Kien Do's Portfolio

About me

I am Kien Do (a.k.a. Đỗ Đức Kiên). I studied Bachelor of Computer Science (Honours Program) at the University of Engineering and Technology (UET), Vietnam National University Hanoi (VNU Hanoi) from 2010 to 2014 and graduated with high distinction. In 2016, I received a Deakin University Postgraduate Research Scholarship (DUPRS) and started my PhD at the Applied Artificial Intelligence Institute (A2I2) (previously known as the Centre for Pattern Recognition and Data Analytics (PRaDA)) at Deakin University, Australia under the supervision of Dr. Truyen Tran and Prof. Svetha Venkatesh. I completed my PhD in early 2020 and have been working as a Postdoctoral Research Fellow at A2I2. My research interests include Representation Learning, Self-supervised Learning, Generative Models, Adversarial Learning, Disentanglement, and Causal Inference.

News

2023 Intake (Generalizable Deep Learning): Currently, I am looking for some PhD students who want to work with me on generative models, representation learning, and generalizable AI. Please email me your CV if you are interested in. More information can be found here.
2023 Intake (Deep Learning for Advanced Battery): Besides the main research, I am also leading a research team working on an industrial project about deep learning for advanced battery. Therefore, I also look for some PhD students to work with me on the project-related research topics such as time-series modeling, generative models and representation learning on graphs, and physics-informed machine learning.

31/07/2022	I accpeted an invitation to serve as a reviewer for ICLR-2023.
30/07/2022	I accpeted an invitation to serve as a Program Committee (PC) member for AAAI-2023.
14/07/2022	I was recognized as an Outstanding Reviewer (among the top 10% of reviewers) at ICML-2022 and was awarded a complimentary full registration for ICML-2022. 🤩
09/07/2022	I had two accpeted papers at ECCV-2022 which are "Towards Effective and Robust Neural Trojan Defenses via Input Filtering" and "Black-box Few-shot Knowledge Distillation". Congrats to Dr. Dang Nguyen and other people in the team! 👍
16/03/2022	I gave an online talk as a guest speaker at the AI Lab Webinar held by FPT Software AI Lab. The title of my talk is "Towards Label and Data-Efficient Machine Learning".

[Older news]

[Latest news]

06/01/2022	I accpeted an invitation to serve as a reviewer for ICML-2022.
19/01/2022	Khanh-Toan Nguyen officially received the scholarship offer to study PhD at A2I2 under the supervision of Dr. Thin Nguyen and me. Big congrats to Toan, well done! 🎉🎉🎉
19/12/2021	Our paper "Learning Theory of Mind via Dynamic Traits Attribution" was accepted at AAMAS-2022. Congrats to Dung Nguyen and other people in the team! 👍
03/12/2021	I was in the panel interviewing Khanh-Toan Nguyen for the PhD scholarship at A2I2.
01/12/2021	Our paper "Episodic Policy Optimization" was accepted at AAAI-2022. Congrats to Dr. Hung Le and other people in the team! 👍
29/11/2021	My Academic Promotion Application from level A to level B was officially approved and will be effective from 1 January 2022.
23/11/2021	I accpeted an invitation to be a reviewer for CVPR-2022.
23/07/2021	Our paper "Clustering by Maximizing Mutual Information Across Views" was accepted at ICCV-2021.
13/06/2021	I accepted an invitation to be a reviewer for ICLR-2022.
12/05/2021	I accepted an invitation to be a reviewer for the Journal of Machine Learning Research (JMLR).
02/04/2021	I accepted an invitation to be a reviewer for ACML-2021.
06/04/2021	I accepted an invitation to be a reviewer for NeurIPS-2021.
25/02/2021	I was in the panel judging the performance of Minh-Tri Nguyen in one year for the official confirmation of his PhD candidature.
02/12/2020	Our paper "Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization" was accepted at AAAI-2021.
11/11/2020	I was in the panel interviewing two undergraduate students Johnathon Toh and Nithin Reddy Gundre for the Research Internships at A2I2.
28/08/2020	I accepted an invitation to serve as a Program Committee (PC) member for AAAI-2021.
03/07/2020	I was in the panel interviewing Hoang-Anh Pham for the PhD scholarship at A2I2.
15/05/2020	I was in the panel judging the performance of Duc Xuan Nguyen in one year for the official confirmation of his PhD candidature.
01/05/2020	I accepted an invitation to be a reviewer for the Machine Learning Journal (ACML-2020 Journal Track).
02/04/2020	I accepted an invitation to be a reviewer for ACML-2020.
18/01/2020	I started working as a full-time Postdoctoral Research Fellow at A2I2, Deakin University.
15/01/2020	I officially completed my PhD.
03/01/2020	I received an official offer to work as a Research Scientist at VinAI Research after an intensive interview process.
20/12/2019	Our paper "Theory and Evaluation Metrics for Learning Disentangled Representations" was accepted at ICLR-2020.
30/04/2019	Our paper "Graph Transformation Policy Network for Chemical Reaction Prediction" was accepted at KDD-2019.
11/03/2019	Our paper "Attentional Multilabel Learning over Graphs: A Message Passing Approach" was published in the Machine Learning Journal.
04/03/2019	I accepted an invitation to be a Program Committee (PC) member for ACML-2019.
29/04/2018	I accepted an invitation to be a Program Committee (PC) member for ACML-2018.
11/04/2018	Our paper "Knowledge Graph Embedding with Multiple Relation Projections" was accepted at ICPR-2018.
07/03/2018	I accepted an invitation to be a reviewer for ICPR-2018.
15/02/2018	Our paper "Energy-Based Anomaly Detection for Mixed Data" was published in the Knowledge and Information Systems Journal.
14/03/2017	My PhD candidature was officially confirmed. 😎
19/09/2016	Our paper "Outlier Detection on Mixed-Type Data: An Energy-based Approach" was accepted at ADMA-2016.
04/04/2016	I started my PhD at the Centre for Pattern Recognition and Data Analytics (PRaDA), Deakin University under the supervision of Dr. Truyen Tran and Prof. Svetha Venkatesh.