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Zhihan Jiang
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2020 – today
- 2024
- [j16]Yufei Wang
, Wenting Zeng
CrowdBot: An Open-Environment Robot Management System for On-Campus Services. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 8(2): 80:1-80:27 (2024) - [j15]Xinchen Zhang
Anomaly detection using isomorphic analysis for false data injection attacks in industrial control systems. J. Frankl. Inst. 361(13): 107000 (2024) - [j14]Zhihan Jiang
LILAC: Log Parsing using LLMs with Adaptive Parsing Cache. Proc. ACM Softw. Eng. 1(FSE): 137-160 (2024) - [j13]Yichen Li
Go Static: Contextualized Logging Statement Generation. Proc. ACM Softw. Eng. 1(FSE): 609-630 (2024) - [j12]Lin Lin
On Quotients of Stochastic Networks Over Finite Fields. IEEE Trans. Control. Netw. Syst. 11(2): 878-889 (2024) - [j11]Zhihan Jiang
: A Visual Analytics System for Exploring Children's Physical and Mental Health Profiles with Multimodal Data. IEEE Trans. Vis. Comput. Graph. 30(1): 1205-1215 (2024) - [c13]Zhuangbin Chen, Zhihan Jiang, Yuxin Su, Michael R. Lyu, Zibin Zheng:
Tracemesh: Scalable and Streaming Sampling for Distributed Traces. CLOUD 2024: 54-65 - [c12]Jianping Zhang, Wenwei Gu, Yizhan Huang, Zhihan Jiang, Weibin Wu, Michael R. Lyu:
Curvature-Invariant Adversarial Attacks for 3D Point Clouds. AAAI 2024: 7142-7150 - [c11]Yun-Hin Chan, Rui Zhou, Running Zhao, Zhihan Jiang, Edith C. H. Ngai:
Internal Cross-layer Gradients for Extending Homogeneity to Heterogeneity in Federated Learning. ICLR 2024 - [c10]Junjie Huang
FaultProfIT: Hierarchical Fault Profiling of Incident Tickets in Large-scale Cloud Systems. ICSE-SEIP 2024: 392-404 - [c9]Xinchen Zhang, Running Zhao, Zhihan Jiang, Zhicong Sun, Yulong Ding, Edith C. H. Ngai, Shuang-Hua Yang:
AOC-IDS: Autonomous Online Framework with Contrastive Learning for Intrusion Detection. INFOCOM 2024: 581-590 - [c8]Zhihan Jiang
A Large-Scale Evaluation for Log Parsing Techniques: How Far Are We? ISSTA 2024: 223-234 - [i15]Xinchen Zhang, Running Zhao, Zhihan Jiang, Zhicong Sun, Yulong Ding, Edith C. H. Ngai, Shuang-Hua Yang:
AOC-IDS: Autonomous Online Framework with Contrastive Learning for Intrusion Detection. CoRR abs/2402.01807 (2024) - [i14]Yichen Li, Yintong Huo, Renyi Zhong, Zhihan Jiang, Jinyang Liu, Junjie Huang, Jiazhen Gu, Pinjia He, Michael R. Lyu:
Go Static: Contextualized Logging Statement Generation. CoRR abs/2402.12958 (2024) - [i13]Junjie Huang, Jinyang Liu, Zhuangbin Chen, Zhihan Jiang, Yichen Li, Jiazhen Gu, Cong Feng, Zengyin Yang, Yongqiang Yang, Michael R. Lyu:
FaultProfIT: Hierarchical Fault Profiling of Incident Tickets in Large-scale Cloud Systems. CoRR abs/2402.17583 (2024) - [i12]Zhuangbin Chen, Zhihan Jiang, Yuxin Su, Michael R. Lyu, Zibin Zheng:
TraceMesh: Scalable and Streaming Sampling for Distributed Traces. CoRR abs/2406.06975 (2024) - [i11]Junjie Huang, Zhihan Jiang, Zhuangbin Chen, Michael R. Lyu:
ULog: Unsupervised Log Parsing with Large Language Models through Log Contrastive Units. CoRR abs/2406.07174 (2024) - [i10]Junjie Huang, Zhihan Jiang, Jinyang Liu, Yintong Huo, Jiazhen Gu, Zhuangbin Chen, Cong Feng, Hui Dong, Zengyin Yang, Michael R. Lyu:
Demystifying and Extracting Fault-indicating Information from Logs for Failure Diagnosis. CoRR abs/2409.13561 (2024) - 2023
- [j10]Zhihan Jiang
A Data-Driven Context-Aware Health Inference System for Children during School Closures. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7(1): 18:1-18:26 (2023) - [j9]Tieqi Shou
CrowdQ: Predicting the Queue State of Hospital Emergency Department Using Crowdsensing Mobility Data-Driven Models. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7(3): 122:1-122:28 (2023) - [j8]Zhihan Jiang
Leveraging Machine Learning for Disease Diagnoses Based on Wearable Devices: A Survey. IEEE Internet Things J. 10(24): 21959-21981 (2023) - [j7]Zhihan Jiang
CrowdPatrol: A Mobile Crowdsensing Framework for Traffic Violation Hotspot Patrolling. IEEE Trans. Mob. Comput. 22(3): 1401-1416 (2023) - [j6]Hang Zhu
RedPacketBike: A Graph-Based Demand Modeling and Crowd-Driven Station Rebalancing Framework for Bike Sharing Systems. IEEE Trans. Mob. Comput. 22(7): 4236-4252 (2023) - [c7]Zhihan Jiang, Cong Xie, Edith C. H. Ngai:
A Health Profiling Framework for Children Leveraging Multimodal Learning Based on Ambient Sensor Signals. ICASSP Workshops 2023: 1-4 - [c6]Jinyang Liu
Prism: Revealing Hidden Functional Clusters from Massive Instances in Cloud Systems. ASE 2023: 268-280 - [i9]Yun-Hin Chan, Zhihan Jiang, Jing Deng, Edith C. H. Ngai:
FedIN: Federated Intermediate Layers Learning for Model Heterogeneity. CoRR abs/2304.00759 (2023) - [i8]Jinyang Liu, Junjie Huang, Yintong Huo, Zhihan Jiang, Jiazhen Gu, Zhuangbin Chen, Cong Feng, Minzhi Yan, Michael R. Lyu:
Scalable and Adaptive Log-based Anomaly Detection with Expert in the Loop. CoRR abs/2306.05032 (2023) - [i7]Yichen Li, Yintong Huo, Zhihan Jiang, Renyi Zhong, Pinjia He, Yuxin Su, Michael R. Lyu:
Exploring the Effectiveness of LLMs in Automated Logging Generation: An Empirical Study. CoRR abs/2307.05950 (2023) - [i6]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. CoRR abs/2307.12242 (2023) - [i5]Jinyang Liu, Zhihan Jiang, Jiazhen Gu, Junjie Huang, Zhuangbin Chen, Cong Feng, Zengyin Yang, Yongqiang Yang, Michael R. Lyu:
Prism: Revealing Hidden Functional Clusters from Massive Instances in Cloud Systems. CoRR abs/2308.07638 (2023) - [i4]Zhihan Jiang, Jinyang Liu, Junjie Huang, Yichen Li, Yintong Huo, Jiazhen Gu, Zhuangbin Chen, Jieming Zhu, Michael R. Lyu:
A Large-scale Benchmark for Log Parsing. CoRR abs/2308.10828 (2023) - [i3]Yun-Hin Chan, Rui Zhou
Internal Cross-layer Gradients for Extending Homogeneity to Heterogeneity in Federated Learning. CoRR abs/2308.11464 (2023) - [i2]Zhihan Jiang, Jinyang Liu, Zhuangbin Chen, Yichen Li, Junjie Huang, Yintong Huo, Pinjia He, Jiazhen Gu, Michael R. Lyu:
LLMParser: A LLM-based Log Parsing Framework. CoRR abs/2310.01796 (2023) - 2022
- [j5]Zhihan Jiang
Understanding Drivers' Visual and Comprehension Loads in Traffic Violation Hotspots Leveraging Crowd-Based Driving Simulation. IEEE Trans. Intell. Transp. Syst. 23(12): 23369-23383 (2022) - [c5]Chuhan Shi, Zhihan Jiang, Xiaojuan Ma, Qiong Luo
A Personalized Visual Aid for Selections of Appearance Building Products with Long-term Effects. CHI 2022: 74:1-74:18 - [c4]Jiannan Gao, Yigao Wang, Zhihan Jiang, Hang Zhu, Qiyue Zhong, Xiaoliang Fan, Longbiao Chen, Cheng Wang:
iTA: Inferring Traffic Accident Hotspots with Vehicle Trajectories and Road Environment Data. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta 2022: 1496-1501 - 2021
- [j4]Longbiao Chen
UVLens: Urban Village Boundary Identification and Population Estimation Leveraging Open Government Data. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5(2): 57:1-57:26 (2021) - [j3]Longbiao Chen
Fog radio access network optimization for 5G leveraging user mobility and traffic data. J. Netw. Comput. Appl. 191: 103083 (2021) - [j2]Zhihan Jiang
iTV: Inferring Traffic Violation-Prone Locations With Vehicle Trajectories and Road Environment Data. IEEE Syst. J. 15(3): 3913-3924 (2021) - [c3]Xin He, Hong Hong, Yanwen Liu, Xiaojuan Ma, Zhihan Jiang, Longbiao Chen, Ming Cheng, Cheng Wang, Yongchuan Li:
CovidPass: A Contactless Check-in System for Keeping Social Distance in Public Health Crisis. SmartWorld/SCALCOM/UIC/ATC/IOP/SCI 2021: 83-88 - 2020
- [j1]Zhihan Jiang, Yan Liu, Xiaoliang Fan, Cheng Wang, Jonathan Li
Understanding urban structures and crowd dynamics leveraging large-scale vehicle mobility data. Frontiers Comput. Sci. 14(5): 145310 (2020) - [i1]Zhihan Jiang, Longbiao Chen, Binbin Zhou, Jingchun Huang, Tianqi Xie, Xiaoliang Fan, Cheng Wang:
iTV: Inferring Traffic Violation-Prone Locations with Vehicle Trajectory and Road Environment Data. CoRR abs/2005.12387 (2020)
2010 – 2019
- 2019
- [c2]Longbiao Chen, Zhihan Jiang, Jiangtao Wang, Yasha Wang:
Data-Driven Bike Sharing System Optimization: State of the Art and Future Opportunities. EWSN 2019: 347-350 - [c1]Ruiying Guo, Zhihan Jiang, Jingchun Huang, Jianrong Tao, Cheng Wang, Jonathan Li
BikeNet: Accurate Bike Demand Prediction Using Graph Neural Networks for Station Rebalancing. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2019: 686-693
Coauthor Index
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last updated on 2024-11-13 23:52 CET by the dblp team
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