Di Chen

Publication Activity (10 Years)

Years Active: 2016-2022
Publications (10 Years): 22

Top Topics

Automatically Detecting

Multi Dimensional Time Series

Top Venues

Publications

Joshua Fan, Di Chen, Jiaming Wen, Ying Sun, Carla P. Gomes
Monitoring Vegetation From Space at Extremely Fine Resolutions via Coarsely-Supervised Smooth U-Net. IJCAI (2022)
Joshua Fan, Di Chen, Jiaming Wen, Ying Sun, Carla P. Gomes
Monitoring Vegetation From Space at Extremely Fine Resolutions via Coarsely-Supervised Smooth U-Net. CoRR (2022)
Di Chen, Yada Zhu, Miao Liu, Jianbo Li
Cost-Efficient Reinforcement Learning for Optimal Trade Execution on Dynamic Market Environment. ICAIF (2022)
Di Chen, Yiwei Bai, Sebastian Ament, Wenting Zhao, Dan Guevarra, Lan Zhou, Bart Selman, R. Bruce van Dover, John M. Gregoire, Carla P. Gomes
Automating crystal-structure phase mapping by combining deep learning with constraint reasoning. Nat. Mach. Intell. 3 (9) (2021)
Yiwei Bai, Di Chen, Carla P. Gomes
CLR-DRNets: Curriculum Learning with Restarts to Solve Visual Combinatorial Games. CP (2021)
Di Chen, Yiwei Bai, Sebastian Ament, Wenting Zhao, Dan Guevarra, Lan Zhou, Bart Selman, R. Bruce van Dover, John M. Gregoire, Carla P. Gomes
Automating Crystal-Structure Phase Mapping: Combining Deep Learning with Constraint Reasoning. CoRR (2021)
Di Chen, Yiwei Bai, Wenting Zhao, Sebastian Ament, John M. Gregoire, Carla P. Gomes
Deep Reasoning Networks for Unsupervised Pattern De-mixing with Constraint Reasoning. ICML (2020)
Shufeng Kong, Junwen Bai, Jae Hee Lee, Di Chen, Andrew Allyn, Michelle Stuart, Malin Pinsky, Katherine Mills, Carla P. Gomes
Deep Hurdle Networks for Zero-Inflated Multi-Target Regression: Application to Multiple Species Abundance Estimation. CoRR (2020)
Shufeng Kong, Junwen Bai, Jae Hee Lee, Di Chen, Andrew Allyn, Michelle Stuart, Malin Pinsky, Katherine Mills, Carla P. Gomes
Deep Hurdle Networks for Zero-Inflated Multi-Target Regression: Application to Multiple Species Abundance Estimation. IJCAI (2020)
Di Chen, Yada Zhu, Xiaodong Cui, Carla P. Gomes
Task-Based Learning via Task-Oriented Prediction Network with Applications in Finance. IJCAI (2020)
Di Chen, Yiwei Bai, Wenting Zhao, Sebastian Ament, John M. Gregoire, Carla P. Gomes
Deep Reasoning Networks: Thinking Fast and Slow. CoRR (2019)
Johan Bjorck, Brendan H. Rappazzo, Di Chen, Richard Bernstein, Peter H. Wrege, Carla P. Gomes
Automatic Detection and Compression for Passive Acoustic Monitoring of the African Forest Elephant. AAAI (2019)
Johan Bjorck, Brendan Rappazzo, Di Chen, Richard Bernstein, Peter H. Wrege, Carla P. Gomes
Automatic Detection and Compression for Passive Acoustic Monitoring of the African Forest Elephant. CoRR (2019)
Di Chen, Yada Zhu, Xiaodong Cui, Carla P. Gomes
Task-Based Learning via Task-Oriented Prediction Network. CoRR (2019)
Di Chen, Carla P. Gomes
Bias Reduction via End-to-End Shift Learning: Application to Citizen Science. AAAI (2019)
Di Chen, Carla P. Gomes
Bias Reduction via End-to-End Shift Learning: Application to Citizen Science. CoRR (2018)
Di Chen, Yexiang Xue, Carla P. Gomes
End-to-End Learning for the Deep Multivariate Probit Model. ICML (2018)
Luming Tang, Yexiang Xue, Di Chen, Carla P. Gomes
Multi-Entity Dependence Learning With Rich Context via Conditional Variational Auto-Encoder. AAAI (2018)
Di Chen, Yexiang Xue, Carla P. Gomes
End-to-End Learning for the Deep Multivariate Probit Model. CoRR (2018)
Di Chen, Yexiang Xue, Daniel Fink, Shuo Chen, Carla P. Gomes
Deep Multi-species Embedding. IJCAI (2017)
Luming Tang, Yexiang Xue, Di Chen, Carla P. Gomes
Multi-Entity Dependence Learning with Rich Context via Conditional Variational Auto-encoder. CoRR (2017)
Di Chen, Yexiang Xue, Shuo Chen, Daniel Fink, Carla P. Gomes
Deep Multi-Species Embedding. CoRR (2016)