Luankang Zhang

17 papers A* 2Journal 12Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Can Recommender Systems Teach Themselves? A Recursive Self-Improving Framework with Fidelity Control.
CoRR
Luankang Zhang, Hao Wang, Zhongzhou Liu, Mingjia Yin, Yonghao Huang, Jiaqi Li, Wei Guo, Yong Liu, Huifeng Guo, Defu Lian, Enhong Chen
2026 J jnl
FuXi-Linear: Unleashing the Power of Linear Attention in Long-term Time-aware Sequential Recommendation.
CoRR
Yufei Ye, Wei Guo, Hao Wang, Luankang Zhang, Heng Chang, Hong Zhu, Yuyang Ye, Yong Liu, Defu Lian, Enhong Chen
2026 J jnl
The Next Paradigm Is User-Centric Agent, Not Platform-Centric Service.
CoRR
Luankang Zhang, Hang Lv, Qiushi Pan, Kefen Wang, Yonghao Huang, Xinrui Miao, Yin Xu, Wei Guo, Yong Liu, Hao Wang, Enhong Chen
2026 J jnl
Why Thinking Hurts? Diagnosing and Rectifying the Reasoning Shift in Foundation Recommender Models.
CoRR
Luankang Zhang, Yonghao Huang, Hang Lv, Mingjia Yin, Liangyue Li, Zulong Chen, Hao Wang, Enhong Chen
2025 — conf
Generative Large Recommendation Models: Emerging Trends in LLMs for Recommendation.
WWW (Companion Volume)
Hao Wang, Wei Guo, Luankang Zhang, Jin Yao Chin, Yufei Ye, Huifeng Guo, Yong Liu, Defu Lian, Ruiming Tang, Enhong Chen
2025 J jnl
Generative Large Recommendation Models: Emerging Trends in LLMs for Recommendation.
CoRR
Hao Wang, Wei Guo, Luankang Zhang, Jin Yao Chin, Yufei Ye, Huifeng Guo, Yong Liu, Defu Lian, Ruiming Tang, Enhong Chen
2025 A* conf
Killing Two Birds with One Stone: Unifying Retrieval and Ranking with a Single Generative Recommendation Model.
SIGIR
Luankang Zhang, Kenan Song, Yi Quan Lee, Wei Guo, Hao Wang, Yawen Li, Huifeng Guo, Yong Liu, Defu Lian, Enhong Chen
2025 J jnl
Killing Two Birds with One Stone: Unifying Retrieval and Ranking with a Single Generative Recommendation Model.
CoRR
Luankang Zhang, Kenan Song, Yi Quan Lee, Wei Guo, Hao Wang, Yawen Li, Huifeng Guo, Yong Liu, Defu Lian, Enhong Chen
2025 J jnl
MF-GSLAE: A Multi-Factor User Representation Pre-Training Framework for Dual-Target Cross-Domain Recommendation.
ACM Trans. Inf. Syst.
Hao Wang, Mingjia Yin, Luankang Zhang, Sirui Zhao, Enhong Chen
2025 — conf
Multi-granularity Interest Retrieval and Refinement Network for Long-Term User Behavior Modeling in CTR Prediction.
KDD (1)
Xiang Xu, Hao Wang, Wei Guo, Luankang Zhang, Wanshan Yang, Runlong Yu, Yong Liu, Defu Lian, Enhong Chen
2025 J jnl
Revisiting scalable sequential recommendation with Multi-Embedding Approach and Mixture-of-Experts.
CoRR
Qiushi Pan, Hao Wang, Guoyuan An, Luankang Zhang, Wei Guo, Yong Liu
2024 — conf
A Unified Framework for Adaptive Representation Enhancement and Inversed Learning in Cross-Domain Recommendation.
DASFAA (3)
Luankang Zhang, Hao Wang, Suojuan Zhang, Mingjia Yin, Yongqiang Han, Jiaqing Zhang, Defu Lian, Enhong Chen
2024 J jnl
A Unified Framework for Adaptive Representation Enhancement and Inversed Learning in Cross-Domain Recommendation.
CoRR
Luankang Zhang, Hao Wang, Suojuan Zhang, Mingjia Yin, Yongqiang Han, Jiaqing Zhang, Defu Lian, Enhong Chen
2024 A* conf
Breaking Determinism: Fuzzy Modeling of Sequential Recommendation Using Discrete State Space Diffusion Model.
NeurIPS
Wenjia Xie, Hao Wang, Luankang Zhang, Rui Zhou, Defu Lian, Enhong Chen
2024 J jnl
Breaking Determinism: Fuzzy Modeling of Sequential Recommendation Using Discrete State Space Diffusion Model.
CoRR
Wenjia Xie, Hao Wang, Luankang Zhang, Rui Zhou, Defu Lian, Enhong Chen
2024 J jnl
Multi-granularity Interest Retrieval and Refinement Network for Long-Term User Behavior Modeling in CTR Prediction.
CoRR
Xiang Xu, Hao Wang, Wei Guo, Luankang Zhang, Wanshan Yang, Runlong Yu, Yong Liu, Defu Lian, Enhong Chen
2024 J jnl
Scaling New Frontiers: Insights into Large Recommendation Models.
CoRR
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