Twin-GAN for Neural Machine Translation. - Jiaxu Zhao 002; Li Huang 002; Ruixuan Sun; Liao Bing; Hong Qu (ICAART (2), 2021)

You Can Have Better Graph Neural Networks by Not Training Weights at All: Finding Untrained GNNs Tickets. - Tianjin Huang; Tianlong Chen 001; Meng Fang; Vlado Menkovski; Jiaxu Zhao 002; Lu Yin 006; Yulong Pei; Decebal Constantin Mocanu; Zhangyang Wang; Mykola Pechenizkiy; Shiwei Liu 003 (LoG, 2022)

Sequential multi-headed attention for entity-based relational neural networks. - Dagmawi Moges; Jiaxu Zhao 002; Hong Qu (Expert Syst. J. Knowl. Eng., 2022)

CHBias: Bias Evaluation and Mitigation of Chinese Conversational Language Models. - Jiaxu Zhao 002; Meng Fang; Zijing Shi; Yitong Li; Ling Chen 006; Mykola Pechenizkiy (ACL (1), 2023)

REST: Enhancing Group Robustness in DNNs Through Reweighted Sparse Training. - Jiaxu Zhao 002; Lu Yin 006; Shiwei Liu 003; Meng Fang; Mykola Pechenizkiy (ECML/PKDD (2), 2023)

GPTBIAS: A Comprehensive Framework for Evaluating Bias in Large Language Models. - Jiaxu Zhao 002; Meng Fang; Shirui Pan; Wenpeng Yin 001; Mykola Pechenizkiy (CoRR, 2023)

More than Minorities and Majorities: Understanding Multilateral Bias in Language Generation. - Jiaxu Zhao 002; Zijing Shi; Yitong Li; Yulong Pei; Ling Chen 006; Meng Fang; Mykola Pechenizkiy (ACL (Findings), 2024)

CHAmbi: A New Benchmark on Chinese Ambiguity Challenges for Large Language Models. - Qin Zhang; Sihan Cai; Jiaxu Zhao 002; Mykola Pechenizkiy; Meng Fang (EMNLP (Findings), 2024)

Synergizing Foundation Models and Federated Learning: A Survey. - Shenghui Li; Fanghua Ye 001; Meng Fang; Jiaxu Zhao 002; Yun-Hin Chan; Edith C. H. Ngai; Thiemo Voigt (CoRR, 2024)

Understanding Large Language Model Vulnerabilities to Social Bias Attacks. - Jiaxu Zhao 002; Meng Fang; Fanghua Ye 001; Ke Xu; Qin Zhang; Joey Tianyi Zhou; Mykola Pechenizkiy (ACL (1), 2025)

Unmasking Style Sensitivity: A Causal Analysis of Bias Evaluation Instability in Large Language Models. - Jiaxu Zhao 002; Meng Fang; Kun Zhang; Mykola Pechenizkiy (ACL (1), 2025)

Empirical Study of Social Bias in Medical Question Answering via Large Language Models. - Xiao Xiao; Jiaxu Zhao 002; Terry R. Payne; Meng Fang (AIiH (1), 2025)

FS-GNN: Improving Fairness in Graph Neural Networks via Joint Sparsification. - Jiaxu Zhao 002; Tianjin Huang; Shiwei Liu 003; Jie Yin 001; Yulong Pei; Meng Fang; Mykola Pechenizkiy (Neurocomputing, 2025)

Enhancing long-form question answering via reflection with question decomposition. - Junjie Xiao; Wei Wu; Jiaxu Zhao 002; Meng Fang; Jianxin Wang (Inf. Process. Manag., 2025)

On Adversarial Robustness of Language Models in Transfer Learning. - Bohdan Turbal; Anastasiia Mazur; Jiaxu Zhao 002; Mykola Pechenizkiy (CoRR, 2025)