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Interactive Medical Image Segmentation with Self-Adaptive Confidence Calibration


Nov 15, 2021
Wenhao Li, Qisen Xu, Chuyun Shen, Bin Hu, Fengping Zhu, Yuxin Li, Bo Jin, Xiangfeng Wang


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Major Depressive Disorder Recognition and Cognitive Analysis Based on Multi-layer Brain Functional Connectivity Networks


Nov 02, 2021
Xiaofang Sun, Xiangwei Zheng, Yonghui Xu, Lizhen Cui, Bin Hu

* International Workshop on AI for Cognitive and Physical Frailty Workshop in Conjunction with IJCAI 2021 (AIF-IJCAI'21) 

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Independent Encoder for Deep Hierarchical Unsupervised Image-to-Image Translation


Jul 06, 2021
Kai Ye, Yinru Ye, Minqiang Yang, Bin Hu


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SM-SGE: A Self-Supervised Multi-Scale Skeleton Graph Encoding Framework for Person Re-Identification


Jul 05, 2021
Haocong Rao, Xiping Hu, Jun Cheng, Bin Hu

* Accepted at ACMMM 2021 Main Track. Sole copyright holder is ACMMM. Codes are available at https://github.com/Kali-Hac/SM-SGE 

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Multi-Level Graph Encoding with Structural-Collaborative Relation Learning for Skeleton-Based Person Re-Identification


Jun 06, 2021
Haocong Rao, Shihao Xu, Xiping Hu, Jun Cheng, Bin Hu

* In IJCAI, 2021 
* Accepted at IJCAI 2021 Main Track. Sole copyright holder is IJCAI. Codes are available at https://github.com/Kali-Hac/MG-SCR 

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A Hybrid Wired/Wireless Deterministic Network for Smart Grid


May 13, 2021
Bin Hu, Hamid Gharavi


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Weakly-supervised Instance Segmentation via Class-agnostic Learning with Salient Images


Apr 04, 2021
Xinggang Wang, Jiapei Feng, Bin Hu, Qi Ding, Longjin Ran, Xiaoxin Chen, Wenyu Liu

* CVPR 2021 

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On Imitation Learning of Linear Control Policies: Enforcing Stability and Robustness Constraints via LMI Conditions


Mar 24, 2021
Aaron Havens, Bin Hu

* To appear in ACC 2021 

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Revisiting the Loss Weight Adjustment in Object Detection


Mar 18, 2021
Wenxin Yu, Bin Hu, Yucheng Hu, Tianxiang Lan, Yuanfan You, Dong Yin


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Derivative-Free Policy Optimization for Risk-Sensitive and Robust Control Design: Implicit Regularization and Sample Complexity


Jan 04, 2021
Kaiqing Zhang, Xiangyuan Zhang, Bin Hu, Tamer Başar


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Policy Optimization for Markovian Jump Linear Quadratic Control: Gradient-Based Methods and Global Convergence


Nov 24, 2020
Joao Paulo Jansch-Porto, Bin Hu, Geir Dullerud


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Prototypical Contrast and Reverse Prediction: Unsupervised Skeleton Based Action Recognition


Nov 14, 2020
Shihao Xu, Haocong Rao, Xiping Hu, Bin Hu

* Codes are available at https://github.com/Mikexu007/PCRP 

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A Self-Supervised Gait Encoding Approach with Locality-Awareness for 3D Skeleton Based Person Re-Identification


Sep 05, 2020
Haocong Rao, Siqi Wang, Xiping Hu, Mingkui Tan, Yi Guo, Jun Cheng, Bin Hu, Xinwang Liu

* Codes are available at https://github.com/Kali-Hac/Locality-Awareness-SGE. This article is an extended version of our conference (IJCAI-2020) paper at https://www.ijcai.org/proceedings/2020/0125. arXiv admin note: substantial text overlap with arXiv:2008.09435 

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Self-Supervised Gait Encoding with Locality-Aware Attention for Person Re-Identification


Aug 21, 2020
Haocong Rao, Siqi Wang, Xiping Hu, Mingkui Tan, Huang Da, Jun Cheng, Bin Hu

* In IJCAI, pages 898-905, 2020 
* Accepted at IJCAI 2020 Main Track. Sole copyright holder is IJCAI. Codes are available at https://github.com/Kali-Hac/SGE-LA 

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Augmented Skeleton Based Contrastive Action Learning with Momentum LSTM for Unsupervised Action Recognition


Aug 18, 2020
Haocong Rao, Shihao Xu, Xiping Hu, Jun Cheng, Bin Hu

* Our codes are available at https://github.com/Mikexu007/AS-CAL 

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Policy Learning of MDPs with Mixed Continuous/Discrete Variables: A Case Study on Model-Free Control of Markovian Jump Systems


Jun 04, 2020
Joao Paulo Jansch-Porto, Bin Hu, Geir Dullerud

* Accepted to L4DC 2020 

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Emotion Recognition From Gait Analyses: Current Research and Future Directions


Mar 13, 2020
Shihao Xu, Jing Fang, Xiping Hu, Edith Ngai, Yi Guo, Victor C. M. Leung, Jun Cheng, Bin Hu

* Submitted to a journal on 06-Aug-2019 

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MODMA dataset: a Multi-modal Open Dataset for Mental-disorder Analysis


Mar 05, 2020
Hanshu Cai, Yiwen Gao, Shuting Sun, Na Li, Fuze Tian, Han Xiao, Jianxiu Li, Zhengwu Yang, Xiaowei Li, Qinglin Zhao, Zhenyu Liu, Zhijun Yao, Minqiang Yang, Hong Peng, Jing Zhu, Xiaowei Zhang, Guoping Gao, Fang Zheng, Rui Li, Zhihua Guo, Rong Ma, Jing Yang, Lan Zhang, Xiping Hu, Yumin Li, Bin Hu


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A study of resting-state EEG biomarkers for depression recognition


Feb 23, 2020
Shuting Sun, Jianxiu Li, Huayu Chen, Tao Gong, Xiaowei Li, Bin Hu


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A Novel Decision Tree for Depression Recognition in Speech


Feb 22, 2020
Zhenyu Liu, Dongyu Wang, Lan Zhang, Bin Hu


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MODMA dataset: a Multi-model Open Dataset for Mental-disorder Analysis


Feb 20, 2020
Hanshu Cai, Yiwen Gao, Shuting Sun, Na Li, Fuze Tian, Han Xiao, Jianxiu Li, Zhengwu Yang, Xiaowei Li, Qinglin Zhao, Zhenyu Liu, Zhijun Yao, Minqiang Yang, Hong Peng, Jing Zhu, Xiaowei Zhang, Xiping Hu, Bin Hu


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Convergence Guarantees of Policy Optimization Methods for Markovian Jump Linear Systems


Feb 10, 2020
Joao Paulo Jansch-Porto, Bin Hu, Geir Dullerud

* Accepted to ACC 2020 

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Policy Optimization for $\mathcal{H}_2$ Linear Control with $\mathcal{H}_\infty$ Robustness Guarantee: Implicit Regularization and Global Convergence


Oct 21, 2019
Kaiqing Zhang, Bin Hu, Tamer Başar


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Supervised feature selection with orthogonal regression and feature weighting


Oct 09, 2019
Xia Wu, Xueyuan Xu, Jianhong Liu, Hailing Wang, Bin Hu, Feiping Nie


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Characterizing the Exact Behaviors of Temporal Difference Learning Algorithms Using Markov Jump Linear System Theory


Jun 18, 2019
Bin Hu, Usman Ahmed Syed

* Fixed a few minor typos 

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Identifying Illicit Accounts in Large Scale E-payment Networks -- A Graph Representation Learning Approach


Jun 13, 2019
Da Sun Handason Tam, Wing Cheong Lau, Bin Hu, Qiu Fang Ying, Dah Ming Chiu, Hong Liu


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Local Probabilistic Model for Bayesian Classification: a Generalized Local Classification Model


Dec 13, 2018
Chengsheng Mao, Lijuan Lu, Bin Hu


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