Dr Hung Le

STAFF PROFILE

Position

Research Lecturer

Faculty

Applied Artificial Intel Inst

Department

A2I2P

Campus

Geelong Waurn Ponds Campus

Contact

thai.le@deakin.edu.au
+61 3 524 79383, 91071

Publications

Filter by

2021

A New Representation of Successor Features for Transfer across Dissimilar Environments

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

(2021), Vol. 139, pp. 1-14, ICML 2021 : Proceedings of the International Conference of Machine Learning, Virtual Conference, E1

conference

LODENet: A Holistic Approach to Offline Handwritten Chinese and Japanese Text Line Recognition

Huu-Tin Hoang, Chun-Jen Peng, Vinh Hung, Hung Le, Hoang Huy

(2021), pp. 4813-4820, ICPR 2019: Putting Artificial Intelligence to Work on Patterns : Proceedings of the 25th Pattern Recognition 2021 International Conference, Milan, Italy, E1

conference

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

(2021), Vol. 13121, pp. 19-33, ICSOC 2021 : Proceedings of the 19th Service-Oriented Computing Iternational Computing, Virtual Event, E1

conference

Robust Deep Reinforcement Learning for Extractive Legal Summarization

D Nguyen, B Nguyen, N Nghiem, D Le, M Khatun, M Nguyen, H Le

(2021), pp. 597-604, ICONIP 2018: Proceedings of the Neural Information Processing Conference, Sanur, Bali, Indonesia, E1

conference
2020

Neural Stored-program Memory

Hung Le, Truyen Tran, Svetha Venkatesh

(2020), pp. 1-27, ICLR 2020 : Proceedings of the 8th International Conference on Learning Representations, Virtual Conference, Ethiopia, E1

conference

Self-Attentive associative memory

H Le, T Tran, S Venkatesh

(2020), pp. 5638-5647, ICML 2020 : Proceedings of the 37th International Conference on Machine Learning, Online, E1

conference
2019

Learning to remember more with less memorization

H Le, T Tran, S Venkatesh

(2019), ICLR 2019: Proceedings of the 7th International Conference on Learning Representations, New Orleans, Louisiana, E1

conference
2018

Dual control memory augmented neural networks for treatment recommendations

H Le, T Tran, S Venkatesh

(2018), Vol. 10939, pp. 273-284, PAKDD 2018 : Proceedings of the 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining, Melbourne, Vic., E1

conference

Dual memory neural computer for asynchronous two-view sequential learning

Hung Le, Truyen Tran, Svetha Venkatesh

(2018), pp. 1637-1645, ACM SIGKDD 2018 : Proceedings of the 24th International Conference on Knowledge Discovery & Data Mining, London, England, E1

conference

Variational Memory Encoder-Decoder

Hung Le, Truyen Tran, Thin Nguyen, Svetha Venkatesh

(2018), Vol. [31], pp. 1515-1525, NeurIPS 2018 : Proceedings of the Advances in Neural Information Processing Systems Annual Conference, Montreal, Canada, E1

conference

Funded Projects at Deakin

No Funded Projects at Deakin found

Supervisions

No completed student supervisions to report