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Hung Le
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
- [i85]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 abs/2401.01827 (2024) - [i84]Hsien-Chih Chang, Jie Gao, Hung Le:
Computing Diameter+2 in Truly Subquadratic Time for Unit-Disk Graphs. CoRR abs/2401.12881 (2024) - [i83]Kien Do, Duc Kieu, Toan Nguyen, Dang Nguyen, Hung Le, Dung Nguyen, Thin Nguyen:
Variational Flow Models: Flowing in Your Style. CoRR abs/2402.02977 (2024) - [i82]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 abs/2402.03577 (2024) - 2023
- [j9]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: 104021 (2023) - [c67]Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran:
Memory-Augmented Theory of Mind Network. AAAI 2023: 11630-11637 - [c66]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: 31-41 - [c65]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: 47:1-47:17 - [c64]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: 1069-1088 - [c63]Hung Le, Shay Solomon, Cuong Than:
Optimal Fault-Tolerant Spanners in Euclidean and Doubling Metrics: Breaking the Ω (log n) Lightness Barrier. FOCS 2023: 77-97 - [c62]Hsien-Chih Chang, Jonathan Conroy, Hung Le, Lazar Milenkovic, Shay Solomon, Cuong Than:
Covering Planar Metrics (and Beyond): O(1) Trees Suffice. FOCS 2023: 2231-2261 - [c61]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: 2262-2277 - [c60]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: 370-383 - [c59]Kha Pham, Hung Le, Man Ngo, Truyen Tran:
Improving Out-of-distribution Generalization with Indirection Representations. ICLR 2023 - [c58]Dung Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran:
Social Motivation for Modelling Other Agents under Partial Observability in Decentralised Training. IJCAI 2023: 4082-4090 - [c57]Hung Le, Le Minh Nguyen, Jiaying Ni, Shogo Okada:
Constructing a Closed-Domain Question Answering System with Generative Language Models. KSE 2023: 1-6 - [c56]Hung Le, Nancy F. Chen, Steven C. H. Hoi:
C3: Compositional Counterfactual Contrastive Learning for Video-grounded Dialogues. SIGDIAL 2023: 548-561 - [c55]Hung Le:
Approximate Distance Oracles for Planar Graphs with Subpolynomial Error Dependency. SODA 2023: 1877-1904 - [c54]Hung Le, Shay Solomon:
A Unified Framework for Light Spanners. STOC 2023: 295-308 - [i81]Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran:
Memory-Augmented Theory of Mind Network. CoRR abs/2301.06926 (2023) - [i80]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 abs/2303.01684 (2023) - [i79]Hung Le, Christian Wulff-Nilsen:
VC Set Systems in Minor-free (Di)Graphs and Applications. CoRR abs/2304.01790 (2023) - [i78]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 abs/2304.07268 (2023) - [i77]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 abs/2305.07230 (2023) - [i76]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 abs/2305.07922 (2023) - [i75]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 abs/2306.00029 (2023) - [i74]Hsien-Chih Chang, Jonathan Conroy, Hung Le, Lazar Milenkovic, Shay Solomon, Cuong Than:
Covering Planar Metrics (and Beyond): O(1) Trees Suffice. CoRR abs/2306.06215 (2023) - [i73]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 abs/2306.06235 (2023) - [i72]Hung Le, Shay Solomon, Cuong Than:
Optimal Fault-Tolerant Spanners in Euclidean and Doubling Metrics: Breaking the Ω(log n) Lightness Barrier. CoRR abs/2306.11226 (2023) - [i71]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 abs/2308.00555 (2023) - [i70]Hung Le, Kien Do, Dung Nguyen, Svetha Venkatesh:
Intrinsic Motivation via Surprise Memory. CoRR abs/2308.04836 (2023) - [i69]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 abs/2308.13542 (2023) - [i68]Thanh Duc Hoang, Do Viet Tung, Duy-Hung Nguyen, Bao-Sinh Nguyen, Huy Hoang Nguyen, Hung Le:
Universal Graph Continual Learning. CoRR abs/2308.13982 (2023) - [i67]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 abs/2310.08992 (2023) - 2022
- [j8]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): 8393-8409 (2022) - [j7]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): 17999-18013 (2022) - [c53]Hung Le, Majid Abdolshah, Thommen George Karimpanal, Kien Do, Dung Nguyen, Svetha Venkatesh:
Episodic Policy Gradient Training. AAAI 2022: 7317-7325 - [c52]Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran:
Learning Theory of Mind via Dynamic Traits Attribution. AAMAS 2022: 954-962 - [c51]Hung Le, Lazar Milenkovic, Shay Solomon:
Sparse Euclidean Spanners with Tiny Diameter: A Tight Lower Bound. SoCG 2022: 54:1-54:15 - [c50]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: 283-300 - [c49]Arnold Filtser, Hung Le:
Low Treewidth Embeddings of Planar and Minor-Free Metrics. FOCS 2022: 1081-1092 - [c48]Kha Pham, Hung Le, Man Ngo, Truyen Tran, Bao Ho, Svetha Venkatesh:
Generative Pseudo-Inverse Memory. ICLR 2022 - [c47]Hung Le, Svetha Venkatesh:
Neurocoder: General-Purpose Computation Using Stored Neural Programs. ICML 2022: 12204-12221 - [c46]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: 51-63 - [c45]Bao-Sinh Nguyen, Quang-Bach Tran, Tuan-Anh D. Nguyen, Hung Le:
HYCEDIS: HYbrid Confidence Engine for Deep Document Intelligence System. ICONIP (7) 2022: 89-99 - [c44]Hung Le, Lazar Milenkovic, Shay Solomon, Virginia Vassilevska Williams:
Dynamic Matching Algorithms Under Vertex Updates. ITCS 2022: 96:1-96:24 - [c43]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: 1919-1930 - [c42]Hung Le, Nancy F. Chen, Steven C. H. Hoi:
VGNMN: Video-grounded Neural Module Networks for Video-Grounded Dialogue Systems. NAACL-HLT 2022: 3377-3393 - [c41]Hung Le, Nancy F. Chen, Steven C. H. Hoi:
Multimodal Dialogue State Tracking. NAACL-HLT 2022: 3394-3415 - [c40]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 - [c39]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 - [c38]Kha Pham, Hung Le, Man Ngo, Truyen Tran:
Functional Indirection Neural Estimator for Better Out-of-distribution Generalization. NeurIPS 2022 - [c37]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: 151-162 - [c36]Hung Le, Cuong Than:
Greedy Spanners in Euclidean Spaces Admit Sublinear Separators. SODA 2022: 3287-3310 - [c35]Hung Le, Shay Solomon:
Near-Optimal Spanners for General Graphs in (Nearly) Linear Time. SODA 2022: 3332-3361 - [c34]Arnold Filtser, Hung Le:
Locality-sensitive orderings and applications to reliable spanners. STOC 2022: 1066-1079 - [i66]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 abs/2202.12154 (2022) - [i65]Arnold Filtser, Hung Le:
Low Treewidth Embeddings of Planar and Minor-Free Metrics. CoRR abs/2203.15627 (2022) - [i64]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 abs/2204.05512 (2022) - [i63]Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran:
Learning Theory of Mind via Dynamic Traits Attribution. CoRR abs/2204.09047 (2022) - [i62]Hung Le, Thommen George Karimpanal, Majid Abdolshah, Dung Nguyen, Kien Do, Sunil Gupta, Svetha Venkatesh:
Memory-Constrained Policy Optimization. CoRR abs/2204.09315 (2022) - [i61]Wenzhuo Yang, Hung Le, Silvio Savarese, Steven C. H. Hoi:
OmniXAI: A Library for Explainable AI. CoRR abs/2206.01612 (2022) - [i60]Bao-Sinh Nguyen, Quang-Bach Tran, Tuan Anh Nguyen Dang, Duc Nguyen, Hung Le:
HYCEDIS: HYbrid Confidence Engine for Deep Document Intelligence System. CoRR abs/2206.02628 (2022) - [i59]Hung Le, Nancy F. Chen, Steven C. H. Hoi:
Multimodal Dialogue State Tracking. CoRR abs/2206.07898 (2022) - [i58]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 abs/2207.01780 (2022) - [i57]Hung Le:
Approximate Distance Oracles for Planar Graphs with Subpolynomial Error Dependency. CoRR abs/2207.05659 (2022) - [i56]Dongxu Li, Junnan Li, Hung Le, Guangsen Wang, Silvio Savarese, Steven C. H. Hoi:
LAVIS: A Library for Language-Vision Intelligence. CoRR abs/2209.09019 (2022) - [i55]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 abs/2209.10359 (2022) - [i54]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 abs/2209.12561 (2022) - [i53]Kha Pham, Hung Le, Man Ngo, Truyen Tran:
Functional Indirection Neural Estimator for Better Out-of-distribution Generalization. CoRR abs/2210.12739 (2022) - [i52]Nathan Ng, Hung Le, Marco Serafini:
Tuning the Tail Latency of Distributed Queries Using Replication. CoRR abs/2212.10387 (2022) - [i51]Do Hoang Thai Duong, Nguyen Hong Son, Hung Le, Minh-Tien Nguyen:
Learning to Generate Questions by Enhancing Text Generation with Sentence Selection. CoRR abs/2212.12192 (2022) - 2021
- [c33]Hung Le, Chinnadhurai Sankar, Seungwhan Moon, Ahmad Beirami, Alborz Geramifard, Satwik Kottur:
DVD: A Diagnostic Dataset for Multi-step Reasoning in Video Grounded Dialogue. ACL/IJCNLP (1) 2021: 5651-5665 - [c32]Hung Le, Christian Wulff-Nilsen:
Optimal Approximate Distance Oracle for Planar Graphs. FOCS 2021: 363-374 - [c31]Hung Le, Nancy F. Chen, Steven C. H. Hoi:
Learning Reasoning Paths over Semantic Graphs for Video-grounded Dialogues. ICLR 2021 - [c30]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: 1-9 - [c29]Duy-Hung Nguyen, Bao-Sinh Nguyen, Nguyen-Viet-Dung Nghiem, Dung Tien Le, Mim Amina Khatun, Minh-Tien Nguyen, Hung Le:
Robust Deep Reinforcement Learning for Extractive Legal Summarization. ICONIP (6) 2021: 597-604 - [c28]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: 19-33 - [c27]Truyen Tran, Vuong Le, Hung Le, Thao Minh Le:
From Deep Learning to Deep Reasoning. KDD 2021: 4076-4077 - [c26]Hung Le, Thommen George Karimpanal, Majid Abdolshah, Truyen Tran, Svetha Venkatesh:
Model-Based Episodic Memory Induces Dynamic Hybrid Controls. NeurIPS 2021: 30313-30325 - [c25]Hung Le, Huy To, Hung An, Khanh Ho, Khoa Nguyen, Thua Nguyen, Tien Do, Thanh Duc Ngo, Duy-Dinh Le:
MC-OCR Challenge 2021: An end-to-end recognition framework for Vietnamese Receipts. RIVF 2021: 1-6 - [c24]Arnold Filtser, Hung Le:
Clan embeddings into trees, and low treewidth graphs. STOC 2021: 342-355 - [i50]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 abs/2101.00151 (2021) - [i49]Arnold Filtser, Hung Le:
Clan Embeddings into Trees, and Low Treewidth Graphs. CoRR abs/2101.01146 (2021) - [i48]Arnold Filtser, Hung Le:
Reliable Spanners: Locality-Sensitive Orderings Strike Back. CoRR abs/2101.07428 (2021) - [i47]Hung Le, Nancy F. Chen, Steven C. H. Hoi:
Learning Reasoning Paths over Semantic Graphs for Video-grounded Dialogues. CoRR abs/2103.00820 (2021) - [i46]Hung Le, Nancy F. Chen, Steven C. H. Hoi:
VGNMN: Video-grounded Neural Module Network to Video-Grounded Language Tasks. CoRR abs/2104.07921 (2021) - [i45]Hung Le, Nancy F. Chen, Steven C. H. Hoi:
C3: Compositional Counterfactual Constrastive Learning for Video-grounded Dialogues. CoRR abs/2106.08914 (2021) - [i44]Hung Le, Shay Solomon:
Towards a Unified Theory of Light Spanners I: Fast (Yet Optimal) Constructions. CoRR abs/2106.15596 (2021) - [i43]Hung Le:
Memory and attention in deep learning. CoRR abs/2107.01390 (2021) - [i42]Hung Le, Cuong Than:
Greedy Spanners in Euclidean Spaces Admit Sublinear Separators. CoRR abs/2107.06490 (2021) - [i41]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 abs/2107.08426 (2021) - [i40]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 abs/2107.14221 (2021) - [i39]Hung Le, Shay Solomon:
Near-Optimal Spanners for General Graphs in (Nearly) Linear Time. CoRR abs/2108.00102 (2021) - [i38]Majid Abdolshah, Hung Le, Thommen George Karimpanal, Sunil Gupta, Santu Rana, Svetha Venkatesh:
Plug and Play, Model-Based Reinforcement Learning. CoRR abs/2108.08960 (2021) - [i37]Hung Le, Thommen George Karimpanal, Majid Abdolshah, Truyen Tran, Svetha Venkatesh:
Model-Based Episodic Memory Induces Dynamic Hybrid Controls. CoRR abs/2111.02104 (2021) - [i36]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. CoRR abs/2111.02787 (2021) - [i35]Hung Le, Christian Wulff-Nilsen:
Optimal Approximate Distance Oracle for Planar Graphs. CoRR abs/2111.03560 (2021) - [i34]Duy-Hung Nguyen, Bao-Sinh Nguyen, Nguyen-Viet-Dung Nghiem, Dung Tien Le, Mim Amina Khatun, Minh-Tien Nguyen, Hung Le:
Robust Deep Reinforcement Learning for Extractive Legal Summarization. CoRR abs/2111.07158 (2021) - [i33]Hung Le, Shay Solomon:
A Unified Framework of Light Spanners II: Fine-Grained Optimality. CoRR abs/2111.13748 (2021) - [i32]Hung Le, Majid Abdolshah, Thommen George Karimpanal, Kien Do, Dung Nguyen, Svetha Venkatesh:
Episodic Policy Gradient Training. CoRR abs/2112.01853 (2021) - [i31]Hung Le, Lazar Milenkovic, Shay Solomon:
Sparse Euclidean Spanners with Tiny Diameter: A Tight Lower Bound. CoRR abs/2112.09124 (2021) - 2020
- [j6]Hung Le, Doyen Sahoo, Nancy F. Chen, Steven C. H. Hoi:
Hierarchical multimodal attention for end-to-end audio-visual scene-aware dialogue response generation. Comput. Speech Lang. 63: 101095 (2020) - [j5]Hung Le, Baigong Zheng:
Local search is a PTAS for feedback vertex set in minor-free graphs. Theor. Comput. Sci. 838: 17-24 (2020) - [c23]Hung Le, Steven C. H. Hoi:
Video-Grounded Dialogues with Pretrained Generation Language Models. ACL 2020: 5842-5848 - [c22]Hung Le, Doyen Sahoo, Nancy F. Chen, Steven C. H. Hoi:
BiST: Bi-directional Spatio-Temporal Reasoning for Video-Grounded Dialogues. EMNLP (1) 2020: 1846-1859 - [c21]Hung Le, Doyen Sahoo, Chenghao Liu, Nancy F. Chen, Steven C. H. Hoi:
UniConv: A Unified Conversational Neural Architecture for Multi-domain Task-oriented Dialogues. EMNLP (1) 2020: 1860-1877 - [c20]Hung Le, Shay Solomon:
Light Euclidean Spanners with Steiner Points. ESA 2020: 67:1-67:22 - [c19]Vincent Cohen-Addad, Arnold Filtser, Philip N. Klein, Hung Le:
On Light Spanners, Low-treewidth Embeddings and Efficient Traversing in Minor-free Graphs. FOCS 2020: 589-600 - [c18]Hung Le, Truyen Tran, Svetha Venkatesh:
Neural Stored-program Memory. ICLR 2020 - [c17]Hung Le, Richard Socher, Steven C. H. Hoi:
Non-Autoregressive Dialog State Tracking. ICLR 2020 - [c16]Hung Le, Truyen Tran, Svetha Venkatesh:
Self-Attentive Associative Memory. ICML 2020: 5682-5691 - [c15]Huu-Tin Hoang, Chun-Jen Peng, Hung Vinh Tran, Hung Le, Huy Hoang Nguyen:
LODENet: A Holistic Approach to Offline Handwritten Chinese and Japanese Text Line Recognition. ICPR 2020: 4813-4820 - [c14]Hung Le:
A PTAS for subset TSP in minor-free graphs. SODA 2020: 2279-2298 - [i30]Hung Le, Truyen Tran, Svetha Venkatesh:
Self-Attentive Associative Memory. CoRR abs/2002.03519 (2020) - [i29]Hung Le, Richard Socher, Steven C. H. Hoi:
Non-Autoregressive Dialog State Tracking. CoRR abs/2002.08024 (2020) - [i28]Hung Le, Nancy F. Chen:
Multimodal Transformer with Pointer Network for the DSTC8 AVSD Challenge. CoRR abs/2002.10695 (2020) - [i27]Hung Le, Doyen Sahoo, Chenghao Liu, Nancy F. Chen, Steven C. H. Hoi:
UniConv: A Unified Conversational Neural Architecture for Multi-domain Task-oriented Dialogues. CoRR abs/2004.14307 (2020) - [i26]Hung Le, Steven C. H. Hoi:
Video-Grounded Dialogues with Pretrained Generation Language Models. CoRR abs/2006.15319 (2020) - [i25]Hung Le, Shay Solomon:
Light Euclidean Spanners with Steiner Points. CoRR abs/2007.11636 (2020) - [i24]Hung Le, Shay Solomon:
A Unified and Fine-Grained Approach for Light Spanners. CoRR abs/2008.10582 (2020) - [i23]Vincent Cohen-Addad, Arnold Filtser, Philip N. Klein, Hung Le:
On Light Spanners, Low-treewidth Embeddings and Efficient Traversing in Minor-free Graphs. CoRR abs/2009.05039 (2020) - [i22]Hung Le, Svetha Venkatesh:
Neurocoder: Learning General-Purpose Computation Using Stored Neural Programs. CoRR abs/2009.11443 (2020) - [i21]Hung Le, Doyen Sahoo, Nancy F. Chen, Steven C. H. Hoi:
BiST: Bi-directional Spatio-Temporal Reasoning for Video-Grounded Dialogues. CoRR abs/2010.10095 (2020)
2010 – 2019
- 2019
- [j4]Hung Le:
On the Existence and Instability of Solitary Water Waves with a Finite Dipole. SIAM J. Math. Anal. 51(5): 4074-4104 (2019) - [c13]Hung Le, Doyen Sahoo, Nancy F. Chen, Steven C. H. Hoi:
Multimodal Transformer Networks for End-to-End Video-Grounded Dialogue Systems. ACL (1) 2019: 5612-5623 - [c12]Hung Le, Baigong Zheng:
A Simple Local Search Gives a PTAS for the Feedback Vertex Set Problem in Minor-Free Graphs. COCOON 2019: 375-386 - [c11]Hung Le, Shay Solomon:
Truly Optimal Euclidean Spanners. FOCS 2019: 1078-1100 - [c10]Hung Le, Truyen Tran, Svetha Venkatesh:
Learning to Remember More with Less Memorization. ICLR 2019 - [c9]Doyen Sahoo, Wang Hao, Shu Ke, Xiongwei Wu, Hung Le, Palakorn Achananuparp, Ee-Peng Lim, Steven C. H. Hoi:
FoodAI: Food Image Recognition via Deep Learning for Smart Food Logging. KDD 2019: 2260-2268 - [c8]Glencora Borradaile, Hung Le, Baigong Zheng:
Engineering a PTAS for Minimum Feedback Vertex Set in Planar Graphs. SEA² 2019: 98-113 - [c7]Glencora Borradaile, Hung Le, Christian Wulff-Nilsen:
Greedy spanners are optimal in doubling metrics. SODA 2019: 2371-2379 - [i20]Hung Le, Truyen Tran, Svetha Venkatesh:
Learning to Remember More with Less Memorization. CoRR abs/1901.01347 (2019) - [i19]Hung Le, Shay Solomon:
Truly Optimal Euclidean Spanners. CoRR abs/1904.12042 (2019) - [i18]Hung Le, Truyen Tran, Svetha Venkatesh:
Neural Stored-program Memory. CoRR abs/1906.08862 (2019) - [i17]Hung Le, Doyen Sahoo, Nancy F. Chen, Steven C. H. Hoi:
Multimodal Transformer Networks for End-to-End Video-Grounded Dialogue Systems. CoRR abs/1907.01166 (2019) - [i16]Doyen Sahoo, Wang Hao, Shu Ke, Xiongwei Wu, Hung Le, Palakorn Achananuparp, Ee-Peng Lim, Steven C. H. Hoi:
FoodAI: Food Image Recognition via Deep Learning for Smart Food Logging. CoRR abs/1909.11946 (2019) - [i15]Duc Nguyen, Nhan Tran, Hung Le:
Improving Long Handwritten Text Line Recognition with Convolutional Multi-way Associative Memory. CoRR abs/1911.01577 (2019) - 2018
- [j3]Hung Le:
A Better Bound on the Largest Induced Forests in Triangle-Free Planar Graph. Graphs Comb. 34(6): 1217-1246 (2018) - [c6]Hung Le, Truyen Tran, Svetha Venkatesh:
Dual Memory Neural Computer for Asynchronous Two-view Sequential Learning. KDD 2018: 1637-1645 - [c5]Hung Le, Truyen Tran, Thin Nguyen, Svetha Venkatesh:
Variational Memory Encoder-Decoder. NeurIPS 2018: 1515-1525 - [c4]Hung Le, Truyen Tran, Svetha Venkatesh:
Dual Control Memory Augmented Neural Networks for Treatment Recommendations. PAKDD (3) 2018: 273-284 - [i14]Hung Le, Truyen Tran, Svetha Venkatesh:
Dual Memory Neural Computer for Asynchronous Two-view Sequential Learning. CoRR abs/1802.00662 (2018) - [i13]Muhammad Asjad Khan, Hung Le, Kien Do, Truyen Tran, Aditya Ghose, Khanh Hoa Dam, Renuka Sindhgatta:
Memory-Augmented Neural Networks for Predictive Process Analytics. CoRR abs/1802.00938 (2018) - [i12]Hung Le, Quang Pham, Doyen Sahoo, Steven C. H. Hoi:
URLNet: Learning a URL Representation with Deep Learning for Malicious URL Detection. CoRR abs/1802.03162 (2018) - [i11]Hung Le, Truyen Tran, Svetha Venkatesh:
Dual Control Memory Augmented Neural Networks for Treatment Recommendations. CoRR abs/1802.03689 (2018) - [i10]Hung Le:
A PTAS for subset TSP in minor-free graphs. CoRR abs/1804.01588 (2018) - [i9]Hung Le, Baigong Zheng:
Local Search is a PTAS for Feedback Vertex Set in Minor-free Graphs. CoRR abs/1804.06428 (2018) - [i8]Glencora Borradaile, Hung Le, Baigong Zheng:
Designing Practical PTASes for Minimum Feedback Vertex Set in Planar Graphs. CoRR abs/1804.07869 (2018) - [i7]Hung Le, Truyen Tran, Thin Nguyen, Svetha Venkatesh:
Variational Memory Encoder-Decoder. CoRR abs/1807.09950 (2018) - 2017
- [j2]Glencora Borradaile, Hung Le, Melissa Sherman-Bennett:
Large Induced Acyclic and Outerplanar Subgraphs of 2-Outerplanar Graph. Graphs Comb. 33(6): 1621-1634 (2017) - [c3]Glencora Borradaile, Hung Le, Christian Wulff-Nilsen:
Minor-Free Graphs Have Light Spanners. FOCS 2017: 767-778 - [i6]Glencora Borradaile, Jeff Erickson, Hung Le, Robbie Weber:
Embedded-width: A variant of treewidth for plane graphs. CoRR abs/1703.07532 (2017) - [i5]Glencora Borradaile, Hung Le:
Light spanners for bounded treewidth graphs imply light spanners for $H$-minor-free graphs. CoRR abs/1703.10633 (2017) - [i4]Hung Le, Ali Borji:
What are the Receptive, Effective Receptive, and Projective Fields of Neurons in Convolutional Neural Networks? CoRR abs/1705.07049 (2017) - [i3]Glencora Borradaile, Hung Le, Christian Wulff-Nilsen:
Minor-free graphs have light spanners. CoRR abs/1711.00821 (2017) - [i2]Glencora Borradaile, Hung Le, Christian Wulff-Nilsen:
Greedy spanners are optimal in doubling metrics. CoRR abs/1712.05007 (2017) - 2016
- [c2]Glencora Borradaile, Hung Le:
Optimal Dynamic Program for r-Domination Problems over Tree Decompositions. IPEC 2016: 8:1-8:23 - 2015
- [i1]Glencora Borradaile, Hung Le:
Optimal dynamic program for r-domination problems over tree decompositions. CoRR abs/1502.00716 (2015) - 2013
- [c1]Van-Toi Nguyen, Thuy Thi Nguyen, Rémy Mullot, Thi-Thanh-Hai Tran, Hung Le:
A method for hand detection using internal features and active boosting-based learning. SoICT 2013: 213-221
2000 – 2009
- 2005
- [j1]Marcello Balduccini, Enrico Pontelli, Omar El-Khatib, Hung Le:
Issues in parallel execution of non-monotonic reasoning systems. Parallel Comput. 31(6): 608-647 (2005)
Coauthor Index
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