Liu, Gang

20 publications

NeurIPS 2025 CQ-DINO: Mitigating Gradient Dilution via Category Queries for Vast Vocabulary Object Detection Zhichao Sun, Huazhang Hu, Yidong Ma, Gang Liu, Nemo Chen, Xu Tang, Yao Hu, Yongchao Xu

ICML 2025 Directed Graph Grammars for Sequence-Based Learning Michael Sun, Orion Foo, Gang Liu, Wojciech Matusik, Jie Chen

ICML 2025 Foundation Molecular Grammar: Multi-Modal Foundation Models Induce Interpretable Molecular Graph Languages Michael Sun, Weize Yuan, Gang Liu, Wojciech Matusik, Jie Chen

ICLR 2025 Learning Molecular Representation in a Cell Gang Liu, Srijit Seal, John Arevalo, Zhenwen Liang, Anne E Carpenter, Meng Jiang, Shantanu Singh

NeurIPS 2025 Learning Repetition-Invariant Representations for Polymer Informatics Yihan Zhu, Gang Liu, Eric Inae, Tengfei Luo, Meng Jiang

LoG 2025 Motif-Aware Attribute Masking for Molecular Graph Pre-Training Eric Inae, Gang Liu, Meng Jiang

ICLR 2025 Multimodal Large Language Models for Inverse Molecular Design with Retrosynthetic Planning Gang Liu, Michael Sun, Wojciech Matusik, Meng Jiang, Jie Chen

NeurIPS 2024 Graph Diffusion Transformers for Multi-Conditional Molecular Generation Gang Liu, Jiaxin Xu, Tengfei Luo, Meng Jiang

NeurIPSW 2024 Learning Molecular Representation in a Cell Gang Liu, Srijit Seal, John Arevalo, Zhenwen Liang, Anne E Carpenter, Meng Jiang, Shantanu Singh

IJCAI 2024 Modeling Personalized Retweeting Behaviors for Multi-Stage Cascade Popularity Prediction Mingyang Zhou, Yanjie Lin, Gang Liu, Zuwen Li, Hao Liao, Rui Mao

ICLR 2023 Capturing the Motion of Every Joint: 3D Human Pose and Shape Estimation with Independent Tokens Sen Yang, Wen Heng, Gang Liu, Guozhong Luo, Wankou Yang, Gang Yu

NeurIPS 2023 Data-Centric Learning from Unlabeled Graphs with Diffusion Model Gang Liu, Eric Inae, Tong Zhao, Jiaxin Xu, Tengfei Luo, Meng Jiang

NeurIPSW 2023 Explaining Tree Model Decisions in Natural Language for Network Intrusion Detection Noah Ziems, Gang Liu, John Flanagan, Meng Jiang

NeurIPSW 2023 Motif-Aware Attribute Masking for Molecular Graph Pre-Training Eric Inae, Gang Liu, Meng Jiang

NeurIPSW 2023 Semi-Supervised Graph Imbalanced Regression Gang Liu, Tong Zhao, Eric Inae, Tengfei Luo, Meng Jiang

ICLRW 2023 Transfer Learning with Diffusion Model for Polymer Property Prediction Gang Liu, Meng Jiang

ECCV 2022 D&D: Learning Human Dynamics from Dynamic Camera Jiefeng Li, Siyuan Bian, Chao Xu, Gang Liu, Gang Yu, Cewu Lu

ICML 2022 Learning from Counterfactual Links for Link Prediction Tong Zhao, Gang Liu, Daheng Wang, Wenhao Yu, Meng Jiang

ECCVW 2018 Deep Multitask Gaze Estimation with a Constrained Landmark-Gaze Model Yu Yu, Gang Liu, Jean-Marc Odobez

CVPR 2000 Assignment Problem in Edge Detection Performance Evaluation Gang Liu, Robert M. Haralick