About me

Hi! I am Luu Anh Tuan, an Assistant Professor at School of Computer Science and Engineering, Nanyang Technological University. Before that, I was a postdoctoral fellow at MIT CSAIL and a member of the Natural Language Processing group under the supervision of Prof. Regina Barzilay from 2018 to 2020. I obtained Ph.D. degree in computer engineering from Nanyang Technological University in 2016. From 2016 to 2018, I was a research scientist at Institute for Infocomm Research, Singapore in the Natural Language Processing group of Dr. Jian Su.

My research interests lie in the intersection of Artificial Intelligence and Natural Language Processing with the focus on applications of pretrained language models, semantics, question & answering, information extraction and knowledge construction, robustness & trustworthy AI, and recommendation systems.

Email: anhtuan.luu@ntu.edu.sg
Office: N4-02b-66, School of Computer Science and Engineering, NTU

Note: I am currently interested in taking new PhD students. Contact me if you are very interested in deep learning and NLP. If you are one of the top students from good universities, there are many excellent PhD scholarships such as AISG PhD Fellowship, Nanyang President's Graduate Scholarship, and IPP Scholarship.

Note: I also have a few positions for research fellow, research associate, and research assistant. If you have strong publication record in NLP and AI, and would like to do cutting-edge research in NLP, please feel free contact and send me your CV.



Latest News

  • 2 May 2023: Four papers accepted at ACL 2023
  • 25 Apr 2023: One paper accepted at ICML 2023
  • 8 Mar 2023: Invited to serve as Area Chair for NeurIPS 2023
  • 17 Feb 2023: One paper accepted at ICASSP 2023
  • 15 Jan 2023: One paper published at Journal of Machine Learning Research
  • 19 Nov 2022: One paper accepted at AAAI 2023
  • 15 Oct 2022: Three papers accepted at EMNLP 2022
  • 15 Sep 2022: Two papers accepted at NeurIPS 2022
  • 10 Aug 2022: Invited to serve as Area Chair for ICLR 2023
  • 15 Jun 2022: One paper accepted at Interspeech 2022
  • 25 May 2022: Invited to serve as Area Chair for EMNLP 2022
  • 16 May 2022: One paper accepted at ICML 2022
  • 1 Jan 2022: One paper collaborated with Yoshua Bengio has been accepted at ICLR 2022
  • 1 Dec 2021: Two papers accepted at AAAI 2022
  • 1 Nov 2021: Invited to serve as Area Chair for ACL 2022 and NAACL 2022
  • 19 Oct 2021: Invited to serve as Action Editor for ACL Rolling Review
  • 29 Sep 2021: Two papers accepted at NeurIPS 2021
  • 26 Aug 2021: One paper accepted at EMNLP 2021
  • 2 Apr 2021: Outstanding paper award at ICLR 2021. Kudos to Aston Zhang, Yi Tay and other friends
    • Publications

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

    Selected publications:
    (* denotes equal contribution)

    Journal articles:

    1. 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 
    2. 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) 
    3. 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 
    4. Luu Anh Tuan, Siu Cheung Hui, See Kiong Ng. Utilizing Temporal Information for Taxonomy Construction. Transactions of the Association for Computational Linguistics (TACL), 2016 
    5. 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 
    6. Luu Anh Tuan, Jung-jae Kim. Automatic Suggestion for PUBMED Query Reformulation. Journal of Computing Science and Engineering, 2012 
    7. 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:

    1. 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. Accepted to Annual Meeting of the Association for Computational Linguistics (ACL), 2023
    2. Yandan Zheng, Anran Hao, Luu Anh Tuan. Jointprop: Joint Semi-supervised Learning for Entity and Relation Extraction with Heterogeneous Graph-based Propagation. Accepted to Annual Meeting of the Association for Computational Linguistics (ACL), 2023
    3. 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. Accepted to Annual Meeting of the Association for Computational Linguistics (ACL), 2023
    4. Chaoqun Liu, Wenxuan Zhang, Guizhen Chen, Xiaobao Wu, Luu Anh Tuan, Chip Hong Chang, Lidong Bing. Zero-Shot Text Classification via Self-Supervised Tuning. Accepted to Annual Meeting of the Association for Computational Linguistics (ACL), 2023
    5. 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
    6. 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
    7. 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
    8. 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
    9. 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
    10. 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
    11. 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
    12. 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
    13. 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
    14. 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
    15. 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 
    16. 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
    17. 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
    18. Thong Nguyen, Luu Anh Tuan. Contrastive Learning for Neural Topic Model. Accepted to The Advances in Neural Information Processing Systems (NeurIPS), 2021
    19. 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
    20. 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
    21. 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
    22. 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 
    23. 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 
    24. Luu Anh Tuan*, Darsh J Shah*, Regina Barzilay. Capturing Greater Context for Question Generation. Proceedings of AAAI Conference on Artificial Intelligence (AAAI), 2020 
    25. 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 
    26. 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
    27. 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
    28. 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
    29. 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
    30. Yi Tay, Luu Anh Tuan, Siu Cheung Hui. Recurrently Controlled Recurrent Networks. Proceedings of Advances in Neural Information Processing Systems (NeurIPS), 2018
    31. 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
    32. 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
    33. 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
    34. 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
    35. 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
    36. 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
    37. 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
    38. 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
    39. 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
    40. 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
    41. 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
    42. 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
    43. 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
    44. 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
    45. 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
    46. Yi Tay*, Luu Anh Tuan*, Siu Cheung Hui. Dyadic Memory Networks for Aspect-based Sentiment Analysis. Proceedings of ACM International Conference on In- formation and Knowledge Management (CIKM), 2017
    47. 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
    48. 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
    49. Luu Anh Tuan, Yi Tay, Siu Cheung Hui, See Kiong Ng. Learning Term Em- beddings for Taxonomic Relation Identification with Dynamic Weighting Neural Network. Proceedings of Empirical Methods in Natural Language Processing (EMNLP), 2016
    50. 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
    51. 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
    Services

    Conferences: 

    • Area Chair for ACL, ICLR, NeurIPS 2023
    • Area Chair for NAACL, ACL, EMNLP 2022
    • Area Chair for EMNLP, ACL 2021
    • Senior Area Chair for EMNLP 2020
    • Senior Program Committee for IJCAI 2020, IJCAI 2021
    • Program Committee for AAAI 2020
    • Program Committee for NeurIPS 2019-2020
    • Program Committee for ACL 2017-2019
    • Program Committee for EMNLP 2017-2019
    • Program Committee for NAACL 2019
    • Program Committee for COLING 2018

    Journals : 

    • Standing Reviewer for Computational Linguistics 
    • Standing Reviewer for Transactions of the Association for Computational Linguistics 
    • 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 
    • Invited Reviewer for Transactions on Asian and Low-Resource Language Information Processing 
    Teams

    Research Fellows 

    • Li Anran

    PhD Students

    • Dwivedi Vijay Prakash
    • Zheng Yandan
    • Wu Xiaobao
    • Liu Chaoqun
    • Nguyen Thanh Thong
    • Nguyen Tran Cong Duy
    • Du Mingzhe
    • Ong Yong Lin
    • Chen Guizhen
    • Feng Yichao
    • Wang Weishi
    • Hu Zhiyuan

    Research Assistants / Visiting Students

    • Pan Fengjun
    • Wei Jie
    • Zhao Shuai
    • Jia Meihuizi

    Alumni

    • Dong Xinshuai. Master 2021, now PhD student at CMU
    Research Grants
    • 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
    • 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, "Towards Robustness of Neural Networks Against Natural Language Attacks", MOE Tier 1, 2021-2023, 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, "Deep Learning Techniques for User-generated Content Analysis", NTU-Alibaba JRI, 2021-2022, S$136,104
    Awards

    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