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 | 388 | 2018 |
Deep interest evolution network for click-through rate prediction G Zhou, N Mou, Y Fan, Q Pi, W Bian, C Zhou, X Zhu, K Gai Proceedings of the AAAI conference on artificial intelligence 33 (01), 5941-5948, 2019 | 160 | 2019 |
Blind separation of superimposed moving images using image statistics K Gai, Z Shi, C Zhang IEEE transactions on pattern analysis and machine intelligence 34 (1), 19-32, 2011 | 104 | 2011 |
Learning tree-based deep model for recommender systems H Zhu, X Li, P Zhang, G Li, J He, H Li, K Gai Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 77 | 2018 |
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 | 67 | 2018 |
Learning kernels with radiuses of minimum enclosing balls K Gai, G Chen, C Zhang Advances in neural information processing systems 23, 649-657, 2010 | 55 | 2010 |
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 | 44 | 2017 |
Blindly separating mixtures of multiple layers with spatial shifts K Gai, Z Shi, C Zhang 2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008 | 44 | 2008 |
Entire space multi-task model: An effective approach for estimating post-click conversion rate X Ma, L Zhao, G Huang, Z Wang, Z Hu, X Zhu, K Gai The 41st International ACM SIGIR Conference on Research & Development in …, 2018 | 40 | 2018 |
Rocket launching: A universal and efficient framework for training well-performing light net G Zhou, Y Fan, R Cui, W Bian, X Zhu, K Gai Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 36 | 2018 |
Budget constrained bidding by model-free reinforcement learning in display advertising D Wu, X Chen, X Yang, H Wang, Q Tan, X Zhang, J Xu, K Gai Proceedings of the 27th ACM International Conference on Information and …, 2018 | 33 | 2018 |
Practice on long sequential user behavior modeling for click-through rate prediction Q Pi, W Bian, G Zhou, X Zhu, K Gai Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 31 | 2019 |
Semantic human matting Q Chen, T Ge, Y Xu, Z Zhang, X Yang, K Gai Proceedings of the 26th ACM international conference on Multimedia, 618-626, 2018 | 31 | 2018 |
Learning piece-wise linear models from large scale data for ad click prediction K Gai, X Zhu, H Li, K Liu, Z Wang arXiv preprint arXiv:1704.05194, 2017 | 29 | 2017 |
Blind separation of superimposed images with unknown motions K Gai, Z Shi, C Zhang 2009 IEEE Conference on Computer Vision and Pattern Recognition, 1881-1888, 2009 | 27 | 2009 |
Efficient euclidean projections via piecewise root finding and its application in gradient projection P Gong, K Gai, C Zhang Neurocomputing 74 (17), 2754-2766, 2011 | 26 | 2011 |
Lifelong sequential modeling with personalized memorization for user response prediction K Ren, J Qin, Y Fang, W Zhang, L Zheng, W Bian, G Zhou, J Xu, Y Yu, ... Proceedings of the 42nd International ACM SIGIR Conference on Research and …, 2019 | 22 | 2019 |
Image matters: Visually modeling user behaviors using advanced model server T Ge, L Zhao, G Zhou, K Chen, S Liu, H Yi, Z Hu, B Liu, P Sun, H Liu, P Yi, ... Proceedings of the 27th ACM International Conference on Information and …, 2018 | 16 | 2018 |
Joint optimization of tree-based index and deep model for recommender systems H Zhu, D Chang, Z Xu, P Zhang, X Li, J He, H Li, J Xu, K Gai arXiv preprint arXiv:1902.07565, 2019 | 12 | 2019 |
Learning discriminative piecewise linear models with boundary points K Gai, C Zhang Proceedings of the AAAI Conference on Artificial Intelligence 24 (1), 2010 | 11 | 2010 |