Deep interest network for click-through rate prediction G Zhou, X Zhu, C Song, Y Fan, H Zhu, X Ma, Y Yan, J Jin, H Li, K Gai Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018 | 1690 | 2018 |
Traffic sign recognition with hinge loss trained convolutional neural networks J Jin, K Fu, C Zhang IEEE transactions on intelligent transportation systems 15 (5), 1991-2000, 2014 | 394 | 2014 |
Real-time bidding with multi-agent reinforcement learning in display advertising J Jin, C Song, H Li, K Gai, J Wang, W Zhang Proceedings of the 27th ACM international conference on information and …, 2018 | 197 | 2018 |
Aligning where to see and what to tell: Image captioning with region-based attention and scene-specific contexts K Fu, J Jin, R Cui, F Sha, C Zhang IEEE transactions on pattern analysis and machine intelligence 39 (12), 2321 …, 2016 | 176 | 2016 |
Optimized cost per click in taobao display advertising H Zhu, J Jin, C Tan, F Pan, Y Zeng, H Li, K Gai Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017 | 132 | 2017 |
Aligning where to see and what to tell: image caption with region-based attention and scene factorization J Jin, K Fu, R Cui, F Sha, C Zhang arXiv preprint arXiv:1506.06272, 2015 | 128 | 2015 |
Spectral-based graph convolutional network for directed graphs Y Ma, J Hao, Y Yang, H Li, J Jin, G Chen arXiv preprint arXiv:1907.08990, 2019 | 64 | 2019 |
Image-text surgery: Efficient concept learning in image captioning by generating pseudopairs K Fu, J Li, J Jin, C Zhang IEEE transactions on neural networks and learning systems 29 (12), 5910-5921, 2018 | 29 | 2018 |
Neural network architecture optimization through submodularity and supermodularity J Jin, Z Yan, K Fu, N Jiang, C Zhang stat 1050, 1, 2016 | 20 | 2016 |
Dynamic knapsack optimization towards efficient multi-channel sequential advertising X Hao, Z Peng, Y Ma, G Wang, J Jin, J Hao, S Chen, R Bai, M Xie, M Xu, ... International Conference on Machine Learning, 4060-4070, 2020 | 19 | 2020 |
Learning adaptive display exposure for real-time advertising W Wang, J Jin, J Hao, C Chen, C Yu, W Zhang, J Wang, X Hao, Y Wang, ... Proceedings of the 28th ACM International Conference on Information and …, 2019 | 12 | 2019 |
A deep prediction network for understanding advertiser intent and satisfaction L Guo, R Lu, H Zhang, J Jin, Z Zheng, F Wu, J Li, H Xu, H Li, W Lu, J Xu, ... Proceedings of the 29th ACM International Conference on Information …, 2020 | 11 | 2020 |
We know what you want: An advertising strategy recommender system for online advertising L Guo, J Jin, H Zhang, Z Zheng, Z Yang, Z Xing, F Pan, L Niu, F Wu, H Xu, ... Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 10 | 2021 |
Automatically design convolutional neural networks by optimization with submodularity and supermodularity W Hu, J Jin, TY Liu, C Zhang IEEE Transactions on Neural Networks and Learning Systems 31 (9), 3215-3229, 2019 | 9 | 2019 |
Learning to Advertise for Organic Traffic Maximization in E-Commerce Product Feeds D Chen, J Jin, W Zhang, F Pan, L Niu, C Yu, J Wang, H Li, J Xu, K Gai Proceedings of the 28th ACM International Conference on Information and …, 2019 | 5 | 2019 |
Learning to advertise with adaptive exposure via constrained two-level reinforcement learning W Wang, J Jin, J Hao, C Chen, C Yu, W Zhang, J Wang, Y Wang, H Li, ... arXiv preprint arXiv:1809.03149, 2018 | 4 | 2018 |
Learning to infer user hidden states for online sequential advertising Z Peng, J Jin, L Luo, Y Yang, R Luo, J Wang, W Zhang, H Xu, M Xu, C Yu, ... Proceedings of the 29th ACM International Conference on Information …, 2020 | 3 | 2020 |
Optimizing recurrent neural networks architectures under time constraints J Jin, Z Yan, K Fu, N Jiang, C Zhang stat 1050, 29, 2016 | 2 | 2016 |
Curriculum multi-level learning for imbalanced live-stream recommendation S Yu, J Jin, L Ma, X Gao, X Wu, H Xu, J Xu Proceedings of the Thirty-Second International Joint Conference on …, 2023 | 1 | 2023 |
Control-based Bidding for Mobile Livestreaming Ads with Exposure Guarantee H Zhang, J Jin, Z Zheng, F Wu, H Xu, J Xu Proceedings of the 31st ACM International Conference on Information …, 2022 | 1 | 2022 |