Hung Le

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 171

Top Venues

Publications

Viet-Tung Do, Van-Khanh Hoang, Duy-Hung Nguyen, Shahab Sabahi, Jeff Yang, Hajime Hotta, Minh-Tien Nguyen, Hung Le
Automatic Prompt Selection for Large Language Models. CoRR (2024)
Hsien-Chih Chang, Jie Gao, Hung Le
Computing Diameter+2 in Truly Subquadratic Time for Unit-Disk Graphs. CoRR (2024)
Giang Do, Hung Le, Truyen Tran
SimSMoE: Solving Representational Collapse via Similarity Measure. CoRR (2024)
Thanh-Dat Nguyen, Tung Do-Viet, Hung Nguyen-Duy, Tuan-Hai Luu, Hung Le, Bach Le, Patanamon Thongtanunam
VRDSynth: Synthesizing Programs for Multilingual Visually Rich Document Information Extraction. CoRR (2024)
Hung Le, Quan Tran, Dung Nguyen, Kien Do, Saloni Mittal, Kelechi Ogueji, Svetha Venkatesh
Multi-Reference Preference Optimization for Large Language Models. CoRR (2024)
Kien Do, Dung Nguyen, Hung Le, Thao Le, Dang Nguyen, Haripriya Harikumar, Truyen Tran, Santu Rana, Svetha Venkatesh
Revisiting the Dataset Bias Problem from a Statistical Perspective. CoRR (2024)
Kien Do, Duc Kieu, Toan Nguyen, Dang Nguyen, Hung Le, Dung Nguyen, Thin Nguyen
Variational Flow Models: Flowing in Your Style. CoRR (2024)
Hung Le, Dung Nguyen, Kien Do, Svetha Venkatesh, Truyen Tran
Enhancing Length Extrapolation in Sequential Models with Pointer-Augmented Neural Memory. CoRR (2024)
Hung Le, Kien Do, Dung Nguyen, Svetha Venkatesh
Beyond Surprise: Improving Exploration Through Surprise Novelty. AAMAS (2024)
Hung Le, Hailin Chen, Amrita Saha, Akash Gokul, Doyen Sahoo, Shafiq Joty
CodeChain: Towards Modular Code Generation Through Chain of Self-revisions with Representative Sub-modules. ICLR (2024)
Hung Le, Yingbo Zhou, Caiming Xiong, Silvio Savarese, Doyen Sahoo
INDICT: Code Generation with Internal Dialogues of Critiques for Both Security and Helpfulness. CoRR (2024)
Minh Hoang Nguyen, Hung Le, Svetha Venkatesh
Variable-Agnostic Causal Exploration for Reinforcement Learning. CoRR (2024)
Sujoy Bhore, Balázs Keszegh, Andrey Kupavskii, Hung Le, Alexandre Louvet, Dömötör Pálvölgyi, Csaba D. Tóth
Spanners in Planar Domains via Steiner Spanners and non-Steiner Tree Covers. CoRR (2024)
David Junhao Zhang, Dongxu Li, Hung Le, Mike Zheng Shou, Caiming Xiong, Doyen Sahoo
Moonshot: Towards Controllable Video Generation and Editing with Multimodal Conditions. CoRR (2024)
Hung Le
Approximate Distance Oracles for Planar Graphs with Subpolynomial Error Dependency. SODA (2023)
Nghi D. Q. Bui, Hung Le, Yue Wang, Junnan Li, Akhilesh Deepak Gotmare, Steven C. H. Hoi
CodeTF: One-stop Transformer Library for State-of-the-art Code LLM. CoRR (2023)
Hung Le, Nancy F. Chen, Steven C. H. Hoi
C3: Compositional Counterfactual Contrastive Learning for Video-grounded Dialogues. SIGDIAL (2023)
Dongxu Li, Junnan Li, Hung Le, Guangsen Wang, Silvio Savarese, Steven C. H. Hoi
LAVIS: A One-stop Library for Language-Vision Intelligence. ACL (demo) (2023)
Dung Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran
Social Motivation for Modelling Other Agents under Partial Observability in Decentralised Training. IJCAI (2023)
Hung Le, Sixia Li, Candy Olivia Mawalim, Hung-Hsuan Huang, Chee Wee Leong, Shogo Okada
Investigating the Effect of Linguistic Features on Personality and Job Performance Predictions. HCI (15) (2023)
Hung Le, Shay Solomon
A Unified Framework for Light Spanners. STOC (2023)
Hsien-Chih Chang, Jonathan Conroy, Hung Le, Lazar Milenkovic, Shay Solomon, Cuong Than
Resolving the Steiner Point Removal Problem in Planar Graphs via Shortcut Partitions. CoRR (2023)
Yue Wang, Hung Le, Akhilesh Gotmare, Nghi D. Q. Bui, Junnan Li, Steven C. H. Hoi
CodeT5+: Open Code Large Language Models for Code Understanding and Generation. EMNLP (2023)
Hsien-Chih Chang, Jonathan Conroy, Hung Le, Lazar Milenkovic, Shay Solomon, Cuong Than
Shortcut Partitions in Minor-Free Graphs: Steiner Point Removal, Distance Oracles, Tree Covers, and More. CoRR (2023)
Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran
Memory-Augmented Theory of Mind Network. AAAI (2023)
Hsien-Chih Chang, Jonathan Conroy, Hung Le, Lazar Milenkovic, Shay Solomon, Cuong Than
Covering Planar Metrics (and Beyond): O(1) Trees Suffice. FOCS (2023)
Hsien-Chih Chang, Jonathan Conroy, Hung Le, Lazar Milenkovic, Shay Solomon, Cuong Than
Covering Planar Metrics (and Beyond): O(1) Trees Suffice. CoRR (2023)
Hung Le, Kien Do, Dung Nguyen, Svetha Venkatesh
Intrinsic Motivation via Surprise Memory. CoRR (2023)
Hung Le, Hailin Chen, Amrita Saha, Akash Gokul, Doyen Sahoo, Shafiq Joty
CodeChain: Towards Modular Code Generation Through Chain of Self-revisions with Representative Sub-modules. CoRR (2023)
Hung Le, Le Minh Nguyen, Jiaying Ni, Shogo Okada
Constructing a Closed-Domain Question Answering System with Generative Language Models. KSE (2023)
Minh-Tien Nguyen, Duy-Hung Nguyen, Shahab Sabahi, Hung Le, Jeff Yang, Hajime Hotta
When Giant Language Brains Just Aren't Enough! Domain Pizzazz with Knowledge Sparkle Dust. CoRR (2023)
Vincent Cohen-Addad, Hung Le, Marcin Pilipczuk, Michal Pilipczuk
Planar and Minor-Free Metrics Embed into Metrics of Polylogarithmic Treewidth with Expected Multiplicative Distortion Arbitrarily Close to 1. FOCS (2023)
Hung Le, Lazar Milenkovic, Shay Solomon
Sparse Euclidean Spanners with Optimal Diameter: A General and Robust Lower Bound via a Concave Inverse-Ackermann Function. SoCG (2023)
Hung Le, Christian Wulff-Nilsen
VC Set Systems in Minor-free (Di)Graphs and Applications. CoRR (2023)
Thanh Duc Hoang, Do Viet Tung, Duy-Hung Nguyen, Bao-Sinh Nguyen, Huy Hoang Nguyen, Hung Le
Universal Graph Continual Learning. Trans. Mach. Learn. Res. 2023 (2023)
Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran
Memory-Augmented Theory of Mind Network. CoRR (2023)
Yue Wang, Hung Le, Akhilesh Deepak Gotmare, Nghi D. Q. Bui, Junnan Li, Steven C. H. Hoi
CodeT5+: Open Code Large Language Models for Code Understanding and Generation. CoRR (2023)
Sunil Gupta, Alistair Shilton, Arun Kumar A V, Shannon Ryan, Majid Abdolshah, Hung Le, Santu Rana, Julian Berk, Mahad Rashid, Svetha Venkatesh
BO-Muse: A human expert and AI teaming framework for accelerated experimental design. CoRR (2023)
Kha Pham, Hung Le, Man Ngo, Truyen Tran
Improving Out-of-distribution Generalization with Indirection Representations. ICLR (2023)
Hung Le, Shay Solomon, Cuong Than
Optimal Fault-Tolerant Spanners in Euclidean and Doubling Metrics: Breaking the Ω (log n) Lightness Barrier. FOCS (2023)
Vincent Cohen-Addad, Hung Le, Marcin Pilipczuk, Michal Pilipczuk
Planar and Minor-Free Metrics Embed into Metrics of Polylogarithmic Treewidth with Expected Multiplicative Distortion Arbitrarily Close to 1. CoRR (2023)
Hung Le, Shay Solomon, Cuong Than
Optimal Fault-Tolerant Spanners in Euclidean and Doubling Metrics: Breaking the Ω(log n) Lightness Barrier. CoRR (2023)
Ragja Palakkadavath, Thanh Nguyen-Tang, Hung Le, Svetha Venkatesh, Sunil Gupta
Domain Generalization with Interpolation Robustness. ACML (2023)
Thommen George Karimpanal, Hung Le, Majid Abdolshah, Santu Rana, Sunil Gupta, Truyen Tran, Svetha Venkatesh
Balanced Q-learning: Combining the influence of optimistic and pessimistic targets. Artif. Intell. 325 (2023)
Thommen George Karimpanal, Buddhika Laknath Semage, Santu Rana, Hung Le, Truyen Tran, Sunil Gupta, Svetha Venkatesh
LaGR-SEQ: Language-Guided Reinforcement Learning with Sample-Efficient Querying. CoRR (2023)
Thanh Duc Hoang, Do Viet Tung, Duy-Hung Nguyen, Bao-Sinh Nguyen, Huy Hoang Nguyen, Hung Le
Universal Graph Continual Learning. CoRR (2023)
Hung Le, Majid Abdolshah, Thommen K. George, Kien Do, Dung Nguyen, Svetha Venkatesh
Episodic Policy Gradient Training. AAAI (2022)
Hung Le, Lazar Milenkovic, Shay Solomon, Virginia Vassilevska Williams
Dynamic Matching Algorithms Under Vertex Updates. ITCS (2022)
Kha Pham, Hung Le, Man Ngo, Truyen Tran, Bao Ho, Svetha Venkatesh
Generative Pseudo-Inverse Memory. ICLR (2022)
Dongxu Li, Junnan Li, Hung Le, Guangsen Wang, Silvio Savarese, Steven C. H. Hoi
LAVIS: A Library for Language-Vision Intelligence. CoRR (2022)
Arnold Filtser, Hung Le
Low Treewidth Embeddings of Planar and Minor-Free Metrics. CoRR (2022)
Wenzhuo Yang, Hung Le, Silvio Savarese, Steven C. H. Hoi
OmniXAI: A Library for Explainable AI. CoRR (2022)
Hung Le
Approximate Distance Oracles for Planar Graphs with Subpolynomial Error Dependency. CoRR (2022)
Hung Le, Christian Wulff-Nilsen
Optimal Approximate Distance Oracle for Planar Graphs. FOCS (2022)
Hung Le, Thommen George Karimpanal, Majid Abdolshah, Dung Nguyen, Kien Do, Sunil Gupta, Svetha Venkatesh
Memory-Constrained Policy Optimization. CoRR (2022)
Hung Le, Yue Wang, Akhilesh Deepak Gotmare, Silvio Savarese, Steven C. H. Hoi
CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning. CoRR (2022)
Bao-Sinh Nguyen, Dung Tien Le, Hieu M. Vu, Tuan-Anh D. Nguyen, Minh-Tien Nguyen, Hung Le
Improving Document Image Understanding with Reinforcement Finetuning. ICONIP (7) (2022)
Duy-Hung Nguyen, Nguyen-Viet-Dung Nghiem, Bao-Sinh Nguyen, Dung Tien Le, Shahab Sabahi, Minh-Tien Nguyen, Hung Le
Make The Most of Prior Data: A Solution for Interactive Text Summarization with Preference Feedback. NAACL-HLT (Findings) (2022)
Hung Le, Yue Wang, Akhilesh Deepak Gotmare, Silvio Savarese, Steven Chu-Hong Hoi
CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning. NeurIPS (2022)
Hung Le, Nancy F. Chen, Steven C. H. Hoi
Multimodal Dialogue State Tracking. CoRR (2022)
Bao-Sinh Nguyen, Dung Tien Le, Hieu M. Vu, Tuan-Anh D. Nguyen, Minh-Tien Nguyen, Hung Le
Improving Document Image Understanding with Reinforcement Finetuning. CoRR (2022)
Kha Pham, Hung Le, Man Ngo, Truyen Tran
Functional Indirection Neural Estimator for Better Out-of-distribution Generalization. CoRR (2022)
Phuc Do, Hung Le, An B. Pham, Cuong H. Nguyen
Using BERT and Knowledge Graph for detecting triples in Vietnamese text. Neural Comput. Appl. 34 (20) (2022)
Kien Do, Haripriya Harikumar, Hung Le, Dung Nguyen, Truyen Tran, Santu Rana, Dang Nguyen, Willy Susilo, Svetha Venkatesh
Towards Effective and Robust Neural Trojan Defenses via Input Filtering. CoRR (2022)
Duy-Hung Nguyen, Nguyen-Viet-Dung Nghiem, Bao-Sinh Nguyen, Dung Tien Le, Shahab Sabahi, Minh-Tien Nguyen, Hung Le
Make The Most of Prior Data: A Solution for Interactive Text Summarization with Preference Feedback. CoRR (2022)
Kien Do, Hung Le, Dung Nguyen, Dang Nguyen, Haripriya Harikumar, Truyen Tran, Santu Rana, Svetha Venkatesh
Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation. CoRR (2022)
Arnold Filtser, Hung Le
Low Treewidth Embeddings of Planar and Minor-Free Metrics. FOCS (2022)
Hung Le, Lazar Milenkovic, Shay Solomon
Sparse Euclidean Spanners with Tiny Diameter: A Tight Lower Bound. SoCG (2022)
Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran
Learning Theory of Mind via Dynamic Traits Attribution. AAMAS (2022)
Kien Do, Hung Le, Dung Nguyen, Dang Nguyen, Haripriya Harikumar, Truyen Tran, Santu Rana, Svetha Venkatesh
Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation. NeurIPS (2022)
Phuc Do, Trung Phan, Hung Le, Brij B. Gupta
Building a knowledge graph by using cross-lingual transfer method and distributed MinIE algorithm on apache spark. Neural Comput. Appl. 34 (11) (2022)
Hung Le, Nancy Chen, Steven Hoi
Multimodal Dialogue State Tracking. NAACL-HLT (2022)
Hung Le, Nancy F. Chen, Steven C. H. Hoi
VGNMN: Video-grounded Neural Module Networks for Video-Grounded Dialogue Systems. NAACL-HLT (2022)
Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran
Learning Theory of Mind via Dynamic Traits Attribution. CoRR (2022)
Do Hoang Thai Duong, Nguyen Hong Son, Hung Le, Minh-Tien Nguyen
Learning to Generate Questions by Enhancing Text Generation with Sentence Selection. CoRR (2022)
Nathan Ng, Hung Le, Marco Serafini
Tuning the Tail Latency of Distributed Queries Using Replication. CoRR (2022)
Hung Le, Cuong Than
Greedy Spanners in Euclidean Spaces Admit Sublinear Separators. SODA (2022)
Hung Le, Svetha Venkatesh
Neurocoder: General-Purpose Computation Using Stored Neural Programs. ICML (2022)
Arnold Filtser, Hung Le
Locality-sensitive orderings and applications to reliable spanners. STOC (2022)
Kien Do, Haripriya Harikumar, Hung Le, Dung Nguyen, Truyen Tran, Santu Rana, Dang Nguyen, Willy Susilo, Svetha Venkatesh
Towards Effective and Robust Neural Trojan Defenses via Input Filtering. ECCV (5) (2022)
Bao-Sinh Nguyen, Quang-Bach Tran, Tuan-Anh D. Nguyen, Hung Le
HYCEDIS: HYbrid Confidence Engine for Deep Document Intelligence System. ICONIP (7) (2022)
Kha Pham, Hung Le, Man Ngo, Truyen Tran
Functional Indirection Neural Estimator for Better Out-of-distribution Generalization. NeurIPS (2022)
Bao-Sinh Nguyen, Quang-Bach Tran, Tuan Anh Nguyen Dang, Duc Nguyen, Hung Le
HYCEDIS: HYbrid Confidence Engine for Deep Document Intelligence System. CoRR (2022)
Hung Le, Shay Solomon
Near-Optimal Spanners for General Graphs in (Nearly) Linear Time. SODA (2022)
Omri Kahalon, Hung Le, Lazar Milenkovic, Shay Solomon
Can't See the Forest for the Trees: Navigating Metric Spaces by Bounded Hop-Diameter Spanners. PODC (2022)
Hung Le, Nancy F. Chen, Steven C. H. Hoi
Learning Reasoning Paths over Semantic Graphs for Video-grounded Dialogues. CoRR (2021)
Omri Kahalon, Hung Le, Lazar Milenkovic, Shay Solomon
Can't See The Forest for the Trees: Navigating Metric Spaces by Bounded Hop-Diameter Spanners. CoRR (2021)
Hung Le, Chinnadhurai Sankar, Seungwhan Moon, Ahmad Beirami, Alborz Geramifard, Satwik Kottur
DVD: A Diagnostic Dataset for Multi-step Reasoning in Video Grounded Dialogue. CoRR (2021)
Arnold Filtser, Hung Le
Clan embeddings into trees, and low treewidth graphs. STOC (2021)
Arnold Filtser, Hung Le
Reliable Spanners: Locality-Sensitive Orderings Strike Back. CoRR (2021)
Asjad Khan, Hung Le, Kien Do, Truyen Tran, Aditya Ghose, Hoa Khanh Dam, Renuka Sindhgatta
DeepProcess: Supporting Business Process Execution Using a MANN-Based Recommender System. ICSOC (2021)
Hung Le, Cuong Than
Greedy Spanners in Euclidean Spaces Admit Sublinear Separators. CoRR (2021)
Hung Le, Majid Abdolshah, Thommen K. George, Kien Do, Dung Nguyen, Svetha Venkatesh
Episodic Policy Gradient Training. CoRR (2021)
Majid Abdolshah, Hung Le, Thommen George Karimpanal, Sunil Gupta, Santu Rana, Svetha Venkatesh
A New Representation of Successor Features for Transfer across Dissimilar Environments. ICML (2021)
Hung Le, Nancy F. Chen, Steven C. H. Hoi
Learning Reasoning Paths over Semantic Graphs for Video-grounded Dialogues. ICLR (2021)
Hung Le, Lazar Milenkovic, Shay Solomon
Sparse Euclidean Spanners with Tiny Diameter: A Tight Lower Bound. CoRR (2021)
Hung Le, Christian Wulff-Nilsen
Optimal Approximate Distance Oracle for Planar Graphs. FOCS (2021)
Majid Abdolshah, Hung Le, Thommen George Karimpanal, Sunil Gupta, Santu Rana, Svetha Venkatesh
A New Representation of Successor Features for Transfer across Dissimilar Environments. CoRR (2021)
Hung Le, Shay Solomon
Near-Optimal Spanners for General Graphs in (Nearly) Linear Time. CoRR (2021)
Hung Le, Nancy F. Chen, Steven C. H. Hoi
: Compositional Counterfactual Constrastive Learning for Video-grounded Dialogues. CoRR (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Hung Le