Beidou Wang

According to our database, Beidou Wang authored at least 14 papers between 2013 and 2020.

Collaborative distances:

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

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

Personalized Attraction Enhanced Sponsored Search with Multi-task Learning.

Wei Zhao, Boxuan Zhang, Beidou Wang, Ziyu Guan, Wanxian Guan, Guang Qiu, Wei Ning, Jiming Chen, Hongmin Liu

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

Local Metric Learning Based on Anchor Points for Multimedia Analysis.

Chunbin Gu, Jiajun Bu, Keyue Shi, Zhi Yu, Beidou Wang, Liangcheng Li

Proceedings of the IEEE International Conference on Multimedia and Expo, 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

2018

Weakly-Supervised Deep Embedding for Product Review Sentiment Analysis.

Wei Zhao, Ziyu Guan, Long Chen, Xiaofei He, Deng Cai, Beidou Wang, Quan Wang

IEEE Trans. Knowl. Data Eng., 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

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

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

2014

Who Also Likes It? Generating the Most Persuasive Social Explanations in Recommender Systems.

Beidou Wang, Martin Ester, Jiajun Bu, Deng Cai

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Locally discriminative spectral clustering with composite manifold.

Ping Li, Jiajun Bu, Bin Xu, Beidou Wang, Chun Chen

Neurocomputing, 2013

Whom to mention: expand the diffusion of tweets by @ recommendation on micro-blogging systems.

Beidou Wang, Can Wang, Jiajun Bu, Chun Chen, Wei Vivian Zhang, Deng Cai, Xiaofei He

Proceedings of the 22nd International World Wide Web Conference, 2013