| 2025 | EMNLP | R-CHAR: A Metacognition-Driven Framework for Role-Playing in Large Language Models. | Haiming Qin, Jiwei Zhang, Wei Zhang, Kezhong Lu, Mingyang Zhou, Hao Liao, Rui Mao |
| 2025 | EMNLP | Hierarchical Reward Modeling for Fault Localization in Large Code Repositories. | Jiwei Zhang, Jianxun Lian, Haiming Qin, Mingyang Zhou, Kezhong Lu, Rui Mao, Hao Liao |
| 2025 | IJCNN | Clustering-Aware Multiple Graph Matching with Cycle Consistency. | Tianshui Gu, Junjie Li, Xuyao Li, Kezhong Lu |
| 2025 | IJCNN | Partial Graph Matching Based on Node Filtering and Sampling. | Tianshui Gu, Xuyao Li, Junjie Li, Kezhong Lu |
| 2025 | KDD | Spatially Compact Dense Block Mining in Spatial Tensors. | Weike Tang, Dingming Wu, Tsz Nam Chan, Kezhong Lu |
| 2025 | WWW | Highly-efficient Minimization of Network Connectivity in Large-scale Graphs. | Mingyang Zhou, Gang Liu, Kezhong Lu, Hao Liao, Rui Mao |
| 2024 | IJCNN | Semi-supervised Online Elastic Stochastic Configuration Network to Deal with Concept Drift and Class Imbalance in Data Streams. | Chaofan Chen, Wenhao Zhong, Kezhong Lu |
| 2024 | SMC | Expedited Block Transmission in Blockchain Network by using Clusters. | Xiaoqi Hua, Jian Chen, Peiyun Zhang, Zhangjie Fu, Haibin Zhu, Kezhong Lu, Jigang Ren |
| 2024 | WWW | Accelerating the Decentralized Federated Learning via Manipulating Edges. | Mingyang Zhou, Gang Liu, Kezhong Lu, Rui Mao, Hao Liao |
| 2023 | ACL | Explainable Recommendation with Personalized Review Retrieval and Aspect Learning. | Hao Cheng, Shuo Wang, Wensheng Lu, Wei Zhang, Mingyang Zhou, Kezhong Lu, Hao Liao |
| 2023 | APWEB | Mining Frequent Geo-Subgraphs in a Knowledge Graph. | Yixin Wu, Jingyan Huang, Dingming Wu, Christian S. Jensen, Kezhong Lu |
| 2023 | CIKM | A Re-evaluation of Deep Learning Methods for Attributed Graph Clustering. | Xinying Lai, Dingming Wu, Christian S. Jensen, Kezhong Lu |
| 2023 | Mobiquitous | AIMSafe: EEG-Based Driver Behavior Understanding via Attention and Incremental Learning Mechanisms. | Landu Jiang, Cheng Luo, Tao Gu, Kezhong Lu, Dian Zhang |
| 2019 | PDCAT | Base Station Positioning in Single-Tiered Wireless Sensor Networks. | Xinchen Li, Huan Cai, Gang Liu, Kezhong Lu |
| 2017 | ICPADS | Optimize the FP-Tree Based Graph Edge Weight Computation on Multi-core MapReduce Clusters. | Yuhong Feng, Meihong Guo, Kezhong Lu, Zhong Ming, Haoming Zhong, Wentong Cai, Zengxiang Li |
| 2016 | ICPP | Exploring Variation-Aware Fault-Tolerant Cache under Near-Threshold Computing. | Jing Wang, Yanjun Liu, Weigong Zhang, Kezhong Lu, Keni Qiu, Xin Fu, Tao Li |
| 2007 | ICNC | An Energy-Efficient Scheme of Deploying Nodes in Wireless Sensor Networks. | Kezhong Lu, XiaoHui Lin |
| 2007 | PDCAT | A Local Voronoi Diagram-Based Approximate Algorithm for Minimum Disc Cover Problem. | Kezhong Lu, XiaoHui Lin, Fengxia Ding |
| 2005 | PDCAT | Localized Algorithm for Coverage in Wireless Sensor Networks. | Hongli Xu, Liusheng Huang, Yingyu Wan, Kezhong Lu |