Jia He

According to our database, Jia He authored at least 17 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Style Miner: Find Significant and Stable Explanatory Factors in Time Series with Constrained Reinforcement Learning.

Dapeng Li, Feiyang Pan, Jia He, Zhiwei Xu, Dandan Tu, Guoliang Fan

CoRR, 2023

Generating Synergistic Formulaic Alpha Collections via Reinforcement Learning.

Shuo Yu, Hongyan Xue, Xiang Ao, Feiyang Pan, Jia He, Dandan Tu, Qing He

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Gradient-Adaptive Pareto Optimization for Constrained Reinforcement Learning.

Zixian Zhou, Mengda Huang, Feiyang Pan, Jia He, Xiang Ao, Dandan Tu, Qing He

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Learn Continuously, Act Discretely: Hybrid Action-Space Reinforcement Learning For Optimal Execution.

Feiyang Pan, Tongzhe Zhang, Ling Luo, Jia He, Shuoling Liu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

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

Mach. Learn., 2020

Trust the Model When It Is Confident: Masked Model-based Actor-Critic.

Feiyang Pan, Jia He, Dandan Tu, Qing He

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

CCA-Flow: Deep Multi-view Subspace Learning with Inverse Autoregressive Flow.

Jia He, Feiyang Pan, Fuzhen Zhuang, Qing He

Proceedings of The 12th Asian Conference on Machine Learning, 2020

2019

Knowledge triple mining via multi-task learning.

Zhao Zhang, Fuzhen Zhuang, Xuebing Li, Zheng-Yu Niu, Jia He, Qing He, Hui Xiong

Inf. Syst., 2019

Bayesian dual neural networks for recommendation.

Jia He, Fuzhen Zhuang, Yanchi Liu, Qing He, Fen Lin

Frontiers Comput. Sci., 2019

Efficient and Adaptive Kernelization for Nonlinear Max-margin Multi-view Learning.

Changying Du, Jia He, Changde Du, Fuzhen Zhuang, Qing He, Guoping Long

CoRR, 2019

2018

A General Cross-Domain Recommendation Framework via Bayesian Neural Network.

Jia He, Rui Liu, Fuzhen Zhuang, Fen Lin, Cheng Niu, Qing He

Proceedings of the IEEE International Conference on Data Mining, 2018

2017

Transfer Learning with Manifold Regularized Convolutional Neural Network.

Fuzhen Zhuang, Lang Huang, Jia He, Jixin Ma, Qing He

Proceedings of the Knowledge Science, Engineering and Management, 2017

Nonlinear Maximum Margin Multi-View Learning with Adaptive Kernel.

Jia He, Changying Du, Changde Du, Fuzhen Zhuang, Qing He, Guoping Long

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

Learning Beyond Predefined Label Space via Bayesian Nonparametric Topic Modelling.

Changying Du, Fuzhen Zhuang, Jia He, Qing He, Guoping Long

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Online Bayesian Max-Margin Subspace Multi-View Learning.

Jia He, Changying Du, Fuzhen Zhuang, Xin Yin, Qing He, Guoping Long

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015

Collaborating between Local and Global Learning for Distributed Online Multiple Tasks.

Xin Jin, Ping Luo, Fuzhen Zhuang, Jia He, Qing He

Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014

Nonparametric Bayesian Multi-Task Large-margin Classification.

Changying Du, Jia He, Fuzhen Zhuang, Yuan Qi, Qing He

Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014