Ruichen Jiang

Ph.D. student, Department of Electrical and Computer Engineering, The University of Texas at Austin E-mail: rjiang [at] utexas [dot] edu Google Scholar

About me

I am a 3rd-year Ph.D. student in the Department of ECE at UT Austin, advised by Prof. Aryan Mokhtari. Before UT, I received a B.E. degree in Electronic Engineering and a B.S. degree in Mathematics both from Tsinghua University in 2020.

My current research interests lie in convex and non-convex optimization as well as online learning problems. Most recently, I am working on min-max optimization, second-order and higher-order methods, and bilevel optimization.

Preprints

• Online Learning Guided Curvature Approximation: A Quasi-Newton Method with Global Non-Asymptotic Superlinear Convergence
  Ruichen Jiang, Qiujiang Jin, and Aryan Mokhtari
  ArXiv preprint, 2023

• Generalized Optimistic Methods for Convex-Concave Saddle Point Problems
  Ruichen Jiang and Aryan Mokhtari
  ArXiv preprint, 2022

• Tightness and Equivalence of Semidefinite Relaxations for MIMO Detection [Companion Report]
  Ruichen Jiang, Ya-Feng Liu, Chenglong Bao, and Bo Jiang
  ArXiv preprint, 2021

Conference Papers

• A Conditional Gradient-based Method for Simple Bilevel Optimization with Convex Lower-level Problem
  Ruichen Jiang, Nazanin Abolfazli, Aryan Mokhtari, and Erfan Yazdandoost Hamedani
  AISTATS 2023

• Future Gradient Descent for Adapting the Temporal Shifting Data Distribution in Online Recommendation System
  Mao Ye, Ruichen Jiang, Haoxiang Wang, Dhruv Choudhary, Xiaocong Du, Bhargav Bhushanam, Aryan Mokhtari, Arun Kejariwal, and Qiang Liu
  UAI 2022

• Antenna Efficiency in Massive MIMO Detection
  Ruichen Jiang and Ya-Feng Liu
  IEEE SPAWC 2021

• Achieving Cooperative Diversity in Over-the-Air Computation via Relay Selection
  Ruichen Jiang, Sheng Zhou, and Kaibin Huang
  IEEE VTC2020-Fall 2020

• Cluster-Based Cooperative Digital Over-the-Air Aggregation for Wireless Federated Edge Learning
  Ruichen Jiang and Sheng Zhou
  IEEE/CIC ICCC 2020