Junqi Jin

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 28

Top Topics

Reinforcement Learning

Convolutional Neural Networks

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Shuodian Yu, Junqi Jin, Li Ma, Xiaofeng Gao, Xiaopeng Wu, Haiyang Xu, Jian Xu
Curriculum Multi-Level Learning for Imbalanced Live-Stream Recommendation. IJCAI (2023)
Haoqi Zhang, Junqi Jin, Zhenzhe Zheng, Fan Wu, Haiyang Xu, Jian Xu
Control-based Bidding for Mobile Livestreaming Ads with Exposure Guarantee. CIKM (2022)
Liyi Guo, Junqi Jin, Haoqi Zhang, Zhenzhe Zheng, Zhiye Yang, Zhizhuang Xing, Fei Pan, Fan Wu, Lvyin Niu, Haiyang Xu, Chuan Yu, Yuning Jiang, Xiaoqiang Zhu
We Know What You Want: An Advertising Strategy Recommender System for Online Advertising. CoRR (2021)
Liyi Guo, Junqi Jin, Haoqi Zhang, Zhenzhe Zheng, Zhiye Yang, Zhizhuang Xing, Fei Pan, Lvyin Niu, Fan Wu, Haiyang Xu, Chuan Yu, Yuning Jiang, Xiaoqiang Zhu
We Know What You Want: An Advertising Strategy Recommender System for Online Advertising. KDD (2021)
Yiqing Wang, Junqi Jin, Zhenzhe Zheng, Haiyang Xu, Fan Wu, Yuning Jiang, Guihai Chen
Multi-objective Dynamic Auction Mechanism for Online Advertising. IPCCC (2021)
Xiaotian Hao, Junqi Jin, Jianye Hao, Jin Li, Weixun Wang, Yi Ma, Zhenzhe Zheng, Han Li, Jian Xu, Kun Gai
Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising. CoRR (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
Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising. CoRR (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
A Deep Prediction Network for Understanding Advertiser Intent and Satisfaction. CoRR (2020)
Wenzheng Hu, Junqi Jin, Tie-Yan Liu, Changshui Zhang
Automatically Design Convolutional Neural Networks by Optimization With Submodularity and Supermodularity. IEEE Trans. Neural Networks Learn. Syst. 31 (9) (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
Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising. ICML (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
Learning to Infer User Hidden States for Online Sequential Advertising. CoRR (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
A Deep Prediction Network for Understanding Advertiser Intent and Satisfaction. CIKM (2020)
Zhaoqing Peng, Junqi Jin, Lan Luo, Yaodong Yang, Rui Luo, Jun Wang, Weinan Zhang, Miao Xu, Chuan Yu, Tiejian Luo, Han Li, Jian Xu, Kun Gai
Sequential Advertising Agent with Interpretable User Hidden Intents. AAMAS (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
Learning to Infer User Hidden States for Online Sequential Advertising. CIKM (2020)
Xiaotian Hao, Junqi Jin, Jianye Hao, Jin Li, Weixun Wang, Yi Ma, Zhenzhe Zheng, Han Li, Jian Xu, Kun Gai
Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising. IJCAI (2020)
Dagui Chen, Junqi Jin, Weinan Zhang, Fei Pan, Lvyin Niu, Chuan Yu, Jun Wang, Han Li, Jian Xu, Kun Gai
Learning to Advertise for Organic Traffic Maximization in E-Commerce Product Feeds. CIKM (2019)
Weixun Wang, Junqi Jin, Jianye Hao, Chunjie Chen, Chuan Yu, Weinan Zhang, Jun Wang, Xiaotian Hao, Yixi Wang, Han Li, Jian Xu, Kun Gai
Learning Adaptive Display Exposure for Real-Time Advertising. CIKM (2019)
Yi Ma, Jianye Hao, Yaodong Yang, Han Li, Junqi Jin, Guangyong Chen
Spectral-based Graph Convolutional Network for Directed Graphs. CoRR (2019)
Dagui Chen, Junqi Jin, Weinan Zhang, Fei Pan, Lvyin Niu, Chuan Yu, Jun Wang, Han Li, Jian Xu, Kun Gai
Learning to Advertise for Organic Traffic Maximization in E-Commerce Product Feeds. CoRR (2019)
Guorui Zhou, Xiaoqiang Zhu, Chengru Song, Ying Fan, Han Zhu, Xiao Ma, Yanghui Yan, Junqi Jin, Han Li, Kun Gai
Deep Interest Network for Click-Through Rate Prediction. KDD (2018)
Kun Fu, Jin Li, Junqi Jin, Changshui Zhang
Image-Text Surgery: Efficient Concept Learning in Image Captioning by Generating Pseudopairs. IEEE Trans. Neural Networks Learn. Syst. 29 (12) (2018)
Junqi Jin, Chengru Song, Han Li, Kun Gai, Jun Wang, Weinan Zhang
Real-Time Bidding with Multi-Agent Reinforcement Learning in Display Advertising. CIKM (2018)
Junqi Jin, Chengru Song, Han Li, Kun Gai, Jun Wang, Weinan Zhang
Real-Time Bidding with Multi-Agent Reinforcement Learning in Display Advertising. CoRR (2018)
Weixun Wang, Junqi Jin, Jianye Hao, Chunjie Chen, Chuan Yu, Weinan Zhang, Jun Wang, Yixi Wang, Han Li, Jian Xu, Kun Gai
Learning to Advertise with Adaptive Exposure via Constrained Two-Level Reinforcement Learning. CoRR (2018)
Han Zhu, Junqi Jin, Chang Tan, Fei Pan, Yifan Zeng, Han Li, Kun Gai
Optimized Cost per Click in Taobao Display Advertising. KDD (2017)
Han Zhu, Junqi Jin, Chang Tan, Fei Pan, Yifan Zeng, Han Li, Kun Gai
Optimized Cost per Click in Taobao Display Advertising. CoRR (2017)
Guorui Zhou, Chengru Song, Xiaoqiang Zhu, Xiao Ma, Yanghui Yan, Xingya Dai, Han Zhu, Junqi Jin, Han Li, Kun Gai
Deep Interest Network for Click-Through Rate Prediction. CoRR (2017)
Kun Fu, Junqi Jin, Runpeng Cui, Fei Sha, Changshui Zhang
Aligning Where to See and What to Tell: Image Captioning with Region-Based Attention and Scene-Specific Contexts. IEEE Trans. Pattern Anal. Mach. Intell. 39 (12) (2017)
Junqi Jin, Kun Fu, Runpeng Cui, Fei Sha, Changshui Zhang
Aligning where to see and what to tell: image caption with region-based attention and scene factorization. CoRR (2015)
Junqi Jin, Kun Fu, Changshui Zhang
Traffic Sign Recognition With Hinge Loss Trained Convolutional Neural Networks. IEEE Trans. Intell. Transp. Syst. 15 (5) (2014)