META-LORA: Memory-Efficient Sample Reweighting for Fine-Tuning Large Language Models. - Weicheng Li; Lixin Zou; Min Tang; Qing Yu 004; Wanli Li 002; Chenliang Li 005 (COLING, 2025)

Individualized Value Discovery using LLMs for Short Video Recommendation. - Kejun Chen; Shuchang Liu 001; Jiayin Zhang; Zhitao Yin; Yandong Bai; Xin Li; Sean Xin Xu; Qing Yu 004; Xiang Li 189 (ICIS, 2025)

Who You Are Matters: Bridging Interests and Social Roles via LLM-Enhanced Logic Recommendation. - Qing Yu 004; Xiaobei Wang; Shuchang Liu 001; Yandong Bai; Xiaoyu Yang; Xueliang Wang; Chang Meng; Shanshan Wu; Hailan Yang; Bin Wen; Huihui Xiao; Xiang Li 189; et al. (NeurIPS, 2025)

IBPL: Information Bottleneck-based Prompt Learning for graph out-of-distribution detection. - Yanan Cao 001; Fengzhao Shi; Qing Yu 004; Xixun Lin; Chuan Zhou 001; Lixin Zou; Peng Zhang 001; Zhao Li 007; Dawei Yin 001 (Neural Networks, 2025)

Who You Are Matters: Bridging Topics and Social Roles via LLM-Enhanced Logical Recommendation. - Qing Yu 004; Xiaobei Wang; Shuchang Liu 001; Yandong Bai; Xiaoyu Yang; Xueliang Wang; Chang Meng; Shanshan Wu; Hailan Yang; Huihui Xiao; Xiang Li 189; Fan Yang 094; et al. (CoRR, 2025)

Uniform Graph Pre-training and Prompting for Transferable Recommendation. - Qing Yu 004; Lixin Zou; Xiangyang Luo 001; Xiangyu Zhao 001; Chenliang Li 005 (ACM Trans. Inf. Syst., 2025)

Generative Causality-Driven Network for Graph Multi-Task Learning. - Xixun Lin; Qing Yu 004; Yanan Cao 006; Lixin Zou; Chuan Zhou 001; Jia Wu 001; Chenliang Li 005; Peng Zhang 001; Shirui Pan (IEEE Trans. Pattern Anal. Mach. Intell., 2026)