Liu, Jingjing

60 publications

ICLR 2025 A Periodic Bayesian Flow for Material Generation Hanlin Wu, Yuxuan Song, Jingjing Gong, Ziyao Cao, Yawen Ouyang, Jianbing Zhang, Hao Zhou, Wei-Ying Ma, Jingjing Liu

ICML 2025 Contrastive Private Data Synthesis via Weighted Multi-PLM Fusion Tianyuan Zou, Yang Liu, Peng Li, Yufei Xiong, Jianqing Zhang, Jingjing Liu, Xiaozhou Ye, Ye Ouyang, Ya-Qin Zhang

ICLRW 2025 Contrastive Private Data Synthesis via Weighted Multi-PLM Fusion Tianyuan Zou, Yang Liu, Peng Li, Yufei Xiong, Jianqing Zhang, Jingjing Liu, Ye Ouyang, Xiaozhou Ye, Yaqin Zhang

NeurIPS 2025 DAPO: An Open-Source LLM Reinforcement Learning System at Scale Qiying Yu, Zheng Zhang, Ruofei Zhu, Yufeng Yuan, Xiaochen Zuo, YuYue, Weinan Dai, Tiantian Fan, Gaohong Liu, Juncai Liu, LingJun Liu, Xin Liu, Haibin Lin, Zhiqi Lin, Bole Ma, Guangming Sheng, Yuxuan Tong, Chi Zhang, Mofan Zhang, Ru Zhang, Wang Zhang, Hang Zhu, Jinhua Zhu, Jiaze Chen, Jiangjie Chen, Chengyi Wang, Hongli Yu, Yuxuan Song, Xiangpeng Wei, Hao Zhou, Jingjing Liu, Wei-Ying Ma, Ya-Qin Zhang, Lin Yan, Yonghui Wu, Mingxuan Wang

ICLR 2025 Diffusion-Based Planning for Autonomous Driving with Flexible Guidance Yinan Zheng, Ruiming Liang, Kexin Zheng, Jinliang Zheng, Liyuan Mao, Jianxiong Li, Weihao Gu, Rui Ai, Shengbo Eben Li, Xianyuan Zhan, Jingjing Liu

ICLRW 2025 Diffusion-Based Planning for Autonomous Driving with Flexible Guidance Yinan Zheng, Ruiming Liang, Kexin Zheng, Jinliang Zheng, Liyuan Mao, Jianxiong Li, Weihao Gu, Rui Ai, Shengbo Eben Li, Xianyuan Zhan, Jingjing Liu

NeurIPS 2025 Flow Matching-Based Autonomous Driving Planning with Advanced Interactive Behavior Modeling Tianyi Tan, Yinan Zheng, Ruiming Liang, Zexu Wang, Kexin Zheng, Jinliang Zheng, Jianxiong Li, Xianyuan Zhan, Jingjing Liu

NeurIPS 2025 MOF-BFN: Metal-Organic Frameworks Structure Prediction via Bayesian Flow Networks Rui Jiao, Hanlin Wu, Wenbing Huang, Yuxuan Song, Yawen Ouyang, Yu Rong, Tingyang Xu, Pengju Wang, Hao Zhou, Wei-Ying Ma, Jingjing Liu, Yang Liu

NeurIPS 2025 Rationalized All-Atom Protein Design with Unified Multi-Modal Bayesian Flow Hanlin Wu, Yuxuan Song, Zhe Zhang, Zhilong Zhang, Hao Zhou, Wei-Ying Ma, Jingjing Liu

ICLR 2025 Rethinking Diffusion Posterior Sampling: From Conditional Score Estimator to Maximizing a Posterior Tongda Xu, Xiyan Cai, Xinjie Zhang, Xingtong Ge, Dailan He, Ming Sun, Jingjing Liu, Ya-Qin Zhang, Jian Li, Yan Wang

ICLRW 2025 ShortListing Model: A Streamlined Simplex Diffusion for Biological Sequence Generation Yuxuan Song, Zhe Zhang, Yu Pei, Jingjing Gong, Mingxuan Wang, Hao Zhou, Jingjing Liu, Wei-Ying Ma

NeurIPS 2025 ShortListing Model: A Streamlined Simplex Diffusion for Discrete Variable Generation Yuxuan Song, Zhe Zhang, Yu Pei, Jingjing Gong, Qiying Yu, Zheng Zhang, Mingxuan Wang, Hao Zhou, Jingjing Liu, Wei-Ying Ma

CVPR 2025 Universal Actions for Enhanced Embodied Foundation Models Jinliang Zheng, Jianxiong Li, Dongxiu Liu, Yinan Zheng, Zhihao Wang, Zhonghong Ou, Yu Liu, Jingjing Liu, Ya-Qin Zhang, Xianyuan Zhan

ICLRW 2025 Universal Actions for Enhanced Embodied Foundation Models Jinliang Zheng, Jianxiong Li, Dongxiu Liu, Yinan Zheng, Zhihao Wang, Zhonghong Ou, Yu Liu, Jingjing Liu, Ya-Qin Zhang, Xianyuan Zhan

CVPR 2024 CapsFusion: Rethinking Image-Text Data at Scale Qiying Yu, Quan Sun, Xiaosong Zhang, Yufeng Cui, Fan Zhang, Yue Cao, Xinlong Wang, Jingjing Liu

ICML 2024 DecisionNCE: Embodied Multimodal Representations via Implicit Preference Learning 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

ICMLW 2024 DecisionNCE: Embodied Multimodal Representations via Implicit Preference Learning 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

ICLR 2024 Emu: Generative Pretraining in Multimodality Quan Sun, Qiying Yu, Yufeng Cui, Fan Zhang, Xiaosong Zhang, Yueze Wang, Hongcheng Gao, Jingjing Liu, Tiejun Huang, Xinlong Wang

CVPR 2024 Generative Multimodal Models Are In-Context Learners Quan Sun, Yufeng Cui, Xiaosong Zhang, Fan Zhang, Qiying Yu, Yueze Wang, Yongming Rao, Jingjing Liu, Tiejun Huang, Xinlong Wang

ICLR 2024 Idempotence and Perceptual Image Compression Tongda Xu, Ziran Zhu, Dailan He, Yanghao Li, Lina Guo, Yuanyuan Wang, Zhe Wang, Hongwei Qin, Yan Wang, Jingjing Liu, Ya-Qin Zhang

NeurIPS 2024 Instruction-Guided Visual Masking Jinliang Zheng, Jianxiong Li, Sijie Cheng, Yinan Zheng, Jiaming Li, Jihao Liu, Yu Liu, Jingjing Liu, Xianyuan Zhan

ICMLW 2024 Instruction-Guided Visual Masking Jinliang Zheng, Jianxiong Li, Sijie Cheng, Yinan Zheng, Jiaming Li, Jihao Liu, Yu Liu, Jingjing Liu, Xianyuan Zhan

NeurIPS 2024 Mesa-Extrapolation: A Weave Position Encoding Method for Enhanced Extrapolation in LLMs Xin Ma, Yang Liu, Jingjing Liu, Xiaoxu Ma

ICLR 2024 Multimodal Molecular Pretraining via Modality Blending Qiying Yu, Yudi Zhang, Yuyan Ni, Shikun Feng, Yanyan Lan, Hao Zhou, Jingjing Liu

NeurIPSW 2024 Robo-MUTUAL: Robotic Multimodal Task Specification via Unimodal Learning Jianxiong Li, Zhihao Wang, Jinliang Zheng, Xiaoai Zhou, Guanming Wang, Guanglu Song, Yu Liu, Jingjing Liu, Ya-Qin Zhang, Junzhi Yu, Xianyuan Zhan

ICLR 2024 Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model Yinan Zheng, Jianxiong Li, Dongjie Yu, Yujie Yang, Shengbo Eben Li, Xianyuan Zhan, Jingjing Liu

ICLR 2024 Unified Generative Modeling of 3D Molecules with Bayesian Flow Networks Yuxuan Song, Jingjing Gong, Hao Zhou, Mingyue Zheng, Jingjing Liu, Wei-Ying Ma

ICML 2023 Bit Allocation Using Optimization Tongda Xu, Han Gao, Chenjian Gao, Yuanyuan Wang, Dailan He, Jinyong Pi, Jixiang Luo, Ziyu Zhu, Mao Ye, Hongwei Qin, Yan Wang, Jingjing Liu, Ya-Qin Zhang

CVPR 2023 Breaching FedMD: Image Recovery via Paired-Logits Inversion Attack Hideaki Takahashi, Jingjing Liu, Yang Liu

NeurIPS 2023 DrugCLIP: Contrastive Protein-Molecule Representation Learning for Virtual Screening Bowen Gao, Bo Qiang, Haichuan Tan, Yinjun Jia, Minsi Ren, Minsi Lu, Jingjing Liu, Wei-Ying Ma, Yanyan Lan

NeurIPS 2023 Idempotent Learned Image Compression with Right-Inverse Yanghao Li, Tongda Xu, Yan Wang, Jingjing Liu, Ya-Qin Zhang

CVPRW 2023 K-Means Clustering Based Feature Consistency Alignment for Label-Free Model Evaluation Shuyu Miao, Lin Zheng, Jingjing Liu, Hong Jin

ICLR 2023 Mind the Gap: Offline Policy Optimization for Imperfect Rewards Jianxiong Li, Xiao Hu, Haoran Xu, Jingjing Liu, Xianyuan Zhan, Qing-Shan Jia, Ya-Qin Zhang

ICLR 2023 Multimodal Federated Learning via Contrastive Representation Ensemble Qiying Yu, Yang Liu, Yimu Wang, Ke Xu, Jingjing Liu

WACV 2023 TVT: Transferable Vision Transformer for Unsupervised Domain Adaptation Jinyu Yang, Jingjing Liu, Ning Xu, Junzhou Huang

ICLR 2023 When Data Geometry Meets Deep Function: Generalizing Offline Reinforcement Learning Jianxiong Li, Xianyuan Zhan, Haoran Xu, Xiangyu Zhu, Jingjing Liu, Ya-Qin Zhang

ECCV 2022 Adversarial Contrastive Learning via Asymmetric InfoNCE Qiying Yu, Jieming Lou, Xianyuan Zhan, Qizhang Li, Wangmeng Zuo, Yang Liu, Jingjing Liu

TMLR 2022 Adversarial Feature Augmentation and Normalization for Visual Recognition Tianlong Chen, Yu Cheng, Zhe Gan, Jianfeng Wang, Lijuan Wang, Jingjing Liu, Zhangyang Wang

NeurIPSW 2022 Distance-Sensitive Offline Reinforcement Learning Jianxiong Li, Xianyuan Zhan, Haoran Xu, Xiangyu Zhu, Jingjing Liu, Ya-Qin Zhang

AAAI 2022 Efficient Robust Training via Backward Smoothing Jinghui Chen, Yu Cheng, Zhe Gan, Quanquan Gu, Jingjing Liu

AAAI 2022 Playing Lottery Tickets with Vision and Language Zhe Gan, Yen-Chun Chen, Linjie Li, Tianlong Chen, Yu Cheng, Shuohang Wang, Jingjing Liu, Lijuan Wang, Zicheng Liu

ICCV 2021 Adversarial VQA: A New Benchmark for Evaluating the Robustness of VQA Models Linjie Li, Jie Lei, Zhe Gan, Jingjing Liu

NeurIPS 2021 Data-Efficient GAN Training Beyond (Just) Augmentations: A Lottery Ticket Perspective Tianlong Chen, Yu Cheng, Zhe Gan, Jingjing Liu, Zhangyang Wang

AAAI 2021 FILTER: An Enhanced Fusion Method for Cross-Lingual Language Understanding Yuwei Fang, Shuohang Wang, Zhe Gan, Siqi Sun, Jingjing Liu

ICLR 2021 InfoBERT: Improving Robustness of Language Models from an Information Theoretic Perspective Boxin Wang, Shuohang Wang, Yu Cheng, Zhe Gan, Ruoxi Jia, Bo Li, Jingjing Liu

CVPR 2021 Less Is More: ClipBERT for Video-and-Language Learning via Sparse Sampling Jie Lei, Linjie Li, Luowei Zhou, Zhe Gan, Tamara L. Berg, Mohit Bansal, Jingjing Liu

ECML-PKDD 2021 MaxVA: Fast Adaptation of Step Sizes by Maximizing Observed Variance of Gradients Chen Zhu, Yu Cheng, Zhe Gan, Furong Huang, Jingjing Liu, Tom Goldstein

WACV 2021 Meta Module Network for Compositional Visual Reasoning Wenhu Chen, Zhe Gan, Linjie Li, Yu Cheng, William Wang, Jingjing Liu

NeurIPS 2021 The Elastic Lottery Ticket Hypothesis Xiaohan Chen, Yu Cheng, Shuohang Wang, Zhe Gan, Jingjing Liu, Zhangyang Wang

CVPR 2021 UC2: Universal Cross-Lingual Cross-Modal Vision-and-Language Pre-Training Mingyang Zhou, Luowei Zhou, Shuohang Wang, Yu Cheng, Linjie Li, Zhou Yu, Jingjing Liu

CVPR 2021 Wasserstein Contrastive Representation Distillation Liqun Chen, Dong Wang, Zhe Gan, Jingjing Liu, Ricardo Henao, Lawrence Carin

ECCV 2020 Behind the Scene: Revealing the Secrets of Pre-Trained Vision-and-Language Models Jize Cao, Zhe Gan, Yu Cheng, Licheng Yu, Yen-Chun Chen, Jingjing Liu

ICLR 2020 FreeLB: Enhanced Adversarial Training for Natural Language Understanding Chen Zhu, Yu Cheng, Zhe Gan, Siqi Sun, Tom Goldstein, Jingjing Liu

ICML 2020 Graph Optimal Transport for Cross-Domain Alignment Liqun Chen, Zhe Gan, Yu Cheng, Linjie Li, Lawrence Carin, Jingjing Liu

NeurIPS 2020 Large-Scale Adversarial Training for Vision-and-Language Representation Learning Zhe Gan, Yen-Chun Chen, Linjie Li, Chen Zhu, Yu Cheng, Jingjing Liu

AAAI 2020 Multi-Level Head-Wise Match and Aggregation in Transformer for Textual Sequence Matching Shuohang Wang, Yunshi Lan, Yi Tay, Jing Jiang, Jingjing Liu

ECCV 2020 UNITER: UNiversal Image-TExt Representation Learning Yen-Chun Chen, Linjie Li, Licheng Yu, Ahmed El Kholy Faisal Ahmed, Zhe Gan, Yu Cheng, Jingjing Liu

AAAI 2020 What Makes a Good Story? Designing Composite Rewards for Visual Storytelling Junjie Hu, Yu Cheng, Zhe Gan, Jingjing Liu, Jianfeng Gao, Graham Neubig

AAAI 2019 Switch-Based Active Deep Dyna-Q: Efficient Adaptive Planning for Task-Completion Dialogue Policy Learning Yuexin Wu, Xiujun Li, Jingjing Liu, Jianfeng Gao, Yiming Yang

WACV 2016 People Detection in Crowded Scenes by Context-Driven Label Propagation Jingjing Liu, Quanfu Fan, Sharath Pankanti, Dimitris N. Metaxas