XDRE: A Reverse Engineering Tool of Object-Oriented Software. - Qingshan Li; Shengming Hu; Hua Chu; Ping Chen (ICSM (Industrial and Tool Volume), 2005)

Architecture Recovery and Abstraction from the Perspective of Processes. - Qingshan Li; Hua Chu; Shengming Hu; Ping Chen; Zhao Yun (WCRE, 2005)

An Approach for Reversely Generating Hierarchical UML Statechart Diagrams. - Hua Chu; Qingshan Li; Shengming Hu; Ping Chen (FSKD, 2006)

DCISL: Dynamic Control Integration Script Language. - Qingshan Li; Lei Wang 028; Hua Chu; Shaojie Mao (AICI (2), 2010)

An Improved Decision Tree Algorithm Using Rough Set Theory in Clinical Decision Support System. - Qingshan Li; Jian'guo Zhang; Hua Chu (AICI, 2012)

An AHP-Based Assessment Model for Clinical Diagnosis and Decision. - Qingshan Li; Lihang Zhang; Hua Chu (AICI, 2012)

Event-based evolution mechanism in dynamic environment for multi-agent system. - Qingshan Li; Hua Chu; Liang Diao; Lihang Zhang (ICNC, 2014)

Representation of the Environment and Dynamic Perception in Agent-Based Software Evolution. - Qingshan Li; Hua Chu; Lihang Zhang; Liang Diao (ICSI (1), 2014)

Adaptive Mechanism Based on Shared Learning in Multi-agent System. - Qingshan Li; Hua Chu; Liang Diao; Lu Wang 014 (IIP, 2014)

Knowledge Reasoning Model to Support Clinical Decision Making. - Qingshan Li; Jing Feng; Lu Wang 014; Hua Chu; WeiJuan Fu (ITBAM, 2014)

Method for Knowledge Acquisition and Decision-Making Process Analysis in Clinical Decision Support System. - Qingshan Li; Jing Feng; Lu Wang 014; Hua Chu; He Yu (ITBAM, 2014)

Multi-agent Organization for Hiberarchy Dynamic Evolution. - Lu Wang 014; Qingshan Li; Yishuai Lin; Hua Chu (ICSI (1), 2015)

A Scalable Clinical Intelligent Decision Support System. - Hua Chu; Yijing Yang; Qingshan Li; Yongfei Xu; Hongpeng Wei (ICOST, 2016)

MABT - a multiagent-based toolkit for transforming existing systems into self-adaptive systems. - Lu Wang 014; Qingshan Li; Yishuai Lin; Hua Chu (SEKE, 2016)

Transformation from business process models to BPEL with overlapped patterns involved. - Man Zhang; Zhenhua Duan; Qingshan Li; Hua Chu (Int. J. High Perform. Comput. Netw., 2016)

Joint contrastive learning of structural and semantic for graph collaborative filtering. - Jie Dai; Qingshan Li; Tianyi Nong; Qipeng Bi; Hua Chu (Neurocomputing, 2024)

PCG: A joint framework of graph collaborative filtering for bug triaging. - Jie Dai; Qingshan Li; Shenglong Xie; Daizhen Li; Hua Chu (J. Softw. Evol. Process., 2024)

Dual Multi-Scale GCN with Deformable Temporal Kernel for Skeleton-based Action Recognition. - Jianan Li 003; Yangtao Zhou; Hua Chu; Han Wang; Zhifu Zhao; Fei Li; Qingshan Li (ICASSP, 2025)

DeMBR: Denoising Model with Memory Pruning and Semantic Guidance for Multi-Behavior Recommendation. - Shuai Zhang; Hua Chu; Jianan Li 003; Yangtao Zhou; Shirong Wang; Qiaofei Sun (WSDM, 2025)

Dual-tower model with semantic perception and timespan-coupled hypergraph for next-basket recommendation. - Yangtao Zhou; Hua Chu; Qingshan Li; Jianan Li 003; Shuai Zhang; Feifei Zhu; Jingzhao Hu; Luqiao Wang; Wanqiang Yang (Neural Networks, 2025)

Spatiotemporal-view member preference contrastive representation learning for group recommendation. - Yangtao Zhou; Qingshan Li; Hua Chu; Jianan Li 003; Biaobiao Wei; Shuai Zhang; Jialong Han (Mach. Learn., 2025)

Diffusion-driven SpatioTemporal Graph KANsformer for Medical Examination Recommendation. - Jianan Li 003; Yangtao Zhou; Zhifu Zhao; Qinglan Huang; Jian Qi; Xiao He; Hua Chu; Fu Li 002 (CoRR, 2025)