| 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 Proceedings of the 2018 World Wide Web Conference, 1349-1357, 2018 | 209 | 2018 |
| DeepLight: Deep Lightweight Feature Interactions for Accelerating CTR Predictions in Ad Serving GL Wei Deng*, Junwei Pan*, Tian Zhou, Deguang Kong, Aaron Flores WSDM, 2021 | 75* | 2021 |
| FM^2: Field-matrixed Factorization Machines for CTR Prediction AF Yang Sun, Junwei Pan, Alex Zhang The Web Conference, 2021 | 65* | 2021 |
| A practical framework of conversion rate prediction for online display advertising Q Lu, S Pan, L Wang, J Pan, F Wan, H Yang Proceedings of the ADKDD'17, 1-9, 2017 | 46 | 2017 |
| Predicting different types of conversions with multi-task learning in online advertising J Pan, Y Mao, AL Ruiz, Y Sun, A Flores Proceedings of the 25th acm sigkdd international conference on knowledge …, 2019 | 42 | 2019 |
| Cross-task knowledge distillation in multi-task recommendation C Yang, J Pan, X Gao, T Jiang, D Liu, G Chen Proceedings of the AAAI conference on artificial intelligence 36 (4), 4318-4326, 2022 | 36 | 2022 |
| 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 Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 28 | 2021 |
| An efficient deep distribution network for bid shading in first-price auctions T Zhou, H He, S Pan, N Karlsson, B Shetty, B Kitts, D Gligorijevic, ... Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 26 | 2021 |
| Bid Shading in The Brave New World of First-Price Auctions D Gligorijevic, T Zhou, B Shetty, B Kitts, S Pan, J Pan, A Flores 29TH ACM INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT, 2020 | 23 | 2020 |
| Optimizing Multiple Performance Metrics with Deep GSP Auctions for E-commerce Advertising Z Zhang, X Liu, Z Zheng, C Zhang, M Xu, J Pan, C Yu, F Wu, J Xu, K Gai arXiv preprint arXiv:2012.02930, 2021 | 22 | 2021 |
| Adatask: A task-aware adaptive learning rate approach to multi-task learning E Yang, J Pan, X Wang, H Yu, L Shen, X Chen, L Xiao, J Jiang, G Guo Proceedings of the AAAI Conference on Artificial Intelligence 37 (9), 10745 …, 2023 | 17 | 2023 |
| Trading hard negatives and true negatives: A debiased contrastive collaborative filtering approach C Yang, Q Wu, J Jin, X Gao, J Pan, G Chen arXiv preprint arXiv:2204.11752, 2022 | 15 | 2022 |
| Bid Shading by Win-Rate Estimation and Surplus Maximization S Pan, B Kitts, T Zhou, H He, B Shetty, A Flores, D Gligorijevic, J Pan, ... Proceedings of the ADKDD'20, 2020 | 15 | 2020 |
| Online user space exploration for recommendation L Wang, S Pan, K Lee, Q Lu, PAN Junwei US Patent 10,467,313, 2019 | 13 | 2019 |
| Follow the prophet: Accurate online conversion rate prediction in the face of delayed feedback H Li, F Pan, X Ao, Z Yang, M Lu, J Pan, D Liu, L Xiao, Q He Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 10 | 2021 |
| A batched multi-armed bandit approach to news headline testing Y Mao, M Chen, A Wagle, J Pan, M Natkovich, D Matheson 2018 IEEE International Conference on Big Data (Big Data), 1966-1973, 2018 | 10 | 2018 |
| Forkmerge: Overcoming negative transfer in multi-task learning J Jiang, B Chen, J Pan, X Wang, L Dapeng, J Jiang, M Long arXiv preprint arXiv:2301.12618 2 (3), 4, 2023 | 8 | 2023 |
| Temporal interest network for click-through rate prediction H Zhou, J Pan, X Zhou, X Chen, J Jiang, X Gao, G Chen arXiv preprint arXiv:2308.08487, 2023 | 5 | 2023 |
| Impression Allocation and Policy Search in Display Advertising D Wu, C Chen, X Chen, J Pan, X Yang, Q Tan, J Xu, KC Lee ICDM, 2021 | 5 | 2021 |
| ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning J Jiang, B Chen, J Pan, X Wang, D Liu, J Jiang, M Long Advances in Neural Information Processing Systems 36, 2024 | 3 | 2024 |
Tian ZhouYahoo ResearchVerified email at verizonmedia.com
