Di Chen

I'm a Ph.D. in Computer Science with a focus on AI and Machine Learning. Currently, I hold the position of Director of Research and Engineering at Deep Reasoning AI Inc.

Here is my CV.

About Me

I earned my Ph.D. in Computer Science from Cornell University under the mentorship of Professor Carla P. Gomes. My research expertise lies in the realms of artificial intelligence and machine learning, with a particular emphasis on integrating prior knowledge-based logical and constraint reasoning with advanced deep learning techniques. My work encompasses solving complex problems in structured prediction, multi-entity modeling, covariate shift, and task-based learning.

Post-graduation, I joined Deep Reasoning AI Inc., where I served as the Director of Research and Engineering and led Deep Reasoning AI’s research and development of AI for Rapid Personalized 3D Anatomical Modeling.

Apart from my professional pursuits, I am a big fan in competitive programming, and our team was the champion in ACM-ICPC Great New York Regional and proceeded to compete in the 42nd ACM-ICPC World Finals. My foundational education in this field was at the Zhiyuan College of Shanghai Jiaotong University, China, where I graduated with a B.Sc. in 2017 from the ACM honored Class.

Honors and Awards


VerSe20 Large Scale Vertebrae Segmentation Challenge hosted by MICCAI 2020

   ● Best mean-performance and overall rank 2 out of 26 teams, 2020


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 & Patents


Task-oriented machine learning and a configurable tool thereof on a computing environment

Yada Zhu, Di Chen, Xiaodong Cui, Upendra Chitnis, Kumar Bhaskaran, Wei Zhang. Patent number 11586919. 2023

Deep learning with citizen science data enables estimation of species diversity and composition at continental extents

Courtney L. Davis, Yiwei Bai, Di Chen, Orin Robinson, Viviana Ruiz-Gutierrez, Carla P. Gomes, Daniel Fink. Ecology. 2023

Cost-Efficient Reinforcement Learning for Optimal Trade Execution on Dynamic Market Environment

Di Chen, Yada Zhu, Miao Liu, Jianbo Li. ICAIF. 2022

Materials structure-property factorization for identification of synergistic phase interactions in complex solar fuels photoanodes

Dan Guevarra, Lan Zhou, Matthias H. Richter, Aniketa Shinde, Di Chen, Carla P. Gomes, John M. Gregoire. npj. Computational Materials. 2022.

Monitoring Vegetation from Space at Extremely Fine Resolutions via Coarsely-Supervised Smooth U-Net

Joshua Fan, Di Chen, Jiaming Wen, Ying Sun, Carla Gomes. IJCAI. 2022.

Super Fine-Resolution SIF via Coarsely-Supervised UNet Regression

Joshua Fan, Di Chen, Jiaming Wen, Ying Sun, Carla Gomes. Tackling Climate Change with Machine Learning workshop at NeurIPS. 2021.

VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images

Anjany Sekuboyina, ..., Di Chen, Yiwei Bai, Brandon H Rapazzo, et al. Medical Image Analysis 2021.

CLR-DRNets: curriculum learning with restarts to1solve visual combinatorial games

Yiwei Bai, Di Chen, Carla P. Gomes. CP 2021.

Automating Crystal-Structure Phase Mapping by Combining Deep Learning with Constraint Reasoning

Di Chen, Yiwei Bai, Sebastian Ament, Wenting Zhao, Dan Guevarra, Lan Zhou, Bart Selman, R.Bruce van Dover, John M. Gregoire, Carla P. Gomes. Nature Machine Intelligence 2021.

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

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

Deep Hurdle Networks for Zero-Inflated Multi-Target Regression: Application to Multiple Species Abundance Estimation

Shufeng Kong, Junwen Bai, Jae Hee Lee, Di Chen, Andrew Allyn, Michelle Stuart, Malin Pinsky, Katherine Mills, Carla Gomes. IJCAI2020.

Deep Reasoning Networks for Unsupervised Pattern De-mixing with Constraint Reasoning

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.

Deep Multi-Species Embedding

Di Chen, Yexiang Xue, Daniel Fink, Shuo Chen, Carla Gomes. IJCAI (Oral), 2017.

Contact


   di [AT] deepreasoningai [DOT] com    chendi9412 [AT] gmail [DOT] com


    Seattle, WA 98109 USA