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Cong Chen

Lecturer

Degrees

PhD, The Graduate Center, CUNY

BE, Wuhan University

Scholarship and Publications

Chen, Cong, Jiaqi Yang, Changhe Yuan, and Chao Chen. Solving Multiple Inference by Minimizing Expected Loss. In Proceedings of the 10th International Conference on Probabilistic Graphical Models (PGM-20). 2020.

Chen, Cong, Changhe Yuan, and Chao Chen. Efficient Heuristic Search for M-Modes Inference. In Proceedings of the 10th International Conference on Probabilistic Graphical Models (PGM-20). 2020.

Ye, Ze, Cong Chen, Changhe Yuan, and Chao Chen. Diverse Multiple Prediction on Neural Image Reconstruction. In Proceedings of the 22nd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI-19). 2019.

Chen, Cong, and Changhe Yuan. Learning Diverse Bayesian Networks. In Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI-19). 2019.

Chen, Cong, Changhe Yuan, Ze Ye, and Chao Chen. Solving M-Modes in Loopy Graphs Using Tree Decompositions. In Proceedings of the 9th International Conference on Probabilistic Graphical Models (PGM-18). 2018.

Wu, Tingting, Alexander J. Dufford, Laura J. Egan, Melissa-Ann Mackie, Cong Chen, Changhe Yuan, Chao Chen et al. Hick–Hyman Law is Mediated by the Cognitive Control Network in the Brain. Cerebral Cortex 28.7 (2017).

Chen, Cong, Changhe Yuan, and Chao Chen. Solving M-Modes Using Heuristic Search. In Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI-16). 2016.

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Contact Information

Office: Building 4N Room 206
Office Hours

Thursday 2pm – 5pm