| Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings F Pan, S Li, X Ao, P Tang, Q He Proceedings of the 42nd International ACM SIGIR Conference on Research and …, 2019 | 220 | 2019 |
| Beyond Polarity: Interpretable Financial Sentiment Analysis with Hierarchical Query-driven Attention. L Luo, X Ao, F Pan, J Wang, T Zhao, N Yu, Q He IJCAI, 4244-4250, 2018 | 73 | 2018 |
| Trust the model when it is confident: Masked model-based actor-critic F Pan, J He, D Tu, Q He Advances in neural information processing systems 33, 10537-10546, 2020 | 58 | 2020 |
| Reading like HER: Human reading inspired extractive summarization L Luo, X Ao, Y Song, F Pan, M Yang, Q He Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 52 | 2019 |
| Policy Gradients for Contextual Recommendations F Pan, Q Cai, P Tang, F Zhuang, Q He The World Wide Web Conference, 1421--1431, 2019 | 46 | 2019 |
| Gochat: Goal-oriented chatbots with hierarchical reinforcement learning J Liu, F Pan, L Luo Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020 | 28 | 2020 |
| Field-aware Calibration: A Simple and Empirically Strong Method for Reliable Probabilistic Predictions F Pan, X Ao, P Tang, M Lu, D Liu, L Xiao, Q He WWW '20, 2019 | 27 | 2019 |
| Policy Optimization with Model-based Explorations F Pan, Q Cai, AX Zeng, CX Pan, Q Da, H He, Q He, P Tang Proceedings of the AAAI Conference on Artificial Intelligence, 4675--4682, 2019 | 16 | 2019 |
| Generating synergistic formulaic alpha collections via reinforcement learning S Yu, H Xue, X Ao, F Pan, J He, D Tu, Q He Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 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 |
| Learning policy scheduling for text augmentation S Li, X Ao, F Pan, Q He Neural Networks 145, 121-127, 2022 | 13 | 2022 |
| Learn continuously, act discretely: Hybrid action-space reinforcement learning for optimal execution F Pan, T Zhang, L Luo, J He, S Liu arXiv preprint arXiv:2207.11152, 2022 | 9 | 2022 |
| Gradient-adaptive pareto optimization for constrained reinforcement learning Z Zhou, M Huang, F Pan, J He, X Ao, D Tu, Q He Proceedings of the AAAI Conference on Artificial Intelligence 37 (9), 11443 …, 2023 | 6 | 2023 |
| Style miner: Find significant and stable explanatory factors in time series with constrained reinforcement learning D Li, F Pan, J He, Z Xu, D Tu, G Fan arXiv preprint arXiv:2303.11716, 2023 | 3 | 2023 |
| Relation Reconstructive Binarization of word embeddings F Pan, S Li, X Ao, Q He Frontiers of Computer Science 16, 1-8, 2022 | 1 | 2022 |
| Page Layout Method and Apparatus J He, F Pan, X Jin, D Tu US Patent App. 18/360,497, 2023 | | 2023 |
| GuideBoot: Guided Bootstrap for Deep Contextual Banditsin Online Advertising F Pan, H Li, X Ao, W Wang, Y Kang, A Tan, Q He Proceedings of the Web Conference 2021, 2314-2323, 2021 | | 2021 |
| CCA-Flow: Deep Multi-view Subspace Learning with Inverse Autoregressive Flow J He, F Pan, F Zhuang, Q He Asian Conference on Machine Learning, 177-192, 2020 | | 2020 |
| Rethinking Pareto Approaches in Constrained Reinforcement Learning M Huang, F Pan, J He, X Ao, Q He | | |