A Deterministic Distributed Algorithm for Reasoning with Connected Row-Convex Constraints. - Shufeng Kong; Jae Hee Lee 001; Sanjiang Li (AAMAS, 2017)

On tree-preserving constraints. - Shufeng Kong; Sanjiang Li; Yongming Li 001; Zhiguo Long (Ann. Math. Artif. Intell., 2017)

Multiagent Simple Temporal Problem: The Arc-Consistency Approach. - Shufeng Kong; Jae Hee Lee 001; Sanjiang Li (AAAI, 2018)

A new distributed algorithm for efficient generalized arc-consistency propagation. - Shufeng Kong; Jae Hee Lee 001; Sanjiang Li (Auton. Agents Multi Agent Syst., 2018)

Exploring Directional Path-Consistency for Solving Constraint Networks. - Shufeng Kong; Sanjiang Li; Michael Sioutis (Comput. J., 2018)

Exploring centralized and distributed constraint propagation algorithms for solving constraint satisfaction problems - Shufeng Kong (2018)

Disentangled Variational Autoencoder based Multi-Label Classification with Covariance-Aware Multivariate Probit Model. - Junwen Bai; Shufeng Kong; 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 001; Di Chen 001; Andrew Allyn; Michelle Stuart; Malin Pinsky; Katherine Mills; Carla P. Gomes (IJCAI, 2020)

HOT-VAE: Learning High-Order Label Correlation for Multi-Label Classification via Attention-Based Variational Autoencoders. - Wenting Zhao 002; Shufeng Kong; Junwen Bai; Daniel Fink 002; Carla P. Gomes (AAAI, 2021)

Materials Representation and Transfer Learning for Multi-Property Prediction. - Shufeng Kong; Dan Guevarra; Carla P. Gomes; John M. Gregoire (CoRR, 2021)

Pretrained Cost Model for Distributed Constraint Optimization Problems. - Yanchen Deng; Shufeng Kong; Bo An 001 (AAAI, 2022)

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

Deep Attentive Belief Propagation: Integrating Reasoning and Learning for Solving Constraint Optimization Problems. - Yanchen Deng; Shufeng Kong; Caihua Liu; Bo An 001 (NeurIPS, 2022)

Explore Data Quality Challenges Based on Data Structure of Electronic Health Records. - Caihua Liu; Guochao Alex Peng; Chaowang Lan; Shufeng Kong (HCI (5), 2023)

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 (ICMLA, 2023)

Exploring Leximin Principle for Fair Core-Selecting Combinatorial Auctions: Payment Rule Design and Implementation. - Hao Cheng 014; Shufeng Kong; Yanchen Deng; Caihua Liu; Xiaohu Wu; Bo An 001; Chongjun Wang (IJCAI, 2023)

Advancing Efficient Large-Scale Constraint Optimization Problem Solving by Integrating Machine Learning and Automated Reasoning. - Shufeng Kong (STRL@IJCAI, 2023)

IPGPT: Solving Integer Programming Problems with Sequence to Contrastive Multi-Label Learning. - Shufeng Kong; Caihua Liu; Carla P. Gomes (STRL@IJCAI, 2023)

Xtal2DoS: Attention-based Crystal to Sequence Learning for Density of States Prediction. - Junwen Bai; Yuanqi Du; Yingheng Wang; Shufeng Kong; John M. Gregoire; Carla Gomes 001 (CoRR, 2023)

Critical information quality dimensions of conversational agents for healthcare. - Caihua Liu; Guochao Peng; Shufeng Kong; Chaowang Lan; Haoliang Zhu (Inf. Res., 2023)

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

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 (HCI (36), 2024)

ILP-FORMER: Solving Integer Linear Programming with Sequence to Multi-Label Learning. - Shufeng Kong; Caihua Liu; Carla Gomes 001 (UAI, 2024)

MTCMB: A Multi-Task Benchmark Framework for Evaluating LLMs on Knowledge, Reasoning, and Safety in Traditional Chinese Medicine. - Shufeng Kong; Xingru Yang; Yuanyuan Wei 011; Zijie Wang; Hao Tang; Jiuqi Qin; Shuting Lan; Yingheng Wang; Junwen Bai; Zhuangbin Chen; Zibin Zheng; Caihua Liu; et al. (CoRR, 2025)

HeuriGym: An Agentic Benchmark for LLM-Crafted Heuristics in Combinatorial Optimization. - Hongzheng Chen; Yingheng Wang; Yaohui Cai; Hins Hu; Jiajie Li; Shirley Huang; Chenhui Deng; Rongjian Liang; Shufeng Kong; Haoxing Ren; Samitha Samaranayake; Carla P. Gomes; et al. (CoRR, 2025)