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 a good university, there are many excellent PhD scholarships such as AISG PhD Fellowship, Nanyang President's Graduate Scholarship, and IPP Scholarship.

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



Latest News

  • May 2024: 6 papers accepted to ACL 2024
  • May 2024: 1 paper accepted to IEEE Transactions on Audio, Speech and Language Processing
  • Apr 2024: 1 paper accepted to IEEE Transactions on Multimedia
  • Mar 2024: 5 papers accepted to NAACL 2024
  • Feb 2024: Invited to serve as Area Chair for NeurIPS 2024
  • Feb 2024: 1 paper accepted to SIGMOD 2024
  • Jan 2024: 1 paper accepted to ICLR 2024
  • Jan 2024: 1 paper accepted to Artificial Intelligence Review
  • Dec 2023: 5 papers accepted to AAAI 2024: 4 main and 1 demo
  • Nov 2023: 1 paper accepted to ACM/SIGAPP Symposium On Applied Computing (SAC) 2024
  • Nov 2023: 1 paper accepted to IEEE Transactions on Mobile Computing
  • Oct 2023: 7 papers accepted to EMNLP 2023
  • Aug 2023: Invited to serve as Area Chair for ICLR 2024
  • Aug 2023: Invited to serve as Action Editor for Computational Linguistics journal
  • Aug 2023: 1 paper accepted to Expert Systems with Applications
  • Aug 2023: 1 paper accepted at CIKM 2023
  • Jul 2023: 3 papers accepted at MM 2023, Neurocomputing, and Cognitive Computation
  • May 2023: 4 papers accepted at ACL 2023
  • Apr 2023: 1 paper accepted at ICML 2023
  • Mar 2023: 1 paper accepted to Artificial Intelligence Review
  • Mar 2023: Invited to serve as Area Chair for NeurIPS 2023
  • Publications

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

    Selected publications:

    Journal articles:

    1. Xiaobao Wu, Thong Nguyen, Luu Anh Tuan. A Survey on Neural Topic Models: Methods, Applications, and Challenges. Artificial Intelligence Review, 2024 
    2. Jia Meihuizi, Luu Anh Tuan. MuJo-SF: Multimodal Joint Slot Filling for Attribute Value Prediction of E-commerce Commodities. IEEE Transactions on Multimedia, 2024 
    3. 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 
    4. 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 
    5. 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 
    6. Ruicheng Liu, Rui Mao, Luu Anh Tuan, Erik Cambria. A brief survey on recent advances in coreference resolution. Artificial Intelligence Review, 2023 
    7. 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 
    8. Yandan Zheng, Luu Anh Tuan. A Novel, Cognitively Inspired, Unified Graph-based Multi-Task Framework for Information Extraction. Cognitive Computation, 2023 
    9. 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) 
    10. 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 
    11. Luu Anh Tuan, Siu Cheung Hui, See Kiong Ng. Utilizing Temporal Information for Taxonomy Construction. Transactions of the Association for Computational Linguistics (TACL), 2016 
    12. 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 
    13. Luu Anh Tuan, Jung-jae Kim. Automatic Suggestion for PUBMED Query Reformulation. Journal of Computing Science and Engineering, 2012 
    14. 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. Thang Le, Luu Anh Tuan. Extractive Summarization with Text Generator. North American Chapter of the Association for Computational Linguistics (NAACL), 2024
    2. 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
    3. 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
    4. 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
    5. 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
    6. 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
    7. 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
    8. 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
    9. 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
    10. 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
    11. 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
    12. 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
    13. 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
    14. 2023

    15. 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
    16. 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
    17. 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
    18. 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
    19. 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
    20. 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
    21. 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
    22. 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
    23. 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
    24. 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
    25. 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
    26. 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
    27. 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
    28. 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
    29. 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
    30. 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
    31. 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

    32. 2022

    33. 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
    34. 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
    35. 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
    36. 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
    37. 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
    38. 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
    39. 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
    40. 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 
    41. 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
    42. 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

    43. 2021

    44. Thong Nguyen, Luu Anh Tuan. Contrastive Learning for Neural Topic Model. The Advances in Neural Information Processing Systems (NeurIPS), 2021
    45. 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
    46. 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
    47. 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
    48. 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 

    49. 2020 and before

    50. 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 
    51. Luu Anh Tuan*, Darsh J Shah*, Regina Barzilay. Capturing Greater Context for Question Generation. Proceedings of AAAI Conference on Artificial Intelligence (AAAI), 2020 
    52. 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 
    53. 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
    54. 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
    55. 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
    56. 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
    57. Yi Tay, Luu Anh Tuan, Siu Cheung Hui. Recurrently Controlled Recurrent Networks. Proceedings of Advances in Neural Information Processing Systems (NeurIPS), 2018
    58. 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
    59. 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
    60. 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
    61. 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
    62. 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
    63. 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
    64. 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
    65. 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
    66. 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
    67. 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
    68. 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
    69. 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
    70. 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
    71. 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
    72. 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
    73. 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
    74. 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
    75. 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
    76. 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
    77. 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
    78. 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 NeurIPS, ICLR, ACL, NAACL, COLM 2024
    • 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 2020-2021
    • 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

    • Action Editor for Computational Linguistics (CL) 
    • Action Editor for ACL Rolling Review (ARR) 
    • 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 
    Teams

    Research Fellows 

    • Li Anran
    • Xin Mao
    • Chen Hui

    PhD Students

    • Zheng Yandan
    • Wu Xiaobao
    • Liu Chaoqun
    • Nguyen Thanh Thong
    • Nguyen Tran Cong Duy
    • Du Mingzhe
    • Donovan Ong Yong Lin
    • Chen Guizhen
    • Feng Yichao
    • Hu Zhiyuan
    • Ding Bosheng
    • Xu Huimin
    • Zhang Siyue
    • Pan Fengjun
    • Nguyen Viet Anh

    Research Associates/ Research Assistants / Visiting Students

    • Zhao Shuai
    • Jia Meihuizi
    • Xu Huimin
    • Feng Yichao

    Alumni

    • 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
    Research Grants
    • 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
    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