Shuai Li

Towards Understanding the Regularization of Adversarial Robustness on Neural Networks

Nov 15, 2020
Yuxin Wen, Shuai Li, Kui Jia

* Published as a conference paper at ICML 2020

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Online Influence Maximization under Linear Threshold Model

Nov 12, 2020
Shuai Li, Fang Kong, Kejie Tang, Qizhi Li, Wei Chen

* 29 pages

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A Framework of Combining Short-Term Spatial/Frequency Feature Extraction and Long-Term IndRNN for Activity Recognition

Nov 06, 2020
Beidi Zhao, Shuai Li, Yanbo Gao, Chuankun Li, Wanqing Li

* 19 pages, 11 figures

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IndRNN Based Long-term Temporal Recognition in the Spatial and Frequency Domain

Nov 01, 2020
Beidi Zhao, Shuai Li, Yanbo Gao, Chuankun Li, Wanqing Li, Jianjun Lei

* 18 pages, 11 figures

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EqSpike: Spike-driven Equilibrium Propagation for Neuromorphic Implementations

Oct 15, 2020
Erwann Martin, Maxence Ernoult, Jérémie Laydevant, Shuai Li, Damien Querlioz, Teodora Petrisor, Julie Grollier

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Deforming the Loss Surface to Affect the Behaviour of the Optimizer

Sep 14, 2020
Liangming Chen, Long Jin, Xiujuan Du, Shuai Li, Mei Liu

* arXiv admin note: substantial text overlap with arXiv:2007.12515

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A Deep Learning-Based Autonomous RobotManipulator for Sorting Application

Sep 08, 2020
Hoang-Dung Bui, Hai Nguyen, Hung Manh La, Shuai Li

* IEEE Robotic Computing IRC2020

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UDC 2020 Challenge on Image Restoration of Under-Display Camera: Methods and Results

Aug 18, 2020
Yuqian Zhou, Michael Kwan, Kyle Tolentino, Neil Emerton, Sehoon Lim, Tim Large, Lijiang Fu, Zhihong Pan, Baopu Li, Qirui Yang, Yihao Liu, Jigang Tang, Tao Ku, Shibin Ma, Bingnan Hu, Jiarong Wang, Densen Puthussery, Hrishikesh P S, Melvin Kuriakose, Jiji C V, Varun Sundar, Sumanth Hegde, Divya Kothandaraman, Kaushik Mitra, Akashdeep Jassal, Nisarg A. Shah, Sabari Nathan, Nagat Abdalla Esiad Rahel, Dafan Chen, Shichao Nie, Shuting Yin, Chengconghui Ma, Haoran Wang, Tongtong Zhao, Shanshan Zhao, Joshua Rego, Huaijin Chen, Shuai Li, Zhenhua Hu, Kin Wai Lau, Lai-Man Po, Dahai Yu, Yasar Abbas Ur Rehman, Yiqun Li, Lianping Xing

* 15 pages

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Rethinking of the Image Salient Object Detection: Object-level Semantic Saliency Re-ranking First, Pixel-wise Saliency Refinement Latter

Aug 10, 2020
Zhenyu Wu, Shuai Li, Chenglizhao Chen, Aimin Hao, Hong Qin

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Knowing Depth Quality In Advance: A Depth Quality Assessment Method For RGB-D Salient Object Detection

Aug 07, 2020
Xuehao Wang, Shuai Li, Chenglizhao Chen, Aimin Hao, Hong Qin

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Recursive Multi-model Complementary Deep Fusion forRobust Salient Object Detection via Parallel Sub Networks

Aug 07, 2020
Zhenyu Wu, Shuai Li, Chenglizhao Chen, Aimin Hao, Hong Qin

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Data-Level Recombination and Lightweight Fusion Scheme for RGB-D Salient Object Detection

Aug 07, 2020
Xuehao Wang, Shuai Li, Chenglizhao Chen, Yuming Fang, Aimin Hao, Hong Qin

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A Deeper Look at Salient Object Detection: Bi-stream Network with a Small Training Dataset

Aug 07, 2020
Zhenyu Wu, Shuai Li, Chenglizhao Chen, Aimin Hao, Hong Qin

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A Plug-and-play Scheme to Adapt Image Saliency Deep Model for Video Data

Aug 02, 2020
Yunxiao Li, Shuai Li, Chenglizhao Chen, Aimin Hao, Hong Qin

* 12 pages, 10 figures, and, this paper is currently in peer review in IEEE TCSVT

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Deforming the Loss Surface

Jul 24, 2020
Liangming Chen, Long Jin, Xiujuan Du, Shuai Li, Mei Liu

* 2020NIPS

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Fast Distributed Bandits for Online Recommendation Systems

Jul 16, 2020
Kanak Mahadik, Qingyun Wu, Shuai Li, Amit Sabne

* 13 pages, Appeared at ACM International Conference on Supercomputing 2020 (ICS)

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Learning Various Length Dependence by Dual Recurrent Neural Networks

May 28, 2020
Chenpeng Zhang, Shuai Li, Mao Ye, Ce Zhu, Xue Li

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On the interplay between physical and content priors in deep learning for computational imaging

Apr 14, 2020
Mo Deng, Shuai Li, Iksung Kang, Nicholas X. Fang, George Barbastathis

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A Novel and Efficient Tumor Detection Framework for Pancreatic Cancer via CT Images

Feb 11, 2020
Zhengdong Zhang, Shuai Li, Ziyang Wang, Yun Lu

* 5 pages, 5 figures

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Adaptive fractional order graph neural network

Jan 05, 2020
Zijian Liu, Chunbo Luo, Shuai Li

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The Gambler's Problem and Beyond

Dec 31, 2019
Baoxiang Wang, Shuai Li, Jiajin Li, Siu On Chan

* International Conference on Learning Representations (ICLR) 2020

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Contextual Combinatorial Conservative Bandits

Nov 26, 2019
Xiaojin Zhang, Shuai Li, Weiwen Liu

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Deep Independently Recurrent Neural Network (IndRNN)

Oct 21, 2019
Shuai Li, Wanqing Li, Chris Cook, Yanbo Gao, Ce Zhu

* Extension of the CVPR2018 paper "Independently Recurrent Neural Network (IndRNN): Building A Longer and Deeper RNN", with significant improvements as described in the end of Section I. arXiv admin note: substantial text overlap with arXiv:1803.04831

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Shuai Li

Towards Understanding the Regularization of Adversarial Robustness on Neural Networks

Online Influence Maximization under Linear Threshold Model

A Framework of Combining Short-Term Spatial/Frequency Feature Extraction and Long-Term IndRNN for Activity Recognition

IndRNN Based Long-term Temporal Recognition in the Spatial and Frequency Domain

EqSpike: Spike-driven Equilibrium Propagation for Neuromorphic Implementations

Deforming the Loss Surface to Affect the Behaviour of the Optimizer

A Deep Learning-Based Autonomous RobotManipulator for Sorting Application

UDC 2020 Challenge on Image Restoration of Under-Display Camera: Methods and Results

Rethinking of the Image Salient Object Detection: Object-level Semantic Saliency Re-ranking First, Pixel-wise Saliency Refinement Latter

Knowing Depth Quality In Advance: A Depth Quality Assessment Method For RGB-D Salient Object Detection

Recursive Multi-model Complementary Deep Fusion forRobust Salient Object Detection via Parallel Sub Networks

Data-Level Recombination and Lightweight Fusion Scheme for RGB-D Salient Object Detection

A Deeper Look at Salient Object Detection: Bi-stream Network with a Small Training Dataset

A Plug-and-play Scheme to Adapt Image Saliency Deep Model for Video Data

Deforming the Loss Surface

Fast Distributed Bandits for Online Recommendation Systems

Learning Various Length Dependence by Dual Recurrent Neural Networks

On the interplay between physical and content priors in deep learning for computational imaging

A Novel and Efficient Tumor Detection Framework for Pancreatic Cancer via CT Images

Adaptive fractional order graph neural network

The Gambler's Problem and Beyond

Contextual Combinatorial Conservative Bandits

Deep Independently Recurrent Neural Network (IndRNN)

Learning to Synthesize: Robust Phase Retrieval at Low Photon counts

Orthogonal Deep Neural Networks

Convergence analysis of beetle antennae search algorithm and its applications

Stochastic Online Learning with Probabilistic Graph Feedback

Improved Algorithm on Online Clustering of Bandits

A Survey on Blockchain Technology and Its Potential Applications in Distributed Control and Cooperative Robots