Community Detection in Attributed Graphs: An Embedding Approach

Li Ye, Chaofeng Sha, Xin Huang, +1

Proceedings of the AAAI Conference on Artificial Intelligence

Community StructureComputational Social ScienceNetwork ScienceGraph TheoryData Science +13

Dynamically maintaining frequent items over a data stream

Cheqing Jin, Weining Qian, Chaofeng Sha, +2

EngineeringDynamic DataStreaming AlgorithmData Streaming ArchitectureFrequent Items +15

DeepTraLog

Chenxi Zhang, Xin Peng, Chaofeng Sha, +5

Proceedings of the 44th International Conference on Software Engineering

Anomaly DetectionMachine LearningData ScienceData MiningPattern Recognition +9

Evaluating Large Language Models in Class-Level Code Generation

Xueying Du, Mingwei Liu, Kaixin Wang, +7

Llm Fine-tuningEngineeringSoftware EngineeringSoftware AnalysisLarge Language Models +15

MAF: A General Matching and Alignment Framework for Multimodal Named Entity Recognition

Bo Xu, Shizhou Huang, Chaofeng Sha, +1

Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining

EngineeringSocial Media PostsText MiningSpeech RecognitionNatural Language Processing +18

Distributed Data Stream Clustering: A Fast EM-based Approach

Aoying Zhou, Feng Cao, Ying Yan, +2

Stream ProcessingCluster ComputingEngineeringData ScienceData Mining +13

A framework for recommending relevant and diverse items

Chaofeng Sha, Xiaowei Wu, Junyu Niu

International Joint Conference on Artificial Intelligence

Ranking AlgorithmEngineeringInformation RetrievalData ScienceData Mining +12

TraceCRL: contrastive representation learning for microservice trace analysis

Chenxi Zhang, Xin Peng, Tong Zhou, +4

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering

Traces TracecrlGraph Neural NetworkAnomaly DetectionMachine LearningData Science +13

PUTraceAD: Trace Anomaly Detection with Partial Labels based on GNN and PU Learning

Ke Zhang, Chenxi Zhang, Xin Peng, +1

Anomaly DetectionMachine LearningEngineeringPu LearningTrace Anomaly Detection +15

An Empirical Study of Parameter-Efficient Fine-Tuning Methods for Pre-Trained Code Models

Jiaxing Liu, Chaofeng Sha, Xin Peng