no code implementations • Findings (EMNLP) 2021 • Zhi Li, Yuchen Zhai, Chengyu Wang, Minghui Qiu, Kailiang Li, Yin Zhang
Inspired by the fact that words with similar semantic can share a part of weights, we divide the embeddings of words into two parts: unique embedding and class embedding.
no code implementations • 14 Apr 2025 • Guanyuan Pan, Tiansheng Zhou, Bingtao Ma, Yaqi Wang, Jianxiang Zhao, Zhi Li, Yugui Lin, Pietro Lio, Shuai Wang
First, we introduce the SEAL (Subgraphs, Embeddings, and Attributes for Link Prediction) framework and achieve port-level accuracy in circuit link prediction.
1 code implementation • 21 Feb 2025 • Kefan Wang, Hao Wang, Kenan Song, Wei Guo, Kai Cheng, Zhi Li, Yong liu, Defu Lian, Enhong Chen
Then, we integrate a contrastive learning mechanism to ensure a uniform distribution of quantized codes, enhancing the distinctiveness of embeddings.
1 code implementation • 17 Feb 2025 • Zhengxiang Wang, Veronika Makarova, Zhi Li, Jordan Kodner, Owen Rambow
The paper explores the performance of LLMs in the context of multi-dimensional analytic writing assessments, i. e. their ability to provide both scores and comments based on multiple assessment criteria.
1 code implementation • 20 Dec 2024 • Jun Ma, Feifei Li, Sumin Kim, Reza Asakereh, Bao-Hiep Le, Dang-Khoa Nguyen-Vu, Alexander Pfefferle, Muxin Wei, Ruochen Gao, Donghang Lyu, Songxiao Yang, Lennart Purucker, Zdravko Marinov, Marius Staring, Haisheng Lu, Thuy Thanh Dao, Xincheng Ye, Zhi Li, Gianluca Brugnara, Philipp Vollmuth, Martha Foltyn-Dumitru, Jaeyoung Cho, Mustafa Ahmed Mahmutoglu, Martin Bendszus, Irada Pflüger, Aditya Rastogi, Dong Ni, Xin Yang, Guang-Quan Zhou, Kaini Wang, Nicholas Heller, Nikolaos Papanikolopoulos, Christopher Weight, Yubing Tong, Jayaram K Udupa, Cahill J. Patrick, Yaqi Wang, Yifan Zhang, Francisco Contijoch, Elliot McVeigh, Xin Ye, Shucheng He, Robert Haase, Thomas Pinetz, Alexander Radbruch, Inga Krause, Erich Kobler, Jian He, Yucheng Tang, Haichun Yang, Yuankai Huo, Gongning Luo, Kaisar Kushibar, Jandos Amankulov, Dias Toleshbayev, Amangeldi Mukhamejan, Jan Egger, Antonio Pepe, Christina Gsaxner, Gijs Luijten, Shohei Fujita, Tomohiro Kikuchi, Benedikt Wiestler, Jan S. Kirschke, Ezequiel de la Rosa, Federico Bolelli, Luca Lumetti, Costantino Grana, Kunpeng Xie, Guomin Wu, Behrus Puladi, Carlos Martín-Isla, Karim Lekadir, Victor M. Campello, Wei Shao, Wayne Brisbane, Hongxu Jiang, Hao Wei, Wu Yuan, Shuangle Li, Yuyin Zhou, Bo wang
Promptable segmentation foundation models have emerged as a transformative approach to addressing the diverse needs in medical images, but most existing models require expensive computing, posing a big barrier to their adoption in clinical practice.
no code implementations • 15 Dec 2024 • Xutao Liao, Shaohui Li, Yuhui Xu, Zhi Li, Yu Liu, You He
To further enhance performance, we propose sparsely coded residuals to reduce the errors caused by low-rank approximation on the first- and second-order moments of the optimizers and weight updates.
1 code implementation • 6 Dec 2024 • Qian Long, Zhi Li, Ran Gong, Ying Nian Wu, Demetri Terzopoulos, Xiaofeng Gao
Collaboration is a cornerstone of society.
no code implementations • 5 Dec 2024 • Qingyang Mao, Qi Liu, Zhi Li, Mingyue Cheng, Zheng Zhang, Rui Li
In recent years, table reasoning has garnered substantial research interest, particularly its integration with Large Language Models (LLMs) which revolutionize natural language applications.
1 code implementation • 29 Nov 2024 • Zhi Li, Kai Zhao, Yaqi Wang, Shuai Wang
To mitigate memory bottlenecks and optimize prompt frame selection during the inference of 2D image sequences, we developed an automated system, the Adaptive Frame Selection Engine (AFSE).
no code implementations • 15 Nov 2024 • Xingxi Yin, Zhi Li, Jingfeng Zhang, Chenglin Li, Yin Zhang
Text-to-image (T2I) diffusion models, with their impressive generative capabilities, have been adopted for image editing tasks, demonstrating remarkable efficacy.
no code implementations • 14 Nov 2024 • Chenglin Li, Qianglong Chen, Zhi Li, Feng Tao, Yin Zhang
Recent advancements in Large Video-Language Models (LVLMs) have driven the development of benchmarks designed to assess cognitive abilities in video-based tasks.
no code implementations • 8 Nov 2024 • Yingying Fang, Zihao Jin, Shaojie Guo, Jinda Liu, Zhiling Yue, Yijian Gao, Junzhi Ning, Zhi Li, Simon Walsh, Guang Yang
Despite significant advancements in automated report generation, the opaqueness of text interpretability continues to cast doubt on the reliability of the content produced.
no code implementations • 30 Oct 2024 • Zhiding Liu, Jiqian Yang, Qingyang Mao, Yuze Zhao, Mingyue Cheng, Zhi Li, Qi Liu, Enhong Chen
To this end, we propose DisenTS, a tailored framework for modeling disentangled channel evolving patterns in general multivariate time series forecasting.
no code implementations • 14 Oct 2024 • Chenglin Li, Qianglong Chen, Zhi Li, Feng Tao, Yicheng Li, Hao Chen, Fei Yu, Yin Zhang
With tree search and evaluation models, it can efficiently guide each instruction to evolve into a high-quality form, aiding in instruction fine-tuning.
no code implementations • 4 Sep 2024 • Yang Liu, Xichou Zhu, Zhou Shen, Yi Liu, Min Li, Yujun Chen, Benzi John, Zhenzhen Ma, Tao Hu, Zhi Li, Zhiyang Xu, Wei Luo, Junhui Wang
Large Language Models (LLMs) have recently displayed their extraordinary capabilities in language understanding.
no code implementations • 4 Sep 2024 • Xichou Zhu, Yang Liu, Zhou Shen, Yi Liu, Min Li, Yujun Chen, Benzi John, Zhenzhen Ma, Tao Hu, Zhi Li, Bolong Yang, Manman Wang, Zongxing Xie, Peng Liu, Dan Cai, Junhui Wang
However, their application to privacy compliance and technical privacy reviews remains under-explored, raising critical concerns about their ability to adhere to global privacy standards and protect sensitive user data.
no code implementations • 23 Aug 2024 • Yonghui Nie, Zhi Li, Jie Zhang, Lei Gao, Yang Li, Hengyu Zhou
To coordinate resources among multi-level stakeholders and enhance the integration of electric vehicles (EVs) into multi-microgrids, this study proposes an optimal dispatch strategy within a multi-microgrid cooperative alliance using a nuanced two-stage pricing mechanism.
no code implementations • 8 Aug 2024 • Yin Gu, Qi Liu, Zhi Li, Kai Zhang
Zero-shot coordination (ZSC) remains a major challenge in the cooperative AI field, which aims to learn an agent to cooperate with an unseen partner in training environments or even novel environments.
no code implementations • 6 Aug 2024 • Tiezheng Guo, Chen Wang, Yanyi Liu, Jiawei Tang, Pan Li, Sai Xu, Qingwen Yang, Xianlin Gao, Zhi Li, Yingyou Wen
This retrieval process refines the context and reasoning chain, aiding the large language model in reasoning and answer generation.
no code implementations • 31 Jul 2024 • Taiji Li, Zhi Li, Yin Zhang
Specifically, SliSum divides the source article into overlapping windows, and utilizes LLM to generate local summaries for the content in the windows.
no code implementations • 2 Jul 2024 • Zhiyu Long, Xingyou Liu, Jiaqi Qiao, Zhi Li
Moreover, by incorporating facial expression information, the accuracy and robustness of sign language recognition are finally improved, which was verified on A Dataset for Argentinian Sign Language and SEU's Chinese Sign Language Recognition Database (SEUCSLRD).
no code implementations • 19 Jun 2024 • Chengyao Tang, Yongpeng Dai, Zhi Li, Tian Jin
This paper presents two new, simple yet effective approaches to measure the vibration of a swaying millimeter-wave radar (mmRadar) utilizing geometrical information.
no code implementations • 21 May 2024 • Mingjia Yin, Hao Wang, Wei Guo, Yong liu, Zhi Li, Sirui Zhao, Zhen Wang, Defu Lian, Enhong Chen
Cross-domain sequential recommendation (CDSR) aims to uncover and transfer users' sequential preferences across multiple recommendation domains.
no code implementations • 20 Apr 2024 • Chengyao Tang, Yongpeng Dai, Zhi Li, Yongping Song, Fulai Liang, Tian Jin
Recent years have witnessed the great advance of bioradar system in smart sensing of vital signs (VS) for human healthcare monitoring.
no code implementations • 10 Apr 2024 • Qi Deng, Zheng Fan, Zhi Li, Xinna Pan, Qi Kang, Mengchu Zhou
The application of evolutionary algorithms (EAs) to multi-objective optimization problems has been widespread.
no code implementations • 26 Mar 2024 • Yongqiang Han, Hao Wang, Kefan Wang, Likang Wu, Zhi Li, Wei Guo, Yong liu, Defu Lian, Enhong Chen
In recommendation systems, users frequently engage in multiple types of behaviors, such as clicking, adding to a cart, and purchasing.
1 code implementation • 13 Mar 2024 • Mingyue Cheng, Hao Zhang, Jiqian Yang, Qi Liu, Li Li, Xin Huang, Liwei Song, Zhi Li, Zhenya Huang, Enhong Chen
Through this gateway, users have the opportunity to submit their questions, testing the models on a personalized and potentially broader range of capabilities.
1 code implementation • 12 Mar 2024 • Mingyue Cheng, Hao Zhang, Qi Liu, Fajie Yuan, Zhi Li, Zhenya Huang, Enhong Chen, Jun Zhou, Longfei Li
It is also significant to model the \textit{semantic relatedness} reflected in content features, e. g., images and text.
3 code implementations • 3 Mar 2024 • Mingyue Cheng, Jiqian Yang, Tingyue Pan, Qi Liu, Zhi Li
Designing effective models for learning time series representations is foundational for time series analysis.
Ranked #9 on
Time Series Forecasting
on ETTh1 (336) Multivariate
2 code implementations • 26 Feb 2024 • Zhiding Liu, Jiqian Yang, Mingyue Cheng, Yucong Luo, Zhi Li
Secondly, the one-step generation schema is widely followed, which necessitates a customized forecasting head and overlooks the temporal dependencies in the output series, and also leads to increased training costs under different horizon length settings.
Ranked #29 on
Time Series Forecasting
on ETTh1 (336) Multivariate
no code implementations • CVPR 2024 • Shixin Hong, Yu Liu, Zhi Li, Shaohui Li, You He
Collaborative perception allows for information sharing between multiple agents such as vehicles and infrastructure to obtain a comprehensive view of the environment through communication and fusion.
no code implementations • 30 Oct 2023 • Tingting Wu, Zhiyan Du, Zhi Li, Feng-Lei Fan, Tieyong Zeng
However, we empirically find that VDIP struggles with processing image details and tends to generate suboptimal results when the blur kernel is large.
no code implementations • 24 Oct 2023 • Chengzhi Yao, Zhi Li, JunBo Wang
To tackle the above issues, we focus on the essence of traffic system and propose STHODE: Spatio-Temporal Hypergraph Neural Ordinary Differential Equation Network, which combines road network topology and traffic dynamics to capture high-order spatio-temporal dependencies in traffic data.
1 code implementation • 20 Aug 2023 • Jinghao Xin, Zhi Li, Yang Zhang, Ning li
Particle Swarm Optimization (PSO) has demonstrated efficacy in addressing static path planning problems.
1 code implementation • 14 Aug 2023 • Fulin Gao, Weimin Zhong, Zhixing Cao, Xin Peng, Zhi Li
To bridge this gap, we propose OpenGCD that combines three key ideas to solve the above problems sequentially: (a) We score the origin of instances (unknown or specifically known) based on the uncertainty of the classifier's prediction; (b) For the first time, we introduce generalized category discovery (GCD) techniques in OWR to assist humans in grouping unlabeled data; (c) For the smooth execution of IL and GCD, we retain an equal number of informative exemplars for each class with diversity as the goal.
no code implementations • 29 Jul 2023 • Alexander Y. Sun, Zhi Li, Wonhyun Lee, QiXing Huang, Bridget R. Scanlon, Clint Dawson
Flood inundation forecast provides critical information for emergency planning before and during flood events.
1 code implementation • 14 Jul 2023 • Qi Liu, Zheng Gong, Zhenya Huang, Chuanren Liu, HengShu Zhu, Zhi Li, Enhong Chen, Hui Xiong
Machine learning algorithms have become ubiquitous in a number of applications (e. g. image classification).
no code implementations • 6 Jul 2023 • Dengfeng Wang, Liukai Xu, Songyuan Liu, Zhi Li, Yiming Chen, Weifeng He, Xueqing Li, Yanan sun
Accommodating all the weights on-chip for large-scale NNs remains a great challenge for SRAM based computing-in-memory (SRAM-CIM) with limited on-chip capacity.
no code implementations • 14 Jun 2023 • Likang Wu, Zhi Li, Hongke Zhao, Zhefeng Wang, Qi Liu, Baoxing Huai, Nicholas Jing Yuan, Enhong Chen
Zero-Shot Learning (ZSL), which aims at automatically recognizing unseen objects, is a promising learning paradigm to understand new real-world knowledge for machines continuously.
1 code implementation • 7 May 2023 • Jinghao Xin, Jinwoo Kim, Zhi Li, Ning li
Meanwhile, the Sparrow simulator utilizes a 2D grid-based world, simplified kinematics, and conversion-free data flow to achieve a lightweight design.
Ranked #1 on
Atari Games
on Atari 2600 Pong
no code implementations • 24 Mar 2023 • Hansheng Guo, Juncheng Li, Guangwei Gao, Zhi Li, Tieyong Zeng
Stereo image super-resolution aims to boost the performance of image super-resolution by exploiting the supplementary information provided by binocular systems.
no code implementations • 16 Mar 2023 • Min Hua, Cetengfei Zhang, Fanggang Zhang, Zhi Li, Xiaoli Yu, Hongming Xu, Quan Zhou
The recently emerging multi-mode plug-in hybrid electric vehicle (PHEV) technology is one of the pathways making contributions to decarbonization, and its energy management requires multiple-input and multipleoutput (MIMO) control.
no code implementations • ICCV 2023 • Rizhao Cai, Yawen Cui, Zhi Li, Zitong Yu, Haoliang Li, Yongjian Hu, Alex Kot
To alleviate the forgetting of previous domains without using previous data, we propose the Proxy Prototype Contrastive Regularization (PPCR) to constrain the continual learning with previous domain knowledge from the proxy prototypes.
no code implementations • 1 Mar 2023 • Yongqiang Han, Likang Wu, Hao Wang, Guifeng Wang, Mengdi Zhang, Zhi Li, Defu Lian, Enhong Chen
Sequential Recommendation is a widely studied paradigm for learning users' dynamic interests from historical interactions for predicting the next potential item.
no code implementations • 27 Feb 2023 • Zhi Li, Hang Fan, Shuyan Dong
"Green Premiums" which means the difference in cost between emissions-emitting technology and zero-emissions or emissions-reducing technology is significant for those renewable energy technology to address the climate change challenge facing the world in this century.
3 code implementations • 20 Feb 2023 • Mingyue Cheng, Qi Liu, Zhiding Liu, Zhi Li, Yucong Luo, Enhong Chen
Deep learning-based algorithms, e. g., convolutional networks, have significantly facilitated multivariate time series classification (MTSC) task.
no code implementations • 10 Feb 2023 • Wenqiang He, Mingyue Cheng, Qi Liu, Zhi Li
Physiological signals are high-dimensional time series of great practical values in medical and healthcare applications.
1 code implementation • ICCV 2023 • Zhi Li, Pengfei Wei, Xiang Yin, Zejun Ma, Alex C. Kot
In our method, human pose and garment keypoints are extracted from source images and constructed as graphs to predict the garment keypoints at the target pose.
no code implementations • 9 Nov 2022 • Junzhe Jiang, Mingyue Cheng, Qi Liu, Zhi Li, Enhong Chen
Recognizing useful named entities plays a vital role in medical information processing, which helps drive the development of medical area research.
Medical Named Entity Recognition
named-entity-recognition
+3
1 code implementation • 7 Nov 2022 • Zhi Li, Daichi Amagata, Yihong Zhang, Takahiro Hara, Shuichiro Haruta, Kei Yonekawa, Mori Kurokawa
To address this data sparsity problem, cross-domain recommender systems (CDRSs) exploit the data from an auxiliary source domain to facilitate the recommendation on the sparse target domain.
1 code implementation • 5 Nov 2022 • Zhiding Liu, Mingyue Cheng, Zhi Li, Qi Liu, Enhong Chen
The core idea of CANet is to route the input user behaviors with a light-weighted router module.
no code implementations • 6 Sep 2022 • Min Hua, Zhi Li, Quan Zhou
The study suggested that the MADRL with an independence ratio of 0. 2 is the best, and more than 2. 4% of energy can be saved over the conventional DRL framework.
1 code implementation • 17 Aug 2022 • Zhi Li, Soshi Shimada, Bernt Schiele, Christian Theobalt, Vladislav Golyanik
3D human motion capture from monocular RGB images respecting interactions of a subject with complex and possibly deformable environments is a very challenging, ill-posed and under-explored problem.
1 code implementation • KDD 2022 • Liyi Chen, Zhi Li, Tong Xu, Han Wu, Zhefeng Wang, Nicholas Jing Yuan, Enhong Chen
To deal with that problem, in this paper, we propose a novel Multi-modal Siamese Network for Entity Alignment (MSNEA) to align entities in different MMKGs, in which multi-modal knowledge could be comprehensively leveraged by the exploitation of inter-modal effect.
Ranked #7 on
Multi-modal Entity Alignment
on UMVM-oea-d-w-v1
(using extra training data)
no code implementations • 10 Aug 2022 • Zitong Yu, Rizhao Cai, Zhi Li, Wenhan Yang, Jingang Shi, Alex C. Kot
In this paper, we establish the first joint face spoofing and forgery detection benchmark using both visual appearance and physiological rPPG cues.
1 code implementation • 24 Jul 2022 • Zhi Li, Lu He, Huijuan Xu
Action understanding has evolved into the era of fine granularity, as most human behaviors in real life have only minor differences.
Ranked #1 on
Weakly Supervised Action Localization
on FineAction
no code implementations • 11 May 2022 • Soshi Shimada, Vladislav Golyanik, Zhi Li, Patrick Pérez, Weipeng Xu, Christian Theobalt
Marker-less monocular 3D human motion capture (MoCap) with scene interactions is a challenging research topic relevant for extended reality, robotics and virtual avatar generation.
2 code implementations • 8 May 2022 • Zhi Li, Rizhao Cai, Haoliang Li, Kwok-Yan Lam, Yongjian Hu, Alex C. Kot
Under this framework, a teacher network is trained with source domain samples to provide discriminative feature representations for face PAD.
no code implementations • 26 Apr 2022 • Li-Heng Chen, Christos G. Bampis, Zhi Li, Lukáš Krasula, Alan C. Bovik
By conducting extensive experimental tests on existing deep image compression models, we show results that our new resizing parameter estimation framework can provide Bj{\o}ntegaard-Delta rate (BD-rate) improvement of about 10% against leading perceptual quality engines.
no code implementations • 18 Apr 2022 • Likang Wu, Hao Wang, Enhong Chen, Zhi Li, Hongke Zhao, Jianhui Ma
To that end, we propose a novel framework to promote cascade size prediction by enhancing the user preference modeling according to three stages, i. e., preference topics generation, preference shift modeling, and social influence activation.
no code implementations • 24 Mar 2022 • Kun Xiao, Pengju Li, Guohui Wang, Zhi Li, Yi Chen, Yongfeng Xie, Yuqiang Fang
Event camera is a new type of sensor that is different from traditional cameras.
no code implementations • 25 Feb 2022 • Pastor Andréas, Lukáš Krasula, Xiaoqing Zhu, Zhi Li, Patrick Le Callet
The goal of most subjective studies is to place a set of stimuli on a perceptual scale.
no code implementations • 7 Feb 2022 • Hao Wang, Zhi Li, Chunpeng Ge, Willy Susilo
To address the issue of privacy-preserving in collaborative learning, secure outsourced computation and federated learning are two typical methods.
no code implementations • 18 Oct 2021 • Zhi Li, Haoliang Li, Xin Luo, Yongjian Hu, Kwok-Yan Lam, Alex C. Kot
In this paper, we propose a novel framework based on asymmetric modality translation for face presentation attack detection in bi-modality scenarios.
1 code implementation • 13 Oct 2021 • Rizhao Cai, Zhi Li, Renjie Wan, Haoliang Li, Yongjian Hu, Alex ChiChung Kot
To improve the generalization ability, recent hybrid methods have been explored to extract task-aware handcrafted features (e. g., Local Binary Pattern) as discriminative information for the input of DNNs.
no code implementations • RANLP 2021 • Jiawen Zhu, Jinye Ran, Roy Ka-Wei Lee, Kenny Choo, Zhi Li
The analytical description of charts is an exciting and important research area with many applications in academia and industry.
no code implementations • ACL 2021 • Yadong Xi, Xiaoxi Mao, Le Li, Lei Lin, Yanjiang Chen, Shuhan Yang, Xuhan Chen, Kailun Tao, Zhi Li, Gongzheng li, Lin Jiang, Siyan Liu, Zeng Zhao, Minlie Huang, Changjie Fan, Zhipeng Hu
Equipped with GPT-2 and the latest GPT-3, AI Dungeon has been seen as a famous example of the powerful text generation capabilities of large-scale pre-trained language models, and a possibility for future games.
no code implementations • 27 May 2021 • Likang Wu, Zhi Li, Hongke Zhao, Qi Liu, Enhong Chen
Usually, this prediction is always with great challenges to making a comprehensive understanding of both the start-up project and market environment.
no code implementations • 20 May 2021 • Li-Heng Chen, Christos G. Bampis, Zhi Li, Chao Chen, Alan C. Bovik
The layers of convolutional neural networks (CNNs) can be used to alter the resolution of their inputs, but the scaling factors are limited to integer values.
no code implementations • NAACL (AutoSimTrans) 2021 • Ruiqing Zhang, Xiyang Wang, Chuanqiang Zhang, Zhongjun He, Hua Wu, Zhi Li, Haifeng Wang, Ying Chen, Qinfei Li
This corpus is expected to promote the research of automatic simultaneous translation as well as the development of practical systems.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
no code implementations • 17 Mar 2021 • Tingting Wu, Xiaoyu Gu, Jinbo Shao, Ruoxuan Zhou, Zhi Li
The proposed variational method uses a combination of $l_1$ and $l_2$ regularizers to maintain edge information of objects in images while overcoming the staircase effect.
no code implementations • 10 Mar 2021 • Fan Zhang, Angeliki Katsenou, Christos Bampis, Lukas Krasula, Zhi Li, David Bull
VMAF is a machine learning based video quality assessment method, originally designed for streaming applications, which combines multiple quality metrics and video features through SVM regression.
1 code implementation • 10 Feb 2021 • Zhi Li, Cheng Ren, Xianyou Li, Zachary A. Pardos
Assessment and reporting of skills is a central feature of many digital learning platforms.
1 code implementation • 16 Jan 2021 • Likang Wu, Zhi Li, Hongke Zhao, Qi Liu, Jun Wang, Mengdi Zhang, Enhong Chen
Existing representation learning methods in graph convolutional networks are mainly designed by describing the neighborhood of each node as a perceptual whole, while the implicit semantic associations behind highly complex interactions of graphs are largely unexploited.
no code implementations • 16 Dec 2020 • Defa Liu, Xianxin Wu, Fangsen Li, Yong Hu, Jianwei Huang, Yu Xu, Cong Li, Yunyi Zang, Junfeng He, Lin Zhao, Shaolong He, Chenjia Tang, Zhi Li, Lili Wang, Qingyan Wang, Guodong Liu, Zuyan Xu, Xu-Cun Ma, Qi-Kun Xue, Jiangping Hu, X. J. Zhou
These observations not only show the first direct evidence that the electronic structure of single-layer FeSe/SrTiO3 films originates from bulk FeSe through a combined effect of an electronic phase transition and an interfacial charge transfer, but also provide a quantitative basis for theoretical models in describing the electronic structure and understanding the superconducting mechanism in single-layer FeSe/SrTiO3 films.
Band Gap
Superconductivity
Strongly Correlated Electrons
no code implementations • 10 Dec 2020 • Kewen Shi, Wenlong Cai, Sheng Jiang, Daoqian Zhu, Kaihua Cao, Zongxia Guo, Jiaqi Wei, Ao Du, Zhi Li, Yan Huang, Jialiang Yin, Johan Akerman, Weisheng Zhao
Magnetic droplets, a class of highly non-linear magnetodynamical solitons, can be nucleated and stabilized in nanocontact spin-torque nano-oscillators where they greatly increase the microwave output power.
Applied Physics
no code implementations • 1 Nov 2020 • Fengying Che, Ruichuan Shi, Jian Wu, Haoran Li, Shuqin Li, Weixing Chen, Hao Zhang, Zhi Li, Xiaoyu Cui
The feature extraction methods of radiomics are mainly based on static tomographic images at a certain moment, while the occurrence and development of disease is a dynamic process that cannot be fully reflected by only static characteristics.
no code implementations • 1 Oct 2020 • Suiyi Ling, Jing Li, Anne Flore Perrin, Zhi Li, Lukáš Krasula, Patrick Le Callet
The development of rigorous quality assessment model relies on the collection of reliable subjective data, where the perceived quality of visual multimedia is rated by the human observers.
no code implementations • 25 Sep 2020 • Gan Zhou, Zhi Li, Meng Fu, Yanjun Feng, Xingyao Wang, Chengwei Huang
Secondly, we propose dilated convolution to curtail the excessive quantity of model parameters and obtain bigger receptive field, and multi-scale structure to learn mixed data features in a more targeted way.
1 code implementation • 20 Aug 2020 • Liyi Chen, Zhi Li, Yijun Wang, Tong Xu, Zhefeng Wang, Enhong Chen
To that end, in this paper, we propose a novel solution called Multi-Modal Entity Alignment (MMEA) to address the problem of entity alignment in a multi-modal view.
no code implementations • 3 Jul 2020 • Li-Heng Chen, Christos G. Bampis, Zhi Li, Andrey Norkin, Alan C. Bovik
Mean squared error (MSE) and $\ell_p$ norms have largely dominated the measurement of loss in neural networks due to their simplicity and analytical properties.
no code implementations • 8 Jun 2020 • Zhi Li, Bo Wu, Qi Liu, Likang Wu, Hongke Zhao, Tao Mei
Towards this end, in this paper, we propose a novel Content Attentive Neural Network (CANN) to model the comprehensive compositional coherence on both global contents and semantic contents.
no code implementations • 26 May 2020 • Ian M. Pendleton, Mary K. Caucci, Michael Tynes, Aaron Dharna, Mansoor Ani Najeeb Nellikkal, Zhi Li, Emory M. Chan, Alexander J. Norquist, and Joshua Schrier
To address limitations in previous work, we developed an improved description of the reactant concentrations in the experiments (validated against experimental observations) and performed experiments quantifying the excess volume of mixing of γ-butyrolactone/formic acid mixtures used in the perovskite syntheses.
no code implementations • 1 Mar 2020 • Jing Li, Suiyi Ling, Junle Wang, Zhi Li, Patrick Le Callet
In the big data era, data labeling can be obtained through crowdsourcing.
no code implementations • 14 Dec 2019 • Likang Wu, Zhi Li, Hongke Zhao, Zhen Pan, Qi Liu, Enhong Chen
In the crowdfunding market, the early fundraising performance of the project is a concerned issue for both creators and platforms.
1 code implementation • 19 Oct 2019 • Li-Heng Chen, Christos G. Bampis, Zhi Li, Andrey Norkin, Alan C. Bovik
By building on top of an existing deep image compression model, we are able to demonstrate a bitrate reduction of as much as $31\%$ over MSE optimization, given a specified perceptual quality (VMAF) level.
no code implementations • ICCV 2019 • Zhi Li, Xuan Wang, Fei Wang, Peilin Jiang
As illustrated in experiments, given only a small set of annotations, our method successfully makes the model to learn new poses from unlabelled monocular videos, promoting the accuracies of the baseline model by about 10%.
Ranked #23 on
Weakly-supervised 3D Human Pose Estimation
on Human3.6M
2 code implementations • 10 Sep 2019 • Lucjan Janowski, Bogdan Ćmiel, Krzysztof Rusek, Jakub Nawała, Zhi Li
A class of discrete probability distributions contains distributions with limited support, i. e. possible argument values are limited to a set of numbers (typically consecutive).
Methodology Multimedia G.3
1 code implementation • 30 May 2019 • Min Hou, Le Wu, Enhong Chen, Zhi Li, Vincent W. Zheng, Qi Liu
When making cloth decisions, people usually show preferences for different semantic attributes (e. g., the clothes with v-neck collar).
Ranked #1 on
Recommendation Systems
on Amazon Fashion
(nDCG@10 (500 Neg. Samples) metric, using extra
training data)
no code implementations • 3 Aug 2018 • Zhi Li, Hongke Zhao, Qi Liu, Zhenya Huang, Tao Mei, Enhong Chen
In this paper, we propose a novel Behavior-Intensive Neural Network (BINN) for next-item recommendation by incorporating both users' historical stable preferences and present consumption motivations.
1 code implementation • 14 Jun 2018 • Yilong Yang, Nafees Qamar, Peng Liu, Katarina Grolinger, Weiru Wang, Zhi Li, Zhifang Liao
Automated service classification plays a crucial role in service discovery, selection, and composition.
no code implementations • 25 Apr 2017 • Zhi Li, Wei Shi, Ming Yan
This paper proposes a novel proximal-gradient algorithm for a decentralized optimization problem with a composite objective containing smooth and non-smooth terms.
no code implementations • 11 Nov 2016 • Qingshan Liu, Renlong Hang, Huihui Song, Zhi Li
In this paper, we propose a multi-scale deep feature learning method for high-resolution satellite image classification.
13 code implementations • 3 Oct 2016 • Nicolas Papernot, Fartash Faghri, Nicholas Carlini, Ian Goodfellow, Reuben Feinman, Alexey Kurakin, Cihang Xie, Yash Sharma, Tom Brown, Aurko Roy, Alexander Matyasko, Vahid Behzadan, Karen Hambardzumyan, Zhishuai Zhang, Yi-Lin Juang, Zhi Li, Ryan Sheatsley, Abhibhav Garg, Jonathan Uesato, Willi Gierke, Yinpeng Dong, David Berthelot, Paul Hendricks, Jonas Rauber, Rujun Long, Patrick McDaniel
An adversarial example library for constructing attacks, building defenses, and benchmarking both