| 2026 | AAAI | MIRNet: Integrating Constrained Graph-Based Reasoning with Pre-training for Diagnostic Medical Imaging. | Shufeng Kong, Zijie Wang, Nuan Cui, Hao Tang, Yihan Meng, Yuanyuan Wei, Feifan Chen, Yingheng Wang, Zhuo Cai, Yaonan Wang, Yulong Zhang, Yuzheng Li, Zibin Zheng, Caihua Liu, Hao Liang |
| 2024 | AAAI | Conformal Crystal Graph Transformer with Robust Encoding of Periodic Invariance. | Yingheng Wang, Shufeng Kong, John M. Gregoire, Carla P. Gomes |
| 2024 | HCI | Learning to Effectively Identify Reliable Content in Health Social Platforms with Large Language Models. | Caihua Liu, Hui Zhou, Lishen Su, Yaosheng Huang, Guochao Peng, Dayou Wu, Shufeng Kong |
| 2024 | UAI | ILP-FORMER: Solving Integer Linear Programming with Sequence to Multi-Label Learning. | Shufeng Kong, Caihua Liu, Carla Gomes |
| 2023 | HCI | Explore Data Quality Challenges Based on Data Structure of Electronic Health Records. | Caihua Liu, Guochao Alex Peng, Chaowang Lan, Shufeng Kong |
| 2023 | ICMLA | Physically Informed Graph-Based Deep Reasoning Net for Efficient Combinatorial Phase Mapping. | Yimeng Min, Ming-Chiang Chang, Shufeng Kong, John M. Gregoire, R. Bruce van Dover, Michael O. Thompson, Carla P. Gomes |
| 2023 | IJCAI | 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 |
| 2023 | IJCAI | Advancing Efficient Large-Scale Constraint Optimization Problem Solving by Integrating Machine Learning and Automated Reasoning. | Shufeng Kong |
| 2023 | IJCAI | IPGPT: Solving Integer Programming Problems with Sequence to Contrastive Multi-Label Learning. | Shufeng Kong, Caihua Liu, Carla P. Gomes |
| 2022 | AAAI | Pretrained Cost Model for Distributed Constraint Optimization Problems. | Yanchen Deng, Shufeng Kong, Bo An |
| 2022 | ICML | Gaussian Mixture Variational Autoencoder with Contrastive Learning for Multi-Label Classification. | Junwen Bai, Shufeng Kong, Carla P. Gomes |
| 2021 | AAAI | 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 |
| 2020 | IJCAI | Disentangled Variational Autoencoder based Multi-Label Classification with Covariance-Aware Multivariate Probit Model. | Junwen Bai, Shufeng Kong, Carla P. Gomes |
| 2020 | IJCAI | 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 |
| 2018 | AAAI | Multiagent Simple Temporal Problem: The Arc-Consistency Approach. | Shufeng Kong, Jae Hee Lee, Sanjiang Li |
| 2015 | CP | On Tree-Preserving Constraints. | Shufeng Kong, Sanjiang Li, Yongming Li, Zhiguo Long |