JIANG Zhihan

The University of Hong Kong
zhjiang@connect.hku.hk

News

  • May, 2025: Excited to have arrived at the Department of Biomedical Informatics (DBMI) at Columbia University Medical Center (CUIMC) in New York City!
  • Mar, 2025: One co-author paper about connectivity determination algorithm for complex directed networks is accepted by IEEE TNSE. Congrat to Zhiyi and Lin!
  • Mar, 2025: Very happy to have the opportunity to visit Dr. Xu's SEA Lab at Columbia University!
  • Feb, 2025: One co-author paper about the opportunities and challenges in Edge General Intelligence is accepted by IEEE Network Magazine. Congrat to Handi and Weipeng!
  • Dec, 2024: One co-author paper about continual learning with strategic selection and forgetting for network intrusion detection is accepted by Infocom 2025. Congrat to Xinchen!
  • Nov, 2024: Our feasibility study for diagnosing Attention-Deficit/Hyperactivity Disorder (ADHD) in adolescents using commercial activity trackers has been accepted by Journal of American Academy of Child & Adolescent Psychiatry Open. Thanks to Adrienne & Prof. Wong's team (Department of Pharmacology and Pharmacy @ HKU)!
  • Oct, 2024: One co-author paper about a lightweight blockchain for verifiable and scalable federated learning in massive edge networks is accepted by IEEE TMC. Congrat to Handi!
  • July, 2024: I am very happy and honored to have been selected as one of the recipients of the HKU Foundation First Year Excellent PhD Award!
  • Jun, 2024: I give a talk at Tam Wing Fan Innovation Wing Two @ HKU titled "Empowering Pervasive Healthcare: Mobile Analytics Systems Leveraging Multimodal Data". [Poster]
  • Jun, 2024: One co-author paper about an anomaly detection system using isomorphic analysis for false data injection attacks in industrial control systems is accepted by Journal of the Franklin Institute. Congrat to Xinchen!
  • Apr, 2024: One co-author paper about an open-environment robot management system for on-campus services is accepted by ACM IMWUT 2024. Congrat to Yufei & Prof. Chen's team!
  • Jan, 2024: One co-author paper about internal cross-layer gradients for extending homogeneity to heterogeneity in Federated Learning is accepted by ICLR 2024. Congrat to Yun-Hin!
    • [OpenReview]
  • Dec, 2023: One co-author paper about an autonomous online framework with contrastive learning for intrusion detection is accepted by Infocom 2024. Congrat to Xinchen!
  • Dec, 2023: News release of our work on Health Inference System during School Closures on @HKUniversity on Twitter 📢! [Link]
  • Oct, 2023: Presented our work HealthPrism at IEEE VIS 2023 😄! [Demo]
  • Oct, 2023: Presented our work at UbiComp 2023. It was the first time I presented at an international conference😄! [Presentations][Poster]
  • Sep, 2023: One survey paper about disease diagnoses using wearable devices and machine learning is accepted by IEEE IoTJ!
  • Aug, 2023: I give a talk at MARS Group @ Xiamen University titled "Interactive Visual Analytics for Healthcare with Multimodal Data".
  • July, 2023: One co-author paper about the stability of stochastic finite-field networks is accepted by IEEE TCNS. Congrat to Lin & Prof. Lam!
  • July, 2023: One co-author paper about predicting the queue state of hospital emergency department using crowdsensing mobility data-driven models is accepted by ACM IMWUT 2023. Congrat to Tieqi & Prof. Chen's team!
  • July, 2023: One paper about visual analytics of children's health with multimodal data is accepted by IEEE VIS 2023. See you in Melbourne, Australia!
  • June, 2023: Present a poster at Ambient AI Workshop @ ICASSP2023, Rhodes, Greece.
  • May, 2023: Pass the RPG probationary interview! My Ph.D. candidature is confirmed on 01 March 2023.
  • Jan, 2023: One paper about children's health inference during school closures is accepted by ACM IMWUT 2023. Thanks to Prof. Ip's team (Department of Paediatrics & Adolescent Medicine @ HKU)!
    • See you in UbiComp/ISWC 2023 at Cancun, Mexico!
  • Aug, 2022: One paper about understanding drivers’ visual and comprehension Loads in traffic violation hotspots is accepted by IEEE TITS 2022!
  • Aug, 2022: One paper about identifying the high-risk population for COVID-19 transmission in Hong Kong is accepted by Healthcare 2022. Thanks to Ka Man & Dr. So's team (Department of Paediatrics & Adolescent Medicine @ HKU)!
  • May, 2022: One co-author paper about graph-based demand modeling and station rebalancing for bike sharing system is accepted by IEEE TMC 2022. Congrat to Hang & Prof. Chen's team!
  • Feb, 2022: One co-author paper about personalized visual aid for appearance building products selection is accepted by CHI 2022. Congrat to Chuhan & Prof. Ma!
  • Sept, 2021: Attend the virtual conference UbiComp/ISWC 2021 as co-author.
  • Sept, 2021: Join Dr. Ngai's IoT Lab to pursue Ph.D. degree at the Department of Electrical and Electronic Engineering, HKU.

About Me

Hello, I’m JIANG Zhihan. I'm currently a final-year Ph.D. candidate at the Dept. of Electrical and Electronic Engineering, the University of Hong Kong, under the supervision of Prof. Edith C.H. NGAI, and a visiting student at the Dept. of Biomedical Informatics, Columbia University, hosted by Prof. Xuhai Orson Xu. I received the bachelor and master degrees in Computer Science and Technology from Xiamen University under the supervision of Prof. Longbiao CHEN.

My research lies at the intersection of Human-Computer Interaction (HCI), Data Visualization (VIS), and Ubiquitous Computing (UbiComp), with a focus on developing analytics systems to empower biomedical and pervasive healthcare through human-AI collaboration. By integrating artificial intelligence, multimodal data visualization & analysis, and wearable sensing techniques, I aim to support deep insights, effective clinical interaction, and evidence-based decision-making. My work addresses key challenges in Digital Health & Personalized Medicine, developing solutions tailored to both individual needs and broader public behaviors, ultimately shaping more responsive and interpretable systems that empower individuals and communities.

I always welcome the opportunity for research collaboration and I'm eager to explore potential research ideas. If you're interested, please feel free to drop me an email.

Education

2021—PresentPh.D.The University of Hong Kong, Electrical and Electronic Engineering
Advisor: Edith C.H. Ngai, Faculty of Engineering
2018—2021M.E.Xiamen University, Computer Science & Technology
Advisor: Longbiao Chen, School of Informatics
2014—2018B.E.Xiamen University, Computer Science & Technology
School of Informatics
Minor Xiamen University, Mathematical Finance
 The Wang Yanan Institute for Studies in Economics

Selected Publications [Click here to view the full list] [Google Scholar]

Zhihan Jiang*, Running Zhao*, Lin Lin, Yue Yu, Handi Chen, Xinchen Zhang, Xuhai "Orson" Xu, Yifang Wang, Xiaojuan Ma, Edith CH Ngai. DietGlance: Dietary Monitoring and Personalized Analysis at a Glance with Knowledge-Empowered AI Assistant. arXiv:2502.01317. [link]
Keywords: Multimodal Wearable Sensing, Large Language Model (LLM), Retrieval-Augmented Generation (RAG), Interactive Interface, Qualitative & Quantitative Study.
Zhihan Jiang, Vera van Zoest, Weipeng Deng, Edith C.H. Ngai, Jiangchuan Liu. Leveraging Machine Learning for Disease Diagnoses based on Wearable Devices: A Survey. IEEE Internet of Things Journal, 2023 (IoTJ'23). [link][pdf]
Keywords: Wearable Sensing, Machine Learning, Disease Diagnosis.
Zhihan Jiang, Handi Chen, Rui Zhou, Jing Deng, Xinchen Zhang, Running Zhao, Cong Xie, Yifang Wang, Edith C.H. Ngai. HealthPrism: A Visual Analytics System for Exploring Children's Physical and Mental Health Profiles with Multimodal Data. IEEE Transactions on Visualization and Computer Graphics, 2023 (IEEE VIS'23). [arXiv][demo][link][appendix]
Keywords: Multimodal Learning, Interactive Interface, Multimodal Data Visualization and Analysis, Qualitative & Quantitative Study.
Zhihan Jiang, Lin Lin, Xinchen Zhang, Jianduo Luan, Running Zhao, Longbiao Chen, James Lam, Ka Man Yip, Hung Kwan So, Wilfred HS Wong, Patrick Ip, Edith C.H. Ngai. A Data-Driven Context-Aware Health Inference System for Children during School Closures. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, vol.7, issue 1, no.18, 2023 (UbiComp'23). [link][pdf][presentation][poster]
Keywords: Explainable Machine Learning, Multimodal Data Visualization & Analysis, Health Inference.
Zhihan Jiang, Xin He, Chenhui Lu, Binbin Zhou, Xiaoliang Fan, Cheng Wang, Xiaojuan Ma, Edith C.H. Ngai, Longbiao Chen. Understanding Drivers’ Visual and Comprehension Loads in Traffic Violation Hotspots Leveraging Crowd-Based Driving Simulation. IEEE Transactions on Intelligent Transportation Systems, 2022 (TITS'23). [link][pdf]
Keywords: 3D Point Clouds, Crowdsensing, Driving Simulator, Large-Scale Data Visualization & Analysis, Computer Vision, Qualitative & Quantitative Study.
Zhihan Jiang, Hang Zhu, Binbin Zhou, Chenhui Lu, Mingfei Sun, Xiaojuan Ma, Xiaoliang Fan, Cheng Wang, Longbiao Chen. CrowdPatrol: A Mobile Crowdsensing Framework for Traffic Violation Hotspot Patrolling. IEEE Transactions on Mobile Computing, 2021 (TMC'22). [link][pdf][system][patrol routes]
Keywords: Mobile Crowdsensing, Spatial Clustering, Context-Aware Learning, Convex Optimization.
Zhihan Jiang, Longbiao Chen, Binbin Zhou, Jinchun Huang, Tianqi Xie, Xiaoliang Fan, Cheng Wang. iTV: Inferring Traffic Violation-Prone Locations with Vehicle Trajectories and Road Environment. IEEE Systems Journal, 2020 (ISJ'20). [link][pdf][system][traffic signs]
Keywords: Large-Scale Data Visualization & Analysis, Map Matching, Computer Vision, Crowdsensing.
Zhihan Jiang, Yan Liu, Xiaoliang Fan, Cheng Wang, Jonathan Li, Longbiao Chen. Understanding Urban Structures and Crowd Dynamics Leveraging Large-Scale Vehicle Mobility Data. Frontiers of Computer Science, 2020 (FCS'20). [link][pdf][system]
Keywords: Large-Scale Data Visualization & Analysis, Spatial Clustering, Mobility Patterns, Event Detection.
Chuhan Shi, Zhihan Jiang, Xiaojuan Ma, Qiong Luo. A Personalized Visual Aid for Selections of Appearance Building Products with Long-term Effects. Proceedings of the ACM Conference on Human Factors in Computing Systems, 2022 (CHI'22). [link][pdf]
Keywords: Personalized Visual Aid, Virtual Try-On, Pipeline Design and Implementation, Qualitative & Quantitative Study.
Longbiao Chen, Zhihan Jiang, Dingqi Yang, Thi-Mai-Trang Nguyen, Cheng Wang. Fog Radio Access Network Optimization for 5G Leveraging User Mobility and Traffic Data. Journal of Network and Computer Applications, 2021 (JNCA'21). [link][pdf][system]
Keywords: Network Optimization, Fog-Computing-Based Radio Access Network, Spatiotemporal Clustering, Large-Scale Data Visualization & Analysis.

Selected Awards & Honors

2024 HKU Foundation First Year Excellent PhD Award
2023 IEEE VIS Inclusivity and Diversity Scholarship
2021-2025 Postgraduate Scholarship
2021 Outstanding Graduates, Outstanding Graudate Thesis
2020 National Scholarship
2018 Outstanding Undergraduate Thesis
2017 Academic Innovation Scholarship, Second Class Academic Excellence Scholarship
2015, 2016, 2018 First Class Academic Excellence Scholarship (three times)

Academic Service

Journal Reviewer

  • ACM Transactions on Computing for Healthcare (HEALTH)
  • IEEE Transactions on Visualization and Computer Graphics (TVCG)
  • IEEE Transactions on Intelligent Transportation Systems (TITS)
  • IEEE Transactions on Industrial Informatics (TII)
  • IEEE Transactions on Computational Social Systems (TCSS)
  • IEEE Transactions on Mobile Computing (TMC)
  • Proc. of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT)
  • Journal of Network and Computer Applications (JNCA)
  • IEEE Internet of Things Journal (IoTJ)

Conference Reviewer

  • International Joint Conference on Neural Networks (IJCNN), 2025
  • ACM Conference on Human Factors in Computing Systems (CHI), 2025
  • ACM International Conference on Tangible, Embedded, and Embodied Interaction (TEI), 2025
  • IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024-2025
  • IEEE International Conference on Ubiquitous Intelligence and Computing (UIC), 2020-2022
  • Chinese Conference on Computer Supported Cooperative Work and Social Computing (ChineseCSCW), 2020
  • IEEE International Conference on Communications - NGNI Symposium (ICC-NGNI), 2020

Student Volunteer

  • China3DV, 2021

Presentations

Conference Talk

  • "A Visual Analytics System for Exploring Children’s Physical and Mental Health Profiles with Multimodal Data"
    • IEEE VIS 2023, Melbourne, Australia, Oct, 2023
  • "A Data-Driven Context-Aware Health Inference System for Children during School Closures"
    • UbiComp/ISWC 2023, Cancún, Mexico, Oct, 2023

Seminar

  • "Empowering Pervasive Healthcare: Mobile Analytics Systems Leveraging Multimodal Data"
    • Department of Electrical and Electronic Engineering, The University of Hong Kong, Oct, 2023
    • Tam Wing Fan Innovation Wing Two, The University of Hong Kong, Jun, 2024

Invited Talk

  • "Interactive Visual Analytics for Healthcare with Multimodal Data"
    • MARS Group, Xiamen University, Aug, 2023

Poster

  • "A Health Profiling Framework for Children Leveraging Multimodal Learning Based on Ambient Sensor Signals"
    • Ambient AI Workshop @ ICASSP2023, Rhodes, Greece, Jun, 2023
  • "Post-Disaster Traffic Visualization and Analysis based on Large-Scale Vehicle Trajectory Data"
    • The 14th Joint Conference on Harmonious Human-Machine Environment, Tianjin, China, Sept, 2018