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Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability


Sep 16, 2022
Mengdi Xu, Zuxin Liu, Peide Huang, Wenhao Ding, Zhepeng Cen, Bo Li, Ding Zhao

* 36 pages, 5 figures 

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Federated Pruning: Improving Neural Network Efficiency with Federated Learning


Sep 14, 2022
Rongmei Lin, Yonghui Xiao, Tien-Ju Yang, Ding Zhao, Li Xiong, Giovanni Motta, Françoise Beaufays

* To appear in INTERSPEECH 2022 

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Privacy of Autonomous Vehicles: Risks, Protection Methods, and Future Directions


Sep 08, 2022
Chulin Xie, Zhong Cao, Yunhui Long, Diange Yang, Ding Zhao, Bo Li


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An Empirical Exploration of Cross-domain Alignment between Language and Electroencephalogram


Aug 21, 2022
William Han, Jielin Qiu, Jiacheng Zhu, Mengdi Xu, Douglas Weber, Bo Li, Ding Zhao


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GeoECG: Data Augmentation via Wasserstein Geodesic Perturbation for Robust Electrocardiogram Prediction


Aug 10, 2022
Jiacheng Zhu, Jielin Qiu, Zhuolin Yang, Douglas Weber, Michael A. Rosenberg, Emerson Liu, Bo Li, Ding Zhao

* Machine Learning for Healthcare 2022, JMLR Volume 182 
* 26 pages, Figure 13, Machine Learning for Healthcare 2022 

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Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning


Jul 19, 2022
Wenhao Ding, Haohong Lin, Bo Li, Ding Zhao

* 28 pages, 5 figures, under review 

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Prompting Decision Transformer for Few-Shot Policy Generalization


Jun 27, 2022
Mengdi Xu, Yikang Shen, Shun Zhang, Yuchen Lu, Ding Zhao, Joshua B. Tenenbaum, Chuang Gan

* ICML 2022. Project page: https://mxu34.github.io/PromptDT/ 

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SafeBench: A Benchmarking Platform for Safety Evaluation of Autonomous Vehicles


Jun 20, 2022
Chejian Xu, Wenhao Ding, Weijie Lyu, Zuxin Liu, Shuai Wang, Yihan He, Hanjiang Hu, Ding Zhao, Bo Li


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