Shufeng Kong - RankMe

37 papers A* 10A 3C 1Journal 18Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	MIRNet: Integrating Constrained Graph-Based Reasoning with Pre-training for Diagnostic Medical Imaging. AAAI 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
2025	J	`jnl`	HeuriGym: An Agentic Benchmark for LLM-Crafted Heuristics in Combinatorial Optimization. CoRR 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, Zhiru Zhang
2025	J	`jnl`	MIRNet: Integrating Constrained Graph-Based Reasoning with Pre-training for Diagnostic Medical Imaging. CoRR 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
2025	J	`jnl`	MTCMB: A Multi-Task Benchmark Framework for Evaluating LLMs on Knowledge, Reasoning, and Safety in Traditional Chinese Medicine. CoRR Shufeng Kong, Xingru Yang, Yuanyuan Wei, Zijie Wang, Hao Tang, Jiuqi Qin, Shuting Lan, Yingheng Wang, Junwen Bai, Zhuangbin Chen, Zibin Zheng, Caihua Liu, Hao Liang
2024	A*	`conf`	Conformal Crystal Graph Transformer with Robust Encoding of Periodic Invariance. AAAI Yingheng Wang, Shufeng Kong, John M. Gregoire, Carla P. Gomes
2024	A	`conf`	ILP-FORMER: Solving Integer Linear Programming with Sequence to Multi-Label Learning. UAI Shufeng Kong, Caihua Liu, Carla Gomes
2024	—	`conf`	Learning to Effectively Identify Reliable Content in Health Social Platforms with Large Language Models. HCI (36) Caihua Liu, Hui Zhou, Lishen Su, Yaosheng Huang, Guochao Peng, Dayou Wu, Shufeng Kong
2023	—	`conf`	Advancing Efficient Large-Scale Constraint Optimization Problem Solving by Integrating Machine Learning and Automated Reasoning. STRL@IJCAI Shufeng Kong
2023	J	`jnl`	Critical information quality dimensions of conversational agents for healthcare. Inf. Res. Caihua Liu, Guochao Peng, Shufeng Kong, Chaowang Lan, Haoliang Zhu
2023	—	`conf`	Explore Data Quality Challenges Based on Data Structure of Electronic Health Records. HCI (5) Caihua Liu, Guochao Alex Peng, Chaowang Lan, Shufeng Kong
2023	A*	`conf`	Exploring Leximin Principle for Fair Core-Selecting Combinatorial Auctions: Payment Rule Design and Implementation. IJCAI Hao Cheng, Shufeng Kong, Yanchen Deng, Caihua Liu, Xiaohu Wu, Bo An, Chongjun Wang
2023	J	`jnl`	Exploring Leximin Principle for Fair Core-Selecting Combinatorial Auctions: Payment Rule Design and Implementation. CoRR Hao Cheng, Shufeng Kong, Yanchen Deng, Caihua Liu, Xiaohu Wu, Bo An, Chongjun Wang
2023	—	`conf`	IPGPT: Solving Integer Programming Problems with Sequence to Contrastive Multi-Label Learning. STRL@IJCAI Shufeng Kong, Caihua Liu, Carla P. Gomes
2023	C	`conf`	Physically Informed Graph-Based Deep Reasoning Net for Efficient Combinatorial Phase Mapping. ICMLA Yimeng Min, Ming-Chiang Chang, Shufeng Kong, John M. Gregoire, R. Bruce van Dover, Michael O. Thompson, Carla P. Gomes
2023	J	`jnl`	Xtal2DoS: Attention-based Crystal to Sequence Learning for Density of States Prediction. CoRR Junwen Bai, Yuanqi Du, Yingheng Wang, Shufeng Kong, John M. Gregoire, Carla Gomes
2022	A*	`conf`	Deep Attentive Belief Propagation: Integrating Reasoning and Learning for Solving Constraint Optimization Problems. NeurIPS Yanchen Deng, Shufeng Kong, Caihua Liu, Bo An
2022	J	`jnl`	Deep Attentive Belief Propagation: Integrating Reasoning and Learning for Solving Constraint Optimization Problems. CoRR Yanchen Deng, Shufeng Kong, Caihua Liu, Bo An
2022	A*	`conf`	Gaussian Mixture Variational Autoencoder with Contrastive Learning for Multi-Label Classification. ICML Junwen Bai, Shufeng Kong, Carla P. Gomes
2022	A*	`conf`	Pretrained Cost Model for Distributed Constraint Optimization Problems. AAAI Yanchen Deng, Shufeng Kong, Bo An
2021	J	`jnl`	Gaussian Mixture Variational Autoencoder with Contrastive Learning for Multi-Label Classification. CoRR Junwen Bai, Shufeng Kong, Carla P. Gomes
2021	A*	`conf`	HOT-VAE: Learning High-Order Label Correlation for Multi-Label Classification via Attention-Based Variational Autoencoders. AAAI Wenting Zhao, Shufeng Kong, Junwen Bai, Daniel Fink, Carla P. Gomes
2021	J	`jnl`	HOT-VAE: Learning High-Order Label Correlation for Multi-Label Classification via Attention-Based Variational Autoencoders. CoRR Wenting Zhao, Shufeng Kong, Junwen Bai, Daniel Fink, Carla P. Gomes
2021	J	`jnl`	Materials Representation and Transfer Learning for Multi-Property Prediction. CoRR Shufeng Kong, Dan Guevarra, Carla P. Gomes, John M. Gregoire
2021	J	`jnl`	Pretrained Cost Model for Distributed Constraint Optimization Problems. CoRR Yanchen Deng, Shufeng Kong, Bo An
2020	A*	`conf`	Deep Hurdle Networks for Zero-Inflated Multi-Target Regression: Application to Multiple Species Abundance Estimation. IJCAI Shufeng Kong, Junwen Bai, Jae Hee Lee, Di Chen, Andrew Allyn, Michelle Stuart, Malin Pinsky, Katherine Mills, Carla P. Gomes
2020	J	`jnl`	Deep Hurdle Networks for Zero-Inflated Multi-Target Regression: Application to Multiple Species Abundance Estimation. CoRR Shufeng Kong, Junwen Bai, Jae Hee Lee, Di Chen, Andrew Allyn, Michelle Stuart, Malin Pinsky, Katherine Mills, Carla P. Gomes
2020	A*	`conf`	Disentangled Variational Autoencoder based Multi-Label Classification with Covariance-Aware Multivariate Probit Model. IJCAI Junwen Bai, Shufeng Kong, Carla P. Gomes
2020	J	`jnl`	Disentangled Variational Autoencoder based Multi-Label Classification with Covariance-Aware Multivariate Probit Model. CoRR Junwen Bai, Shufeng Kong, Carla P. Gomes
2018	J	`jnl`	A new distributed algorithm for efficient generalized arc-consistency propagation. Auton. Agents Multi Agent Syst. Shufeng Kong, Jae Hee Lee, Sanjiang Li
2018	J	`jnl`	Exploring Directional Path-Consistency for Solving Constraint Networks. Comput. J. Shufeng Kong, Sanjiang Li, Michael Sioutis
2018	—	`—`	Exploring centralized and distributed constraint propagation algorithms for solving constraint satisfaction problems Shufeng Kong
2018	A*	`conf`	Multiagent Simple Temporal Problem: The Arc-Consistency Approach. AAAI Shufeng Kong, Jae Hee Lee, Sanjiang Li
2017	A	`conf`	A Deterministic Distributed Algorithm for Reasoning with Connected Row-Convex Constraints. AAMAS Shufeng Kong, Jae Hee Lee, Sanjiang Li
2017	J	`jnl`	Exploring Directional Path-Consistency for Solving Constraint Networks. CoRR Shufeng Kong, Sanjiang Li, Michael Sioutis
2017	J	`jnl`	Multiagent Simple Temporal Problem: The Arc-Consistency Approach. CoRR Shufeng Kong, Jae Hee Lee, Sanjiang Li
2017	J	`jnl`	On tree-preserving constraints. Ann. Math. Artif. Intell. Shufeng Kong, Sanjiang Li, Yongming Li, Zhiguo Long
2015	A	`conf`	On Tree-Preserving Constraints. CP Shufeng Kong, Sanjiang Li, Yongming Li, Zhiguo Long