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Journal Articles
- 2024
[j1]Zizhong Zhu, Shuang Li, Yaokun Liu, Xiaowang Zhang, Zhiyong Feng, Yuexian Hou:
High-level preferences as positive examples in contrastive learning for multi-interest sequential recommendation. World Wide Web (WWW) 27(2): 21 (2024)
Conference and Workshop Papers
- 2024
- [c6]Yujian Zhang, Yaokun Liu, Jinyu Xu, Yanhao Wang:
Predecessor-aware Directed Greybox Fuzzing. SP 2024: 1884-1900 - [c5]Yaokun Liu
, Xiaowang Zhang, Minghui Zou, Zhiyong Feng:
Attribute Simulation for Item Embedding Enhancement in Multi-interest Recommendation. WSDM 2024: 482-491 - 2023
- [c4]Xueyu Huang, Haoyu Shi, Yaokun Liu, Haoran Lu:
Image Classification Algorithm for Graphite Ore Carbon Grade Based on Multi-scale Feature Fusion. MONAMI 2023: 166-177 - [c3]Jionghui Wang, Yaokun Liu, Xueyu Huang, Shaopeng Chang:
Graphite Ore Grade Classification Algorithm Based on Multi-scale Fused Image Features. MONAMI 2023: 178-198 - [c2]Yaokun Liu, Xiaowang Zhang, Minghui Zou, Zhiyong Feng:
Co-occurrence Embedding Enhancement for Long-tail Problem in Multi-Interest Recommendation. RecSys 2023: 820-825 - [c1]Shuang Li, Yaokun Liu, Xiaowang Zhang, Yuexian Hou, Zhiyong Feng:
Multi-interest Recommendation on Shopping for Others. WWW (Companion Volume) 2023: 176-179
Informal and Other Publications
- 2023
- [i1]Yaokun Liu, Xiaowang Zhang, Minghui Zou, Zhiyong Feng:
Attribute Simulation for Item Embedding Enhancement in Multi-interest Recommendation. CoRR abs/2311.17374 (2023)
Coauthor Index
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