A Contrastive learning-based Task Adaptation model for few-shot intent recognition. - Xin Zhang 123; Fei Cai; Xuejun Hu; Jianming Zheng; Honghui Chen (Inf. Process. Manag., 2022)

Exploring latent connections in graph neural networks for session-based recommendation. - Fei Cai; Zhiqiang Pan; Chengyu Song; Xin Zhang 123 (Inf. Retr. J., 2022)

Incorporating geometry knowledge into an incremental learning structure for few-shot intent recognition. - Xin Zhang 123; Miao Jiang; Honghui Chen; Jianming Zheng; Zhiqiang Pan (Knowl. Based Syst., 2022)

BP-MoE: Behavior Pattern-aware Mixture-of-Experts for Temporal Graph Representation Learning. - Chonghao Chen; Fei Cai; Wanyu Chen; Jianming Zheng; Xin Zhang 123; Aimin Luo (Knowl. Based Syst., 2024)

On the Cross-Graph Transferability of Dynamic Link Prediction. - Zhiqiang Pan; Chen Gao 001; Fei Cai; Wanyu Chen; Xin Zhang 123; Honghui Chen; Yong Li 008 (WWW, 2025)

Information bottleneck-driven prompt on graphs for unifying downstream few-shot classification tasks. - Xin Zhang 123; Wanyu Chen; Fei Cai; Jianming Zheng; Zhiqiang Pan; Yupu Guo; Honghui Chen (Inf. Process. Manag., 2025)

Discrepancy Learning Guided Hierarchical Fusion Network for Multi-modal Recommendation. - Yuzhuo Dang; Zhiqiang Pan; Xin Zhang 123; Wanyu Chen; Fei Cai; Honghui Chen (Knowl. Based Syst., 2025)

RoboScape: Physics-informed Embodied World Model. - Yu Shang; Xin Zhang 123; Yinzhou Tang; Lei Jin; Chen Gao 001; Wei Wu 021; Yong Li 008 (CoRR, 2025)

AirScape: An Aerial Generative World Model with Motion Controllability. - Baining Zhao; Rongze Tang; Mingyuan Jia; Ziyou Wang; Fanghang Man; Xin Zhang 123; Yu Shang; Weichen Zhang; Chen Gao 001; Wei Wu 021; Xin Wang 019; Xinlei Chen; et al. (CoRR, 2025)