Tiancong Chen
Greetings! I am currently a Ph.D. student at the Department of Computer Science, University of Minnesota, Twin Cities. I am fortunately advised by Prof. Ju Sun and Prof. Arindam Banerjee. I obtained my bachelor major in applied math at Tsinghua University.
My research interests primarily lies in understanding deep learning. I also participate in practical research projects related to computer vision tasks, such as image classification, segmentation, and object detection.
Publications
The * sign indicates equal contribution.
Towards Perceptually Aligned Model
Stability Based Generalization Bounds for Exponential Family Langevin Dynamics
Early Stopping for Deep Image Prior
Hengkang Wang, Taihui Li, Zhong Zhuang, Tiancong Chen, Hengyue Liang, Ju Sun. (contributional order) Arxiv preprint, 2021 [Link]
Online Structured Linear Regression with Noisy Covariates
Tiancong Chen, Arindam Banerjee. In submission, 2022
De-randomized PAC-Bayes Margin Bounds: Applications to Non-convex and Non-smooth Predictors
Arindam Banerjee, Tiancong Chen, Yingxue Zhou. (alphabetical order) ArXiv preprint, 2020 [Link]
Distributed Training with Heterogeneous Data: Bridging Median- and Mean-Based Algorithms
Xiangyi Chen*, Tiancong Chen*, Haoran Sun, Zhiwei Steven Wu, Mingyi Hong. Neurips, 2020 [Link]
Hessian based analysis of SGD for Deep Nets: Dynamics and Generalization
Xinyan Li*, Qilong Gu*, Yingxue Zhou*, Tiancong Chen, Arindam Banerjee. SDM, 2019 [Link]