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Jingjing Liu

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Policy Bifurcation in Safe Reinforcement Learning

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Mar 28, 2024
Wenjun Zou, Yao Lyu, Jie Li, Yujie Yang, Shengbo Eben Li, Jingliang Duan, Xianyuan Zhan, Jingjing Liu, Yaqin Zhang, Keqiang Li

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Unified Generative Modeling of 3D Molecules via Bayesian Flow Networks

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Mar 17, 2024
Yuxuan Song, Jingjing Gong, Yanru Qu, Hao Zhou, Mingyue Zheng, Jingjing Liu, Wei-Ying Ma

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DecisionNCE: Embodied Multimodal Representations via Implicit Preference Learning

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Feb 28, 2024
Jianxiong Li, Jinliang Zheng, Yinan Zheng, Liyuan Mao, Xiao Hu, Sijie Cheng, Haoyi Niu, Jihao Liu, Yu Liu, Jingjing Liu, Ya-Qin Zhang, Xianyuan Zhan

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EMIFF: Enhanced Multi-scale Image Feature Fusion for Vehicle-Infrastructure Cooperative 3D Object Detection

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Feb 23, 2024
Zhe Wang, Siqi Fan, Xiaoliang Huo, Tongda Xu, Yan Wang, Jingjing Liu, Yilun Chen, Ya-Qin Zhang

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Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model

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Jan 19, 2024
Yinan Zheng, Jianxiong Li, Dongjie Yu, Yujie Yang, Shengbo Eben Li, Xianyuan Zhan, Jingjing Liu

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Idempotence and Perceptual Image Compression

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Jan 17, 2024
Tongda Xu, Ziran Zhu, Dailan He, Yanghao Li, Lina Guo, Yuanyuan Wang, Zhe Wang, Hongwei Qin, Yan Wang, Jingjing Liu, Ya-Qin Zhang

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Generative Multimodal Models are In-Context Learners

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Dec 20, 2023
Quan Sun, Yufeng Cui, Xiaosong Zhang, Fan Zhang, Qiying Yu, Zhengxiong Luo, Yueze Wang, Yongming Rao, Jingjing Liu, Tiejun Huang, Xinlong Wang

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Machine learning's own Industrial Revolution

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Nov 04, 2023
Yuan Luo, Song Han, Jingjing Liu

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CapsFusion: Rethinking Image-Text Data at Scale

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Nov 02, 2023
Qiying Yu, Quan Sun, Xiaosong Zhang, Yufeng Cui, Fan Zhang, Yue Cao, Xinlong Wang, Jingjing Liu

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DrugCLIP: Contrastive Protein-Molecule Representation Learning for Virtual Screening

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Oct 10, 2023
Bowen Gao, Bo Qiang, Haichuan Tan, Minsi Ren, Yinjun Jia, Minsi Lu, Jingjing Liu, Weiying Ma, Yanyan Lan

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