Yu Zhu

According to our database, Yu Zhu authored at least 15 papers between 2016 and 2025.

Collaborative distances:

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

2025

Equip Pre-ranking with Target Attention by Residual Quantization.

Yutong Li, Yu Zhu, Yichen Qiao, Ziyu Guan, Lv Shao, Tong Liu, Bo Zheng

CoRR, September, 2025

2021

Personalized Adaptive Meta Learning for Cold-start User Preference Prediction.

Runsheng Yu, Yu Gong, Xu He, Yu Zhu, Qingwen Liu, Wenwu Ou, Bo An

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Addressing the Item Cold-Start Problem by Attribute-Driven Active Learning.

Yu Zhu, Jinghao Lin, Shibi He, Beidou Wang, Ziyu Guan, Haifeng Liu, Deng Cai

IEEE Trans. Knowl. Data Eng., 2020

2019

Exact-K Recommendation via Maximal Clique Optimization.

Yu Gong, Yu Zhu, Lu Duan, Qingwen Liu, Ziyu Guan, Fei Sun, Wenwu Ou, Kenny Q. Zhu

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Deep Session Interest Network for Click-Through Rate Prediction.

Yufei Feng, Fuyu Lv, Weichen Shen, Menghan Wang, Fei Sun, Yu Zhu, Keping Yang

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Query-based Interactive Recommendation by Meta-Path and Adapted Attention-GRU.

Yu Zhu, Yu Gong, Qingwen Liu, Yingcai Ma, Wenwu Ou, Junxiong Zhu, Beidou Wang, Ziyu Guan, Deng Cai

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Deep Cascade Multi-Task Learning for Slot Filling in Online Shopping Assistant.

Yu Gong, Xusheng Luo, Yu Zhu, Wenwu Ou, Zhao Li, Muhua Zhu, Kenny Q. Zhu, Lu Duan, Xi Chen

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Addressing the Item Cold-start Problem by Attribute-driven Active Learning.

Yu Zhu, Jinhao Lin, Shibi He, Beidou Wang, Ziyu Guan, Haifeng Liu, Deng Cai

CoRR, 2018

A Brand-level Ranking System with the Customized Attention-GRU Model.

Yu Zhu, Junxiong Zhu, Jie Hou, Yongliang Li, Beidou Wang, Ziyu Guan, Deng Cai

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Translating Embeddings for Knowledge Graph Completion with Relation Attention Mechanism.

Wei Qian, Cong Fu, Yu Zhu, Deng Cai, Xiaofei He

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Device-Aware Rule Recommendation for the Internet of Things.

Beidou Wang, Xin Guo, Martin Ester, Ziyu Guan, Bandeep Singh, Yu Zhu, Jiajun Bu, Deng Cai

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

What to Do Next: Modeling User Behaviors by Time-LSTM.

Yu Zhu, Hao Li, Yikang Liao, Beidou Wang, Ziyu Guan, Haifeng Liu, Deng Cai

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

Heterogeneous hypergraph embedding for document recommendation.

Yu Zhu, Ziyu Guan, Shulong Tan, Haifeng Liu, Deng Cai, Xiaofei He

Neurocomputing, 2016

Which to View: Personalized Prioritization for Broadcast Emails.

Beidou Wang, Martin Ester, Jiajun Bu, Yu Zhu, Ziyu Guan, Deng Cai

Proceedings of the 25th International Conference on World Wide Web, 2016

The Million Domain Challenge: Broadcast Email Prioritization by Cross-domain Recommendation.

Beidou Wang, Martin Ester, Yikang Liao, Jiajun Bu, Yu Zhu, Ziyu Guan, Deng Cai

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016