He, Jia

10 publications

AAAI 2025 HS-FPN: High Frequency and Spatial Perception FPN for Tiny Object Detection Zican Shi, Jing Hu, Jie Ren, Hengkang Ye, Xuyang Yuan, Yan Ouyang, Jia He, Bo Ji, Junyu Guo

JMLR 2025 Orthogonal Bases for Equivariant Graph Learning with Provable K-WL Expressive Power Jia He, Maggie Cheng

AAAI 2023 Gradient-Adaptive Pareto Optimization for Constrained Reinforcement Learning Zixian Zhou, Mengda Huang, Feiyang Pan, Jia He, Xiang Ao, Dandan Tu, Qing He

IJCAI 2022 Learn Continuously, Act Discretely: Hybrid Action-Space Reinforcement Learning for Optimal Execution Feiyang Pan, Tongzhe Zhang, Ling Luo, Jia He, Shuoling Liu

ACML 2020 CCA-Flow: Deep Multi-View Subspace Learning with Inverse Autoregressive Flow Jia He, Feiyang Pan, Fuzhen Zhuang, Qing He

MLJ 2020 Online Bayesian Max-Margin Subspace Learning for Multi-View Classification and Regression Jia He, Changying Du, Fuzhen Zhuang, Xin Yin, Qing He, Guoping Long

NeurIPS 2020 Trust the Model When It Is Confident: Masked Model-Based Actor-Critic Feiyang Pan, Jia He, Dandan Tu, Qing He

IJCAI 2017 Nonlinear Maximum Margin Multi-View Learning with Adaptive Kernel Jia He, Changying Du, Changde Du, Fuzhen Zhuang, Qing He, Guoping Long

ECML-PKDD 2016 Learning Beyond Predefined Label Space via Bayesian Nonparametric Topic Modelling Changying Du, Fuzhen Zhuang, Jia He, Qing He, Guoping Long

IJCAI 2016 Online Bayesian Max-Margin Subspace Multi-View Learning Jia He, Changying Du, Fuzhen Zhuang, Xin Yin, Qing He, Guoping Long