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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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Multi-attention Networks for Temporal Localization of Video-level Labels


Nov 15, 2019
Lijun Zhang, Srinath Nizampatnam, Ahana Gangopadhyay, Marcos V. Conde

* 7 pages, 3 figures; This work was presented at the 3rd Workshop on YouTube-8M Large-Scale Video Understanding, at the International Conference on Computer Vision (ICCV 2019) in Seoul, Korea 

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More Adaptive Algorithms for Tracking the Best Expert


Sep 05, 2019
Shiyin Lu, Lijun Zhang


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Stochastic Optimization for Non-convex Inf-Projection Problems


Aug 26, 2019
Yan Yan, Yi Xu, Lijun Zhang, Xiaoyu Wang, Tianbao Yang


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Bandit Convex Optimization in Non-stationary Environments


Jul 29, 2019
Peng Zhao, Guanghui Wang, Lijun Zhang, Zhi-Hua Zhou


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Dual Adaptivity: A Universal Algorithm for Minimizing the Adaptive Regret of Convex Functions


Jun 26, 2019
Lijun Zhang, Guanghui Wang, Wei-Wei Tu, Zhi-Hua Zhou


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Multi-Objective Generalized Linear Bandits


May 30, 2019
Shiyin Lu, Guanghui Wang, Yao Hu, Lijun Zhang


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