All Updates
Research Scientist at Guide Labs
Excited to share that I’ll be moving to San Francisco this summer to start a new chapter as a AI Research Scientist!
🎉 TMLR2025 - Interpretable LLM-based Table Question Answering
Our work Interpretable LLM-based Table Question Answering got accepted at Transactions on Machine Learning Research.
IAI Workshop @ NeurIPS 2024 paper accepted
🎉 Exciting News! 🎉
Summer 2024 Internship & Research Updates
This summer, I joined JPMorgan Chase as an AI Research Intern in Manhattan, NYC.
🎉 TMLR2024 & ICLR2025 - Probable-class nearest neighbor explanations
Our work PCNN: Probable-Class Nearest-Neighbor Explanations Improve Fine-Grained Image Classification Accuracy for AIs and Humans got accepted at Transactions on Machine Learning Research. It was a...
🎉 CVPRW2024 - Interactive visual explanations
Our work Allowing humans to interactively guide machines where to look does not always improve human-AI team’s classification accuracy got accepted at XAI4CV at CVPR 2024 and will be part of the CV...
🏆 1st at ACM MMSports 2023 Instance Segmentation
Son, Hung, and Mikel (Master students) from KAIST, South Korea, under my and Dr. Daeyoung Kim’s supervision won the ACM MMSports 2023 Instance Segmentation challenge. We are ranked 1st over more th...
🎉 NeurIPS2023 - ImageNet Hard and Zooming
Our paper: ImageNet-Hard: The Hardest Images Remaining from a Study of the Power of Zoom and Spatial Biases in Image Classification got accepted at NeurIPS 2023.
🏆 Diversity Award!
I got the Diversity Graduate Student Support Award at Auburn Univeristy: $1000. cert
🔈 Talk at TU Delft
I gave a talk titled: Towards Useful Visual XAI Methods for Human-AI Collaboration at L3S Research Center, Delft University of Technology (TU Delft), Netherlands (online). slide.
🎉 NeurIPS2022 - Visual correspondence-based explanations
Our paper: Visual correspondence-based explanations improve AI robustness and human-AI team accuracy got accepted at NeurIPS 2022.
🎉 CVPRW2022 - Human-AI teaming
Our work on improving human-AI team performance using interpretable models has been accepted at XAI4CV@CVPR2022. See the poster here
🔈 Talk at Huntsville.AI
Today I gave a talk at a NeurIPS 2021 Remote Meetup (organized by Huntsville.AI). Had so much of fun talking with folks and share my ideas in the most recent paper and the future of Explainable AI.
🎉 NeurIPS2021 - The effectiveness of feature attribution maps
Our paper: The effectiveness of feature attribution methods and its correlation with automatic evaluation scores got accepted at NeurIPS 2021.
🏆 Presidential Fellowship
I received the prestigious Presidential fellowship at Auburn university.
🎥 Chat with Vietnamnet
The article was written in Vietnamese. If interested, kindly use Google translate to read it. I talked about the reason I pursue PhD and somehow my ambitions for my country. Read more here.
🇺🇸 1st day in US
I just arrived in the US in August 2021 to start my Ph.D. program in Computer Science at Auburn University, AL.