Tiehua Zhang

According to our database, Tiehua Zhang authored at least 34 papers between 1998 and 2024.

Collaborative distances:

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

2024

Gase: graph attention sampling with edges fusion for solving vehicle routing problems.

Zhenwei Wang, Ruibin Bai, Fazlullah Khan, Ender Özcan, Tiehua Zhang

Memetic Comput., September, 2024

An Adaptive Federated Relevance Framework for Spatial-Temporal Graph Learning.

Tiehua Zhang, Yuze Liu, Zhishu Shen, Rui Xu, Xin Chen, Xiaowei Huang, Xi Zheng

IEEE Trans. Artif. Intell., May, 2024

Leveraging Auxiliary Task Relevance for Enhanced Industrial Fault Diagnosis through Curriculum Meta-learning.

Jinze Wang, Tiehua Zhang, Boon Xian Chai, Adriano Di Pietro, Dimitrios Georgakopoulos, Jiong Jin

CoRR, 2024

UnSeg: One Universal Unlearnable Example Generator is Enough against All Image Segmentation.

Ye Sun, Hao Zhang, Tiehua Zhang, Xingjun Ma, Yu-Gang Jiang

CoRR, 2024

HyperSMOTE: A Hypergraph-based Oversampling Approach for Imbalanced Node Classifications.

Ziming Zhao, Tiehua Zhang, Zijian Yi, Zhishu Shen

CoRR, 2024

Towards Multi-agent Policy-based Directed Hypergraph Learning for Traffic Signal Control.

Kang Wang, Zhishu Shen, Zhenwei Wang, Tiehua Zhang

CoRR, 2024

Towards Secure and Efficient Data Scheduling for Vehicular Social Networks.

Youhua Xia, Tiehua Zhang, Jiong Jin, Ying He, Fei Yu

CoRR, 2024

CHASE: A Causal Heterogeneous Graph based Framework for Root Cause Analysis in Multimodal Microservice Systems.

Ziming Zhao, Tiehua Zhang, Zhishu Shen, Hai Dong, Xingjun Ma, Xianhui Liu, Yun Yang

CoRR, 2024

Towards Multi-agent Reinforcement Learning based Traffic Signal Control through Spatio-temporal Hypergraphs.

Kang Wang, Zhishu Shen, Zhen Lei, Tiehua Zhang

CoRR, 2024

Multimodal Fusion via Hypergraph Autoencoder and Contrastive Learning for Emotion Recognition in Conversation.

Zijian Yi, Ziming Zhao, Zhishu Shen, Tiehua Zhang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Exploiting Spatial-Temporal Data for Sleep Stage Classification via Hypergraph Learning.

Yuze Liu, Ziming Zhao, Tiehua Zhang, Kang Wang, Xin Chen, Xiaowei Huang, Jun Yin, Zhishu Shen

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

ELECT: Energy-efficient intelligent edge-cloud collaboration for remote IoT services.

Jingling Yuan, Hua Xiao, Zhishu Shen, Tiehua Zhang, Jiong Jin

Future Gener. Comput. Syst., 2023

Learning from Heterogeneity: A Dynamic Learning Framework for Hypergraphs.

Tiehua Zhang, Yuze Liu, Zhishu Shen, Xingjun Ma, Xin Chen, Xiaowei Huang, Jun Yin, Jiong Jin

CoRR, 2023

DSHGT: Dual-Supervisors Heterogeneous Graph Transformer - A pioneer study of using heterogeneous graph learning for detecting software vulnerabilities.

Tiehua Zhang, Rui Xu, Jianping Zhang, Yuzhe Tian, Xin Chen, Xiaowei Huang, Jun Yin, Xi Zheng

CoRR, 2023

DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation.

Feng Zhu, Mingjie Zhong, Xinxing Yang, Longfei Li, Lu Yu, Tiehua Zhang, Jun Zhou, Chaochao Chen, Fei Wu, Guanfeng Liu, Yan Wang

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

Privacy-Preserving Data Scheduling in Incentive-Driven Vehicular Network.

Youhua Xia, Tiehua Zhang, Libing Wu, James Xi Zheng, Jiong Jin

IEEE Internet Things J., 2022

Towards Relation-centered Pooling and Convolution for Heterogeneous Graph Learning Networks.

Tiehua Zhang, Yuze Liu, Yao Yao, Youhua Xia, Xin Chen, Xiaowei Huang, Jiong Jin

CoRR, 2022

FedRel: An Adaptive Federated Relevance Framework for Spatial Temporal Graph Learning.

Tiehua Zhang, Yuze Liu, Zhishu Shen, Rui Xu, Xin Chen, Xiaowei Huang, Xi Zheng

CoRR, 2022

AstBERT: Enabling Language Model for Code Understanding with Abstract Syntax Tree.

Rong Liang, Yujie Lu, Zhen Huang, Tiehua Zhang, Yuze Liu

CoRR, 2022

2021

Deep Learning-Based Autonomous Driving Systems: A Survey of Attacks and Defenses.

Yao Deng, Tiehua Zhang, Guannan Lou, Xi Zheng, Jiong Jin, Qing-Long Han

IEEE Trans. Ind. Informatics, 2021

When RSSI encounters deep learning: An area localization scheme for pervasive sensing systems.

Zhishu Shen, Tiehua Zhang, Atsushi Tagami, Jiong Jin

J. Netw. Comput. Appl., 2021

Achieving Democracy in Edge Intelligence: A Fog-Based Collaborative Learning Scheme.

Tiehua Zhang, Zhishu Shen, Jiong Jin, Xi Zheng, Atsushi Tagami, Xianghui Cao

IEEE Internet Things J., 2021

GPS: A Policy-driven Sampling Approach for Graph Representation Learning.

Tiehua Zhang, Yuze Liu, Xin Chen, Xiaowei Huang, Feng Zhu, Xi Zheng

CoRR, 2021

STFL: A Temporal-Spatial Federated Learning Framework for Graph Neural Networks.

Guannan Lou, Yuze Liu, Tiehua Zhang, James Xi Zheng

CoRR, 2021

2020

Rate-Adaptive Fog Service Platform for Heterogeneous IoT Applications.

Tiehua Zhang, Jiong Jin, Xi Zheng, Yun Yang

IEEE Internet Things J., 2020

A Democratically Collaborative Learning Scheme for Fog-enabled Pervasive Environments.

Tiehua Zhang, Zhishu Shen, Jiong Jin, James Xi Zheng

Proceedings of the 2020 IEEE International Conference on Pervasive Computing and Communications Workshops, 2020

Privacy-Aware Key Task Scheduling in Vehicular Networks Based on Incentive Mechanism.

Youhua Xia, Libing Wu, Jiong Jin, Tiehua Zhang, Xi Zheng

Proceedings of the 22nd IEEE International Conference on High Performance Computing and Communications; 18th IEEE International Conference on Smart City; 6th IEEE International Conference on Data Science and Systems, 2020

Realizing Video Analytic Service in the Fog-Based Infrastructure-Less Environments.

Qiushi Zheng, Jiong Jin, Tiehua Zhang, Longxiang Gao, Yong Xiang

Proceedings of the 2nd Workshop on Fog Computing and the IoT, 2020

2019

Energy-Sustainable Fog System for Mobile Web Services in Infrastructure-Less Environments.

Qiushi Zheng, Jiong Jin, Tiehua Zhang, Jianhua Li, Longxiang Gao, Yong Xiang

IEEE Access, 2019

ICCF: An Information-Centric Collaborative Fog Platform for Building Energy Management Systems.

Zhishu Shen, Tiehua Zhang, Jiong Jin, Kenji Yokota, Atsushi Tagami, Teruo Higashino

IEEE Access, 2019

ESDA: An Energy-Saving Data Analytics Fog Service Platform.

Tiehua Zhang, Zhishu Shen, Jiong Jin, Atsushi Tagami, Xi Zheng, Yun Yang

Proceedings of the Service-Oriented Computing - 17th International Conference, 2019

2018

RA-FSD: A Rate-Adaptive Fog Service Delivery Platform.

Tiehua Zhang, Jiong Jin, Yun Yang

Proceedings of the Service-Oriented Computing - 16th International Conference, 2018

2017

Latency estimation for fog-based internet of things.

Jianhua Li, Tiehua Zhang, Jiong Jin, Yingying Yang, Dong Yuan, Longxiang Gao

Proceedings of the 27th International Telecommunication Networks and Applications Conference, 2017

1998

Fuzzy-neural tuned genetic algorithm applied to large-space constraint satisfaction.

Tiehua Zhang, William A. Gruver

Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998