Gao, Han

12 publications

CVPR 2025 LeanGaussian: Breaking Pixel or Point Cloud Correspondence in Modeling 3D Gaussians Jiamin Wu, Kenkun Liu, Han Gao, Xiaoke Jiang, Yuan Yao, Lei Zhang

CPAL 2025 Learning Effective Dynamics Across Spatio-Temporal Scales of Complex Flows Han Gao, Sebastian Kaltenbach, Petros Koumoutsakos

UAI 2024 Consistency Regularization for Domain Generalization with Logit Attribution Matching Han Gao, Kaican Li, Weiyan Xie, Zhi Lin, Yongxiang Huang, Luning Wang, Caleb Cao, Nevin Zhang

ICML 2024 Discovering Symmetry Breaking in Physical Systems with Relaxed Group Convolution Rui Wang, Elyssa Hofgard, Han Gao, Robin Walters, Tess Smidt

NeurIPSW 2024 Interactive Navigation of Quadruped Robots in Challenging Environments Using Large Language Models Kangjie Zhou, Yao Mu, Pengying Wu, Han Gao, Chang Liu

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

NeurIPS 2023 Unifying Predictions of Deterministic and Stochastic Physics in Mesh-Reduced Space with Sequential Flow Generative Model Luning Sun, Xu Han, Han Gao, Jian-Xun Wang, Liping Liu

ECCV 2022 Contextformer: A Transformer with Spatio-Channel Attention for Context Modeling in Learned Image Compression A. Burakhan Koyuncu, Han Gao, Atanas Boev, Georgii Gaikov, Elena Alshina, Eckehard Steinbach

NeurIPS 2022 Multi-Sample Training for Neural Image Compression Tongda Xu, Yan Wang, Dailan He, Chenjian Gao, Han Gao, Kunzan Liu, Hongwei Qin

LoG 2022 PatchGT: Transformer over Non-Trainable Clusters for Learning Graph Representations Han Gao, Xu Han, Jiaoyang Huang, Jian-Xun Wang, Liping Liu

ICLR 2022 Predicting Physics in Mesh-Reduced Space with Temporal Attention Xu Han, Han Gao, Tobias Pfaff, Jian-Xun Wang, Liping Liu

AAAI 2018 Ranking Users in Social Networks with Higher-Order Structures Huan Zhao, Xiaogang Xu, Yangqiu Song, Dik Lun Lee, Zhao Chen, Han Gao