Shanghai Key Lab of Intelligent Information Processing
College of Computer Science and Artificial Intelligence
Fudan University

Supervising

Current students and post-doctoral fellows

Post-doctoral Fellows↓
  • Dr. Yuxi Mi(糜予曦) (Since July 2024, research area: face and iris recognition and generation)


  • Dr. Wenhui Liu(刘文辉) (Since July 2025, research area: reinforcement learning and embodied intelligence)

PhD Students(Not including those before 2012)↓
  • Sept. 2026 -: Zheng Li(李政), Chenghou Jin(金成厚), Yilun Cao(曹奕伦), Shida Yu(余仕达), Yinuo Ma(马伊诺), Yingfan Cheng(程瑛璠), Yu Zhao(赵禹), Junping Xiao(肖军平)


  • Sept. 2025 -: Haocheng Zhang(章皓程), Xuan Zhao(赵轩), Ruixin Zhang(张睿欣), Caiyong Piao(朴彩咏)


  • Sept. 2024 -: Hongxu Ma(马洪旭), Shijie Xuyang(徐杨世杰), Yuxuan Zhang(张钰轩)


  • Yewei Xia (夏业伟) (Sept. 2023 - Jun. 2026. Thesis: Causal Discovery Methods for More Practical Scenarios)


  • Chenbo Zhang (张晨博) (Sept. 2023 - Jun. 2026. Thesis: Research on Object Detection Methods in Sample-Limited Scenarios)


  • Jinxian wang(王劲贤)(Sept. 2022 - Jun. 2026. Thesis: Molecular Property Prediction and Structure Refinement for Drug Design)


  • Minyi Zhao(赵珉怿)(Sept. 2022 - Jun. 2025. Thesis: Low-Quality Scene Text Image Recovery and Recognition)


  • Houyi Li(李厚意)(Sept. 2022 -, research topic: Scaling Laws of LLMs)


  • Yixin Ren(任一鑫)(Sept. 2021- Jun. 2026. Thesis: Hypothesis Testing Methods for Independence and Conditional Independence with Applications in Causal Discovery)


  • Hongquan Liu(刘红权)(since Sept. 2021- Jun. 2026. Thesis: Algorithms of Semi-supervised Federated Learning)


  • Xianliang Huang(黄贤良)(Sept. 2021 - Jun. 2025. Thesis: Research on Multi-view Image Generation, Restoration and Reconstruction)


  • Fei Wang(王飞)(since Sept. 2021, research topic: Poster or ad Layout generation)


  • Lu Zhang(张路)(Sept. 2021 - Jun. 2024. Thesis: Methods for Few-shot and Zero-shot Object Detection)


  • Yuxi Mi(糜予曦)(Sept. 2020 - Jun. 2024. Thesis: Privacy-Preserving Deep Face Recognition Algorithms)


  • Yifan He (何轶凡)(Sept. 2020 - Sept. 2024. Thesis: Application-driven Deep Anomaly Detection)


  • Fei Li (李飞) (Sept. 2019 – Jun. 2023. Thesis: Protein-Ligand Interaction Prediction Based on Deep Learning: Methods, Database and Evaluation System)


  • Fan Bai (白帆) (Sept. 2019 – Jun. 2022, Thesis: Some New Methods for Scene Text Recognition)


  • Ziqiao Zhang (张子乔) (Sept. 2018 – Sept. 2022, Thesis: Molecular representation learning for drug property prediction)


  • Changsheng Xu (徐长盛)(Sept. 2018 – Jun, 2026)


  • Yi Xu (许燚) (Sept. 2017 – Sept. 2022, Thesis: Research on Some Issues of User-generated Video Content Understanding)


  • Chuanxu Yan (严传续) (Sept. 2017 – Mar. 2022. Thesis: Causal Inference for High-dimensional Data)


  • Yuzhong Peng (彭昱忠) (Sept. 2016 – Dec. 2020, Thesis: Study on Intelligent Methods for Compound Toxicity Prediction)


  • Kai Huang (黄凯) (Sept. 2016 – Dec. 2019. Thesis: Subgraph Query Formulation and Privacy Guaranteed Subgraph Query Processing in Graph Databases)


  • Hao Zhang (张浩) (Sept. 2015 - Dec. 2019, Thesis: Additive Noise Model Based Causality Inference)


  • Kai Tian (田凯) (Sept. 2014 - Dec. 2019. Thesis: Research on Some Learning Algorithms of Deep Neural Networks)  


  • Chaobin Liu(刘朝斌)(Sept. 2013 - Jun. 2019. Thesis: Privacy Preserving Techniques for Data Publishing and Query Processing)


  • Li Cai (蔡莉) (Sept. 2013 - Dec. 2019, Thesis: Fusing and Mining Multi-source Location Data)

 

  • Yi Yang(杨溢)(Sept. 2013 - Dec. 2018. Thesis: Dense Subgraph Mining, Counting and Querying)


  • Tiansheng Zhu (朱天生) (Sept. 2012 - Jul. 2020, Thesis: Omics Data Integration, Analysis and System Construction)  


  • Longwen Gao(高龙文)(Sept. 2012 - Jun. 2016. Thesis: Models and Applications of Structured Sparse Representation)


  • Peifeng Ruan(阮培峰)(Sept. 2012 - Dec. 2015. Thesis: Improving statistical methods for association studies in genome-wide scale)


Master Students(Not including those before 2017)↓
  • 2025: Feiyang Xu(徐菲阳)、Wenqi Rao(饶文棋)、Tinghao Xia(夏庭浩)、Kai Wu(吴凯)、Boxiang Zhang(张博翔)、Yichun Zhou(周艺纯)


  • 2024: Chenghou Jin(金成厚)、Bingzhe Yu(郁冰哲)、Xiaoxun Tan(谭笑询)、ChenXiao(肖琛)、Chenyu Guo(郭晨宇)、Bing Huangfu(皇甫柄)、Maoheng Yuan(袁茂恒)、Hanyu Rao(饶翰宇)


  • 2023(Co-supervised with Prof. Su Yang and Prof. Yuan Tang): Yi Guan(官毅)、Haocheng Zhang(章皓程)、Sijie Huo(霍思捷)、QIuyang Yuan(袁秋阳)、Haoran Zhou(周浩然)、Xuan Zhao(赵轩)


  • 2022(Co-supervised with Prof. Su Yang and Prof. Yuan Tang): Huan Liu(刘欢)、Hongxu Ma(马洪旭)、Shijie Xuyang(徐杨世杰)、Zhizhou Zhong(钟智舟)、Xi Ding(丁溪)、Wenying Xu(许雯颖)、Yuqian Zhang(张雨茜)、Bai Pang(逄白)、Doudou Long(龙豆豆)、Sufen Zeng(曾素芬)、Jie Deng(邓杰)、Yuyi Cheng(成雨益)、Guangze Li(李广泽)、Liying Wang(汪李迎)


  • 2021: Yinglu Zhang(张莹露)、Wenbo Liu(刘文博)、Tianhan Gu(顾天涵)、Jie Shen(沈杰)、Yunpeng Bai(白云鹏)、Tairan Wang(王泰冉)、Bo Liu(刘博)


  • 2019: Lu Zhang (张路),Yubo Wang (王禹博) ,Qinjia Sun (孙勤佳) ,Shihua Xu (徐世华)


  • 2018: Zhenglong Xu(许振龙), Jinghuang Lin(林景煌), Kai Wu(吴凯), Baoru Zou(邹宝瑞), Yutong Mu(穆禹彤), Yang Tian(田洋), Xu Zhao(赵旭), Hang Cheng(程航), Huihao Tang(唐慧豪)   


  • 2017:Kang Wang(王康), Qizhi Jiang(蒋旗志), Zhichao Huang(黄志超), Chuang Cai(蔡闯), Kan Ni(倪侃), Yunfeng Dong(董云峰), Yangyun Gao(高杨云), Can Liu(刘灿)  



Email: sgzhou AT fudan DOT edu DOT cn
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