Shufeng Kong

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 30

Top Topics

Conversational Agents

Singleton Arc Consistency

Constraint Optimization

Top Venues

Publications

Yingheng Wang, Shufeng Kong, John M. Gregoire, Carla P. Gomes
Conformal Crystal Graph Transformer with Robust Encoding of Periodic Invariance. AAAI (2024)
Caihua Liu, Hui Zhou, Lishen Su, Yaosheng Huang, Guochao Peng, Dayou Wu, Shufeng Kong
Learning to Effectively Identify Reliable Content in Health Social Platforms with Large Language Models. HCI (36) (2024)
Hao Cheng, Shufeng Kong, Yanchen Deng, Caihua Liu, Xiaohu Wu, Bo An, Chongjun Wang
Exploring Leximin Principle for Fair Core-Selecting Combinatorial Auctions: Payment Rule Design and Implementation. CoRR (2023)
Junwen Bai, Yuanqi Du, Yingheng Wang, Shufeng Kong, John M. Gregoire, Carla Gomes
Xtal2DoS: Attention-based Crystal to Sequence Learning for Density of States Prediction. CoRR (2023)
Shufeng Kong
Advancing Efficient Large-Scale Constraint Optimization Problem Solving by Integrating Machine Learning and Automated Reasoning. STRL@IJCAI (2023)
Caihua Liu, Guochao Alex Peng, Chaowang Lan, Shufeng Kong
Explore Data Quality Challenges Based on Data Structure of Electronic Health Records. HCI (5) (2023)
Hao Cheng, Shufeng Kong, Yanchen Deng, Caihua Liu, Xiaohu Wu, Bo An, Chongjun Wang
Exploring Leximin Principle for Fair Core-Selecting Combinatorial Auctions: Payment Rule Design and Implementation. IJCAI (2023)
Shufeng Kong, Caihua Liu, Carla P. Gomes
IPGPT: Solving Integer Programming Problems with Sequence to Contrastive Multi-Label Learning. STRL@IJCAI (2023)
Caihua Liu, Guochao Peng, Shufeng Kong, Chaowang Lan, Haoliang Zhu
Critical information quality dimensions of conversational agents for healthcare. Inf. Res. 28 (4) (2023)
Yimeng Min, Ming-Chiang Chang, Shufeng Kong, John M. Gregoire, R. Bruce van Dover, Michael O. Thompson, Carla P. Gomes
Physically Informed Graph-Based Deep Reasoning Net for Efficient Combinatorial Phase Mapping. ICMLA (2023)
Yanchen Deng, Shufeng Kong, Caihua Liu, Bo An
Deep Attentive Belief Propagation: Integrating Reasoning and Learning for Solving Constraint Optimization Problems. CoRR (2022)
Yanchen Deng, Shufeng Kong, Bo An
Pretrained Cost Model for Distributed Constraint Optimization Problems. AAAI (2022)
Yanchen Deng, Shufeng Kong, Caihua Liu, Bo An
Deep Attentive Belief Propagation: Integrating Reasoning and Learning for Solving Constraint Optimization Problems. NeurIPS (2022)
Junwen Bai, Shufeng Kong, Carla P. Gomes
Gaussian Mixture Variational Autoencoder with Contrastive Learning for Multi-Label Classification. ICML (2022)
Shufeng Kong, Dan Guevarra, Carla P. Gomes, John M. Gregoire
Materials Representation and Transfer Learning for Multi-Property Prediction. CoRR (2021)
Junwen Bai, Shufeng Kong, Carla P. Gomes
Gaussian Mixture Variational Autoencoder with Contrastive Learning for Multi-Label Classification. CoRR (2021)
Wenting Zhao, Shufeng Kong, Junwen Bai, Daniel Fink, Carla P. Gomes
HOT-VAE: Learning High-Order Label Correlation for Multi-Label Classification via Attention-Based Variational Autoencoders. CoRR (2021)
Yanchen Deng, Shufeng Kong, Bo An
Pretrained Cost Model for Distributed Constraint Optimization Problems. CoRR (2021)
Wenting Zhao, Shufeng Kong, Junwen Bai, Daniel Fink, Carla P. Gomes
HOT-VAE: Learning High-Order Label Correlation for Multi-Label Classification via Attention-Based Variational Autoencoders. AAAI (2021)
Junwen Bai, Shufeng Kong, Carla P. Gomes
Disentangled Variational Autoencoder based Multi-Label Classification with Covariance-Aware Multivariate Probit Model. IJCAI (2020)
Shufeng Kong, Junwen Bai, Jae Hee Lee, Di Chen, Andrew Allyn, Michelle Stuart, Malin Pinsky, Katherine Mills, Carla P. Gomes
Deep Hurdle Networks for Zero-Inflated Multi-Target Regression: Application to Multiple Species Abundance Estimation. CoRR (2020)
Shufeng Kong, Junwen Bai, Jae Hee Lee, Di Chen, Andrew Allyn, Michelle Stuart, Malin Pinsky, Katherine Mills, Carla P. Gomes
Deep Hurdle Networks for Zero-Inflated Multi-Target Regression: Application to Multiple Species Abundance Estimation. IJCAI (2020)
Junwen Bai, Shufeng Kong, Carla P. Gomes
Disentangled Variational Autoencoder based Multi-Label Classification with Covariance-Aware Multivariate Probit Model. CoRR (2020)
Shufeng Kong, Sanjiang Li, Michael Sioutis
Exploring Directional Path-Consistency for Solving Constraint Networks. Comput. J. 61 (9) (2018)
Shufeng Kong, Jae Hee Lee, Sanjiang Li
A new distributed algorithm for efficient generalized arc-consistency propagation. Auton. Agents Multi Agent Syst. 32 (5) (2018)
Shufeng Kong, Jae Hee Lee, Sanjiang Li
Multiagent Simple Temporal Problem: The Arc-Consistency Approach. AAAI (2018)
Shufeng Kong, Sanjiang Li, Yongming Li, Zhiguo Long
On tree-preserving constraints. Ann. Math. Artif. Intell. 81 (3-4) (2017)
Shufeng Kong, Jae Hee Lee, Sanjiang Li
A Deterministic Distributed Algorithm for Reasoning with Connected Row-Convex Constraints. AAMAS (2017)
Shufeng Kong, Sanjiang Li, Michael Sioutis
Exploring Directional Path-Consistency for Solving Constraint Networks. CoRR (2017)
Shufeng Kong, Jae Hee Lee, Sanjiang Li
Multiagent Simple Temporal Problem: The Arc-Consistency Approach. CoRR (2017)
Shufeng Kong, Sanjiang Li, Yongming Li, Zhiguo Long
On Tree-Preserving Constraints. CP (2015)