Tiehua Zhang

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 31

Top Topics

Traffic Signal Control

Spatial Temporal

Service Platform

Top Venues

IEEE Internet Things J.

Publications

Kang Wang, Zhishu Shen, Zhen Lei, Tiehua Zhang
Towards Multi-agent Reinforcement Learning based Traffic Signal Control through Spatio-temporal Hypergraphs. CoRR (2024)
Ziming Zhao, Tiehua Zhang, Zhishu Shen, Hai Dong, Xingjun Ma, Xianhui Liu, Yun Yang
CHASE: A Causal Heterogeneous Graph based Framework for Root Cause Analysis in Multimodal Microservice Systems. CoRR (2024)
Tiehua Zhang, Yuze Liu, Zhishu Shen, Rui Xu, Xin Chen, Xiaowei Huang, Xi Zheng
An Adaptive Federated Relevance Framework for Spatial-Temporal Graph Learning. IEEE Trans. Artif. Intell. 5 (5) (2024)
Zhenwei Wang, Ruibin Bai, Fazlullah Khan, Ender Ozcan, Tiehua Zhang
GASE: Graph Attention Sampling with Edges Fusion for Solving Vehicle Routing Problems. CoRR (2024)
Yuze Liu, Ziming Zhao, Tiehua Zhang, Kang Wang, Xin Chen, Xiaowei Huang, Jun Yin, Zhishu Shen
Exploiting Spatial-Temporal Data for Sleep Stage Classification via Hypergraph Learning. ICASSP (2024)
Youhua Xia, Tiehua Zhang, Jiong Jin, Ying He, Fei Yu
Towards Secure and Efficient Data Scheduling for Vehicular Social Networks. CoRR (2024)
Tiehua Zhang, Yuze Liu, Zhishu Shen, Xingjun Ma, Xin Chen, Xiaowei Huang, Jun Yin, Jiong Jin
Learning from Heterogeneity: A Dynamic Learning Framework for Hypergraphs. CoRR (2023)
Feng Zhu, Mingjie Zhong, Xinxing Yang, Longfei Li, Lu Yu, Tiehua Zhang, Jun Zhou, Chaochao Chen, Fei Wu, Guanfeng Liu, Yan Wang
DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation. CoRR (2023)
Tiehua Zhang, Rui Xu, Jianping Zhang, Yuzhe Tian, Xin Chen, Xiaowei Huang, Jun Yin, Xi Zheng
DSHGT: Dual-Supervisors Heterogeneous Graph Transformer - A pioneer study of using heterogeneous graph learning for detecting software vulnerabilities. CoRR (2023)
Feng Zhu, Mingjie Zhong, Xinxing Yang, Longfei Li, Lu Yu, Tiehua Zhang, Jun Zhou, Chaochao Chen, Fei Wu, Guanfeng Liu, Yan Wang
DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation. ICDE (2023)
Yuze Liu, Ziming Zhao, Tiehua Zhang, Kang Wang, Xin Chen, Xiaowei Huang, Jun Yin, Zhishu Shen
Exploiting Spatial-temporal Data for Sleep Stage Classification via Hypergraph Learning. CoRR (2023)
Jingling Yuan, Hua Xiao, Zhishu Shen, Tiehua Zhang, Jiong Jin
ELECT: Energy-efficient intelligent edge-cloud collaboration for remote IoT services. Future Gener. Comput. Syst. 147 (2023)
Tiehua Zhang, Yuze Liu, Zhishu Shen, Rui Xu, Xin Chen, Xiaowei Huang, Xi Zheng
FedRel: An Adaptive Federated Relevance Framework for Spatial Temporal Graph Learning. CoRR (2022)
Youhua Xia, Tiehua Zhang, Libing Wu, James Xi Zheng, Jiong Jin
Privacy-Preserving Data Scheduling in Incentive-Driven Vehicular Network. IEEE Internet Things J. 9 (22) (2022)
Tiehua Zhang, Yuze Liu, Yao Yao, Youhua Xia, Xin Chen, Xiaowei Huang, Jiong Jin
Towards Relation-centered Pooling and Convolution for Heterogeneous Graph Learning Networks. CoRR (2022)
Rong Liang, Yujie Lu, Zhen Huang, Tiehua Zhang, Yuze Liu
AstBERT: Enabling Language Model for Code Understanding with Abstract Syntax Tree. CoRR (2022)
Guannan Lou, Yuze Liu, Tiehua Zhang, James Xi Zheng
STFL: A Temporal-Spatial Federated Learning Framework for Graph Neural Networks. CoRR (2021)
Yao Deng, Tiehua Zhang, Guannan Lou, Xi Zheng, Jiong Jin, Qing-Long Han
Deep Learning-Based Autonomous Driving Systems: A Survey of Attacks and Defenses. IEEE Trans. Ind. Informatics 17 (12) (2021)
Zhishu Shen, Tiehua Zhang, Atsushi Tagami, Jiong Jin
When RSSI encounters deep learning: An area localization scheme for pervasive sensing systems. J. Netw. Comput. Appl. 173 (2021)
Tiehua Zhang, Yuze Liu, Xin Chen, Xiaowei Huang, Feng Zhu, Xi Zheng
GPS: A Policy-driven Sampling Approach for Graph Representation Learning. CoRR (2021)
Tiehua Zhang, Zhishu Shen, Jiong Jin, Xi Zheng, Atsushi Tagami, Xianghui Cao
Achieving Democracy in Edge Intelligence: A Fog-Based Collaborative Learning Scheme. IEEE Internet Things J. 8 (4) (2021)
Yao Deng, Tiehua Zhang, Guannan Lou, Xi Zheng, Jiong Jin, Qing-Long Han
Deep Learning-Based Autonomous Driving Systems: A Survey of Attacks and Defenses. CoRR (2021)
Tiehua Zhang, Zhishu Shen, Jiong Jin, James Xi Zheng
A Democratically Collaborative Learning Scheme for Fog-enabled Pervasive Environments. PerCom Workshops (2020)
Tiehua Zhang, Jiong Jin, Xi Zheng, Yun Yang
Rate-Adaptive Fog Service Platform for Heterogeneous IoT Applications. IEEE Internet Things J. 7 (1) (2020)
Youhua Xia, Libing Wu, Jiong Jin, Tiehua Zhang, Xi Zheng
Privacy-Aware Key Task Scheduling in Vehicular Networks Based on Incentive Mechanism. HPCC/DSS/SmartCity (2020)
Qiushi Zheng, Jiong Jin, Tiehua Zhang, Longxiang Gao, Yong Xiang
Realizing Video Analytic Service in the Fog-Based Infrastructure-Less Environments. Fog-IoT (2020)
Tiehua Zhang, Zhishu Shen, Jiong Jin, Atsushi Tagami, Xi Zheng, Yun Yang
ESDA: An Energy-Saving Data Analytics Fog Service Platform. ICSOC (2019)
Qiushi Zheng, Jiong Jin, Tiehua Zhang, Jianhua Li, Longxiang Gao, Yong Xiang
Energy-Sustainable Fog System for Mobile Web Services in Infrastructure-Less Environments. IEEE Access 7 (2019)
Zhishu Shen, Tiehua Zhang, Jiong Jin, Kenji Yokota, Atsushi Tagami, Teruo Higashino
ICCF: An Information-Centric Collaborative Fog Platform for Building Energy Management Systems. IEEE Access 7 (2019)
Tiehua Zhang, Jiong Jin, Yun Yang
RA-FSD: A Rate-Adaptive Fog Service Delivery Platform. ICSOC (2018)
Jianhua Li, Tiehua Zhang, Jiong Jin, Yingying Yang, Dong Yuan, Longxiang Gao
Latency estimation for fog-based internet of things. ITNAC (2017)
Tiehua Zhang, William A. Gruver
Fuzzy-neural tuned genetic algorithm applied to large-space constraint satisfaction. SMC (1998)