Di Chen

23 papers A* 9A 1Journal 11Unranked 1
YearRankTypeTitle / Venue / Authors
2022 — conf
Cost-Efficient Reinforcement Learning for Optimal Trade Execution on Dynamic Market Environment.
ICAIF
Di Chen, Yada Zhu, Miao Liu, Jianbo Li
2022 A* conf
Monitoring Vegetation From Space at Extremely Fine Resolutions via Coarsely-Supervised Smooth U-Net.
IJCAI
Joshua Fan, Di Chen, Jiaming Wen, Ying Sun, Carla P. Gomes
2022 J jnl
Monitoring Vegetation From Space at Extremely Fine Resolutions via Coarsely-Supervised Smooth U-Net.
CoRR
Joshua Fan, Di Chen, Jiaming Wen, Ying Sun, Carla P. Gomes
2021 J jnl
Automating Crystal-Structure Phase Mapping: Combining Deep Learning with Constraint Reasoning.
CoRR
Di Chen, Yiwei Bai, Sebastian Ament, Wenting Zhao, Dan Guevarra, Lan Zhou, Bart Selman, R. Bruce van Dover, John M. Gregoire, Carla P. Gomes
2021 J jnl
Automating crystal-structure phase mapping by combining deep learning with constraint reasoning.
Nat. Mach. Intell.
Di Chen, Yiwei Bai, Sebastian Ament, Wenting Zhao, Dan Guevarra, Lan Zhou, Bart Selman, R. Bruce van Dover, John M. Gregoire, Carla P. Gomes
2021 A conf
CLR-DRNets: Curriculum Learning with Restarts to Solve Visual Combinatorial Games.
CP
Yiwei Bai, Di Chen, Carla P. Gomes
2021 — —
Combining Deep Learning with Reasoning: from Mapping Species to Solving Games and Crystal Structures.
Di Chen
2020 A* conf
Deep Hurdle Networks for Zero-Inflated Multi-Target Regression: Application to Multiple Species Abundance Estimation.
IJCAI
Shufeng Kong, Junwen Bai, Jae Hee Lee, Di Chen, Andrew Allyn, Michelle Stuart, Malin Pinsky, Katherine Mills, Carla P. Gomes
2020 J jnl
Deep Hurdle Networks for Zero-Inflated Multi-Target Regression: Application to Multiple Species Abundance Estimation.
CoRR
Shufeng Kong, Junwen Bai, Jae Hee Lee, Di Chen, Andrew Allyn, Michelle Stuart, Malin Pinsky, Katherine Mills, Carla P. Gomes
2020 A* conf
Deep Reasoning Networks for Unsupervised Pattern De-mixing with Constraint Reasoning.
ICML
Di Chen, Yiwei Bai, Wenting Zhao, Sebastian Ament, John M. Gregoire, Carla P. Gomes
2020 A* conf
Task-Based Learning via Task-Oriented Prediction Network with Applications in Finance.
IJCAI
Di Chen, Yada Zhu, Xiaodong Cui, Carla P. Gomes
2019 A* conf
Automatic Detection and Compression for Passive Acoustic Monitoring of the African Forest Elephant.
AAAI
Johan Bjorck, Brendan H. Rappazzo, Di Chen, Richard Bernstein, Peter H. Wrege, Carla P. Gomes
2019 J jnl
Automatic Detection and Compression for Passive Acoustic Monitoring of the African Forest Elephant.
CoRR
Johan Bjorck, Brendan Rappazzo, Di Chen, Richard Bernstein, Peter H. Wrege, Carla P. Gomes
2019 A* conf
Bias Reduction via End-to-End Shift Learning: Application to Citizen Science.
AAAI
Di Chen, Carla P. Gomes
2019 J jnl
Deep Reasoning Networks: Thinking Fast and Slow.
CoRR
Di Chen, Yiwei Bai, Wenting Zhao, Sebastian Ament, John M. Gregoire, Carla P. Gomes
2019 J jnl
Task-Based Learning via Task-Oriented Prediction Network.
CoRR
Di Chen, Yada Zhu, Xiaodong Cui, Carla P. Gomes
2018 J jnl
Bias Reduction via End-to-End Shift Learning: Application to Citizen Science.
CoRR
Di Chen, Carla P. Gomes
2018 A* conf
End-to-End Learning for the Deep Multivariate Probit Model.
ICML
Di Chen, Yexiang Xue, Carla P. Gomes
2018 J jnl
End-to-End Learning for the Deep Multivariate Probit Model.
CoRR
Di Chen, Yexiang Xue, Carla P. Gomes
2018 A* conf
Multi-Entity Dependence Learning With Rich Context via Conditional Variational Auto-Encoder.
AAAI
Luming Tang, Yexiang Xue, Di Chen, Carla P. Gomes
2017 A* conf
Deep Multi-species Embedding.
IJCAI
Di Chen, Yexiang Xue, Daniel Fink, Shuo Chen, Carla P. Gomes
2017 J jnl
Multi-Entity Dependence Learning with Rich Context via Conditional Variational Auto-encoder.
CoRR
Luming Tang, Yexiang Xue, Di Chen, Carla P. Gomes
2016 J jnl
Deep Multi-Species Embedding.
CoRR
Di Chen, Yexiang Xue, Shuo Chen, Daniel Fink, Carla P. Gomes