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Li Zhao

Senior Member, IEEE

Tiered Reinforcement Learning: Pessimism in the Face of Uncertainty and Constant Regret



Jiawei Huang , Li Zhao , Tao Qin , Wei Chen , Nan Jiang , Tie-Yan Liu

* 38 pages 

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Fetal Brain Tissue Annotation and Segmentation Challenge Results



Kelly Payette , Hongwei Li , Priscille de Dumast , Roxane Licandro , Hui Ji , Md Mahfuzur Rahman Siddiquee , Daguang Xu , Andriy Myronenko , Hao Liu , Yuchen Pei , Lisheng Wang , Ying Peng , Juanying Xie , Huiquan Zhang , Guiming Dong , Hao Fu , Guotai Wang , ZunHyan Rieu , Donghyeon Kim , Hyun Gi Kim , Davood Karimi , Ali Gholipour , Helena R. Torres , Bruno Oliveira , João L. Vilaça , Yang Lin , Netanell Avisdris , Ori Ben-Zvi , Dafna Ben Bashat , Lucas Fidon , Michael Aertsen , Tom Vercauteren , Daniel Sobotka , Georg Langs , Mireia Alenyà , Maria Inmaculada Villanueva , Oscar Camara , Bella Specktor Fadida , Leo Joskowicz , Liao Weibin , Lv Yi , Li Xuesong , Moona Mazher , Abdul Qayyum , Domenec Puig , Hamza Kebiri , Zelin Zhang , Xinyi Xu , Dan Wu , KuanLun Liao , YiXuan Wu , JinTai Chen , Yunzhi Xu , Li Zhao , Lana Vasung , Bjoern Menze , Meritxell Bach Cuadra , Andras Jakab

* Results from FeTA Challenge 2021, held at MICCAI; Manuscript submitted 

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Towards Deployment-Efficient Reinforcement Learning: Lower Bound and Optimality



Jiawei Huang , Jinglin Chen , Li Zhao , Tao Qin , Nan Jiang , Tie-Yan Liu

* 49 Pages; ICLR 2022 

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ERNIE 3.0 Titan: Exploring Larger-scale Knowledge Enhanced Pre-training for Language Understanding and Generation



Shuohuan Wang , Yu Sun , Yang Xiang , Zhihua Wu , Siyu Ding , Weibao Gong , Shikun Feng , Junyuan Shang , Yanbin Zhao , Chao Pang , Jiaxiang Liu , Xuyi Chen , Yuxiang Lu , Weixin Liu , Xi Wang , Yangfan Bai , Qiuliang Chen , Li Zhao , Shiyong Li , Peng Sun , Dianhai Yu , Yanjun Ma , Hao Tian , Hua Wu , Tian Wu , Wei Zeng , Ge Li , Wen Gao , Haifeng Wang

* arXiv admin note: text overlap with arXiv:2107.02137 

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Curriculum Offline Imitation Learning



Minghuan Liu , Hanye Zhao , Zhengyu Yang , Jian Shen , Weinan Zhang , Li Zhao , Tie-Yan Liu

* 19 pages (7 pages of supplementary), 11 figures. Published at 35th Conference on Neural Information Processing Systems (NeurIPS 2021) 

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Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning



Jongjin Park , Younggyo Seo , Chang Liu , Li Zhao , Tao Qin , Jinwoo Shin , Tie-Yan Liu

* NeurIPS 2021. First two authors contributed equally 

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Distributional Reinforcement Learning for Multi-Dimensional Reward Functions



Pushi Zhang , Xiaoyu Chen , Li Zhao , Wei Xiong , Tao Qin , Tie-Yan Liu

* Accepted by NeurIPS 2021 

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Return-Based Contrastive Representation Learning for Reinforcement Learning



Guoqing Liu , Chuheng Zhang , Li Zhao , Tao Qin , Jinhua Zhu , Jian Li , Nenghai Yu , Tie-Yan Liu

* ICLR 2021 

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A Multi-stream Convolutional Neural Network for Micro-expression Recognition Using Optical Flow and EVM



Jinming Liu , Ke Li , Baolin Song , Li Zhao

* ICEIC 2020, Barcelona, Spain, January 2020 

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Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge



Yue Sun , Kun Gao , Zhengwang Wu , Zhihao Lei , Ying Wei , Jun Ma , Xiaoping Yang , Xue Feng , Li Zhao , Trung Le Phan , Jitae Shin , Tao Zhong , Yu Zhang , Lequan Yu , Caizi Li , Ramesh Basnet , M. Omair Ahmad , M. N. S. Swamy , Wenao Ma , Qi Dou , Toan Duc Bui , Camilo Bermudez Noguera , Bennett Landman , Ian H. Gotlib , Kathryn L. Humphreys , Sarah Shultz , Longchuan Li , Sijie Niu , Weili Lin , Valerie Jewells , Gang Li , Dinggang Shen , Li Wang


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