Xiang Zhang ☕️
Xiang Zhang

EECS Ph.D. Student

30+

Manuscripts

920+

Citations

17

h-index

Welcome 👋

I am currently a Ph.D. student in EECS at UC Berkeley, working with Professor Yun S. Song. My research focuses on AI for Science (AI4Science).

Previously, I was a Master’s student at the University of British Columbia (UBC), advised by Professors Siqi Sun, Chenyu You, and Wanli Ouyang. I am also grateful for the early research guidance I received from Professors Lili Mou and Greg Kondrak.

Recent News

2026 Aug: 1 paper was accepted to EMNLP Findings 🎉
2026 Jul: 1 paper was accepted to ACM MM 🎉
2026 Jun: My paper on scaling proteomics with deep learning was accepted to Nature Methods 🎉
2026 May: 1 paper was accepted to ICML 🎉
2026 Feb: 1 paper was accepted to CVPR Findings 🎉
2025 Sept: 2 papers were accepted to NeurIPS 🎉
2025 July: One paper got accepted in Journal of Scheduling, after 3 years of reviewing process 🎉
2025 April: 2 papers were accepted to ICML 🎉
2025 March: 1 paper got accepted to ACL main conference 🎉
2025 Jan: My paper on peptide sequencing with Non-autoregressive Transformer got accepted to Nature Communications 🎉