Jia He

22 papers A* 7A 2C 2Journal 9Unranked 2
YearRankTypeTitle / Venue / Authors
2024 — conf
Style Miner: Find Significant and Stable Factors in Time Series with Constrained Reinforcement Learning.
ICONIP (6)
Dapeng Li, Feiyang Pan, Jia He, Zhiwei Xu, Dandan Tu, Guoliang Fan
2023 A* conf
Generating Synergistic Formulaic Alpha Collections via Reinforcement Learning.
KDD
Shuo Yu, Hongyan Xue, Xiang Ao, Feiyang Pan, Jia He, Dandan Tu, Qing He
2023 J jnl
Generating Synergistic Formulaic Alpha Collections via Reinforcement Learning.
CoRR
Shuo Yu, Hongyan Xue, Xiang Ao, Feiyang Pan, Jia He, Dandan Tu, Qing He
2023 A* conf
Gradient-Adaptive Pareto Optimization for Constrained Reinforcement Learning.
AAAI
Zixian Zhou, Mengda Huang, Feiyang Pan, Jia He, Xiang Ao, Dandan Tu, Qing He
2023 J jnl
Style Miner: Find Significant and Stable Explanatory Factors in Time Series with Constrained Reinforcement Learning.
CoRR
Dapeng Li, Feiyang Pan, Jia He, Zhiwei Xu, Dandan Tu, Guoliang Fan
2022 A* conf
Learn Continuously, Act Discretely: Hybrid Action-Space Reinforcement Learning For Optimal Execution.
IJCAI
Feiyang Pan, Tongzhe Zhang, Ling Luo, Jia He, Shuoling Liu
2022 J jnl
Learn Continuously, Act Discretely: Hybrid Action-Space Reinforcement Learning For Optimal Execution.
CoRR
Feiyang Pan, Tongzhe Zhang, Ling Luo, Jia He, Shuoling Liu
2020 C conf
CCA-Flow: Deep Multi-view Subspace Learning with Inverse Autoregressive Flow.
ACML
Jia He, Feiyang Pan, Fuzhen Zhuang, Qing He
2020 J jnl
Online Bayesian max-margin subspace learning for multi-view classification and regression.
Mach. Learn.
Jia He, Changying Du, Fuzhen Zhuang, Xin Yin, Qing He, Guoping Long
2020 A* conf
Trust the Model When It Is Confident: Masked Model-based Actor-Critic.
NeurIPS
Feiyang Pan, Jia He, Dandan Tu, Qing He
2020 J jnl
Trust the Model When It Is Confident: Masked Model-based Actor-Critic.
CoRR
Feiyang Pan, Jia He, Dandan Tu, Qing He
2019 J jnl
Bayesian dual neural networks for recommendation.
Frontiers Comput. Sci.
Jia He, Fuzhen Zhuang, Yanchi Liu, Qing He, Fen Lin
2019 J jnl
Efficient and Adaptive Kernelization for Nonlinear Max-margin Multi-view Learning.
CoRR
Changying Du, Jia He, Changde Du, Fuzhen Zhuang, Qing He, Guoping Long
2019 J jnl
Knowledge triple mining via multi-task learning.
Inf. Syst.
Zhao Zhang, Fuzhen Zhuang, Xuebing Li, Zheng-Yu Niu, Jia He, Qing He, Hui Xiong
2019 J jnl
Learning beyond Predefined Label Space via Bayesian Nonparametric Topic Modelling.
CoRR
Changying Du, Fuzhen Zhuang, Jia He, Qing He, Guoping Long
2018 A* conf
A General Cross-Domain Recommendation Framework via Bayesian Neural Network.
ICDM
Jia He, Rui Liu, Fuzhen Zhuang, Fen Lin, Cheng Niu, Qing He
2017 A* conf
Nonlinear Maximum Margin Multi-View Learning with Adaptive Kernel.
IJCAI
Jia He, Changying Du, Changde Du, Fuzhen Zhuang, Qing He, Guoping Long
2017 C conf
Transfer Learning with Manifold Regularized Convolutional Neural Network.
KSEM
Fuzhen Zhuang, Lang Huang, Jia He, Jixin Ma, Qing He
2016 — conf
Learning Beyond Predefined Label Space via Bayesian Nonparametric Topic Modelling.
ECML/PKDD (1)
Changying Du, Fuzhen Zhuang, Jia He, Qing He, Guoping Long
2016 A* conf
Online Bayesian Max-Margin Subspace Multi-View Learning.
IJCAI
Jia He, Changying Du, Fuzhen Zhuang, Xin Yin, Qing He, Guoping Long
2015 A conf
Collaborating between Local and Global Learning for Distributed Online Multiple Tasks.
CIKM
Xin Jin, Ping Luo, Fuzhen Zhuang, Jia He, Qing He
2014 A conf
Nonparametric Bayesian Multi-Task Large-margin Classification.
ECAI
Changying Du, Jia He, Fuzhen Zhuang, Yuan Qi, Qing He