Qiying Yu, Jieming Lou, Xianyuan Zhan, Qizhang Li, Wangmeng Zuo, Yang Liu, and Jingjing Liu, Adversarial Contrastive Learning via Asymmetric InfoNCE, ECCV 2022. Bu Jin, Xinyu Liu, Yupeng Zheng, Pengfei Li, Hao Zhao, Tong Zhang, Yuhang Zheng, Guyue Zhou, and Jingjing Liu, ADAPT: Action-aware Driving Caption Transformer, ICRA 2023.
#Air chen li jing Offline
Jianxiong Li, Xiao Hu, Haoran Xu, Jingjing Liu, Xianyuan Zhan, Qing-Shan Jia, Ya-Qin Zhang, Mind the Gap: Offline Policy Optimization for Imperfect Rewards, ICLR 2023. Jianxiong Li, Xianyuan Zhan, Haoran Xu, Xiangyu Zhu, Jingjing Liu, and Ya-Qin Zhang, When Data Geometry Meets Deep Function: Generalizing Offline Reinforcement Learning, ICLR 2023.
Qiying Yu, Yang Liu, Yimu Wang, Ke Xu, and Jingjing Liu, Multimodal Federated Learning via Contrastive Representation Ensemble, ICLR 2023. Tongda Xu, Han Gao, Yuanyuan Wang, Hongwei Qin, Yan Wang, Jingjing Liu, Ya-Qin Zhang, Correcting the Sub-optimal Bit Allocation, ICML 2023.
Hideaki Takahashi, Jingjing Liu, Yang Liu, Breaching FedMD: Image Recovery via Paired-Logits Inversion Attack, CVPR 2023. Multimodal AI, Self-supervised Learning, Reinforcement Learning She also holds an MBA degree from Judge Business School (JBS) at University of Cambridge in the UK. Liu received the PhD degree in Computer Science from MIT EECS. Liu was Research Scientist at MIT CSAIL in Cambridge, US, with the research focus on Spoken Dialogue Systems. Liu was Senior Principal Research Manager at Microsoft in Redmond, US, leading a research group on Vision-Language Multimodal AI. Jingjing Liu is Professor, Principal Investigator at Tsinghua University.
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