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Dropout's Dream Land: Generalization from Learned Simulators to Reality


Sep 17, 2021
Zac Wellmer, James T. Kwok

* Published at ECML PKDD 2021 

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Pyramidal Dense Attention Networks for Lightweight Image Super-Resolution


Jun 13, 2021
Huapeng Wu, Jie Gui, Jun Zhang, James T. Kwok, Zhihui Wei


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Feedback Pyramid Attention Networks for Single Image Super-Resolution


Jun 13, 2021
Huapeng Wu, Jie Gui, Jun Zhang, James T. Kwok, Zhihui Wei


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TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation


Jun 11, 2021
Haoang Chi, Feng Liu, Wenjing Yang, Long Lan, Tongliang Liu, Bo Han, William K. Cheung, James T. Kwok


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SparseBERT: Rethinking the Importance Analysis in Self-attention


Feb 25, 2021
Han Shi, Jiahui Gao, Xiaozhe Ren, Hang Xu, Xiaodan Liang, Zhenguo Li, James T. Kwok


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A Survey of Label-noise Representation Learning: Past, Present and Future


Nov 09, 2020
Bo Han, Quanming Yao, Tongliang Liu, Gang Niu, Ivor W. Tsang, James T. Kwok, Masashi Sugiyama

* The draft is kept updating; any comments and suggestions are welcome 

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Efficient Low-Rank Matrix Learning by Factorizable Nonconvex Regularization


Aug 22, 2020
Yaqing Wang, Quanming Yao, James T. Kwok


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Effective Decoding in Graph Auto-Encoder using Triadic Closure


Nov 26, 2019
Han Shi, Haozheng Fan, James T. Kwok

* Accepted by AAAI 2020 

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Multi-objective Neural Architecture Search via Predictive Network Performance Optimization


Nov 21, 2019
Han Shi, Renjie Pi, Hang Xu, Zhenguo Li, James T. Kwok, Tong Zhang


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Communication-Efficient Distributed Blockwise Momentum SGD with Error-Feedback


May 27, 2019
Shuai Zheng, Ziyue Huang, James T. Kwok


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Blockwise Adaptivity: Faster Training and Better Generalization in Deep Learning


May 23, 2019
Shuai Zheng, James T. Kwok


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General Convolutional Sparse Coding with Unknown Noise


Mar 08, 2019
Yaqing Wang, James T. Kwok, Lionel M. Ni


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Large-Scale Low-Rank Matrix Learning with Nonconvex Regularizers


Jul 23, 2018
Quanming Yao, James T. Kwok, Taifeng Wang, Tie-Yan Liu

* Accepted by TPAMI in 2018 (extension of ICDM-2015 conference paper arXiv:1512.00984) 

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Lightweight Stochastic Optimization for Minimizing Finite Sums with Infinite Data


Jun 08, 2018
Shuai Zheng, James T. Kwok

* To appear in ICML 2018 

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Online Convolutional Sparse Coding with Sample-Dependent Dictionary


Jun 07, 2018
Yaqing Wang, Quanming Yao, James T. Kwok, Lionel M. Ni

* Accepted by ICML-2018 

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Loss-aware Weight Quantization of Deep Networks


May 10, 2018
Lu Hou, James T. Kwok


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Loss-aware Binarization of Deep Networks


May 10, 2018
Lu Hou, Quanming Yao, James T. Kwok


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Power Law in Sparsified Deep Neural Networks


May 04, 2018
Lu Hou, James T. Kwok


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Scalable Online Convolutional Sparse Coding


Nov 02, 2017
Yaqing Wang, Quanming Yao, James T. Kwok, Lionel M. Ni


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Fast Learning with Nonconvex L1-2 Regularization


Jun 20, 2017
Quanming Yao, James T. Kwok, Xiawei Guo


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Multi-Label Learning with Global and Local Label Correlation


Apr 04, 2017
Yue Zhu, James T. Kwok, Zhi-Hua Zhou


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Stochastic Variance-Reduced ADMM


Oct 16, 2016
Shuai Zheng, James T. Kwok


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Learning of Generalized Low-Rank Models: A Greedy Approach


Jul 27, 2016
Quanming Yao, James T. Kwok


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Fast Nonsmooth Regularized Risk Minimization with Continuation


Feb 25, 2016
Shuai Zheng, Ruiliang Zhang, James T. Kwok

* AAAI-2016 

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Asynchronous Distributed Semi-Stochastic Gradient Optimization


Dec 04, 2015
Ruiliang Zhang, Shuai Zheng, James T. Kwok


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Fast Low-Rank Matrix Learning with Nonconvex Regularization


Dec 03, 2015
Quanming Yao, James T. Kwok, Wenliang Zhong

* Long version of conference paper appeared ICDM 2015 

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Convex and Scalable Weakly Labeled SVMs


Aug 22, 2013
Yu-Feng Li, Ivor W. Tsang, James T. Kwok, Zhi-Hua Zhou


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Fast Stochastic Alternating Direction Method of Multipliers


Aug 16, 2013
Leon Wenliang Zhong, James T. Kwok


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