Tiehua Zhang

67 papers A* 4A 4B 1C 1Misc 3Journal 49Unranked 5
YearRankTypeTitle / Venue / Authors
2026 A* conf
A Structure-Agnostic Co-Tuning Framework for LLMs and SLMs in Cloud-Edge Systems.
WWW
Yuze Liu, Yunhan Wang, Tiehua Zhang, Zhishu Shen, Cheng Peng, Libing Wu, Feng Xia, Jiong Jin
2026 J jnl
Constraints Matrix Diffusion based Generative Neural Solver for Vehicle Routing Problems.
CoRR
Zhenwei Wang, Tiehua Zhang, Ning Xue, Ender Ozcan, Ling Wang, Ruibin Bai
2026 J jnl
Heterogeneous Hypergraph Multi-Agent Learning for UAV Collaboration in Disaster Scenarios.
IEEE Trans. Netw. Sci. Eng.
Ziqi Rong, Zhishu Shen, Wanwei Zhan, Qiushi Zheng, Tiehua Zhang, Jiong Jin
2026 J jnl
ML-ECS: A Collaborative Multimodal Learning Framework for Edge-Cloud Synergies.
CoRR
Yuze Liu, Shibo Chu, Tiehua Zhang, Hao Zhou, Zhishu Shen, Jinze Wang, Jianzhong Qi, Feng Xia
2025 J jnl
A Semi-Supervised Federated Learning Framework with Hierarchical Clustering Aggregation for Heterogeneous Satellite Networks.
CoRR
Zhuocheng Liu, Zhishu Shen, Qiushi Zheng, Tiehua Zhang, Zheng Lei, Jiong Jin
2025 J jnl
A Structure-Agnostic Co-Tuning Framework for LLMs and SLMs in Cloud-Edge Systems.
CoRR
Yuze Liu, Yunhan Wang, Tiehua Zhang, Zhishu Shen, Cheng Peng, Libing Wu, Feng Xia, Jiong Jin
2025 A conf
DHLight: Multi-Agent Policy-Based Directed Hypergraph Learning for Traffic Signal Control.
ECAI
Zhen Lei, Zhishu Shen, Kang Wang, Zhenwei Wang, Tiehua Zhang
2025 J jnl
Do We Really Need SFT? Prompt-as-Policy over Knowledge Graphs for Cold-start Next POI Recommendation.
CoRR
Jinze Wang, Lu Zhang, Yiyang Cui, Zhishu Shen, Xingjun Ma, Jiong Jin, Tiehua Zhang
2025 J jnl
Farm-LightSeek: An Edge-Centric Multimodal Agricultural IoT Data Analytics Framework With Lightweight LLMs.
IEEE Internet Things Mag.
Dawen Jiang, Zhishu Shen, Qiushi Zheng, Tiehua Zhang, Wei Xiang, Jiong Jin
2025 J jnl
Farm-LightSeek: An Edge-centric Multimodal Agricultural IoT Data Analytics Framework with Lightweight LLMs.
CoRR
Dawen Jiang, Zhishu Shen, Qiushi Zheng, Tiehua Zhang, Wei Xiang, Jiong Jin
2025 — conf
GRL-Prompt: Towards Prompts Optimization via Graph-Empowered Reinforcement Learning Using LLMs' Feedback.
PAKDD (7)
Yuze Liu, Tingjie Liu, Tiehua Zhang, Youhua Xia, Jinze Wang, Zhishu Shen, Jiong Jin, Zhijun Ding, Fei Richard Yu
2025 — conf
Grey-Box Fuzzing in Constrained Ultra-Large Systems: Lessons for SE Community.
SIGSOFT FSE Companion
Jiazhao Yu, Yanlun Tu, Zhanlei Zhang, Tiehua Zhang, Cheng Xu, Weigang Wu, Hong Jin Kang, Xi Zheng
2025 J jnl
Grey-Box Fuzzing in Constrained Ultra-Large Systems: Lessons for SE Community.
CoRR
Jiazhao Yu, Yanlun Tu, Zhanlei Zhang, Tiehua Zhang, Cheng Xu, Weigang Wu, Hong Jin Kang, Xi Zheng
2025 A conf
HyperMAN: Hypergraph-enhanced Meta-learning Adaptive Network for Next POI Recommendation.
ICME
Jinze Wang, Tiehua Zhang, Lu Zhang, Yang Bai, Xin Li, Jiong Jin
2025 J jnl
HyperMAN: Hypergraph-enhanced Meta-learning Adaptive Network for Next POI Recommendation.
CoRR
Jinze Wang, Tiehua Zhang, Lu Zhang, Yang Bai, Xin Li, Jiong Jin
2025 Misc conf
HyperSMOTE: A Hypergraph-based Oversampling Approach for Imbalanced Node Classifications.
ICASSP
Ziming Zhao, Tiehua Zhang, Zijian Yi, Zhishu Shen
2025 J jnl
Learning from Heterogeneity: A Dynamic Learning Framework for Hypergraphs.
IEEE Trans. Artif. Intell.
Tiehua Zhang, Yuze Liu, Zhishu Shen, Xingjun Ma, Peng Qi, Zhijun Ding, Jiong Jin
2025 J jnl
MetaSTH-Sleep: Towards Effective Few-Shot Sleep Stage Classification with Spatial-Temporal Hypergraph Enhanced Meta-Learning.
CoRR
Jingyu Li, Tiehua Zhang, Jinze Wang, Yi Zhang, Yuhuan Li, Yifan Zhao, Zhishu Shen, Jiannan Liu
2025 C conf
Multi-Robot Fault Diagnosis using Federated Graph Learning with Fused Adjacency Matrix.
INDIN
Xiaoxue Mei, Jiong Jin, Jonathan Kua, Xianfeng Yuan, Tiehua Zhang
2025 J jnl
SAMA: Towards Multi-Turn Referential Grounded Video Chat with Large Language Models.
CoRR
Ye Sun, Hao Zhang, Henghui Ding, Tiehua Zhang, Xingjun Ma, Yu-Gang Jiang
2025 J jnl
Toward Multi-Agent Reinforcement Learning Based Traffic Signal Control Through Spatio-Temporal Hypergraphs.
IEEE Trans. Mob. Comput.
Kang Wang, Zhishu Shen, Zhen Lei, Xianhui Liu, Tiehua Zhang
2025 J jnl
Towards Constraint-Based Adaptive Hypergraph Learning for Solving Vehicle Routing: An End-to-End Solution.
CoRR
Zhenwei Wang, Ruibin Bai, Tiehua Zhang
2025 J jnl
Towards Heterogeneity-Aware and Energy-Efficient Topology Optimization for Decentralized Federated Learning in Edge Environment.
CoRR
Yuze Liu, Tiehua Zhang, Zhishu Shen, Libing Wu, Shiping Chen, Jiong Jin
2025 J jnl
Towards Secure and Efficient Data Scheduling for Vehicular Social Networks.
IEEE Trans. Veh. Technol.
Youhua Xia, Tiehua Zhang, Jiong Jin, Ying He, F. Richard Yu
2025 J jnl
Towards spatial-temporal meta-hypergraph learning for multimodal few-shot fault diagnosis.
J. Ind. Inf. Integr.
Jinze Wang, Jiong Jin, Lu Zhang, Hong-Ning Dai, Adriano Di Pietro, Tiehua Zhang
2024 J jnl
An Adaptive Federated Relevance Framework for Spatial-Temporal Graph Learning.
IEEE Trans. Artif. Intell.
Tiehua Zhang, Yuze Liu, Zhishu Shen, Rui Xu, Xin Chen, Xiaowei Huang, Xi Zheng
2024 J jnl
CHASE: A Causal Heterogeneous Graph based Framework for Root Cause Analysis in Multimodal Microservice Systems.
CoRR
Ziming Zhao, Tiehua Zhang, Zhishu Shen, Hai Dong, Xingjun Ma, Xianhui Liu, Yun Yang
2024 J jnl
Collaborative UAVs Multi-task Video Processing Optimization Based on Enhanced Distributed Actor-Critic Networks.
CoRR
Ziqi Rong, Qiushi Zheng, Zhishu Shen, Xiaolong Li, Tiehua Zhang, Zheng Lei, Jiong Jin
2024 Misc conf
Exploiting Spatial-Temporal Data for Sleep Stage Classification via Hypergraph Learning.
ICASSP
Yuze Liu, Ziming Zhao, Tiehua Zhang, Kang Wang, Xin Chen, Xiaowei Huang, Jun Yin, Zhishu Shen
2024 J jnl
GASE: Graph Attention Sampling with Edges Fusion for Solving Vehicle Routing Problems.
CoRR
Zhenwei Wang, Ruibin Bai, Fazlullah Khan, Ender Ozcan, Tiehua Zhang
2024 J jnl
GRL-Prompt: Towards Knowledge Graph based Prompt Optimization via Reinforcement Learning.
CoRR
Yuze Liu, Tingjie Liu, Tiehua Zhang, Youhua Xia, Jinze Wang, Zhishu Shen, Jiong Jin, Fei Richard Yu
2024 J jnl
Gase: graph attention sampling with edges fusion for solving vehicle routing problems.
Memetic Comput.
Zhenwei Wang, Ruibin Bai, Fazlullah Khan, Ender Özcan, Tiehua Zhang
2024 J jnl
HyperSMOTE: A Hypergraph-based Oversampling Approach for Imbalanced Node Classifications.
CoRR
Ziming Zhao, Tiehua Zhang, Zijian Yi, Zhishu Shen
2024 J jnl
Leveraging Auxiliary Task Relevance for Enhanced Industrial Fault Diagnosis through Curriculum Meta-learning.
CoRR
Jinze Wang, Tiehua Zhang, Boon Xian Chai, Adriano Di Pietro, Dimitrios Georgakopoulos, Jiong Jin
2024 A* conf
Multimodal Fusion via Hypergraph Autoencoder and Contrastive Learning for Emotion Recognition in Conversation.
ACM Multimedia
Zijian Yi, Ziming Zhao, Zhishu Shen, Tiehua Zhang
2024 J jnl
Multimodal Fusion via Hypergraph Autoencoder and Contrastive Learning for Emotion Recognition in Conversation.
CoRR
Zijian Yi, Ziming Zhao, Zhishu Shen, Tiehua Zhang
2024 J jnl
Towards Multi-agent Policy-based Directed Hypergraph Learning for Traffic Signal Control.
CoRR
Kang Wang, Zhishu Shen, Zhenwei Wang, Tiehua Zhang
2024 J jnl
Towards Multi-agent Reinforcement Learning based Traffic Signal Control through Spatio-temporal Hypergraphs.
CoRR
Kang Wang, Zhishu Shen, Zhen Lei, Tiehua Zhang
2024 J jnl
Towards Secure and Efficient Data Scheduling for Vehicular Social Networks.
CoRR
Youhua Xia, Tiehua Zhang, Jiong Jin, Ying He, Fei Yu
2024 A* conf
UnSeg: One Universal Unlearnable Example Generator is Enough against All Image Segmentation.
NeurIPS
Ye Sun, Hao Zhang, Tiehua Zhang, Xingjun Ma, Yu-Gang Jiang
2024 J jnl
UnSeg: One Universal Unlearnable Example Generator is Enough against All Image Segmentation.
CoRR
Ye Sun, Hao Zhang, Tiehua Zhang, Xingjun Ma, Yu-Gang Jiang
2023 A* conf
DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation.
ICDE
Feng Zhu, Mingjie Zhong, Xinxing Yang, Longfei Li, Lu Yu, Tiehua Zhang, Jun Zhou, Chaochao Chen, Fei Wu, Guanfeng Liu, Yan Wang
2023 J jnl
DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation.
CoRR
Feng Zhu, Mingjie Zhong, Xinxing Yang, Longfei Li, Lu Yu, Tiehua Zhang, Jun Zhou, Chaochao Chen, Fei Wu, Guanfeng Liu, Yan Wang
2023 J jnl
DSHGT: Dual-Supervisors Heterogeneous Graph Transformer - A pioneer study of using heterogeneous graph learning for detecting software vulnerabilities.
CoRR
Tiehua Zhang, Rui Xu, Jianping Zhang, Yuzhe Tian, Xin Chen, Xiaowei Huang, Jun Yin, Xi Zheng
2023 J jnl
ELECT: Energy-efficient intelligent edge-cloud collaboration for remote IoT services.
Future Gener. Comput. Syst.
Jingling Yuan, Hua Xiao, Zhishu Shen, Tiehua Zhang, Jiong Jin
2023 J jnl
Exploiting Spatial-temporal Data for Sleep Stage Classification via Hypergraph Learning.
CoRR
Yuze Liu, Ziming Zhao, Tiehua Zhang, Kang Wang, Xin Chen, Xiaowei Huang, Jun Yin, Zhishu Shen
2023 J jnl
Learning from Heterogeneity: A Dynamic Learning Framework for Hypergraphs.
CoRR
Tiehua Zhang, Yuze Liu, Zhishu Shen, Xingjun Ma, Xin Chen, Xiaowei Huang, Jun Yin, Jiong Jin
2022 J jnl
AstBERT: Enabling Language Model for Code Understanding with Abstract Syntax Tree.
CoRR
Rong Liang, Yujie Lu, Zhen Huang, Tiehua Zhang, Yuze Liu
2022 J jnl
FedRel: An Adaptive Federated Relevance Framework for Spatial Temporal Graph Learning.
CoRR
Tiehua Zhang, Yuze Liu, Zhishu Shen, Rui Xu, Xin Chen, Xiaowei Huang, Xi Zheng
2022 J jnl
Privacy-Preserving Data Scheduling in Incentive-Driven Vehicular Network.
IEEE Internet Things J.
Youhua Xia, Tiehua Zhang, Libing Wu, James Xi Zheng, Jiong Jin
2022 J jnl
Towards Relation-centered Pooling and Convolution for Heterogeneous Graph Learning Networks.
CoRR
Tiehua Zhang, Yuze Liu, Yao Yao, Youhua Xia, Xin Chen, Xiaowei Huang, Jiong Jin
2021 J jnl
Achieving Democracy in Edge Intelligence: A Fog-Based Collaborative Learning Scheme.
IEEE Internet Things J.
Tiehua Zhang, Zhishu Shen, Jiong Jin, Xi Zheng, Atsushi Tagami, Xianghui Cao
2021 J jnl
Deep Learning-Based Autonomous Driving Systems: A Survey of Attacks and Defenses.
CoRR
Yao Deng, Tiehua Zhang, Guannan Lou, Xi Zheng, Jiong Jin, Qing-Long Han
2021 J jnl
Deep Learning-Based Autonomous Driving Systems: A Survey of Attacks and Defenses.
IEEE Trans. Ind. Informatics
Yao Deng, Tiehua Zhang, Guannan Lou, Xi Zheng, Jiong Jin, Qing-Long Han
2021 J jnl
GPS: A Policy-driven Sampling Approach for Graph Representation Learning.
CoRR
Tiehua Zhang, Yuze Liu, Xin Chen, Xiaowei Huang, Feng Zhu, Xi Zheng
2021 J jnl
STFL: A Temporal-Spatial Federated Learning Framework for Graph Neural Networks.
CoRR
Guannan Lou, Yuze Liu, Tiehua Zhang, James Xi Zheng
2021 J jnl
When RSSI encounters deep learning: An area localization scheme for pervasive sensing systems.
J. Netw. Comput. Appl.
Zhishu Shen, Tiehua Zhang, Atsushi Tagami, Jiong Jin
2020 — conf
A Democratically Collaborative Learning Scheme for Fog-enabled Pervasive Environments.
PerCom Workshops
Tiehua Zhang, Zhishu Shen, Jiong Jin, James Xi Zheng
2020 — conf
Privacy-Aware Key Task Scheduling in Vehicular Networks Based on Incentive Mechanism.
HPCC/DSS/SmartCity
Youhua Xia, Libing Wu, Jiong Jin, Tiehua Zhang, Xi Zheng
2020 J jnl
Rate-Adaptive Fog Service Platform for Heterogeneous IoT Applications.
IEEE Internet Things J.
Tiehua Zhang, Jiong Jin, Xi Zheng, Yun Yang
2020 — conf
Realizing Video Analytic Service in the Fog-Based Infrastructure-Less Environments.
Fog-IoT
Qiushi Zheng, Jiong Jin, Tiehua Zhang, Longxiang Gao, Yong Xiang
2019 A conf
ESDA: An Energy-Saving Data Analytics Fog Service Platform.
ICSOC
Tiehua Zhang, Zhishu Shen, Jiong Jin, Atsushi Tagami, Xi Zheng, Yun Yang
2019 J jnl
Energy-Sustainable Fog System for Mobile Web Services in Infrastructure-Less Environments.
IEEE Access
Qiushi Zheng, Jiong Jin, Tiehua Zhang, Jianhua Li, Longxiang Gao, Yong Xiang
2019 J jnl
ICCF: An Information-Centric Collaborative Fog Platform for Building Energy Management Systems.
IEEE Access
Zhishu Shen, Tiehua Zhang, Jiong Jin, Kenji Yokota, Atsushi Tagami, Teruo Higashino
2018 A conf
RA-FSD: A Rate-Adaptive Fog Service Delivery Platform.
ICSOC
Tiehua Zhang, Jiong Jin, Yun Yang
2017 Misc conf
Latency estimation for fog-based internet of things.
ITNAC
Jianhua Li, Tiehua Zhang, Jiong Jin, Yingying Yang, Dong Yuan, Longxiang Gao
1998 B conf
Fuzzy-neural tuned genetic algorithm applied to large-space constraint satisfaction.
SMC
Tiehua Zhang, William A. Gruver