no code implementations • CCL 2020 • Haishun Liu, Lei Wang, Yanguang Chen, Shuchen Zhang, Yuanyuan Sun, Hongfei Lin
案件要素识别指将案件描述中重要事实描述自动抽取出来, 并根据领域专家设计的要素体系进行分类, 是智慧司法领域的重要研究内容。基于传统神经网络的文本编码难以提取深层次特征, 基于阈值的多标签分类难以捕获标签间依赖关系, 因此本文提出了基于预训练语言模型的多标签文本分类模型。该模型采用以Layer-attentive策略进行特征融合的语言模型作为编码器, 使用基于LSTM的序列生成模型作为解码器。在“CAIL2019”数据集上进行实验, 该方法比基于循环神经网络的算法在F1值上最高可提升7. 6%, 在相同超参数设置下比基础语言模型(BERT)提升约3. 2%。
no code implementations • ECCV 2020 • Saimunur Rahman, Lei Wang, Changming Sun, Luping Zhou
When learning this representation in deep networks, eigen-decomposition of covariance matrix is usually needed for a key step called matrix normalisation.
no code implementations • COLING 2022 • Yao Dong, Lei Wang, Ji Xiang, Xiaobo Guo, Yuqiang Xie
Knowledge graph embedding, which aims to learn representations of entities and relations in knowledge graphs, finds applications in various downstream tasks.
1 code implementation • Findings (ACL) 2022 • Zhen Wang, Yating Yang, Zhou Xi, Bo Ma, Lei Wang, Rui Dong, Azmat Anwar
We also propose a stable semi-supervised method named stair learning (SL) that orderly distills knowledge from better models to weaker models.
1 code implementation • 26 Mar 2024 • Jinyi Li, Yihuai Lan, Lei Wang, Hao Wang
Prompt compression is an innovative method for efficiently condensing input prompts while preserving essential information.
1 code implementation • 23 Mar 2024 • Zhendong Cao, Xiaoshan Luo, Jian Lv, Lei Wang
We introduce CrystalFormer, a transformer-based autoregressive model specifically designed for space group-controlled generation of crystalline materials.
2 code implementations • 21 Mar 2024 • Quan Zhang, Lei Wang, Vishal M. Patel, Xiaohua Xie, JianHuang Lai
Experiments on two datasets show that VDT is a feasible and effective solution for AGPReID, surpassing the previous method on mAP/Rank1 by up to 5. 0%/2. 7% on CARGO and 3. 7%/5. 2% on AG-ReID, keeping the same magnitude of computational complexity.
1 code implementation • 15 Mar 2024 • Lei Wang, Ee-Peng Lim
Large language models (LLMs) have shown excellent performance on various NLP tasks.
no code implementations • 14 Mar 2024 • Tao Chen, Andreu Cecilia, Daniele Astolfi, Lei Wang, Zhitao Liu, Hongye Su
In remote estimation of cyber-physical systems (CPSs), sensor measurements transmitted through network may be attacked by adversaries, leading to leakage risk of privacy (e. g., the system state), and/or failure of the remote estimator.
no code implementations • 14 Mar 2024 • Yuanqing Huang, Yinggui Wang, Jianshu Li, Le Yang, Kai Song, Lei Wang
Specifically, face images are masked in the frequency domain using an adaptive MixUp strategy.
1 code implementation • 14 Mar 2024 • Fan Zhang, Wei Qin, Weijieying Ren, Lei Wang, Zetong Chen, Richang Hong
Additionally, We find that most of the solutions to long-tailed problems are still biased towards head classes in the end, and we propose a simple and post hoc prediction re-balancing strategy to further mitigate the basis toward head class.
no code implementations • 14 Mar 2024 • Lei Wang, Jieming Bian, Letian Zhang, Chen Chen, Jie Xu
Federated learning (FL) allows collaborative machine learning training without sharing private data.
1 code implementation • 29 Feb 2024 • Weijieying Ren, Xinlong Li, Lei Wang, Tianxiang Zhao, Wei Qin
Through extensive experiments, we uncover the mode connectivity phenomenon in the LLMs continual learning scenario and find that it can strike a balance between plasticity and stability.
1 code implementation • 28 Feb 2024 • Lei Wang, Wanyu Xu, Zhiqiang Hu, Yihuai Lan, Shan Dong, Hao Wang, Roy Ka-Wei Lee, Ee-Peng Lim
This paper introduces a new in-context learning (ICL) mechanism called In-Image Learning (I$^2$L) that combines demonstration examples, visual cues, and instructions into a single image to enhance the capabilities of GPT-4V.
1 code implementation • 27 Feb 2024 • Shuming Ma, Hongyu Wang, Lingxiao Ma, Lei Wang, Wenhui Wang, Shaohan Huang, Li Dong, Ruiping Wang, Jilong Xue, Furu Wei
Recent research, such as BitNet, is paving the way for a new era of 1-bit Large Language Models (LLMs).
no code implementations • 21 Feb 2024 • Yifan Yanggong, Hao Pan, Lei Wang
Games are a simplified model of reality and often serve as a favored platform for Artificial Intelligence (AI) research.
no code implementations • 7 Feb 2024 • Liyun Zhu, Arjun Raj, Lei Wang
To address these challenges, we propose the Scenario-Adaptive Anomaly Detection (SA2D) method, leveraging the few-shot learning framework for faster adaptation of pre-trained models to new concepts.
no code implementations • 7 Feb 2024 • Lei Wang, Jun Liu, Liang Zheng, Tom Gedeon, Piotr Koniusz
For a support sequence, we match it with view-simulated query sequences, as in the popular Dynamic Time Warping (DTW).
1 code implementation • 5 Feb 2024 • Lei Wang, Xiuyuan Yuan, Tom Gedeon, Liang Zheng
Addressing these challenges, we propose the Taylor video, a new video format that highlights the dominate motions (e. g., a waving hand) in each of its frames named the Taylor frame.
no code implementations • 27 Jan 2024 • Zhaoyang Qu, Yunchang Dong, Yang Li, Siqi Song, Tao Jiang, Min Li, Qiming Wang, Lei Wang, Xiaoyong Bo, Jiye Zang, Qi Xu
Unfortunately, this approach tends to overlook the inherent topological correlations within the non-Euclidean spatial attributes of power grid data, consequently leading to diminished accuracy in attack localization.
no code implementations • 24 Jan 2024 • Yuanqing Huang, Huilong Chen, Yinggui Wang, Lei Wang
To the best of our knowledge, the proposed attack model is the very first in the literature developed for FR models without a classification layer.
no code implementations • 18 Jan 2024 • Wei Huang, Yinggui Wang, Anda Cheng, Aihui Zhou, Chaofan Yu, Lei Wang
In this paper, we propose a secure distributed LLM based on model slicing.
no code implementations • 16 Jan 2024 • Guanzhang Liu, Zhengyang Hu, Lei Wang, Hongying Zhang, Jiang Xue, Michail Matthaiou
In this paper, a hypernetwork based framework is proposed for non-stationary channel prediction.
no code implementations • 12 Jan 2024 • Lei Wang, Zihao Ren, Deming Yuan, Guodong Shi
We then employ such a compressed consensus flow as a fundamental consensus subroutine to develop distributed continuous-time and discrete-time solvers for network linear equations, and prove their exponential convergence properties under scalar node communications.
no code implementations • 6 Jan 2024 • Hui Wu, Yuanben Zhang, Zhonghe Han, Yingyan Hou, Lei Wang, Siye liu, Qihang Gong, Yunping Ge
Consequently, this study sought to employ CoT to investigate the capabilities of LLMs in STC tasks.
no code implementations • 24 Dec 2023 • Shufang Zhang, Minxue Ni, Lei Wang, Wenxin Ding, Shuai Chen, Yuhong Liu
The Diffusion model has a strong ability to generate wild images.
1 code implementation • 24 Dec 2023 • Xinglin Xiao, Yijie Wang, Nan Xu, Yuqi Wang, Hanxuan Yang, Minzheng Wang, Yin Luo, Lei Wang, Wenji Mao, Daniel Zeng
The difficulty of the information extraction task lies in dealing with the task-specific label schemas and heterogeneous data structures.
no code implementations • 22 Dec 2023 • Yin Luo, Qingchao Kong, Nan Xu, Jia Cao, Bao Hao, Baoyu Qu, Bo Chen, Chao Zhu, Chenyang Zhao, Donglei Zhang, Fan Feng, Feifei Zhao, Hailong Sun, Hanxuan Yang, Haojun Pan, Hongyu Liu, Jianbin Guo, Jiangtao Du, Jingyi Wang, Junfeng Li, Lei Sun, Liduo Liu, Lifeng Dong, Lili Liu, Lin Wang, Liwen Zhang, Minzheng Wang, Pin Wang, Ping Yu, Qingxiao Li, Rui Yan, Rui Zou, Ruiqun Li, Taiwen Huang, Xiaodong Wang, Xiaofei Wu, Xin Peng, Xina Zhang, Xing Fang, Xinglin Xiao, Yanni Hao, Yao Dong, Yigang Wang, Ying Liu, Yongyu Jiang, Yungan Wang, Yuqi Wang, Zhangsheng Wang, Zhaoxin Yu, Zhen Luo, Wenji Mao, Lei Wang, Dajun Zeng
As the latest advancements in natural language processing, large language models (LLMs) have achieved human-level language understanding and generation abilities in many real-world tasks, and even have been regarded as a potential path to the artificial general intelligence.
1 code implementation • 19 Dec 2023 • Yue Duan, Zhen Zhao, Lei Qi, Luping Zhou, Lei Wang, Yinghuan Shi
While semi-supervised learning (SSL) has yielded promising results, the more realistic SSL scenario remains to be explored, in which the unlabeled data exhibits extremely high recognition difficulty, e. g., fine-grained visual classification in the context of SSL (SS-FGVC).
no code implementations • The Keyword 2023 • Gemini Team, Rohan Anil, Sebastian Borgeaud, Yonghui Wu, Jean-Baptiste Alayrac, Jiahui Yu, Radu Soricut, Johan Schalkwyk, Andrew M. Dai, Anja Hauth, Katie Millican, David Silver, Slav Petrov, Melvin Johnson, Ioannis Antonoglou, Julian Schrittwieser, Amelia Glaese, Jilin Chen, Emily Pitler, Timothy Lillicrap, Angeliki Lazaridou, Orhan Firat, James Molloy, Michael Isard, Paul R. Barham, Tom Hennigan, Benjamin Lee, Fabio Viola, Malcolm Reynolds, Yuanzhong Xu, Ryan Doherty, Eli Collins, Clemens Meyer, Eliza Rutherford, Erica Moreira, Kareem Ayoub, Megha Goel, George Tucker, Enrique Piqueras, Maxim Krikun, Iain Barr, Nikolay Savinov, Ivo Danihelka, Becca Roelofs, Anaïs White, Anders Andreassen, Tamara von Glehn, Lakshman Yagati, Mehran Kazemi, Lucas Gonzalez, Misha Khalman, Jakub Sygnowski, Alexandre Frechette, Charlotte Smith, Laura Culp, Lev Proleev, Yi Luan, Xi Chen, James Lottes, Nathan Schucher, Federico Lebron, Alban Rrustemi, Natalie Clay, Phil Crone, Tomas Kocisky, Jeffrey Zhao, Bartek Perz, Dian Yu, Heidi Howard, Adam Bloniarz, Jack W. Rae, Han Lu, Laurent SIfre, Marcello Maggioni, Fred Alcober, Dan Garrette, Megan Barnes, Shantanu Thakoor, Jacob Austin, Gabriel Barth-Maron, William Wong, Rishabh Joshi, Rahma Chaabouni, Deeni Fatiha, Arun Ahuja, Ruibo Liu, Yunxuan Li, Sarah Cogan, Jeremy Chen, Chao Jia, Chenjie Gu, Qiao Zhang, Jordan Grimstad, Ale Jakse Hartman, Martin Chadwick, Gaurav Singh Tomar, Xavier Garcia, Evan Senter, Emanuel Taropa, Thanumalayan Sankaranarayana Pillai, Jacob Devlin, Michael Laskin, Diego de Las Casas, Dasha Valter, Connie Tao, Lorenzo Blanco, Adrià Puigdomènech Badia, David Reitter, Mianna Chen, Jenny Brennan, Clara Rivera, Sergey Brin, Shariq Iqbal, Gabriela Surita, Jane Labanowski, Abhi Rao, Stephanie Winkler, Emilio Parisotto, Yiming Gu, Kate Olszewska, Yujing Zhang, Ravi Addanki, Antoine Miech, Annie Louis, Laurent El Shafey, Denis Teplyashin, Geoff Brown, Elliot Catt, Nithya Attaluri, Jan Balaguer, Jackie Xiang, Pidong Wang, Zoe Ashwood, Anton Briukhov, Albert Webson, Sanjay Ganapathy, Smit Sanghavi, Ajay Kannan, Ming-Wei Chang, Axel Stjerngren, Josip Djolonga, Yuting Sun, Ankur Bapna, Matthew Aitchison, Pedram Pejman, Henryk Michalewski, Tianhe Yu, Cindy Wang, Juliette Love, Junwhan Ahn, Dawn Bloxwich, Kehang Han, Peter Humphreys, Thibault Sellam, James Bradbury, Varun Godbole, Sina Samangooei, Bogdan Damoc, Alex Kaskasoli, Sébastien M. R. Arnold, Vijay Vasudevan, Shubham Agrawal, Jason Riesa, Dmitry Lepikhin, Richard Tanburn, Srivatsan Srinivasan, Hyeontaek Lim, Sarah Hodkinson, Pranav Shyam, Johan Ferret, Steven Hand, Ankush Garg, Tom Le Paine, Jian Li, Yujia Li, Minh Giang, Alexander Neitz, Zaheer Abbas, Sarah York, Machel Reid, Elizabeth Cole, Aakanksha Chowdhery, Dipanjan Das, Dominika Rogozińska, Vitaly Nikolaev, Pablo Sprechmann, Zachary Nado, Lukas Zilka, Flavien Prost, Luheng He, Marianne Monteiro, Gaurav Mishra, Chris Welty, Josh Newlan, Dawei Jia, Miltiadis Allamanis, Clara Huiyi Hu, Raoul de Liedekerke, Justin Gilmer, Carl Saroufim, Shruti Rijhwani, Shaobo Hou, Disha Shrivastava, Anirudh Baddepudi, Alex Goldin, Adnan Ozturel, Albin Cassirer, Yunhan Xu, Daniel Sohn, Devendra Sachan, Reinald Kim Amplayo, Craig Swanson, Dessie Petrova, Shashi Narayan, Arthur Guez, Siddhartha Brahma, Jessica Landon, Miteyan Patel, Ruizhe Zhao, Kevin Villela, Luyu Wang, Wenhao Jia, Matthew Rahtz, Mai Giménez, Legg Yeung, Hanzhao Lin, James Keeling, Petko Georgiev, Diana Mincu, Boxi Wu, Salem Haykal, Rachel Saputro, Kiran Vodrahalli, James Qin, Zeynep Cankara, Abhanshu Sharma, Nick Fernando, Will Hawkins, Behnam Neyshabur, Solomon Kim, Adrian Hutter, Priyanka Agrawal, Alex Castro-Ros, George van den Driessche, Tao Wang, Shuo-Yiin Chang, Paul Komarek, Ross Mcilroy, Mario Lučić, Guodong Zhang, Wael Farhan, Michael Sharman, Paul Natsev, Paul Michel, Yong Cheng, Yamini Bansal, Siyuan Qiao, Kris Cao, Siamak Shakeri, Christina Butterfield, Justin Chung, Paul Kishan Rubenstein, Shivani Agrawal, Arthur Mensch, Kedar Soparkar, Karel Lenc, Timothy Chung, Aedan Pope, Loren Maggiore, Jackie Kay, Priya Jhakra, Shibo Wang, Joshua Maynez, Mary Phuong, Taylor Tobin, Andrea Tacchetti, Maja Trebacz, Kevin Robinson, Yash Katariya, Sebastian Riedel, Paige Bailey, Kefan Xiao, Nimesh Ghelani, Lora Aroyo, Ambrose Slone, Neil Houlsby, Xuehan Xiong, Zhen Yang, Elena Gribovskaya, Jonas Adler, Mateo Wirth, Lisa Lee, Music Li, Thais Kagohara, Jay Pavagadhi, Sophie Bridgers, Anna Bortsova, Sanjay Ghemawat, Zafarali Ahmed, Tianqi Liu, Richard Powell, Vijay Bolina, Mariko Iinuma, Polina Zablotskaia, James Besley, Da-Woon Chung, Timothy Dozat, Ramona Comanescu, Xiance Si, Jeremy Greer, Guolong Su, Martin Polacek, Raphaël Lopez Kaufman, Simon Tokumine, Hexiang Hu, Elena Buchatskaya, Yingjie Miao, Mohamed Elhawaty, Aditya Siddhant, Nenad Tomasev, Jinwei Xing, Christina Greer, Helen Miller, Shereen Ashraf, Aurko Roy, Zizhao Zhang, Ada Ma, Angelos Filos, Milos Besta, Rory Blevins, Ted Klimenko, Chih-Kuan Yeh, Soravit Changpinyo, Jiaqi Mu, Oscar Chang, Mantas Pajarskas, Carrie Muir, Vered Cohen, Charline Le Lan, Krishna Haridasan, Amit Marathe, Steven Hansen, Sholto Douglas, Rajkumar Samuel, Mingqiu Wang, Sophia Austin, Chang Lan, Jiepu Jiang, Justin Chiu, Jaime Alonso Lorenzo, Lars Lowe Sjösund, Sébastien Cevey, Zach Gleicher, Thi Avrahami, Anudhyan Boral, Hansa Srinivasan, Vittorio Selo, Rhys May, Konstantinos Aisopos, Léonard Hussenot, Livio Baldini Soares, Kate Baumli, Michael B. Chang, Adrià Recasens, Ben Caine, Alexander Pritzel, Filip Pavetic, Fabio Pardo, Anita Gergely, Justin Frye, Vinay Ramasesh, Dan Horgan, Kartikeya Badola, Nora Kassner, Subhrajit Roy, Ethan Dyer, Víctor Campos, Alex Tomala, Yunhao Tang, Dalia El Badawy, Elspeth White, Basil Mustafa, Oran Lang, Abhishek Jindal, Sharad Vikram, Zhitao Gong, Sergi Caelles, Ross Hemsley, Gregory Thornton, Fangxiaoyu Feng, Wojciech Stokowiec, Ce Zheng, Phoebe Thacker, Çağlar Ünlü, Zhishuai Zhang, Mohammad Saleh, James Svensson, Max Bileschi, Piyush Patil, Ankesh Anand, Roman Ring, Katerina Tsihlas, Arpi Vezer, Marco Selvi, Toby Shevlane, Mikel Rodriguez, Tom Kwiatkowski, Samira Daruki, Keran Rong, Allan Dafoe, Nicholas FitzGerald, Keren Gu-Lemberg, Mina Khan, Lisa Anne Hendricks, Marie Pellat, Vladimir Feinberg, James Cobon-Kerr, Tara Sainath, Maribeth Rauh, Sayed Hadi Hashemi, Richard Ives, Yana Hasson, Yaguang Li, Eric Noland, Yuan Cao, Nathan Byrd, Le Hou, Qingze Wang, Thibault Sottiaux, Michela Paganini, Jean-Baptiste Lespiau, Alexandre Moufarek, Samer Hassan, Kaushik Shivakumar, Joost van Amersfoort, Amol Mandhane, Pratik Joshi, Anirudh Goyal, Matthew Tung, Andrew Brock, Hannah Sheahan, Vedant Misra, Cheng Li, Nemanja Rakićević, Mostafa Dehghani, Fangyu Liu, Sid Mittal, Junhyuk Oh, Seb Noury, Eren Sezener, Fantine Huot, Matthew Lamm, Nicola De Cao, Charlie Chen, Gamaleldin Elsayed, Ed Chi, Mahdis Mahdieh, Ian Tenney, Nan Hua, Ivan Petrychenko, Patrick Kane, Dylan Scandinaro, Rishub Jain, Jonathan Uesato, Romina Datta, Adam Sadovsky, Oskar Bunyan, Dominik Rabiej, Shimu Wu, John Zhang, Gautam Vasudevan, Edouard Leurent, Mahmoud Alnahlawi, Ionut Georgescu, Nan Wei, Ivy Zheng, Betty Chan, Pam G Rabinovitch, Piotr Stanczyk, Ye Zhang, David Steiner, Subhajit Naskar, Michael Azzam, Matthew Johnson, Adam Paszke, Chung-Cheng Chiu, Jaume Sanchez Elias, Afroz Mohiuddin, Faizan Muhammad, Jin Miao, Andrew Lee, Nino Vieillard, Sahitya Potluri, Jane Park, Elnaz Davoodi, Jiageng Zhang, Jeff Stanway, Drew Garmon, Abhijit Karmarkar, Zhe Dong, Jong Lee, Aviral Kumar, Luowei Zhou, Jonathan Evens, William Isaac, Zhe Chen, Johnson Jia, Anselm Levskaya, Zhenkai Zhu, Chris Gorgolewski, Peter Grabowski, Yu Mao, Alberto Magni, Kaisheng Yao, Javier Snaider, Norman Casagrande, Paul Suganthan, Evan Palmer, Geoffrey Irving, Edward Loper, Manaal Faruqui, Isha Arkatkar, Nanxin Chen, Izhak Shafran, Michael Fink, Alfonso Castaño, Irene Giannoumis, Wooyeol Kim, Mikołaj Rybiński, Ashwin Sreevatsa, Jennifer Prendki, David Soergel, Adrian Goedeckemeyer, Willi Gierke, Mohsen Jafari, Meenu Gaba, Jeremy Wiesner, Diana Gage Wright, Yawen Wei, Harsha Vashisht, Yana Kulizhskaya, Jay Hoover, Maigo Le, Lu Li, Chimezie Iwuanyanwu, Lu Liu, Kevin Ramirez, Andrey Khorlin, Albert Cui, Tian Lin, Marin Georgiev, Marcus Wu, Ricardo Aguilar, Keith Pallo, Abhishek Chakladar, Alena Repina, Xihui Wu, Tom van der Weide, Priya Ponnapalli, Caroline Kaplan, Jiri Simsa, Shuangfeng Li, Olivier Dousse, Jeff Piper, Nathan Ie, Minnie Lui, Rama Pasumarthi, Nathan Lintz, Anitha Vijayakumar, Lam Nguyen Thiet, Daniel Andor, Pedro Valenzuela, Cosmin Paduraru, Daiyi Peng, Katherine Lee, Shuyuan Zhang, Somer Greene, Duc Dung Nguyen, Paula Kurylowicz, Sarmishta Velury, Sebastian Krause, Cassidy Hardin, Lucas Dixon, Lili Janzer, Kiam Choo, Ziqiang Feng, Biao Zhang, Achintya Singhal, Tejasi Latkar, Mingyang Zhang, Quoc Le, Elena Allica Abellan, Dayou Du, Dan McKinnon, Natasha Antropova, Tolga Bolukbasi, Orgad Keller, David Reid, Daniel Finchelstein, Maria Abi Raad, Remi Crocker, Peter Hawkins, Robert Dadashi, Colin Gaffney, Sid Lall, Ken Franko, Egor Filonov, Anna Bulanova, Rémi Leblond, Vikas Yadav, Shirley Chung, Harry Askham, Luis C. Cobo, Kelvin Xu, Felix Fischer, Jun Xu, Christina Sorokin, Chris Alberti, Chu-Cheng Lin, Colin Evans, Hao Zhou, Alek Dimitriev, Hannah Forbes, Dylan Banarse, Zora Tung, Jeremiah Liu, Mark Omernick, Colton Bishop, Chintu Kumar, Rachel Sterneck, Ryan Foley, Rohan Jain, Swaroop Mishra, Jiawei Xia, Taylor Bos, Geoffrey Cideron, Ehsan Amid, Francesco Piccinno, Xingyu Wang, Praseem Banzal, Petru Gurita, Hila Noga, Premal Shah, Daniel J. Mankowitz, Alex Polozov, Nate Kushman, Victoria Krakovna, Sasha Brown, Mohammadhossein Bateni, Dennis Duan, Vlad Firoiu, Meghana Thotakuri, Tom Natan, Anhad Mohananey, Matthieu Geist, Sidharth Mudgal, Sertan Girgin, Hui Li, Jiayu Ye, Ofir Roval, Reiko Tojo, Michael Kwong, James Lee-Thorp, Christopher Yew, Quan Yuan, Sumit Bagri, Danila Sinopalnikov, Sabela Ramos, John Mellor, Abhishek Sharma, Aliaksei Severyn, Jonathan Lai, Kathy Wu, Heng-Tze Cheng, David Miller, Nicolas Sonnerat, Denis Vnukov, Rory Greig, Jennifer Beattie, Emily Caveness, Libin Bai, Julian Eisenschlos, Alex Korchemniy, Tomy Tsai, Mimi Jasarevic, Weize Kong, Phuong Dao, Zeyu Zheng, Frederick Liu, Fan Yang, Rui Zhu, Mark Geller, Tian Huey Teh, Jason Sanmiya, Evgeny Gladchenko, Nejc Trdin, Andrei Sozanschi, Daniel Toyama, Evan Rosen, Sasan Tavakkol, Linting Xue, Chen Elkind, Oliver Woodman, John Carpenter, George Papamakarios, Rupert Kemp, Sushant Kafle, Tanya Grunina, Rishika Sinha, Alice Talbert, Abhimanyu Goyal, Diane Wu, Denese Owusu-Afriyie, Cosmo Du, Chloe Thornton, Jordi Pont-Tuset, Pradyumna Narayana, Jing Li, Sabaer Fatehi, John Wieting, Omar Ajmeri, Benigno Uria, Tao Zhu, Yeongil Ko, Laura Knight, Amélie Héliou, Ning Niu, Shane Gu, Chenxi Pang, Dustin Tran, Yeqing Li, Nir Levine, Ariel Stolovich, Norbert Kalb, Rebeca Santamaria-Fernandez, Sonam Goenka, Wenny Yustalim, Robin Strudel, Ali Elqursh, Balaji Lakshminarayanan, Charlie Deck, Shyam Upadhyay, Hyo Lee, Mike Dusenberry, Zonglin Li, Xuezhi Wang, Kyle Levin, Raphael Hoffmann, Dan Holtmann-Rice, Olivier Bachem, Summer Yue, Sho Arora, Eric Malmi, Daniil Mirylenka, Qijun Tan, Christy Koh, Soheil Hassas Yeganeh, Siim Põder, Steven Zheng, Francesco Pongetti, Mukarram Tariq, Yanhua Sun, Lucian Ionita, Mojtaba Seyedhosseini, Pouya Tafti, Ragha Kotikalapudi, Zhiyu Liu, Anmol Gulati, Jasmine Liu, Xinyu Ye, Bart Chrzaszcz, Lily Wang, Nikhil Sethi, Tianrun Li, Ben Brown, Shreya Singh, Wei Fan, Aaron Parisi, Joe Stanton, Chenkai Kuang, Vinod Koverkathu, Christopher A. Choquette-Choo, Yunjie Li, TJ Lu, Abe Ittycheriah, Prakash Shroff, Pei Sun, Mani Varadarajan, Sanaz Bahargam, Rob Willoughby, David Gaddy, Ishita Dasgupta, Guillaume Desjardins, Marco Cornero, Brona Robenek, Bhavishya Mittal, Ben Albrecht, Ashish Shenoy, Fedor Moiseev, Henrik Jacobsson, Alireza Ghaffarkhah, Morgane Rivière, Alanna Walton, Clément Crepy, Alicia Parrish, YuAn Liu, Zongwei Zhou, Clement Farabet, Carey Radebaugh, Praveen Srinivasan, Claudia van der Salm, Andreas Fidjeland, Salvatore Scellato, Eri Latorre-Chimoto, Hanna Klimczak-Plucińska, David Bridson, Dario de Cesare, Tom Hudson, Piermaria Mendolicchio, Lexi Walker, Alex Morris, Ivo Penchev, Matthew Mauger, Alexey Guseynov, Alison Reid, Seth Odoom, Lucia Loher, Victor Cotruta, Madhavi Yenugula, Dominik Grewe, Anastasia Petrushkina, Tom Duerig, Antonio Sanchez, Steve Yadlowsky, Amy Shen, Amir Globerson, Adam Kurzrok, Lynette Webb, Sahil Dua, Dong Li, Preethi Lahoti, Surya Bhupatiraju, Dan Hurt, Haroon Qureshi, Ananth Agarwal, Tomer Shani, Matan Eyal, Anuj Khare, Shreyas Rammohan Belle, Lei Wang, Chetan Tekur, Mihir Sanjay Kale, Jinliang Wei, Ruoxin Sang, Brennan Saeta, Tyler Liechty, Yi Sun, Yao Zhao, Stephan Lee, Pandu Nayak, Doug Fritz, Manish Reddy Vuyyuru, John Aslanides, Nidhi Vyas, Martin Wicke, Xiao Ma, Taylan Bilal, Evgenii Eltyshev, Daniel Balle, Nina Martin, Hardie Cate, James Manyika, Keyvan Amiri, Yelin Kim, Xi Xiong, Kai Kang, Florian Luisier, Nilesh Tripuraneni, David Madras, Mandy Guo, Austin Waters, Oliver Wang, Joshua Ainslie, Jason Baldridge, Han Zhang, Garima Pruthi, Jakob Bauer, Feng Yang, Riham Mansour, Jason Gelman, Yang Xu, George Polovets, Ji Liu, Honglong Cai, Warren Chen, XiangHai Sheng, Emily Xue, Sherjil Ozair, Adams Yu, Christof Angermueller, Xiaowei Li, Weiren Wang, Julia Wiesinger, Emmanouil Koukoumidis, Yuan Tian, Anand Iyer, Madhu Gurumurthy, Mark Goldenson, Parashar Shah, MK Blake, Hongkun Yu, Anthony Urbanowicz, Jennimaria Palomaki, Chrisantha Fernando, Kevin Brooks, Ken Durden, Harsh Mehta, Nikola Momchev, Elahe Rahimtoroghi, Maria Georgaki, Amit Raul, Sebastian Ruder, Morgan Redshaw, Jinhyuk Lee, Komal Jalan, Dinghua Li, Ginger Perng, Blake Hechtman, Parker Schuh, Milad Nasr, Mia Chen, Kieran Milan, Vladimir Mikulik, Trevor Strohman, Juliana Franco, Tim Green, Demis Hassabis, Koray Kavukcuoglu, Jeffrey Dean, Oriol Vinyals
This report introduces a new family of multimodal models, Gemini, that exhibit remarkable capabilities across image, audio, video, and text understanding.
Ranked #1 on Multi-task Language Understanding on MMLU
no code implementations • 16 Dec 2023 • Lei Wang, Jieming Bian, Jie Xu
We introduce a novel algorithm called FedBeat (Federated Learning with Bayesian Ensemble-Assisted Transition Matrix Estimation).
1 code implementation • 4 Dec 2023 • Lei Wang, Jiabang He, Shenshen Li, Ning Liu, Ee-Peng Lim
The fine-grained object attributes and behaviors non-existent in the image may still be generated but not measured by the current evaluation methods.
no code implementations • 27 Nov 2023 • Lei Wang, Qingbo Wu, Desen Yuan, King Ngi Ngan, Hongliang Li, Fanman Meng, Linfeng Xu
Learning based image quality assessment (IQA) models have obtained impressive performance with the help of reliable subjective quality labels, where mean opinion score (MOS) is the most popular choice.
1 code implementation • 26 Nov 2023 • Lei Wang, Yibing Zhan, Leilei Ma, Dapeng Tao, Liang Ding, Chen Gong
The "splice" in our method is two-fold: 1) Each mixed image is a splice of several downsampled images in the form of a grid, where the semantics of images attending to mixing are blended without object deficiencies for alleviating co-occurred bias; 2) We splice mixed images and the original mini-batch to form a new SpliceMixed mini-batch, which allows an image with different scales to contribute to training together.
no code implementations • 19 Nov 2023 • Lei Wang, Yinchi Ma, Peng Luan, Wei Yao, CongCong Li, Bo Liu
Gait recognition has achieved promising advances in controlled settings, yet it significantly struggles in unconstrained environments due to challenges such as view changes, occlusions, and varying walking speeds.
no code implementations • 6 Nov 2023 • Jieming Bian, Lei Wang, Shaolei Ren, Jie Xu
Training large-scale artificial intelligence (AI) models demands significant computational power and energy, leading to increased carbon footprint with potential environmental repercussions.
no code implementations • 31 Oct 2023 • Yingshu Li, Yunyi Liu, Zhanyu Wang, Xinyu Liang, Lei Wang, Lingqiao Liu, Leyang Cui, Zhaopeng Tu, Longyue Wang, Luping Zhou
This work conducts an evaluation of GPT-4V's multimodal capability for medical image analysis, with a focus on three representative tasks of radiology report generation, medical visual question answering, and medical visual grounding.
no code implementations • 25 Oct 2023 • Qingyuan Tian, Hanlun Zhu, Lei Wang, Yang Li, Yunshi Lan
More analyses and ablation studies show the robustness and generalization of R$^3$ prompting method in solving reasoning tasks in LLMs under noisy context.
1 code implementation • 23 Oct 2023 • Yihuai Lan, Zhiqiang Hu, Lei Wang, Yang Wang, Deheng Ye, Peilin Zhao, Ee-Peng Lim, Hui Xiong, Hao Wang
To achieve this goal, we adopt Avalon, a representative communication game, as the environment and use system prompts to guide LLM agents to play the game.
no code implementations • 20 Oct 2023 • Liangze Jiang, Zhengguang Wu, Lei Wang
A new class of adaptive algorithms are proposed to solve time-varying convex optimization problems.
no code implementations • 16 Oct 2023 • Lei Wang, Piotr Koniusz
Various research studies indicate that action recognition performance highly depends on the types of motions being extracted and how accurate the human actions are represented.
no code implementations • 12 Oct 2023 • Zhan Chen, Yidan Zhang, Xiyu Qi, Yongqiang Mao, Xin Zhou, Lulu Niu, Hui Wu, Lei Wang, Yunping Ge
MIB supplements the fixed sample grid in CNN of the conventional backbone network with tokens of different interaction ranges.
no code implementations • 12 Oct 2023 • Yuanyuan Liang, Jianing Wang, Hanlun Zhu, Lei Wang, Weining Qian, Yunshi Lan
Inspired by Chain-of-Thought (CoT) prompting, which is an in-context learning strategy for reasoning, we formulate KBQG task as a reasoning problem, where the generation of a complete question is splitted into a series of sub-question generation.
1 code implementation • 11 Oct 2023 • Lei Wang, Songheng Zhang, Yun Wang, Ee-Peng Lim, Yong Wang
To obtain demonstration examples with high-quality explanations, we propose a new explanation generation bootstrapping to iteratively refine generated explanations by considering the previous generation and template-based hint.
no code implementations • 9 Oct 2023 • Lei Wang, Piotr Koniusz, Tom Gedeon, Liang Zheng
As such, enforcing a high similarity for positive pairs and a low similarity for negative pairs may not always be achievable, and in the case of some pairs, forcing so may be detrimental to the performance.
no code implementations • 8 Oct 2023 • Taoran Wu, Dejin Ren, Shuyuan Zhang, Lei Wang, Bai Xue
Digital control has become increasingly prevalent in modern systems, making continuous-time plants controlled by discrete-time (digital) controllers ubiquitous and crucial across industries, including aerospace, automotive, and manufacturing.
no code implementations • 27 Sep 2023 • Lei Wang
Based on the analysis of both case studies, using AI techniques such as deep learning and machine learning in software systems contributes to intelligent systems.
1 code implementation • 26 Sep 2023 • Hanyue Du, Yike Zhao, Qingyuan Tian, Jiani Wang, Lei Wang, Yunshi Lan, Xuesong Lu
Chinese Grammatical Error Correction (CGEC) has been attracting growing attention from researchers recently.
1 code implementation • 18 Sep 2023 • Zhanyu Wang, Lingqiao Liu, Lei Wang, Luping Zhou
First, it attains state-of-the-art (SOTA) performance by training only the lightweight visual alignment module while freezing all the parameters of LLM.
no code implementations • 15 Sep 2023 • Lei Wang, Weijia Liu, Fanghong Guo, Zixin Qiao, Zhengguang Wu
Gaussian noise and the output of the mechanism using Gaussian noises, it is shown that the resulting average consensus algorithm can eliminate the gap in the sense that the accuracy-privacy trade-off of the centralized averaging approach with differential privacy can be almost recovered by appropriately designing the variances of the added noises.
no code implementations • 13 Sep 2023 • Lei Wang, Pinjun Zheng, Xing Liu, Tarig Ballal, Tareq Y. Al-Naffouri
The growing availability of low-Earth orbit (LEO) satellites, coupled with the anticipated widespread deployment of reconfigurable intelligent surfaces (RISs), opens up promising prospects for new localization paradigms.
1 code implementation • ICCV 2023 • Guan Gui, Zhen Zhao, Lei Qi, Luping Zhou, Lei Wang, Yinghuan Shi
Sample adaptive augmentation (SAA) is proposed for this stated purpose and consists of two modules: 1) sample selection module; 2) sample augmentation module.
1 code implementation • 26 Aug 2023 • Chengkun Wei, Wenlong Meng, Zhikun Zhang, Min Chen, Minghu Zhao, Wenjing Fang, Lei Wang, Zihui Zhang, Wenzhi Chen
Instead of directly inverting the triggers, LMSanitator aims to invert the predefined attack vectors (pretrained models' output when the input is embedded with triggers) of the task-agnostic backdoors, which achieves much better convergence performance and backdoor detection accuracy.
1 code implementation • 23 Aug 2023 • Lei Wang, Zejian yuan, Yao Lu, Badong Chen
We also propose a self-supervised learning approach to enhance the prediction ability of the tail-prefer feature representation branch by constraining tail-prefer predicate features.
2 code implementations • 22 Aug 2023 • Lei Wang, Chen Ma, Xueyang Feng, Zeyu Zhang, Hao Yang, Jingsen Zhang, ZhiYuan Chen, Jiakai Tang, Xu Chen, Yankai Lin, Wayne Xin Zhao, Zhewei Wei, Ji-Rong Wen
In this paper, we present a comprehensive survey of these studies, delivering a systematic review of the field of LLM-based autonomous agents from a holistic perspective.
2 code implementations • ICCV 2023 • Yue Duan, Zhen Zhao, Lei Qi, Luping Zhou, Lei Wang, Yinghuan Shi
Semi-supervised learning (SSL) tackles the label missing problem by enabling the effective usage of unlabeled data.
no code implementations • 16 Aug 2023 • Jiabang He, Liu Jia, Lei Wang, Xiyao Li, Xing Xu
However, they struggle with semantically rich real-world entities due to limited structural information and fail to generalize to unseen entities.
Ranked #1 on Link Prediction on WN18RR
no code implementations • 11 Aug 2023 • Yatao Li, Wanling Gao, Lei Wang, Lixin Sun, Zun Wang, Jianfeng Zhan
This suite of metrics has demonstrated a better ability to assess a model's performance in real-world scientific applications, in contrast to traditional AI benchmarking methodologies.
1 code implementation • 25 Jul 2023 • YiFei Gao, Lei Wang, Jun Fang, Longhua Hu, Jun Cheng
Recently, with the emergence of numerous Large Language Models (LLMs), the implementation of AI has entered a new era.
1 code implementation • 19 Jul 2023 • Leilei Ma, Dengdi Sun, Lei Wang, Haifeng Zhao, Bin Luo
Specifically, we leverage semantic-aware representation learning to extract category-related local discriminative features and construct category prototypes.
Ranked #1 on Multi-Label Learning on COCO 2014
no code implementations • ICCV 2023 • Lei Wang, Bo Liu, Fangfang Liang, Bincheng Wang
While current methods focus on exploiting body part-based representations, they often neglect the hierarchical dependencies between local motion patterns.
no code implementations • 17 Jul 2023 • Hongxiao Li, Wanling Gao, Lei Wang, Jianfeng Zhan
The study of \textsc{Lara}'s expressive ability reports that it can represent relational algebra and most linear algebra operations.
1 code implementation • 13 Jul 2023 • Tao Ge, Jing Hu, Lei Wang, Xun Wang, Si-Qing Chen, Furu Wei
We propose the In-context Autoencoder (ICAE), leveraging the power of a large language models (LLM) to compress a long context into short compact memory slots that can be directly conditioned on by the LLM for various purposes.
no code implementations • 10 Jul 2023 • Jiale Li, Zhixin Li, Yibo Wang, Yao Li, Lei Wang
However, it brings challenges in information security and data security.
no code implementations • 29 Jun 2023 • Xianyang Li, Jiayi Xu, Haoxuan Xu, Yunxuan Ma, Yu Zhong, Lei Wang
The stock segment of China's time-honored brand enterprises has an important position in our securities stock market.
no code implementations • 22 Jun 2023 • Bowen Yi, Chi Jin, Lei Wang, Guodong Shi, Viorela Ila, Ian R. Manchester
This paper introduces a new linear parameterization to the problem of visual inertial simultaneous localization and mapping (VI-SLAM) -- without any approximation -- for the case only using information from a single monocular camera and an inertial measurement unit.
no code implementations • 10 Jun 2023 • Xiaoyang Hao, Han Li, Jun Cheng, Lei Wang
However, these methods present rotation semantic ambiguity, rotation error accumulation, and shape estimation overfitting, which also leads to errors in the estimated pose.
1 code implementation • 5 Jun 2023 • Lei Wang, Jingsen Zhang, Hao Yang, ZhiYuan Chen, Jiakai Tang, Zeyu Zhang, Xu Chen, Yankai Lin, Ruihua Song, Wayne Xin Zhao, Jun Xu, Zhicheng Dou, Jun Wang, Ji-Rong Wen
Simulating high quality user behavior data has always been a fundamental problem in human-centered applications, where the major difficulty originates from the intricate mechanism of human decision process.
1 code implementation • 5 Jun 2023 • Jiabang He, Yi Hu, Lei Wang, Xing Xu, Ning Liu, Hui Liu, Heng Tao Shen
Results from the experiments demonstrate that there is a significant performance gap between the in-distribution (ID) and OOD settings for document images, and that fine-grained analysis of distribution shifts can reveal the brittle nature of existing pre-trained VDU models and OOD generalization algorithms.
no code implementations • 2 Jun 2023 • Ethan Zhang, Hao Xiao, Yiqian Gan, Lei Wang
In this work we propose a deep learning model, i. e., SAPI, to predict vehicle trajectories at intersections.
no code implementations • CVPR 2023 • Shiwei Jin, Zhen Wang, Lei Wang, Ning Bi, Truong Nguyen
Then both the initial and edited embeddings are projected back (deprojected) to the initial latent space as residuals to modify the input latent vectors by subtraction and addition, representing old status removal and new status addition.
1 code implementation • 18 May 2023 • Bhanu Prakash Voutharoja, Peng Wang, Lei Wang, Vivienne Guan
A de-facto idea to address this task is to learn a shared feature embedding space in which a food image is aligned better to its paired recipe than other recipes.
1 code implementation • 11 May 2023 • Bhanu Prakash Voutharoja, Lei Wang, Luping Zhou
At each iteration, conditioned on a given set of hard negative reports, image and report features are learned as usual by minimising the loss functions related to report generation.
no code implementations • 9 May 2023 • Wei Qin, Zetong Chen, Lei Wang, Yunshi Lan, Weijieying Ren, Richang Hong
This paper proposes a new depression detection system based on LLMs that is both interpretable and interactive.
1 code implementation • 8 May 2023 • Yi Bin, Mengqun Han, Wenhao Shi, Lei Wang, Yang Yang, See-Kiong Ng, Heng Tao Shen
For evaluating the possible expression variants, we design a path-based metric to evaluate the partial accuracy of expressions of a unified tree.
3 code implementations • 6 May 2023 • Lei Wang, Wanyu Xu, Yihuai Lan, Zhiqiang Hu, Yunshi Lan, Roy Ka-Wei Lee, Ee-Peng Lim
To address the calculation errors and improve the quality of generated reasoning steps, we extend PS prompting with more detailed instructions and derive PS+ prompting.
1 code implementation • 5 May 2023 • Lei Wang, Yi Hu, Jiabang He, Xing Xu, Ning Liu, Hui Liu, Heng Tao Shen
To address these issues, we propose a novel method termed T-SciQ that aims at teaching science question answering with LLM signals.
no code implementations • 2 May 2023 • Wenchang Li, Yixing Chen, Shuang Zheng, Lei Wang, John P. Lalor
We also demonstrate the interpretability of DSPN's outputs on reviews to show the pyramid structure inherent in unified sentiment analysis.
Aspect Category Detection Aspect Category Sentiment Analysis +1
1 code implementation • CVPR 2023 • Saimunur Rahman, Piotr Koniusz, Lei Wang, Luping Zhou, Peyman Moghadam, Changming Sun
Our work obtains a partial correlation based deep visual representation and mitigates the small sample problem often encountered by covariance matrix estimation in CNN.
no code implementations • 10 Apr 2023 • Jieming Bian, Lei Wang, Kun Yang, Cong Shen, Jie Xu
In this paper, we provide theoretical analysis of hybrid FL under clients' partial participation to validate that partial participation is the key constraint on convergence speed.
1 code implementation • 6 Apr 2023 • Lei Wang, Ee-Peng Lim
Large language models (LLMs) have achieved impressive zero-shot performance in various natural language processing (NLP) tasks, demonstrating their capabilities for inference without training examples.
no code implementations • CVPR 2023 • Zhanyu Wang, Lingqiao Liu, Lei Wang, Luping Zhou
In the encoder, each expert token interacts with both vision tokens and other expert tokens to learn to attend different image regions for image representation.
2 code implementations • 4 Apr 2023 • Zhiqiang Hu, Lei Wang, Yihuai Lan, Wanyu Xu, Ee-Peng Lim, Lidong Bing, Xing Xu, Soujanya Poria, Roy Ka-Wei Lee
The success of large language models (LLMs), like GPT-4 and ChatGPT, has led to the development of numerous cost-effective and accessible alternatives that are created by finetuning open-access LLMs with task-specific data (e. g., ChatDoctor) or instruction data (e. g., Alpaca).
no code implementations • CVPR 2023 • Lei Wang, Piotr Koniusz
We split action sequences into temporal blocks, Higher-order Transformer (HoT) produces embeddings of each temporal block based on (i) the body joints, (ii) pairwise links of body joints and (iii) higher-order hyper-edges of skeleton body joints.
no code implementations • 24 Mar 2023 • Taiqiang Wu, Zhe Zhao, Jiahao Wang, Xingyu Bai, Lei Wang, Ngai Wong, Yujiu Yang
Distilling high-accuracy Graph Neural Networks~(GNNs) to low-latency multilayer perceptrons~(MLPs) on graph tasks has become a hot research topic.
1 code implementation • ICCV 2023 • Jiabang He, Lei Wang, Yi Hu, Ning Liu, Hui Liu, Xing Xu, Heng Tao Shen
To this end, we propose a simple but effective in-context learning framework called ICL-D3IE, which enables LLMs to perform DIE with different types of demonstration examples.
no code implementations • 1 Mar 2023 • Xu Chen, Jingsen Zhang, Lei Wang, Quanyu Dai, Zhenhua Dong, Ruiming Tang, Rui Zhang, Li Chen, Ji-Rong Wen
To alleviate the above problems, we propose to build an explainable recommendation dataset with multi-aspect real user labeled ground truths.
no code implementations • 21 Feb 2023 • Zizhang Wu, Guilian Chen, Yuanzhu Gan, Lei Wang, Jian Pu
To achieve so, we inject the semantic alignment into the radar features via the semantic-aligned radar encoder (SARE) to produce image-guided radar features.
Ranked #7 on 3D Object Detection on nuscenes Camera-Radar
no code implementations • 21 Feb 2023 • Zizhang Wu, Yuanzhu Gan, Lei Wang, Guilian Chen, Jian Pu
Monocular 3D object detection reveals an economical but challenging task in autonomous driving.
no code implementations • 31 Jan 2023 • Xu Wen, Wanling Gao, Anzheng Li, Lei Wang, Zihan Jiang, Jianfeng Zhan
Without a unified framework, the hybrid deployments of deep learning (DL) and CML also suffer from severe performance and portability issues.
no code implementations • 5 Jan 2023 • Lei Yu, Wanqi Yang, Shengqi Huang, Lei Wang, Ming Yang
However, the goal of FS-UDA and FSL are relevant yet distinct, since FS-UDA aims to classify the samples in target domain rather than source domain.
no code implementations • 4 Jan 2023 • Danjie Zhu, Lei Wang, Hua Zhang, Simon X. Yang
This paper proposes an intelligent fault-tolerant control (FTC) strategy to tackle the trajectory tracking problem of an underwater vehicle (UV) under thruster damage (power loss) cases and meanwhile resolve the actuator saturation brought by the vehicle's physical constraints.
no code implementations • ICCV 2023 • Lei Wang, Min Dai, Jianan He, Jingwei Huang
Our key idea is using primitive graph as a unified representation of vector maps and formulating shape regularization and topology reconstruction as primitive graph reconstruction problems that can be solved in the same framework.
1 code implementation • ICCV 2023 • Zhongyan Zhang, Lei Wang, Luping Zhou, Piotr Koniusz
To this end, we propose a novel feature learning framework for instance image retrieval, which embeds local spatial context information into the learned global feature representations.
no code implementations • 25 Dec 2022 • Zhengxin Yang, Wanling Gao, Chunjie Luo, Lei Wang, Fei Tang, Xu Wen, Jianfeng Zhan
The study unveils a counterintuitive revelation: deep learning inference quality exhibits fluctuations due to inference time.
no code implementations • 23 Dec 2022 • Zhao Shan, Lei Wang, PengFei Liu, Tianyao Huang, Yimin Liu
To address this challenge, we use a novel iteratively selecting technique which breaks a difficult decision task into several easy tasks.
no code implementations • 21 Dec 2022 • Hongxiao Li, Wanling Gao, Lei Wang, Jianfeng Zhan
This article presents a unified computation model with generalized expression ability and a concise set of primitive operators for programming high-level algorithms.
1 code implementation • Advances in Neural Information Processing Systems 2022 • Yu Ding, Lei Wang, Bin Liang, Shuming Liang, Yang Wang, Fang Chen
With the images output by the encoder-decoder network, another classifier is designed to learn the domain-invariant features to conduct image classification.
Ranked #17 on Domain Generalization on PACS
1 code implementation • 1 Dec 2022 • Zhenwen Liang, Jipeng Zhang, Lei Wang, Yan Wang, Jie Shao, Xiangliang Zhang
In this paper, we design a new training framework for an MWP solver by introducing a solution buffer and a solution discriminator.
1 code implementation • 28 Nov 2022 • Lanling Xu, Zhen Tian, Gaowei Zhang, Lei Wang, Junjie Zhang, Bowen Zheng, YiFan Li, Yupeng Hou, Xingyu Pan, Yushuo Chen, Wayne Xin Zhao, Xu Chen, Ji-Rong Wen
In order to show the recent update in RecBole, we write this technical report to introduce our latest improvements on RecBole.
1 code implementation • 27 Nov 2022 • Lei Wang, Jiabang He, Xing Xu, Ning Liu, Hui Liu
In this paper, we propose a new model architecture with alignment-enriched tuning (dubbed AETNet) upon pre-trained document image models, to adapt downstream tasks with the joint task-specific supervised and alignment-aware contrastive objective.
no code implementations • 26 Nov 2022 • Wenbin Li, Meihao Kong, Xuesong Yang, Lei Wang, Jing Huo, Yang Gao, Jiebo Luo
In this study, we present a new unified contrastive learning representation framework (named UniCLR) suitable for all the above four kinds of methods from a novel perspective of basic affinity matrix.
1 code implementation • 24 Nov 2022 • Lei Wang, Hongyu Yang, Yi Lin, Suwan Yin, Yuankai Wu
Although DRL has achieved important advancements in this field, the existing works pay little attention to the explainability and safety issues related to DRL controllers, particularly the safety under adversarial attacks.
no code implementations • 16 Nov 2022 • Lei Wang, Ziyi Zhao, Hanwei Liu, Junwei Pang, Yi Qin, Qidi Wu
With the introduction of ChatGPT, the public's perception of AI-generated content (AIGC) has begun to reshape.
1 code implementation • 15 Nov 2022 • Leilei Gan, Baokui Li, Kun Kuang, Yating Zhang, Lei Wang, Luu Anh Tuan, Yi Yang, Fei Wu
Given the fact description text of a legal case, legal judgment prediction (LJP) aims to predict the case's charge, law article and penalty term.
no code implementations • 10 Nov 2022 • Anguo Dong, Cuiyun Gao, Yan Jia, Qing Liao, Xuan Wang, Lei Wang, Jing Xiao
In this work, we propose a novel Syntax-guided Domain Adaptation Model, named SDAM, for more effective cross-domain ABSA.
Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +2
no code implementations • 31 Oct 2022 • Lukai Wang, Lei Wang
Finally, sentiment analysis results were obtained by analyzing the comments with the LSTM model.
no code implementations • 31 Oct 2022 • Weijieying Ren, Lei Wang, Kunpeng Liu, Ruocheng Guo, Lim Ee Peng, Yanjie Fu
We present a gradient perspective to understand two negative impacts of popularity bias in recommendation model optimization: (i) the gradient direction of popular item embeddings is closer to that of positive interactions, and (ii) the magnitude of positive gradient for popular items are much greater than that of unpopular items.
1 code implementation • 30 Oct 2022 • Lei Wang, Piotr Koniusz
Dynamic Time Warping (DTW) is used for matching pairs of sequences and celebrated in applications such as forecasting the evolution of time series, clustering time series or even matching sequence pairs in few-shot action recognition.
1 code implementation • 30 Oct 2022 • Shan Zhang, Naila Murray, Lei Wang, Piotr Koniusz
To address these drawbacks, we propose a Time-rEversed diffusioN tEnsor Transformer (TENET), which i) forms high-order tensor representations that capture multi-way feature occurrences that are highly discriminative, and ii) uses a transformer that dynamically extracts correlations between the query image and the entire support set, instead of a single average-pooled support embedding.
no code implementations • 30 Oct 2022 • Lei Wang, Piotr Koniusz
To factor out misalignment between query and support sequences of 3D body joints, we propose an advanced variant of Dynamic Time Warping which jointly models each smooth path between the query and support frames to achieve simultaneously the best alignment in the temporal and simulated camera viewpoint spaces for end-to-end learning under the limited few-shot training data.
1 code implementation • 27 Oct 2022 • Bowen Shen, Zheng Lin, Yuanxin Liu, Zhengxiao Liu, Lei Wang, Weiping Wang
Motivated by such considerations, we propose a collaborative optimization for PLMs that integrates static model compression and dynamic inference acceleration.
no code implementations • 25 Oct 2022 • Lei Wang, Xu Chen, Quanyu Dai, Zhenhua Dong
Recommender system has been deployed in a large amount of real-world applications, profoundly influencing people's daily life and production. Traditional recommender models mostly collect as comprehensive as possible user behaviors for accurate preference estimation.
1 code implementation • 23 Oct 2022 • Pengchao Hu, Man Lu, Lei Wang, Guoyue Jiang
Multi-level intermediate representations (MLIR) show great promise for reducing the cost of building domain-specific compilers by providing a reusable and extensible compiler infrastructure.
1 code implementation • 22 Oct 2022 • Chiyu Zhang, Xiaogang Xu, Lei Wang, Zaiyan Dai, Jun Yang
Transformer's recent integration into style transfer leverages its proficiency in establishing long-range dependencies, albeit at the expense of attenuated local modeling.
no code implementations • 7 Oct 2022 • Lei Wang, Rong Tong
This paper focuses on examining the phonetic effect of language transfer in automatic speech recognition.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1
no code implementations • 7 Oct 2022 • Lei Wang, Rong Tong, Cheung Chi Leung, Sunil Sivadas, Chongjia Ni, Bin Ma
This paper provides an overall introduction of our Automatic Speech Recognition (ASR) systems for Southeast Asian languages.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1
no code implementations • 7 Oct 2022 • Lei Wang, Benedict Yeoh, Jun Wah Ng
Synthetic voice and splicing audio clips have been generated to spoof Internet users and artificial intelligence (AI) technologies such as voice authentication.
1 code implementation • Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops 2022 • Jun Yu, Liwen Zhang, Shenshen Du, Hao Chang, Keda Lu, Zhong Zhang, Ye Yu, Lei Wang, Qiang Ling
To overcome these difficulties, this paper first select fewer but suitable data augmentation methods to improve the accuracy of the supervised model based on the labeled training set, which is suitable for the characteristics of hyperspectral images.
no code implementations • 27 Sep 2022 • Biqiang Mu, Tianshi Chen, He Kong, Bo Jiang, Lei Wang, Junfeng Wu
For the emerging regularized system identification, the study on input design has just started, and it is often formulated as a non-convex optimization problem that minimizes a scalar measure of the Bayesian mean squared error matrix subject to certain constraints, and the state-of-art method is the so-called quadratic mapping and inverse embedding (QMIE) method, where a time domain inverse embedding (TDIE) is proposed to find the inverse of the quadratic mapping.
1 code implementation • 18 Sep 2022 • Lei Wang, Bo Liu, Bincheng Wang, Fuqiang Yu
In this study, we propose a multi-granularity motion representation network (GaitMM) for gait sequence learning.
1 code implementation • 13 Sep 2022 • Hao Xie, Zi-Hang Li, Han Wang, Linfeng Zhang, Lei Wang
We developed a deep generative model-based variational free energy approach to the equations of state of dense hydrogen.
1 code implementation • 3 Sep 2022 • Lei Wang, Ee-Peng Lim, Zhiwei Liu, Tianxiang Zhao
Recently, contrastive learning has been applied to the sequential recommendation task to address data sparsity caused by users with few item interactions and items with few user adoptions.
1 code implementation • 3 Sep 2022 • Yunshi Lan, Lei Wang, Jing Jiang, Ee-Peng Lim
To improve the compositional generalization in MWP solving, we propose an iterative data augmentation method that includes diverse compositional variation into training data and could collaborate with MWP methods.
no code implementations • 29 Aug 2022 • Lei Wang, Xin Liu
Decentralized optimization with orthogonality constraints is found widely in scientific computing and data science.
no code implementations • 22 Aug 2022 • Zhanyu Wang, Mingkang Tang, Lei Wang, Xiu Li, Luping Zhou
Automated radiographic report generation is a challenging cross-domain task that aims to automatically generate accurate and semantic-coherence reports to describe medical images.
no code implementations • 18 Aug 2022 • Wenqiang Ruan, Mingxin Xu, Wenjing Fang, Li Wang, Lei Wang, Weili Han
Second, to reduce the accuracy loss led by differential privacy noise and the huge communication overhead of MPL, we propose two optimization methods for the training process of MPL: (1) the data-independent feature extraction method, which aims to simplify the trained model structure; (2) the local data-based global model initialization method, which aims to speed up the convergence of the model training.
no code implementations • 12 Aug 2022 • Yingting Liu, Chaochao Chen, Jamie Cui, Li Wang, Lei Wang
The second type is provable secure but is inefficient and even helpless for the large-scale data sparsity scenario.
no code implementations • 12 Aug 2022 • Zhongyan Zhang, Lei Wang, Yang Wang, Luping Zhou, Jianjia Zhang, Peng Wang, Fang Chen
Although achieving promising results, this approach is restricted by two issues: 1) the domain gap between benchmark datasets and the dataset of a given retrieval task; 2) the required auxiliary dataset cannot be readily obtained.
3 code implementations • 9 Aug 2022 • Yue Duan, Lei Qi, Lei Wang, Luping Zhou, Yinghuan Shi
In this work, we propose Reciprocal Distribution Alignment (RDA) to address semi-supervised learning (SSL), which is a hyperparameter-free framework that is independent of confidence threshold and works with both the matched (conventionally) and the mismatched class distributions.
no code implementations • 28 Jun 2022 • Lei Wang, Min Dai, Jianan He, Jingwei Huang, Mingwei Sun
Then, we convert vector shape prediction, regularization, and topology reconstruction into a unique primitive graph learning problem.
3 code implementations • AAAI Conference on Artificial Intelligence 2022 • Yitong Duan, Lei Wang, Qizhong Zhang, Jian Li
As an asset pricing model in economics and finance, factor model has been widely used in quantitative investment.
no code implementations • 27 Jun 2022 • Bowen Yi, Lei Wang, Ian R. Manchester
The paper addresses the problem of attitude estimation for rigid bodies using (possibly time-varying) vector measurements, for which we provide a necessary and sufficient condition of distinguishability.
no code implementations • 23 Jun 2022 • Chia-Hsuan Chang, Lei Wang, Christopher C. Yang
To analyze the health consumer-generated content (HCGC) from the OHCs, identifying the colloquial medical expressions used by laypeople is a critical challenge.
no code implementations • 13 Jun 2022 • Lei Wang, Linlin Ge, Shan Luo, Zihan Yan, Zhaopeng Cui, Jieqing Feng
Specifically, a novel structure is proposed, namely, {\textit{track-community}}, in which each community consists of a group of tracks and represents a local segment in the scene.
no code implementations • 31 May 2022 • Wenshuo Zhou, Dalu Yang, Binghong Wu, Yehui Yang, Junde Wu, Xiaorong Wang, Lei Wang, Haifeng Huang, Yanwu Xu
Deep learning based medical imaging classification models usually suffer from the domain shift problem, where the classification performance drops when training data and real-world data differ in imaging equipment manufacturer, image acquisition protocol, patient populations, etc.
no code implementations • 6 May 2022 • Jian Dang, Zaichen Zhang, Yewei Li, Liang Wu, Bingcheng Zhu, Lei Wang
Reconfigurable intelligent surface (RIS) can assist terahertz wireless communication to restore the fragile line-of-sight links and facilitate beam steering.
no code implementations • 2 May 2022 • Ghazal Mirabnahrazam, Da Ma, Cédric Beaulac, Sieun Lee, Karteek Popuri, Hyunwoo Lee, Jiguo Cao, James E Galvin, Lei Wang, Mirza Faisal Beg, the Alzheimer's Disease Neuroimaging Initiative
Combining MRI and genetic features improved survival prediction over using either modality alone, but adding CDC to any combination of features only worked as well as using only CDC features.
no code implementations • 2 Apr 2022 • Wenxiang Li, Yuanyuan Li, Ziyuan Pu, Long Cheng, Lei Wang, Linchuan Yang
Integrating the trip data with the COPERT model, this study calculates the CO2 emissions of shared rides (ridesplitting) and their substituted single rides (regular ridesourcing) to estimate the CO2 emission reduction of each ridesplitting trip.
3 code implementations • 27 Mar 2022 • Yue Duan, Zhen Zhao, Lei Qi, Lei Wang, Luping Zhou, Yinghuan Shi, Yang Gao
The core issue in semi-supervised learning (SSL) lies in how to effectively leverage unlabeled data, whereas most existing methods tend to put a great emphasis on the utilization of high-confidence samples yet seldom fully explore the usage of low-confidence samples.
no code implementations • 14 Mar 2022 • Yan Yan, Tianzheng Liao, Jinjin Zhao, Jiahong Wang, Liang Ma, Wei Lv, Jing Xiong, Lei Wang
Given this observation, we devised a graph-inspired deep learning approach toward the sensor-based HAR tasks, which was further used to build a deep transfer learning model toward giving a tentative solution for these two challenging problems.
no code implementations • 14 Mar 2022 • Yan Yan, Xuankun Wu, Chengdong Li, Yini He, Zhicheng Zhang, Huihui Li, Ang Li, Lei Wang
The proposed work is the first investigation in the emotion recognition oriented EEG topological feature analysis, which brought a novel insight into the brain neural system nonlinear dynamics analysis and feature extraction.
no code implementations • 11 Mar 2022 • Ghazal Mirabnahrazam, Da Ma, Sieun Lee, Karteek Popuri, Hyunwoo Lee, Jiguo Cao, Lei Wang, James E Galvin, Mirza Faisal Beg, the Alzheimer's Disease Neuroimaging Initiative
Using a pre-defined 0. 5 threshold on DAT scores, we predicted whether or not a subject would develop DAT in the future.
no code implementations • 10 Mar 2022 • Ran Chen, Hanli Wang, Lei Wang, Sam Kwong
Second, previous approaches only consider learning single-stream similarity alignment (i. e., image-to-text level or text-to-image level), which is inadequate to fully use similarity information for image-text matching.
no code implementations • 16 Feb 2022 • Feng Xia, Lei Wang, Tao Tang, Xin Chen, Xiangjie Kong, Giles Oatley, Irwin King
In each non-output layer of the GCN, this framework uses a hub attention mechanism to assign new weights to connected non-hub vertices based on their common information with hub vertices.
no code implementations • 14 Feb 2022 • Zhaoyang Qu, Xiaoyong Bo, Tong Yu, Yaowei Liu, Yunchang Dong, Zhongfeng Kan, Lei Wang, Yang Li
Taking account of the fact that the existing knowledge-driven detection process for FDIAs has been in a passive detection state for a long time and ignores the advantages of data-driven active capture of features, an active and passive hybrid detection method for power CPS FDIAs with improved adaptive Kalman filter (AKF) and convolutional neural networks (CNN) is proposed in this paper.
no code implementations • 10 Feb 2022 • Yingzhanghao Zhou, Xiang Chen, Peng Zhang, Jun Wang, Lei Wang, Hong Guo
Since proposed in the 70s, the Non-Equilibrium Green Function (NEGF) method has been recognized as a standard approach to quantum transport simulations.
no code implementations • 5 Feb 2022 • Xiaohe Li, Lijie Wen, Yawen Deng, Fuli Feng, Xuming Hu, Lei Wang, Zide Fan
Graph Neural Network (GNN) is an emerging technique for graph-based learning tasks such as node classification.
no code implementations • 3 Feb 2022 • Xihan Li, Xiang Chen, Rasul Tutunov, Haitham Bou-Ammar, Lei Wang, Jun Wang
The Schr\"odinger equation is at the heart of modern quantum mechanics.
no code implementations • 24 Jan 2022 • Lei Qi, Lei Wang, Yinghuan Shi, Xin Geng
Different from the conventional data augmentation, the proposed domain-aware mix-normalization to enhance the diversity of features during training from the normalization view of the neural network, which can effectively alleviate the model overfitting to the source domains, so as to boost the generalization capability of the model in the unseen domain.
no code implementations • 15 Jan 2022 • Romeo Ortega, Rafael Cisneros, Lei Wang, Arjan van der Schaft
In this note we address the problem of indirect adaptive (regulation or tracking) control of nonlinear, input affine dissipative systems.
1 code implementation • 10 Jan 2022 • Hao Xie, Linfeng Zhang, Lei Wang
The quasiparticle effective mass $m^\ast$ of interacting electrons is a fundamental quantity in the Fermi liquid theory.
3 code implementations • CVPR 2022 • Yingying Deng, Fan Tang, WeiMing Dong, Chongyang Ma, Xingjia Pan, Lei Wang, Changsheng Xu
The goal of image style transfer is to render an image with artistic features guided by a style reference while maintaining the original content.
no code implementations • CVPR 2022 • Zhen Zhao, Luping Zhou, Yue Duan, Lei Wang, Lei Qi, Yinghuan Shi
Consistency-based Semi-supervised learning (SSL) has achieved promising performance recently.
no code implementations • CVPR 2022 • Shan Zhang, Lei Wang, Naila Murray, Piotr Koniusz
We design a Kernelized Few-shot Object Detector by leveraging kernelized matrices computed over multiple proposal regions, which yield expressive non-linear representations whose model complexity is learned on the fly.
no code implementations • 30 Dec 2021 • Lei Wang, Xin Liu
In this paper, we focus on the decentralized optimization problem over the Stiefel manifold, which is defined on a connected network of $d$ agents.
no code implementations • 23 Dec 2021 • Lei Wang, Jun Liu, Piotr Koniusz
In this paper, we propose a Few-shot Learning pipeline for 3D skeleton-based action recognition by Joint tEmporal and cAmera viewpoiNt alIgnmEnt (JEANIE).
no code implementations • 23 Dec 2021 • Xiaotong Ni, Hui-Hai Zhao, Lei Wang, Feng Wu, Jianxin Chen
In a quantum processor, the device design and external controls together contribute to the quality of the target quantum operations.
no code implementations • 23 Dec 2021 • Songtao Peng, Jiaqi Nie, Xincheng Shu, Zhongyuan Ruan, Lei Wang, Yunxuan Sheng, Qi Xuan
As the default protocol for exchanging routing reachability information on the Internet, the abnormal behavior in traffic of Border Gateway Protocols (BGP) is closely related to Internet anomaly events.
1 code implementation • 16 Dec 2021 • Lei Wang
Human action recognition still exists many challenging problems such as different viewpoints, occlusion, lighting conditions, human body size and the speed of action execution, although it has been widely used in different areas.
1 code implementation • 30 Nov 2021 • Lei Qi, Jiaqi Liu, Lei Wang, Yinghuan Shi, Xin Geng
A significance of our work lies in that it shows the potential of unsupervised domain generalization for person ReID and sets a strong baseline for the further research on this topic.
no code implementations • 23 Nov 2021 • Pengfei Zhu, Hongtao Yu, Kaihua Zhang, Yu Wang, Shuai Zhao, Lei Wang, Tianzhu Zhang, QinGhua Hu
To address this issue, segmentation-based trackers have been proposed that employ per-pixel matching to improve the tracking performance of deformable objects effectively.
no code implementations • 15 Nov 2021 • Rong Fu, Tianyao Huang, Lei Wang, Yimin Liu
As a typical signal processing problem, multidimensional harmonic retrieval (MHR) has been adapted to a wide range of applications in signal processing.
no code implementations • 28 Oct 2021 • Olatunji Mumini Omisore, Toluwanimi Akinyemi, Wenke Duan, Wenjing Du, Lei Wang
Robotic catheterization is typically used for percutaneous coronary intervention procedures nowadays and it involves steering flexible endovascular tools to open up occlusion in the coronaries.
no code implementations • 20 Oct 2021 • Ran Cheng, Chao Chen, Longfei Xu, Shen Li, Lei Wang, Hengbin Cui, Kaikui Liu, Xiaolong Li
For user representation, we utilize a series of historical navigation to extract user preference.
no code implementations • 18 Oct 2021 • Langzhang Liang, Cuiyun Gao, Shiyi Chen, Shishi Duan, Yu Pan, Junjin Zheng, Lei Wang, Zenglin Xu
Graph Convolutional Networks (GCNs) are powerful for processing graph-structured data and have achieved state-of-the-art performance in several tasks such as node classification, link prediction, and graph classification.
no code implementations • 11 Oct 2021 • Lei Wang, Ke Sun, Piotr Koniusz
We aim at capturing high-order statistics of feature vectors formed by a neural network, and propose end-to-end second- and higher-order pooling to form a tensor descriptor.
Ranked #2 on Scene Recognition on YUP++ (using extra training data)
no code implementations • 29 Sep 2021 • Deming Yuan, Lei Wang, Alexandre Proutiere, Guodong Shi
Zeroth-order optimization has become increasingly important in complex optimization and machine learning when cost functions are impossible to be described in closed analytical forms.
no code implementations • 29 Sep 2021 • Lei Wang, Deming Yuan, Guodong Shi
In this paper, we study dataset processing mechanisms generated by linear queries in the presence of manifold data dependency.
no code implementations • 29 Sep 2021 • Kemi Ding, Yijun Chen, Lei Wang, Xiaoqiang Ren, Guodong Shi
Next, in view of the inherent stability and sparsity constraints for the network interaction structure, we propose a stable and sparse system identification framework for learning the interaction graph from full player action observations.
no code implementations • 29 Sep 2021 • Chunjie Luo, Jianfeng Zhan, Lei Wang, Wanling Gao
Specifically, it calculates the mean like Batch Normalization to maintain the advantage of Batch Normalization.
no code implementations • 28 Sep 2021 • Lei Wang, Shihui Zhang, Huan He, Xiaoxiao Zhang, Yu Sang
Last but not least, the compact triplet-center loss is proposed specifically for the sketch recognition task.
1 code implementation • Findings (EMNLP) 2021 • Qiyuan Zhang, Lei Wang, Sicheng Yu, Shuohang Wang, Yang Wang, Jing Jiang, Ee-Peng Lim
While diverse question answering (QA) datasets have been proposed and contributed significantly to the development of deep learning models for QA tasks, the existing datasets fall short in two aspects.
1 code implementation • 15 Sep 2021 • Binghong Wu, Yehui Yang, Dalu Yang, Junde Wu, Xiaorong Wang, Haifeng Huang, Lei Wang, Yanwu Xu
Based on focal loss with ATSS-R50, our approach achieves 40. 5 AP, surpassing the state-of-the-art QFL (Quality Focal Loss, 39. 9 AP) and VFL (Varifocal Loss, 40. 1 AP).
1 code implementation • 10 Sep 2021 • Wenbin Li, Ziyi, Wang, Xuesong Yang, Chuanqi Dong, Pinzhuo Tian, Tiexin Qin, Jing Huo, Yinghuan Shi, Lei Wang, Yang Gao, Jiebo Luo
Furthermore, based on LibFewShot, we provide comprehensive evaluations on multiple benchmarks with various backbone architectures to evaluate common pitfalls and effects of different training tricks.
1 code implementation • 2 Sep 2021 • Yihuai Lan, Lei Wang, Qiyuan Zhang, Yunshi Lan, Bing Tian Dai, Yan Wang, Dongxiang Zhang, Ee-Peng Lim
Over the last few years, there are a growing number of datasets and deep learning-based methods proposed for effectively solving MWPs.
Ranked #8 on Math Word Problem Solving on Math23K
no code implementations • 21 Aug 2021 • Lei Wang, Romeo Ortega, Alexei Bobtsov
In this paper we are interested in the problem of state observation of state-affine nonlinear systems.
no code implementations • 19 Aug 2021 • Lei Wang, Romeo Ortega, Alexey Bobtsov, Jose Guadalupe Romero, Bowen Yi
The estimators are shown to be robust to additive measurement noise and--not necessarily slow--parameter variations.
1 code implementation • 12 Aug 2021 • Ziwei Yang, Ruyi Zhang, Zhi Yang, Xubo Yang, Lei Wang, Zheyang Li
One-shot neural architecture search (NAS) applies weight-sharing supernet to reduce the unaffordable computation overhead of automated architecture designing.
1 code implementation • 12 Aug 2021 • Ruyi Zhang, Ziwei Yang, Zhi Yang, Xubo Yang, Lei Wang, Zheyang Li
To alleviate this problem, we propose a novel framework to train an accuracy predictor under few training samples.
no code implementations • 6 Aug 2021 • Shengqi Huang, Wanqi Yang, Lei Wang, Luping Zhou, Ming Yang
Inspired by the recent local descriptor based few-shot learning (FSL), our general UDA model is fully built upon local descriptors (LDs) for image classification and domain adaptation.
1 code implementation • Findings (NAACL) 2022 • Zhenwen Liang, Jipeng Zhang, Lei Wang, Wei Qin, Yunshi Lan, Jie Shao, Xiangliang Zhang
Math word problem (MWP) solving faces a dilemma in number representation learning.
Ranked #5 on Math Word Problem Solving on MathQA
no code implementations • 26 Jul 2021 • Liang Zeng, Lei Wang, Hui Niu, Ruchen Zhang, Ling Wang, Jian Li
In a set of experiments on three real-world financial markets: stocks, cryptocurrencies, and ETFs, LARA significantly outperforms several machine learning based methods on the Qlib quantitative investment platform.
1 code implementation • ICCV 2021 • Xiong Zhang, Hongsheng Huang, Jianchao Tan, Hongmin Xu, Cheng Yang, Guozhu Peng, Lei Wang, Ji Liu
To further improve the performance of these tasks, we propose a novel Hand Image Understanding (HIU) framework to extract comprehensive information of the hand object from a single RGB image, by jointly considering the relationships between these tasks.
1 code implementation • 24 Jul 2021 • Qian Yu, Lei Qi, Luping Zhou, Lei Wang, Yilong Yin, Yinghuan Shi, Wuzhang Wang, Yang Gao
Together, the above two schemes give rise to a novel double-branch encoder segmentation framework for medical image segmentation, namely Crosslink-Net.
1 code implementation • 22 Jul 2021 • Wenbin Li, Xuesong Yang, Meihao Kong, Lei Wang, Jing Huo, Yang Gao, Jiebo Luo
However, in small data regimes, we can not obtain a sufficient number of negative pairs or effectively avoid the over-fitting problem when negatives are not used at all.
no code implementations • CVPR 2021 • Zhanyu Wang, Luping Zhou, Lei Wang, Xiu Li
On one hand, the image-text matching branch helps to learn highly text-correlated visual features for the report generation branch to output high quality reports.
no code implementations • 31 May 2021 • Liang Chen, Xiangchen Lu, Nan Shen, Lei Wang, Yuan Zhuang, Ye Su, Deren Li, Ruizhi Chen
The performance of those integration algorithms on expanding the successful acquisition time range is verified by the real data collected from the Luojia-1A satellite.
4 code implementations • 30 May 2021 • Yingying Deng, Fan Tang, WeiMing Dong, Chongyang Ma, Xingjia Pan, Lei Wang, Changsheng Xu
The goal of image style transfer is to render an image with artistic features guided by a style reference while maintaining the original content.
no code implementations • 30 May 2021 • Xiongshi Deng, Min Li, Shaobo Deng, Lei Wang
In the second stage, XGBoost-MOGA searches for an optimal gene subset based on the most relevant genes's group using a multi-objective optimization genetic algorithm.
no code implementations • 30 May 2021 • Xiongshi Deng, Min Li, Lei Wang, Qikang Wan
Feature selection is a preprocessing step which plays a crucial role in the domain of machine learning and data mining.
no code implementations • 29 May 2021 • Fan Hu, Lei Wang, Yishen Hu, Dongqi Wang, Weijie Wang, Jianbing Jiang, Nan Li, Peng Yin
The identification of protein-ligand interaction plays a key role in biochemical research and drug discovery.
1 code implementation • 19 May 2021 • Minghuan Tan, Lei Wang, Lingxiao Jiang, Jing Jiang
In this paper, we revisit math word problems~(MWPs) from the cross-lingual and multilingual perspective.
1 code implementation • 18 May 2021 • Hao Xie, Linfeng Zhang, Lei Wang
The variational density matrix is parametrized by a permutation equivariant many-body unitary transformation together with a discrete probabilistic model.
1 code implementation • 4 May 2021 • Zhenyue Qin, Yang Liu, Pan Ji, Dongwoo Kim, Lei Wang, Bob McKay, Saeed Anwar, Tom Gedeon
Recent skeleton-based action recognition methods extract features from 3D joint coordinates as spatial-temporal cues, using these representations in a graph neural network for feature fusion to boost recognition performance.
Ranked #20 on Skeleton Based Action Recognition on NTU RGB+D 120
no code implementations • CVPR 2021 • Peng Wang, Kai Han, Xiu-Shen Wei, Lei Zhang, Lei Wang
Learning discriminative image representations plays a vital role in long-tailed image classification because it can ease the classifier learning in imbalanced cases.
Ranked #10 on Long-tail Learning on CIFAR-10-LT (ρ=10)
1 code implementation • 24 Mar 2021 • Chunjie Luo, Jianfeng Zhan, Tianshu Hao, Lei Wang, Wanling Gao
The attention branch is gated using the Sigmoid function and multiplied by the feature map's trunk branch.
no code implementations • 14 Mar 2021 • Zhiqiang Hu, Roy Ka-Wei Lee, Lei Wang, Ee-Peng Lim, Bo Dai
Authorship attribution (AA), which is the task of finding the owner of a given text, is an important and widely studied research topic with many applications.
1 code implementation • 9 Mar 2021 • Chaohao Xie, Dongwei Ren, Lei Wang, WangMeng Zuo
For learning pseudo mask generator from the auxiliary dataset, we present a bi-level optimization formulation.
no code implementations • 7 Mar 2021 • Ke Sun, Lei Wang, Bo Xu, Wenhong Zhao, Shyh Wei Teng, Feng Xia
Network representation learning (NRL) is an effective graph analytics technique and promotes users to deeply understand the hidden characteristics of graph data.