Publications

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. Computer Vision – ECCV 2024, 2025.

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. European Conference on Computer Vision, 2025.

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. EMNLP, 2024.

Fengjun Pan, Xiaobao Wu, Zongrui Li, Anh Tuan Luu. Are LLMs Good Zero-Shot Fallacy Classifiers?. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024.

Guizhen Chen, Liying Cheng, Luu Anh Tuan, Lidong Bing. SoVAR: Build Generalizable Scenarios from Accident Reports for Autonomous Driving Testing. ASE, 2024.

Thong Nguyen, Yi Bin, Xiaobao Wu, Xinshuai Dong, Zhiyuan Hu, Khoi Le, Cong-Duy Nguyen, See-Kiong Ng, Luu Anh Tuan. MAMA: A Meta-optimized Angular Margin Contrastive Framework for Video-Language Representation Learning. ECCV, 2024.

Thong Thanh Nguyen, Zhiyuan Hu, Xiaobao Wu, Cong-Duy Nguyen, See-Kiong Ng, Luu Anh Tuan. Encoding and Controlling Global Semantics for Long-form Video Question Answering. EMNLP, 2024.

Thong Nguyen, Yi Bin, Junbin Xiao, Leigang Qu, Yicong Li, Jay Zhangjie Wu, Cong-Duy Nguyen, See-Kiong Ng, Luu Anh Tuan. Video-Language Understanding: A Survey from Model Architecture, Model Training, and Data Perspectives. ACL, 2024.

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. Video-Language Understanding: A Survey from Model Architecture, Model Training, and Data Perspectives. ACL, 2024.

Trinh Pham, Khoi Le, Luu Anh Tuan. UniBridge: A Unified Approach to Cross-Lingual Transfer Learning for Low-Resource Languages. ACL, 2024.

Xiaobao Wu, Fengjun Pan, Luu Anh Tuan. Towards the TopMost: A Topic Modeling System Toolkit. ACL, 2024.

Xiaobao Wu, Xinshuai Dong, Liangming Pan, Thong Nguyen, Luu Anh Tuan. Modeling Dynamic Topics in Chain-Free Fashion by Evolution-Tracking Contrastive Learning and Unassociated Word Exclusion. ACL, 2024.

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.

Guizhen Chen, Liying Cheng, Luu Anh Tuan, Lidong Bing. Exploring the Potential of Large Language Models in Computational Argumentation. ACL, 2024.

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. ACL, 2024.

Nhat Hoang, Xuan Long Do, Duc Anh Do, Duc Anh Vu, Luu Anh Tuan. ToXCL: A Unified Framework for Toxic Speech Detection and Explanation. NAACL, 2024.

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. NAACL, 2024.

Cong-Duy Nguyen, Thong Nguyen, Xiaobao Wu, Luu Anh Tuan. KDMCSE: Knowledge Distillation Multimodal Sentence Embeddings with Adaptive Angular margin Contrastive Learning. NAACL, 2024.

Thang Le, Luu Anh Tuan. KDMCSE: Knowledge Distillation Multimodal Sentence Embeddings with Adaptive Angular margin Contrastive Learning. NAACL, 2024.

Anran Li, Yuanyuan Chen, Jian Zhang, Mingfei Cheng, Yihao Huang, Yueming Wu, Luu Anh Tuan, Han Yu. Historical Embedding-Guided Efficient Large-Scale Federated Graph Learning. ACM, 2024.

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. NAACL, 2024.

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 *

, 2024.

Thong Nguyen, Xiaobao Wu, Xinshuai Dong, Khoi M. Le, Zhiyuan Hu, Cong-Duy Nguyen, See-Kiong Ng, Anh Tuan Luu. READ: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling. Proceedings of the AAAI Conference on Artificial Intelligence, 2024.

Quang Hieu Pham, Hoang Ngo, Luu Anh Tuan, Dat Quoc Nguyen. Who’s Who: Large Language Models Meet Knowledge Conflicts in Practice. EMNLP, 2024.

Zhiyuan Hu, Chumin Liu, Yue Feng, Anh Tuan Luu, Bryan Hooi. PoetryDiffusion: Towards Joint Semantic and Metrical Manipulation in Poetry Generation. Proceedings of the AAAI Conference on Artificial Intelligence, 2024.

Xiaobao Wu, Fengjun Pan, Thong Nguyen, Yichao Feng, Chaoqun Liu, Cong-Duy Nguyen, Anh Tuan Luu. On the Affinity, Rationality, and Diversity of Hierarchical Topic Modeling. Proceedings of the AAAI Conference on Artificial Intelligence, 2024.

Khoi M. Le, Trinh Pham, Tho Quan, Anh Tuan Luu. LAMPAT: Low-Rank Adaption for Multilingual Paraphrasing Using Adversarial Training. Proceedings of the AAAI Conference on Artificial Intelligence, 2024.

Mingzhe Du, Anh Tuan Luu, Bin Ji, See-Kiong Ng. From Static to Dynamic: Knowledge Metabolism for Large Language Models. Proceedings of the AAAI Conference on Artificial Intelligence, 2024.

Jie Wei, Guanyu Hu, Xinyu Yang, Anh Tuan Luu, Yizhuo Dong. Learning facial expression and body gesture visual information for video emotion recognition. Expert Syst. Appl., 2024.

Yandan Zheng, Anh Luu. Incorporating Template-based Contrastive Learning into cognitively inspired, low resource relation extraction. 2024.

Phuoc Pham Van Long, Duc Anh Vu, Nhat M. Hoang, Xuan Long Do, Anh Tuan Luu. ChatGPT as a Math Questioner? Evaluating ChatGPT on Generating Pre-university Math Questions. arXiv, 2024.

Zhiyuan Hu, Chumin Liu, Xidong Feng, Yilun Zhao, See-Kiong Ng, Anh Tuan Luu, Junxian He, Pang Wei Koh, Bryan Hooi. Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in LLMs. Advances in Neural Information Processing Systems, 2024.

Thong Nguyen, Xiaobao Wu, Xinshuai Dong, Cong-Duy Nguyen, See-Kiong Ng, Luu Anh Tuan. TOPIC MODELING AS MULTI-OBJECTIVE CONTRASTIVE OPTIMIZATION. 2024.

Haoran Luo, Haihong E, Yuhao Yang, Tianyu Yao, Yikai Guo, Zichen Tang, Wentai Zhang, Kaiyang Wan, Shiyao Peng, Meina Song, Wei Lin, Yifan Zhu, Luu Anh Tuan. Text2NKG: Fine-Grained N-ary Relation Extraction for N-ary relational Knowledge Graph Construction. Advances in Neural Information Processing Systems, 2024.

Shuai Zhao, Meihuizi Jia, Anh Tuan Luu, Fengjun Pan, Jinming Wen. Universal Vulnerabilities in Large Language Models: Backdoor Attacks for In-context Learning. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024.

Meihuizi Jia, Lei Shen, Luu Tuan, Meng Chen, Jing Xu, Lejian Liao, Shaozu Yuan, Xiaodong He. MuJo-SF: Multimodal Joint Slot Filling for Attribute Value Prediction of E-Commerce Commodities. IEEE Transactions on Multimedia, 2024.

Mingzhe Du, Anh Tuan Luu, Bin Ji, Liu, Qian, See-Kiong Ng. Mercury: An efficiency benchmark for llm code synthesis. Conference on Neural Information Processing Systems (NeurIPS'24), 2024.

Xiaobao Wu, Thong Nguyen, Delvin Ce Zhang, William Yang Wang, Anh Tuan Luu. FASTopic: Pretrained Transformer is a Fast, Adaptive, Stable, and Transferable Topic Model. Advances in Neural Information Processing Systems, 2024.

Shuai Zhao, Anh Tuan Luu, Jie Fu, Jinming Wen, Weiqi Luo. Exploring Clean Label Backdoor Attacks and Defense in Language Models. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2024.

Xiaobao Wu, Liangming Pan, William Yang Wang, Luu Anh Tuan. AKEW: Assessing Knowledge Editing in the Wild. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024.

Xiaobao Wu, Liangming Pan, William Yang Wang, Luu Anh Tuan. AKEW: Assessing Knowledge Editing in the Wild. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024.

Xiaobao Wu, Thong Nguyen, Anh Tuan Luu. A survey on neural topic models: methods, applications, and challenges. Artificial Intelligence Review, 2024.

Shuai Zhao, Meihuizi Jia, Luu Anh Tuan, Fengjun Pan, Jinming Wen. Universal Vulnerabilities in Large Language Models: Backdoor Attacks for In-context Learning. EMNLP, 2024.

Siyue Zhang, Anh Tuan Luu, Chen Zhao. SynTQA: Synergistic Table-based Question Answering via Mixture of Text-to-SQL and E2E TQA. Findings of the Association for Computational Linguistics: EMNLP 2024, 2024.

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. EMNLP, 2024.

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. EMNLP, 2024.

Thong Thanh Nguyen, Zhiyuan Hu, Xiaobao Wu, Cong-Duy T Nguyen, See-Kiong Ng, Anh Tuan Luu. Encoding and Controlling Global Semantics for Long-form Video Question Answering. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024.

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.

Yandan Zheng, Luu Anh Tuan. A Novel, Cognitively Inspired, Unified Graph-based Multi-Task Framework for Information Extraction. Cognit Comput, 2023.

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. EACL, 2023.

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. CIKM, 2023.

Xiaobao Wu, Xinshuai Dong, Thong Nguyen, Luu Anh Tuan. Effective Neural Topic Modeling with Embedding Clustering Regularization. ICML, 2023.

Ruicheng Liu, Rui Mao, Luu Anh Tuan, Erik Cambria. A Brief Survey on Recent Advances in Coreference Resolution. Artificial Intelligence Review, 2023.

Liu Chaoqun, Wenxuan Zhang, Guizhen Chen, Xiaobao Wu, Luu Anh Tuan, Chip Hong Chang, Lidong Bing. Zero-Shot Text Classification via Self-Supervised Tuning. ACL, 2023.

Jie Wei, Guanyu Hu, Luu Anh Tuan, Xinyu Yang, WenJing Zhu. Multi-Scale Receptive Field Graph Model for Emotion Recognition in Conversations. ICASSP, 2023.

Yandan Zheng, Anran Hao, Luu Anh Tuan. Jointprop:Joint Semi-supervised Learning for Entity and Relation Extraction with Heterogeneous Graph-based Propagation. ACL, 2023.

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. ACL, 2023.

Duy Nguyen, Anh Vu, Thong Nguyen, Luu Anh Tuan. Expand BERT Representation with Visual Information via Grounded Language Learning with Multimodal Partial Alignment. ACM MM, 2023.

Xiaobao Wu, Xinshuai Dong, Liu Chaoqun, Liang-Ming Pan, Luu Anh Tuan. InfoCTM:A Mutual Information Maximization Perspective of Cross-lingual Topic Modeling. AAAI, 2023.

Jie Wei, Guanyu Hu, Xinyu Yang, Luu Anh Tuan, Yizhuo Dong. Audio-Visual Domain Adaptation Feature Fusion for Speech Emotion Recognition. Interspeech, 2022.

Yi Tay, Luu Anh Tuan, Siu Cheung Hui, Jian Su. Attentive Gated Lexicon Reader with Contrastive Contextual Co-Attention for Sentiment Classification. EMNLP, 2022.

Thong Nguyen, Xiaobao Wu, Luu Anh Tuan, Zhen Hai, Lidong Bing. Adaptive Contrastive Learning on Multimodal Transformer for Review Helpfulness Prediction. EMNLP, 2022.

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?. AAAI, 2022.

Dwivedi Vijay Prakash, Ladislav Rampasek, Mikhail Galkin, Ali Parviz, Guy Wolf, Luu Anh Tuan, Dominique Beaini. Long Range Graph Benchmark. NeurIPS, 2022.

Nguyen Minh Dang, Luu Anh Tuan. Textual Manifold-based Defense Against Natural Language Adversarial Examples. EMNLP, 2022.

Ladislav Rampasek, Mikhail Galkin, Dwivedi Vijay Prakash, Luu Anh Tuan, Guy Wolf, Dominique Beaini. Recipe for a General, Powerful, Scalable Graph Transformer. NeurIPS, 2022.

Xiaobao Wu, Luu Anh Tuan, Xinshuai Dong. Mitigating Data Sparsity for Short Text Topic Modeling by Topic-Semantic Contrastive Learning. EMNLP, 2022.

Haiteng Zhao, Chang Ma, Xinshuai Dong, Luu Anh Tuan, Zhi-Hong Deng, Hanwang Zhang. Certified Robustness Against Natural Language Attacks by Causal Intervention. ICML, 2022.

Thong Nguyen, Luu Anh Tuan. Improving Neural Cross-Lingual Summarization via Employing Optimal Transport Distance for Knowledge Distillation. AAAI, 2021.

Xinhsuai Dong, Luu Anh Tuan, Min Lin, Shuicheng Yan, Hanwang Zhang. How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial Robustness?. NeurIPS, 2021.

Dwivedi Vijay Prakash, Luu Anh Tuan, Thomas Laurent, Yoshua Bengio, Xavier Bresson. Graph Neural Networks with Learnable Structural and Positional Representations. ICLR, 2021.

Thong Nguyen, Luu Anh Tuan. Contrastive Learning for Neural Topic Model. NeurIPS, 2021.

Xinshuai Dong, Luu Anh Tuan, Rongrong Ji, Hong Liu. Towards Robustness Against Natural Language Word Substitutions. ICLR, 2021.

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. ICLR, 2021.

Kathryn C 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, Matthew D Hellmann. Deep Learning to Estimate RECIST in Patients with NSCLC Treated with PD-1 Blockade. Cancer Discovery, 2021.

Thong Nguyen, Luu Anh Tuan, Truc Lu, Tho Quan. Enriching and Controlling Global Semantics for Text Summarization. EMNLP, 2021.

Yi Tay, Donovan Ong, Jie Fu, Alvin Chan, Nancy Chen, Luu Anh Tuan, Chris Pal. Would you Rather? A New Benchmark for Learning Machine Alignment with Cultural Values and Social Preferences. ACL, 2020.

Luu Anh Tuan, Darsh J Shah, Regina Barzilay. Capturing Greater Context for Question Generation. ACL, 2020.

Dwivedi Vijay Prakash, Chaitanya K. Joshi, Luu Anh Tuan, Thomas Laurent, Yoshua Bengio, Xavier Bresson. Benchmarking Graph Neural Networks. JMLR, 2020.

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. ACL, 2019.

Yi Tay, Aston Zhang, Luu Anh Tuan, Jinfeng Rao, Shuai Zhang, Shuohang Wang, Jie Fu, Siu Cheung Hui. Light and Efficient Neural Natural Language Processing with Quaternion Networks. ACL, 2019.

Yi Tay, Shuai Zhang, Luu Anh Tuan, Siu Cheung Hui, Lina Yao, Tran Dang Quang Vinh. Holographic Factorization Machines for Recommendation. AAAI, 2019.

Yi Tay, Luu Anh Tuan, Aston Zhang, Shuohang Wang, Siu Cheung Hui. Compositional De-Attention Networks. NeurIPS, 2019.

Yi Tay, Luu Anh Tuan, Siu Cheung Hui. Recurrently Controlled Recurrent Networks. NeurIPS, 2018.

Anran Wang, Luu Anh Tuan, Chuan Sheng Foo, Hongyuan Zhu, Yi Tay, Vijay Chandrasekhar. Holistic Multi-modal Memory Network for Movie Question Answering. IEEE TIP, 2018.

Yi Tay, Luu Anh Tuan, Siu Cheung Hui, Jian Su. Densely Connected Attention Propagation for Reading Comprehension. NeurIPS, 2018.

Yi Tay, Luu Anh Tuan, Siu Cheung Hui. Co-Stack Residual Affinity Networks with Multi-level Attention Refinement for Matching Text Sequences. EMNLP, 2018.

Yi Tay, Luu Anh Tuan, Siu Cheung Hui. Multi-Cast Attention Networks for Retrieval-based Question Answering and Response Prediction. KDD, 2018.

Yi Tay, Luu Anh Tuan, Siu Cheung Hui. Hermitian Co-Attention Networks for Text Matching in Asymmetrical Domains. IJCAI, 2018.

Yi Tay, Luu Anh Tuan, Siu Cheung Hui. CoupleNet:Paying Attention to Couples with Coupled Attention for Relationship Recommendation. ICWSM, 2018.

Yi Tay, Luu Anh Tuan, Siu Cheung Hui, Jian Su. Reasoning with Sarcasm by Reading In-between. ACL, 2018.

Yi Tay, Luu Anh Tuan, Siu Cheung Hui. Multi-Pointer Co-Attention Networks for Recommendation. KDD, 2018.

Yi Tay, Luu Anh Tuan, Siu Cheung Hui. Multi-Granular Sequence Encoding via Dilated Compositional Units for Reading Comprehension. EMNLP, 2018.

Yi Tay, Luu Anh Tuan, Siu Cheung Hui. Compare, Compress and Propagate:Enhancing Neural Architectures with Alignment Factorization for Natural Language Inference. EMNLP, 2018.

Yi Tay, Luu Anh Tuan, Siu Cheung Hui. Hyperbolic Representation Learning for Fast and Efficient Neural Question Answering. WSDM, 2017.

Yi Tay, Luu Anh Tuan, Siu Cheung Hui. Non-Parametric Estimation of Multiple Embeddings for Link Prediction on Dynamic Knowledge Graphs. AAAI, 2017.

Yi Tay, Luu Anh Tuan, Siu Cheung Hui, Falk Brauer. Random Semantic Tensor Ensemble for Scalable Knowledge Graph Link Prediction. WSDM, 2017.

Yi Tay, Luu Anh Tuan, Siu Cheung Hui. Learning to Attend via Word-Aspect Associative Fusion for Aspect-based Sentiment Analysis. AAAI, 2017.

Yi Tay, Luu Anh Tuan, Siu Cheung Hui. SkipFlow:Incorporating Neural Coherence Features for End-to-End Automatic Text Scoring. AAAI, 2017.

Yi Tay, Luu Anh Tuan, Siu Cheung Hui. Dyadic Memory Networks for Aspect-based Sentiment Analysis. CIKM, 2017.

Yi Tay, Luu Anh Tuan, Siu Cheung Hui. Cross Temporal Recurrent Networks for Ranking Question Answer Pairs. AAAI, 2017.

Yi Tay, Minh C. Phan, Luu Anh Tuan, Siu Cheung Hui. Learning to Rank Question Answer Pairs with Holographic Dual LSTM Architecture. SIGIR, 2017.

Yi Tay, Luu Anh Tuan, Siu Cheung Hui. Latent Relational Metric Learning via Memory-based Attention for Collaborative Ranking. WWW, 2017.

Luu Anh Tuan, Siu Cheung Hui, See-Kiong Ng. Utilizing Temporal Information for Taxonomy Construction. TACL, 2016.

Luu Anh Tuan, Yi Tay, Siu Cheung Hui, See-Kiong Ng. Learning Term Embeddings for Taxonomic Relation Identification with Dynamic Weighting Neural Network. EMNLP, 2016.

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.

Luu Anh Tuan, Jung-Jae Kim, See-Kiong Ng. Taxonomy Construction using Syntactic Contextual Evidence. EMNLP, 2014.

Luu Anh Tuan, Jung-Jae Kim, See-Kiong Ng. Incorporating Trustiness and Collective Synonym/ Contrastive Evidence into Taxonomy Construction. EMNLP, 2013.

Luu Anh Tuan, Jung-Jae Kim. Automatic Suggestion for PUBMED Query Reformulation. Journal of Computing Science and Engineering, 2012.

Luu Anh Tuan, Jun Sun, Yang Liu, Jin Song Dong, Xiaohong Li, Thanh Tho Quan. SeVe - Automatic Tool for Verification of Security Protocols. FCS, 2012.