| 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 | 244 | 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 | 104* | 2021 |
| FM^2: Field-matrixed Factorization Machines for CTR Prediction AF Yang Sun, Junwei Pan, Alex Zhang The Web Conference, 2021 | 89* | 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 Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 59 | 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 | 55 | 2017 |
| 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 | 54 | 2023 |
| 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 | 44 | 2022 |
| 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 | 43 | 2019 |
| 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 | 32 | 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 | 31* | 2024 |
| 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 | 28 | 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 | 28 | 2020 |
| 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 | 19 | 2020 |
| STEM: Unleashing the Power of Embeddings for Multi-task Recommendation L Su, J Pan, X Wang, X Xiao, S Quan, X Chen, J Jiang Proceedings of the AAAI Conference on Artificial Intelligence 38 (8), 9002-9010, 2024 | 16 | 2024 |
| 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 | 16 | 2022 |
| Online User Space Exploration for Recommendation L Wang, S Pan, K Lee, Q Lu, PAN Junwei US Patent 10,467,313, 2019 | 15 | 2019 |
| On the Embedding Collapse when Scaling up Recommendation Models X Guo, J Pan, X Wang, B Chen, J Jiang, M Long ICML 2024, 2023 | 14 | 2023 |
| 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 | 14 | 2021 |
| Temporal Interest Network for User Response Prediction H Zhou, J Pan, X Zhou, X Chen, J Jiang, X Gao, G Chen Companion Proceedings of the ACM on Web Conference 2024, 413-422, 2024 | 11* | 2024 |
| 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 | 11 | 2018 |
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