Nonparametric Bayesian Multi-Task Large-margin Classification. - Changying Du; Jia He 001; Fuzhen Zhuang; Yuan Qi 001; Qing He 003 (ECAI, 2014)

Collaborating between Local and Global Learning for Distributed Online Multiple Tasks. - Xin Jin 004; Ping Luo 001; Fuzhen Zhuang; Jia He 001; Qing He 003 (CIKM, 2015)

Online Bayesian Max-Margin Subspace Multi-View Learning. - Jia He 001; Changying Du; Fuzhen Zhuang; Xin Yin; Qing He 003; Guoping Long (IJCAI, 2016)

Learning Beyond Predefined Label Space via Bayesian Nonparametric Topic Modelling. - Changying Du; Fuzhen Zhuang; Jia He 001; Qing He 003; Guoping Long (ECML/PKDD (1), 2016)

Nonlinear Maximum Margin Multi-View Learning with Adaptive Kernel. - Jia He 001; Changying Du; Changde Du; Fuzhen Zhuang; Qing He 003; Guoping Long (IJCAI, 2017)

Transfer Learning with Manifold Regularized Convolutional Neural Network. - Fuzhen Zhuang; Lang Huang 004; Jia He 001; Jixin Ma 001; Qing He 003 (KSEM, 2017)

A General Cross-Domain Recommendation Framework via Bayesian Neural Network. - Jia He 001; Rui Liu 007; Fuzhen Zhuang; Fen Lin; Cheng Niu; Qing He 003 (ICDM, 2018)

Efficient and Adaptive Kernelization for Nonlinear Max-margin Multi-view Learning. - Changying Du; Jia He 001; Changde Du; Fuzhen Zhuang; Qing He 003; Guoping Long (CoRR, 2019)

Bayesian dual neural networks for recommendation. - Jia He 001; Fuzhen Zhuang; Yanchi Liu; Qing He 003; Fen Lin (Frontiers Comput. Sci., 2019)

Knowledge triple mining via multi-task learning. - Zhao Zhang 011; Fuzhen Zhuang; Xuebing Li; Zheng-Yu Niu; Jia He 001; Qing He 003; Hui Xiong 001 (Inf. Syst., 2019)

CCA-Flow: Deep Multi-view Subspace Learning with Inverse Autoregressive Flow. - Jia He 001; Feiyang Pan; Fuzhen Zhuang; Qing He 003 (ACML, 2020)

Trust the Model When It Is Confident: Masked Model-based Actor-Critic. - Feiyang Pan; Jia He 001; Dandan Tu; Qing He 003 (NeurIPS, 2020)

Online Bayesian max-margin subspace learning for multi-view classification and regression. - Jia He 001; Changying Du; Fuzhen Zhuang; Xin Yin; Qing He 003; Guoping Long (Mach. Learn., 2020)

Learn Continuously, Act Discretely: Hybrid Action-Space Reinforcement Learning For Optimal Execution. - Feiyang Pan; Tongzhe Zhang; Ling Luo; Jia He 001; Shuoling Liu (IJCAI, 2022)

Gradient-Adaptive Pareto Optimization for Constrained Reinforcement Learning. - Zixian Zhou; Mengda Huang; Feiyang Pan; Jia He 001; Xiang Ao 001; Dandan Tu; Qing He 003 (AAAI, 2023)

Generating Synergistic Formulaic Alpha Collections via Reinforcement Learning. - Shuo Yu 003; Hongyan Xue; Xiang Ao 001; Feiyang Pan; Jia He 001; Dandan Tu; Qing He 003 (KDD, 2023)

Style Miner: Find Significant and Stable Explanatory Factors in Time Series with Constrained Reinforcement Learning. - Dapeng Li 001; Feiyang Pan; Jia He 001; Zhiwei Xu 005; Dandan Tu; Guoliang Fan (CoRR, 2023)

Style Miner: Find Significant and Stable Factors in Time Series with Constrained Reinforcement Learning. - Dapeng Li 001; Feiyang Pan; Jia He 001; Zhiwei Xu 005; Dandan Tu; Guoliang Fan (ICONIP (6), 2024)