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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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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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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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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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Spectral-based Graph Convolutional Network for Directed Graphs

Jul 21, 2019
Yi Ma, Jianye Hao, Yaodong Yang, Han Li, Junqi Jin, Guangyong Chen


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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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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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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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Optimizing Recurrent Neural Networks Architectures under Time Constraints

Feb 21, 2018
Junqi Jin, Ziang Yan, Kun Fu, Nan Jiang, Changshui Zhang

* Withdrawn due to incompleteness and some overlaps with existing literatures, I will resubmit adding further results 

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Neural Network Architecture Optimization through Submodularity and Supermodularity

Feb 21, 2018
Junqi Jin, Ziang Yan, Kun Fu, Nan Jiang, Changshui Zhang

* Withdrawn due to incompleteness and some overlaps with existing literatures, I will resubmit adding further results 

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Aligning where to see and what to tell: image caption with region-based attention and scene factorization

Jun 20, 2015
Junqi Jin, Kun Fu, Runpeng Cui, Fei Sha, Changshui Zhang


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