Data-Driven Bike Sharing System Optimization: State of the Art and Future Opportunities. - Longbiao Chen; Zhihan Jiang; Jiangtao Wang 001; Yasha Wang (EWSN, 2019)

BikeNet: Accurate Bike Demand Prediction Using Graph Neural Networks for Station Rebalancing. - Ruiying Guo; Zhihan Jiang; Jingchun Huang; Jianrong Tao; Cheng Wang 003; Jonathan Li 001; Longbiao Chen (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2019)

iTV: Inferring Traffic Violation-Prone Locations with Vehicle Trajectory and Road Environment Data. - Zhihan Jiang; Longbiao Chen; Binbin Zhou; Jingchun Huang; Tianqi Xie; Xiaoliang Fan; Cheng Wang 003 (CoRR, 2020)

Understanding urban structures and crowd dynamics leveraging large-scale vehicle mobility data. - Zhihan Jiang; Yan Liu 043; Xiaoliang Fan; Cheng Wang 003; Jonathan Li 001; Longbiao Chen (Frontiers Comput. Sci., 2020)

CovidPass: A Contactless Check-in System for Keeping Social Distance in Public Health Crisis. - Xin He; Hong Hong; Yanwen Liu; Xiaojuan Ma; Zhihan Jiang; Longbiao Chen; Ming Cheng 002; Cheng Wang 003; Yongchuan Li (SmartWorld/SCALCOM/UIC/ATC/IOP/SCI, 2021)

UVLens: Urban Village Boundary Identification and Population Estimation Leveraging Open Government Data. - Longbiao Chen; Chenhui Lu; Fangxu Yuan; Zhihan Jiang; Leye Wang; Daqing Zhang 001; Ruixiang Luo; Xiaoliang Fan; Cheng Wang 003 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021)

Fog radio access network optimization for 5G leveraging user mobility and traffic data. - Longbiao Chen; Zhihan Jiang; Dingqi Yang; Cheng Wang 003; Thi Mai Trang Nguyen (J. Netw. Comput. Appl., 2021)

iTV: Inferring Traffic Violation-Prone Locations With Vehicle Trajectories and Road Environment Data. - Zhihan Jiang; Longbiao Chen; Binbin Zhou; Jinchun Huang; Tianqi Xie; Xiaoliang Fan; Cheng Wang 003 (IEEE Syst. J., 2021)

A Personalized Visual Aid for Selections of Appearance Building Products with Long-term Effects. - Chuhan Shi; Zhihan Jiang; Xiaojuan Ma; Qiong Luo 001 (CHI, 2022)

iTA: Inferring Traffic Accident Hotspots with Vehicle Trajectories and Road Environment Data. - Jiannan Gao; Yigao Wang; Zhihan Jiang; Hang Zhu; Qiyue Zhong; Xiaoliang Fan; Longbiao Chen; Cheng Wang 003 (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

Understanding Drivers' Visual and Comprehension Loads in Traffic Violation Hotspots Leveraging Crowd-Based Driving Simulation. - Zhihan Jiang; Xin He; Chenhui Lu; Binbin Zhou; Xiaoliang Fan; Cheng Wang 003; Xiaojuan Ma; Edith C. H. Ngai; Longbiao Chen (IEEE Trans. Intell. Transp. Syst., 2022)

A Health Profiling Framework for Children Leveraging Multimodal Learning Based on Ambient Sensor Signals. - Zhihan Jiang; Cong Xie; Edith C. H. Ngai (ICASSP Workshops, 2023)

Prism: Revealing Hidden Functional Clusters from Massive Instances in Cloud Systems. - Jinyang Liu 002; Zhihan Jiang; Jiazhen Gu; Junjie Huang 008; Zhuangbin Chen; Cong Feng; Zengyin Yang; Yongqiang Yang; Michael R. Lyu (ASE, 2023)

FedIN: Federated Intermediate Layers Learning for Model Heterogeneity. - Yun-Hin Chan; Zhihan Jiang; Jing Deng; Edith C. H. Ngai (CoRR, 2023)

Scalable and Adaptive Log-based Anomaly Detection with Expert in the Loop. - Jinyang Liu 002; Junjie Huang 008; Yintong Huo; Zhihan Jiang; Jiazhen Gu; Zhuangbin Chen; Cong Feng; Minzhi Yan; Michael R. Lyu (CoRR, 2023)

Exploring the Effectiveness of LLMs in Automated Logging Generation: An Empirical Study. - Yichen Li 003; Yintong Huo; Zhihan Jiang; Renyi Zhong; Pinjia He; Yuxin Su 001; Michael R. Lyu (CoRR, 2023)

HealthPrism: A Visual Analytics System for Exploring Children's Physical and Mental Health Profiles with Multimodal Data. - Zhihan Jiang; Handi Chen; Rui Zhou; Jing Deng; Xinchen Zhang; Running Zhao; Cong Xie; Yifang Wang 001; Edith C. H. Ngai (CoRR, 2023)

A Large-scale Benchmark for Log Parsing. - Zhihan Jiang; Jinyang Liu 002; Junjie Huang 008; Yichen Li 003; Yintong Huo; Jiazhen Gu; Zhuangbin Chen; Jieming Zhu; Michael R. Lyu (CoRR, 2023)

LLMParser: A LLM-based Log Parsing Framework. - Zhihan Jiang; Jinyang Liu 002; Zhuangbin Chen; Yichen Li 003; Junjie Huang 008; Yintong Huo; Pinjia He; Jiazhen Gu; Michael R. Lyu (CoRR, 2023)

Leveraging Machine Learning for Disease Diagnoses Based on Wearable Devices: A Survey. - Zhihan Jiang; Vera van Zoest; Weipeng Deng; Edith C. H. Ngai; Jiangchuan Liu (IEEE Internet Things J., 2023)

A Data-Driven Context-Aware Health Inference System for Children during School Closures. - Zhihan Jiang; Lin Lin 012; Xinchen Zhang; Jianduo Luan; Running Zhao; Longbiao Chen; James Lam; Ka-Man Yip; Hung-Kwan So; Wilfred H. S. Wong; Patrick Ip; Edith C. H. Ngai (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2023)

CrowdPatrol: A Mobile Crowdsensing Framework for Traffic Violation Hotspot Patrolling. - Zhihan Jiang; Hang Zhu; Binbin Zhou; Chenhui Lu; Mingfei Sun 001; Xiaojuan Ma; Xiaoliang Fan; Cheng Wang 003; Longbiao Chen (IEEE Trans. Mob. Comput., 2023)

RedPacketBike: A Graph-Based Demand Modeling and Crowd-Driven Station Rebalancing Framework for Bike Sharing Systems. - Hang Zhu; Tieqi Shou; Ruiying Guo; Zhihan Jiang; Zeyu Wang; Zhiyuan Wang 003; Zhiyong Yu 001; Weijie Zhang; Cheng Wang 003; Longbiao Chen (IEEE Trans. Mob. Comput., 2023)

CrowdQ: Predicting the Queue State of Hospital Emergency Department Using Crowdsensing Mobility Data-Driven Models. - Tieqi Shou; Zhuohan Ye; Yayao Hong; Zhiyuan Wang 003; Hang Zhu; Zhihan Jiang; Dingqi Yang; Binbin Zhou; Cheng Wang 003; Longbiao Chen (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2023)

Tracemesh: Scalable and Streaming Sampling for Distributed Traces. - Zhuangbin Chen; Zhihan Jiang; Yuxin Su 001; Michael R. Lyu; Zibin Zheng (CLOUD, 2024)

Curvature-Invariant Adversarial Attacks for 3D Point Clouds. - Jianping Zhang 002; Wenwei Gu; Yizhan Huang; Zhihan Jiang; Weibin Wu 002; Michael R. Lyu (AAAI, 2024)

Internal Cross-layer Gradients for Extending Homogeneity to Heterogeneity in Federated Learning. - Yun-Hin Chan; Rui Zhou; Running Zhao; Zhihan Jiang; Edith C. H. Ngai (ICLR, 2024)

FaultProfIT: Hierarchical Fault Profiling of Incident Tickets in Large-scale Cloud Systems. - Junjie Huang 008; Jinyang Liu 002; Zhuangbin Chen; Zhihan Jiang; Yichen Li 003; Jiazhen Gu; Cong Feng; Zengyin Yang; Yongqiang Yang; Michael R. Lyu (ICSE-SEIP, 2024)

AOC-IDS: Autonomous Online Framework with Contrastive Learning for Intrusion Detection. - Xinchen Zhang; Running Zhao; Zhihan Jiang; Zhicong Sun; Yulong Ding; Edith C. H. Ngai; Shuang-Hua Yang (INFOCOM, 2024)

Demystifying and Extracting Fault-indicating Information from Logs for Failure Diagnosis. - Junjie Huang 008; Zhihan Jiang; Jinyang Liu 002; Yintong Huo; Jiazhen Gu; Zhuangbin Chen; Cong Feng; Hui Dong; Zengyin Yang; Michael R. Lyu (ISSRE, 2024)

A Large-Scale Evaluation for Log Parsing Techniques: How Far Are We? - Zhihan Jiang; Jinyang Liu 002; Junjie Huang 008; Yichen Li 003; Yintong Huo; Jiazhen Gu; Zhuangbin Chen; Jieming Zhu; Michael R. Lyu (ISSTA, 2024)

ULog: Unsupervised Log Parsing with Large Language Models through Log Contrastive Units. - Junjie Huang 008; Zhihan Jiang; Zhuangbin Chen; Michael R. Lyu (CoRR, 2024)

Towards Edge General Intelligence via Large Language Models: Opportunities and Challenges. - Handi Chen; Weipeng Deng; Shuo Yang 011; Jinfeng Xu 003; Zhihan Jiang; Edith C. H. Ngai; Jiangchuan Liu; Xue Liu (CoRR, 2024)

Anomaly detection using isomorphic analysis for false data injection attacks in industrial control systems. - Xinchen Zhang; Zhihan Jiang; Yulong Ding; Edith C. H. Ngai; Shuang-Hua Yang (J. Frankl. Inst., 2024)

LILAC: Log Parsing using LLMs with Adaptive Parsing Cache. - Zhihan Jiang; Jinyang Liu 002; Zhuangbin Chen; Yichen Li 003; Junjie Huang 008; Yintong Huo; Pinjia He; Jiazhen Gu; Michael R. Lyu (Proc. ACM Softw. Eng., 2024)

Go Static: Contextualized Logging Statement Generation. - Yichen Li 003; Yintong Huo; Renyi Zhong; Zhihan Jiang; Jinyang Liu 002; Junjie Huang 008; Jiazhen Gu; Pinjia He; Michael R. Lyu (Proc. ACM Softw. Eng., 2024)

: A Visual Analytics System for Exploring Children's Physical and Mental Health Profiles with Multimodal Data. - Zhihan Jiang; Handi Chen; Rui Zhou; Jing Deng; Xinchen Zhang; Running Zhao; Cong Xie; Yifang Wang 001; Edith C. H. Ngai (IEEE Trans. Vis. Comput. Graph., 2024)

CrowdBot: An Open-Environment Robot Management System for On-Campus Services. - Yufei Wang; Wenting Zeng; Changzhen Liu; Zhuohan Ye; Jiawei Sun; Junxiang Ji; Zhihan Jiang; Xianyi Yan; Yongyi Wu; Yigao Wang; Dingqi Yang; Leye Wang; et al. (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2024)

On Quotients of Stochastic Networks Over Finite Fields. - Lin Lin 012; Zhihan Jiang; Hong Lin 001; Edith C. H. Ngai; James Lam (IEEE Trans. Control. Netw. Syst., 2024)

Exploring the Effectiveness of LLMs in Automated Logging Statement Generation: An Empirical Study. - Yichen Li 003; Yintong Huo; Zhihan Jiang; Renyi Zhong; Pinjia He; Yuxin Su 001; Lionel C. Briand; Michael R. Lyu (IEEE Trans. Software Eng., 2024)

LLMPrism: Black-box Performance Diagnosis for Production LLM Training Platforms. - Zhihan Jiang; Rui Ren; Guangba Yu; Yulun Wu; Wenwei Gu; Yichen Li 003; Yujie Huang; Cong Feng; Zengyin Yang; Yongqiang Yang; Michael R. Lyu (DSN-S, 2025)

COCA: Generative Root Cause Analysis for Distributed Systems with Code Knowledge. - Yichen Li 003; Yulun Wu; Jinyang Liu 002; Zhihan Jiang; Zhuangbin Chen; Guangba Yu; Michael R. Lyu (ICSE, 2025)

Continual Learning with Strategic Selection and Forgetting for Network Intrusion Detection. - Xinchen Zhang; Running Zhao; Zhihan Jiang; Handi Chen; Yulong Ding; Edith C. H. Ngai; Shuang-Hua Yang (INFOCOM, 2025)

Towards Mitigating API Hallucination in Code Generated by LLMs with Hierarchical Dependency Aware. - Yujia Chen; Mingyu Chen; Cuiyun Gao; Zhihan Jiang; Zhongqi Li; Yuchi Ma (SIGSOFT FSE Companion, 2025)

L4: Diagnosing Large-scale LLM Training Failures via Automated Log Analysis. - Zhihan Jiang; Junjie Huang 008; Guangba Yu; Zhuangbin Chen; Yichen Li 003; Renyi Zhong; Cong Feng; Yongqiang Yang; Zengyin Yang; Michael R. Lyu (SIGSOFT FSE Companion, 2025)

No More Labelled Examples? An Unsupervised Log Parser with LLMs. - Junjie Huang 008; Zhihan Jiang; Zhuangbin Chen; Michael R. Lyu (Proc. ACM Softw. Eng., 2025)

Connectivity Determination Algorithm for Complex Directed Networks. - Zhiyi Zhong; Lin Lin 012; Zhihan Jiang; Xin Yuan 008; Edith C. H. Ngai; James Lam; Ka-Wai Kwok (IEEE Trans. Netw. Sci. Eng., 2025)

DietGlance: Dietary Monitoring and Personalized Analysis at a Glance with Knowledge-Empowered AI Assistant. - Zhihan Jiang; Running Zhao; Lin Lin 012; Yue Yu; Handi Chen; Xinchen Zhang; Xuhai Xu; Yifang Wang 001; Xiaojuan Ma; Edith C. H. Ngai (CoRR, 2025)

L4: Diagnosing Large-scale LLM Training Failures via Automated Log Analysis. - Zhihan Jiang; Junjie Huang 008; Zhuangbin Chen; Yichen Li 003; Guangba Yu; Cong Feng; Yongqiang Yang; Zengyin Yang; Michael R. Lyu (CoRR, 2025)

LiteChain: A Lightweight Blockchain for Verifiable and Scalable Federated Learning in Massive Edge Networks. - Handi Chen; Rui Zhou; Yun-Hin Chan; Zhihan Jiang; Xianhao Chen; Edith C. H. Ngai (IEEE Trans. Mob. Comput., 2025)

Hierarchical Prediction-based Management for LMaaS Systems. - Zhihan Jiang; Yujie Huang; Guangba Yu; Junjie Huang 008; Jiazhen Gu; Michael R. Lyu (CoRR, 2025)

CCISolver: End-to-End Detection and Repair of Method-Level Code-Comment Inconsistency. - Renyi Zhong; Yintong Huo; Wenwei Gu; Jinxi Kuang; Zhihan Jiang; Guangba Yu; Yichen Li 003; David Lo 001; Michael R. Lyu (CoRR, 2025)

NoteIt: A System Converting Instructional Videos to Interactable Notes Through Multimodal Video Understanding. - Running Zhao; Zhihan Jiang; Xinchen Zhang; Chirui Chang; Handi Chen; Weipeng Deng; Luyao Jin; Xiaojuan Qi; Xun Qian; Edith C. H. Ngai (CoRR, 2025)