| 2026 | AAAI | Probabilities Are All You Need: A Probability-Only Approach to Uncertainty Estimation in Large Language Models. | Manh Nguyen, Sunil Gupta, Hung Le |
| 2026 | ACIIDS | TagFill: Leveraging LLMs for Privacy-Preserving Administrative Form Filling via Semantic Tagging. | Nam Nguyen, Hung Le, Tung Le, Huy Tien Nguyen |
| 2026 | ACL | Empowering Multi-Turn Tool-Integrated Agentic Reasoning with Group Turn Policy Optimization. | Yifeng Ding, Hung Le, Songyang Han, Kangrui Ruan, Zhenghui Jin, Varun Kumar, Zijian Wang, Anoop Deoras |
| 2026 | ACL | Do Domain-specific Experts exist in MoE-based LLMs? | Giang Do, Hung Le, Truyen Tran |
| 2026 | ACL | SPaCe: Unlocking Sample-Efficient Large Language Models Training With Self-Pace Curriculum Learning. | Van Dai Do, Manh Nguyen, Svetha Venkatesh, Hung Le |
| 2026 | ICALP | Charting the Landscape of Diameter Computation on Geometric Intersection Graphs in the Plane. | Timothy M. Chan, Hsien-Chih Chang, Jie Gao, Sndor Kisfaludi-Bak, Hung Le, Da Wei Zheng |
| 2026 | SODA | Covering the Euclidean Plane by a Pair of Trees. | Hung Le, Lazar Milenkovic, Shay Solomon, Tianyi Zhang |
| 2026 | SODA | Approximate Light Spanners in Planar Graphs. | Hung Le, Shay Solomon, Cuong Than, Csaba D. Tth, Tianyi Zhang |
| 2026 | STOC | Fine-Grained Complexity of Continuous Euclidean k-Center. | Lotte Blank, Karl Bringmann, Parinya Chalermsook, Karthik C. S., Benedikt Kolbe, Hung Le, Geert van Wordragen |
| 2026 | STOC | Separator Theorem for Minor-Free Graphs in Linear Time. | douard Bonnet, Tuukka Korhonen, Hung Le, Jason Li, Toms Masark |
| 2025 | AAAI | Multi-Reference Preference Optimization for Large Language Models. | Hung Le, Quan Hung Tran, Dung Nguyen, Kien Do, Saloni Mittal, Kelechi Ogueji, Svetha Venkatesh |
| 2025 | ACL | Dynamic Steering With Episodic Memory For Large Language Models. | Van Dai Do, Quan Hung Tran, Svetha Venkatesh, Hung Le |
| 2025 | ECAI | DmC: Nearest Neighbor Guidance Diffusion Model for Offline Cross-Domain Reinforcement Learning. | Linh Le Pham Van, Minh Hoang Nguyen, Duc Kieu, Hung Le, Hung The Tran, Sunil Gupta |
| 2025 | EMNLP | Sample Efficient Alignment Learning With Episodic Control. | Van Dai Do, Quan Hung Tran, Ahmed Kirmani, Lu Zhang, Hung Le |
| 2025 | FOCS | Truly Subquadratic Time Algorithms for Diameter and Related Problems in Graphs of Bounded VC-dimension. | Timothy M. Chan, Hsien-Chih Chang, Jie Gao, Sndor Kisfaludi-Bak, Hung Le, Da Wei Zheng |
| 2025 | HCI | Estimating Subjective Evaluation on Drinking Experiences Using fNIRS Sensing. | Hung Le, Duc Tran Minh, Takeshi Amiya, Satoshi Tezaki, Takashi Iimure, Toru Shioi, Kazunori Miyata, Shogo Okada |
| 2025 | ICDM | Accelerating Long-Term Molecular Dynamics with Physics-Informed Time-Series Forecasting. | Hung Le, Sherif Abbas, Minh Hoang Nguyen, Van Dai Do, Huu Hiep Nguyen, Dung Nguyen |
| 2025 | ICDM | Federated Domain Generalization with Latent Space Inversion. | Ragja Palakkadavath, Hung Le, Thanh Nguyen-Tang, Svetha Venkatesh, Sunil Gupta |
| 2025 | ICLR | Stable Hadamard Memory: Revitalizing Memory-Augmented Agents for Reinforcement Learning. | Hung Le, Dung Nguyen, Kien Do, Sunil Gupta, Svetha Venkatesh |
| 2025 | ICLR | Rapid Selection and Ordering of In-Context Demonstrations via Prompt Embedding Clustering. | Kha Pham, Hung Le, Man Ngo, Truyen Tran |
| 2025 | IJCAI | Navigating Social Dilemmas with LLM-based Agents via Consideration of Future Consequences. | Dung Nguyen, Hung Le, Kien Do, Sunil Gupta, Svetha Venkatesh, Truyen Tran |
| 2025 | IJCAI | Beyond the Known: Decision Making with Counterfactual Reasoning Decision Transformer. | Minh Hoang Nguyen, Linh Le Pham Van, Thommen George Karimpanal, Sunil Gupta, Hung Le |
| 2025 | NAACL | SimSMoE: Toward Efficient Training Mixture of Experts via Solving Representational Collapse. | Giang Do, Hung Le, Truyen Tran |
| 2025 | NAACL | CodeTree: Agent-guided Tree Search for Code Generation with Large Language Models. | Jierui Li, Hung Le, Yingbo Zhou, Caiming Xiong, Silvio Savarese, Doyen Sahoo |
| 2025 | NAACL | SuperRAG: Beyond RAG with Layout-Aware Graph Modeling. | Chening Yang, Duy-Khanh Vu, Minh-Tien Nguyen, Xuan-Quang Nguyen, Linh Nguyen, Hung Le |
| 2025 | PAKDD | Automatic Prompt Selection for Large Language Models. | Viet-Tung Do, Xuan-Quang Nguyen, Van-Khanh Hoang, Duy-Hung Nguyen, Shahab Sabahi, Jeff Yang, Hajime Hotta, Minh-Tien Nguyen, Hung Le |
| 2025 | WACV | Fair Domain Generalization with Heterogeneous Sensitive Attributes Across Domains. | Ragja Palakkadavath, Hung Le, Thanh Nguyen-Tang, Sunil Gupta, Svetha Venkatesh |
| 2025 | SODA | Spanners in Planar Domains via Steiner Spanners and non-Steiner Tree Covers. | Sujoy Bhore, Balzs Keszegh, Andrey Kupavskii, Hung Le, Alexandre Louvet, Dmtr Plvlgyi, Csaba D. Tth |
| 2025 | SODA | Embedding Planar Graphs into Graphs of Treewidth | Hsien-Chih Chang, Vincent Cohen-Addad, Jonathan Conroy, Hung Le, Marcin Pilipczuk, Michal Pilipczuk |
| 2025 | STOC | Light Tree Covers, Routing, and Path-Reporting Oracles via Spanning Tree Covers in Doubling Graphs. | Hsien-Chih Chang, Jonathan Conroy, Hung Le, Shay Solomon, Cuong Than |
| 2025 | STOC | Dynamic Locality Sensitive Orderings in Doubling Metrics. | An La, Hung Le |
| 2024 | CoDIT | A Novel PIML Architecture with Innovative Learning Paradigm Applied in Battery Prognostics. | Weikun Deng, Khanh T. P. Nguyen, Christian Gogu, Kamal Medjaher, Jrme Morio, Hung Le, Dazhong Wu |
| 2024 | ECAI | Revisiting the Dataset Bias Problem from a Statistical Perspective. | Kien Do, Dung Nguyen, Hung Le, Thao Le, Dang Nguyen, Haripriya Harikumar, Truyen Tran, Santu Rana, Svetha Venkatesh |
| 2024 | ECAI | Large Language Model Prompting with Episodic Memory. | Dai Do, Quan Tran, Svetha Venkatesh, Hung Le |
| 2024 | FOCS | Towards Instance-Optimal Euclidean Spanners. | Hung Le, Shay Solomon, Cuong Than, Csaba D. Tth, Tianyi Zhang |
| 2024 | ICLR | CodeChain: Towards Modular Code Generation Through Chain of Self-revisions with Representative Sub-modules. | Hung Le, Hailin Chen, Amrita Saha, Akash Gokul, Doyen Sahoo, Shafiq Joty |
| 2024 | ICMI | Do We Need To Watch It All? Efficient Job Interview Video Processing with Differentiable Masking. | Hung Le, Sixia Li, Candy Olivia Mawalim, Hung-Hsuan Huang, Chee Wee Leong, Shogo Okada |
| 2024 | IJCAI | Diversifying Training Pool Predictability for Zero-shot Coordination: A Theory of Mind Approach. | Dung Nguyen, Hung Le, Kien Do, Sunil Gupta, Svetha Venkatesh, Truyen Tran |
| 2024 | ISSTA | VRDSynth: Synthesizing Programs for Multilingual Visually Rich Document Information Extraction. | Thanh-Dat Nguyen, Tung Do-Viet, Hung Nguyen-Duy, Tuan-Hai Luu, Hung Le, Bach Le, Patanamon Thongtanunam |
| 2024 | SODA | Shortcut Partitions in Minor-Free Graphs: Steiner Point Removal, Distance Oracles, Tree Covers, and More. | Hsien-Chih Chang, Jonathan Conroy, Hung Le, Lazar Milenkovic, Shay Solomon, Cuong Than |
| 2024 | SODA | VC Set Systems in Minor-free (Di)Graphs and Applications. | Hung Le, Christian Wulff-Nilsen |
| 2023 | AAAI | Memory-Augmented Theory of Mind Network. | Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran |
| 2023 | ACL | LAVIS: A One-stop Library for Language-Vision Intelligence. | Dongxu Li, Junnan Li, Hung Le, Guangsen Wang, Silvio Savarese, Steven C. H. Hoi |
| 2023 | ACML | Domain Generalization with Interpolation Robustness. | Ragja Palakkadavath, Thanh Nguyen-Tang, Hung Le, Svetha Venkatesh, Sunil Gupta |
| 2023 | EMNLP | CodeT5+: Open Code Large Language Models for Code Understanding and Generation. | Yue Wang, Hung Le, Akhilesh Gotmare, Nghi D. Q. Bui, Junnan Li, Steven C. H. Hoi |
| 2023 | FOCS | Covering Planar Metrics (and Beyond): O(1) Trees Suffice. | Hsien-Chih Chang, Jonathan Conroy, Hung Le, Lazar Milenkovic, Shay Solomon, Cuong Than |
| 2023 | FOCS | Planar and Minor-Free Metrics Embed into Metrics of Polylogarithmic Treewidth with Expected Multiplicative Distortion Arbitrarily Close to 1. | Vincent Cohen-Addad, Hung Le, Marcin Pilipczuk, Michal Pilipczuk |
| 2023 | FOCS | Optimal Fault-Tolerant Spanners in Euclidean and Doubling Metrics: Breaking the Ω (log n) Lightness Barrier. | Hung Le, Shay Solomon, Cuong Than |
| 2023 | HCI | Investigating the Effect of Linguistic Features on Personality and Job Performance Predictions. | Hung Le, Sixia Li, Candy Olivia Mawalim, Hung-Hsuan Huang, Chee Wee Leong, Shogo Okada |
| 2023 | ICLR | Improving Out-of-distribution Generalization with Indirection Representations. | Kha Pham, Hung Le, Man Ngo, Truyen Tran |
| 2023 | IJCAI | Social Motivation for Modelling Other Agents under Partial Observability in Decentralised Training. | Dung Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran |
| 2023 | SODA | Approximate Distance Oracles for Planar Graphs with Subpolynomial Error Dependency. | Hung Le |
| 2023 | STOC | A Unified Framework for Light Spanners. | Hung Le, Shay Solomon |
| 2023 | SIGdial | C3: Compositional Counterfactual Contrastive Learning for Video-grounded Dialogues. | Hung Le, Nancy F. Chen, Steven C. H. Hoi |
| 2022 | AAAI | Episodic Policy Gradient Training. | Hung Le, Majid Abdolshah, Thommen George Karimpanal, Kien Do, Dung Nguyen, Svetha Venkatesh |
| 2022 | ECCV | Towards Effective and Robust Neural Trojan Defenses via Input Filtering. | Kien Do, Haripriya Harikumar, Hung Le, Dung Nguyen, Truyen Tran, Santu Rana, Dang Nguyen, Willy Susilo, Svetha Venkatesh |
| 2022 | FOCS | Low Treewidth Embeddings of Planar and Minor-Free Metrics. | Arnold Filtser, Hung Le |
| 2022 | ICLR | Generative Pseudo-Inverse Memory. | Kha Pham, Hung Le, Man Ngo, Truyen Tran, Bao Ho, Svetha Venkatesh |
| 2022 | ICML | Neurocoder: General-Purpose Computation Using Stored Neural Programs. | Hung Le, Svetha Venkatesh |
| 2022 | ICONIP | Improving Document Image Understanding with Reinforcement Finetuning. | Bao-Sinh Nguyen, Dung Tien Le, Hieu M. Vu, Tuan-Anh D. Nguyen, Minh-Tien Nguyen, Hung Le |
| 2022 | ICONIP | HYCEDIS: HYbrid Confidence Engine for Deep Document Intelligence System. | Bao-Sinh Nguyen, Quang-Bach Tran, Tuan-Anh D. Nguyen, Hung Le |
| 2022 | NAACL | VGNMN: Video-grounded Neural Module Networks for Video-Grounded Dialogue Systems. | Hung Le, Nancy F. Chen, Steven C. H. Hoi |
| 2022 | NAACL | Multimodal Dialogue State Tracking. | Hung Le, Nancy F. Chen, Steven C. H. Hoi |
| 2022 | NAACL | Make The Most of Prior Data: A Solution for Interactive Text Summarization with Preference Feedback. | Duy-Hung Nguyen, Nguyen-Viet-Dung Nghiem, Bao-Sinh Nguyen, Dung Tien Le, Shahab Sabahi, Minh-Tien Nguyen, Hung Le |
| 2022 | PODC | Can't See the Forest for the Trees: Navigating Metric Spaces by Bounded Hop-Diameter Spanners. | Omri Kahalon, Hung Le, Lazar Milenkovic, Shay Solomon |
| 2022 | SODA | Near-Optimal Spanners for General Graphs in (Nearly) Linear Time. | Hung Le, Shay Solomon |
| 2022 | SODA | Greedy Spanners in Euclidean Spaces Admit Sublinear Separators. | Hung Le, Cuong Than |
| 2022 | STOC | Locality-sensitive orderings and applications to reliable spanners. | Arnold Filtser, Hung Le |
| 2021 | ACL | DVD: A Diagnostic Dataset for Multi-step Reasoning in Video Grounded Dialogue. | Hung Le, Chinnadhurai Sankar, Seungwhan Moon, Ahmad Beirami, Alborz Geramifard, Satwik Kottur |
| 2021 | FOCS | Optimal Approximate Distance Oracle for Planar Graphs. | Hung Le, Christian Wulff-Nilsen |
| 2021 | ICLR | Learning Reasoning Paths over Semantic Graphs for Video-grounded Dialogues. | Hung Le, Nancy F. Chen, Steven C. H. Hoi |
| 2021 | ICML | A New Representation of Successor Features for Transfer across Dissimilar Environments. | Majid Abdolshah, Hung Le, Thommen George Karimpanal, Sunil Gupta, Santu Rana, Svetha Venkatesh |
| 2021 | ICONIP | Robust Deep Reinforcement Learning for Extractive Legal Summarization. | Duy-Hung Nguyen, Bao-Sinh Nguyen, Nguyen-Viet-Dung Nghiem, Dung Tien Le, Mim Amina Khatun, Minh-Tien Nguyen, Hung Le |
| 2021 | ICSOC | DeepProcess: Supporting Business Process Execution Using a MANN-Based Recommender System. | Asjad Khan, Hung Le, Kien Do, Truyen Tran, Aditya Ghose, Hoa Khanh Dam, Renuka Sindhgatta |
| 2021 | KDD | From Deep Learning to Deep Reasoning. | Truyen Tran, Vuong Le, Hung Le, Thao Minh Le |
| 2021 | STOC | Clan embeddings into trees, and low treewidth graphs. | Arnold Filtser, Hung Le |
| 2020 | ACL | Video-Grounded Dialogues with Pretrained Generation Language Models. | Hung Le, Steven C. H. Hoi |
| 2020 | EMNLP | BiST: Bi-directional Spatio-Temporal Reasoning for Video-Grounded Dialogues. | Hung Le, Doyen Sahoo, Nancy F. Chen, Steven C. H. Hoi |
| 2020 | EMNLP | UniConv: A Unified Conversational Neural Architecture for Multi-domain Task-oriented Dialogues. | Hung Le, Doyen Sahoo, Chenghao Liu, Nancy F. Chen, Steven C. H. Hoi |
| 2020 | ESA | Light Euclidean Spanners with Steiner Points. | Hung Le, Shay Solomon |
| 2020 | FOCS | On Light Spanners, Low-treewidth Embeddings and Efficient Traversing in Minor-free Graphs. | Vincent Cohen-Addad, Arnold Filtser, Philip N. Klein, Hung Le |
| 2020 | ICLR | Neural Stored-program Memory. | Hung Le, Truyen Tran, Svetha Venkatesh |
| 2020 | ICLR | Non-Autoregressive Dialog State Tracking. | Hung Le, Richard Socher, Steven C. H. Hoi |
| 2020 | ICML | Self-Attentive Associative Memory. | Hung Le, Truyen Tran, Svetha Venkatesh |
| 2020 | ICPR | LODENet: A Holistic Approach to Offline Handwritten Chinese and Japanese Text Line Recognition. | Huu-Tin Hoang, Chun-Jen Peng, Hung Vinh Tran, Hung Le, Huy Hoang Nguyen |
| 2020 | SODA | A PTAS for subset TSP in minor-free graphs. | Hung Le |
| 2019 | ACL | Multimodal Transformer Networks for End-to-End Video-Grounded Dialogue Systems. | Hung Le, Doyen Sahoo, Nancy F. Chen, Steven C. H. Hoi |
| 2019 | COCOON | A Simple Local Search Gives a PTAS for the Feedback Vertex Set Problem in Minor-Free Graphs. | Hung Le, Baigong Zheng |
| 2019 | FOCS | Truly Optimal Euclidean Spanners. | Hung Le, Shay Solomon |
| 2019 | ICLR | Learning to Remember More with Less Memorization. | Hung Le, Truyen Tran, Svetha Venkatesh |
| 2019 | KDD | FoodAI: Food Image Recognition via Deep Learning for Smart Food Logging. | Doyen Sahoo, Hao Wang, Shu Ke, Xiongwei Wu, Hung Le, Palakorn Achananuparp, Ee-Peng Lim, Steven C. H. Hoi |
| 2019 | SODA | Greedy spanners are optimal in doubling metrics. | Glencora Borradaile, Hung Le, Christian Wulff-Nilsen |
| 2018 | KDD | Dual Memory Neural Computer for Asynchronous Two-view Sequential Learning. | Hung Le, Truyen Tran, Svetha Venkatesh |
| 2018 | PAKDD | Dual Control Memory Augmented Neural Networks for Treatment Recommendations. | Hung Le, Truyen Tran, Svetha Venkatesh |
| 2017 | FOCS | Minor-Free Graphs Have Light Spanners. | Glencora Borradaile, Hung Le, Christian Wulff-Nilsen |