Luankang Zhang

According to our database, Luankang Zhang authored at least 12 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

FuXi-Linear: Unleashing the Power of Linear Attention in Long-term Time-aware Sequential Recommendation.

Yufei Ye, Wei Guo, Hao Wang, Luankang Zhang, Heng Chang, Hong Zhu, Yuyang Ye, Yong Liu, Defu Lian, Enhong Chen

CoRR, February, 2026

Why Thinking Hurts? Diagnosing and Rectifying the Reasoning Shift in Foundation Recommender Models.

Luankang Zhang, Yonghao Huang, Hang Lv, Mingjia Yin, Liangyue Li, Zulong Chen, Hao Wang, Enhong Chen

CoRR, February, 2026

The Next Paradigm Is User-Centric Agent, Not Platform-Centric Service.

Luankang Zhang, Hang Lv, Qiushi Pan, Kefen Wang, Yonghao Huang, Xinrui Miao, Yin Xu, Wei Guo, Yong Liu, Hao Wang, Enhong Chen

CoRR, February, 2026

Can Recommender Systems Teach Themselves? A Recursive Self-Improving Framework with Fidelity Control.

Luankang Zhang, Hao Wang, Zhongzhou Liu, Mingjia Yin, Yonghao Huang, Jiaqi Li, Wei Guo, Yong Liu, Huifeng Guo, Defu Lian, Enhong Chen

CoRR, February, 2026

2025

Revisiting scalable sequential recommendation with Multi-Embedding Approach and Mixture-of-Experts.

Qiushi Pan, Hao Wang, Guoyuan An, Luankang Zhang, Wei Guo, Yong Liu

CoRR, October, 2025

MF-GSLAE: A Multi-Factor User Representation Pre-Training Framework for Dual-Target Cross-Domain Recommendation.

Hao Wang, Mingjia Yin, Luankang Zhang, Sirui Zhao, Enhong Chen

ACM Trans. Inf. Syst., March, 2025

Generative Large Recommendation Models: Emerging Trends in LLMs for Recommendation.

Hao Wang, Wei Guo, Luankang Zhang, Jin Yao Chin, Yufei Ye, Huifeng Guo, Yong Liu, Defu Lian, Ruiming Tang, Enhong Chen

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Killing Two Birds with One Stone: Unifying Retrieval and Ranking with a Single Generative Recommendation Model.

Luankang Zhang, Kenan Song, Yi Quan Lee, Wei Guo, Hao Wang, Yawen Li, Huifeng Guo, Yong Liu, Defu Lian, Enhong Chen

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Multi-granularity Interest Retrieval and Refinement Network for Long-Term User Behavior Modeling in CTR Prediction.

Xiang Xu, Hao Wang, Wei Guo, Luankang Zhang, Wanshan Yang, Runlong Yu, Yong Liu, Defu Lian, Enhong Chen

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

2024

Scaling New Frontiers: Insights into Large Recommendation Models.

Wei Guo, Hao Wang, Luankang Zhang, Jin Yao Chin, Zhongzhou Liu, Kai Cheng, Qiushi Pan, Yi Quan Lee, Wanqi Xue, Tingjia Shen, Kenan Song, Kefan Wang, Wenjia Xie, Yuyang Ye, Huifeng Guo, Yong Liu, Defu Lian, Ruiming Tang, Enhong Chen

CoRR, 2024

Breaking Determinism: Fuzzy Modeling of Sequential Recommendation Using Discrete State Space Diffusion Model.

Wenjia Xie, Hao Wang, Luankang Zhang, Rui Zhou, Defu Lian, Enhong Chen

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

A Unified Framework for Adaptive Representation Enhancement and Inversed Learning in Cross-Domain Recommendation.

Luankang Zhang, Hao Wang, Suojuan Zhang, Mingjia Yin, Yongqiang Han, Jiaqing Zhang, Defu Lian, Enhong Chen

Proceedings of the Database Systems for Advanced Applications, 2024