A Compare-Aggregate Model with Dynamic-Clip Attention for Answer Selection. - Weijie Bian; Si Li 001; Zhao Yang; Guang Chen 003; Zhiqing Lin (CIKM, 2017)

Improved Compare-Aggregate Model for Chinese Document-Based Question Answering. - Ziliang Wang; Weijie Bian; Si Li 001; Guang Chen 003; Zhiqing Lin (NLPCC, 2017)

Rocket Launching: A Universal and Efficient Framework for Training Well-Performing Light Net. - Guorui Zhou; Ying Fan; Runpeng Cui; Weijie Bian; Xiaoqiang Zhu; Kun Gai (AAAI, 2018)

Deep Interest Evolution Network for Click-Through Rate Prediction. - Guorui Zhou; Na Mou; Ying Fan; Qi Pi; Weijie Bian; Chang Zhou; Xiaoqiang Zhu; Kun Gai (AAAI, 2019)

Practice on Long Sequential User Behavior Modeling for Click-Through Rate Prediction. - Qi Pi; Weijie Bian; Guorui Zhou; Xiaoqiang Zhu; Kun Gai (KDD, 2019)

Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction. - Kan Ren; Jiarui Qin; Yuchen Fang; Weinan Zhang 001; Lei Zheng; Weijie Bian; Guorui Zhou; Jian Xu 015; Yong Yu 001; Xiaoqiang Zhu; Kun Gai (SIGIR, 2019)

Res-embedding for Deep Learning Based Click-Through Rate Prediction Modeling. - Guorui Zhou; Kailun Wu; Weijie Bian; Zhao Yang; Xiaoqiang Zhu; Kun Gai (CoRR, 2019)

CAN: Revisiting Feature Co-Action for Click-Through Rate Prediction. - 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; et al. (CoRR, 2020)

KEEP: An Industrial Pre-Training Framework for Online Recommendation via Knowledge Extraction and Plugging. - Yujing Zhang; Zhangming Chan; Shuhao Xu; Weijie Bian; Shuguang Han; Hongbo Deng; Bo Zheng 007 (CIKM, 2022)

Adversarial Gradient Driven Exploration for Deep Click-Through Rate Prediction. - Kailun Wu; Weijie Bian; Zhangming Chan; Lejian Ren; Shiming Xiang; Shuguang Han; Hongbo Deng; Bo Zheng 007 (KDD, 2022)

CAN: Feature Co-Action Network for Click-Through Rate Prediction. - Weijie Bian; Kailun Wu; Lejian Ren; Qi Pi; Yujing Zhang; Can Xiao; Xiang-Rong Sheng; Yong-Nan Zhu; Zhangming Chan; Na Mou; Xinchen Luo; Shiming Xiang; et al. (WSDM, 2022)

Practice on Effectively Extracting NLP Features for Click-Through Rate Prediction. - Hao Yang; Ziliang Wang; Weijie Bian; Yifan Zeng (CIKM, 2023)