Tuan Dinh

Postdoc, University of California San Francisco

Joined

January 2018

Names

Tuan Dinh (Preferred)

Tuan Quang Dinh

Tuan Q. Dinh

Emails

****@cs.wisc.edu (Confirmed)

****@wisc.edu (Confirmed)

****@gmail.com (Confirmed)

****@ucsf.edu (Confirmed)

Personal Links

Career & Education History

Postdoc

University of California San Francisco (ucsf.edu)

2023 – 2026

Graduate student

Department of Computer Science, University of Wisconsin, Madison (cs.wisc.edu)

2016 – 2023

Advisors, Relations & Conflicts

Postdoc Advisor

Vasilis Ntranos

2023 – 2026

PhD Advisor

Kangwook Lee

2020 – 2023

Expertise

Language Modeling of Proteins

2023 – Present

Large language model

2021 – Present

Deep Learning

2016 – Present

Machine Learning

2014 – Present

Artificial Intelligence

2014 – Present

Publications

TabFlex: Scaling Tabular Learning to Millions with Linear Attention
Yuchen Zeng, Tuan Dinh, Wonjun Kang, Andreas C Mueller
- ICML 2025 spotlightposter
- Readers: Everyone
Large Language Models of Code Fail at Completing Code with Potential Bugs
Tuan Dinh, Jinman Zhao, Samson Tan, Renato Negrinho, Leonard Lausen, Sheng Zha, George Karypis
- NeurIPS 2023 poster
- Readers: Everyone
Detection of Microsleep Events With a Behind-the-Ear Wearable System
Nhat Pham, Tuan Dinh, Taeho Kim, Zohreh Raghebi, Nam Bui, Hoang Truong, Tuan Nguyen, Farnoush Banaei Kashani, Ann C. Halbower, Thang N. Dinh, Phuc Nguyen, Tam Vu
- 2023 (modified: 17 Apr 2023)
- IEEE Trans. Mob. Comput. 2023
- Readers: Everyone
Performing Group Difference Testing on Graph Structured Data From GANs: Analysis and Applications in Neuroimaging
Tuan Q. Dinh, Yunyang Xiong, Zhichun Huang, Tien Vo, Akshay Mishra, Won Hwa Kim, Sathya N. Ravi, Vikas Singh
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Readers: Everyone
LIFT: Language-Interfaced Fine-Tuning for Non-language Machine Learning Tasks
Tuan Dinh, Yuchen Zeng, Ruisu Zhang, Ziqian Lin, Michael Gira, Shashank Rajput, Jy-yong Sohn, Dimitris Papailiopoulos, Kangwook Lee
- Published: 31 Oct 2022, Last Modified: 08 Feb 2026
- NeurIPS 2022 Accept
- Readers: Everyone
Improved Input Reprogramming for GAN Conditioning
Tuan Dinh, Daewon Seo, Zhixu Du, Liang Shang, Kangwook Lee
- 2022 (modified: 26 Feb 2022)
- CoRR 2022
- Readers: Everyone
Utilizing Language-Image Pretraining for Efficient and Robust Bilingual Word Alignment
Tuan Dinh, Jy-yong Sohn, Shashank Rajput, Timothy Ossowski, Yifei Ming, Junjie Hu, Dimitris S. Papailiopoulos, Kangwook Lee
- 2022 (modified: 16 Apr 2023)
- CoRR 2022
- Readers: Everyone
Utilizing Language-Image Pretraining for Efficient and Robust Bilingual Word Alignment
Tuan Dinh, Jy-yong Sohn, Shashank Rajput, Timothy Ossowski, Yifei Ming, Junjie Hu, Dimitris S. Papailiopoulos, Kangwook Lee
- 2022 (modified: 16 Apr 2023)
- EMNLP (Findings) 2022
- Readers: Everyone
LIFT: Language-Interfaced Fine-Tuning for Non-Language Machine Learning Tasks
Tuan Dinh, Yuchen Zeng, Ruisu Zhang, Ziqian Lin, Michael Gira, Shashank Rajput, Jy-yong Sohn, Dimitris S. Papailiopoulos, Kangwook Lee
- 2022 (modified: 16 Apr 2023)
- CoRR 2022
- Readers: Everyone
PROS: an efficient pattern-driven compressive sensing framework for low-power biopotential-based wearables with on-chip intelligence
Nhat Pham, Hong Jia, Minh Tran, Tuan Dinh, Nam Bui, Young Kwon, Dong Ma, Phuc Nguyen, Cecilia Mascolo, Tam Vu
- 2022 (modified: 17 Apr 2023)
- MobiCom 2022
- Readers: Everyone

View all 15 publications

Co-Authors

View all 48 co-authors