| 2026 | AAAI | Dual-Kernel Graph Community Contrastive Learning. | Xiang Chen, Kun Yue, Wenjie Liu, Zhenyu Zhang, Liang Duan |
| 2026 | ACL | TaxPraBen: A Scalable Benchmark for Structured Evaluation of LLMs in Chinese Real-World Tax Practice. | Gang Hu, Yating Chen, Haiyan Ding, Wang Gao, Jiajia Huang, Min Peng, Qianqian Xie, Kun Yue |
| 2026 | ACL | Dissecting Failure Dynamics in Large Language Model Reasoning. | Wei Zhu, Jian Zhang, Lixing Yu, Kun Yue, Zhiwen Tang |
| 2026 | CHI | SituFont: A Just-in-Time Adaptive Intervention Interface for Enhancing Mobile Readability in Situational Visual Impairments. | Jingruo Chen, Kexin Nie, Mingshan Zhang, Chun Yu, Zhiqi Gao, Kun Yue, Yuanchun Shi, Chen Liang |
| 2025 | APWEB | ClassiCard: A Classifier Based Approach for Cardinality Estimation in Normalized Tables. | Bingbing Xiang, Huashuai Liu, Xinran Wu, Kun Yue |
| 2025 | CIKM | Differentiable Probabilistic Logic Reasoning For Knowledge Graph Completion. | Zhongbin Li, Lixing Yu, Kun Yue, Xinquan Wu |
| 2025 | CIKM | Structural Entropy-based Multivariate Time Series Forecasting. | Xinhui Li, Kun Yue, Lixing Yu, Peizhong Yang |
| 2025 | CIKM | Learning Conditional Probability Distributions for Robust Probabilistic Inference in Bayesian Network. | Xinran Wu, Kun Yue, Huashuai Liu, Liang Duan |
| 2025 | CIKM | GFlowNet with Gradient-based Optimization for Bayesian Network Structure Learning. | Zhu Yang, Kun Yue, Zhiwei Qi, Liang Duan, Jianyu Li |
| 2025 | DASFAA | Structural Entropy Based Spatio-Temporal Sequence Forecasting. | Daliang Liu, Kun Yue, Wenjie Liu, Xiang Chen, Liang Duan |
| 2025 | ICDM | Efficient Cardinality Estimation with Query-induced Probability Inference. | Huashuai Liu, Xinran Wu, Kun Yue, Bingbing Xiang, Liang Duan |
| 2025 | ICDM | Hierarchical Structure Enhanced Graph Representation for Link Prediction. | Wenjie Liu, Kun Yue, Zhenyu Zhang, Liang Duan |
| 2025 | ICDM | Trend-Aware Multivariate Time Series Forecasting Based on Mutual Information and Cross Attention. | Jie Tu, Kun Yue, Zhenyu Zhang, Liang Duan |
| 2025 | IJCAI | Conditional Information Bottleneck-Based Multivariate Time Series Forecasting. | Xinhui Li, Liang Duan, Lixing Yu, Kun Yue, Yuehua Li |
| 2025 | INDIN | Mining Associations of Electricity-Carbon Emission Influencing Factors By Knowledge Graph. | Zhaorui Yin, Xinhui Li, Jiahui Wang, Kun Yue, Zhiwei Qi, Shenzhang Li |
| 2025 | UAI | Improving Graph Contrastive Learning with Community Structure. | Xiang Chen, Kun Yue, Liang Duan, Lixing Yu |
| 2025 | UAI | Probabilistic Semantics Guided Discovery of Approximate Functional Dependencies. | Liang Duan, Xinran Wu, Xinhui Li, Lixing Yu, Kun Yue |
| 2024 | AAAI | Structural Entropy Based Graph Structure Learning for Node Classification. | Liang Duan, Xiang Chen, Wenjie Liu, Daliang Liu, Kun Yue, Angsheng Li |
| 2024 | APWEB | Joint Semantic Relation Extraction for Multiple Entity Packets. | Yuncheng Shi, Jiahui Wang, Zehao Huang, Shiyao Li, Chengjie Xue, Kun Yue |
| 2024 | CIKM | Transformer Based Bayesian Network Embedding for Efficient Multiple Probabilistic Inferences. | Kun Yue, Zhiwei Qi, Liang Duan |
| 2024 | DASFAA | Anomaly Detection for Multivariate Time Series with Multi-scale Feature Interactions. | Fulu Kou, Lixing Yu, Kun Yue, Liang Duan, Zhongbin Li |
| 2024 | ICPR | Directed Brain Network Transformer for Psychiatric Diagnosis. | Xu Zhu, Zhiwei Qi, Kun Yue, Yunshan Su, Liang Duan |
| 2022 | ICWE | Similarity Search with Graph Index on Directed Social Network Embedding. | Zhiwei Qi, Kun Yue, Liang Duan, Zhihong Liang |
| 2022 | UAI | Mutual information based Bayesian graph neural network for few-shot learning. | Kaiyu Song, Kun Yue, Liang Duan, Mingze Yang, Angsheng Li |
| 2022 | WISE | Attention-Based Relation Prediction of Knowledge Graph by Incorporating Graph and Context Features. | Shanna Zhong, Kun Yue, Liang Duan |
| 2021 | APWEB | A Probabilistic Inference Based Approach for Querying Associative Entities in Knowledge Graph. | Jianyu Li, Kun Yue, Jie Li, Liang Duan |
| 2021 | DASFAA | Ranking Associative Entities in Knowledge Graph by Graphical Modeling of Frequent Patterns. | Jie Li, Kun Yue, Liang Duan, Jianyu Li |
| 2020 | ICWS | Ordinal Preferences Driven Reputation Measurement for Online Services with User Incentive. | Xiaodong Fu, Li Liu, Lijun Liu, Yong Feng, Kun Yue |
| 2019 | DASFAA | A Probabilistic Approach for Inferring Latent Entity Associations in Textual Web Contents. | Lei Li, Kun Yue, Binbin Zhang, Zhengbao Sun |
| 2019 | DASFAA | Meta-path Based MiRNA-Disease Association Prediction. | Hao Lv, Jin Li, Sai Zhang, Kun Yue, Shaoyu Wei |
| 2018 | APWEB | An Estimation Framework of Node Contribution Based on Diffusion Information. | Zhijian Zhang, Ling Liu, Kun Yue, Weiyi Liu |
| 2018 | DASFAA | Adaptive and Parallel Data Acquisition from Online Big Graphs. | Zidu Yin, Kun Yue, Hao Wu, Yingjie Su |
| 2017 | BigData | Content Embedding Regularized Matrix Factorization for Recommender Systems. | Hao Wu, Zhengxin Zhang, Kun Yue, Binbin Zhang, Ruichao Zhu |
| 2017 | BigData | Locating Sources in Online Social Networks via Random Walk. | Zhijian Zhang, Kun Yue, Zhengbao Sun, Ling Liu, Weiyi Liu |
| 2017 | IJCNN | Noisy neuromorphic neurons with RPG on-chip noise source. | Kun Yue, Alice C. Parker |
| 2016 | APWEB | Maximizing the Cooperative Influence Spread in a Social Network Oriented to Viral Marketing. | Hong Wu, Zhijian Zhang, Kun Yue, Binbin Zhang, Weiyi Liu |
| 2016 | DASFAA | Real-Time Personalized Taxi-Sharing. | Xiaoyi Duan, Cheqing Jin, Xiaoling Wang, Aoying Zhou, Kun Yue |
| 2016 | ICWS | Aggregating Ordinal User Preferences for Effective Reputation Computation of Online Services. | Xiaodong Fu, Kun Yue, Li Liu, Lijun Liu |
| 2015 | CEC | Analysis of evolutionary stability of funds flows in financial networks. | Ke Yang, Weiyi Liu, Hong Wu, Kun Yue |
| 2015 | DASFAA | Tracing Errors in Probabilistic Databases Based on the Bayesian Network. | Liang Duan, Kun Yue, Cheqing Jin, Wenlin Xu, Weiyi Liu |
| 2015 | ICMV | Grid fill algorithm for vector graphics render on mobile devices. | Jixian Zhang, Kun Yue, Guowu Yuan, Binbin Zhang |
| 2014 | CIKM | Structure Learning of Bayesian Network with Latent Variables by Weight-Induced Refinement. | Chao He, Kun Yue, Hao Wu, Weiyi Liu |
| 2013 | APWEB | A MapReduce-Based Method for Learning Bayesian Network from Massive Data. | Qiyu Fang, Kun Yue, Xiaodong Fu, Hong Wu, Weiyi Liu |
| 2013 | APWEB | Detecting Community Structures in Microblogs from Behavioral Interactions. | Ping Zhang, Kun Yue, Jin Li, Xiaodong Fu, Weiyi Liu |
| 2013 | BigData | Graph-Based Hierarchical Categorization of Microblog Users. | Kun Yue, Minqi Zhou, Jixian Zhang, Ping Zhang, Qiyu Fang, Weiyi Liu |
| 2013 | WISE | An Approach for Sponsored Search Auctions Based on the Coalitional Game Theory. | Wenlin Xu, Kun Yue, Jin Li, Liang Duan, Suiye Liu, Weiyi Liu |
| 2012 | APWEB | A Process Distance Metric Based on Alignment of Process Structure Trees. | Xiaodong Fu, Kun Yue, Ping Zou, Feng Wang, Kaifan Ji |
| 2012 | DASFAA | Bayesian Network-Based Probabilistic XML Keywords Filtering. | Chenjing Zhang, Kun Yue, Jinghua Zhu, Xiaoling Wang, Aoying Zhou |
| 2012 | TAMC | A Game-Theoretic Approach for Balancing the Tradeoffs between Data Availability and Query Delay in Multi-hop Cellular Networks. | Jin Li, Weiyi Liu, Kun Yue |
| 2010 | APSCC | A Control-Flow Complexity Measure of Web Service Composition Process. | Xiaodong Fu, Ping Zou, Yuqian Ma, Ying Jiang, Kun Yue |
| 2010 | ICNC | No-regret learning for cost constrained resource selection game. | Jin Li, Zhou Shi, Wei-Yi Liu, Kun Yue, Rui-Jie Chen |
| 2008 | ADMA | Learning and Inferences of the Bayesian Network with Maximum Likelihood Parameters. | JiaDong Zhang, Kun Yue, Weiyi Liu |
| 2008 | APWEB | Learning-Function-Augmented Inferences of Causalities Implied in Health Data. | JiaDong Zhang, Kun Yue, Weiyi Liu |
| 2008 | ISKE | An adaptive Markov model for text categorization. | Jin Li, Kun Yue, Weiyi Liu |
| 2007 | ICNC | Reduction of Graphical Model and Genetic Algorithm for Computing Approximate Nash Equilibrium in Static Games. | Wei-Yi Liu, Jin Li, Kun Yue, Ning Song |
| 2005 | APWEB | A Framework of Web Service Composition for Distributed XML Query Evaluation. | Kun Yue, Weiyi Liu, Aoying Zhou |
| 2004 | APWEB | Efficient Community Management and Optimization Strategies of Web Services in Peer-to-Peer Environments. | Zhiming Pan, Yizhong Wu, Kun Yue, Xiaoling Wang, Aoying Zhou |
| 2004 | ICWS | Service Selection in Dynamic Demand-Driven Web Services. | Xiaoling Wang, Kun Yue, Joshua Zhexue Huang, Aoying Zhou |
| 2003 | APWEB | Constraint Preserving XML Updating. | Kun Yue, Zhengchuan Xu, Zhimao Guo, Aoying Zhou |
| 2003 | SIGMOD | TREX: DTD-Conforming XML to XML Transformations. | Aoying Zhou, Qing Wang, Zhimao Guo, Xueqing Gong, Shihui Zheng, Hongwei Wu, Jianchang Xiao, Kun Yue, Wenfei Fan |