Fuzzy-neural tuned genetic algorithm applied to large-space constraint satisfaction. - Tiehua Zhang; William A. Gruver (SMC, 1998)

Latency estimation for fog-based internet of things. - Jianhua Li 002; Tiehua Zhang; Jiong Jin; Yingying Yang; Dong Yuan 001; Longxiang Gao (ITNAC, 2017)

RA-FSD: A Rate-Adaptive Fog Service Delivery Platform. - Tiehua Zhang; Jiong Jin; Yun Yang 001 (ICSOC, 2018)

ESDA: An Energy-Saving Data Analytics Fog Service Platform. - Tiehua Zhang; Zhishu Shen; Jiong Jin; Atsushi Tagami; Xi Zheng 001; Yun Yang 001 (ICSOC, 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)

Energy-Sustainable Fog System for Mobile Web Services in Infrastructure-Less Environments. - Qiushi Zheng; Jiong Jin; Tiehua Zhang; Jianhua Li 002; Longxiang Gao; Yong Xiang 001 (IEEE Access, 2019)

Realizing Video Analytic Service in the Fog-Based Infrastructure-Less Environments. - Qiushi Zheng; Jiong Jin; Tiehua Zhang; Longxiang Gao; Yong Xiang 001 (Fog-IoT, 2020)

Privacy-Aware Key Task Scheduling in Vehicular Networks Based on Incentive Mechanism. - Youhua Xia; Libing Wu; Jiong Jin; Tiehua Zhang; Xi Zheng 001 (HPCC/DSS/SmartCity, 2020)

A Democratically Collaborative Learning Scheme for Fog-enabled Pervasive Environments. - Tiehua Zhang; Zhishu Shen; Jiong Jin; James Xi Zheng (PerCom Workshops, 2020)

Rate-Adaptive Fog Service Platform for Heterogeneous IoT Applications. - Tiehua Zhang; Jiong Jin; Xi Zheng 001; Yun Yang 001 (IEEE Internet Things J., 2020)

STFL: A Temporal-Spatial Federated Learning Framework for Graph Neural Networks. - Guannan Lou; Yuze Liu; Tiehua Zhang; James Xi Zheng (CoRR, 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)

Achieving Democracy in Edge Intelligence: A Fog-Based Collaborative Learning Scheme. - Tiehua Zhang; Zhishu Shen; Jiong Jin; Xi Zheng 001; Atsushi Tagami; Xianghui Cao (IEEE Internet Things J., 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)

Deep Learning-Based Autonomous Driving Systems: A Survey of Attacks and Defenses. - Yao Deng; Tiehua Zhang; Guannan Lou; Xi Zheng 001; Jiong Jin; Qing-Long Han (IEEE Trans. Ind. Informatics, 2021)

AstBERT: Enabling Language Model for Code Understanding with Abstract Syntax Tree. - Rong Liang; Yujie Lu; Zhen Huang; Tiehua Zhang; Yuze Liu (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 001 (CoRR, 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)

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)

DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation. - Feng Zhu 011; Mingjie Zhong; Xinxing Yang; Longfei Li; Lu Yu 006; Tiehua Zhang; Jun Zhou 011; Chaochao Chen 001; Fei Wu 001; Guanfeng Liu 001; Yan Wang 002 (ICDE, 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 001 (CoRR, 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)

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)

Exploiting Spatial-Temporal Data for Sleep Stage Classification via Hypergraph Learning. - Yuze Liu; Ziming Zhao 010; Tiehua Zhang; Kang Wang; Xin Chen; Xiaowei Huang; Jun Yin; Zhishu Shen (ICASSP, 2024)

Multimodal Fusion via Hypergraph Autoencoder and Contrastive Learning for Emotion Recognition in Conversation. - Zijian Yi; Ziming Zhao 010; Zhishu Shen; Tiehua Zhang (ACM Multimedia, 2024)

UnSeg: One Universal Unlearnable Example Generator is Enough against All Image Segmentation. - Ye Sun; Hao Zhang 047; Tiehua Zhang; Xingjun Ma; Yu-Gang Jiang 001 (NeurIPS, 2024)

Towards Multi-agent Reinforcement Learning based Traffic Signal Control through Spatio-temporal Hypergraphs. - Kang Wang; Zhishu Shen; Zhen Lei; Tiehua Zhang (CoRR, 2024)

CHASE: A Causal Heterogeneous Graph based Framework for Root Cause Analysis in Multimodal Microservice Systems. - Ziming Zhao 010; Tiehua Zhang; Zhishu Shen; Hai Dong; Xingjun Ma; Xianhui Liu; Yun Yang 001 (CoRR, 2024)

Towards Secure and Efficient Data Scheduling for Vehicular Social Networks. - Youhua Xia; Tiehua Zhang; Jiong Jin; Ying He 006; Fei Yu (CoRR, 2024)

Towards Multi-agent Policy-based Directed Hypergraph Learning for Traffic Signal Control. - Kang Wang; Zhishu Shen; Zhenwei Wang; Tiehua Zhang (CoRR, 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 001; Jiong Jin (CoRR, 2024)

Collaborative UAVs Multi-task Video Processing Optimization Based on Enhanced Distributed Actor-Critic Networks. - Ziqi Rong; Qiushi Zheng; Zhishu Shen; Xiaolong Li; Tiehua Zhang; Zheng Lei; Jiong Jin (CoRR, 2024)

GRL-Prompt: Towards Knowledge Graph based Prompt Optimization via Reinforcement Learning. - Yuze Liu; Tingjie Liu; Tiehua Zhang; Youhua Xia; Jinze Wang; Zhishu Shen; Jiong Jin; Fei Richard Yu (CoRR, 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 001 (IEEE Trans. Artif. Intell., 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., 2024)

DSHGT: Dual-Supervisors Heterogeneous Graph Transformer - A Pioneer Study of Using Heterogeneous Graph Learning for Detecting Software Vulnerabilities. - Tiehua Zhang; Rui Xu; Jianping Zhang; Yuze Liu; Xin Chen; Jun Yin; Xi Zheng 001 (ACM Trans. Softw. Eng. Methodol., 2024)

HyperSMOTE: A Hypergraph-based Oversampling Approach for Imbalanced Node Classifications. - Ziming Zhao 010; Tiehua Zhang; Zijian Yi; Zhishu Shen (ICASSP, 2025)

GRL-Prompt: Towards Prompts Optimization via Graph-Empowered Reinforcement Learning Using LLMs' Feedback. - Yuze Liu; Tingjie Liu; Tiehua Zhang; Youhua Xia; Jinze Wang; Zhishu Shen; Jiong Jin; Zhijun Ding; Fei Richard Yu (PAKDD (7), 2025)

Grey-Box Fuzzing in Constrained Ultra-Large Systems: Lessons for SE Community. - Jiazhao Yu; Yanlun Tu; Zhanlei Zhang; Tiehua Zhang; Cheng Xu; Weigang Wu; Hong Jin Kang; Xi Zheng 001 (SIGSOFT FSE Companion, 2025)

Towards Secure and Efficient Data Scheduling for Vehicular Social Networks. - Youhua Xia; Tiehua Zhang; Jiong Jin; Ying He 006; F. Richard Yu (IEEE Trans. Veh. Technol., 2025)

Towards Constraint-Based Adaptive Hypergraph Learning for Solving Vehicle Routing: An End-to-End Solution. - Zhenwei Wang; Ruibin Bai; Tiehua Zhang (CoRR, 2025)

HyperMAN: Hypergraph-enhanced Meta-learning Adaptive Network for Next POI Recommendation. - Jinze Wang; Tiehua Zhang; Lu Zhang; Yang Bai; Xin Li; Jiong Jin (CoRR, 2025)

MetaSTH-Sleep: Towards Effective Few-Shot Sleep Stage Classification with Spatial-Temporal Hypergraph Enhanced Meta-Learning. - Jingyu Li; Tiehua Zhang; Jinze Wang; Yi Zhang; Yuhuan Li; Yifan Zhao; Zhishu Shen; Jiannan Liu (CoRR, 2025)

SAMA: Towards Multi-Turn Referential Grounded Video Chat with Large Language Models. - Ye Sun; Hao Zhang 047; Henghui Ding; Tiehua Zhang; Xingjun Ma; Yu-Gang Jiang 001 (CoRR, 2025)

Farm-LightSeek: An Edge-centric Multimodal Agricultural IoT Data Analytics Framework with Lightweight LLMs. - Dawen Jiang; Zhishu Shen; Qiushi Zheng; Tiehua Zhang; Wei Xiang 001; Jiong Jin (CoRR, 2025)

Learning from Heterogeneity: A Dynamic Learning Framework for Hypergraphs. - Tiehua Zhang; Yuze Liu; Zhishu Shen; Xingjun Ma; Peng Qi 001; Zhijun Ding; Jiong Jin (IEEE Trans. Artif. Intell., 2025)

A Semi-Supervised Federated Learning Framework with Hierarchical Clustering Aggregation for Heterogeneous Satellite Networks. - Zhuocheng Liu; Zhishu Shen; Qiushi Zheng; Tiehua Zhang; Zheng Lei; Jiong Jin (CoRR, 2025)

Toward Multi-Agent Reinforcement Learning Based Traffic Signal Control Through Spatio-Temporal Hypergraphs. - Kang Wang; Zhishu Shen; Zhen Lei; Xianhui Liu; Tiehua Zhang (IEEE Trans. Mob. Comput., 2025)