Tian Qiu's Homepage

Tian Qiu

Hello! I'm 邱天(qiū tiān), a 1st year Ph.D. student at UCSB advised by Prof. Haewon Jeong, where I work on responsible AI and AI for science.

Previously:

🎓 B.Eng in EE @ BIT & ANU. Advised by Prof. Xiangyun Zhou.

My current research is on quantifying and mitigating bias in AI-based data encoding systems. I can be reached at tian_qiuATucsbDOTedu.

News

[Jun 2025] I'm attending ISIT '25 and presenting a poster at the workshop "Learn to Compress & Compress to Learn"!

[Jun 2025] I have a paper presenting at FAccT '25. Check out my co-author Arjun Nichani's talk on this paper!

Gone With the Bits: Revealing Racial Bias in Low-Rate Neural Compression for Facial Images
Tian Qiu*, Arjun Nichani*, Rasta Tadayon, Haewon Jeong
2025 ACM Conference on Fairness, Accountability, and Transparency (FAccT ’25)

Tile-Based Wireless Streaming of 360-Degree Video With Rate Adaptation Using Viewport Estimation
Yeohee Im, Tian Qiu, Laurence Milstein, Pamela Cosman
IEEE Signal Processing Letters 29, 2022.

Delivering 360-degree Video With Viewport-Adaptive Truncation
Tian Qiu, Ish Kumar Jain, Raini Wu, Dinesh Bharadia, Pamela Cosman
International Symposium on Wireless Personal Multimedia Communications (WPMC), 2022.

CosmoFlow: Scale-Aware Representation Learning for Cosmology with Flow Matching
Sidharth Kannan, Tian Qiu, Carolina Cuesta-Lazaro, Haewon Jeong
Machine Learning for Astrophysics Workshop @ ICML 25

Gone With the Bits: Revealing Racial Bias in Low-Rate Neural Compression for Facial Images
Tian Qiu*, Arjun Nichani*, Rasta Tadayon, Haewon Jeong
Learn to Compress & Compress to Learn @ ISIT 25

Gone With the Bits: Benchmarking Bias in Facial Phenotype Degradation Under Low-Rate Neural Compression
Tian Qiu*, Arjun Nichani*, Rasta Tadayon, Haewon Jeong
ICML 2024 Next Generation AI Safety Workshop, 2024.

*Equal contribution

Conference reviewer: ICLR 25, FAccT 25

Workshop reviewer: Learn to Compress & Compress to Learn @ ISIT 25, NextGenAISafety @ ICML 24, Machine Learning and Compression @ NeurIPS 2024

UCSB AI Meetup, 05/02/2025

[Summer '21]: Engineering Intern @ Qualcomm Video Systems, mentored by Dr. Mayank Tiwari.

[Fall '25]: Course designer and instructor for REAL AI Bootcamp, an introduction to AI class for highschool students.

[Spring '25]: TA for ECE 139 (Probability and Statistics, Undergraduate) @ UCSB, supervised by Prof. Haewon Jeong.

[Fall '22]: TA for ECE 253 (Digital Image Processing, Graduate) @ UCSD, supervised by Prof. Pamela Cosman.

This website is adapted from the fantastic code by Jon Barron.