Junqi Jin

According to our database, Junqi Jin authored at least 22 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Curriculum Multi-Level Learning for Imbalanced Live-Stream Recommendation.

Shuodian Yu, Junqi Jin, Li Ma, Xiaofeng Gao, Xiaopeng Wu, Haiyang Xu, Jian Xu

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

Control-based Bidding for Mobile Livestreaming Ads with Exposure Guarantee.

Haoqi Zhang, Junqi Jin, Zhenzhe Zheng, Fan Wu, Haiyang Xu, Jian Xu

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

We Know What You Want: An Advertising Strategy Recommender System for Online Advertising.

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

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Multi-objective Dynamic Auction Mechanism for Online Advertising.

Yiqing Wang, Junqi Jin, Zhenzhe Zheng, Haiyang Xu, Fan Wu, Yuning Jiang, Guihai Chen

Proceedings of the IEEE International Performance, 2021

2020

Automatically Design Convolutional Neural Networks by Optimization With Submodularity and Supermodularity.

Wenzheng Hu, Junqi Jin, Tie-Yan Liu, Changshui Zhang

IEEE Trans. Neural Networks Learn. Syst., 2020

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

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

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising.

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

Proceedings of the 37th International Conference on Machine Learning, 2020

Learning to Infer User Hidden States for Online Sequential Advertising.

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

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

A Deep Prediction Network for Understanding Advertiser Intent and Satisfaction.

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

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Sequential Advertising Agent with Interpretable User Hidden Intents.

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

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019

Spectral-based Graph Convolutional Network for Directed Graphs.

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

CoRR, 2019

Learning Adaptive Display Exposure for Real-Time Advertising.

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

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

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

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

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

Image-Text Surgery: Efficient Concept Learning in Image Captioning by Generating Pseudopairs.

Kun Fu, Jin Li, Junqi Jin, Changshui Zhang

IEEE Trans. Neural Networks Learn. Syst., 2018

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

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

CoRR, 2018

Deep Interest Network for Click-Through Rate Prediction.

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

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

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

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

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

Aligning Where to See and What to Tell: Image Captioning with Region-Based Attention and Scene-Specific Contexts.

Kun Fu, Junqi Jin, Runpeng Cui, Fei Sha, Changshui Zhang

IEEE Trans. Pattern Anal. Mach. Intell., 2017

Deep Interest Network for Click-Through Rate Prediction.

Guorui Zhou, Chengru Song, Xiaoqiang Zhu, Xiao Ma, Yanghui Yan, Xingya Dai, Han Zhu, Junqi Jin, Han Li, Kun Gai

CoRR, 2017

Optimized Cost per Click in Taobao Display Advertising.

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

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2015

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

Junqi Jin, Kun Fu, Runpeng Cui, Fei Sha, Changshui Zhang

CoRR, 2015

2014

Traffic Sign Recognition With Hinge Loss Trained Convolutional Neural Networks.

Junqi Jin, Kun Fu, Changshui Zhang

IEEE Trans. Intell. Transp. Syst., 2014