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Weijie Bian
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2020 – today
- 2023
- [c10]Hao Yang
, Ziliang Wang
Practice on Effectively Extracting NLP Features for Click-Through Rate Prediction. CIKM 2023: 4887-4893 - 2022
- [c9]Yujing Zhang, Zhangming Chan
KEEP: An Industrial Pre-Training Framework for Online Recommendation via Knowledge Extraction and Plugging. CIKM 2022: 3684-3693 - [c8]Kailun Wu, Weijie Bian, Zhangming Chan, Lejian Ren, Shiming Xiang, Shuguang Han, Hongbo Deng, Bo Zheng:
Adversarial Gradient Driven Exploration for Deep Click-Through Rate Prediction. KDD 2022: 2050-2058 - [c7]Weijie Bian, Kailun Wu
CAN: Feature Co-Action Network for Click-Through Rate Prediction. WSDM 2022: 57-65 - [i8]Yujing Zhang, Zhangming Chan, Shuhao Xu, Weijie Bian, Shuguang Han, Hongbo Deng, Bo Zheng:
KEEP: An Industrial Pre-Training Framework for Online Recommendation via Knowledge Extraction and Plugging. CoRR abs/2208.10174 (2022) - 2021
- [i7]Kailun Wu, Weijie Bian, Zhangming Chan, Lejian Ren, Shiming Xiang, Shuguang Han, Hongbo Deng, Bo Zheng:
Adversarial Gradient Driven Exploration for Deep Click-Through Rate Prediction. CoRR abs/2112.11136 (2021) - 2020
- [i6]Guorui Zhou, Weijie Bian, Kailun Wu, Lejian Ren, Qi Pi, Yujing Zhang, Can Xiao, Xiang-Rong Sheng, Na Mou, Xinchen Luo, Chi Zhang, Xianjie Qiao, Shiming Xiang, Kun Gai, Xiaoqiang Zhu, Jian Xu:
CAN: Revisiting Feature Co-Action for Click-Through Rate Prediction. CoRR abs/2011.05625 (2020)
2010 – 2019
- 2019
- [c6]Guorui Zhou, Na Mou, Ying Fan, Qi Pi, Weijie Bian, Chang Zhou, Xiaoqiang Zhu, Kun Gai:
Deep Interest Evolution Network for Click-Through Rate Prediction. AAAI 2019: 5941-5948 - [c5]Qi Pi, Weijie Bian, Guorui Zhou, Xiaoqiang Zhu, Kun Gai:
Practice on Long Sequential User Behavior Modeling for Click-Through Rate Prediction. KDD 2019: 2671-2679 - [c4]Kan Ren, Jiarui Qin
Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction. SIGIR 2019: 565-574 - [i5]Kan Ren, Jiarui Qin, Yuchen Fang, Weinan Zhang, Lei Zheng, Weijie Bian, Guorui Zhou, Jian Xu, Yong Yu, Xiaoqiang Zhu, Kun Gai:
Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction. CoRR abs/1905.00758 (2019) - [i4]Qi Pi, Weijie Bian, Guorui Zhou, Xiaoqiang Zhu, Kun Gai:
Practice on Long Sequential User Behavior Modeling for Click-Through Rate Prediction. CoRR abs/1905.09248 (2019) - [i3]Guorui Zhou, Kailun Wu, Weijie Bian, Zhao Yang, Xiaoqiang Zhu, Kun Gai:
Res-embedding for Deep Learning Based Click-Through Rate Prediction Modeling. CoRR abs/1906.10304 (2019) - 2018
- [c3]Guorui Zhou, Ying Fan, Runpeng Cui, Weijie Bian, Xiaoqiang Zhu, Kun Gai:
Rocket Launching: A Universal and Efficient Framework for Training Well-Performing Light Net. AAAI 2018: 4580-4587 - [i2]Guorui Zhou, Na Mou, Ying Fan, Qi Pi, Weijie Bian, Chang Zhou, Xiaoqiang Zhu, Kun Gai:
Deep Interest Evolution Network for Click-Through Rate Prediction. CoRR abs/1809.03672 (2018) - 2017
- [c2]Weijie Bian, Si Li, Zhao Yang, Guang Chen, Zhiqing Lin:
A Compare-Aggregate Model with Dynamic-Clip Attention for Answer Selection. CIKM 2017: 1987-1990 - [c1]Ziliang Wang, Weijie Bian, Si Li, Guang Chen, Zhiqing Lin:
Improved Compare-Aggregate Model for Chinese Document-Based Question Answering. NLPCC 2017: 712-720 - [i1]Guorui Zhou, Ying Fan, Runpeng Cui, Weijie Bian, Xiaoqiang Zhu, Kun Gai:
Rocket Launching: A Universal and Efficient Framework for Training Well-performing Light Net. CoRR abs/1708.04106 (2017)
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