Hung Le

According to our database, Hung Le authored at least 115 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Optimal Euclidean Tree Covers.

Hsien-Chih Chang, Jonathan Conroy, Hung Le, Lazar Milenkovic, Shay Solomon, Cuong Than

CoRR, 2024

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

CoRR, 2024

Variational Flow Models: Flowing in Your Style.

Kien Do, Duc Kieu, Toan Nguyen, Dang Nguyen, Hung Le, Dung Nguyen, Thin Nguyen

CoRR, 2024

Computing Diameter+2 in Truly Subquadratic Time for Unit-Disk Graphs.

Hsien-Chih Chang, Jie Gao, Hung Le

CoRR, 2024

Moonshot: Towards Controllable Video Generation and Editing with Multimodal Conditions.

David Junhao Zhang, Dongxu Li, Hung Le, Mike Zheng Shou, Caiming Xiong, Doyen Sahoo

CoRR, 2024

VC Set Systems in Minor-free (Di)Graphs and Applications.

Hung Le, Christian Wulff-Nilsen

Proceedings of the 2024 ACM-SIAM Symposium on Discrete Algorithms, 2024

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

Proceedings of the 2024 ACM-SIAM Symposium on Discrete Algorithms, 2024

2023

Balanced Q-learning: Combining the influence of optimistic and pessimistic targets.

Thommen George Karimpanal, Hung Le, Majid Abdolshah, Santu Rana, Sunil Gupta, Truyen Tran, Svetha Venkatesh

Artif. Intell., December, 2023

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

CoRR, 2023

Universal Graph Continual Learning.

Thanh Duc Hoang, Do Viet Tung, Duy-Hung Nguyen, Bao-Sinh Nguyen, Huy Hoang Nguyen, Hung Le

CoRR, 2023

LaGR-SEQ: Language-Guided Reinforcement Learning with Sample-Efficient Querying.

Thommen George Karimpanal, Buddhika Laknath Semage, Santu Rana, Hung Le, Truyen Tran, Sunil Gupta, Svetha Venkatesh

CoRR, 2023

Intrinsic Motivation via Surprise Memory.

Hung Le, Kien Do, Dung Nguyen, Svetha Venkatesh

CoRR, 2023

Resolving the Steiner Point Removal Problem in Planar Graphs via Shortcut Partitions.

Hsien-Chih Chang, Jonathan Conroy, Hung Le, Lazar Milenkovic, Shay Solomon, Cuong Than

CoRR, 2023

CodeTF: One-stop Transformer Library for State-of-the-art Code LLM.

Nghi D. Q. Bui, Hung Le, Yue Wang, Junnan Li, Akhilesh Deepak Gotmare, Steven C. H. Hoi

CoRR, 2023

CodeT5+: Open Code Large Language Models for Code Understanding and Generation.

Yue Wang, Hung Le, Akhilesh Deepak Gotmare, Nghi D. Q. Bui, Junnan Li, Steven C. H. Hoi

CoRR, 2023

When Giant Language Brains Just Aren't Enough! Domain Pizzazz with Knowledge Sparkle Dust.

Minh-Tien Nguyen, Duy-Hung Nguyen, Shahab Sabahi, Hung Le, Jeff Yang, Hajime Hotta

CoRR, 2023

BO-Muse: A human expert and AI teaming framework for accelerated experimental design.

Sunil Gupta, Alistair Shilton, Arun Kumar A. V., Shannon Ryan, Majid Abdolshah, Hung Le, Santu Rana, Julian Berk, Mahad Rashid, Svetha Venkatesh

CoRR, 2023

A Unified Framework for Light Spanners.

Hung Le, Shay Solomon

Proceedings of the 55th Annual ACM Symposium on Theory of Computing, 2023

Approximate Distance Oracles for Planar Graphs with Subpolynomial Error Dependency.

Hung Le

Proceedings of the 2023 ACM-SIAM Symposium on Discrete Algorithms, 2023

C3: Compositional Counterfactual Contrastive Learning for Video-grounded Dialogues.

Hung Le, Nancy F. Chen, Steven C. H. Hoi

Proceedings of the 24th Meeting of the Special Interest Group on Discourse and Dialogue, 2023

Constructing a Closed-Domain Question Answering System with Generative Language Models.

Hung Le, Le Minh Nguyen, Jiaying Ni, Shogo Okada

Proceedings of the 15th International Conference on Knowledge and Systems Engineering, 2023

Social Motivation for Modelling Other Agents under Partial Observability in Decentralised Training.

Dung Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Improving Out-of-distribution Generalization with Indirection Representations.

Kha Pham, Hung Le, Man Ngo, Truyen Tran

Proceedings of the Eleventh International Conference on Learning Representations, 2023

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

Proceedings of the Social Computing and Social Media, 2023

Optimal Fault-Tolerant Spanners in Euclidean and Doubling Metrics: Breaking the Ω (log n) Lightness Barrier.

Hung Le, Shay Solomon, Cuong Than

Proceedings of the 64th IEEE Annual Symposium on Foundations of Computer Science, 2023

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

Proceedings of the 64th IEEE Annual Symposium on Foundations of Computer Science, 2023

Covering Planar Metrics (and Beyond): O(1) Trees Suffice.

Hsien-Chih Chang, Jonathan Conroy, Hung Le, Lazar Milenkovic, Shay Solomon, Cuong Than

Proceedings of the 64th IEEE Annual Symposium on Foundations of Computer Science, 2023

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

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Sparse Euclidean Spanners with Optimal Diameter: A General and Robust Lower Bound via a Concave Inverse-Ackermann Function.

Hung Le, Lazar Milenkovic, Shay Solomon

Proceedings of the 39th International Symposium on Computational Geometry, 2023

LAVIS: A One-stop Library for Language-Vision Intelligence.

Dongxu Li, Junnan Li, Hung Le, Guangsen Wang, Silvio Savarese, Steven C. H. Hoi

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2023

Memory-Augmented Theory of Mind Network.

Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Building a knowledge graph by using cross-lingual transfer method and distributed MinIE algorithm on apache spark.

Phuc Do, Trung Phan, Hung Le, Brij B. Gupta

Neural Comput. Appl., 2022

Using BERT and Knowledge Graph for detecting triples in Vietnamese text.

Phuc Do, Hung Le, An B. Pham, Cuong H. Nguyen

Neural Comput. Appl., 2022

Learning to Generate Questions by Enhancing Text Generation with Sentence Selection.

Do Hoang Thai Duong, Nguyen Hong Son, Hung Le, Minh-Tien Nguyen

CoRR, 2022

Tuning the Tail Latency of Distributed Queries Using Replication.

Nathan Ng, Hung Le, Marco Serafini

CoRR, 2022

LAVIS: A Library for Language-Vision Intelligence.

Dongxu Li, Junnan Li, Hung Le, Guangsen Wang, Silvio Savarese, Steven C. H. Hoi

CoRR, 2022

HYCEDIS: HYbrid Confidence Engine for Deep Document Intelligence System.

Bao-Sinh Nguyen, Quang-Bach Tran, Tuan Anh Nguyen Dang, Duc Nguyen, Hung Le

CoRR, 2022

OmniXAI: A Library for Explainable AI.

Wenzhuo Yang, Hung Le, Silvio Savarese, Steven C. H. Hoi

CoRR, 2022

Memory-Constrained Policy Optimization.

Hung Le, Thommen George Karimpanal, Majid Abdolshah, Dung Nguyen, Kien Do, Sunil Gupta, Svetha Venkatesh

CoRR, 2022

Locality-sensitive orderings and applications to reliable spanners.

Arnold Filtser, Hung Le

Proceedings of the STOC '22: 54th Annual ACM SIGACT Symposium on Theory of Computing, Rome, Italy, June 20, 2022

Greedy Spanners in Euclidean Spaces Admit Sublinear Separators.

Hung Le, Cuong Than

Proceedings of the 2022 ACM-SIAM Symposium on Discrete Algorithms, 2022

Near-Optimal Spanners for General Graphs in (Nearly) Linear Time.

Hung Le, Shay Solomon

Proceedings of the 2022 ACM-SIAM Symposium on Discrete Algorithms, 2022

Can't See the Forest for the Trees: Navigating Metric Spaces by Bounded Hop-Diameter Spanners.

Omri Kahalon, Hung Le, Lazar Milenkovic, Shay Solomon

Proceedings of the PODC '22: ACM Symposium on Principles of Distributed Computing, Salerno, Italy, July 25, 2022

Functional Indirection Neural Estimator for Better Out-of-distribution Generalization.

Kha Pham, Hung Le, Man Ngo, Truyen Tran

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning.

Hung Le, Yue Wang, Akhilesh Deepak Gotmare, Silvio Savarese, Steven Chu-Hong Hoi

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation.

Kien Do, Hung Le, Dung Nguyen, Dang Nguyen, Haripriya Harikumar, Truyen Tran, Santu Rana, Svetha Venkatesh

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

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

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Multimodal Dialogue State Tracking.

Hung Le, Nancy F. Chen, Steven C. H. Hoi

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

VGNMN: Video-grounded Neural Module Networks for Video-Grounded Dialogue Systems.

Hung Le, Nancy F. Chen, Steven C. H. Hoi

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Dynamic Matching Algorithms Under Vertex Updates.

Hung Le, Lazar Milenkovic, Shay Solomon, Virginia Vassilevska Williams

Proceedings of the 13th Innovations in Theoretical Computer Science Conference, 2022

HYCEDIS: HYbrid Confidence Engine for Deep Document Intelligence System.

Bao-Sinh Nguyen, Quang-Bach Tran, Tuan-Anh D. Nguyen, Hung Le

Proceedings of the Neural Information Processing - 29th International Conference, 2022

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

Proceedings of the Neural Information Processing - 29th International Conference, 2022

Neurocoder: General-Purpose Computation Using Stored Neural Programs.

Hung Le, Svetha Venkatesh

Proceedings of the International Conference on Machine Learning, 2022

Generative Pseudo-Inverse Memory.

Kha Pham, Hung Le, Man Ngo, Truyen Tran, Bao Ho, Svetha Venkatesh

Proceedings of the Tenth International Conference on Learning Representations, 2022

Low Treewidth Embeddings of Planar and Minor-Free Metrics.

Arnold Filtser, Hung Le

Proceedings of the 63rd IEEE Annual Symposium on Foundations of Computer Science, 2022

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

Proceedings of the Computer Vision - ECCV 2022, 2022

Sparse Euclidean Spanners with Tiny Diameter: A Tight Lower Bound.

Hung Le, Lazar Milenkovic, Shay Solomon

Proceedings of the 38th International Symposium on Computational Geometry, 2022

Learning Theory of Mind via Dynamic Traits Attribution.

Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

Episodic Policy Gradient Training.

Hung Le, Majid Abdolshah, Thommen George Karimpanal, Kien Do, Dung Nguyen, Svetha Venkatesh

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

A Unified Framework of Light Spanners II: Fine-Grained Optimality.

Hung Le, Shay Solomon

CoRR, 2021

Plug and Play, Model-Based Reinforcement Learning.

Majid Abdolshah, Hung Le, Thommen George Karimpanal, Sunil Gupta, Santu Rana, Svetha Venkatesh

CoRR, 2021

Memory and attention in deep learning.

Hung Le

CoRR, 2021

Towards a Unified Theory of Light Spanners I: Fast (Yet Optimal) Constructions.

Hung Le, Shay Solomon

CoRR, 2021

C³: Compositional Counterfactual Constrastive Learning for Video-grounded Dialogues.

Hung Le, Nancy F. Chen, Steven C. H. Hoi

CoRR, 2021

VGNMN: Video-grounded Neural Module Network to Video-Grounded Language Tasks.

Hung Le, Nancy F. Chen, Steven C. H. Hoi

CoRR, 2021

Reliable Spanners: Locality-Sensitive Orderings Strike Back.

Arnold Filtser, Hung Le

CoRR, 2021

Clan embeddings into trees, and low treewidth graphs.

Arnold Filtser, Hung Le

Proceedings of the STOC '21: 53rd Annual ACM SIGACT Symposium on Theory of Computing, 2021

MC-OCR Challenge 2021: An end-to-end recognition framework for Vietnamese Receipts.

Hung Le, Huy To, Hung An, Khanh Ho, Khoa Nguyen, Thua Nguyen, Tien Do, Thanh Duc Ngo, Duy-Dinh Le

Proceedings of the RIVF International Conference on Computing and Communication Technologies, 2021

Model-Based Episodic Memory Induces Dynamic Hybrid Controls.

Hung Le, Thommen George Karimpanal, Majid Abdolshah, Truyen Tran, Svetha Venkatesh

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

From Deep Learning to Deep Reasoning.

Truyen Tran, Vuong Le, Hung Le, Thao Minh Le

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

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

Proceedings of the Service-Oriented Computing - 19th International Conference, 2021

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

Proceedings of the Neural Information Processing - 28th International Conference, 2021

A New Representation of Successor Features for Transfer across Dissimilar Environments.

Majid Abdolshah, Hung Le, Thommen George Karimpanal, Sunil Gupta, Santu Rana, Svetha Venkatesh

Proceedings of the 38th International Conference on Machine Learning, 2021

Learning Reasoning Paths over Semantic Graphs for Video-grounded Dialogues.

Hung Le, Nancy F. Chen, Steven C. H. Hoi

Proceedings of the 9th International Conference on Learning Representations, 2021

Optimal Approximate Distance Oracle for Planar Graphs.

Hung Le, Christian Wulff-Nilsen

Proceedings of the 62nd IEEE Annual Symposium on Foundations of Computer Science, 2021

DVD: A Diagnostic Dataset for Multi-step Reasoning in Video Grounded Dialogue.

Hung Le, Chinnadhurai Sankar, Seungwhan Moon, Ahmad Beirami, Alborz Geramifard, Satwik Kottur

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Local search is a PTAS for feedback vertex set in minor-free graphs.

Hung Le, Baigong Zheng

Theor. Comput. Sci., 2020

Hierarchical multimodal attention for end-to-end audio-visual scene-aware dialogue response generation.

Hung Le, Doyen Sahoo, Nancy F. Chen, Steven C. H. Hoi

Comput. Speech Lang., 2020

Neurocoder: Learning General-Purpose Computation Using Stored Neural Programs.

Hung Le, Svetha Venkatesh

CoRR, 2020

A Unified and Fine-Grained Approach for Light Spanners.

Hung Le, Shay Solomon

CoRR, 2020

Multimodal Transformer with Pointer Network for the DSTC8 AVSD Challenge.

Hung Le, Nancy F. Chen

CoRR, 2020

A PTAS for subset TSP in minor-free graphs.

Hung Le

Proceedings of the 2020 ACM-SIAM Symposium on Discrete Algorithms, 2020

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

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Self-Attentive Associative Memory.

Hung Le, Truyen Tran, Svetha Venkatesh

Proceedings of the 37th International Conference on Machine Learning, 2020

Non-Autoregressive Dialog State Tracking.

Hung Le, Richard Socher, Steven C. H. Hoi

Proceedings of the 8th International Conference on Learning Representations, 2020

Neural Stored-program Memory.

Hung Le, Truyen Tran, Svetha Venkatesh

Proceedings of the 8th International Conference on Learning Representations, 2020

On Light Spanners, Low-treewidth Embeddings and Efficient Traversing in Minor-free Graphs.

Vincent Cohen-Addad, Arnold Filtser, Philip N. Klein, Hung Le

Proceedings of the 61st IEEE Annual Symposium on Foundations of Computer Science, 2020

Light Euclidean Spanners with Steiner Points.

Hung Le, Shay Solomon

Proceedings of the 28th Annual European Symposium on Algorithms, 2020

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

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

BiST: Bi-directional Spatio-Temporal Reasoning for Video-Grounded Dialogues.

Hung Le, Doyen Sahoo, Nancy F. Chen, Steven C. H. Hoi

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Video-Grounded Dialogues with Pretrained Generation Language Models.

Hung Le, Steven C. H. Hoi

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

On the Existence and Instability of Solitary Water Waves with a Finite Dipole.

Hung Le

SIAM J. Math. Anal., 2019

Improving Long Handwritten Text Line Recognition with Convolutional Multi-way Associative Memory.

Duc Nguyen, Nhan Tran, Hung Le

CoRR, 2019

Greedy spanners are optimal in doubling metrics.

Glencora Borradaile, Hung Le, Christian Wulff-Nilsen

Proceedings of the Thirtieth Annual ACM-SIAM Symposium on Discrete Algorithms, 2019

Engineering a PTAS for Minimum Feedback Vertex Set in Planar Graphs.

Glencora Borradaile, Hung Le, Baigong Zheng

Proceedings of the Analysis of Experimental Algorithms - Special Event, 2019

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

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Learning to Remember More with Less Memorization.

Hung Le, Truyen Tran, Svetha Venkatesh

Proceedings of the 7th International Conference on Learning Representations, 2019

Truly Optimal Euclidean Spanners.

Hung Le, Shay Solomon

Proceedings of the 60th IEEE Annual Symposium on Foundations of Computer Science, 2019

A Simple Local Search Gives a PTAS for the Feedback Vertex Set Problem in Minor-Free Graphs.

Hung Le, Baigong Zheng

Proceedings of the Computing and Combinatorics - 25th International Conference, 2019

Multimodal Transformer Networks for End-to-End Video-Grounded Dialogue Systems.

Hung Le, Doyen Sahoo, Nancy F. Chen, Steven C. H. Hoi

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

A Better Bound on the Largest Induced Forests in Triangle-Free Planar Graph.

Hung Le

Graphs Comb., 2018

Designing Practical PTASes for Minimum Feedback Vertex Set in Planar Graphs.

Glencora Borradaile, Hung Le, Baigong Zheng

CoRR, 2018

URLNet: Learning a URL Representation with Deep Learning for Malicious URL Detection.

Hung Le, Quang Pham, Doyen Sahoo, Steven C. H. Hoi

CoRR, 2018

Memory-Augmented Neural Networks for Predictive Process Analytics.

Muhammad Asjad Khan, Hung Le, Kien Do, Truyen Tran, Aditya Ghose, Khanh Hoa Dam, Renuka Sindhgatta

CoRR, 2018

Dual Control Memory Augmented Neural Networks for Treatment Recommendations.

Hung Le, Truyen Tran, Svetha Venkatesh

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Variational Memory Encoder-Decoder.

Hung Le, Truyen Tran, Thin Nguyen, Svetha Venkatesh

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Dual Memory Neural Computer for Asynchronous Two-view Sequential Learning.

Hung Le, Truyen Tran, Svetha Venkatesh

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017

Large Induced Acyclic and Outerplanar Subgraphs of 2-Outerplanar Graph.

Glencora Borradaile, Hung Le, Melissa Sherman-Bennett

Graphs Comb., 2017

What are the Receptive, Effective Receptive, and Projective Fields of Neurons in Convolutional Neural Networks?

Hung Le, Ali Borji

CoRR, 2017

Light spanners for bounded treewidth graphs imply light spanners for $H$-minor-free graphs.

Glencora Borradaile, Hung Le

CoRR, 2017

Embedded-width: A variant of treewidth for plane graphs.

Glencora Borradaile, Jeff Erickson, Hung Le, Robbie Weber

CoRR, 2017

Minor-Free Graphs Have Light Spanners.

Glencora Borradaile, Hung Le, Christian Wulff-Nilsen

Proceedings of the 58th IEEE Annual Symposium on Foundations of Computer Science, 2017

2016

Optimal Dynamic Program for r-Domination Problems over Tree Decompositions.

Glencora Borradaile, Hung Le

Proceedings of the 11th International Symposium on Parameterized and Exact Computation, 2016

2013

A method for hand detection using internal features and active boosting-based learning.

Van-Toi Nguyen, Thuy Thi Nguyen, Rémy Mullot, Thi-Thanh-Hai Tran, Hung Le

Proceedings of the 4th International Symposium on Information and Communication Technology, 2013

2005

Issues in parallel execution of non-monotonic reasoning systems.

Marcello Balduccini, Enrico Pontelli, Omar El-Khatib, Hung Le

Parallel Comput., 2005