| 2026 | ACL | CoRE: A Fine-Grained Code Reasoning Benchmark Beyond Output Prediction. | Jun Gao, Yun Peng, Qian Qiao, Changhai Zhou, Yuhua Zhou, Shiyang Zhang, Shichao Weng, Zhenchang Xing, Xiaoxue Ren |
| 2026 | ACL | MulVul: Retrieval-augmented Multi-Agent Code Vulnerability Detection via Cross-Model Prompt Evolution. | Zihan Wu, Jie Xu, Yun Peng, Chun Yong Chong, Xiaohua Jia |
| 2025 | ICCV | CleanPose: Category-Level Object Pose Estimation via Causal Learning and Knowledge Distillation. | Xiao Lin, Yun Peng, Liuyi Wang, Xianyou Zhong, Minghao Zhu, Yi Feng, Jingwei Yang, Chengju Liu, Qijun Chen |
| 2025 | ICPADS | CondAlign: Condition-Aware Cross Domain Account Alignment Based on Large Language Models. | Hang Lin, Zuolin Feng, Canyong Cai, Ziyang Xie, Yun Peng |
| 2025 | SIGMOD | A Fast Line Density Visualization Plugin for Geographic Information Systems. | Tsz Nam Chan, Bojian Zhu, Dingming Wu, Yun Peng, Leong Hou U, Wei Tu, Ruisheng Wang |
| 2024 | ICDE | ChatGraph: Chat with Your Graphs. | Yun Peng, Sen Lin, Qian Chen, Shaowei Wang, Lyu Xu, Xiaojun Ren, Yafei Li, Jianliang Xu |
| 2024 | INFOCOM | Optimal Locally Private Data Stream Analytics. | Shaowei Wang, Yun Peng, Kongyang Chen, Wei Yang |
| 2024 | ICSE | Domain Knowledge Matters: Improving Prompts with Fix Templates for Repairing Python Type Errors. | Yun Peng, Shuzheng Gao, Cuiyun Gao, Yintong Huo, Michael R. Lyu |
| 2024 | ICSE | Less is More? An Empirical Study on Configuration Issues in Python PyPI Ecosystem. | Yun Peng, Ruida Hu, Ruoke Wang, Cuiyun Gao, Shuqing Li, Michael R. Lyu |
| 2022 | ICDE | LAN: Learning-based Approximate k-Nearest Neighbor Search in Graph Databases. | Yun Peng, Byron Choi, Tsz Nam Chan, Jianliang Xu |
| 2022 | ICSE | Static Inference Meets Deep learning: A Hybrid Type Inference Approach for Python. | Yun Peng, Cuiyun Gao, Zongjie Li, Bowei Gao, David Lo, Qirun Zhang, Michael R. Lyu |
| 2021 | IJCAI | Graph Edit Distance Learning via Modeling Optimum Matchings with Constraints. | Yun Peng, Byron Choi, Jianliang Xu |
| 2019 | ICST | Towards Automated Generation of Bug Benchmark for Smart Contracts. | Jiaming Ye, Mingliang Ma, Tianyong Peng, Yun Peng, Yinxing Xue |
| 2018 | ICDE | Human-Powered Data Cleaning for Probabilistic Reachability Queries on Uncertain Graphs. | Xin Lin, Yun Peng, Jianliang Xu, Byron Choi |
| 2018 | ICNC | Optimization of Ammonia-water Absorption Refrigeration System for Ocean-going Fishing Vessels Based on PSO-GA Algorithm. | Li Ren, Yun Peng |
| 2017 | FUSION | Risk assessment for oil&gas resource countries based on PCA-SVM model. | Wei Yan, Yun Peng, Zijian Wang |
| 2017 | ICONIP | Solving the Local-Minimum Problem in Training Deep Learning Machines. | James Ting-Ho Lo, Yichuan Gui, Yun Peng |
| 2017 | ISADS | Random Walk Based Trade Reference Computation for Personal Credit Scoring. | Yun Peng, Ruzhi Xu, Huawei Zhao, Zhizheng Zhou, Ni Wu, Ying Yang |
| 2017 | ISADS | Design of Network Media's Digital Rights Management Scheme Based on Blockchain Technology. | Ruzhi Xu, Lu Zhang, Huawei Zhao, Yun Peng |
| 2017 | ISADS | Lightweight Backup and Efficient Recovery Scheme for Health Blockchain Keys. | Huawei Zhao, Yong Zhang, Yun Peng, Ruzhi Xu |
| 2016 | ICDE | VColor: A practical vertex-cut based approach for coloring large graphs. | Yun Peng, Byron Choi, Bingsheng He, Shuigeng Zhou, Ruzhi Xu, Xiaohui Yu |
| 2016 | IJCNN | Training deep neural networks with gradual deconvexification. | James Ting-Ho Lo, Yichuan Gui, Yun Peng |
| 2015 | ISADS | Tourism Service Composition Based on Multi-objective Optimization. | Xuwei Zheng, Ruzhi Xu, Yun Peng, Shuaiqiang Wang |
| 2014 | IJCNN | A pairwise algorithm for training multilayer perceptrons with the normalized risk-averting error criterion. | Yichuan Gui, James Ting-Ho Lo, Yun Peng |
| 2013 | IJCNN | Overcoming the local-minimum problem in training multilayer perceptrons by gradual deconvexification. | James Ting-Ho Lo, Yichuan Gui, Yun Peng |
| 2013 | ISNN | Overcoming the Local-Minimum Problem in Training Multilayer Perceptrons with the NRAE-MSE Training Method. | James Ting-Ho Lo, Yichuan Gui, Yun Peng |
| 2013 | PAKDD | Spectral Decomposition for Optimal Graph Index Prediction. | Liyan Song, Yun Peng, Byron Choi, Jianliang Xu, Bingsheng He |
| 2012 | ISNN | Overcoming the Local-Minimum Problem in Training Multilayer Perceptrons with the NRAE Training Method. | James Ting-Ho Lo, Yichuan Gui, Yun Peng |
| 2011 | CIKM | Predicting the optimal ad-hoc index for reachability queries on graph databases. | Jintian Deng, Fei Liu, Yun Peng, Byron Choi, Jianliang Xu |
| 2011 | ICDE | Selectivity estimation of twig queries on cyclic graphs. | Yun Peng, Byron Choi, Jianliang Xu |
| 2011 | IRI | Extensible Dynamic Form approach for supplier discovery. | Yan Kang, Jaewook Kim, Yun Peng |
| 2010 | ECAI | Integrating Probability Constraints into Bayesian Nets. | Yun Peng, Shenyong Zhang |
| 2009 | IRI | Semantic Similarity Analysis of XML Schema using Grid Computing. | Jaewook Kim, Sookyoung Lee, Milton Halem, Yun Peng |
| 2008 | COCOON | Throughput Maximization with Traffic Profile in Wireless Mesh Network. | Hejiao Huang, Yun Peng |
| 2008 | IRI | A layered approach to semantic similarity analysis of XML schemas. | Jaewook Kim, Yun Peng, Boonserm Kulvatunyou, Nenad Ivezic, Albert T. Jones |
| 2008 | ICTAI | An Efficient Method for Probabilistic Knowledge Integration. | Shenyong Zhang, Yun Peng, Xiaopu Wang |
| 2007 | AI | Learning the Semantic Meaning of a Concept from the Web. | Yang Yu, Yun Peng |
| 2006 | ICTAI | Belief Update in Bayesian Networks Using Uncertain Evidence. | Rong Pan, Yun Peng, Zhongli Ding |
| 2005 | AAAI | Swoogle: Searching for Knowledge on the Semantic Web. | Timothy W. Finin, Li Ding, Rong Pan, Anupam Joshi, Pranam Kolari, Akshay Java, Yun Peng |
| 2005 | AAAI | A Framework for Bayesian Network Mapping. | Rong Pan, Yun Peng |
| 2005 | UAI | Modifying Bayesian Networks by Probability Constraints. | Yun Peng, Zhongli Ding |
| 2004 | CIKM | Swoogle: a search and metadata engine for the semantic web. | Li Ding, Timothy W. Finin, Anupam Joshi, Rong Pan, R. Scott Cost, Yun Peng, Pavan Reddivari, Vishal Doshi, Joel Sachs |
| 2000 | IJCNN | A Mean Field Approach to MAP in Belief Networks. | Yun Peng, Miao Jin |
| 1999 | AAAI | Learning in Broker Agent. | Xiaocheng Luan, Yun Peng, Timothy W. Finin |
| 1999 | IJCNN | A neural network approach to MAP in belief networks. | Yun Peng, Miao Jin, Kaihua Chen |
| 1993 | ISMB | Minimizing Complexity in Cellular Automata Models of Self-Replication. | James A. Reggia, Hui-Hsien Chou, Steven L. Armentrout, Yun Peng |
| 1986 | AAAI | Plausibility of Diagnostic Hypotheses: The Nature of Simplicity. | Yun Peng, James A. Reggia |