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 I received B.S. in EE from BIT&ANU. I received M.S. degree from ECE@UCSD advised by Prof. Pamela Cosman and Prof. Dinesh Bharadia, where I worked on multimedia data compression (images/videos & point clouds).

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

LinkedIn  /  Google Scholar  /  Github

profile photo

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!

Conference Papers

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.

Workshop Papers

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

Academic Services

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

Invited Talks

UCSB AI Meetup, 05/02/2025

Work Experiences

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

Teaching

[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.