Student Hiring
Research Interests
ML algorithms
- Robust ML: distribution shift, test-time adaptation, transferability
- Adversarial ML: adversarial attack, data poisoning, certified robustness
- Differential privacy, bilevel optimization
ML Applications
- Materials design: generative models, Bayesian optimization
- Health sciences: synthetic data generation, medical image analysis
Publications
You can find the list of publications from Google scholar.
News
- Our paper titled "DPCore: Dynamic Prompt Coreset for Continual Test-Time Adaptation" has been accepted for publication at ICML'25 (May 2025).
- Yilun Zhou is joining the machine learning group. Welcome!
- Congrats to Jiarui for successfully passing the oral qualifier! (Apr 2025)
- Congrats to Henger for successfully defending the phd theses! (Feb 2025)
- Our paper titled "Enhancing Skin Disease Diagnosis: Interpretable Visual Concept Discovery with SAM Empowerment" has been accepted for publication at WACV'25 (Oct 2024).
- I have been awarded a NAIRR Pilot project titled "Accuracy and Unbiasedness of AI-Generated Synthetic Medical Images" (Oct 2024).
- I will be giving an invited talk at on "Can fake images be better than real ones? utility and privacy of synthetic images in dermatology" at AI-ML Systmes Workshop on Generative AI. (Oct 2024)
- Our paper titled "Understanding the Transferability of Representations via Task-Relatedness" has been accepted for publication at NeurIPS (Sep 2024).
- Yunsung will be presenting "Bridging the Gap: Synthetic Data Augmentation through Inversion and Distribution Matching for Few-shot Learning" at the International Conference on AI-MLSystems Workshop. (Sep 2024)
- Our paper titled "OT-VP: Optimal Transport-guided Visual Prompting for Test-Time Adaptation" has been accepted for publication at WACV (Sep 2024).
- Our paper titled "From Majority to Minority: A Diffusion-based Augmentation for Underrepresented Groups in Skin Lesion Analysis" has been accepted for publication at the MICCAI workshop ISIC Skin Image Analysis (Aug 2024). We also received Honorable Mention Award for this work.
- I'm a Co-PI to the Louisiana Cancer Research Center (LCRC) new investigator award "Machine learning to increase the accuracy of non-invasive diagnosis and staging of gastroenteropancreatic neuroendocrine neoplasms." Congrats, Dr. Limbach!
- Our paper titled "Accelerating High-Entropy Alloy Discovery: Efficient Exploration Via Active Learning" was accepted for publication in Scripta Materialia.. (May 2024)
- I'm on the program committees of NeurIPS'24 and ICML'24.
- I have received 2024 Tulane SSE Diversity Award(May 2024).
- Congrats to Akshay for receiving the prestigious Tulane 34 award! (May 2024)
- Congrats to Akshay for successfully defending the phd theses! (Apr 2024)
- Akshay will be presenting our paper titled "Test-time Assessment of a Model’s Performance on Unseen Domains via Optimal Transport" at CVPR Workshop on Fair, Data-efficient, and trusted computer vision. (June 2024)
- Yunbei will be presenting our paper titled "OT-VP: Optimal Transport-guided Visual Prompting for Test-Time Adaptation" at CVPR Workshop on Test-Time Adaptation: Model, Adapt Thyself! (MAT). (June 2024)
- Janet will be presenting our paper titled "From Majority to Minority: Enhancing Underrepresented Group via Diffusion-based Augmentation in Skin Lesion Analysis" at CVPR Workshop on Data Curation and Augmentation in Enhancing Medical Imaging Applications. (June 2024)
- Janet will be presenting our paper titled "Achieving Reliable and Fair Skin Lesion Diagnosis via Unsupervised Domain Adaptation" at CVPR Workshop on Domain adaptation, Explainability, Fairness in AI for Medical Image Analysis (DEF-AI-MIA). (June 2024)
- Congrats to Gloria for successfully defending the phd theses! (April 2024)
- Congrats to Mikey for successfully defending the honor theses! (April 2024)
- I had a short interview with the host of the local radio channel WGSO about the NeurIPS outreach program and the future of AI.
- The NeurIPS 2023 Outreach Program has reached out to 12 local colleges in Louisiana. In the end we invited 94 student participants and 5 faculty participants from 6 colleges and offered a tutorial program on Dec 11 at NeurIPS. (Dec 2023)
- Akshay will be presenting our paper titled "Analysis of Task Transferability in Large Pre-trained Classifiers" at NeurIPS 2023 workshop. (Dec 2023)
- We have announced NeurIPS 2023 outreach program. More details of the program will follow soon. (Oct 2023)
- We will be receiving continued support for NIH R33 "MIND-the-SKIN" with Yotsu as PI. (Oct 2023)
- I served as a panelist for NSF CISE IIS III. (2023)
- Allan (PI) and I have received the 3rd-year LAMDA Seed Funding for "Automatic Detection of Fractures in X-ray Material Tomography using Weakly-supervised Machine Learning." (Aug 2023)
- Akshay will be presenting our paper titled "On the Fly Neural Style Smoothing for Risk-Averse Domain Generalization" at WACV 2024. (Aug 2023)
- Yunsung will be presenting our paper titled "FBA-Net: Foreground and Background Aware Contrastive Learning for Semi-Supervised Atrium Segmentation" at MICCAI'23 workshop MILLanD . (Aug 2023)
- The LAMDA team had a successfull NSF site visit at LSU, and will have a continued funding for Y4-5. (Aug 2023)
- Congrats to Taotao for successfully defending the phd theses! (July 2023)
- I will be giving a keynote talk on "Analyzing Transfer Learning Bounds through Distributional Robustness" at ICML 2023 Workshop AdvML-Frontiers. (Jul 2023)
- Akshay will be presenting our paper titled "Risk-Averse Predictions on Unseen Domains via Neural Style Smoothing" at ICML 2023 Workshop AdvML-Frontiers 2023. (Jul 2023)
- I gave a short presentation on "Bayesian Optimization for stable phase prediction" at 2023 LAMDA Symposium. (July 2023)
- I will be giving an invited talk at on "Transferability of Large Pre-trained Classifiers" at Korea Institute for Advanced Study (KIAS). (Jul 2023)
- Our paper titled "Deep learning for AI-based diagnosis of skin-related neglected tropical diseases: a pilot study" was accepted for publication in PLOS Neglected Tropical Diseases. (June 2023)
- Janet Wang is joining the machine learning group. Welcome!
- Congrats Karthik and Haifeng for successfully defending your phd theses! (Apr 2023)
- Congrats Charles, Chenyu, Jamie, and Reagan for receiving the SSE Capstone Design Expo Expert Award on "Skin Disease Diagnosis on Darker Skin Tones"! (Apr 2023)
- I will be serving as the NeurIPS 2023 Outreach Chair at the New Orleans Convention Center in December.
- Our paper titled "Marginalized Augmented Few-shot Domain Adaptation" was accepted for publication in IEEE TNNLS. Congrats, Taotao! (Apr 2023)
- I gave a short presentation on "ML predictions of stable phases of complex concentrated alloys" at 2023 LAMDA Technical Conference. (Feb 2023)