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Multiple Code Hashing for Efficient Image Retrieval

Aug 04, 2020
Ming-Wei Li, Qing-Yuan Jiang, Wu-Jun Li

* 12 pages, 9 figures, 3 tables 

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ExchNet: A Unified Hashing Network for Large-Scale Fine-Grained Image Retrieval

Aug 04, 2020
Quan Cui, Qing-Yuan Jiang, Xiu-Shen Wei, Wu-Jun Li, Osamu Yoshie

* Accepted by ECCV2020 

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Stochastic Normalized Gradient Descent with Momentum for Large Batch Training

Jul 28, 2020
Shen-Yi Zhao, Yin-Peng Xie, Wu-Jun Li


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TOMA: Topological Map Abstraction for Reinforcement Learning

May 11, 2020
Zhao-Heng Yin, Wu-Jun Li


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BASGD: Buffered Asynchronous SGD for Byzantine Learning

Mar 03, 2020
Yi-Rui Yang, Wu-Jun Li


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Stagewise Enlargement of Batch Size for SGD-based Learning

Feb 27, 2020
Shen-Yi Zhao, Yin-Peng Xie, Wu-Jun Li


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Weight Normalization based Quantization for Deep Neural Network Compression

Jul 01, 2019
Wen-Pu Cai, Wu-Jun Li

* 10 pages, 5 figures 

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ADASS: Adaptive Sample Selection for Training Acceleration

Jun 11, 2019
Shen-Yi Zhao, Hao Gao, Wu-Jun Li


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Clustered Reinforcement Learning

Jun 06, 2019
Xiao Ma, Shen-Yi Zhao, Wu-Jun Li

* 16pages, 3 figures 

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On the Convergence of Memory-Based Distributed SGD

May 30, 2019
Shen-Yi Zhao, Hao Gao, Wu-Jun Li


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Global Momentum Compression for Sparse Communication in Distributed SGD

May 30, 2019
Shen-Yi Zhao, Yin-Peng Xie, Hao Gao, Wu-Jun Li


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Deep Multi-Index Hashing for Person Re-Identification

May 27, 2019
Ming-Wei Li, Qing-Yuan Jiang, Wu-Jun Li

* 10 pages, 6 figures, 2 tables 

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Collaborative Self-Attention for Recommender Systems

May 27, 2019
Kai-Lang Yao, Wu-Jun Li


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Gated Group Self-Attention for Answer Selection

May 26, 2019
Dong Xu, Jianhui Ji, Haikuan Huang, Hongbo Deng, Wu-Jun Li


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Hashing based Answer Selection

May 26, 2019
Dong Xu, Wu-Jun Li


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Quantized Epoch-SGD for Communication-Efficient Distributed Learning

Jan 10, 2019
Shen-Yi Zhao, Hao Gao, Wu-Jun Li


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Proximal SCOPE for Distributed Sparse Learning: Better Data Partition Implies Faster Convergence Rate

Oct 26, 2018
Shen-Yi Zhao, Gong-Duo Zhang, Ming-Wei Li, Wu-Jun Li


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Convolutional Geometric Matrix Completion

Mar 02, 2018
Kai-Lang Yao, Wu-Jun Li


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Feature-Distributed SVRG for High-Dimensional Linear Classification

Feb 10, 2018
Gong-Duo Zhang, Shen-Yi Zhao, Hao Gao, Wu-Jun Li


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Robust Frequent Directions with Application in Online Learning

Dec 25, 2017
Luo Luo, Cheng Chen, Zhihua Zhang, Wu-Jun Li, Tong Zhang


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Asymmetric Deep Supervised Hashing

Jul 26, 2017
Qing-Yuan Jiang, Wu-Jun Li


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ParaGraphE: A Library for Parallel Knowledge Graph Embedding

Apr 05, 2017
Xiao-Fan Niu, Wu-Jun Li


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Lock-Free Optimization for Non-Convex Problems

Dec 11, 2016
Shen-Yi Zhao, Gong-Duo Zhang, Wu-Jun Li


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SCOPE: Scalable Composite Optimization for Learning on Spark

Dec 11, 2016
Shen-Yi Zhao, Ru Xiang, Ying-Hao Shi, Peng Gao, Wu-Jun Li


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A Proximal Stochastic Quasi-Newton Algorithm

Nov 16, 2016
Luo Luo, Zihao Chen, Zhihua Zhang, Wu-Jun Li


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Full-Time Supervision based Bidirectional RNN for Factoid Question Answering

Jun 21, 2016
Dong Xu, Wu-Jun Li

* 9 pages 

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Feature Learning based Deep Supervised Hashing with Pairwise Labels

Apr 21, 2016
Wu-Jun Li, Sheng Wang, Wang-Cheng Kang

* IJCAI 2016 

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A New Relaxation Approach to Normalized Hypergraph Cut

Nov 09, 2015
Cong Xie, Wu-Jun Li, Zhihua Zhang


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A Parallel algorithm for $\mathcal{X}$-Armed bandits

Oct 26, 2015
Cheng Chen, Shuang Liu, Zhihua Zhang, Wu-Jun Li


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Fast Asynchronous Parallel Stochastic Gradient Decent

Aug 24, 2015
Shen-Yi Zhao, Wu-Jun Li


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