About me
I am currently a Researcher in the Cognitive Computing Lab at Baidu Research working with Dr. Ping Li on generative modeling and its applications in Information Retrieval and AI Security. I am also a member of Prof. Chandan K. Reddy’s lab at VT since 2016. From May 2019 to Feb 2020, I worked at Criteo AI Lab in Palo Alto, CA, where I worked with Dr. Sathiya Keerthi Selvaraj and Dr. Fengjiao Wang. From 2016 to 2021, I a member of the Sanghani Center for Artificial Intelligence & Data Analytics. Before that, I was a Faculty Research Associate of Earth System Science Interdisciplinary Center at UMD and also had a joint appointment at NASA Goddard Space Flight Center, where I worked on high-performance and distributed system research.
I am a Vietnamese native.
- Artificial Intelligence
- Generative Models
- Information Retrieval
Ph.D. in Computer Science
Virginia Polytechnic Institute and State University
MS in Computer Science
University of Maryland, College Park
Research Themes
My research focuses on understanding the advantages and limitations of generative models and developing practical generative ML models that have low computational complexity and require less human effort.
Information Retrieval and Applications
- Interpretable Graph Similarity Computation via Differentiable Optimal Alignment of Node Embeddings (SIGIR 2021 by Doan et al.)
- Efficient Implicit Unsupervised Text Hashing using Adversarial Autoencoder (WWW 2020 by Doan et al.)
- Image Hashing by Minimizing Discrete Component-wise Wasserstein Distance (arxiv 2021 by Doan et al.)
- Generative Hashing Network (Under submission 2021 by Doan et al.)
- Generative Cooperative Hashing Network (Under submission 2021 by Doan et al.)
- Fast Neural Learning-to-Hash Ranking under NeuralNetwork based Measures (Under submission 2021 by Doan et al.)
Generative Models
- Image Generation Via Minimizing Frechet Distance in Discriminator Feature Space (Under submission 2021 by Doan et al.)
- Regression via implicit models and optimal transport cost minimization (arxiv 2020 by Manchanda et al.)
AI Backdoor Security with Generative Models
- Attack with Stealthy Embedding Space Modification (Under submission 2021 by Doan et al.)
- Imperceptible Backdoor Attacks (ICCV 2021 by Doan et al.)
Publications
Professional Services
Journal Reviewer
- ACM Transactions on Internet Technology (TOIT): 2020
- ACM Transactions on Knowledge Discovery from Data (TKDD): 2018-2021
Program Committee
- Conference on Neural Information Processing Systems (NeurIPS): 2020-2021
- International Conference on Machine Learning (ICML): 2020-2021
- Conference on Computer Vision and Pattern Recognition (CVPR): 2020-2021
- International Conference on Computer Vision (ICCV): 2021
- European Conference on Computer Vision (ECCV): 2020
- IEEE International Conference on Big Data (BigData): 2020
- 1st International Workshop on Industrial Recommendation Systems (IRS): 2020-2021
- AAAI Conference on Artificial Intelligence (AAAI): 2020-2021
Conference Reviewer
- ACM SIGKDD International Conference on Knowledge discovery and data mining (KDD): 2017, 2018, 2019
- ACM International Conference on Information and Knowledge Management (CIKM): 2017-2019
- ACM International Conference on Web Search and Data Mining (WSDM): 2017-2019
- The Web Conference (WWW): 2017-2019
- International Joint Conference on Artificial Intelligence (IJCAI): 2017-2019