Shuai Zhao   College of Computing and Data Science Nanyang Technological University, Singapore, 639798. Email: shuai.zhao αt ntu dοt edu dοt sg Google Scholar

Biography

Hi! I am currently a Postdoctoral Researcher at Nanyang Technological University in Singapore, advised by Prof. Anh Tuan Luu . I received my PhD degree in 2024 from Jinan University, where I was advised by Prof. Weiqi Luo and Prof. Jinming Wen . During my PhD, I also spent one year as a visiting student and six months as a research assistant at Nanyang Technological University. My research interests include Backdoor Attack, Large Language Model, Natural Language Processing, Summary Generation, Code Generation, and Radiology Report Summarization.

Note: I am always interested in working with self-motivated students. If you have a strong interest in large language model and model security, please feel free to contact me.

News

• [2025.04]  🎉🎉 One paper accepted at IJCNN2025.
• [2025.02]  🎉🎉 One paper accepted at CVPR2025.
• [2025.01]  🎉🎉 One paper accepted at NAACL2025.
• [2025.01]  🎉🎉 One paper accepted at Transactions on Machine Learning Research.
• [2024.11]  🎉🎉 One paper accepted at Expert Systems With Applications.
• [2024.09]  🎉🎉 One paper accepted at EMNLP2024.
• [2024.05]  🎉🎉 One paper accepted at IEEE-ACM Transactions on Audio, Speech and Language Processing.
• [2024.04]  🎉🎉 One paper accepted at IEEE Transactions on Emerging Topics in Computational Intelligence.
• [2024.03]  🎉🎉 One paper accepted at NAACL2024.
• [2023.10]  🎉🎉 One paper accepted at EMNLP2023.
• [2023.05]  🎉🎉 One paper accepted at ACM Transactions on Asian and Low-Resource Language Information Processing.

Publications

2025

• 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）
• Yifei Qian, Zhongliang Guo, Bowen Deng, Chun Tong Lei, Shuai Zhao, Chun Pong Lau, Xiaopeng Hong, Michael P. Pound T2ICount: Enhancing Cross-modal Understanding for Zero-Shot Counting[C]. CVPR, 2025.
• Cong-Duy T Nguyen, Xiaobao Wu, Thong Thanh Nguyen, Shuai Zhao, Khoi M. Le, Nguyen Viet Anh, Feng Yichao, Anh Tuan Luu. Enhancing Multimodal Entity Linking with Jaccard Distance-based Conditional Contrastive Learning and Contextual Visual Augmentation[C]. NAACL, 2025.
• Yichao Feng, Shuai Zhao, Yueqiu Li, Luwei Xiao, Xiaobao Wu, Anh Tuan Luu. Aspect-Based Summarization with Self-Aspect Retrieval Enhanced Generation[C]. IJCNN, 2025.

2024

• 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.
• 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.
• 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.
• 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.
• 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, Findings of NAACL, 2024
• Qing Li, Shuai Zhao, Tengjiao He, Jinming Wen. A Simple and Efficient Filter Feature Selection Method via Document-Term Matrix Unitization[J]. Pattern Recognition Letters, 2024.

2023

• 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.
• 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.
• Mengchao Zhang, Kai Jiang, Shuai Zhao, Nini Hao, Yuan Zhang. Deep-learning-based multistate monitoring method of belt conveyor turning section[J]. Structural Health Monitoring, 2023.
• Qing Li, Shuai Zhao, Shancheng Zhao, Jinming Wen. Logistic Regression Matching Pursuit algorithm for text classification[J]. Knowledge-Based Systems, 2023: 110761.

2022 and before

• Shuai Zhao, Zhuoqian Liang, Jinming Wen, Jie Chen. Sparsing and smoothing for the seq2seq models[J]. IEEE Transactions on Artificial Intelligence, 2022: 1-10.
• 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.
• Shuai Zhao, Tengjiao He, Jinming Wen. Sparse summary generation[J]. Applied Intelligence, 2023, 53(2): 2042-2054.
• 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.
• 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.
• 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.

Selected Honors and Awards

Academic Service