Fan Zhou

About Fan Zhou

Fan Zhou, With an exceptional h-index of 10 and a recent h-index of 10 (since 2020), a distinguished researcher at Shanghai University of Finance and Economics, specializes in the field of Deep learning, Reinforcement Learning, Networks, Causal Inference.

His recent articles reflect a diverse array of research interests and contributions to the field:

Directional diffusion models for graph representation learning

Optimal Treatment Allocation for Efficient Policy Evaluation in Sequential Decision Making

Value Enhancement of Reinforcement Learning via Efficient and Robust Trust Region Optimization

Reinforced mixture learning

Variance control for distributional reinforcement learning

Adversarial learning of distributional reinforcement learning

Over-parameterized Deep Nonparametric Regression for Dependent Data with Its Applications to Reinforcement Learning

Monotonic quantile network for worst-case offline reinforcement learning

Fan Zhou Information

University

Position

School of Statistics and Management

Citations(all)

2188

Citations(since 2020)

2159

Cited By

612

hIndex(all)

10

hIndex(since 2020)

10

i10Index(all)

11

i10Index(since 2020)

11

Email

University Profile Page

Shanghai University of Finance and Economics

Google Scholar

View Google Scholar Profile

Fan Zhou Skills & Research Interests

Deep learning

Reinforcement Learning

Networks

Causal Inference

Top articles of Fan Zhou

Title

Journal

Author(s)

Publication Date

Directional diffusion models for graph representation learning

Advances in Neural Information Processing Systems

Run Yang

Yuling Yang

Fan Zhou

Qiang Sun

2024/2/13

Optimal Treatment Allocation for Efficient Policy Evaluation in Sequential Decision Making

Advances in Neural Information Processing Systems

Ting Li

Chengchun Shi

Jianing Wang

Fan Zhou

2024/2/13

Value Enhancement of Reinforcement Learning via Efficient and Robust Trust Region Optimization

Journal of the American Statistical Association

Chengchun Shi

Zhengling Qi

Jianing Wang

Fan Zhou

2023/9/22

Reinforced mixture learning

Neural Networks

Yuan Le

Fan Zhou

Yang Bai

2023/8/1

Variance control for distributional reinforcement learning

arXiv preprint arXiv:2307.16152

Qi Kuang

Zhoufan Zhu

Liwen Zhang

Fan Zhou

2023/7/30

Adversarial learning of distributional reinforcement learning

Yang Sui

Yukun Huang

Hongtu Zhu

Fan Zhou

2023/7/3

Over-parameterized Deep Nonparametric Regression for Dependent Data with Its Applications to Reinforcement Learning

Journal of Machine Learning Research

Xingdong Feng

Yuling Jiao

Lican Kang

Baqun Zhang

Fan Zhou

2023

Monotonic quantile network for worst-case offline reinforcement learning

IEEE Transactions on Neural Networks and Learning Systems

Chenjia Bai

Ting Xiao

Zhoufan Zhu

Lingxiao Wang

Fan Zhou

...

2022/11/4

MDP2 Forest: A Constrained Continuous Multi-dimensional Policy Optimization Approach for Short-video Recommendation

Sizhe Yu

Ziyi Liu

Shixiang Wan

Jia Zheng

Zang Li

...

2022/8/14

Corrigendum to: Heritability of regional brain volumes in large-scale neuroimaging and genetic studies

Cerebral Cortex (New York, NY)

Bingxin Zhao

Joseph G Ibrahim

Yun Li

Tengfei Li

Yue Wang

...

2021/10

Large-scale GWAS reveals genetic architecture of brain white matter microstructure and genetic overlap with cognitive and mental health traits (n = 17,706)

Molecular psychiatry

Bingxin Zhao

Jingwen Zhang

Joseph G Ibrahim

Tianyou Luo

Rebecca C Santelli

...

2021/8

Non-decreasing Quantile Function Network with Efficient Exploration for Distributional Reinforcement Learning

IJCAI 2021

Fan Zhou

Zhoufan Zhu

Qi Kuang

Liwen Zhang

2021/5/14

Multi-objective distributional reinforcement learning for large-scale order dispatching

2022/6/16

Graph-based equilibrium metrics for dynamic supply–demand systems with applications to ride-sourcing platforms

Journal of the American Statistical Association

Fan Zhou

Shikai Luo

Xiaohu Qie

Jieping Ye

Hongtu Zhu

2021/10/2

" Heritability of regional brain volumes in large-scale neuroimaging and genetic studies": Corrigendum.

Bingxin Zhao

Joseph G Ibrahim

Yun Li

Tengfei Li

Yue Wang

...

2021/10

Analysis of secondary phenotypes in multigroup association studies

Biometrics

Fan Zhou

Haibo Zhou

Tengfei Li

Hongtu Zhu

2020/6

Non-Crossing Quantile Regression for Distributional Reinforcement Learning.

Fan Zhou

Jianing Wang

Xingdong Feng

2020

Metric learning by similarity network for deep semi-supervised learning

Sanyou Wu

Xingdong Feng

Fan Zhou

2020

See List of Professors in Fan Zhou University(Shanghai University of Finance and Economics)

Co-Authors

H-index: 78
Hongtu Zhu

Hongtu Zhu

University of North Carolina at Chapel Hill

H-index: 20
Tengfei Li

Tengfei Li

University of North Carolina at Chapel Hill

H-index: 18
Chao Huang

Chao Huang

Florida State University

academic-engine