
Yongjun Bao
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2020 – today
- 2020
- [j1]Jun Fu, Jing Liu
, Yong Li, Yongjun Bao, Weipeng Yan, Zhiwei Fang, Hanqing Lu:
Contextual deconvolution network for semantic segmentation. Pattern Recognit. 101: 107152 (2020) - [c14]Zihao Zhao, Zhiwei Fang, Yong Li, Changping Peng, Yongjun Bao, Weipeng Yan:
Dimension Relation Modeling for Click-Through Rate Prediction. CIKM 2020: 2333-2336 - [c13]Yiding Liu, Yulong Gu, Zhuoye Ding, Junchao Gao, Ziyi Guo, Yongjun Bao, Weipeng Yan:
Decoupled Graph Convolution Network for Inferring Substitutable and Complementary Items. CIKM 2020: 2621-2628 - [c12]Hengyi Cai, Hongshen Chen, Yonghao Song, Zhuoye Ding, Yongjun Bao, Weipeng Yan, Xiaofang Zhao:
Group-wise Contrastive Learning for Neural Dialogue Generation. EMNLP (Findings) 2020: 793-802 - [c11]Yumin Su, Liang Zhang, Quanyu Dai, Bo Zhang, Jinyao Yan, Dan Wang, Yongjun Bao, Sulong Xu, Yang He, Weipeng Yan:
An Attention-based Model for Conversion Rate Prediction with Delayed Feedback via Post-click Calibration. IJCAI 2020: 3522-3528 - [c10]Hu Liu, Jing Lu, Hao Yang, Xiwei Zhao, Sulong Xu, Hao Peng, Zehua Zhang, Wenjie Niu, Xiaokun Zhu, Yongjun Bao, Weipeng Yan:
Category-Specific CNN for Visual-aware CTR Prediction at JD.com. KDD 2020: 2686-2696 - [c9]Hu Liu, Jing Lu, Xiwei Zhao, Sulong Xu, Hao Peng, Yutong Liu, Zehua Zhang, Jian Li, Junsheng Jin, Yongjun Bao, Weipeng Yan:
Kalman Filtering Attention for User Behavior Modeling in CTR Prediction. NeurIPS 2020 - [c8]Yu Liu, Xiaoxiao Xu, Jincheng Wang, Yong Li, Changping Peng, Yongjun Bao, Weipeng P. Yan:
A Joint Dynamic Ranking System with DNN and Vector-based Clustering Bandit. RecSys 2020: 645-650 - [c7]Yong Li, Zihao Zhao, Zhiwei Fang, Kui Ma, Yafei Yao, Changping Peng, Yongjun Bao, Weipeng Yan:
Smart Targeting: A Relevance-driven and Configurable Targeting Framework for Advertising System. RecSys 2020: 720-725 - [c6]Dongyang Zhao, Liang Zhang, Bo Zhang, Lizhou Zheng, Yongjun Bao, Weipeng Yan:
MaHRL: Multi-goals Abstraction Based Deep Hierarchical Reinforcement Learning for Recommendations. SIGIR 2020: 871-880 - [i7]Hu Liu, Jing Lu, Hao Yang, Xiwei Zhao, Sulong Xu, Hao Peng, Zehua Zhang, Wenjie Niu, Xiaokun Zhu, Yongjun Bao, Weipeng Yan:
Category-Specific CNN for Visual-aware CTR Prediction at JD.com. CoRR abs/2006.10337 (2020) - [i6]Hengyi Cai, Hongshen Chen, Yonghao Song, Zhuoye Ding, Yongjun Bao, Weipeng Yan, Xiaofang Zhao:
Group-wise Contrastive Learning for Neural Dialogue Generation. CoRR abs/2009.07543 (2020) - [i5]Hu Liu, Jing Lu, Xiwei Zhao, Sulong Xu, Hao Peng, Yutong Liu, Zehua Zhang, Jian Li, Junsheng Jin, Yongjun Bao, Weipeng Yan:
Kalman Filtering Attention for User Behavior Modeling in CTR Prediction. CoRR abs/2010.00985 (2020) - [i4]Junyou He, Guibao Mei, Feng Xing, Xiaorui Yang, Yongjun Bao, Weipeng Yan:
DADNN: Multi-Scene CTR Prediction via Domain-Aware Deep Neural Network. CoRR abs/2011.11938 (2020)
2010 – 2019
- 2019
- [c5]Yikai Wang, Liang Zhang, Quanyu Dai, Fuchun Sun, Bo Zhang, Yang He, Weipeng Yan, Yongjun Bao:
Regularized Adversarial Sampling and Deep Time-aware Attention for Click-Through Rate Prediction. CIKM 2019: 349-358 - [c4]Jun Fu, Jing Liu, Haijie Tian, Yong Li, Yongjun Bao, Zhiwei Fang, Hanqing Lu:
Dual Attention Network for Scene Segmentation. CVPR 2019: 3146-3154 - [c3]Jun Fu, Jing Liu, Yuhang Wang, Yong Li, Yongjun Bao, Jinhui Tang, Hanqing Lu:
Adaptive Context Network for Scene Parsing. ICCV 2019: 6747-6756 - [i3]Dongyang Zhao, Liang Zhang, Bo Zhang, Lizhou Zheng, Yongjun Bao, Weipeng Yan:
Deep Hierarchical Reinforcement Learning Based Recommendations via Multi-goals Abstraction. CoRR abs/1903.09374 (2019) - [i2]Yikai Wang, Liang Zhang, Quanyu Dai, Fuchun Sun, Bo Zhang, Yang He, Weipeng Yan, Yongjun Bao:
Regularized Adversarial Sampling and Deep Time-aware Attention for Click-Through Rate Prediction. CoRR abs/1911.00886 (2019) - [i1]Jun Fu, Jing Liu, Yuhang Wang, Yong Li, Yongjun Bao, Jinhui Tang, Hanqing Lu:
Adaptive Context Network for Scene Parsing. CoRR abs/1911.01664 (2019) - 2018
- [c2]Yan Yan, Zitao Liu, Meng Zhao, Wentao Guo, Weipeng P. Yan, Yongjun Bao:
A Practical Deep Online Ranking System in E-commerce Recommendation. ECML/PKDD (3) 2018: 186-201
2000 – 2009
- 2005
- [c1]Jing He, Cheng Chen, Conglei Yao, Ping Yin, Yongjun Bao:
Peking University at the TREC 2005 Question and Answering Track. TREC 2005
Coauthor Index

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