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Xiaolu Zhang
- > Home > Persons > Xiaolu Zhang
Publications
- 2023
- [c65]Ang Li, Jian Hu, Wei Lu, Ke Ding, Xiaolu Zhang, Jun Zhou, Yong He, Liang Zhang, Lihong Gu:
Global-Aware Model-Free Self-distillation for Recommendation System. DASFAA (4) 2023: 515-518 - [c59]Ang Li, Jian Hu, Ke Ding, Xiaolu Zhang, Jun Zhou, Yong He, Xu Min:
Uncertainty-based Heterogeneous Privileged Knowledge Distillation for Recommendation System. SIGIR 2023: 2471-2475 - [c58]Jieyu Yang, Liang Zhang, Yong He, Ke Ding, Zhaoxin Huan, Xiaolu Zhang, Linjian Mo:
DCBT: A Simple But Effective Way for Unified Warm and Cold Recommendation. SIGIR 2023: 3369-3373 - [i19]Zhaoxin Huan, Ke Ding, Ang Li, Xiaolu Zhang, Xu Min, Yong He, Liang Zhang, Jun Zhou, Linjian Mo, Jinjie Gu, Zhongyi Liu, Wenliang Zhong, Guannan Zhang:
AntM2C: A Large Scale Dataset For Multi-Scenario Multi-Modal CTR Prediction. CoRR abs/2308.16437 (2023) - 2022
- [c55]Ke Ding, Yong He, Xin Dong, Jieyu Yang, Liang Zhang, Ang Li, Xiaolu Zhang, Linjian Mo:
GFlow-FT: Pick a Child Network via Gradient Flow for Efficient Fine-Tuning in Recommendation Systems. CIKM 2022: 3918-3922 - [c54]Jieyu Yang, Zhaoxin Huan, Yong He, Ke Ding, Liang Zhang, Xiaolu Zhang, Jun Zhou, Linjian Mo:
Task Similarity Aware Meta Learning for Cold-Start Recommendation. CIKM 2022: 4630-4634 - 2021
- [c43]Zhaoxin Huan, Yulong Wang, Yong He, Xiaolu Zhang, Chilin Fu, Weichang Wu, Jun Zhou, Ke Ding, Liang Zhang, Linjian Mo:
Learning to Select Instance: Simultaneous Transfer Learning and Clustering. SIGIR 2021: 1950-1954 - [c42]Ke Ding, Xin Dong, Yong He, Lei Cheng, Chilin Fu, Zhaoxin Huan, Hai Li, Tan Yan, Liang Zhang, Xiaolu Zhang, Linjian Mo:
MSSM: A Multiple-level Sparse Sharing Model for Efficient Multi-Task Learning. SIGIR 2021: 2237-2241
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