Yinghao Zhang

Yinghao Zhang

Incoming MPhil student at Hong Kong Metropolitan University

About me

Hi! I’m Yinghao Zhang, a MPhil student at Hong Kong Metropolitan University (HKMU) supervised by Dr. Yalin Liu, starting in January 2026. My research interests focus on federated learning, edge intelligence, and AI for healthcare.

Previously, I worked as a Research Assistant at BNBU with Dr. Jianxiong Guo, focusing on efficient and personalized federated learning. Before that, I was a research visiting student at Hanyang University supervised by Dr. Wei Dawid Wang.

Education & Research Experience

  • Hong Kong Metropolitan University, Hong Kong — MPhil in Computer Science (Jan 2026– )

  • Beijing Normal-Hong Kong Baptist University & Beijing Normal University, Zhuhai, China — Research Assistant (Dec 2023 – Present)

  • Hanyang University, Seoul, South Korea — Research Visiting Student (Mar 2023 – Dec 2023)

  • Shenzhen Kunte Co., Ltd. (Chengdu Branch), China — Meteorological Algorithm Engineer (Jul 2022 – Feb 2023)

  • Chengdu University of Information Technology, Chengdu, China — B.Sc. in Atmospheric Science (Oct 2018 – Jul 2022)

Publications

Journal Publications

  1. Yinghao Zhang, Jianxiong Guo, Xingjian Ding, Zhiqing Tang, Tian Wang, Weili Wu, Weijia Jia. “Optimizing Communication Efficiency through Training Potential in Multi-Modal Federated Learning.” ACM Transactions on Internet Technology, 2025. DOI: 10.1145/3747590. [CCF B, CORE B, JCR Q1, IF: 4.1]

  2. Yinghao Zhang, Xuanzhe Xiao, Jianxiong Guo. “TransMCS: A Hybrid CNN–Transformer Autoencoder for End-to-End Multi-Modal Medical Signals Compressive Sensing.” Theoretical Computer Science, 2025, 115409. DOI: 10.1016/j.tcs.2025.115409. [CCF B, CORE A, JCR Q3, IF: 1.0]

  3. Yinghao Zhang, Wei (Dawid) Wang. “A Modality-Wise Multi-Modal Transfer Learning and Dual-Stream CNN–Transformer Hybrid Network for ACC–sEMG Based Continuous Estimation of Finger Joint Angles.” Biomedical Signal Processing and Control, 2025. DOI: 10.1016/j.bspc.2025.108445. [JCR Q2, IF: 4.9]

  4. Bohan Hu, Yuhang Li, Yinghao Zhang* (Corresponding Author). “M²PFSL: Multi-Task and Multi-Modal IoMT Healthcare System via Personalized Split Federated Learning.” Ad Hoc Networks, 2025. DOI: 10.1016/j.adhoc.2025.104032. [CCF C, JCR Q2, IF: 4.8]

  5. Xiaoling Zhang, Mengna Liu, Quan Qing, Zhongci Deng, Ming Hua, Yinghao Zhang. “Extreme Temperature Change and Urbanization Contribution in Chengdu from 1960 to 2018.” Plateau and Mountain Meteorology Research, 2022, 42(1): 10–17. DOI: 10.3969/j.issn.1674-2184.2022.01.002. [Chinese Journal, IF: 1.4]

Conference Publications

  1. Yinghao Zhang, Xuanzhe Xiao, Jianxiong Guo, Zhiqing Tang, Qiufen Ni, Weili Wu. “POSFed: Tackling Non-IID Challenges in One-Shot Federated Learning via Personalization.” IEEE International Conference on Data Mining (ICDM 2025), Washington DC, USA. [Acceptance rate 13.5%, CCF B, CORE A*, EI Compendex, Scopus]

  2. Yuexuan Xia†, Yinghao Zhang†* (Co-first Author, Corresponding Author), Yalin Liu, Hong-Ning Dai, Yong Xia. “FedBiCross: A Bi-Level Optimization Framework to Tackle Non-IID Challenges in Data-Free One-Shot Federated Learning on Medical Data.” *Submitted. arXiv: arXiv:2601.01901.

  3. Yuhao Fu, Yinghao Zhang, Yalin Liu, Bishenghui Tao, Junhong Ruan. “Cloud–Fog–Edge Collaborative Computing for Sequential MIoT Workflow: A Two-Tier DDPG-Based Scheduling Framework.” International Conference on Networks, Communications and Intelligent Computing (NCIC 2025), Jiaozuo, China, 17–19 Oct 2025. arXiv:2510.21135. Best Paper Award. [EI Compendex, Scopus]

  4. Yinghao Zhang, Jianxiong Guo. “A Novel GNN–TCN Framework for Enhanced Turbulent Flow Predictions.” IEEE Wireless and Optical Communications Conference (WOCC 2025), Macau, May 20–22 2025. DOI: 10.1109/WOCC63563.2025.11082218. [EI Compendex, Scopus]

  5. Qi Deng, Yinghao Zhang, Yalin Liu, Bishenghui Tao. “A Confidence-Constrained Cloud–Edge Collaborative Framework for Autism Spectrum Disorder Diagnosis.” International Conference on Networks, Communications and Intelligent Computing (NCIC 2025),

Teaching Experience

  • Teaching Assistant, COMP S382F/4820SEF, Hong Kong Metropolitan University, Spring 2026

Professional Activities

  • Reviewer, The 8th International Conference on Mechanical, Electric, and Industrial Engineering (MEIE 2025)
  • Reviewer, Scientific Reports

Awards & Honors

  • PGS by HKMU
  • Best Paper Award, NCIC 2025
  • Provincial Undergraduate Innovation Training Program (20,000 RMB, supervised by Prof. Xiaoling Zhang)
  • Third Prize, The 11th National College Student Mathematics Competition