CTES Factorization Algorithm. - Vincenzo Tamma; Heyi Zhang; Xuehua He; Augusto Garuccio; Yanhua Shih (QuantumComm, 2009)

Teachers' Views on Supporting Self-Regulated Learning in Early Childhood Science Education. - Audrey K. Kittredge; Natalie Day; Lenka Janik Blaskova; Heyi Zhang; Sara Baker (ICLS, 2018)

UoL-XJTLU students' Knowledge, Attitude and Practice for the anti-COVID-19 policies of UK and China. - Heyi Zhang; Siqi Li; Yuhan He; Youlyu Liang (ISAIMS, 2021)

A Bidirectional Question-Answering System using Large Language Models and Knowledge Graphs. - Lifan Han; Xin Wang 030; Zhao Li 009; Heyi Zhang; Zirui Chen (APWeb/WAIM Workshops, 2023)

RAC-BERT: Character Radical Enhanced BERT for Ancient Chinese. - Lifan Han; Xin Wang 030; Meng Wang 009; Zhao Li 009; Heyi Zhang; Zirui Chen; Xiaowang Zhang (NLPCC (2), 2023)

Reflective Integration of English in Postgraduate Electrical Engineering Core Courses. - Wei Fang; Shakeel Ahmad; Heyi Zhang; Samee Ur Rehman; Duolun Li; Jinsong Tao (ICEED, 2024)

Qibo: A Large Language Model for Traditional Chinese Medicine. - Heyi Zhang; Xin Wang 030; Zhaopeng Meng; Yongzhe Jia; Dawei Xu (CoRR, 2024)

Integrating Blockchain and Deep Learning Into Extremely Resource-Constrained IoT: An Energy-Saving Zero-Knowledge PoL Approach. - Heyi Zhang; Jun Wu 001; Xi Lin 003; Ali Kashif Bashir; Yasser D. Al-Otaibi (IEEE Internet Things J., 2024)

Long-Short-GNN: A Novel Graph Neural Network for Detecting FPGA IP Circuits for Hardware Assurance. - Heyi Zhang; Tong Lin 001; Feng Ji; Deruo Cheng; Yiqiong Shi; Bah-Hwee Gwee (ISCAS, 2025)

Lightweight and Scalable Secure Aggregation for Federated Learning. - Heyi Zhang; Jun Wu 001; Li Ding (SmartCloud, 2025)

Byzantine-Resilient Differentially Private Federated Learning: A Dual-Phase Group-Wise Aggregation Approach. - Heyi Zhang; Jun Wu 001; Qianqian Pan (WASA (3), 2025)

Qibo: A Large Language Model for traditional Chinese medicine. - Yongzhe Jia; Xiangyu Ji; Xin Wang 030; Heyi Zhang; Zhaopeng Meng; Junhua Zhang; Zhe Chen; Pengwei Zhuang; Dawei Xu; Wenbin Guo; Yuting Yan; Jianguo Wei (Expert Syst. Appl., 2025)

SoK: Benchmarking Poisoning Attacks and Defenses in Federated Learning. - Heyi Zhang; Yule Liu; Xinlei He 001; Jun Wu 001; Tianshuo Cong; Xinyi Huang 001 (CoRR, 2025)

Toward Byzantine-Robust Distributed Learning for Sentiment Classification on Social Media Platform. - Heyi Zhang; Jun Wu 001; Qianqian Pan; Ali Kashif Bashir; Marwan Omar (IEEE Trans. Comput. Soc. Syst., 2025)