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Hung Le
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Other persons with the same name
- Hung Le 0001 — University of Massachusetts Amherst, MA, USA
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2020 – today
- 2024
- [c53]Hung Le, Kien Do, Dung Nguyen, Svetha Venkatesh:
Beyond Surprise: Improving Exploration Through Surprise Novelty. AAMAS 2024: 1084-1092 - [c52]Weikun Deng, Khanh T. P. Nguyen, Christian Gogu, Kamal Mejaher, Jérôme Morio, Hung Le, Dazhong Wu:
A Novel PIML Architecture with Innovative Learning Paradigm Applied in Battery Prognostics. CoDIT 2024: 248-253 - [c51]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. ECAI 2024: 3120-3127 - [c50]Dai Do, Quan Tran, Svetha Venkatesh, Hung Le:
Large Language Model Prompting with Episodic Memory. ECAI 2024: 3891-3898 - [c49]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 - [c48]Dung Nguyen, Hung Le, Kien Do, Sunil Gupta, Svetha Venkatesh, Truyen Tran:
Diversifying Training Pool Predictability for Zero-shot Coordination: A Theory of Mind Approach. IJCAI 2024: 166-174 - [c47]Hung Le, Hieu Pham:
Learning to Estimate Critical Gait Parameters from Single-View RGB Videos with Transformer-Based Attention Network. ISBI 2024: 1-5 - [c46]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. ISSTA 2024: 704-716 - [c45]Minh Hoang Nguyen, Hung Le, Svetha Venkatesh:
Variable-Agnostic Causal Exploration for Reinforcement Learning. ECML/PKDD (2) 2024: 216-232 - [i68]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) - [i67]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) - [i66]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) - [i65]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 abs/2404.02717 (2024) - [i64]Hung Le, Dung Nguyen, Kien Do, Svetha Venkatesh, Truyen Tran:
Enhancing Length Extrapolation in Sequential Models with Pointer-Augmented Neural Memory. CoRR abs/2404.11870 (2024) - [i63]Hung Le, Quan Tran, Dung Nguyen, Kien Do, Saloni Mittal, Kelechi Ogueji, Svetha Venkatesh:
Multi-Reference Preference Optimization for Large Language Models. CoRR abs/2405.16388 (2024) - [i62]Giang Do, Hung Le, Truyen Tran:
SimSMoE: Solving Representational Collapse via Similarity Measure. CoRR abs/2406.15883 (2024) - [i61]Hung Le, Yingbo Zhou, Caiming Xiong, Silvio Savarese, Doyen Sahoo:
INDICT: Code Generation with Internal Dialogues of Critiques for Both Security and Helpfulness. CoRR abs/2407.02518 (2024) - [i60]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 abs/2407.06826 (2024) - [i59]Minh Hoang Nguyen, Hung Le, Svetha Venkatesh:
Variable-Agnostic Causal Exploration for Reinforcement Learning. CoRR abs/2407.12437 (2024) - [i58]Dai Do, Quan Tran, Svetha Venkatesh, Hung Le:
Large Language Models Prompting With Episodic Memory. CoRR abs/2408.07465 (2024) - [i57]Bao Duong, Hung Le, Thin Nguyen:
ALIAS: DAG Learning with Efficient Unconstrained Policies. CoRR abs/2408.13448 (2024) - [i56]An La, Hung Le:
Dynamic Locality Sensitive Orderings in Doubling Metrics. CoRR abs/2408.14617 (2024) - [i55]An La, Hung Le:
New weighted additive spanners. CoRR abs/2408.14638 (2024) - 2023
- [j7]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) - [j6]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) - [c44]Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran:
Memory-Augmented Theory of Mind Network. AAAI 2023: 11630-11637 - [c43]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 - [c42]Ragja Palakkadavath, Thanh Nguyen-Tang, Hung Le, Svetha Venkatesh, Sunil Gupta:
Domain Generalization with Interpolation Robustness. ACML 2023: 1039-1054 - [c41]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 - [c40]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 - [c39]Kha Pham, Hung Le, Man Ngo, Truyen Tran:
Improving Out-of-distribution Generalization with Indirection Representations. ICLR 2023 - [c38]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 - [c37]Hung Le, Le Minh Nguyen, Jiaying Ni, Shogo Okada:
Constructing a Closed-Domain Question Answering System with Generative Language Models. KSE 2023: 1-6 - [c36]Hung Le, Nancy F. Chen, Steven C. H. Hoi:
C3: Compositional Counterfactual Contrastive Learning for Video-grounded Dialogues. SIGDIAL 2023: 548-561 - [i54]Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran:
Memory-Augmented Theory of Mind Network. CoRR abs/2301.06926 (2023) - [i53]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) - [i52]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) - [i51]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) - [i50]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) - [i49]Hung Le, Kien Do, Dung Nguyen, Svetha Venkatesh:
Intrinsic Motivation via Surprise Memory. CoRR abs/2308.04836 (2023) - [i48]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) - [i47]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) - [i46]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
- [j5]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) - [j4]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) - [c35]Hung Le, Majid Abdolshah, Thommen George Karimpanal, Kien Do, Dung Nguyen, Svetha Venkatesh:
Episodic Policy Gradient Training. AAAI 2022: 7317-7325 - [c34]Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran:
Learning Theory of Mind via Dynamic Traits Attribution. AAMAS 2022: 954-962 - [c33]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 - [c32]Kha Pham, Hung Le, Man Ngo, Truyen Tran, Bao Ho, Svetha Venkatesh:
Generative Pseudo-Inverse Memory. ICLR 2022 - [c31]Hung Le, Svetha Venkatesh:
Neurocoder: General-Purpose Computation Using Stored Neural Programs. ICML 2022: 12204-12221 - [c30]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 - [c29]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 - [c28]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 - [c27]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 - [c26]Hung Le, Nancy F. Chen, Steven C. H. Hoi:
Multimodal Dialogue State Tracking. NAACL-HLT 2022: 3394-3415 - [c25]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 - [c24]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 - [c23]Kha Pham, Hung Le, Man Ngo, Truyen Tran:
Functional Indirection Neural Estimator for Better Out-of-distribution Generalization. NeurIPS 2022 - [i45]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) - [i44]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) - [i43]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) - [i42]Hung Le, Thommen George Karimpanal, Majid Abdolshah, Dung Nguyen, Kien Do, Sunil Gupta, Svetha Venkatesh:
Memory-Constrained Policy Optimization. CoRR abs/2204.09315 (2022) - [i41]Wenzhuo Yang, Hung Le, Silvio Savarese, Steven C. H. Hoi:
OmniXAI: A Library for Explainable AI. CoRR abs/2206.01612 (2022) - [i40]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) - [i39]Hung Le, Nancy F. Chen, Steven C. H. Hoi:
Multimodal Dialogue State Tracking. CoRR abs/2206.07898 (2022) - [i38]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) - [i37]Hung Le:
Approximate Distance Oracles for Planar Graphs with Subpolynomial Error Dependency. CoRR abs/2207.05659 (2022) - [i36]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) - [i35]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) - [i34]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) - [i33]Kha Pham, Hung Le, Man Ngo, Truyen Tran:
Functional Indirection Neural Estimator for Better Out-of-distribution Generalization. CoRR abs/2210.12739 (2022) - [i32]Nathan Ng, Hung Le, Marco Serafini:
Tuning the Tail Latency of Distributed Queries Using Replication. CoRR abs/2212.10387 (2022) - [i31]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
- [c22]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 - [c21]Hung Le, Nancy F. Chen, Steven C. H. Hoi:
Learning Reasoning Paths over Semantic Graphs for Video-grounded Dialogues. ICLR 2021 - [c20]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 - [c19]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 - [c18]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 - [c17]Truyen Tran, Vuong Le, Hung Le, Thao Minh Le:
From Deep Learning to Deep Reasoning. KDD 2021: 4076-4077 - [c16]Hung Le, Thommen George Karimpanal, Majid Abdolshah, Truyen Tran, Svetha Venkatesh:
Model-Based Episodic Memory Induces Dynamic Hybrid Controls. NeurIPS 2021: 30313-30325 - [c15]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 - [i30]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) - [i29]Hung Le, Nancy F. Chen, Steven C. H. Hoi:
Learning Reasoning Paths over Semantic Graphs for Video-grounded Dialogues. CoRR abs/2103.00820 (2021) - [i28]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) - [i27]Hung Le, Nancy F. Chen, Steven C. H. Hoi:
C3: Compositional Counterfactual Constrastive Learning for Video-grounded Dialogues. CoRR abs/2106.08914 (2021) - [i26]Hung Le:
Memory and attention in deep learning. CoRR abs/2107.01390 (2021) - [i25]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) - [i24]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) - [i23]Hung Le, Thommen George Karimpanal, Majid Abdolshah, Truyen Tran, Svetha Venkatesh:
Model-Based Episodic Memory Induces Dynamic Hybrid Controls. CoRR abs/2111.02104 (2021) - [i22]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) - [i21]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) - [i20]Hung Le, Majid Abdolshah, Thommen George Karimpanal, Kien Do, Dung Nguyen, Svetha Venkatesh:
Episodic Policy Gradient Training. CoRR abs/2112.01853 (2021) - 2020
- [j3]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) - [c14]Hung Le, Steven C. H. Hoi:
Video-Grounded Dialogues with Pretrained Generation Language Models. ACL 2020: 5842-5848 - [c13]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 - [c12]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 - [c11]Hung Le, Truyen Tran, Svetha Venkatesh:
Neural Stored-program Memory. ICLR 2020 - [c10]Hung Le, Richard Socher, Steven C. H. Hoi:
Non-Autoregressive Dialog State Tracking. ICLR 2020 - [c9]Hung Le, Truyen Tran, Svetha Venkatesh:
Self-Attentive Associative Memory. ICML 2020: 5682-5691 - [c8]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 - [i19]Hung Le, Truyen Tran, Svetha Venkatesh:
Self-Attentive Associative Memory. CoRR abs/2002.03519 (2020) - [i18]Hung Le, Richard Socher, Steven C. H. Hoi:
Non-Autoregressive Dialog State Tracking. CoRR abs/2002.08024 (2020) - [i17]Hung Le, Nancy F. Chen:
Multimodal Transformer with Pointer Network for the DSTC8 AVSD Challenge. CoRR abs/2002.10695 (2020) - [i16]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) - [i15]Hung Le, Steven C. H. Hoi:
Video-Grounded Dialogues with Pretrained Generation Language Models. CoRR abs/2006.15319 (2020) - [i14]Hung Le, Svetha Venkatesh:
Neurocoder: Learning General-Purpose Computation Using Stored Neural Programs. CoRR abs/2009.11443 (2020) - [i13]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
- [j2]Hung Le:
On the Existence and Instability of Solitary Water Waves with a Finite Dipole. SIAM J. Math. Anal. 51(5): 4074-4104 (2019) - [c7]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 - [c6]Hung Le, Truyen Tran, Svetha Venkatesh:
Learning to Remember More with Less Memorization. ICLR 2019 - [c5]Doyen Sahoo, Hao Wang, 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 - [i12]Hung Le, Truyen Tran, Svetha Venkatesh:
Learning to Remember More with Less Memorization. CoRR abs/1901.01347 (2019) - [i11]Hung Le, Truyen Tran, Svetha Venkatesh:
Neural Stored-program Memory. CoRR abs/1906.08862 (2019) - [i10]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) - [i9]Doyen Sahoo, Hao Wang, 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) - [i8]Duc Nguyen, Nhan Tran, Hung Le:
Improving Long Handwritten Text Line Recognition with Convolutional Multi-way Associative Memory. CoRR abs/1911.01577 (2019) - 2018
- [c4]Hung Le, Truyen Tran, Svetha Venkatesh:
Dual Memory Neural Computer for Asynchronous Two-view Sequential Learning. KDD 2018: 1637-1645 - [c3]Hung Le, Truyen Tran, Thin Nguyen, Svetha Venkatesh:
Variational Memory Encoder-Decoder. NeurIPS 2018: 1515-1525 - [c2]Hung Le, Truyen Tran, Svetha Venkatesh:
Dual Control Memory Augmented Neural Networks for Treatment Recommendations. PAKDD (3) 2018: 273-284 - [i7]Hung Le, Truyen Tran, Svetha Venkatesh:
Dual Memory Neural Computer for Asynchronous Two-view Sequential Learning. CoRR abs/1802.00662 (2018) - [i6]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) - [i5]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) - [i4]Hung Le, Truyen Tran, Svetha Venkatesh:
Dual Control Memory Augmented Neural Networks for Treatment Recommendations. CoRR abs/1802.03689 (2018) - [i3]Hung Le:
A PTAS for subset TSP in minor-free graphs. CoRR abs/1804.01588 (2018) - [i2]Hung Le, Truyen Tran, Thin Nguyen, Svetha Venkatesh:
Variational Memory Encoder-Decoder. CoRR abs/1807.09950 (2018) - 2017
- [i1]Hung Le, Ali Borji:
What are the Receptive, Effective Receptive, and Projective Fields of Neurons in Convolutional Neural Networks? CoRR abs/1705.07049 (2017) - 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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For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
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load references from crossref.org and opencitations.net
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Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
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OpenAlex data
Load additional information about publications from .
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last updated on 2024-11-14 00:51 CET by the dblp team
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