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Shufeng Kong
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2020 – today
- 2024
- [c16]Yingheng Wang, Shufeng Kong, John M. Gregoire, Carla P. Gomes:
Conformal Crystal Graph Transformer with Robust Encoding of Periodic Invariance. AAAI 2024: 283-291 - [c15]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: 55-67 - 2023
- [j4]Caihua Liu, Guochao Peng, Shufeng Kong, Chaowang Lan, Haoliang Zhu:
Critical information quality dimensions of conversational agents for healthcare. Inf. Res. 28(4): 18-42 (2023) - [c14]Caihua Liu, Guochao Alex Peng, Chaowang Lan, Shufeng Kong:
Explore Data Quality Challenges Based on Data Structure of Electronic Health Records. HCI (5) 2023: 236-247 - [c13]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: 392-399 - [c12]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: 2581-2588 - [c11]Shufeng Kong:
Advancing Efficient Large-Scale Constraint Optimization Problem Solving by Integrating Machine Learning and Automated Reasoning. STRL@IJCAI 2023 - [c10]Shufeng Kong, Caihua Liu, Carla P. Gomes:
IPGPT: Solving Integer Programming Problems with Sequence to Contrastive Multi-Label Learning. STRL@IJCAI 2023 - [i11]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 abs/2302.01486 (2023) - [i10]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 abs/2312.06443 (2023) - 2022
- [c9]Yanchen Deng, Shufeng Kong, Bo An:
Pretrained Cost Model for Distributed Constraint Optimization Problems. AAAI 2022: 9331-9340 - [c8]Junwen Bai, Shufeng Kong, Carla P. Gomes:
Gaussian Mixture Variational Autoencoder with Contrastive Learning for Multi-Label Classification. ICML 2022: 1383-1398 - [c7]Yanchen Deng, Shufeng Kong, Caihua Liu, Bo An:
Deep Attentive Belief Propagation: Integrating Reasoning and Learning for Solving Constraint Optimization Problems. NeurIPS 2022 - [i9]Yanchen Deng, Shufeng Kong, Caihua Liu, Bo An:
Deep Attentive Belief Propagation: Integrating Reasoning and Learning for Solving Constraint Optimization Problems. CoRR abs/2209.12000 (2022) - 2021
- [c6]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: 15016-15024 - [i8]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 abs/2103.06375 (2021) - [i7]Shufeng Kong, Dan Guevarra, Carla P. Gomes, John M. Gregoire:
Materials Representation and Transfer Learning for Multi-Property Prediction. CoRR abs/2106.02225 (2021) - [i6]Junwen Bai, Shufeng Kong, Carla P. Gomes:
Gaussian Mixture Variational Autoencoder with Contrastive Learning for Multi-Label Classification. CoRR abs/2112.00976 (2021) - [i5]Yanchen Deng, Shufeng Kong, Bo An:
Pretrained Cost Model for Distributed Constraint Optimization Problems. CoRR abs/2112.04187 (2021) - 2020
- [c5]Junwen Bai, Shufeng Kong, Carla P. Gomes:
Disentangled Variational Autoencoder based Multi-Label Classification with Covariance-Aware Multivariate Probit Model. IJCAI 2020: 4313-4321 - [c4]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: 4375-4381 - [i4]Junwen Bai, Shufeng Kong, Carla P. Gomes:
Disentangled Variational Autoencoder based Multi-Label Classification with Covariance-Aware Multivariate Probit Model. CoRR abs/2007.06126 (2020) - [i3]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 abs/2010.16040 (2020)
2010 – 2019
- 2018
- [b1]Shufeng Kong:
Exploring centralized and distributed constraint propagation algorithms for solving constraint satisfaction problems. University of Technology Sydney, Australia, 2018 - [j3]Shufeng Kong, Jae Hee Lee, Sanjiang Li:
A new distributed algorithm for efficient generalized arc-consistency propagation. Auton. Agents Multi Agent Syst. 32(5): 569-601 (2018) - [j2]Shufeng Kong, Sanjiang Li, Michael Sioutis:
Exploring Directional Path-Consistency for Solving Constraint Networks. Comput. J. 61(9): 1338-1350 (2018) - [c3]Shufeng Kong, Jae Hee Lee, Sanjiang Li:
Multiagent Simple Temporal Problem: The Arc-Consistency Approach. AAAI 2018: 6219-6226 - 2017
- [j1]Shufeng Kong, Sanjiang Li, Yongming Li, Zhiguo Long:
On tree-preserving constraints. Ann. Math. Artif. Intell. 81(3-4): 241-271 (2017) - [c2]Shufeng Kong, Jae Hee Lee, Sanjiang Li:
A Deterministic Distributed Algorithm for Reasoning with Connected Row-Convex Constraints. AAMAS 2017: 203-211 - [i2]Shufeng Kong, Sanjiang Li, Michael Sioutis:
Exploring Directional Path-Consistency for Solving Constraint Networks. CoRR abs/1708.05522 (2017) - [i1]Shufeng Kong, Jae Hee Lee, Sanjiang Li:
Multiagent Simple Temporal Problem: The Arc-Consistency Approach. CoRR abs/1711.08151 (2017) - 2015
- [c1]Shufeng Kong, Sanjiang Li, Yongming Li, Zhiguo Long:
On Tree-Preserving Constraints. CP 2015: 244-261
Coauthor Index
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last updated on 2024-08-10 00:30 CEST by the dblp team
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