Unity Is Strength: Collaborative LLM-Based Agents for Code Reviewer Recommendation. - Luqiao Wang; Yangtao Zhou; Huiying Zhuang; Qingshan Li; Di Cui; Yutong Zhao; Lu Wang 014 (ASE, 2024)

DIDA: Dynamic Individual-to-integrateD Augmentation for Self-supervised Skeleton-Based Action Recognition. - Haobo Huang; Jianan Li 003; Hongbin Fan; Zhifu Zhao; Yangtao Zhou (PRCV (7), 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)

Building Bridges, Not Walls: Fairness-Aware and Accurate Recommendation of Code Reviewers via LLm-Based Agents Collaboration. - Luqiao Wang; Qingshan Li; Di Cui; Mingkang Wang; Yutong Zhao; Yongye Xu; Huiying Zhuang; Yangtao Zhou; Lu Wang 014 (ICPC, 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)

CoCoDiff: Diversifying Skeleton Action Features via Coarse-Fine Text-Co-Guided Latent Diffusion. - Zhifu Zhao; Xian-Hua Han; Jianan Li 003; Shaoxin Wu; Fu Li 002; Yangtao Zhou; Yang Li 019 (CoRR, 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)