Di Chen

According to our database, Di Chen authored at least 16 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

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

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

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

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

Di Chen, Yada Zhu, Miao Liu, Jianbo Li

Proceedings of the 3rd ACM International Conference on AI in Finance, 2022

2021

Combining Deep Learning with Reasoning: from Mapping Species to Solving Games and Crystal Structures.

Di Chen

PhD thesis, 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

Nat. Mach. Intell., 2021

Automating Crystal-Structure Phase Mapping: 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

CoRR, 2021

CLR-DRNets: Curriculum Learning with Restarts to Solve Visual Combinatorial Games.

Yiwei Bai, Di Chen, Carla P. Gomes

Proceedings of the 27th International Conference on Principles and Practice of Constraint Programming, 2021

2020

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 P. Gomes

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

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

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

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

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

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

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Task-Based Learning via Task-Oriented Prediction Network.

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

CoRR, 2019

Deep Reasoning Networks: Thinking Fast and Slow.

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

CoRR, 2019

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

Di Chen, Carla P. Gomes

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

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

Johan Bjorck, Brendan H. Rappazzo, Di Chen, Richard Bernstein, Peter H. Wrege, Carla P. Gomes

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

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

Di Chen, Yexiang Xue, Carla P. Gomes

Proceedings of the 35th International Conference on Machine Learning, 2018

Multi-Entity Dependence Learning With Rich Context via Conditional Variational Auto-Encoder.

Luming Tang, Yexiang Xue, Di Chen, Carla P. Gomes

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Deep Multi-species Embedding.

Di Chen, Yexiang Xue, Daniel Fink, Shuo Chen, Carla P. Gomes

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017