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Junqi Jin
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2020 – today
- 2023
- [c14]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: 2406-2414 - 2022
- [c13]Haoqi Zhang
, Junqi Jin, Zhenzhe Zheng, Fan Wu, Haiyang Xu, Jian Xu:
Control-based Bidding for Mobile Livestreaming Ads with Exposure Guarantee. CIKM 2022: 2539-2548 - 2021
- [c12]Yiqing Wang, Junqi Jin, Zhenzhe Zheng, Haiyang Xu, Fan Wu, Yuning Jiang, Guihai Chen:
Multi-objective Dynamic Auction Mechanism for Online Advertising. IPCCC 2021: 1-8 - [c11]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: 2919-2927 - [i12]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 abs/2105.14188 (2021) - 2020
- [j4]Wenzheng Hu
Automatically Design Convolutional Neural Networks by Optimization With Submodularity and Supermodularity. IEEE Trans. Neural Networks Learn. Syst. 31(9): 3215-3229 (2020) - [c10]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: 1966-1968 - [c9]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: 2501-2508 - [c8]Zhaoqing Peng, Junqi Jin, Lan Luo, Yaodong Yang
Learning to Infer User Hidden States for Online Sequential Advertising. CIKM 2020: 2677-2684 - [c7]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: 4060-4070 - [c6]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: 3437-3443 - [i11]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 abs/2005.04355 (2020) - [i10]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 abs/2006.16312 (2020) - [i9]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 abs/2008.08931 (2020) - [i8]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 abs/2009.01453 (2020)
2010 – 2019
- 2019
- [c5]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: 2527-2535 - [c4]Weixun Wang
Learning Adaptive Display Exposure for Real-Time Advertising. CIKM 2019: 2595-2603 - [i7]Yi Ma, Jianye Hao, Yaodong Yang, Han Li, Junqi Jin, Guangyong Chen:
Spectral-based Graph Convolutional Network for Directed Graphs. CoRR abs/1907.08990 (2019) - [i6]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 abs/1908.06698 (2019) - 2018
- [j3]Kun Fu
Image-Text Surgery: Efficient Concept Learning in Image Captioning by Generating Pseudopairs. IEEE Trans. Neural Networks Learn. Syst. 29(12): 5910-5921 (2018) - [c3]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: 2193-2201 - [c2]Guorui Zhou, Xiaoqiang Zhu, Chengru Song, Ying Fan, Han Zhu, Xiao Ma
Deep Interest Network for Click-Through Rate Prediction. KDD 2018: 1059-1068 - [i5]Junqi Jin, Chengru Song, Han Li, Kun Gai, Jun Wang, Weinan Zhang:
Real-Time Bidding with Multi-Agent Reinforcement Learning in Display Advertising. CoRR abs/1802.09756 (2018) - [i4]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 abs/1809.03149 (2018) - 2017
- [j2]Kun Fu
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): 2321-2334 (2017) - [c1]Han Zhu, Junqi Jin, Chang Tan, Fei Pan, Yifan Zeng, Han Li, Kun Gai:
Optimized Cost per Click in Taobao Display Advertising. KDD 2017: 2191-2200 - [i3]Han Zhu, Junqi Jin, Chang Tan, Fei Pan, Yifan Zeng, Han Li, Kun Gai:
Optimized Cost per Click in Taobao Display Advertising. CoRR abs/1703.02091 (2017) - [i2]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 abs/1706.06978 (2017) - 2015
- [i1]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 abs/1506.06272 (2015) - 2014
- [j1]Junqi Jin, Kun Fu, Changshui Zhang:
Traffic Sign Recognition With Hinge Loss Trained Convolutional Neural Networks. IEEE Trans. Intell. Transp. Syst. 15(5): 1991-2000 (2014)
Coauthor Index
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