I am a fifth-year CS PhD student at the University of Illinois Urbana-Champaign, where I am fortunate to be advised by the great Han Zhao, and to have worked with the glorious Matus Telgarsky. Previously, I graduated from the ECE department with a BS degree.
My interests lie broadly in machine learning, transfer learning, and natural language processing. I currently study fairness and domain adaptation.
Papers
Learning List-Level Domain-Invariant Representations for Ranking
Ruicheng Xian, Honglei Zhuang, Zhen Qin, Hamed Zamani, Jing Lu, Ji Ma, Kai Hui, Han Zhao, Xuanhui Wang, Michael Bendersky
NeurIPS 2023 spotlight ⋅ pdf ⋅ code
Revisiting Scalarization in Multi-Task Learning: A Theoretical Perspective
Yuzheng Hu, Ruicheng Xian, Qilong Wu, Qiuling Fan, Lang Yin, Han Zhao
NeurIPS 2023 ⋅ pdf
Fair and Optimal Classification via Post-Processing
Ruicheng Xian, Lang Yin, Han Zhao
ICML 2023 ⋅ pdf ⋅ code
Cross-Lingual Transfer with Class-Weighted Language-Invariant Representations
Ruicheng Xian, Heng Ji, Han Zhao
ICLR 2022 ⋅ pdf ⋅ code
Neural tangent kernels, transportation mappings, and universal approximation
Ziwei Ji, Matus Telgarsky, Ruicheng Xian
ICLR 2020 ⋅ pdf
September 2023