Hung Le 个人学术档案 - 学术资源搜索

引用次数

	总计	2019 年至今
引用	517	510
h 指数	13	13
i10 指数	15	15

140

105

20182019202020212022202320247 35 42 73 110 129 121

开放获取的出版物数量

查看全部

8 篇文章

0 篇文章

可查看的文章

无法查看的文章

根据资助方的强制性开放获取政策

合著作者

Svetha VenkateshAlfred Deakin Professor, Deakin University在 deakin.edu.au 的电子邮件经过验证
Truyen TranProfessor | Head of AI, Health and Science @ Deakin University在 deakin.edu.au 的电子邮件经过验证
Kien DoApplied Artificial Intelligence Institute (A2I2), Deakin University在 deakin.edu.au 的电子邮件经过验证
Santu RanaAssociate Professor of Computer Science, Deakin University在 deakin.edu.au 的电子邮件经过验证
Majid AbdolshahMachine Learning Scientist @ Amazon在 amazon.com 的电子邮件经过验证
Thommen George KarimpanalLecturer (Assistant Professor), Deakin University在 deakin.edu.au 的电子邮件经过验证
Sunil GuptaProfessor, Head of AI Optimization and Materials Discovery, Deakin University在 deakin.edu.au 的电子邮件经过验证
Minh-Tien NguyenAssoc. Prof., Hung Yen University of Technology and Education (UTEHY), Vietnam在 utehy.edu.vn 的电子邮件经过验证
Renuka SindhgattaIBM Research在 ibm.com 的电子邮件经过验证
Aditya GhoseProfessor of Computer Science, University of Wollongong在 uow.edu.au 的电子邮件经过验证
Hoa Khanh DamProfessor in Software Engineering, University of Wollongong在 uow.edu.au 的电子邮件经过验证
Asjad KhanUniversity of Wollongong在 uowmail.edu.au 的电子邮件经过验证
Thin NguyenSenior Research Lecturer, Deakin University, Australia在 deakin.edu.au 的电子邮件经过验证
HARIPRIYA HARIKUMARPostdoctoral Research Fellow, Applied Artificial Intelligence Institute, Deakin University在 deakin.edu.au 的电子邮件经过验证
Dang Nguyen, PhDApplied Artificial Intelligence Institute (A2I2), Deakin University, Australia在 deakin.edu.au 的电子邮件经过验证
Phuoc NguyenResearch Lecturer, A2I2, Deakin University在 deakin.edu.au 的电子邮件经过验证
Kha PhamPhD student, Deakin University在 deakin.edu.au 的电子邮件经过验证
Man M. NgoVNUHCM-University of Science在 hcmus.edu.vn 的电子邮件经过验证
Shannon RyanDeakin University在 deakin.edu.au 的电子邮件经过验证
Vuong LeDeakin University在 deakin.edu.au 的电子邮件经过验证

关注

Hung Le

其他姓名Lê Thái Hưng

Research Lecturer (Assistant Professor), Deakin University

在 deakin.edu.au 的电子邮件经过验证 - 首页

Deep Learning Memory Networks Reinforcement Learning


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Dual Memory Neural Computer for Asynchronous Two-view Sequential Learning H Le, T Tran, S Venkatesh ACM SIGKDD International Conference on Knowledge Discovery & Data Mining …, 2018	107	2018
Self-Attentive Associative Memory H Le, T Tran, S Venkatesh International Conference on Machine Learning, 2020	59	2020
Variational memory encoder-decoder H Le, T Tran, T Nguyen, S Venkatesh Neural Information Processing Systems, 2018	40	2018
Learning to Remember More with Less Memorization H Le, T Tran, S Venkatesh International Conference on Learning Representations, 2019	39	2019
Memory-augmented neural networks for predictive process analytics A Khan, H Le, K Do, T Tran, A Ghose, H Dam, R Sindhgatta arXiv preprint arXiv:1802.00938 13, 2018	35	2018
Neural Stored-program Memory H Le, T Tran, S Venkatesh International Conference on Learning Representations, 2020	33	2020
A new representation of successor features for transfer across dissimilar environments M Abdolshah, H Le, TK George, S Gupta, S Rana, S Venkatesh International Conference on Machine Learning, 2021	20	2021
Robust Deep Reinforcement Learning for Extractive Legal Summarization DH Nguyen, BS Nguyen, NVD Nghiem, DT Le, MA Khatun, MT Nguyen, ... International Conference on Neural Information Processing, 2021	17	2021
Model-Based Episodic Memory Induces Dynamic Hybrid Controls H Le, TK George, M Abdolshah, T Tran, S Venkates Neural Information Processing Systems, 2021	16	2021
Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation K Do, H Le, D Nguyen, D Nguyen, H Harikumar, T Tran, S Rana, ... Neural Information Processing Systems, 2022	15	2022
Dual control memory augmented neural networks for treatment recommendations H Le, T Tran, S Venkatesh Advances in Knowledge Discovery and Data Mining: 22nd Pacific-Asia …, 2018	15	2018
Neurocoder: General-Purpose Computation Using Stored Neural Programs H Le, S Venkatesh International Conference on Machine Learning, 2022	13*	2022
DeepProcess: Supporting Business Process Execution Using a MANN-Based Recommender System A Khan, H Le, K Do, T Tran, A Ghose, H Dam, R Sindhgatta International Conference on Service-Oriented Computing, 2021	13	2021
Learning Theory of Mind via Dynamic Traits Attribution D Nguyen, P Nguyen, H Le, K Do, S Venkatesh, T Tran International Conference on Autonomous Agents and Multiagent Systems, 2022	11	2022
Memory-Augmented Theory of Mind Network D Nguyen, P Nguyen, H Le, K Do, S Venkatesh, T Tran AAAI Conference on Artificial Intelligence, 2023	10	2023
Make The Most of Prior Data: A Solution for Interactive Text Summarization with Preference Feedback DH Nguyen, NVD Nghiem, BS Nguyen, DT Le, S Sabahi, MT Nguyen, ... Computational Linguistics and Natural Language Processing-Findings, 2022	9	2022
Balanced q-learning: Combining the influence of optimistic and pessimistic targets TG Karimpanal, H Le, M Abdolshah, S Rana, S Gupta, T Tran, ... Artificial Intelligence, 2023	6	2023
From deep learning to deep reasoning T Tran, V Le, H Le, TM Le ACM SIGKDD International Conference on Knowledge Discovery & Data Mining …, 2021	6	2021
Episodic Policy Gradient Training H Le, M Abdolshah, TK George, K Do, D Nguyen, S Venkatesh AAAI Conference on Artificial Intelligence, 2022	5	2022
Improving long handwritten text line recognition with convolutional multi-way associative memory D Nguyen, N Tran, H Le arXiv preprint arXiv:1911.01577, 2019	5	2019

系统目前无法执行此操作，请稍后再试。

文章 1–20

每年引用数

重复的引用

合并的引用

添加合著者合著作者

上传 PDF

关注此作者

引用次数

合著作者

引用