JIANG Zhihan

IoT Lab, EEE
The University of Hong Kong
zhjiang@connect.hku.hk

News

  • 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: I am very honored to share my story as a woman in STEM. Thank Pavel for the press release! [Facebook][WeChat][Instagram][LinkedIn]
  • 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.
  • Aug, 2021: One paper about mobile crowdsensing framework for traffic violation hotspot patrolling is accepted by IEEE TMC 2021!
  • June, 2021: Obtain the Master's degree from XMU! Also be awarded outstanding graduates!
  • Dec, 2020: Be awarded the National Scholarship!
  • Jul, 2018: Attend the Ubiquitous Computing and Big Data Summer School @ Peking University
  • Sept, 2018: Present a poster @ HHME2018, Tianjin, China.
  • Sept, 2018: Join Dr. Chen's Lab to pursue Master's degree at the Department of Computer Science and Technology, XMU.
  • June, 2018: Be awarded outstanding undergraduate thesis under the supervision of Dr. Chen.

About Me

Hello, I’m JIANG Zhihan. I'm currently a Ph.D. candidate in the IoT Lab at the University of Hong Kong, under the supervision of Prof. Edith C.H. NGAI. 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), Ubiquitous Computing (UbiComp), and Mobile Computing, with a focus on enhancing human-AI interaction and analytics systems. By integrating artificial intelligence, data visualization & analysis, and wearable sensing techniques, I aim to foster deeper understanding, effective interaction, and informed decision-making. My work addresses key challenges in areas such as Health & Wellness and Urban Computing, developing solutions tailored to both individual needs and broader public behaviors, ultimately shaping more responsive, adaptive systems that empower users 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]

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]
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]
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]
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]
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]
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]
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]
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]
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]

Selected Awards & Honors

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

Teaching

The University of Hong Kong, Teaching Assistant
Computer and Communication Networks2021/2022/2023/2024 Fall
Xiamen University, Teaching Assistant
Software Architecture and Design PatternsSpring 2019

Visiting

Research Visiting Student

  • Jun-Sept, 2020: Human-Computer Interaction Group, Hong Kong University of Science and Technology
  • Jan, 2019: Advanced Computing and System Laboratory, Zhejiang University

Summer School

  • Jul, 2018: Ubiquitous Computing and Big Data Summer School, Peking University

Community Service

Journal Reviewer

  • 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)
  • IEEE Internet of Things Journal (IoTJ)

Conference Reviewer

  • ACM Conference on Human Factors in Computing Systems (CHI), 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

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