Zhihan Jiang

According to our database, Zhihan Jiang authored at least 39 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

On Quotients of Stochastic Networks Over Finite Fields.

Lin Lin, Zhihan Jiang, Hong Lin, Edith C. H. Ngai, James Lam

IEEE Trans. Control. Netw. Syst., June, 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, Daqing Zhang, Cheng Wang, Longbiao Chen

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., May, 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, Edith C. H. Ngai

IEEE Trans. Vis. Comput. Graph., January, 2024

Go Static: Contextualized Logging Statement Generation.

Yichen Li, Yintong Huo, Renyi Zhong, Zhihan Jiang, Jinyang Liu, Junjie Huang, Jiazhen Gu, Pinjia He, Michael R. Lyu

Proc. ACM Softw. Eng., 2024

LILAC: Log Parsing using LLMs with Adaptive Parsing Cache.

Zhihan Jiang, Jinyang Liu, Zhuangbin Chen, Yichen Li, Junjie Huang, Yintong Huo, Pinjia He, Jiazhen Gu, Michael R. Lyu

Proc. ACM Softw. Eng., 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

Towards Edge General Intelligence via Large Language Models: Opportunities and Challenges.

Handi Chen, Weipeng Deng, Shuo Yang, Jinfeng Xu, Zhihan Jiang, Edith C. H. Ngai, Jiangchuan Liu, Xue Liu

CoRR, 2024

ULog: Unsupervised Log Parsing with Large Language Models through Log Contrastive Units.

Junjie Huang, Zhihan Jiang, Zhuangbin Chen, Michael R. Lyu

CoRR, 2024

A Large-Scale Evaluation for Log Parsing Techniques: How Far Are We?

Zhihan Jiang, Jinyang Liu, Junjie Huang, Yichen Li, Yintong Huo, Jiazhen Gu, Zhuangbin Chen, Jieming Zhu, Michael R. Lyu

Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

Demystifying and Extracting Fault-indicating Information from Logs for Failure Diagnosis.

Junjie Huang, Zhihan Jiang, Jinyang Liu, Yintong Huo, Jiazhen Gu, Zhuangbin Chen, Cong Feng, Hui Dong, Zengyin Yang, Michael R. Lyu

Proceedings of the 35th IEEE International Symposium on Software Reliability Engineering, 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

Proceedings of the IEEE INFOCOM 2024, 2024

FaultProfIT: Hierarchical Fault Profiling of Incident Tickets in Large-scale Cloud Systems.

Junjie Huang, Jinyang Liu, Zhuangbin Chen, Zhihan Jiang, Yichen Li, Jiazhen Gu, Cong Feng, Zengyin Yang, Yongqiang Yang, Michael R. Lyu

Proceedings of the 46th International Conference on Software Engineering: Software Engineering in Practice, 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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Curvature-Invariant Adversarial Attacks for 3D Point Clouds.

Jianping Zhang, Wenwei Gu, Yizhan Huang, Zhihan Jiang, Weibin Wu, Michael R. Lyu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Tracemesh: Scalable and Streaming Sampling for Distributed Traces.

Zhuangbin Chen, Zhihan Jiang, Yuxin Su, Michael R. Lyu, Zibin Zheng

Proceedings of the 17th IEEE International Conference on Cloud Computing, 2024

2023

CrowdQ: Predicting the Queue State of Hospital Emergency Department Using Crowdsensing Mobility Data-Driven Models.

Tieqi Shou, Zhuohan Ye, Yayao Hong, Zhiyuan Wang, Hang Zhu, Zhihan Jiang, Dingqi Yang, Binbin Zhou, Cheng Wang, Longbiao Chen

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., September, 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, Zhiyong Yu, Weijie Zhang, Cheng Wang, Longbiao Chen

IEEE Trans. Mob. Comput., July, 2023

CrowdPatrol: A Mobile Crowdsensing Framework for Traffic Violation Hotspot Patrolling.

Zhihan Jiang, Hang Zhu, Binbin Zhou, Chenhui Lu, Mingfei Sun, Xiaojuan Ma, Xiaoliang Fan, Cheng Wang, Longbiao Chen

IEEE Trans. Mob. Comput., March, 2023

A Data-Driven Context-Aware Health Inference System for Children during School Closures.

Zhihan Jiang, Lin Lin, 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., March, 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

LLMParser: A LLM-based Log Parsing Framework.

Zhihan Jiang, Jinyang Liu, Zhuangbin Chen, Yichen Li, Junjie Huang, Yintong Huo, Pinjia He, Jiazhen Gu, Michael R. Lyu

CoRR, 2023

A Large-scale Benchmark for Log Parsing.

Zhihan Jiang, Jinyang Liu, Junjie Huang, Yichen Li, Yintong Huo, Jiazhen Gu, Zhuangbin Chen, Jieming Zhu, 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, Edith C. H. Ngai

CoRR, 2023

Exploring the Effectiveness of LLMs in Automated Logging Generation: An Empirical Study.

Yichen Li, Yintong Huo, Zhihan Jiang, Renyi Zhong, Pinjia He, Yuxin Su, Michael R. Lyu

CoRR, 2023

Scalable and Adaptive Log-based Anomaly Detection with Expert in the Loop.

Jinyang Liu, Junjie Huang, Yintong Huo, Zhihan Jiang, Jiazhen Gu, Zhuangbin Chen, Cong Feng, Minzhi Yan, Michael R. Lyu

CoRR, 2023

FedIN: Federated Intermediate Layers Learning for Model Heterogeneity.

Yun-Hin Chan, Zhihan Jiang, Jing Deng, Edith C. H. Ngai

CoRR, 2023

Prism: Revealing Hidden Functional Clusters from Massive Instances in Cloud Systems.

Jinyang Liu, Zhihan Jiang, Jiazhen Gu, Junjie Huang, Zhuangbin Chen, Cong Feng, Zengyin Yang, Yongqiang Yang, Michael R. Lyu

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

A Health Profiling Framework for Children Leveraging Multimodal Learning Based on Ambient Sensor Signals.

Zhihan Jiang, Cong Xie, Edith C. H. Ngai

Proceedings of the IEEE International Conference on Acoustics, 2023

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, Xiaojuan Ma, Edith C. H. Ngai, Longbiao Chen

IEEE Trans. Intell. Transp. Syst., 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

Proceedings of the IEEE Smartworld, 2022

A Personalized Visual Aid for Selections of Appearance Building Products with Long-term Effects.

Chuhan Shi, Zhihan Jiang, Xiaojuan Ma, Qiong Luo

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

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

IEEE Syst. J., 2021

Fog radio access network optimization for 5G leveraging user mobility and traffic data.

Longbiao Chen, Zhihan Jiang, Dingqi Yang, Cheng Wang, Thi Mai Trang Nguyen

J. Netw. Comput. Appl., 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, Ruixiang Luo, Xiaoliang Fan, Cheng Wang

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021

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, Cheng Wang, Yongchuan Li

Proceedings of the 2021 IEEE SmartWorld, 2021

2020

Understanding urban structures and crowd dynamics leveraging large-scale vehicle mobility data.

Zhihan Jiang, Yan Liu, Xiaoliang Fan, Cheng Wang, Jonathan Li, Longbiao Chen

Frontiers Comput. Sci., 2020

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

CoRR, 2020

2019

BikeNet: Accurate Bike Demand Prediction Using Graph Neural Networks for Station Rebalancing.

Ruiying Guo, Zhihan Jiang, Jingchun Huang, Jianrong Tao, Cheng Wang, Jonathan Li, Longbiao Chen

Proceedings of the 2019 IEEE SmartWorld, 2019

Data-Driven Bike Sharing System Optimization: State of the Art and Future Opportunities.

Longbiao Chen, Zhihan Jiang, Jiangtao Wang, Yasha Wang

Proceedings of the 2019 International Conference on Embedded Wireless Systems and Networks, 2019