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

Tiancong Chen, Ju Sun. In submission

Stability Based Generalization Bounds for Exponential Family Langevin Dynamics

Arindam Banerjee , Tiancong Chen , Xinyan Li , Yingxue Zhou. (alphabetical order) ICML, 2022 [Link]

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]

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