| 05/2024 |
Starting a new position as a Research Scientist at Salesforce! Super excited to explore the frontiers of LLM, VLM, reliable ML, among other fascinating topics.
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| 05/2024 |
Defended my Ph.D. thesis on Reliable Foundation Models in the Open World 
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| 01/2024 |
Our paper Understanding Retrieval-Augmented Task Adaptation for Vision-Language Models is accepted by ICML 2024. 
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| 01/2024 |
Our paper Provable Out-of-Distribution Generalization in Hypersphere is accepted by ICLR 2024.
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| 06/2023 |
Research intern at Microsoft Research working on spatial and mathematical reasoning for vision-language models.
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| 01/2023 |
Our paper How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection is accepted by ICLR 2023.
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| 10/2022 |
Our paper Utilizing Language-Image Pretraining for Efficient and Robust Bilingual Word Alignment is accepted by EMNLP Findings 2022.
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| 09/2022 |
Two of our papers Delving into OOD Detection with Vision-Language Representations and SIREN: Shaping Representations for Detecting Out-of-distribution Objects are accepted by NeurIPS 2022.
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| 05/2022 |
Start summer internship as a research scientist at Adobe Inc working on out-of-distribution robustness for multi-modal document understanding and pre-training.
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| 01/2022 |
Graduated from the UW-Madison with a Master of Science in Computer Sciences.
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