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Learning to Infer User Hidden States for Online Sequential Advertising

Sep 03, 2020
Zhaoqing Peng, Junqi Jin, Lan Luo, Yaodong Yang, Rui Luo, Jun Wang, Weinan Zhang, Haiyang Xu, Miao Xu, Chuan Yu, Tiejian Luo, Han Li, Jian Xu, Kun Gai

* to be published in CIKM 2020 

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A Deep Prediction Network for Understanding Advertiser Intent and Satisfaction

Aug 20, 2020
Liyi Guo, Rui Lu, Haoqi Zhang, Junqi Jin, Zhenzhe Zheng, Fan Wu, Jin Li, Haiyang Xu, Han Li, Wenkai Lu, Jian Xu, Kun Gai


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COLD: Towards the Next Generation of Pre-Ranking System

Aug 17, 2020
Zhe Wang, Liqin Zhao, Biye Jiang, Guorui Zhou, Xiaoqiang Zhu, Kun Gai

* accepted by DLP-KDD 2020 

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Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising

Jun 29, 2020
Xiaotian Hao, Zhaoqing Peng, Yi Ma, Guan Wang, Junqi Jin, Jianye Hao, Shan Chen, Rongquan Bai, Mingzhou Xie, Miao Xu, Zhenzhe Zheng, Chuan Yu, Han Li, Jian Xu, Kun Gai

* accepted by ICML 2020 

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Search-based User Interest Modeling with Lifelong Sequential Behavior Data for Click-Through Rate Prediction

Jun 29, 2020
Pi Qi, Xiaoqiang Zhu, Guorui Zhou, Yujing Zhang, Zhe Wang, Lejian Ren, Ying Fan, Kun Gai


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Learning Optimal Tree Models Under Beam Search

Jun 27, 2020
Jingwei Zhuo, Ziru Xu, Wei Dai, Han Zhu, Han Li, Jian Xu, Kun Gai

* To appear in the 37th International Conference on Machine Learning (ICML 2020) 

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DCAF: A Dynamic Computation Allocation Framework for Online Serving System

Jun 17, 2020
Biye Jiang, Pengye Zhang, Rihan Chen, Binding Dai, Xinchen Luo, Yin Yang, Guan Wang, Guorui Zhou, Xiaoqiang Zhu, Kun Gai


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Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising

May 12, 2020
Xiaotian Hao, Junqi Jin, Jianye Hao, Jin Li, Weixun Wang, Yi Ma, Zhenzhe Zheng, Han Li, Jian Xu, Kun Gai

* accepted by IJCAI 2020 

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Progressive Feature Polishing Network for Salient Object Detection

Nov 14, 2019
Bo Wang, Quan Chen, Min Zhou, Zhiqiang Zhang, Xiaogang Jin, Kun Gai

* Accepted by AAAI 2020 

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Learning to Advertise for Organic Traffic Maximization in E-Commerce Product Feeds

Aug 19, 2019
Dagui Chen, Junqi Jin, Weinan Zhang, Fei Pan, Lvyin Niu, Chuan Yu, Jun Wang, Han Li, Jian Xu, Kun Gai

* accepted by CIKM2019 

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Res-embedding for Deep Learning Based Click-Through Rate Prediction Modeling

Jun 25, 2019
Guorui Zhou, Kailun Wu, Weijie Bian, Zhao Yang, Xiaoqiang Zhu, Kun Gai


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Improve Diverse Text Generation by Self Labeling Conditional Variational Auto Encoder

Mar 26, 2019
Yuchi Zhang, Yongliang Wang, Liping Zhang, Zhiqiang Zhang, Kun Gai

* Accepted as a conference paper in ICASSP 2019. But this copy is an extended version of the submitted manuscript. With more theoretical analysis and human evaluation 

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Joint Optimization of Tree-based Index and Deep Model for Recommender Systems

Feb 19, 2019
Han Zhu, Daqing Chang, Ziru Xu, Pengye Zhang, Xiang Li, Jie He, Han Li, Jian Xu, Kun Gai


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Deep Interest Evolution Network for Click-Through Rate Prediction

Nov 06, 2018
Guorui Zhou, Na Mou, Ying Fan, Qi Pi, Weijie Bian, Chang Zhou, Xiaoqiang Zhu, Kun Gai

* 9 pages. Accepted by AAAI 2019 

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Optimized Cost per Click in Taobao Display Advertising

Nov 01, 2018
Han Zhu, Junqi Jin, Chang Tan, Fei Pan, Yifan Zeng, Han Li, Kun Gai

* Accepted by KDD 2017 

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Learning Tree-based Deep Model for Recommender Systems

Nov 01, 2018
Han Zhu, Xiang Li, Pengye Zhang, Guozheng Li, Jie He, Han Li, Kun Gai

* Accepted by KDD 2018 

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Budget Constrained Bidding by Model-free Reinforcement Learning in Display Advertising

Oct 23, 2018
Di Wu, Xiujun Chen, Xun Yang, Hao Wang, Qing Tan, Xiaoxun Zhang, Jian Xu, Kun Gai

* In The 27th ACM International Conference on Information and Knowledge Management (CIKM 18), October 22-26, 2018, Torino, Italy. ACM, New York, NY, USA, 9 pages 

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Semantic Human Matting

Sep 18, 2018
Quan Chen, Tiezheng Ge, Yanyu Xu, Zhiqiang Zhang, Xinxin Yang, Kun Gai

* ACM Multimedia 2018 

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Deep Interest Network for Click-Through Rate Prediction

Sep 13, 2018
Guorui Zhou, Chengru Song, Xiaoqiang Zhu, Ying Fan, Han Zhu, Xiao Ma, Yanghui Yan, Junqi Jin, Han Li, Kun Gai

* Accepted by KDD 2018 

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Real-Time Bidding with Multi-Agent Reinforcement Learning in Display Advertising

Sep 11, 2018
Junqi Jin, Chengru Song, Han Li, Kun Gai, Jun Wang, Weinan Zhang

* CIKM 2018, Turin, Italy 

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A Multi-Agent Reinforcement Learning Method for Impression Allocation in Online Display Advertising

Sep 10, 2018
Di Wu, Cheng Chen, Xun Yang, Xiujun Chen, Qing Tan, Jian Xu, Kun Gai


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Learning to Advertise with Adaptive Exposure via Constrained Two-Level Reinforcement Learning

Sep 10, 2018
Weixun Wang, Junqi Jin, Jianye Hao, Chunjie Chen, Chuan Yu, Weinan Zhang, Jun Wang, Yixi Wang, Han Li, Jian Xu, Kun Gai

* 10 pages, 8 figures 

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Image Matters: Visually modeling user behaviors using Advanced Model Server

Sep 04, 2018
Tiezheng Ge, Liqin Zhao, Guorui Zhou, Keyu Chen, Shuying Liu, Huimin Yi, Zelin Hu, Bochao Liu, Peng Sun, Haoyu Liu, Pengtao Yi, Sui Huang, Zhiqiang Zhang, Xiaoqiang Zhu, Yu Zhang, Kun Gai

* CIKM 2018 

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Entire Space Multi-Task Model: An Effective Approach for Estimating Post-Click Conversion Rate

Apr 24, 2018
Xiao Ma, Liqin Zhao, Guan Huang, Zhi Wang, Zelin Hu, Xiaoqiang Zhu, Kun Gai

* accept by SIGIR-2018 

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Rocket Launching: A Universal and Efficient Framework for Training Well-performing Light Net

Mar 15, 2018
Guorui Zhou, Ying Fan, Runpeng Cui, Weijie Bian, Xiaoqiang Zhu, Kun Gai

* 10 pages, AAAI2018 

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Learning Piece-wise Linear Models from Large Scale Data for Ad Click Prediction

Apr 18, 2017
Kun Gai, Xiaoqiang Zhu, Han Li, Kai Liu, Zhe Wang


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Efficient Superimposition Recovering Algorithm

Nov 19, 2012
Han Li, Kun Gai, Pinghua Gong, Changshui Zhang


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