| CARVIEW |
|
|
|
University of Pennsylvania
Carnegie Mellon University
Nanyang Technological University
Amazon (Rufus LLM intern), 
Alibaba (Alipay intern), UC Berkeley (visiting student), and Duke University (RA).
Research Interests
- I focus on deep generative modeling and trustworthy AI. Specifically, I am working on controllability, robustness, and multimodality in foundation models. My work also emphasizes the curation of more informative and comprehensive data.
- Please feel free to reach out by email. I am open to discussing emergent directions, potential collaborations, and opportunities.
Recent Works
- Full publication list can be found here.
 |
Concept Lancet: Image Editing with Compositional Representation Transplant |
|
 |
PaCE: Parsimonious Concept Engineering for Large Language Models |
|
 |
Zero-shot Model Diagnosis |
|
 |
LogiCity: Advancing Neural-Symbolic AI with Abstract Urban Simulation |
|
 |
Recent Advances in Adversarial Training for Adversarial Robustness |
|
 |
Reliable and Responsible Foundation Models |
|
 |
A Gradient Flow Perspective on Low-Rank Adaptation in Matrix Factorization |
|
 |
Voyaging into Perpetual Dynamic Scenes from a Single View |
|
 |
SECA: Semantically Equivalent and Coherent Attacks for Eliciting LLM Hallucinations |
|
 |
ActivityGAN: Data Augmentation in Sensor-Based Human Activity Recognition |
|
 |
Contextual Knowledge Pursuit for Faithful Visual Synthesis |
|
 |
Generating Adversarial yet Inconspicuous Patches with a Single Image |
Services and Activities
- Conference Reviewer: CVPR, NeurIPS, ICLR, ICML, ICCV, EMNLP, ACL ARR, AISTATS, AAAI, ECCV.
- Journal Reviewer: TMLR, Neurocomputing, TNNLS.
- Organizer: ICLR FM-Wild Workshop.
- Teaching Assistant: [Penn 23Fall] Deep Generative Models (Founding Members). [Penn 24Fall] Deep Generative Models.