Group

Group 

PhD students

  • Qiang Li (BEng, Harbin Institute of Technology, August, 2020 – Present), Research area: Stochastic optimization

  • Chenyue Zhang (BEng, Zhejiang University, August 2021 – Present), Research area: Graph signal processing

  • Chung Yiu Yau (BEng, CUHK, August 2021 – Present), Research area: Distributed optimization

  • Rongxing Du (BEng, Zhejiang University, August 2024 – Present), Research area: Distributed optimization

Postdoc

  • Haoming Liu (PhD, PKU, Jan, 2024 – Present) Research area: Distributed optimization

Alumni

  • Xiaolu Wang (Postdoc, June, 2022 – June, 2023) Current Position: Associate Professor @ East China Normal University

  • Yiran He (PhD, August, 2019 – Jan, 2024) Current Position: Lecturer @ Foshan University

Undergraduate Research Students

  • Hadi Hadavi (summer 2023 – present), topic: distributed optimization

  • Hoang Son Nguyen (spring 2021 – present), topic: graph signal processing

  • Arjun Arshok Rao (spring 2021 – spring 2022), topic: distributed optimization

  • Mahmoud Hegazy (summer 2021 – spring 2022), topic: federated learning

  • Hongxu Jiang (summer 2021 – fall 2022), topic: AML (co-supervised with Dr. Keith Wong)

  • Ziqi Liu (summer 2021 – fall 2022), topic: AML (co-supervised with Dr. Keith Wong)

  • Mahpara Islam (summer 2021), topic: AML (co-supervised with Dr. Keith Wong)

  • Haitong Liu (summer 2021 – spring 2023), topic: reinforcement learning and performative prediction

  • Yang Xu (summer 2020), topic: graph signal processing

  • Bokai Wang (summer 2020), topic: graph signal processing

  • Hon Tik Tse (summer 2020), topic: reinforcement learning and optimization

  • Alan Lun (summer 2020), topic: reinforcement learning and optimization

  • Letian Yu (summer 2020), topic: reinforcement learning and optimization

  • Andes Kei (summer 2020), topic: reinforcement learning and optimization

  • Po Hao Chen (summer 2019), topic: graph learning

  • Xuan Zhang (summer 2019), topic: graph learning

  • Jiancheng Wang (summer 2019), topic: distributed optimization