News since 2019 Fall
  • Feb. 2024: Minshuo Chen has accepted an offer of tenure-track assistant professor position from Department of Industrial Engineering and Management Sciences at Northwestern University. He will start in 2024 Fall.
  • Nov. 2023: Chen Liang has successfully defended her Ph.D. Dissertation: On Parameter Efficiency of Neural Language Models. She will join Microsoft as a senior research scientist.
  • Oct. 2023: Prof. Shihao Yang and I co-organized Georgia Statistics Day 2023.
  • Apr. 2023: Simiao Zuo has successfully defended his Ph.D. Dissertation: On Training, Inference and Sample Efficiency of Language Models. He will join Microsoft as a research scientist.
  • Mar. 2023: Qingru Zhang's recent collabrative work with Microsoft Azure AI on parameter efficient fine-tuning is available on Hugging Face now. See more information here.
  • Oct. 2022: One Ph.D. position is avaiable in my group. Prof. Yongsheng Chen in School of Civil and Environmental Engineering and I are recruiting a Ph.D. student to work on the interface of computational chmistry and machine learning. See more information here. Please contact us if you are interested and have a background in molecular dynamics simulation.
  • Sep. 2022: One Ph.D. position is avaiable in my group. Prof. Hua Wang at ETH Zurich and I are recruiting a PhD student to work on the interface of morden circuit design and machine learning. See more information here. Please contact me if you are interested and have a background in electromagnetics, especially EM simulation.
  • Sep. 2022: Two Ph.D. positions are avaiable in my group. See more information here. Please contact me if you are interested in deep learning theory or natural language processing.
  • Jul. 2022: Minshuo Chen has successfully defended his Ph.D. Dissertation: Representaiton and Statistical Properties of Deep Neural Networks for Structured Data. He will join Princeton Univesity as a postdoctral fellow.
  • Jul. 2022: Siawpeng Er has successfully defended his Ph.D. Dissertation: Deep Learning in Biomedical Informatics and Modern Circuit Design. He will join Home Depot as a Data Scientist.
  • Nov. 2021: Jiachen Yang has successfully defended his Ph.D. Dissertation: Cooperation in Multi-Agent Reinforcement Learning. He will join Lawrence Livermore National Laboratory as a Staff Research Scientist
  • Jul. 2021: I am co-organizing The First Workshop on Evaluations and Assessments of Neural Conversation Systems (EANCS) (co-located with EMNLP 2021) with a group of researchers from Google, Amazon, Microsoft, Facebook, Georgia Tech, Virginia Tech and National Taiwan University.
  • Jul. 2021: Yujia Xie has successfully defended her Ph.D. Dissertation: On Computation and Applications of Optimal Transport. She will join Microsoft as a research scientisit.
  • Apr. 2021: Zhehui Chen has successfully defended his Ph.D. Dissertation: Modern Statistical Methods for Optimization and Change-Point Detection. He will join Didi as a research scientisit.
  • Apr. 2021: Haoming Jiang has successfully defended his Ph.D. Dissertation: Reducing Human Labor Cost in Deep Learning for Natural Language Processing. He will join Amazon as a applied research scientisit.
  • Apr. 2021: Tianyi Liu has successfully defended his Ph.D. Dissertation: Theoretical Analysis of Stochastic Gradient Descent in Nonconvex Optimization. He will join Bytedance as a resesrch scientist.
  • Mar. 2021: Minshuo Chen wrote a blog post for our recent results in Towards Understanding Hierarchical Learning: Benefits of Neural Representations.
  • Apr. 2020: Ethan Fang, Niao He, Junwei Lu, Zhaoran Wang, Zhuoran Yang and I are co-organizing an Online Seminar Series on Mathematical Foundation of Data Sciences. See more information here!
  • Dec. 2019: Haoming Jiang's recent collabrative work with Microsoft Dynamics 365 AI and Microsoft Research AI (paper, code) achieves state-of-the-art results in 5 of 9 GLUE benchmark tasks and an overall GLUE task performance 89.9, which outperforms all existing models.
  • Nov. 2019: Minshuo Chen wrote a blog post for our recent results in Efficient Approximation of Deep ReLU Networks for functions on Low Dimensional Manifolds and Nonparametric Regression on Low Dimensional Manifolds using Deep Neural Networks.
  • Oct. 2019: Prof. Wenjing Liao and I are co-organizing a mini-symposium on Machine learning on Data with Low-dimensional Structures at the upcoming SIAM Conference on Mathematics of Data Sciences 2020.
  • Oct. 2019: Prof. Yajun Mei, Prof. Yao Xie and I co-organized Georgia Statistics Day 2019. Statcounter