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Dongsheng Li

Graph Pooling via Coarsened Graph Infomax


May 04, 2021
Yunsheng Pang, Yunxiang Zhao, Dongsheng Li

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A Reinforcement-Learning-Based Energy-Efficient Framework for Multi-Task Video Analytics Pipeline


May 02, 2021
Yingying Zhao, Mingzhi Dong, Yujiang Wang, Da Feng, Qin Lv, Robert P. Dick, Dongsheng Li, Tun Lu, Ning Gu, Li Shang

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* IEEE Transactions on Multimedia 
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Decentralized Federated Averaging


Apr 23, 2021
Tao Sun, Dongsheng Li, Bao Wang

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NeuSE: A Neural Snapshot Ensemble Method for Collaborative Filtering


Apr 15, 2021
Dongsheng Li, Haodong Liu, Chao Chen, Yingying Zhao, Stephen M. Chu, Bo Yang

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Hierarchical Adaptive Pooling by Capturing High-order Dependency for Graph Representation Learning


Apr 13, 2021
Ning Liu, Songlei Jian, Dongsheng Li, Yiming Zhang, Zhiquan Lai, Hongzuo Xu

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Decentralized Statistical Inference with Unrolled Graph Neural Networks


Apr 04, 2021
He Wang, Yifei Shen, Ziyuan Wang, Dongsheng Li, Jun Zhang, Khaled B. Letaief, Jie Lu

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Stability and Generalization of the Decentralized Stochastic Gradient Descent


Feb 23, 2021
Tao Sun, Dongsheng Li, Bao Wang

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* AAAI-2021 
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Inertial Proximal Deep Learning Alternating Minimization for Efficient Neutral Network Training


Jan 30, 2021
Linbo Qiao, Tao Sun, Hengyue Pan, Dongsheng Li

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Learning content and context with language bias for Visual Question Answering


Dec 21, 2020
Chao Yang, Su Feng, Dongsheng Li, Huawei Shen, Guoqing Wang, Bin Jiang

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PPGN: Phrase-Guided Proposal Generation Network For Referring Expression Comprehension


Dec 20, 2020
Chao Yang, Guoqing Wang, Dongsheng Li, Huawei Shen, Su Feng, Bin Jiang

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Meta-Learning for Neural Relation Classification with Distant Supervision


Oct 26, 2020
Zhenzhen Li, Jian-Yun Nie, Benyou Wang, Pan Du, Yuhan Zhang, Lixin Zou, Dongsheng Li

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* In Proceedings of CIKM, pp. 815-824. 2020 
 * 10 pages, 7 figures; corrected one encoding error in CIKM pdf 
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Learning Invariant Representations and Risks for Semi-supervised Domain Adaptation


Oct 12, 2020
Bo Li, Yezhen Wang, Shanghang Zhang, Dongsheng Li, Trevor Darrell, Kurt Keutzer, Han Zhao

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* Preprint 
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Dynamic Knowledge Distillation for Black-box Hypothesis Transfer Learning


Aug 07, 2020
Yiqin Yu, Xu Min, Shiwan Zhao, Jing Mei, Fei Wang, Dongsheng Li, Kenney Ng, Shaochun Li

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* 7 pages, 2 figures 
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ADMMiRNN: Training RNN with Stable Convergence via An Efficient ADMM Approach


Jun 17, 2020
Yu Tang, Zhigang Kan, Dequan Sun, Linbo Qiao, Jingjing Xiao, Zhiquan Lai, Dongsheng Li

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* 17 pages, 11 figures 
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Adaptive Temporal Difference Learning with Linear Function Approximation


Feb 20, 2020
Tao Sun, Han Shen, Tianyi Chen, Dongsheng Li

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Towards Precise End-to-end Weakly Supervised Object Detection Network


Nov 27, 2019
Ke Yang, Dongsheng Li, Yong Dou

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* accepted by ICCV 2019 
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XPipe: Efficient Pipeline Model Parallelism for Multi-GPU DNN Training


Nov 20, 2019
Lei Guan, Wotao Yin, Dongsheng Li, Xicheng Lu

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* 9 pages 
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General Proximal Incremental Aggregated Gradient Algorithms: Better and Novel Results under General Scheme


Oct 11, 2019
Tao Sun, Yuejiao Sun, Dongsheng Li, Qing Liao

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* NeurIPS 2019 
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Decentralized Markov Chain Gradient Descent


Sep 23, 2019
Tao Sun, Tianyi Chen, Yuejiao Sun, Qing Liao, Dongsheng Li

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A Multi-Type Multi-Span Network for Reading Comprehension that Requires Discrete Reasoning


Aug 30, 2019
Minghao Hu, Yuxing Peng, Zhen Huang, Dongsheng Li

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* To appear at EMNLP-IJCNLP 2019 
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Heavy-ball Algorithms Always Escape Saddle Points


Jul 23, 2019
Tao Sun, Dongsheng Li, Zhe Quan, Hao Jiang, Shengguo Li, Yong Dou

* IJCAI 2019 
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Retrieve, Read, Rerank: Towards End-to-End Multi-Document Reading Comprehension


Jun 11, 2019
Minghao Hu, Yuxing Peng, Zhen Huang, Dongsheng Li

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* To appear at ACL 2019 
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Open-Domain Targeted Sentiment Analysis via Span-Based Extraction and Classification


Jun 10, 2019
Minghao Hu, Yuxing Peng, Zhen Huang, Dongsheng Li, Yiwei Lv

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* To appear at ACL 2019 
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