| Utility-based anonymization using local recoding J Xu, W Wang, J Pei, X Wang, B Shi, AWC Fu KDD, 2006 | 620 | 2006 |
| Field-weighted factorization machines for click-through rate prediction in display advertising J Pan, J Xu, AL Ruiz, W Zhao, S Pan, Y Sun, Q Lu WWW, 2018 | 239 | 2018 |
| Representing higher-order dependencies in networks J Xu, TL Wickramarathne, NV Chawla Science advances 2 (5), e1600028, 2016 | 226 | 2016 |
| Effect of metal precursors on the performance of Pt/ZSM-22 catalysts for n-hexadecane hydroisomerization Y Wang, Z Tao, B Wu, J Xu, C Huo, K Li, H Chen, Y Yang, Y Li Journal of Catalysis 322, 1-13, 2015 | 166 | 2015 |
| 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 CIKM, 2018 | 147 | 2018 |
| Maintaining k-anonymity against incremental updates J Pei, J Xu, Z Wang, W Wang, K Wang SSDBM, 2007 | 139 | 2007 |
| 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, ... SIGIR, 2019 | 135 | 2019 |
| Utility-based anonymization for privacy preservation with less information loss J Xu, W Wang, J Pei, X Wang, B Shi, AWC Fu ACM SIGKDD Explorations Newsletter 8 (2), 21-30, 2006 | 114 | 2006 |
| Smart pacing for effective online ad campaign optimization J Xu, K Lee, W Li, H Qi, Q Lu KDD, 2015 | 107 | 2015 |
| 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 NeurIPS, 2019 | 89 | 2019 |
| Bid Optimization by Multivariable Control in Display Advertising X Yang, Y Li, H Wang, D Wu, Q Tan, J Xu, K Gai KDD, 2019 | 80 | 2019 |
| Human interactive patterns in temporal networks YQ Zhang, X Li, J Xu, AV Vasilakos IEEE Transactions on Systems, Man, and Cybernetics: Systems 45 (2), 214-222, 2014 | 72 | 2014 |
| Bid-aware gradient descent for unbiased learning with censored data in display advertising W Zhang, T Zhou, J Wang, J Xu KDD, 2016 | 71 | 2016 |
| XDL: An Industrial Deep Learning Framework for High-dimensional Sparse Data B Jiang, C Deng, H Yi, Z Hu, G Zhou, Y Zheng, S Huang, X Guo, D Wang, ... DLP-KDD, 2019 | 67 | 2019 |
| Learning Optimal Tree Models under Beam Search J Zhuo, Z Xu, W Dai, H Zhu, H Li, J Xu, K Gai ICML, 2020 | 64 | 2020 |
| Method and system for enhanced content recommendation C Wang, J Xu, L Wang, Y Zou, H Zheng US Patent 10,671,679, 2020 | 57 | 2020 |
| Correlation aware synchronization for near real-time decision support Y Yan, WS Li, J Xu US Patent 8,868,497, 2014 | 57 | 2014 |
| Improving management of aquatic invasions by integrating shipping network, ecological, and environmental data: data mining for social good J Xu, TL Wickramarathne, NV Chawla, EK Grey, K Steinhaeuser, ... Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014 | 55 | 2014 |
| Neural Auction: End-to-End Learning of Auction Mechanisms for E-Commerce Advertising X Liu, C Yu, Z Zhang, Z Zheng, Y Rong, H Lv, D Huo, Y Wang, D Chen, ... KDD, 2021 | 53 | 2021 |
| A Unified Solution to Constrained Bidding in Online Display Advertising Y He, X Chen, D Wu, J Pan, Q Tan, C Yu, J Xu, X Zhu KDD, 2021 | 52 | 2021 |
Kun GaiSenior Director & Researcher, Alibaba GroupVerified email at taobao.com
