Cai, Chen

9 publications

ICCV 2025 A Structure-Aware and Motion-Adaptive Framework for 3D Human Pose Estimation with Mamba Ye Lu, Jie Wang, Jianjun Gao, Rui Gong, Chen Cai, Kim-Hui Yap

ICML 2023 On the Connection Between MPNN and Graph Transformer Chen Cai, Truong Son Hy, Rose Yu, Yusu Wang

TMLR 2022 Benchmarking and Analyzing Unsupervised Network Representation Learning and the Illusion of Progress Saket Gurukar, Priyesh Vijayan, Srinivasan Parthasarathy, Balaraman Ravindran, Aakash Srinivasan, Goonmeet Bajaj, Chen Cai, Moniba Keymanesh, Saravana Kumar, Pranav Maneriker, Anasua Mitra, Vedang Patel

ICML 2022 Convergence of Invariant Graph Networks Chen Cai, Yusu Wang

ICLR 2022 Equivariant Subgraph Aggregation Networks Beatrice Bevilacqua, Fabrizio Frasca, Derek Lim, Balasubramaniam Srinivasan, Chen Cai, Gopinath Balamurugan, Michael M. Bronstein, Haggai Maron

ICML 2022 Generative Coarse-Graining of Molecular Conformations Wujie Wang, Minkai Xu, Chen Cai, Benjamin K Miller, Tess Smidt, Yusu Wang, Jian Tang, Rafael Gomez-Bombarelli

ICLR 2021 Graph Coarsening with Neural Networks Chen Cai, Dingkang Wang, Yusu Wang

ICLRW 2021 Sanity Check for Persistence Diagrams Chen Cai

ECML-PKDD 2020 Energy Consumption Forecasting Using a Stacked Nonparametric Bayesian Approach Dilusha Weeraddana, Nguyen Lu Dang Khoa, Lachlan O'Neil, Weihong Wang, Chen Cai