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

Selected publications:

Journal articles:

1. 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 
2. Yandan Zheng, Luu Anh Tuan. Incorporating Template-based Contrastive Learning into Cognitively Inspired, Low Resource Relation Extraction. Cognitive Computation, 2024 
3. 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 
4. Xiaobao Wu, Thong Nguyen, Luu Anh Tuan. A Survey on Neural Topic Models: Methods, Applications, and Challenges. Artificial Intelligence Review, 2024 
5. Jia Meihuizi, Luu Anh Tuan. MuJo-SF: Multimodal Joint Slot Filling for Attribute Value Prediction of E-commerce Commodities. IEEE Transactions on Multimedia, 2024 
6. 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 
7. 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 
8. 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 
9. Ruicheng Liu, Rui Mao, Luu Anh Tuan, Erik Cambria. A brief survey on recent advances in coreference resolution. Artificial Intelligence Review, 2023 
10. 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 
11. Yandan Zheng, Luu Anh Tuan. A Novel, Cognitively Inspired, Unified Graph-based Multi-Task Framework for Information Extraction. Cognitive Computation, 2023 
12. 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) 
13. 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 
14. Luu Anh Tuan, Siu Cheung Hui, See Kiong Ng. Utilizing Temporal Information for Taxonomy Construction. Transactions of the Association for Computational Linguistics (TACL), 2016 
15. 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 
16. Luu Anh Tuan, Jung-jae Kim. Automatic Suggestion for PUBMED Query Reformulation. Journal of Computing Science and Engineering, 2012 
17. Luu Anh Tuan, Jun Sun, Yang Liu, Jin Song Dong, Xiaohong Li, Thanh Tho Quan. SeVe: Automatic Tool for Verification of Security Protocols. Frontiers of Computer Science, 2012

Conference papers:

2024

1. 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
2. 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
3. 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
4. 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
5. 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
6. 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
7. 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
8. 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
9. 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
10. 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
11. 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
12. 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
13. 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
14. 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
15. 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
16. 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
17. 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
18. 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
19. 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
20. 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
21. 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
22. 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
23. Thang Le, Luu Anh Tuan. Extractive Summarization with Text Generator. North American Chapter of the Association for Computational Linguistics (NAACL), 2024
24. 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
25. 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
26. 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
27. 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
28. 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
29. 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
30. 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
31. 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
32. 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
33. Khoi Nguyen, Trinh Pham, Tho Quan, Luu Anh Tuan. LAMPAT: Low-rank Adaption for Multilingual Paraphrasing using Adversarial Training. Proceedings of the Conference on Artificial Intelligence (AAAI), 2024
34. 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
35. 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

36. 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
37. 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
38. 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
39. 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
40. 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
41. 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
42. 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
43. 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
44. 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
45. 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
46. 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
47. 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
48. 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
49. 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
50. 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
51. 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
52. 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

53. 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
54. 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
55. 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
56. 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
57. 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
58. 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
59. 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
60. 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 
61. 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
62. 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

63. Thong Nguyen, Luu Anh Tuan. Contrastive Learning for Neural Topic Model. The Advances in Neural Information Processing Systems (NeurIPS), 2021
64. 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
65. Thong Nguyen, Luu Anh Tuan, Truc Lu, Tho Quan. Enriching and Controlling Global Semantics for Text Summarization. Proceedings of The Empirical Methods in Natural Language Processing (EMNLP), 2021
66. 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
67. 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

68. 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 
69. Luu Anh Tuan*, Darsh J Shah*, Regina Barzilay. Capturing Greater Context for Question Generation. Proceedings of AAAI Conference on Artificial Intelligence (AAAI), 2020 
70. 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 
71. 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
72. 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
73. 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
74. 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
75. Yi Tay, Luu Anh Tuan, Siu Cheung Hui. Recurrently Controlled Recurrent Networks. Proceedings of Advances in Neural Information Processing Systems (NeurIPS), 2018
76. 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
77. 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
78. 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
79. 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
80. 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
81. 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
82. 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
83. 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
84. 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
85. 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
86. 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
87. 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
88. 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
89. 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
90. 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
91. 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
92. 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
93. 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
94. 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
95. 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
96. 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 ICLR 2024-2025
• Area Chair for NeurIPS 2023-2024
• Area Chair for ACL 2021-2024
• Area Chair for EMNLP 2021-2024
• Area Chair for NAACL 2023-2024
• 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 

• Zhao Shuai
• Xin Mao
• Zheng Yandan
• Ding Bosheng

PhD Students

• Wu Xiaobao
• Liu Chaoqun
• Nguyen Thanh Thong
• Nguyen Tran Cong Duy
• Du Mingzhe
• Donovan Ong Yong Lin
• Chen Guizhen
• Feng Yichao
• Hu Zhiyuan
• Xu Huimin
• Zhang Siyue
• Pan Fengjun
• Nguyen Viet Anh
• Vu Duc Anh
• Srey Ponhvoan
• Zhang Zhen

Research Associates/ Research Assistants / Visiting Students

• Nguyen Hoang Minh Nhat
• Xu Huimin
• Feng Yichao
• Zhao Shiqian

Alumni

• Li Anran. Postdoc, now postdoc at Yale University
• Dwivedi Vijay Prakash. PhD 2024, now Research Scientist at ASUS AI Lab
• Wang Weishi. PhD 2024, now AI Data Scientist at SAP
• Dong Xinshuai. Master 2021, now PhD student at CMU

• 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