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Jinbo Bi

University of Connecticut

An Efficient Algorithm for Deep Stochastic Contextual Bandits

Apr 22, 2021
Tan Zhu, Guannan Liang, Chunjiang Zhu, Haining Li, Jinbo Bi

* Accepted by AAAI 2021 Appendix uploaded 

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Escaping Saddle Points with Stochastically Controlled Stochastic Gradient Methods

Mar 13, 2021
Guannan Liang, Qianqian Tong, Chunjiang Zhu, Jinbo Bi

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Discrete Graph Structure Learning for Forecasting Multiple Time Series

Feb 15, 2021
Chao Shang, Jie Chen, Jinbo Bi

* ICLR 2021. Code is available at 

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Federated Nonconvex Sparse Learning

Dec 31, 2020
Qianqian Tong, Guannan Liang, Tan Zhu, Jinbo Bi

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Effective Proximal Methods for Non-convex Non-smooth Regularized Learning

Oct 01, 2020
Guannan Liang, Qianqian Tong, Jiahao Ding, Miao Pan, Jinbo Bi

* Accepted by ICDM 2020, 24 pages 

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Effective Federated Adaptive Gradient Methods with Non-IID Decentralized Data

Sep 14, 2020
Qianqian Tong, Guannan Liang, Jinbo Bi

* 42 pages 

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MCMIA: Model Compression Against Membership Inference Attack in Deep Neural Networks

Aug 28, 2020
Yijue Wang, Chenghong Wang, Zigeng Wang, Shanglin Zhou, Hang Liu, Jinbo Bi, Caiwen Ding, Sanguthevar Rajasekaran

* Machine Learning (cs.LG); Cryptography and Security (cs.CR); Machine Learning (stat.ML) 

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Towards Plausible Differentially Private ADMM Based Distributed Machine Learning

Aug 11, 2020
Jiahao Ding, Jingyi Wang, Guannan Liang, Jinbo Bi, Miao Pan

* Comments: Accepted for publication in CIKM'20 

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Calibrating the Adaptive Learning Rate to Improve Convergence of ADAM

Sep 11, 2019
Qianqian Tong, Guannan Liang, Jinbo Bi

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Calibrating the Learning Rate for Adaptive Gradient Methods to Improve Generalization Performance

Aug 02, 2019
Qianqian Tong, Guannan Liang, Jinbo Bi

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End-to-end Structure-Aware Convolutional Networks for Knowledge Base Completion

Nov 15, 2018
Chao Shang, Yun Tang, Jing Huang, Jinbo Bi, Xiaodong He, Bowen Zhou

* The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI 2019) 

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Edge Attention-based Multi-Relational Graph Convolutional Networks

May 20, 2018
Chao Shang, Qinqing Liu, Ko-Shin Chen, Jiangwen Sun, Jin Lu, Jinfeng Yi, Jinbo Bi

* Haven't meet my expectations 

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A Survey on Multi-View Clustering

Apr 03, 2018
Guoqing Chao, Shiliang Sun, Jinbo Bi

* 17 pages, 4 figures 

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VIGAN: Missing View Imputation with Generative Adversarial Networks

Nov 01, 2017
Chao Shang, Aaron Palmer, Jiangwen Sun, Ko-Shin Chen, Jin Lu, Jinbo Bi

* 10 pages, 8 figures, conference 

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Classification of Neurological Gait Disorders Using Multi-task Feature Learning

Feb 01, 2017
Ioannis Papavasileiou, Wenlong Zhang, Xin Wang, Jinbo Bi, Li Zhang, Song Han

* shorter version of this paper is submitted to CHASE '17 conference 

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On Multiplicative Multitask Feature Learning

Oct 24, 2016
Xin Wang, Jinbo Bi, Shipeng Yu, Jiangwen Sun

* Advances in Neural Information Processing Systems 2014 

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