no code implementations • Findings (EMNLP) 2021 • Sen yang, Qingyu Zhou, Dawei Feng, Yang Liu, Chao Li, Yunbo Cao, Dongsheng Li
Moreover, this task can be used to improve visual question generation and visual question answering.
2 code implementations • Findings (ACL) 2022 • Sen yang, Leyang Cui, Ruoxi Ning, Di wu, Yue Zhang
Neural constituency parsers have reached practical performance on news-domain benchmarks.
no code implementations • 5 Nov 2024 • Liang Qiu, Wenhao Chi, Xiaohan Xing, Praveenbalaji Rajendran, Mingjie Li, Yuming Jiang, Oscar Pastor-Serrano, Sen yang, Xiyue Wang, Yuanfeng Ji, Qiang Wen
Precision therapy for liver cancer necessitates accurately delineating liver sub-regions to protect healthy tissue while targeting tumors, which is essential for reducing recurrence and improving survival rates.
no code implementations • 24 Oct 2024 • Luping Wang, Sheng Chen, Linnan Jiang, Shu Pan, Runze Cai, Sen yang, Fei Yang
When adapting large models to specific downstream tasks, their massive parameter scale poses a significant challenge in fine-tuning on hardware platforms with limited computational power and GPU memory.
1 code implementation • 18 Oct 2024 • Ruihan Yang, Caiqi Zhang, Zhisong Zhang, Xinting Huang, Sen yang, Nigel Collier, Dong Yu, Deqing Yang
To tackle these challenges, we propose a refinement-based data collection framework and a two-stage training pipeline.
no code implementations • 17 Oct 2024 • Caiqi Zhang, Ruihan Yang, Zhisong Zhang, Xinting Huang, Sen yang, Dong Yu, Nigel Collier
Existing research on LLM calibration has primarily focused on short-form tasks, providing a single confidence score at the response level (macro calibration).
1 code implementation • 15 Oct 2024 • Sizhong Qin, Chengyu He, Qiaoyun Chen, Sen yang, Wenjie Liao, Yi Gu, Xinzheng Lu
The generation and editing of floor plans are critical in architectural planning, requiring a high degree of flexibility and efficiency.
no code implementations • 10 Oct 2024 • Jing Yang, Minyue Jiang, Sen yang, Xiao Tan, YingYing Li, Errui Ding, Hanli Wang, Jingdong Wang
The construction of Vectorized High-Definition (HD) map typically requires capturing both category and geometry information of map elements.
1 code implementation • 24 Sep 2024 • Lingyu Xiao, Jiang-Jiang Liu, Sen yang, Xiaofan Li, Xiaoqing Ye, Wankou Yang, Jingdong Wang
In this paper, we explore the feasibility of deriving decisions from an autoregressive world model by addressing these challenges through the formulation of multiple probabilistic hypotheses.
no code implementations • 25 Jun 2024 • Sen yang, Leyang Cui, Deng Cai, Xinting Huang, Shuming Shi, Wai Lam
Iterative preference learning, though yielding superior performances, requires online annotated preference labels.
no code implementations • 20 Jun 2024 • Faxu Guo, Quan Feng, Sen yang, Wanxia Yang
Hyperspectral remote sensing (HIS) enables the detailed capture of spectral information from the Earth's surface, facilitating precise classification and identification of surface crops due to its superior spectral diagnostic capabilities.
no code implementations • 10 May 2024 • Wenjin Zhang, Keyi Li, Sen yang, Chenyang Gao, Wanzhao Yang, Sifan Yuan, Ivan Marsic
To overcome this limitation and improve SSL performance, we introduce \algo, a novel algorithm that fully utilizes unlabeled data to boost semi-supervised learning.
no code implementations • 29 Jan 2024 • Yizheng Chen, Rengan Xie, Qi Ye, Sen yang, Zixuan Xie, Tianxiao Chen, Rong Li, Yuchi Huo
Specifically, we first leverage to decouple the shading information from the generated images to reduce the impact of inconsistent lighting; then, we introduce mono prior with view-dependent transient encoding to enhance the reconstructed normal; and finally, we design a view augmentation fusion strategy that minimizes pixel-level loss in generated sparse views and semantic loss in augmented random views, resulting in view-consistent geometry and detailed textures.
1 code implementation • 12 Jan 2024 • Sen yang, ShuJian Huang, Xinyu Dai, Jiajun Chen
One way to speed them up is speculative decoding, which generates candidate segments (a sequence of tokens) from a fast draft model that is then verified in parallel by the target model.
1 code implementation • 1 Dec 2023 • Xuan-Phi Nguyen, Wenxuan Zhang, Xin Li, Mahani Aljunied, Zhiqiang Hu, Chenhui Shen, Yew Ken Chia, Xingxuan Li, Jianyu Wang, Qingyu Tan, Liying Cheng, Guanzheng Chen, Yue Deng, Sen yang, Chaoqun Liu, Hang Zhang, Lidong Bing
Despite the remarkable achievements of large language models (LLMs) in various tasks, there remains a linguistic bias that favors high-resource languages, such as English, often at the expense of low-resource and regional languages.
1 code implementation • 16 Nov 2023 • Sen yang, Xin Li, Leyang Cui, Lidong Bing, Wai Lam
Two lines of approaches are adopted for complex reasoning with LLMs.
1 code implementation • 23 Oct 2023 • Sen yang, Xin Li, Lidong Bing, Wai Lam
However, the knowledge-time association is usually insufficient for the downstream tasks that require reasoning over temporal dependencies between knowledge.
no code implementations • 27 Sep 2023 • Marc Aubreville, Nikolas Stathonikos, Taryn A. Donovan, Robert Klopfleisch, Jonathan Ganz, Jonas Ammeling, Frauke Wilm, Mitko Veta, Samir Jabari, Markus Eckstein, Jonas Annuscheit, Christian Krumnow, Engin Bozaba, Sercan Cayir, Hongyan Gu, Xiang 'Anthony' Chen, Mostafa Jahanifar, Adam Shephard, Satoshi Kondo, Satoshi Kasai, Sujatha Kotte, VG Saipradeep, Maxime W. Lafarge, Viktor H. Koelzer, Ziyue Wang, Yongbing Zhang, Sen yang, Xiyue Wang, Katharina Breininger, Christof A. Bertram
The challenge provided annotated histologic tumor images from six different domains and evaluated the algorithmic approaches for mitotic figure detection provided by nine challenge participants on ten independent domains.
2 code implementations • ICCV 2023 • Lingyu Xiao, Xiang Li, Sen yang, Wankou Yang
In this paper, we revisit the limitations of anchor-based lane detection methods, which have predominantly focused on fixed anchors that stem from the edges of the image, disregarding their versatility and quality.
no code implementations • 6 Aug 2023 • Sen yang, Xiaofeng Li
Specially, under the combined effects of platform vibration and turbulence, we decouple the parameters of beam divergence angle, spiral pitch, and coverage factor at a fixed transmitted power for a given average received SNR threshold.
1 code implementation • 25 May 2023 • Yuejiao Fei, Leyang Cui, Sen yang, Wai Lam, Zhenzhong Lan, Shuming Shi
Grammatical error correction systems improve written communication by detecting and correcting language mistakes.
no code implementations • 12 May 2023 • Jie Xu, Lu Lu, Sen yang, Bilin Liang, Xinwei Peng, Jiali Pang, Jinru Ding, Xiaoming Shi, Lingrui Yang, Huan Song, Kang Li, Xin Sun, Shaoting Zhang
The responses generated by chatbots based on LLMs are recorded for blind evaluations by five licensed medical experts.
no code implementations • CVPR 2023 • Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Sharib Ali, Vincent Andrearczyk, Marc Aubreville, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Veronika Cheplygina, Marie Daum, Marleen de Bruijne, Adrien Depeursinge, Reuben Dorent, Jan Egger, David G. Ellis, Sandy Engelhardt, Melanie Ganz, Noha Ghatwary, Gabriel Girard, Patrick Godau, Anubha Gupta, Lasse Hansen, Kanako Harada, Mattias Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Pierre Jannin, Ali Emre Kavur, Oldřich Kodym, Michal Kozubek, Jianning Li, Hongwei Li, Jun Ma, Carlos Martín-Isla, Bjoern Menze, Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rädsch, Jonathan Rafael-Patiño, Vivek Singh Bawa, Stefanie Speidel, Carole H. Sudre, Kimberlin Van Wijnen, Martin Wagner, Donglai Wei, Amine Yamlahi, Moi Hoon Yap, Chun Yuan, Maximilian Zenk, Aneeq Zia, David Zimmerer, Dogu Baran Aydogan, Binod Bhattarai, Louise Bloch, Raphael Brüngel, Jihoon Cho, Chanyeol Choi, Qi Dou, Ivan Ezhov, Christoph M. Friedrich, Clifton Fuller, Rebati Raman Gaire, Adrian Galdran, Álvaro García Faura, Maria Grammatikopoulou, SeulGi Hong, Mostafa Jahanifar, Ikbeom Jang, Abdolrahim Kadkhodamohammadi, Inha Kang, Florian Kofler, Satoshi Kondo, Hugo Kuijf, Mingxing Li, Minh Huan Luu, Tomaž Martinčič, Pedro Morais, Mohamed A. Naser, Bruno Oliveira, David Owen, Subeen Pang, Jinah Park, Sung-Hong Park, Szymon Płotka, Elodie Puybareau, Nasir Rajpoot, Kanghyun Ryu, Numan Saeed, Adam Shephard, Pengcheng Shi, Dejan Štepec, Ronast Subedi, Guillaume Tochon, Helena R. Torres, Helene Urien, João L. Vilaça, Kareem Abdul Wahid, Haojie Wang, Jiacheng Wang, Liansheng Wang, Xiyue Wang, Benedikt Wiestler, Marek Wodzinski, Fangfang Xia, Juanying Xie, Zhiwei Xiong, Sen yang, Yanwu Yang, Zixuan Zhao, Klaus Maier-Hein, Paul F. Jäger, Annette Kopp-Schneider, Lena Maier-Hein
The "typical" lead of a winning team is a computer scientist with a doctoral degree, five years of experience in biomedical image analysis, and four years of experience in deep learning.
1 code implementation • 11 Mar 2023 • Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Martin Weigert, Uwe Schmidt, Wenhua Zhang, Jun Zhang, Sen yang, Jinxi Xiang, Xiyue Wang, Josef Lorenz Rumberger, Elias Baumann, Peter Hirsch, Lihao Liu, Chenyang Hong, Angelica I. Aviles-Rivero, Ayushi Jain, Heeyoung Ahn, Yiyu Hong, Hussam Azzuni, Min Xu, Mohammad Yaqub, Marie-Claire Blache, Benoît Piégu, Bertrand Vernay, Tim Scherr, Moritz Böhland, Katharina Löffler, Jiachen Li, Weiqin Ying, Chixin Wang, Dagmar Kainmueller, Carola-Bibiane Schönlieb, Shuolin Liu, Dhairya Talsania, Yughender Meda, Prakash Mishra, Muhammad Ridzuan, Oliver Neumann, Marcel P. Schilling, Markus Reischl, Ralf Mikut, Banban Huang, Hsiang-Chin Chien, Ching-Ping Wang, Chia-Yen Lee, Hong-Kun Lin, Zaiyi Liu, Xipeng Pan, Chu Han, Jijun Cheng, Muhammad Dawood, Srijay Deshpande, Raja Muhammad Saad Bashir, Adam Shephard, Pedro Costa, João D. Nunes, Aurélio Campilho, Jaime S. Cardoso, Hrishikesh P S, Densen Puthussery, Devika R G, Jiji C V, Ye Zhang, Zijie Fang, Zhifan Lin, Yongbing Zhang, Chunhui Lin, Liukun Zhang, Lijian Mao, Min Wu, Vi Thi-Tuong Vo, Soo-Hyung Kim, Taebum Lee, Satoshi Kondo, Satoshi Kasai, Pranay Dumbhare, Vedant Phuse, Yash Dubey, Ankush Jamthikar, Trinh Thi Le Vuong, Jin Tae Kwak, Dorsa Ziaei, Hyun Jung, Tianyi Miao, David Snead, Shan E Ahmed Raza, Fayyaz Minhas, Nasir M. Rajpoot
Nuclear detection, segmentation and morphometric profiling are essential in helping us further understand the relationship between histology and patient outcome.
1 code implementation • 1 Mar 2023 • Sen yang, Wen Heng, Gang Liu, Guozhong Luo, Wankou Yang, Gang Yu
In this paper we present a novel method to estimate 3D human pose and shape from monocular videos.
Ranked #42 on 3D Human Pose Estimation on 3DPW
no code implementations • 13 Feb 2023 • Fei Kong, Xiyue Wang, Jinxi Xiang, Sen yang, Xinran Wang, Meng Yue, Jun Zhang, Junhan Zhao, Xiao Han, Yuhan Dong, Biyue Zhu, Fang Wang, Yueping Liu
We assessed the effectiveness of FACL in cancer diagnosis and Gleason grading tasks using 19, 461 whole-slide images of prostate cancer from multiple centers.
no code implementations • 12 Jan 2023 • Siteng Chen, Xiyue Wang, Jun Zhang, Liren Jiang, Ning Zhang, Feng Gao, Wei Yang, Jinxi Xiang, Sen yang, Junhua Zheng, Xiao Han
The OSrisk for the prediction of 5-year survival status achieved AUC of 0. 784 (0. 746-0. 819) in the TCGA cohort, which was further verified in the independent General cohort and the CPTAC cohort, with AUC of 0. 774 (0. 723-0. 820) and 0. 702 (0. 632-0. 765), respectively.
no code implementations • 10 Nov 2022 • Jigang Tong, Fanhang Yang, Sen yang, Enzeng Dong, Shengzhi Du, Xing Wang, Xianlin Yi
The cosh-attention module reduces the space and time complexity of the attention operation.
1 code implementation • 13 Sep 2022 • Sen yang, Tao Shen, Yuqi Fang, Xiyue Wang, Jun Zhang, Wei Yang, Junzhou Huang, Xiao Han
The high-content image-based assay is commonly leveraged for identifying the phenotypic impact of genetic perturbations in biology field.
no code implementations • 6 Jul 2022 • Keyi Li, Sen yang, Travis M. Sullivan, Randall S. Burd, Ivan Marsic
The best model achieved an average F1-score of 0. 67 for 61 activity types.
1 code implementation • 1 Jun 2022 • Yi Guo, Zhaocheng Liu, Jianchao Tan, Chao Liao, Sen yang, Lei Yuan, Dongying Kong, Zhi Chen, Ji Liu
When training is finished, some gates are exact zero, while others are around one, which is particularly favored by the practical hot-start training in the industry, due to no damage to the model performance before and after removing the features corresponding to exact-zero gates.
no code implementations • 21 May 2022 • Chao Chen, Zijian Gao, Kele Xu, Sen yang, Yiying Li, Bo Ding, Dawei Feng, Huaimin Wang
To handle the sparsity of the extrinsic rewards in reinforcement learning, researchers have proposed intrinsic reward which enables the agent to learn the skills that might come in handy for pursuing the rewards in the future, such as encouraging the agent to visit novel states.
no code implementations • 7 Apr 2022 • Siteng Chen, Jinxi Xiang, Xiyue Wang, Jun Zhang, Sen yang, Junzhou Huang, Wei Yang, Junhua Zheng, Xiao Han
MC-TMB algorithm also exhibited good generalization on the external validation cohort with an AUC of 0. 732 (0. 683-0. 761), and better performance when compared to other methods.
no code implementations • 6 Apr 2022 • Marc Aubreville, Nikolas Stathonikos, Christof A. Bertram, Robert Klopleisch, Natalie ter Hoeve, Francesco Ciompi, Frauke Wilm, Christian Marzahl, Taryn A. Donovan, Andreas Maier, Jack Breen, Nishant Ravikumar, Youjin Chung, Jinah Park, Ramin Nateghi, Fattaneh Pourakpour, Rutger H. J. Fick, Saima Ben Hadj, Mostafa Jahanifar, Nasir Rajpoot, Jakob Dexl, Thomas Wittenberg, Satoshi Kondo, Maxime W. Lafarge, Viktor H. Koelzer, Jingtang Liang, YuBo Wang, Xi Long, Jingxin Liu, Salar Razavi, April Khademi, Sen yang, Xiyue Wang, Mitko Veta, Katharina Breininger
The goal of the MICCAI MIDOG 2021 challenge has been to propose and evaluate methods that counter this domain shift and derive scanner-agnostic mitosis detection algorithms.
1 code implementation • ICLR 2022 • Shixing Yu, Tianlong Chen, Jiayi Shen, Huan Yuan, Jianchao Tan, Sen yang, Ji Liu, Zhangyang Wang
Vision transformers (ViTs) have gained popularity recently.
no code implementations • 15 Mar 2022 • Keyi Li, Sen yang, Travis M. Sullivan, Randall S. Burd, Ivan Marsic
We experimented with different models of representation learning and used the learned model to generate synthetic process data.
no code implementations • 4 Mar 2022 • Sen yang, Jinxi Xiang, Xiyue Wang
Nucleus segmentation and classification are the prerequisites in the workflow of digital pathology processing.
no code implementations • 2 Mar 2022 • Sen yang, Yunchen Zhang, Leyang Cui, Yue Zhang
Thanks to the advanced improvement of large pre-trained language models, prompt-based fine-tuning is shown to be effective on a variety of downstream tasks.
no code implementations • 26 Feb 2022 • Wentao Zhu, Hang Shang, Tingxun Lv, Chao Liao, Sen yang, Ji Liu
Recently, learning from vast unlabeled data, especially self-supervised learning, has been emerging and attracted widespread attention.
1 code implementation • 21 Feb 2022 • Jiawei Liu, Yuxiang Wei, Sen yang, Yinlin Deng, Lingming Zhang
Our results show that Tzer substantially outperforms existing fuzzing techniques on tensor compiler testing, with 75% higher coverage and 50% more valuable tests than the 2nd-best technique.
1 code implementation • 16 Feb 2022 • Aaron Babier, Rafid Mahmood, Binghao Zhang, Victor G. L. Alves, Ana Maria Barragán-Montero, Joel Beaudry, Carlos E. Cardenas, Yankui Chang, Zijie Chen, Jaehee Chun, Kelly Diaz, Harold David Eraso, Erik Faustmann, Sibaji Gaj, Skylar Gay, Mary Gronberg, Bingqi Guo, Junjun He, Gerd Heilemann, Sanchit Hira, Yuliang Huang, Fuxin Ji, Dashan Jiang, Jean Carlo Jimenez Giraldo, Hoyeon Lee, Jun Lian, Shuolin Liu, Keng-Chi Liu, José Marrugo, Kentaro Miki, Kunio Nakamura, Tucker Netherton, Dan Nguyen, Hamidreza Nourzadeh, Alexander F. I. Osman, Zhao Peng, José Darío Quinto Muñoz, Christian Ramsl, Dong Joo Rhee, Juan David Rodriguez, Hongming Shan, Jeffrey V. Siebers, Mumtaz H. Soomro, Kay Sun, Andrés Usuga Hoyos, Carlos Valderrama, Rob Verbeek, Enpei Wang, Siri Willems, Qi Wu, Xuanang Xu, Sen yang, Lulin Yuan, Simeng Zhu, Lukas Zimmermann, Kevin L. Moore, Thomas G. Purdie, Andrea L. McNiven, Timothy C. Y. Chan
The dose predictions were input to four optimization models to form 76 unique KBP pipelines that generated 7600 plans.
1 code implementation • 13 Jan 2022 • Da Li, Sen yang, Kele Xu, Ming Yi, Yukai He, Huaimin Wang
To demonstrate the effectiveness of our method, we conduct extensive experiments on three widely-used datasets, WN18RR, FB15k-237, and UMLS.
Ranked #1 on Link Prediction on UMLS
1 code implementation • CVPR 2022 • Yonghang Guan, Jun Zhang, Kuan Tian, Sen yang, Pei Dong, Jinxi Xiang, Wei Yang, Junzhou Huang, Yuyao Zhang, Xiao Han
In this paper, we propose a hierarchical global-to-local clustering strategy to build a Node-Aligned GCN (NAGCN) to represent WSI with rich local structural information as well as global distribution.
no code implementations • NeurIPS 2021 • Shun Lu, Jixiang Li, Jianchao Tan, Sen yang, Ji Liu
Predictor-based Neural Architecture Search (NAS) continues to be an important topic because it aims to mitigate the time-consuming search procedure of traditional NAS methods.
Ranked #21 on Neural Architecture Search on CIFAR-10
1 code implementation • 25 Nov 2021 • Sen yang, Zhicheng Wang, Ze Chen, YanJie Li, Shoukui Zhang, Zhibin Quan, Shu-Tao Xia, Yiping Bao, Erjin Zhou, Wankou Yang
This paper presents a new method to solve keypoint detection and instance association by using Transformer.
Ranked #10 on Multi-Person Pose Estimation on MS COCO
1 code implementation • 10 Nov 2021 • Xiangru Lian, Binhang Yuan, XueFeng Zhu, Yulong Wang, Yongjun He, Honghuan Wu, Lei Sun, Haodong Lyu, Chengjun Liu, Xing Dong, Yiqiao Liao, Mingnan Luo, Congfei Zhang, Jingru Xie, Haonan Li, Lei Chen, Renjie Huang, Jianying Lin, Chengchun Shu, Xuezhong Qiu, Zhishan Liu, Dongying Kong, Lei Yuan, Hai Yu, Sen yang, Ce Zhang, Ji Liu
Specifically, in order to ensure both the training efficiency and the training accuracy, we design a novel hybrid training algorithm, where the embedding layer and the dense neural network are handled by different synchronization mechanisms; then we build a system called Persia (short for parallel recommendation training system with hybrid acceleration) to support this hybrid training algorithm.
no code implementations • 20 Oct 2021 • Yu Shen, Yang Li, Jian Zheng, Wentao Zhang, Peng Yao, Jixiang Li, Sen yang, Ji Liu, Bin Cui
Designing neural architectures requires immense manual efforts.
1 code implementation • 15 Oct 2021 • Tianli Zhao, Xi Sheryl Zhang, Wentao Zhu, Jiaxing Wang, Sen yang, Ji Liu, Jian Cheng
In this paper, we present a unified framework with Joint Channel pruning and Weight pruning (JCW), and achieves a better Pareto-frontier between the latency and accuracy than previous model compression approaches.
1 code implementation • ACL 2022 • Leyang Cui, Sen yang, Yue Zhang
Besides, our method achieves state-of-the-art BERT-based performance on PTB (95. 92 F1) and strong performance on CTB (92. 31 F1).
Ranked #8 on Constituency Parsing on Penn Treebank
no code implementations • 22 Sep 2021 • Yu Tian, Chengguang Li, Sen yang
In this paper, we propose a deep learning model for Demodulation Reference Signal (DMRS) based channel estimation task.
1 code implementation • 18 Sep 2021 • Wentao Zhu, Tianlong Kong, Shun Lu, Jixiang Li, Dawei Zhang, Feng Deng, Xiaorui Wang, Sen yang, Ji Liu
Recently, x-vector has been a successful and popular approach for speaker verification, which employs a time delay neural network (TDNN) and statistics pooling to extract speaker characterizing embedding from variable-length utterances.
Ranked #13 on Speaker Verification on VoxCeleb1
no code implementations • ICCV 2021 • Yi Guo, Huan Yuan, Jianchao Tan, Zhangyang Wang, Sen yang, Ji Liu
During the training process, the polarization effect will drive a subset of gates to smoothly decrease to exact zero, while other gates gradually stay away from zero by a large margin.
no code implementations • 1 Sep 2021 • Sen yang, Feng Luo, Jun Zhang, Xiyue Wang
Mitotic count is the most important morphological feature of breast cancer grading.
no code implementations • NeurIPS 2021 • Xuefan Zha, Wentao Zhu, Tingxun Lv, Sen yang, Ji Liu
However, the pure-Transformer based spatio-temporal learning can be prohibitively costly on memory and computation to extract fine-grained features from a tiny patch.
no code implementations • 20 Aug 2021 • Weicong Ding, Hanlin Tang, Jingshuo Feng, Lei Yuan, Sen yang, Guangxu Yang, Jie Zheng, Jing Wang, Qiang Su, Dong Zheng, Xuezhong Qiu, Yongqi Liu, Yuxuan Chen, Yang Liu, Chao Song, Dongying Kong, Kai Ren, Peng Jiang, Qiao Lian, Ji Liu
In this setting with multiple and constrained goals, this paper discovers that a probabilistic strategic parameter regime can achieve better value compared to the standard regime of finding a single deterministic parameter.
no code implementations • 10 Aug 2021 • Shangfeng Dai, Haobin Lin, Zhichen Zhao, Jianying Lin, Honghuan Wu, Zhe Wang, Sen yang, Ji Liu
Moreover, POSO can be further generalized to regular users, inactive users and returning users (+2%-3% on Watch Time), as well as item cold start (+3. 8% on Watch Time).
no code implementations • 9 Aug 2021 • Alain Lalande, Zhihao Chen, Thibaut Pommier, Thomas Decourselle, Abdul Qayyum, Michel Salomon, Dominique Ginhac, Youssef Skandarani, Arnaud Boucher, Khawla Brahim, Marleen de Bruijne, Robin Camarasa, Teresa M. Correia, Xue Feng, Kibrom B. Girum, Anja Hennemuth, Markus Huellebrand, Raabid Hussain, Matthias Ivantsits, Jun Ma, Craig Meyer, Rishabh Sharma, Jixi Shi, Nikolaos V. Tsekos, Marta Varela, Xiyue Wang, Sen yang, Hannu Zhang, Yichi Zhang, Yuncheng Zhou, Xiahai Zhuang, Raphael Couturier, Fabrice Meriaudeau
The publicly available database consists of 150 exams divided into 50 cases with normal MRI after injection of a contrast agent and 100 cases with myocardial infarction (and then with a hyperenhanced area on DE-MRI), whatever their inclusion in the cardiac emergency department.
3 code implementations • 7 Jul 2021 • YanJie Li, Sen yang, Peidong Liu, Shoukui Zhang, Yunxiao Wang, Zhicheng Wang, Wankou Yang, Shu-Tao Xia
The 2D heatmap-based approaches have dominated Human Pose Estimation (HPE) for years due to high performance.
1 code implementation • 5 Jul 2021 • Zhishan Zhao, Sen yang, Guohui Liu, Dawei Feng, Kele Xu
As a critical component for online advertising and marking, click-through rate (CTR) prediction has draw lots of attentions from both industry and academia field.
1 code implementation • 3 Jul 2021 • Shaoduo Gan, Xiangru Lian, Rui Wang, Jianbin Chang, Chengjun Liu, Hongmei Shi, Shengzhuo Zhang, Xianghong Li, Tengxu Sun, Jiawei Jiang, Binhang Yuan, Sen yang, Ji Liu, Ce Zhang
Recent years have witnessed a growing list of systems for distributed data-parallel training.
1 code implementation • Findings (ACL) 2021 • Leyang Cui, Yu Wu, Jian Liu, Sen yang, Yue Zhang
To address the issue, we propose a template-based method for NER, treating NER as a language model ranking problem in a sequence-to-sequence framework, where original sentences and statement templates filled by candidate named entity span are regarded as the source sequence and the target sequence, respectively.
1 code implementation • ICCV 2021 • YanJie Li, Shoukui Zhang, Zhicheng Wang, Sen yang, Wankou Yang, Shu-Tao Xia, Erjin Zhou
Most existing CNN-based methods do well in visual representation, however, lacking in the ability to explicitly learn the constraint relationships between keypoints.
1 code implementation • ICCV 2021 • Sen yang, Zhibin Quan, Mu Nie, Wankou Yang
While CNN-based models have made remarkable progress on human pose estimation, what spatial dependencies they capture to localize keypoints remains unclear.
Ranked #3 on Pose Estimation on OCHuman (Validation AP metric)
no code implementations • 19 Oct 2020 • Haoran Wei, Fei Tao, Runze Su, Sen yang, Ji Liu
Previous end-to-end SLU models are primarily used for English environment due to lacking large scale SLU dataset in Chines, and use only one ASR model to extract features from speech.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +4
1 code implementation • EMNLP 2020 • Dandan Huang, Leyang Cui, Sen yang, Guangsheng Bao, Kun Wang, Jun Xie, Yue Zhang
Deep learning has led to significant improvement in text summarization with various methods investigated and improved ROUGE scores reported over the years.
no code implementations • 29 Jul 2020 • Xin Dong, Yaxin Zhu, Yupeng Zhang, Zuohui Fu, Dongkuan Xu, Sen yang, Gerard de Melo
The resulting model then serves as a teacher to induce labels for unlabeled target language samples that can be used during further adversarial training, allowing us to gradually adapt our model to the target language.
no code implementations • 22 Jun 2020 • Xiahai Zhuang, Jiahang Xu, Xinzhe Luo, Chen Chen, Cheng Ouyang, Daniel Rueckert, Victor M. Campello, Karim Lekadir, Sulaiman Vesal, Nishant Ravikumar, Yashu Liu, Gongning Luo, Jingkun Chen, Hongwei Li, Buntheng Ly, Maxime Sermesant, Holger Roth, Wentao Zhu, Jiexiang Wang, Xinghao Ding, Xinyue Wang, Sen yang, Lei LI
In addition, the paired MS-CMR images could enable algorithms to combine the complementary information from the other sequences for the segmentation of LGE CMR.
no code implementations • 2 Jun 2020 • Zhigang Kan, Linbo Qiao, Sen yang, Feng Liu, Feng Huang
However, the F-Score of event arguments extraction is much lower than that of event trigger extraction, i. e. in the most recent work, event trigger extraction achieves 80. 7%, while event arguments extraction achieves only 58%.
1 code implementation • COLING 2020 • Sen yang, Leyang Cui, Jun Xie, Yue Zhang
In this paper, we conduct a study to exploit methods for better use of summary information.
2 code implementations • 16 Sep 2019 • Sen Yang, Wankou Yang, Zhen Cui
Neural Architecture Search (NAS) technologies have emerged in many domains to jointly learn the architectures and weights of the neural network.
Ranked #13 on Keypoint Detection on MS COCO
no code implementations • ACL 2019 • Sen Yang, Dawei Feng, Linbo Qiao, Zhigang Kan, Dongsheng Li
Traditional approaches to the task of ACE event extraction usually depend on manually annotated data, which is often laborious to create and limited in size.
no code implementations • 9 May 2019 • Hao Yu, Rong Jin, Sen yang
Recent developments on large-scale distributed machine learning applications, e. g., deep neural networks, benefit enormously from the advances in distributed non-convex optimization techniques, e. g., distributed Stochastic Gradient Descent (SGD).
no code implementations • 19 Mar 2019 • Rong Jin, David Simchi-Levi, Li Wang, Xinshang Wang, Sen Yang
In this paper, we study algorithms for dynamically identifying a large number of products (i. e., SKUs) with top customer purchase probabilities on the fly, from an ocean of potential products to offer on retailers' ultra-fast delivery platforms.
no code implementations • 17 Jul 2018 • Hao Yu, Sen yang, Shenghuo Zhu
Ideally, parallel mini-batch SGD can achieve a linear speed-up of the training time (with respect to the number of workers) compared with SGD over a single worker.
no code implementations • 21 May 2018 • Yi Xu, Shenghuo Zhu, Sen yang, Chi Zhang, Rong Jin, Tianbao Yang
Learning with a {\it convex loss} function has been a dominating paradigm for many years.
no code implementations • 16 Sep 2017 • Shuhong Chen, Sen yang, Moliang Zhou, Randall S. Burd, Ivan Marsic
We applied PIMA to analyzing medical workflow data, showing how iterative alignment can better represent the data and facilitate the extraction of insights from data visualization.
no code implementations • NeurIPS 2012 • Binbin Lin, Sen yang, Chiyuan Zhang, Jieping Ye, Xiaofei He
MTVFL has the following key properties: (1) the vector fields we learned are close to the gradient fields of the prediction functions; (2) within each task, the vector field is required to be as parallel as possible which is expected to span a low dimensional subspace; (3) the vector fields from all tasks share a low dimensional subspace.
no code implementations • 10 Sep 2012 • Sen Yang, Zhaosong Lu, Xiaotong Shen, Peter Wonka, Jieping Ye
We expect the two brain networks for NC and MCI to share common structures but not to be identical to each other; similarly for the two brain networks for MCI and AD.