• Associate Professor, Computer Science & Engineering
  • Herbert H. Richardson Faculty Fellow
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Tianbo Yang

Educational Background

  • Ph.D., Computer Science, Michigan State University, 2012
  • B.Eng., Automation, University of Science and Technology of China, 2007

Research Interests

    • Optimization
    • Machine learning
    • Artificial intelligence

Awards & Honors

  • National Science Foundation Faculty Early Career Development (CAREER) Award, 2019
  • UIowa Dean's Excellence in Research Scholar, 2019
  • Excellence in Teaching, Berlin-Blank Center, UIowa, 2015
  • COLT Best Student Paper Award, 2012

Selected Publications

  • Finite-Sum Coupled Compositional Stochastic Optimization: Theory and Applications. Bokun Wang*, Tianbao Yang. In ICML.
  • Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance. Zhuoning Yuan, Yuexin Wu, Zihao Qiu, Xianzhi Du, Lijun Zhang, Denny Zhou, Tianbao Yang. In ICML 2022.
  • Stochastic Optimization of Area Under Precision-Recall Curve for Deep Learning with Provable Convergence. Qi Qi, Youzhi Luo*, Zhao Xu*, Shuiwang Ji, Tianbao Yang. In NeurIPS 2021.
  • Trading Computation for Communication: Distributed Stochastic Dual Coordinate Ascent [supplement] Tianbao Yang. In NIPS, 2013.
  • First-order Convergence Theory for Weakly-Convex-Weakly-Concave Min-max Problems. Mingrui Liu, Hassan Rafique, Qihang Lin, Tianbao Yang. In JMLR.
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