Shufeng Kong

According to our database, Shufeng Kong authored at least 22 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

Proceedings of the Distributed, Ambient and Pervasive Interactions, 2024

Conformal Crystal Graph Transformer with Robust Encoding of Periodic Invariance.

Yingheng Wang, Shufeng Kong, John M. Gregoire, Carla P. Gomes

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Critical information quality dimensions of conversational agents for healthcare.

Caihua Liu, Guochao Peng, Shufeng Kong, Chaowang Lan, Haoliang Zhu

Inf. Res., December, 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

CoRR, 2023

IPGPT: Solving Integer Programming Problems with Sequence to Contrastive Multi-Label Learning.

Shufeng Kong, Caihua Liu, Carla P. Gomes

Proceedings of the 2nd International Workshop on Spatio-Temporal Reasoning and Learning (STRL 2023) co-located with the 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023), 2023

Advancing Efficient Large-Scale Constraint Optimization Problem Solving by Integrating Machine Learning and Automated Reasoning.

Shufeng Kong

Proceedings of the 2nd International Workshop on Spatio-Temporal Reasoning and Learning (STRL 2023) co-located with the 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023), 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

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 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

Proceedings of the International Conference on Machine Learning and Applications, 2023

Explore Data Quality Challenges Based on Data Structure of Electronic Health Records.

Caihua Liu, Guochao Alex Peng, Chaowang Lan, Shufeng Kong

Proceedings of the Human Interface and the Management of Information, 2023

2022

Deep Attentive Belief Propagation: Integrating Reasoning and Learning for Solving Constraint Optimization Problems.

Yanchen Deng, Shufeng Kong, Caihua Liu, Bo An

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Gaussian Mixture Variational Autoencoder with Contrastive Learning for Multi-Label Classification.

Junwen Bai, Shufeng Kong, Carla P. Gomes

Proceedings of the International Conference on Machine Learning, 2022

Pretrained Cost Model for Distributed Constraint Optimization Problems.

Yanchen Deng, Shufeng Kong, Bo An

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Materials Representation and Transfer Learning for Multi-Property Prediction.

Shufeng Kong, Dan Guevarra, Carla P. Gomes, John M. Gregoire

CoRR, 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

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

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

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Disentangled Variational Autoencoder based Multi-Label Classification with Covariance-Aware Multivariate Probit Model.

Junwen Bai, Shufeng Kong, Carla P. Gomes

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2018

Exploring centralized and distributed constraint propagation algorithms for solving constraint satisfaction problems

Shufeng Kong

PhD thesis, 2018

Exploring Directional Path-Consistency for Solving Constraint Networks.

Shufeng Kong, Sanjiang Li, Michael Sioutis

Comput. J., 2018

A new distributed algorithm for efficient generalized arc-consistency propagation.

Shufeng Kong, Jae Hee Lee, Sanjiang Li

Auton. Agents Multi Agent Syst., 2018

Multiagent Simple Temporal Problem: The Arc-Consistency Approach.

Shufeng Kong, Jae Hee Lee, Sanjiang Li

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

On tree-preserving constraints.

Shufeng Kong, Sanjiang Li, Yongming Li, Zhiguo Long

Ann. Math. Artif. Intell., 2017

A Deterministic Distributed Algorithm for Reasoning with Connected Row-Convex Constraints.

Shufeng Kong, Jae Hee Lee, Sanjiang Li

Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017