RecBole 2.0: Towards a More Up-to-Date Recommendation Library. - Wayne Xin Zhao; Yupeng Hou; Xingyu Pan; Chen Yang; Zeyu Zhang 007; Zihan Lin; Jingsen Zhang; Shuqing Bian; Jiakai Tang; Wenqi Sun; Yushuo Chen; Lanling Xu; et al. (CIKM, 2022)

Tiger: Transferable Interest Graph Embedding for Domain-Level Zero-Shot Recommendation. - Jianhuan Zhuo; Jianxun Lian; Lanling Xu; Ming Gong 001; Linjun Shou; Daxin Jiang; Xing Xie 001; Yinliang Yue (CIKM, 2022)

Negative Sampling for Contrastive Representation Learning: A Review. - Lanling Xu; Jianxun Lian; Wayne Xin Zhao; Ming Gong 001; Linjun Shou; Daxin Jiang; Xing Xie 001; Ji-Rong Wen (CoRR, 2022)

Recent Advances in RecBole: Extensions with more Practical Considerations. - Lanling Xu; Zhen Tian 001; Gaowei Zhang; Lei Wang 198; Junjie Zhang 009; Bowen Zheng 005; Yifan Li 009; Yupeng Hou; Xingyu Pan; Yushuo Chen; Wayne Xin Zhao; Xu Chen 017; et al. (CoRR, 2022)

Towards a More User-Friendly and Easy-to-Use Benchmark Library for Recommender Systems. - Lanling Xu; Zhen Tian 001; Gaowei Zhang; Junjie Zhang 009; Lei Wang 198; Bowen Zheng 005; Yifan Li 009; Jiakai Tang; Zeyu Zhang 007; Yupeng Hou; Xingyu Pan; Wayne Xin Zhao; et al. (SIGIR, 2023)

LSA: Understanding the Threat of Link-Based Scapegoating Attack in Network Tomography. - Xiaojia Xu; Yongcai Wang; Lanling Xu; Deying Li 001 (IEEE Trans. Netw. Sci. Eng., 2023)

Sequence-level Semantic Representation Fusion for Recommender Systems. - Lanling Xu; Zhen Tian 001; Bingqian Li; Junjie Zhang 009; Daoyuan Wang; Hongyu Wang; Jinpeng Wang 001; Sheng Chen; Wayne Xin Zhao (CIKM, 2024)

Promoting Two-sided Fairness with Adaptive Weights for Providers and Customers in Recommendation. - Lanling Xu; Zihan Lin; Jinpeng Wang 001; Sheng Chen; Wayne Xin Zhao; Ji-Rong Wen (RecSys, 2024)

Prompting Large Language Models for Recommender Systems: A Comprehensive Framework and Empirical Analysis. - Lanling Xu; Junjie Zhang 009; Bingqian Li; Jinpeng Wang 001; Mingchen Cai; Wayne Xin Zhao; Ji-Rong Wen (CoRR, 2024)

Sequence-level Semantic Representation Fusion for Recommender Systems. - Lanling Xu; Zhen Tian 001; Bingqian Li; Junjie Zhang 009; Jinpeng Wang 001; Mingchen Cai; Wayne Xin Zhao (CoRR, 2024)

Tapping the Potential of Large Language Models as Recommender Systems: A Comprehensive Framework and Empirical Analysis. - Lanling Xu; Junjie Zhang 009; Bingqian Li; Jinpeng Wang 001; Sheng Chen; Wayne Xin Zhao; Ji-Rong Wen (ACM Trans. Knowl. Discov. Data, 2025)