Shuai Zhao

2026

1. Shuai Zhao, Zhongliang Guo, Xinyi Wu, Xiaobao Wu, Yanhao Jia, Luwei Xiao, Anh Tuan Luu. Protecting Your Customized LLM Systems from Backdoored Instructions with Metacognitive Probing IEEE Transactions on Information Forensics and Security 2026.
2. Shuai Zhao, Xinyi Wu, Shiqian Zhao, Xiaobao Wu, Zhongliang Guo, Yanhao Jia, Anh Tuan Luu. P2P: A Poison-to-Poison Remedy for Reliable Backdoor Defense in LLMs ACL 2026.
3. Man Hu, Xinyi Wu, Zhufeng Suo, Jinbo Feng, Linghui Meng, Yanhao Jia, Anh Tuan Luu, Shuai Zhao✉. Rethinking Reasoning: A Survey on Reasoning-based Backdoors in LLMs ACL 2026. (Corresponding Author)
4. Shuai Zhao, Qika Lin, Yanhao Jia, Xinyi Wu, Yuwen Li, and Luu Anh Tuan. UniFLE: Uniform Fusion of Multiple LoRA Experts for Backdoor Defense in Large Language Models. IEEE Transactions on Dependable and Secure Computing 2026.
5. Xinyi Wu, Jia, Yanhao, Qinglin Zhang, Yiran Qin, Luwei Xiao, and Shuai Zhao✉. Towards Affective Evaluation of STEM Education: Leveraging MLLMs in Project-Based Learning. IEEE Transactions on Affective Computing 2026. (Corresponding Author)

2025

1. Yulin Zhang^†, Shuai Zhao^†, Jianbing Ren, Yuwen Li, Xinyu Zhao, Chuan Nie, Suzhen Xie, Xuelin Huang, Jie Sun, Jinming Wen, Xianqiong Luo, Guoming Zhang. NLP-ROPCare: Predicting retinopathy of prematurity with admission notes using natural language processing[J]. BMJ Open Ophthalmology, 2025. (Equal contributions)
2. Yuwen Li, Xinyi Wu, Zhongliang Guo✉, Luwei Xiao, Yanhao Jia, and Shuai Zhao✉. Backdoor Defense for Large Language Models with Weak-to-Strong Knowledge Distillation[J]. Pattern Recognition, 2025. (Corresponding Authors)
3. Shuai Zhao, Yulin Zhang, Luwei Xiao, Xinyi Wu, Yanhao Jia, Zhongliang Guo, Xiaobao Wu, Cong-Duy Nguyen, Guoming Zhang, and Anh Tuan Luu. Affective-roptester: Capability and bias analysis of llms in predicting retinopathy of prematurity[J]. IEEE Transactions on Affective Computing, 2025.
4. Guo, Zhongliang, Chun Tong Lei, Lei Fang, Shuai Zhao✉, Yifei Qian, Jingyu Lin, Zeyu Wang, Cunjian Chen, Ognjen Arandjelović, and Chun Pong Lau✉. A grey-box attack against latent diffusion model-based image editing by posterior collapse[J]. IEEE Transactions on Information Forensics and Security, 2025. (Corresponding Authors)
5. Man, Hu, Yahui Ding, Yatao Yang✉, Liangyu Chen, Yanhao Jia, and Shuai Zhao✉. DUP: Detection-guided Unlearning for Backdoor Purification in Language Models[C]. AAAI, 2026. (Corresponding Authors)
6. Yanhao Jia, Xinyi Wu, Hao Li, Qinglin Zhang, Yuxiao Hu, Shuai Zhao✉, Wenqi, Fan. Uni-Retrieval: A Multi-Style Retrieval Framework for STEM's Education[C]. ACL, 2025. (Corresponding Author)
7. Shuai Zhao, Xiaobao Wu, Cong-Duy Nguyen, Yanhao Jia, Meihuizi Jia, Yichao Feng, Luu Anh Tuan. Unlearning Backdoor Attacks for LLMs with Weak-to-Strong Knowledge Distillation[C]. ACL, 2025.
8. Shuai Zhao, Meihuizi Jia, Zhongliang Guo, Leilei Gan, Xiaoyu Xu, Xiaobao Wu, Jie Fu, Yichao Feng, Fengjun Pan, Luu Anh Tuan. A Survey of Recent Backdoor Attacks and Defenses in Large Language Models[J]. Transactions on Machine Learning Research, 2025.（Survey Certification）

2024

1. Shuai Zhao, Xiaoyu Xu, Luwei Xiao, Jinming Wen, Luu Anh Tuan. Clean-label Backdoor Attack and Defense: An Examination of Language Model Vulnerability[J]. Expert Systems With Applications, 2024.
2. Shuai Zhao, Meihuizi Jia, Anh Tuan Luu, Fengjun Pan, Jinming Wen. Universal Vulnerabilities in Large Language Models: Backdoor Attacks for In-context Learning[C]. Proceedings of the Empirical Methods in Natural Language Processing (EMNLP), 2024.
3. Shuai Zhao, Anh Tuan Luu, Jie Fu, Jinming Wen, Weiqi Luo. Exploring Clean Label Backdoor Attacks and Defense in Language Models[J]. IEEE-ACM Transactions on Audio, Speech and Language Processing, 2024.
4. Shuai Zhao, Jie Tian, Jie Fu, Jie Chen, Jinming Wen. FeaMix: Feature Mix with Memory Batch Based on Self-consistency Learning for Code Generation and Code Translation[J]. IEEE Transactions on Emerging Topics in Computational Intelligence, 2024.
5. Shuai Zhao, Leilei Gan, Anh Tuan Luu, Jie Fu, Lingjuan Lv, Miehuizi Jia, Jinming Wen. Defending Against Weight-Poisoning Attacks for Parameter-Efficient Fine-Tuning, NAACL, 2024

2023

1. Shuai Zhao, Jinming Wen, Anh Tuan Luu, Junbo Zhao, Jie Fu. Prompt as Triggers for Backdoor Attack: Examining the Vulnerability in Language Models[C]. Proceedings of the Empirical Methods in Natural Language Processing (EMNLP), 2023.
2. Shuai Zhao, Qing Li, Yuer Yang, Jinming Wen, Weiqi Luo. From Softmax to Nucleusmax: A Novel Sparse Language model for Chinese Radiology Report Summarization[J]. ACM Transactions on Asian and Low-Resource Language Information Processing, 2023.

2022 and before

1. Shuai Zhao, Zhuoqian Liang, Jinming Wen, Jie Chen. Sparsing and smoothing for the seq2seq models[J]. IEEE Transactions on Artificial Intelligence, 2022: 1-10.
2. Shuai Zhao, Qing Li, Tengjiao He, Jinming Wen. A Step-by-Step Gradient Penalty with Similarity Calculation for Text Summary Generation[J]. Neural Processing Letters, 2022: 1-16.
3. Shuai Zhao, Tengjiao He, Jinming Wen. Sparse summary generation[J]. Applied Intelligence, 2023, 53(2): 2042-2054.
4. Shuai Zhao, Tianyu Zhang, Man Hu, Wen Chang, Fucheng You. AP-BERT: enhanced pre-trained model through average pooling[J]. Applied Intelligence, 2022, 52: 15929–15937.
5. Shuai Zhao, Fucheng You, Wen Chang, Tianyu Zhang, Man Hu. Augment BERT with average pooling layer for Chinese summary generation[J]. Journal of Intelligent & Fuzzy Systems, 2022, 42(3): 1859-1868.
6. Zihao He, Yuer Yang, Shuai Zhao✉. Towards Pre-trained Language Model for Dynamic Disturbance[J]. The 3rd International Academic Exchange Conference on Science and Technology Innovation (IAECST), 2021, 480-484.