For the full publication list, please refer to my Google Scholar page.

Selected publications:

Journal articles:

1. Shuai Zhao, Zhongliang Guo, Luwei Xiao, Cong-Duy Nguyen, Yanhao Jia, Xinyi Wu, Luu Anh Tuan. Exploring Backdoor Attack and Defense Algorithms in LLMs: Enhancing Incontext Learning Security. Pattern Recognition, 2026 
2. Shuai Zhao, Zhongliang Guo, Xinyi Wu, Xiaobao Wu, Yanhao Jia, Luwei Xiao, Luu Anh Tuan. Protecting Your Customized LLM Systems from Backdoored Instructions with Metacognitive Probing. IEEE Transactions on Information Forensics and Security, 2026 
3. Wenyi Xiao, Zechuan Wang, Leilei Gan, Shuai Zhao, Zongyue Li, Ruirui Lei, Wanggui He, Luu Anh Tuan, Long Chan, Hao Jiang, Zhou Zhao, Fei Wu. A Survey of Direct Preference Optimization: Datasets, Theories, Variants, and Applications. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2026 
4. Shuai Zhao, Qika Lin, Yanhao Jia, Xinyi Wu, Yuwen Li, 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. Shuai Zhao, Yulin Zhang, Luwei Xiao, Xinyi Wu, Yanhao Jia, Zhongliang Guo, Xiaobao Wu, Cong-Duy Nguyen, Guoming Zhang, Luu Anh Tuan. Affective-Roptester: Capability and Bias Analysis of LLMs in Predicting Retinopathy of Prematurity. IEEE Transactions on Affective Computing, 2025 
6. Yue Zhang, Yafu Li, Leyang Cui, Deng Cai, Lemao Liu, Tingchen Fu, Xinting Huang, Enbo Zhao, Yu Zhang, Yulong Chen, Longyue Wang, Luu Anh Tuan, Wei Bi, Freda Shi, Shuming Shi. Siren’s Song in the AI Ocean: A Survey on Hallucination in Large Language Models. Computational Linguistics, 2025 
7. Shuai Zhao, Meihuizi Jia, Zhongliang Guo, Leilei Gan, XIAOYU XU, Xiaobao Wu, Jie Fu, Feng Yichao, Fengjun Pan, Luu Anh Tuan. A Survey of Recent Backdoor Attacks and Defenses in Large Language Models. Transactions on Machine Learning Research, 2025 
8. Shuai Zhao, Xiaoyu Xu, Luwei Xiao, Jinming Wen, Luu Anh Tuan. Clean-label Backdoor Attack and Defense: An Examination of Language Model Vulnerability. Expert Systems with Applications, 2024 
9. Anran Li, Guangjing Wang, Ming Hu, Jianfei Sun, Lan Zhang, Luu Anh Tuan, Han Yu. Joint Client-and-Sample Selection for Federated Learning via Bi-level Optimization. IEEE Transactions on Mobile Computing, 2024 
10. Yandan Zheng, Luu Anh Tuan. Incorporating Template-based Contrastive Learning into Cognitively Inspired, Low Resource Relation Extraction. Cognitive Computation, 2024 
11. Shuai Zhao, Luu Anh Tuan, Jie Fu, Jinming Wen, Weiqi Luo. Exploring Clean Label Backdoor Attacks and Defense in Language Models. IEEE Transactions on Audio, Speech and Language Processing, 2024 
12. Xiaobao Wu, Thong Nguyen, Luu Anh Tuan. A Survey on Neural Topic Models: Methods, Applications, and Challenges. Artificial Intelligence Review, 2024 
13. Jia Meihuizi, Luu Anh Tuan. MuJo-SF: Multimodal Joint Slot Filling for Attribute Value Prediction of E-commerce Commodities. IEEE Transactions on Multimedia, 2024 
14. Vijay Prakash Dwivedi, Chaitanya K Joshi, Luu Anh Tuan, Thomas Laurent, Yoshua Bengio, Xavier Bresson. Benchmarking Graph Neural Networks. Journal of Machine Learning Research, 2023 
15. Anran Li, Jiahui Huang, Ju Jia, Hongyi Peng, Lan Zhang, Luu Anh Tuan, Han Yu, Xiang-Yang Li. Efficient and Privacy-Preserving Feature Importance-based Vertical Federated Learning. IEEE Transactions on Mobile Computing, 2023 
16. Jie Wei, Guanyu Hu, Xinyu Yang, Luu Anh Tuan, Yizhuo Dong. Learning facial expression and body gesture visual information for video emotion recognition. Expert Systems with Applications, 2023 
17. Ruicheng Liu, Rui Mao, Luu Anh Tuan, Erik Cambria. A brief survey on recent advances in coreference resolution. Artificial Intelligence Review, 2023 
18. Anran Hao, Luu Anh Tuan, Siu Cheung Hui, Jian Su. A Contrastive Learning Framework for Event Detection via Semantic Type Prototype Representation Modeling. Neurocomputing, 2023 
19. Yandan Zheng, Luu Anh Tuan. A Novel, Cognitively Inspired, Unified Graph-based Multi-Task Framework for Information Extraction. Cognitive Computation, 2023 
20. Kathryn Arbour*, Luu Anh Tuan*, Jia Luo*, Hira Rizvi, Andrew J. Plodkowski, Mustafa Sakhi, Kevin B. Huang, Subba R. Digumarthy, Michelle S. Ginsberg, Jeffrey Girshman, Mark G. Kris, Gregory J. Riely, Adam Yala, Justin F. Gainor, Regina Barzilay, and Matthew D. Hellmann. Deep learning to estimate RECIST in patients with NSCLC treated with PD-1 blockade . Cancer Discovery, 2020 (Impact factor: 39.4) 
21. Anran Wang, Luu Anh Tuan, Chuan-Sheng Foo, Hongyuan Zhu, Yi Tay, Vijay Chandrasekhar. Holistic Multi-modal Memory Network for Movie Question Answering. IEEE Transactions on Image Processing, 2019 
22. Luu Anh Tuan, Siu Cheung Hui, See Kiong Ng. Utilizing Temporal Information for Taxonomy Construction. Transactions of the Association for Computational Linguistics (TACL), 2016 
23. Yuqing Mao, Kimberly Van Auken, Donghui Li, Luu Anh Tuan, Jung-jae Kim, Jung-Hsien Chiang, Yu-De Chen, Jian-Ming Chen, Hong-Jie Dai, Zhiyong Lu. Overview of the Gene Ontology Task at BioCreative IV. Database Oxford, 2014 
24. Luu Anh Tuan, Jung-jae Kim. Automatic Suggestion for PUBMED Query Reformulation. Journal of Computing Science and Engineering, 2012 

Conference papers:

2026

1. Haoran Luo, Ziyue Zhu, Shangyang Wu, Linhao Luo, Yikai Guo, Qika Lin, Fangzhi Xu, Jiapu Wang, Xiaobao Wu, Yifan Zhu, Luu Anh Tuan. MMGraph-Agent: Agentic Multimodal RAG via Cache-Inspired Multimodal Knowledge HyperGraphs. The Conference on Neural Information Processing Systems (NeurIPS), 2026
2. Ziyue Zhu, Shangyang Wu, Shuai Zhao, Zhao ZhiQiu, Jian Zhang, Li Shengjie, Yi Wang, Luu Anh Tuan, Xinliang Zhou, Fang Li, Haoran Luo. NS-VLA: Towards Neuro-Symbolic Vision-Language-Action Models. The Conference on Neural Information Processing Systems (NeurIPS), 2026
3. Haoran Luo, Shangkai Lin, Jinyang Wu, Xinliang Zhou, Luu Anh Tuan. HyperSkill: Training-Free Omnimodal GRPO via Hypergraph-Indexed Skill-Library Evolution. The Conference on Neural Information Processing Systems (NeurIPS), 2026
4. Yandan Zheng, Haoran Luo, Luu Anh Tuan. Social Interaction Breaks Replicate Independence in Controlled-Clone LLM Agents. The Conference on Neural Information Processing Systems (NeurIPS), 2026
5. Long S. T. Nguyen, Dat Huynh, Quynh Vo, LE Dang Nguyen Hai, Cong-Duy T Nguyen, Luu Anh Tuan, Anh Nguyen-Duc, Tho Quan. Fast and Focused: Interactive Repository-Level Fill-in-the-Middle Code Completion with Hybrid Structural Retrieval. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2026
6. Long Tuan Ho, Yahui Ding, Huimin Xu, Shuai Zhao, Luu Anh Tuan. You Can’t Trust Your Agent: A Survey on Backdoor Threats and Defenses in Intelligent Agents. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2026
7. Dong Le, Thong Thanh Nguyen, Cong-Duy T Nguyen, Luu Anh Tuan. Don't Read Everything: A Curvature-Conditioned Query for Linear Attention. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2026
8. Khoi M. Le, Tri Cao, Phong Nam Huu Nguyen, Cong-Duy T Nguyen, Luu Anh Tuan, Chunyan Miao, See-Kiong Ng, Thong Thanh Nguyen. When In-Distribution Gains Fail: Evaluating Weak-to-Strong Reward Models under Preference Shift. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2026
9. Hoang Pham, Dong Le, Luu Anh Tuan. GRACE: Step-Level Benchmark for Faithful Reasoning over Context. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2026
10. Duc Anh Vu, Nhat M. Hoang, Do Xuan Long, Cong-Duy T Nguyen, Ponhvoan Srey, Luu Anh Tuan. Reinforcing Step-level Reasoning for Effective Self-Correction in LLMs. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2026
11. Ponhvoan Srey, Quang Minh Nguyen, Xiaobao Wu, Luu Anh Tuan. Towards Reliable Truth-Aligned Uncertainty Estimation in Large Language Models. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2026
12. Haoran Luo, Haihong E, Guanting Chen, Qika Lin, Yikai Guo, Fangzhi Xu, Zemin Kuang, Meina Song, Xiaobao Wu, Yifan Zhu, Luu Anh Tuan. Graph-R1: Towards Agentic GraphRAG Framework via End-to-end Reinforcement Learning. Proceedings of the International Conference on Machine Learning (ICML), 2026
13. Hang Yan, Fangzhi Xu, Rongman Xu, Yifei Li, Jian Zhang, Haoran Luo, Xiaobao Wu, Luu Anh Tuan, Haiteng Zhao, Qika Lin, Jun Liu. MUR: Momentum Uncertainty guided Reasoning for Large Language Models. Annual Meeting of the Association for Computational Linguistics (ACL), 2026
14. Thang Le, Huy Huu Nguyen, Luu Anh Tuan, Thamar Solorio, Thien Huu Nguyen. Towards Fast and Accurate Modeling for Cross-Lingual Label Projection. Annual Meeting of the Association for Computational Linguistics (ACL), 2026
15. Ponhvoan Srey, Xiaobao Wu, Cong-Duy T Nguyen, Luu Anh Tuan. Learning Uncertainty from Sequential Internal Dispersion in Large Language Models. Annual Meeting of the Association for Computational Linguistics (ACL), 2026
16. Nguyen Viet Anh, Shiqian Zhao, Gia Dao, Runyi Hu, Yi Xie, Xiaobao Wu, Luu Anh Tuan. Three Minds, One Legend: Jailbreak Large Reasoning Model with Adaptive Stacked Ciphers. Annual Meeting of the Association for Computational Linguistics (ACL), 2026
17. Shuai Zhao, Xinyi Wu, Shiqian Zhao, Xiaobao Wu, Zhongliang Guo, Yanhao Jia, Luu Anh Tuan. P2P: A Poison-to-Poison Remedy for Reliable Backdoor Defense in LLMs. Annual Meeting of the Association for Computational Linguistics (ACL), 2026
18. Man Hu, Xinyi Wu, Zhufeng Suo, Jinbo Feng, Linghui Meng, Yanhao Jia, Luu Anh Tuan, Shuai Zhao. Rethinking Reasoning: A Survey on Reasoning-based Backdoors in LLMs. Annual Meeting of the Association for Computational Linguistics (ACL), 2026
19. Huimin Xu, Shuai Zhao, Xiaobao Wu, Luu Anh Tuan. Understanding and Preventing Entropy Collapse in RLVR with On-Policy Entropy Flow Optimization. Annual Meeting of the Association for Computational Linguistics (ACL), 2026
20. Zhiyuan Hu, Yucheng Wang, Yufei He, Jiaying Wu, Yilun Zhao, See-Kiong Ng, Cynthia Breazeal, Luu Anh Tuan, Hae Won Park, Bryan Hooi. Rewarding the Rare: Uniqueness-Aware RL for Creative Problem Solving in LLMs. Annual Meeting of the Association for Computational Linguistics (ACL), 2026
21. Kanzhi Cheng, Zehao Li, Zheng Ma, Nuo Chen, Jialin Cao, Qiushi Sun, Zichen Ding, Fangzhi Xu, Hang Yan, Jiajun Chen, Luu Anh Tuan, Jianbing Zhang, Lewei Lu, Dahua Lin. OpenMobile: Building Open Mobile Agents with Task and Trajectory Synthesis. Conference on Language Modeling (COLM), 2026
22. Thong Thanh Nguyen, Khoi M. Le, Cong-Duy T Nguyen, Luu Anh Tuan, See-Kiong Ng, Chunyan Miao. Eulerian Motion Guidance: Robust Image Animation via Bidirectional Geometric Consistency. Proceedings of the ACM International Conference on Multimedia (ACM MM), 2026
23. Mingzhe Du, Luu Anh Tuan, Dong Huang, See-Kiong Ng. Paper Espresso: From Paper Overload to Research Insight. Proceedings of the Conference on Information and Knowledge Management (CIKM), 2026
24. Fengjun Pan, Xiaobao Wu, Tho Quan, Luu Anh Tuan. Read as You See: Guiding Unimodal LLMs for Low-Resource Explainable Harmful Meme Detection. The Web Conference (WWW), 2026
25. Siyue Zhang, Yuan Gao, Xiao Zhou, Yilun Zhao, Tingyu Song, Arman Cohan, Luu Anh Tuan, Chen Zhao. MRMR: A Realistic and Expert-Level Multidisciplinary Benchmark for Reasoning-Intensive Multimodal Retrieval. International Conference on Learning Representations (ICLR), 2026
26. Feng Yichao, Haoran Luo, Lang Feng, Shuai Zhao, Luu Anh Tuan. From Stimuli to Minds: Enhancing Psychological Reasoning in LLMs via Bilateral Reinforcement Learning. AAAI Conference on Artificial Intelligence (AAAI), 2026
27. Shiqian Zhao, Jiayang Liu, Yiming Li, Runyi Hu, Xiaojun Jia, Wenshu Fan, Xiaobao Wu, Jie Zhang, Wei Dong, Tianwei Zhang, Luu Anh Tuan. When Memory Becomes a Vulnerability: Towards Multi-turn Jailbreak Attacks against Text-to-Image Generation Systems. USENIX Security Symposium (USENIX Sec), 2026


2025

28. Haoran Luo, Haihong E, Guanting Chen, Yandan Zheng, Xiaobao Wu, Yikai Guo, Qika Lin, Yu Feng, Zemin Kuang, Meina Song, Yifan Zhu, Luu Anh Tuan. HyperGraphRAG: Retrieval-Augmented Generation via Hypergraph-Structured Knowledge Representation. The Conference on Neural Information Processing Systems (NeurIPS), 2025
29. Mingzhe Du, Luu Anh Tuan, Yue Liu, Yuhao QING, Dong HUANG, Xinyi He, Qian Liu, Zejun MA, See-Kiong Ng. Afterburner: Reinforcement Learning Facilitates Self-Improving Code Efficiency Optimization. The Conference on Neural Information Processing Systems (NeurIPS), 2025
30. Yuhao QING, Boyu Zhu, Mingzhe Du, Zhijiang Guo, Terry Yue Zhuo, Qianru Zhang, Jie M. Zhang, Heming Cui, Siu Ming Yiu, Dong HUANG, See-Kiong Ng, Luu Anh Tuan. EffiBench-X: A Multi-Language Benchmark for Measuring Efficiency of LLM-Generated Code. The Conference on Neural Information Processing Systems (NeurIPS), 2025
31. Ponhvoan Srey, Xiaobao Wu, Luu Anh Tuan. Unsupervised Hallucination Detection by Inspecting Reasoning Processes. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2025
32. Siyue Zhang, Yilun Zhao, Liyuan Geng, Arman Cohan, Luu Anh Tuan, Chen Zhao. Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2025
33. Siyue Zhang, Yuxiang Xue, Yiming Zhang, Xiaobao Wu, Luu Anh Tuan, Chen Zhao. MRAG: A Modular Retrieval Framework for Time-Sensitive Question Answering. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2025
34. Guizhen Chen, Weiwen Xu, Hao Zhang, Hou Pong Chan, Deli Zhao, Luu Anh Tuan, Yu Rong. GeoPQA: Bridging the Visual Perception Gap in MLLMs for Geometric Reasoning. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2025
35. Guizhen Chen, Weiwen Xu, Hao Zhang, Hou Pong Chan, Chaoqun Liu, Lidong Bing, Deli Zhao, Luu Anh Tuan, Yu Rong. FineReason: Evaluating and Improving LLMs' Deliberate Reasoning through Reflective Puzzle Solving. Annual Meeting of the Association for Computational Linguistics (ACL), 2025
36. Do Xuan Long, Duong Ngoc Yen, Do Xuan Trong, Luu Anh Tuan, Kenji Kawaguchi, Shafiq Joty, Min-Yen Kan, Nancy F. Chen. Beyond In-Context Learning: Aligning Long-form Generation of Large Language Models via Task-Inherent Attribute Guidelines. Annual Meeting of the Association for Computational Linguistics (ACL), 2025
37. Thang Le, Huy Huu Nguyen, Luu Anh Tuan, Thien Huu Nguyen. Massively Multilingual Instruction-Following Information Extraction. Annual Meeting of the Association for Computational Linguistics (ACL), 2025
38. Zhiyuan Hu, Yuliang Liu, Jinman Zhao, Suyuchen Wang, WangYan, Wei Shen, Qing Gu, Luu Anh Tuan, See-Kiong Ng, Zhiwei Jiang, Bryan Hooi. LongRecipe: Recipe for Efficient Long Context Generalization in Large Language Models. Annual Meeting of the Association for Computational Linguistics (ACL), 2025
39. Xiaobao Wu, Liangming Pan, Yuxi Xie, Ruiwen Zhou, Shuai Zhao, Yubo Ma, Mingzhe Du, Rui Mao, Luu Anh Tuan, William Yang Wang. AntiLeakBench: Preventing Data Contamination by Automatically Constructing Benchmarks with Updated Real-World Knowledge. Annual Meeting of the Association for Computational Linguistics (ACL), 2025
40. Quang Hieu Pham, Thuy Duong Nguyen, Tung Pham, Luu Anh Tuan, Dat Quoc Nguyen. ClozeMath: Improving Mathematical Reasoning in Language Models by Learning to Fill Equations. Annual Meeting of the Association for Computational Linguistics (ACL), 2025
41. Huimin Xu, Xin Mao, Feng-Lin Li, Xiaobao Wu, Wang Chen, Wei Zhang, Luu Anh Tuan. Full-Step-DPO: Self-Supervised Preference Optimization with Step-wise Rewards for Mathematical Reasoning. Annual Meeting of the Association for Computational Linguistics (ACL), 2025
42. Huimin Xu, Xin Mao, Feng-Lin Li, Xiaobao Wu, Wang Chen, Wei Zhang, Luu Anh Tuan. SCOPE: Compress Mathematical Reasoning Steps for Efficient Automated Process Annotation. Annual Meeting of the Association for Computational Linguistics (ACL), 2025
43. 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. Annual Meeting of the Association for Computational Linguistics (ACL), 2025
44. Mingzhe Du, Luu Anh Tuan, Bin Ji, Xiaobao Wu, Yuhao QING, Dong HUANG, Terry Yue Zhuo, Qian Liu, See-Kiong Ng. MProject - A toolkit for cross-lingual structured label projection. Annual Meeting of the Association for Computational Linguistics (ACL), 2025
45. Haoran Luo, Haihong E, Yikai Guo, Qika Lin, Xiaobao Wu, Xinyu Mu, Wenhao Liu, Meina Song, Yifan Zhu, Luu Anh Tuan. KBQA-o1: Agentic Knowledge Base Question Answering with Monte Carlo Tree Search. Proceedings of the International Conference on Machine Learning (ICML), 2025
46. Xin Mao, Huimin Xu, Feng-Lin Li, Ziqi Jin, WANG CHEN, Wei Zhang, Luu Anh Tuan. As Simple as Fine-tuning: LLM Alignment via Bidirectional Negative Feedback Loss. International Conference on Learning Representations (ICLR), 2025
47. Cong-Duy T Nguyen, Xiaobao Wu, Thong Thanh Nguyen, Shuai Zhao, Khoi M. Le, Nguyen Viet Anh, Feng Yichao, Luu Anh Tuan. Enhancing Multimodal Entity Linking with Jaccard Distance-based Conditional Contrastive Learning and Contextual Visual Augmentation. North American Chapter of the Association for Computational Linguistics (NAACL), 2025
48. Chaoqun Liu, Wenxuan Zhang, Yiran Zhao, Luu Anh Tuan, Lidong Bing. Is Translation All You Need? A Study on Solving Multilingual Tasks with Large Language Models. North American Chapter of the Association for Computational Linguistics (NAACL), 2025
49. Chaoqun Liu, Wenxuan Zhang, Jiahao Ying, Mahani Aljunied, Luu Anh Tuan, Lidong Bing. SeaExam and SeaBench: Benchmarking LLMs with Local Multilingual Questions in Southeast Asia. North American Chapter of the Association for Computational Linguistics (NAACL), 2025
50. Do Huu Dat, Duc Anh Do, Luu Anh Tuan, Wray Buntine. Discrete Diffusion Language Model for Efficient Text Summarization. North American Chapter of the Association for Computational Linguistics (NAACL), 2025
51. Chaoqun Liu, Qin Chao, Wenxuan Zhang, Xiaobao Wu, Boyang Li, Luu Anh Tuan, Lidong Bing. Zero-to-Strong Generalization: Eliciting Strong Capabilities of Large Language Models Iteratively without Gold Labels. International Conference on Computational Linguistics (COLING), 2025
52. Thong Thanh Nguyen, Yi Bin, Xiaobao Wu, Zhiyuan Hu, Cong-Duy T Nguyen, See-Kiong Ng, Luu Anh Tuan. Multi-Scale Contrastive Learning for Video Temporal Grounding. Proceedings of the Conference on Artificial Intelligence (AAAI), 2025
53. Thong Thanh Nguyen, Xiaobao Wu, Yi Bin, Cong-Duy T Nguyen, See-Kiong Ng, Luu Anh Tuan. Motion-aware Contrastive Learning for Temporal Panoptic Scene Graph Generation. Proceedings of the Conference on Artificial Intelligence (AAAI), 2025


2024

54. Xiaobao Wu, Thong Thanh Nguyen, Delvin Ce Zhang, William Yang Wang, Luu Anh Tuan. FASTopic: A Fast, Adaptive, Stable, and Transferable Topic Modeling Paradigm. The Conference on Neural Information Processing Systems (NeurIPS), 2024
55. Zhiyuan Hu, Chumin Liu, Xidong Feng, Yilun Zhao, See-Kiong Ng, Luu Anh Tuan, Junxian He, Pang Wei Koh, Bryan Hooi. Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in LLMs. The Conference on Neural Information Processing Systems (NeurIPS), 2024
56. Haoran Luo, Haihong E, Yuhao Yang, Tianyu Yao, Yikai Guo, Zichen Tang, Wentai Zhang, Shiyao Peng, Kaiyang Wan, Meina Song, Wei Lin, Yifan Zhu, Luu Anh Tuan. Text2NKG: Fine-Grained N-ary Relation Extraction for N-ary Relational Knowledge Graph Construction. The Conference on Neural Information Processing Systems (NeurIPS), 2024
57. Mingzhe Du, Luu Anh Tuan, Bin Ji, Qian Liu, See-Kiong Ng. Mercury: A Code Efficiency Benchmark for Code Large Language Models. The Conference on Neural Information Processing Systems (NeurIPS), 2024
58. Fengjun Pan, Xiaobao Wu, Zongrui Li, Luu Anh Tuan. Are LLMs Good Zero-Shot Fallacy Classifiers?. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024
59. Siyue Zhang, Luu Anh Tuan, Chen Zhao. SynTQA: Synergistic Table-based Question Answering via Mixture of Text-to-SQL and E2E TQA. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024
60. Thong Thanh Nguyen, Zhiyuan Hu, Xiaobao Wu, Cong-Duy T Nguyen, See-Kiong Ng, Luu Anh Tuan. Encoding and Controlling Global Semantics for Long-form Video Question Answering. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024
61. Shuai Zhao, Meihuizi Jia, Luu Anh Tuan, Fengjun Pan, Jinming Wen. Universal Vulnerabilities in Large Language Models: Backdoor Attacks for In-context Learning. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024
62. Xiaobao Wu, Liangming Pan, William Yang Wang, Luu Anh Tuan. AKEW: Assessing Knowledge Editing in the Wild. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024
63. Quang Hieu Pham, Hoang Ngo, Luu Anh Tuan, Dat Quoc Nguyen. Who’s Who: Large Language Models Meet Knowledge Conflicts in Practice. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024
64. Xin Mao, Feng-Lin Li, Huimin Xu, Wei Zhang, Wang Chen, Luu Anh Tuan. Don't Forget Your Reward Values: Language Model Alignment via Value-based Calibration. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024
65. Do Xuan Long, Duong Ngoc Yen, Luu Anh Tuan, Kenji Kawaguchi, Min-Yen Kan, Nancy F. Chen. Multi-expert Prompting Improves Reliability, Safety and Usefulness of Large Language Models. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024
66. Yew Ken Chia, Guizhen Chen, Weiwen Xu, Luu Anh Tuan, Soujanya Poria, Lidong Bing. Reasoning Paths Optimization: Learning to Reason and Explore From Diverse Paths. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024
67. Thong Nguyen, Yi Bin, Xiaobao Wu, Xinshuai Dong, Zhiyuan Hu, Khoi Le, Cong-Duy Nguyen, See-Kiong Ng, Luu Anh Tuan. Meta-optimized Angular Margin Contrastive Framework for Video-Language Representation Learning. The European Conference on Computer Vision (ECCV), 2024
68. An Guo, Yuan Zhou, Haoxiang Tian, Luu Anh Tuan, Yang Liu, Zhenyu Chen. SoVAR: Build Generalizable Scenarios from Accident Reports for Autonomous Driving Testing. IEEE/ACM International Conference on Automated Software Engineering (ASE), 2024
69. Guizhen Chen, Liying Cheng, Luu Anh Tuan, Lidong Bing. Exploring the Potential of Large Language Models in Computational Argumentation. Annual Meeting of the Association for Computational Linguistics (ACL), 2024
70. Trinh Pham, Khoi M. Le, Luu Anh Tuan. UniBridge: A Unified Approach to Cross-Lingual Transfer Learning for Low-Resource Languages. Annual Meeting of the Association for Computational Linguistics (ACL), 2024
71. Xiaobao Wu, Xinshuai Dong, Liangming Pan, Thong Thanh Nguyen, Luu Anh Tuan. Modeling Dynamic Topics in Chain-Free Fashion by Evolution-Tracking Contrastive Learning and Unassociated Word Exclusion. Annual Meeting of the Association for Computational Linguistics (ACL), 2024
72. Bosheng Ding, Chengwei Qin, Ruochen Zhao, Tianze Luo, Xinze Li, Guizhen Chen, Wenhan Xia, Junjie Hu, Luu Anh Tuan, Shafiq Joty. Data Augmentation using LLMs: Data Perspectives, Learning Paradigms and Challenges. Annual Meeting of the Association for Computational Linguistics (ACL), 2024
73. Haoran Luo, Haihong E, Zichen Tang, Shiyao Peng, Yikai Guo, Wentai Zhang, Chenghao Ma, Guanting Dong, Meina Song, Wei Lin, Yifan Zhu, Luu Anh Tuan. ChatKBQA: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language Models. Annual Meeting of the Association for Computational Linguistics (ACL), 2024
74. Thong Thanh Nguyen, Yi Bin, Junbin Xiao, Leigang Qu, Yicong Li, Jay Zhangjie Wu, Cong-Duy T Nguyen, See-Kiong Ng, Luu Anh Tuan. Video-Language Understanding: A Survey from Model Architecture, Model Training, and Data Perspectives. Annual Meeting of the Association for Computational Linguistics (ACL), 2024
75. Xiaobao Wu, Pan Fengjun, Luu Anh Tuan. Towards the TopMost: A Topic Modeling System Toolkit. Annual Meeting of the Association for Computational Linguistics (ACL), 2024
76. Thang Le, Luu Anh Tuan. Extractive Summarization with Text Generator. North American Chapter of the Association for Computational Linguistics (NAACL), 2024
77. Cong-Duy T Nguyen, Thong Thanh Nguyen, Xiaobao Wu, Luu Anh Tuan. KDMCSE: Knowledge Distillation Multimodal Sentence Embeddings with Adaptive Angular margin Contrastive Learning. North American Chapter of the Association for Computational Linguistics (NAACL), 2024
78. Nhat M. Hoang, Do Xuan Long, Duc Anh Do, Duc Anh Vu, Luu Anh Tuan. ToXCL: A Unified Framework for Toxic Speech Detection and Explanation. North American Chapter of the Association for Computational Linguistics (NAACL), 2024
79. Shuai Zhao, Leilei Gan, Luu Anh Tuan, Jie Fu, Lingjuan Lyu, Meihuizi Jia, Jinming Wen. Defending Against Weight-Poisoning Backdoor Attacks for Parameter-Efficient Fine-Tuning. North American Chapter of the Association for Computational Linguistics (NAACL), 2024
80. Brian Formento, Wenjie Feng, Chuan-Sheng Foo, Luu Anh Tuan, See-Kiong Ng. SemRoDe: Macro Adversarial Training to Learn Representations that are Robust to Word-Level Attacks. North American Chapter of the Association for Computational Linguistics (NAACL), 2024
81. Anran Li, Yuanyuan Chen, Mingfei Cheng, Yihao Huang, Jian Zhang, Yueming Wu, Luu Anh Tuan, Han Yu. Historical Embedding-Guided Efficient Large-Scale Federated Graph Learning. SIGMOD International Conference on Management of Data (SIGMOD), 2024
82. Thong Nguyen, Xiaobao Wu, Xinshuai Dong, Cong-Duy Nguyen, See Kiong Ng, Luu Anh Tuan. Topic Modeling as Multi-objective Optimization . International Conference on Learning Representations (ICLR), 2024
83. Xiaobao Wu, Fengjun Pan, Thong Nguyen, Yichao Feng, Chaoqun Liu, Cong-Duy Nguyen, Luu Anh Tuan. On the Affinity, Rationality, and Diversity of Hierarchical Topic Modeling. Proceedings of the Conference on Artificial Intelligence (AAAI), 2024
84. Thong Nguyen, Xiaobao Wu, Xinshuai Dong, Khoi Le, Zhiyuan Hu, Cong-Duy Nguyen, See Kiong Ng, Luu Anh Tuan. READ-PVLA: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling.Proceedings of the Conference on Artificial Intelligence (AAAI), 2024
85. Zhiyuan Hu, Chumin Liu, Yue Feng, Luu Anh Tuan, Bryan Hooi. PoetryDiffusion: Towards Joint Semantic and Metrical Manipulation in Poetry Generation. Proceedings of the Conference on Artificial Intelligence (AAAI), 2024
86. Khoi Nguyen, Trinh Pham, Luu Anh Tuan. LAMPAT: Low-rank Adaption for Multilingual Paraphrasing using Adversarial Training. Proceedings of the Conference on Artificial Intelligence (AAAI), 2024
87. Mingzhe Du, See Kiong Ng, Luu Anh Tuan. From Static to Dynamic: Knowledge Metabolism for Large Language Models. Proceedings of the Conference on Artificial Intelligence (AAAI) (Demo), 2024
88. Phuoc Pham, Anh Vu, Nhat Hoang, Xuan Long Do, Luu Anh Tuan. ChatGPT as a Math Questioner? Evaluating ChatGPT on Generating Pre-university Math Questions. ACM/SIGAPP Symposium On Applied Computing conference (SAC), 2024

2023

89. Shuai Zhao, Jinming Wen, Luu Anh Tuan, Junbo Zhao, Jie Fu. Prompt as Triggers for Backdoor Attack: Examining the Vulnerability in Language Models. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
90. Haochen Li, Xin Zhou, Luu Anh Tuan, Chunyan Miao. Rethinking Negative Pairs in Code Search. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
91. Cong-Duy T Nguyen, Thong Thanh Nguyen, Duc Anh Vu, Luu Anh Tuan. Improving Multimodal Sentiment Analysis: Supervised Angular margin-based Contrastive Learning for Enhanced Fusion Representation. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
92. Leilei Gan, Baokui Li, Kun Kuang, Yating Zhang, Lei Wang, Luu Anh Tuan, Yi Yang, Fei Wu. Exploiting Contrastive Learning and Numerical Evidence for Confusing Legal Judgment Prediction. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
93. Thong Thanh Nguyen, Xiaobao Wu, Xinshuai Dong, Cong-Duy T Nguyen, See-Kiong Ng, Luu Anh Tuan. DemaFormer: Damped Exponential Moving Average Transformer with Energy-Based Modeling for Temporal Language Grounding. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
94. Huy Huu Nguyen, Chien Van Nguyen, Linh Van Ngo, Luu Anh Tuan, Thien Huu Nguyen. A Spectral Viewpoint on Continual Relation Extraction. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
95. Thang Le, Luu Anh Tuan. A Parallel Corpus for Vietnamese Central-Northern Dialect Text Transfer. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
96. Liangming Pan, Xiaobao Wu, Xinyuan Lu, Luu Anh Tuan, William Yang Wang, Min-Yen Kan, Preslav Nakov. Fact-Checking Complex Claims with Program-Guided Reasoning. Annual Meeting of the Association for Computational Linguistics (ACL), 2023
97. Yandan Zheng, Anran Hao, Luu Anh Tuan. Jointprop: Joint Semi-supervised Learning for Entity and Relation Extraction with Heterogeneous Graph-based Propagation. Annual Meeting of the Association for Computational Linguistics (ACL), 2023
98. Thong Nguyen, Xiaobao Wu, Xinshuai Dong, Cong-Duy T. Nguyen, Zhen Hai, Lidong Bing, Luu Anh Tuan. Gradient-Boosted Decision Tree for Listwise Context Model in Multimodal Review Helpfulness Prediction. Annual Meeting of the Association for Computational Linguistics (ACL), 2023
99. Chaoqun Liu, Wenxuan Zhang, Guizhen Chen, Xiaobao Wu, Luu Anh Tuan, Chip Hong Chang, Lidong Bing. Zero-Shot Text Classification via Self-Supervised Tuning. Annual Meeting of the Association for Computational Linguistics (ACL), 2023
100. Xiaobao Wu, Xinshuai Dong, Thong Nguyen, Luu Anh Tuan. Effective Neural Topic Modeling with Embedding Clustering Regularization. Proceedings of the International Conference on Machine Learning (ICML), 2023
101. Duy Nguyen, Anh Vu, Thong Nguyen, Luu Anh Tuan. Expand BERT Representation with Visual Information via Grounded Language Learning with Multimodal Partial Alignment. Proceedings of the ACM International Conference on Multimedia (ACM MM), 2023
102. Jie Wei, Guanyu Hu, Luu Anh Tuan, Xinyu Yang, WenJing Zhu. Multi-Scale Receptive Field Graph Model for Emotion Recognition in Conversations. Proceedings of the International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023
103. Xiaobao Wu, Xinshuai Dong, Thong Nguyen, Chaoqun Liu, Liang-Ming Pan, Luu Anh Tuan. InfoCTM: A Mutual Information Maximization Perspective of Cross-lingual Topic Modeling. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2023
104. Brian Formento, Chuan-sheng Foo, Luu Anh Tuan, See Kiong Ng. Using Punctuation as an Adversarial Attack on Deep Learning-Based NLP Systems: An Empirical Study. Proceedings of the European Chapter of the ACL (EACL), 2023
105. Zhiyuan Hu, Yue Feng, Luu Anh Tuan, Bryan Hooi, Aldo Lipani. Unlocking the Potential of User Feedback: Leveraging Large Language Model as User Simulators to Enhance Dialogue System. Proceedings of the Conference on Information and Knowledge Management (CIKM), 2023


2022

106. Xiaobao Wu, Luu Anh Tuan, Xinshuai Dong. Mitigating Data Sparsity for Short Text Topic Modeling by Topic-Semantic Contrastive Learning. Proceedings of the Empirical Methods in Natural Language Processing (EMNLP), 2022
107. Nguyen Minh Dang, Luu Anh Tuan. Textual Manifold-based Defense Against Natural Language Adversarial Examples. Proceedings of the Empirical Methods in Natural Language Processing (EMNLP), 2022
108. Thong Nguyen, Xiaobao Wu, Luu Anh Tuan, Zhen Hai, Lidong Bing. Adaptive Contrastive Learning on Multimodal Transformer for Review Helpfulness Prediction. Proceedings of the Empirical Methods in Natural Language Processing (EMNLP), 2022
109. Ladislav Rampasek, Mikhail Galkin, Vijay Prakash Dwivedi, Luu Anh Tuan, Guy Wolf, Dominique Beaini. Recipe for a General, Powerful, Scalable Graph Transformer. Proceedings of The Advances in Neural Information Processing Systems (NeurIPS), 2022
110. Vijay Prakash Dwivedi, Ladislav Rampasek, Mikhail Galkin, Ali Parviz, Guy Wolf, Anh Tuan Luu, Dominique Beaini. Long Range Graph Benchmark. Proceedings of The Advances in Neural Information Processing Systems (NeurIPS), 2022
111. Jie Wei, Guanyu Hu, Xinyu Yang, Luu Anh Tuan, Yizhuo Dong. Audio-Visual Domain Adaptation Feature Fusion for Speech Emotion Recognition. Proceedings of (Interspeech), 2022
112. Haiteng Zhao, Chang Ma, Xinshuai Dong, Luu Anh Tuan, Zhi-Hong Deng, Hanwang Zhang. Certified Robustness Against Natural Language Attacks by Causal Intervention. Proceedings of The International Conference on Machine Learning (ICML), 2022
113. Vijay Prakash Dwivedi, Luu Anh Tuan, Thomas Laurent, Yoshua Bengio, Xavier Bresson. Graph Neural Networks with Learnable Structural and Positional Representations. Proceedings of The International Conference on Learning Representations (ICLR), 2022 
114. Thong Nguyen, Luu Anh Tuan. Improving Neural Cross-Lingual Abstractive Summarization via Employing Optimal Transport Distance for Knowledge Distillation. Proceedings of The AAAI Conference on Artificial Intelligence (AAAI), 2022
115. Donovan Ong, Jian Su, Bin Chen, Luu Anh Tuan, Ashok Narendranath, Yue Li, Shuqi Sun, Yingzhan Lin, Haifeng Wang. Is Discourse Role Important for Emotion Recognition in Conversation? Proceedings of The AAAI Conference on Artificial Intelligence (AAAI), 2022


2021

116. Thong Nguyen, Luu Anh Tuan. Contrastive Learning for Neural Topic Model. The Advances in Neural Information Processing Systems (NeurIPS), 2021
117. Xinshuai Dong, Luu Anh Tuan, Min Lin, Shuicheng Yan, Hanwang Zhang. How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial Robustness?. Proceedings of The Advances in Neural Information Processing Systems (NeurIPS), 2021
118. Thong Nguyen, Luu Anh Tuan, Truc Lu. Enriching and Controlling Global Semantics for Text Summarization. Proceedings of The Empirical Methods in Natural Language Processing (EMNLP), 2021
119. Aston Zhang, Yi Tay, Shuai Zhang, Alvin Chan, Luu Anh Tuan, Siu Cheung Hui, Jie Fu. Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with 1/n Parameters. Proceedings of International Conference on Learning Representations (ICLR), 2021 . Outstanding Paper Award
120. Xinshuai Dong, Luu Anh Tuan, Rongrong Ji, Hong Liu. Towards Robustness Against Natural Language Word Substitutions. Proceedings of International Conference on Learning Representations (ICLR), 2021 


2020 and before

121. Yi Tay, Donovan Ong, Jie Fu, Alvin Chan, Nancy Chen, Luu Anh Tuan, Christopher Pal. Would you rather? A new benchmark for learning machine alignment with cultural values and social preferences. Proceedings of Annual Meeting of the Association for Computational Linguistics (ACL), 2020 
122. Luu Anh Tuan*, Darsh J Shah*, Regina Barzilay. Capturing Greater Context for Question Generation. Proceedings of AAAI Conference on Artificial Intelligence (AAAI), 2020 
123. Yi Tay*, Luu Anh Tuan*, Aston Zhang, Shuohang Wang, Siu Cheung Hui. Compositional De-Attention Networks. Proceedings of Advances in Neural Information Processing Systems (NeurIPS), 2019 
124. Yi Tay, Aston Zhang, Luu Anh Tuan, Jinfeng Rao, Shuai Zhang, Shuohang Wang, Jie Fu and Siu Cheung Hui. Light and Efficient Neural Natural Language Processing with Quaternion Networks. Proceedings of Association for Computational Linguistics (ACL), 2019
125. Yi Tay, Shuohang Wang, Luu Anh Tuan, Jie Fu, Minh C. Phan, Xingdi Yuan, Jinfeng Rao, Siu Cheung Hui, Aston Zhang. Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives. Proceedings of Association for Computational Linguistics (ACL), 2019
126. Yi Tay, Shuai Zhang, Luu Anh Tuan, Siu Cheung Hui, Lina Yao, Lucas Vinh Tran. Holographic Factorization Machines for Recommendation. Proceedings of AAAI Conference on Artificial Intelligence (AAAI), 2019
127. Yi Tay*, Luu Anh Tuan*, Siu Cheung Hui, Jian Su. Densely Connected Attention Propagation for Reading Comprehension. Proceedings of Advances in Neural Information Processing Systems (NeurIPS), 2018
128. Yi Tay, Luu Anh Tuan, Siu Cheung Hui. Recurrently Controlled Recurrent Networks. Proceedings of Advances in Neural Information Processing Systems (NeurIPS), 2018
129. Yi Tay*, Luu Anh Tuan*, Siu Cheung Hui, Jian Su. Attentive Gated Lexicon Reader with Contrastive Contextual Co-Attention for Sentiment Classification. Proceedings of Empirical Methods in Natural Language Processing (EMNLP), 2018
130. Yi Tay*, Luu Anh Tuan*, Siu Cheung Hui. Co-Stack Residual Affinity Networks with Multi-level Attention Refinement for Matching Text Sequences. Proceedings of Empirical Methods in Natural Language Processing (EMNLP), 2018
131. Yi Tay, Luu Anh Tuan, Siu Cheung Hui. Compare, Compress and Propagate: Enhancing Neural Architectures with Alignment Factorization for Natural Language Inference. Proceedings of Empirical Methods in Natural Language Processing (EMNLP), 2018
132. Yi Tay, Luu Anh Tuan, Siu Cheung Hui. Multi-Granular Sequence Encoding via Dilated Compositional Units for Reading Comprehension. Proceedings of Empirical Methods in Natural Language Processing (EMNLP), 2018
133. Yi Tay, Luu Anh Tuan, Siu Cheung Hui, Jian Su. Reasoning with Sarcasm by Reading In-between. Proceedings of Association for Computational Linguistics (ACL), 2018
134. Yi Tay, Luu Anh Tuan, Siu Cheung Hui. Multi-Pointer Co-Attention Networks for Recommendation. Proceedings of ACM International Conference on Knowledge Discovery and Data Mining (KDD), 2018
135. Yi Tay, Luu Anh Tuan, Siu Cheung Hui. Multi-cast Attention Networks. Proceedings of ACM International Conference on Knowledge Discovery and Data Mining (KDD), 2018
136. Yi Tay*, Luu Anh Tuan*, Siu Cheung Hui. Learning to Attend via Word-Aspect Associative Fusion for Aspect-based Sentiment Analysis. Proceedings of AAAI Conference on Artificial Intelligence (AAAI), 2018
137. Yi Tay, Luu Anh Tuan, Siu Cheung Hui. Cross Temporal Recurrent Networks for Ranking Question Answer Pairs. Proceedings of AAAI Conference on Artificial Intelligence (AAAI), 2018
138. Yi Tay, Luu Anh Tuan, Siu Cheung Hui. SkipFlow: Incorporating Neural Coherence Features for End-to-end Automatic Text Scoring. Proceedings of AAAI Conference on Artificial Intelligence (AAAI), 2018
139. Yi Tay, Luu Anh Tuan, Siu Cheung Hui. Latent Relational Metric Learning via Memory-based Attention for Collaborative Ranking. Proceedings of The Web Conference (WWW), 2018
140. Yi Tay, Luu Anh Tuan, Siu Cheung Hui. Hyperbolic Representation Learning for Fast and Efficient Neural Question Answering. Proceedings of ACM International Conference on Web Search and Data Mining (WSDM), 2018
141. Yi Tay, Luu Anh Tuan, Siu Cheung Hui. CoupleNet: Paying Attention to Couples with Coupled Attention for Relationship Recommendation. Proceedings of AAAI International Conference on Web Blogs and Social Media (ICWSM), 2018
142. Yi Tay, Luu Anh Tuan, Siu Cheung Hui. Hermitian Co-Attention Networks for Text Matching in Asymmetrical Domains. Proceedings of International Joint Conference on Artificial Intelligence (IJCAI), 2018
143. Yi Tay, Luu Anh Tuan, Siu Cheung Hui. Non-parametric Estimation of Multiple Embeddings for Link Prediction on Dynamic Knowledge Graphs. Proceedings of AAAI Conference on Artificial Intelligence (AAAI), 2017
144. Yi Tay*, Luu Anh Tuan*, Siu Cheung Hui. Dyadic Memory Networks for Aspect-based Sentiment Analysis. Proceedings of ACM International Conference on Information and Knowledge Management (CIKM), 2017
145. Yi Tay, Luu Anh Tuan, Siu Cheung Hui, Falk Brauer. Random Semantic Tensor Ensemble for Scalable Knowledge Graph Link Prediction. Proceedings of ACM International Conference on Web Search and Data Mining (WSDM), 2017
146. Yi Tay, Minh C. Phan, Luu Anh Tuan, Siu Cheung Hui. Learning to Rank Question Answer Pairs with Holographic Dual LSTM architecture. Proceedings of ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2017
147. Luu Anh Tuan, Yi Tay, Siu Cheung Hui, See Kiong Ng. Learning Term Embeddings for Taxonomic Relation Identification with Dynamic Weighting Neural Network. Proceedings of Empirical Methods in Natural Language Processing (EMNLP), 2016
148. Luu Anh Tuan, Jung-jae Kim, See Kiong Ng. Incorporating Trustiness and Collective Synonym/Contrastive Evidence into Taxonomy Construction. Proceedings of Empirical Methods in Natural Language Processing (EMNLP), 2015
149. Luu Anh Tuan, Jung-jae Kim, See Kiong Ng. Taxonomy Construction using Syntactic Contextual Evidence. Proceedings of Empirical Methods in Natural Language Processing (EMNLP), 2014

Conferences: 

• Area Chair for ICML 2025-2026
• Area Chair for ICLR 2024-2027
• Area Chair for NeurIPS 2023-2026
• Area Chair for ACL 2021-2026
• Area Chair for EMNLP 2021-2026
• Area Chair for NAACL 2023-2026
• Senior Area Chair for EMNLP 2020
• Senior Program Committee for IJCAI 2020-2021

Journals : 

• Action Editor for Computational Linguistics (CL)
• Action Editor for ACL Rolling Review (ARR)
• Guest Editor for Transactions on Intelligent Systems and Technology (TIST)
• Standing Reviewer for Transactions of the Association for Computational Linguistics (TACL)
• Standing Reviewer for Neurocomputing
• Standing Reviewer for Artificial Intelligence Review
• Invited Reviewer for IEEE Transactions on Knowledge and Data Engineering
• Invited Reviewer for ACM Computing Surveys
• Invited Reviewer for Semantic Web Journal

Research Fellows 

• Luo Haoran
• Zhao Shuai
• Zheng Yandan

PhD Students

• Du Mingzhe
• Donovan Ong Yong Lin
• Chen Guizhen
• Feng Yichao
• Xu Huimin
• Pan Fengjun
• Nguyen Viet Anh
• Vu Duc Anh
• Srey Ponhvoan
• Zhang Zhen
• Hoang Minh Nhat
• Le Minh Khoi
• Cao Qi
• Zhao Shiqian
• Le Duc Dong
• Le Minh Khoi
• Pham Viet Hoang
• Taveekitworachai Pittawat

Research Associates/ Research Assistants / Visiting Students

• Do Duc Anh
• Zhao Shiqian
• Xu Huimin

Alumni

• Zhang Siyue. PhD 2026, now CoFounder and CTO of RENEPOLY
• Liu Chaoqun. PhD 2026, now Research Scientist at Huawei
• Hu Zhiyuan. PhD 2026, now Postdoc at MIT
• Nguyen Tran Cong Duy. PhD 2026, now Research Scientist at VinSmart Future
• Nguyen Thanh Thong. PhD 2026, now Research Scientist at Reka
• Xin Mao. Postdoc, now Research Scientist at ByteDance
• Li Anran. Postdoc, now postdoc at Yale University
• Wu Xiaobao. PhD 2024, now Assistant Professor at Shanghai Jiao Tong University
• Dwivedi Vijay Prakash. PhD 2024, now Postdoc at Stanford
• Wang Weishi. PhD 2024, now AI Data Scientist at SAP
• Dong Xinshuai. Master 2021, now PhD student at CMU
• Gan Leilei. Visiting student, now Assisant Professor at Zhejiang University

• Co-Lead Principal Investigator, "Digital ATCO Assistant", CAAS, 2026-2029, S$5,311,530
• Principal Investigator, "AI-Assisted Regional Air Traffic Flow Management", NRF, 2024-2028, S$3,426,215
• Co-Principal Investigator, "LLM Architecture-Language Nexus: A Unified Analysis Framework", AI Singapore, 2025-2028, S$4,900,000
• Co-Principal Investigator, "From LLMs to LGMs: LLM-empowered Sub-Graph Learning for Large Graph Models", NRF, 2025-2029, S$1,953,419
• Principal Investigator, "Defending Large Language Models Against Biases", DSO Singapore, 2024-2026, S$504,000
• Principal Investigator, "Efficient Model Training with Cross-language and Hierarchical Knowledge Transfer", Alibaba-NTU Global e-Sustainability CorpLab (ANGEL), 2024-2027, S$1,135,000
• Principal Investigator, "Towards Semantic-Aware Multimodal and Multilingual Deep Learning Systems for E-Commerce Applications", AI Singapore Technology, 2022-2025, S$1,764,000 (+ S$200,000 cash/in-kind contribution from SEA Limited)
• . Co-Principal Investigator, "Trustworthy AI Centre NTU (TAICeN)", CSA, 2022-2026, S$12,364,100
• Co-Principal Investigator, "PROJECT STORY", DSO, 2022-2025, S$984,335
• Principal Investigator, "Towards Robustness of Neural Networks Against Natural Language Attacks", MOE Tier 1, 2021-2024, S$100,000
• Principal Investigator, "Semi-supervised Learning for Knowledge Graph Construction", NTU SUG, 2021-2024, S$150,000
• Co-Principal Investigator, "Preparing for the Era of AI-powered Synthetic Advertising: Theoretical Development, Practical, and Policy Recommendations", AI Singapore Governance, 2022-2025, S$299,904
• Principal Investigator, "AI-Supported Collaborative Activity Design", AI Singapore 100ER, 2021-2023, S$127,200 (+S$276,300 cash/in-kind contribution from Singapore Polytechnic)
• Principal Investigator, "Deep Learning Techniques for User-generated Content Analysis", NTU-Alibaba JRI, 2021-2022, S$136,104

Research Scholarships: 

• A*STAR Graduate Scholarship (AGS) - Post-doctoral Fellowship (2018)
• A*STAR Graduate Scholarship (AGS) - Ph.D. Scholarship (2013-2016)
• NUS Research Scholarship (2008-2011)

Research:

• PREMIA Best Student Paper Award, Certificate of Merit, ICLR 2022
• Outstanding Paper Award, ICLR 2021
• CVPR 2017 Textbook Question Answering Challenge:
  • 1st Place in Diagram Track, 2nd Place in Text Track 
  • Organized by Allen Institute for AI (AI2) 

Industry:

• MTI (Ministry of Trade and Industry Singapore) Innovation Award, 2013
  • In recognition of the winning project on Strategic Technology Translation in Business Analytics