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Toward Compact Parameter Representations for Architecture-Agnostic Neural Network Compression


Nov 19, 2021
Yuezhou Sun, Wenlong Zhao, Lijun Zhang, Xiao Liu, Hui Guan, Matei Zaharia


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AutoMTL: A Programming Framework for Automated Multi-Task Learning


Oct 25, 2021
Lijun Zhang, Xiao Liu, Hui Guan

* 16 pages, 9 figures 

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HRegNet: A Hierarchical Network for Large-scale Outdoor LiDAR Point Cloud Registration


Jul 26, 2021
Fan Lu, Guang Chen, Yinlong Liu, Lijun Zhang, Sanqing Qu, Shu Liu, Rongqi Gu

* Accepted to ICCV 2021 

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Rethinking Hard-Parameter Sharing in Multi-Task Learning


Jul 23, 2021
Lijun Zhang, Qizheng Yang, Xiao Liu, Hui Guan

* 15 pages, 6 figures 

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Probabilistic Verification of Neural Networks Against Group Fairness


Jul 18, 2021
Bing Sun, Jun Sun, Ting Dai, Lijun Zhang


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Momentum Accelerates the Convergence of Stochastic AUPRC Maximization


Jul 02, 2021
Guanghui Wang, Ming Yang, Lijun Zhang, Tianbao Yang


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Ensemble Defense with Data Diversity: Weak Correlation Implies Strong Robustness


Jun 05, 2021
Renjue Li, Hanwei Zhang, Pengfei Yang, Cheng-Chao Huang, Aimin Zhou, Bai Xue, Lijun Zhang


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A Simple yet Universal Strategy for Online Convex Optimization


May 14, 2021
Lijun Zhang, Guanghui Wang, Jinfeng Yi, Tianbao Yang


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ACM-Net: Action Context Modeling Network for Weakly-Supervised Temporal Action Localization


Apr 07, 2021
Sanqing Qu, Guang Chen, Zhijun Li, Lijun Zhang, Fan Lu, Alois Knoll

* Submitted to TIP. Code is available at https://github.com/ispc-lab/ACM-Net 

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Online Convex Optimization with Continuous Switching Constraint


Mar 21, 2021
Guanghui Wang, Yuanyu Wan, Tianbao Yang, Lijun Zhang

* 18 pages, 2 figures 

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Online Strongly Convex Optimization with Unknown Delays


Mar 21, 2021
Yuanyu Wan, Wei-Wei Tu, Lijun Zhang


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Projection-free Distributed Online Learning with Strongly Convex Losses


Mar 20, 2021
Yuanyu Wan, Guanghui Wang, Lijun Zhang


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Non-stationary Linear Bandits Revisited


Mar 09, 2021
Peng Zhao, Lijun Zhang

* 9 pages 

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Revisiting Smoothed Online Learning


Feb 13, 2021
Lijun Zhang, Wei Jiang, Shiyin Lu, Tianbao Yang

* Under review 

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NAST: Non-Autoregressive Spatial-Temporal Transformer for Time Series Forecasting


Feb 10, 2021
Kai Chen, Guang Chen, Dan Xu, Lijun Zhang, Yuyao Huang, Alois Knoll

* 10 pages, 4 figures 

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Probabilistic Robustness Analysis for DNNs based on PAC Learning


Jan 25, 2021
Renjue Li, Pengfei Yang, Cheng-Chao Huang, Bai Xue, Lijun Zhang


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SID-NISM: A Self-supervised Low-light Image Enhancement Framework


Dec 16, 2020
Lijun Zhang, Xiao Liu, Erik Learned-Miller, Hui Guan

* 11 pages, 9 figures 

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How does Weight Correlation Affect the Generalisation Ability of Deep Neural Networks


Oct 17, 2020
Gaojie Jin, Xinping Yi, Liang Zhang, Lijun Zhang, Sven Schewe, Xiaowei Huang

* Accpeted by NeurIPS 2020 conference 

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Projection-free Online Learning over Strongly Convex Sets


Oct 16, 2020
Yuanyu Wan, Lijun Zhang


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Improving Neural Network Verification through Spurious Region Guided Refinement


Oct 15, 2020
Pengfei Yang, Renjue Li, Jianlin Li, Cheng-Chao Huang, Jingyi Wang, Jun Sun, Bai Xue, Lijun Zhang


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Approximate Multiplication of Sparse Matrices with Limited Space


Sep 08, 2020
Yuanyu Wan, Lijun Zhang


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Dynamic Regret of Convex and Smooth Functions


Jul 07, 2020
Peng Zhao, Yu-Jie Zhang, Lijun Zhang, Zhi-Hua Zhou


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Proving Non-Inclusion of Büchi Automata based on Monte Carlo Sampling


Jul 07, 2020
Yong Li, Andrea Turrini, Xuechao Sun, Lijun Zhang

* Accepted to ATVA 2020; typos corrected; authors corrected 

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Improved Analysis for Dynamic Regret of Strongly Convex and Smooth Functions


Jun 10, 2020
Peng Zhao, Lijun Zhang

* 8 pages 

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On the Power of Unambiguity in Büchi Complementation


May 18, 2020
Yong Li, Moshe Y. Vardi, Lijun Zhang


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Nearly Optimal Regret for Stochastic Linear Bandits with Heavy-Tailed Payoffs


Apr 28, 2020
Bo Xue, Guanghui Wang, Yimu Wang, Lijun Zhang


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Minimizing Dynamic Regret and Adaptive Regret Simultaneously


Feb 06, 2020
Lijun Zhang, Shiyin Lu, Tianbao Yang


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