Kong, Shufeng

12 publications

AAAI 2024 Conformal Crystal Graph Transformer with Robust Encoding of Periodic Invariance Yingheng Wang, Shufeng Kong, John M. Gregoire, Carla P. Gomes

UAI 2024 ILP-FORMER: Solving Integer Linear Programming with Sequence to Multi-Label Learning Shufeng Kong, Caihua Liu, Carla Gomes

IJCAI 2023 Exploring Leximin Principle for Fair Core-Selecting Combinatorial Auctions: Payment Rule Design and Implementation Hao Cheng, Shufeng Kong, Yanchen Deng, Caihua Liu, Xiaohu Wu, Bo An, Chongjun Wang

NeurIPS 2022 Deep Attentive Belief Propagation: Integrating Reasoning and Learning for Solving Constraint Optimization Problems Yanchen Deng, Shufeng Kong, Caihua Liu, Bo An

ICML 2022 Gaussian Mixture Variational Autoencoder with Contrastive Learning for Multi-Label Classification Junwen Bai, Shufeng Kong, Carla P Gomes

AAAI 2022 Pretrained Cost Model for Distributed Constraint Optimization Problems Yanchen Deng, Shufeng Kong, Bo An

NeurIPSW 2022 Xtal2DoS: Attention-Based Crystal to Sequence Learning for Density of States Prediction Junwen Bai, Yuanqi Du, Yingheng Wang, Shufeng Kong, John Gregoire, Carla P Gomes

NeurIPSW 2021 Gaussian Mixture Variational Autoencoder with Contrastive Learning for Multi-Label Classification Junwen Bai, Shufeng Kong, Carla P Gomes

AAAI 2021 HOT-VAE: Learning High-Order Label Correlation for Multi-Label Classification via Attention-Based Variational Autoencoders Wenting Zhao, Shufeng Kong, Junwen Bai, Daniel Fink, Carla P. Gomes

IJCAI 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

IJCAI 2020 Disentangled Variational Autoencoder Based Multi-Label Classification with Covariance-Aware Multivariate Probit Model Junwen Bai, Shufeng Kong, Carla P. Gomes

AAAI 2018 Multiagent Simple Temporal Problem: The Arc-Consistency Approach Shufeng Kong, Jae Hee Lee, Sanjiang Li