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Shuang Wu

NFLAT: Non-Flat-Lattice Transformer for Chinese Named Entity Recognition


May 19, 2022
Shuang Wu, Xiaoning Song, Zhenhua Feng, Xiao-Jun Wu

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* 18 pages, 6 figures, 8 tables, Under Review for NeurIPS 2022 
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Copy Motion From One to Another: Fake Motion Video Generation


May 03, 2022
Zhenguang Liu, Sifan Wu, Chejian Xu, Xiang Wang, Lei Zhu, Shuang Wu, Fuli Feng

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* This paper is accepted to IJCAI2022 (ORAL presentation) 
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Self-Aware Personalized Federated Learning


Apr 17, 2022
Huili Chen, Jie Ding, Eric Tramel, Shuang Wu, Anit Kumar Sahu, Salman Avestimehr, Tao Zhang

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Temporal Feature Alignment and Mutual Information Maximization for Video-Based Human Pose Estimation


Apr 03, 2022
Zhenguang Liu, Runyang Feng, Haoming Chen, Shuang Wu, Yixing Gao, Yunjun Gao, Xiang Wang

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* This paper is accepted to CVPR2022 (ORAL presentation) 
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Towards Practical Certifiable Patch Defense with Vision Transformer


Mar 16, 2022
Zhaoyu Chen, Bo Li, Jianghe Xu, Shuang Wu, Shouhong Ding, Wenqiang Zhang

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* Accepted by CVPR2022 
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Residual Bootstrap Exploration for Stochastic Linear Bandit


Feb 23, 2022
Shuang Wu, Chi-Hua Wang, Yuantong Li, Guang Cheng

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Federated Learning Challenges and Opportunities: An Outlook


Feb 01, 2022
Jie Ding, Eric Tramel, Anit Kumar Sahu, Shuang Wu, Salman Avestimehr, Tao Zhang

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* This paper provides an outlook on FL development as part of the ICASSP 2022 special session entitled "Frontiers of Federated Learning: Applications, Challenges, and Opportunities" 
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Dual Learning Music Composition and Dance Choreography


Jan 28, 2022
Shuang Wu, Zhenguang Li, Shijian Lu, Li Cheng

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* ACMMM 2021 (Oral) 
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Motion Prediction via Joint Dependency Modeling in Phase Space


Jan 07, 2022
Pengxiang Su, Zhenguang Liu, Shuang Wu, Lei Zhu, Yifang Yin, Xuanjing Shen

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Investigating Pose Representations and Motion Contexts Modeling for 3D Motion Prediction


Dec 30, 2021
Zhenguang Liu, Shuang Wu, Shuyuan Jin, Shouling Ji, Qi Liu, Shijian Lu, Li Cheng

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* Accepted to IEEE TPAMI, 27 Dec. 2021 
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A Practical Data-Free Approach to One-shot Federated Learning with Heterogeneity


Dec 23, 2021
Jie Zhang, Chen Chen, Bo Li, Lingjuan Lyu, Shuang Wu, Jianghe Xu, Shouhong Ding, Chao Wu

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Learning Human Motion Prediction via Stochastic Differential Equations


Dec 21, 2021
Kedi Lyu, Zhenguang Liu, Shuang Wu, Haipeng Chen, Xuhong Zhang, Yuyu Yin

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* 9 pages, 6 figures 
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Music-to-Dance Generation with Optimal Transport


Dec 03, 2021
Shuang Wu, Shijian Lu, Li Cheng

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MECT: Multi-Metadata Embedding based Cross-Transformer for Chinese Named Entity Recognition


Jul 12, 2021
Shuang Wu, Xiaoning Song, Zhenhua Feng

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* Accepted to ACL-2021 
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Deep Dual Consecutive Network for Human Pose Estimation


Mar 19, 2021
Zhenguang Liu, Haoming Chen, Runyang Feng, Shuang Wu, Shouling Ji, Bailin Yang, Xun Wang

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* This paper is accepted by CVPR 2021 
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Aggregated Multi-GANs for Controlled 3D Human Motion Prediction


Mar 17, 2021
Zhenguang Liu, Kedi Lyu, Shuang Wu, Haipeng Chen, Yanbin Hao, Shouling Ji

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Training High-Performance and Large-Scale Deep Neural Networks with Full 8-bit Integers


Sep 05, 2019
Yukuan Yang, Shuang Wu, Lei Deng, Tianyi Yan, Yuan Xie, Guoqi Li

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Convolution with even-sized kernels and symmetric padding


Mar 20, 2019
Shuang Wu, Guanrui Wang, Pei Tang, Feng Chen, Luping Shi

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* 10 pages, 5 figures, 4 tables 
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Robust and Efficient Graph Correspondence Transfer for Person Re-identification


May 15, 2018
Qin Zhou, Heng Fan, Hua Yang, Hang Su, Shibao Zheng, Shuang Wu, Haibin Ling

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* Tech. Report. The source code is available at http://www.dabi.temple.edu/~hbling/code/gct.htm. arXiv admin note: text overlap with arXiv:1804.00242 
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Graph Correspondence Transfer for Person Re-identification


Apr 01, 2018
Qin Zhou, Heng Fan, Shibao Zheng, Hang Su, Xinzhe Li, Shuang Wu, Haibin Ling

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* Accepted to AAAI'18 (Oral). The code is available at http://www.dabi.temple.edu/~hbling/code/gct.htm 
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L1-Norm Batch Normalization for Efficient Training of Deep Neural Networks


Feb 27, 2018
Shuang Wu, Guoqi Li, Lei Deng, Liu Liu, Yuan Xie, Luping Shi

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* 8 pages, 4 figures 
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Training and Inference with Integers in Deep Neural Networks


Feb 13, 2018
Shuang Wu, Guoqi Li, Feng Chen, Luping Shi

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* 14 pages, 5 figures, ICLR2018 
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Slim Embedding Layers for Recurrent Neural Language Models


Dec 22, 2017
Zhongliang Li, Raymond Kulhanek, Shaojun Wang, Yunxin Zhao, Shuang Wu

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* To appear at AAAI 2018 
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