Di Chen's Personal Website

Di Chen

I am a Ph.D. student in the Department of Computer Science at Cornell University, advised by Carla P. Gomes.

Here is my CV.

About Me

I am a Ph.D. student in the Department of Computer Science at Cornell University, advised by Carla P. Gomes. My undergraduate was in Shanghai Jiao Tong University, where I spent 4 wonderful years in ACM honored Class and received my B.Sc. I have broad interests in machine learning and artificial intelligence. My current research includes solving structured prediction, multi-entity modeling, covariate shift, task-based learning and combining logical reasoning with deep learning for scientific discovery.

I am a big fan in competitive programming, and our team was the champion in ACM-ICPC Great New York Regional. We were the 56th out of 140 teams in the 42nd ACM-ICPC World Finals in Beijing, China, 2018.

Honors and Awards

ACM International Collegiate Programming Contest

● 56th out of 140 teams in the 42nd ACM-ICPC World Finals in Beijing, China, 2018

● Champion in New York, GNYR Regional, 2017

● Gold Medal in Taiwan, Asia Regional, 2014

● Silver Medal in Xi'an, Asia Regional ,2014

Zhiyuan Outstanding Student Scholarship, 2017

KoGuan Scholarship, 2014

Academic Excellence Scholarship, 2014

National Olympiad in Informatics, China

● Silver Medal (National), 2012

● Gold Medal (Province), 2011 & 2012

Publications

Task-Based Learning via Task-Oriented Prediction Network with Applications in Finance

Di Chen, Yada Zhu, Xiaodong Cui, Carla Gomes. IJCAI2020.

Deep Reasoning Networks: Thinking Fast and Slow

Di Chen, Yiwei Bai, Wenting Zhao, Sebastian Ament, John M. Gregoire, Carla Gomes. ICML2020.

Bias Reduction via End-to-End Shift Learning: Application to Citizen Science

Di Chen, Carla Gomes. AAAI (Oral) 2019.

Automatic Detection and Compression for Passive Acoustic Monitoring of the African Elephant

Johan Bjrck, Brendan Rappazzo, Di Chen, Richard Bernstein, Peter Wrege, Carla Gomes. AAAI 2019.

Convolutional Neural Network-Based Intention Forecasting and Lane Change Path Predicting of the human driver

Kaiming Yang, Zhanhong Yan, Di Chen, Xuewu Ji, Kimihiko Nakano. ASME 2019.

End-to-End Learning for the Deep Multivariate Probit Model

Di Chen, Yexiang Xue, Carla Gomes. ICML (Oral), 2018.

Multi-Entity Dependence Learning with Rich Context via Conditional Variational Auto-encoder

Luming Tang, Yexiang Xue, Di Chen, Carla Gomes. AAAI, 2018.

Piecewise Affine-Based Shared Steering Torque Control Scheme for Cooperative Path-Tracking: A Game-Theoretic Approach

Kaiming Yang, Xiangkun He, Yulong Liu, Xuewu Ji, Di Chen. SAE Technical Paper, 2018.