Gao, Hang

25 publications

NeurIPS 2025 A-Mem: Agentic Memory for LLM Agents Wujiang Xu, Zujie Liang, Kai Mei, Hang Gao, Juntao Tan, Yongfeng Zhang

AAAI 2025 Bootstrapping Heterogeneous Graph Representation Learning via Large Language Models: A Generalized Approach Hang Gao, Chenhao Zhang, Fengge Wu, Changwen Zheng, Junsuo Zhao, Huaping Liu

NeurIPS 2025 Cameras as Relative Positional Encoding Ruilong Li, Brent Yi, Junchen Liu, Hang Gao, Yi Ma, Angjoo Kanazawa

AAAI 2025 Contrastive Auxiliary Learning with Structure Transformation for Heterogeneous Graphs Wei Du, Hongmin Sun, Hang Gao, Gaoyang Li, Ying Li

ICML 2025 LLM Enhancers for GNNs: An Analysis from the Perspective of Causal Mechanism Identification Hang Gao, Huang Wenxuan, Fengge Wu, Zhao Junsuo, Changwen Zheng, Huaping Liu

IJCAI 2025 Learn to Think: Bootstrapping LLM Logic Through Graph Representation Learning Hang Gao, Chenhao Zhang, Tie Wang, Junsuo Zhao, Fengge Wu, Changwen Zheng, Huaping Liu

ICCV 2025 Shape of Motion: 4D Reconstruction from a Single Video Qianqian Wang, Vickie Ye, Hang Gao, Weijia Zeng, Jake Austin, Zhengqi Li, Angjoo Kanazawa

ICCV 2025 Stable Virtual Camera: Generative View Synthesis with Diffusion Models Jensen Zhou, Hang Gao, Vikram Voleti, Aaryaman Vasishta, Chun-Han Yao, Mark Boss, Philip Torr, Christian Rupprecht, Varun Jampani

AAAI 2024 Hierarchical Topology Isomorphism Expertise Embedded Graph Contrastive Learning Jiangmeng Li, Yifan Jin, Hang Gao, Wenwen Qiang, Changwen Zheng, Fuchun Sun

ECML-PKDD 2024 Molecular Graph Representation Learning via Structural Similarity Information Chengyu Yao, Hong Huang, Hang Gao, Fengge Wu, Haiming Chen, Junsuo Zhao

AAAI 2024 Rethinking Causal Relationships Learning in Graph Neural Networks Hang Gao, Chengyu Yao, Jiangmeng Li, Lingyu Si, Yifan Jin, Fengge Wu, Changwen Zheng, Huaping Liu

ICCV 2023 NerfAcc: Efficient Sampling Accelerates NeRFs Ruilong Li, Hang Gao, Matthew Tancik, Angjoo Kanazawa

AAAI 2023 Robust Causal Graph Representation Learning Against Confounding Effects Hang Gao, Jiangmeng Li, Wenwen Qiang, Lingyu Si, Bing Xu, Changwen Zheng, Fuchun Sun

IJCAI 2022 Bootstrapping Informative Graph Augmentation via a Meta Learning Approach Hang Gao, Jiangmeng Li, Wenwen Qiang, Lingyu Si, Fuchun Sun, Changwen Zheng

NeurIPS 2022 Monocular Dynamic View Synthesis: A Reality Check Hang Gao, Ruilong Li, Shubham Tulsiani, Bryan Russell, Angjoo Kanazawa

ECML-PKDD 2022 Self-Supervised Graph Learning with Segmented Graph Channels Hang Gao, Jiangmeng Li, Changwen Zheng

NeurIPS 2021 Learning with Holographic Reduced Representations Ashwinkumar Ganesan, Hang Gao, Sunil Gandhi, Edward Raff, Tim Oates, James Holt, Mark McLean

ICLR 2020 Deformable Kernels: Adapting Effective Receptive Fields for Object Deformation Hang Gao, Xizhou Zhu, Steve Lin, Jifeng Dai

ECCV 2020 Long-Term Human Motion Prediction with Scene Context Zhe Cao, Hang Gao, Karttikeya Mangalam, Qi-Zhi Cai, Minh Vo, Jitendra Malik

AAAI 2019 Evolutionarily Learning Multi-Aspect Interactions and Influences from Network Structure and Node Content Songlei Jian, Liang Hu, Longbing Cao, Kai Lu, Hang Gao

ICCVW 2019 Spatio-Temporal Action Graph Networks Roei Herzig, Elad Levi, Huijuan Xu, Hang Gao, Eli Brosh, Xiaolong Wang, Amir Globerson, Trevor Darrell

ECCV 2018 AutoLoc: Weakly-Supervised Temporal Action Localization in Untrimmed Videos Zheng Shou, Hang Gao, Lei Zhang, Kazuyuki Miyazawa, Shih-Fu Chang

NeurIPS 2018 Low-Shot Learning via Covariance-Preserving Adversarial Augmentation Networks Hang Gao, Zheng Shou, Alireza Zareian, Hanwang Zhang, Shih-Fu Chang

ECML-PKDD 2018 On Finer Control of Information Flow in LSTMs Hang Gao, Tim Oates

IJCAI 2017 Embedding-Based Representation of Categorical Data by Hierarchical Value Coupling Learning Songlei Jian, Longbing Cao, Guansong Pang, Kai Lu, Hang Gao