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 | 118 | 2019 |
An Efficient Neighborhood-based Interaction Model for Recommendation on Heterogeneous Graph J Jin, J Qin, Y Fang Proceedings of the 2020 ACM Conference on Knowledge Discovery and Data …, 2020 | 116* | 2020 |
User behavior retrieval for click-through rate prediction J Qin, W Zhang, X Wu, J Jin, Y Fang, Y Yu Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020 | 105 | 2020 |
Spatio-temporal graph neural networks for predictive learning in urban computing: A survey G Jin, Y Liang, Y Fang, Z Shao, J Huang, J Zhang, Y Zheng IEEE Transactions on Knowledge and Data Engineering, 2023 | 88 | 2023 |
Sequential recommendation with dual side neighbor-based collaborative relation modeling J Qin, K Ren, Y Fang, W Zhang, Y Yu Proceedings of the 13th international conference on web search and data …, 2020 | 49 | 2020 |
Learning multi-touch conversion attribution with dual-attention mechanisms for online advertising K Ren, Y Fang, W Zhang, S Liu, J Li, Y Zhang, Y Yu, J Wang Proceedings of the 27th acm international conference on information and …, 2018 | 42 | 2018 |
Universal trading for order execution with oracle policy distillation Y Fang, K Ren, W Liu, D Zhou, W Zhang, J Bian, Y Yu, TY Liu Proceedings of the AAAI Conference on Artificial Intelligence 35 (1), 107-115, 2021 | 40 | 2021 |
Look-ahead bidding strategy for concentrating solar power plants with wind farms Y Fang, S Zhao Energy 203, 117895, 2020 | 30 | 2020 |
A deep recurrent survival model for unbiased ranking J Jin, Y Fang, W Zhang, K Ren, G Zhou, J Xu, Y Yu, J Wang, X Zhu, K Gai Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020 | 25 | 2020 |
Learning all dynamics: Traffic forecasting via locality-aware spatio-temporal joint transformer Y Fang, F Zhao, Y Qin, H Luo, C Wang IEEE Transactions on Intelligent Transportation Systems 23 (12), 23433-23446, 2022 | 22 | 2022 |
Coordinated operation of concentrating solar power plant and wind farm for frequency regulation Y Fang, S Zhao, E Du, S Li, Z Li Journal of Modern Power Systems and Clean Energy 9 (4), 751-759, 2021 | 22 | 2021 |
Spatio-temporal hierarchical MLP network for traffic forecasting Y Qin, H Luo, F Zhao, Y Fang, X Tao, C Wang Information Sciences 632, 543-554, 2023 | 15 | 2023 |
Next point-of-interest recommendation with auto-correlation enhanced multi-modal transformer network Y Qin, Y Fang, H Luo, F Zhao, C Wang Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 14 | 2022 |
Risk-constrained optimal scheduling with combining heat and power for concentrating solar power plants Y Fang, S Zhao Solar Energy 208, 937-948, 2020 | 14 | 2020 |
Multi-objective unit commitment of jointly concentrating solar power plant and wind farm for providing peak-shaving considering operational risk Y Fang, S Zhao, Z Chen International Journal of Electrical Power & Energy Systems 137, 107754, 2022 | 13 | 2022 |
When spatio-temporal meet wavelets: Disentangled traffic forecasting via efficient spectral graph attention networks Y Fang, Y Qin, H Luo, F Zhao, B Xu, L Zeng, C Wang 2023 IEEE 39th International Conference on Data Engineering (ICDE), 517-529, 2023 | 12 | 2023 |
Cdgnet: A cross-time dynamic graph-based deep learning model for traffic forecasting Y Fang, Y Qin, H Luo, F Zhao, L Zeng, B Hui, C Wang arXiv preprint arXiv:2112.02736, 2021 | 12 | 2021 |
Fine-grained trajectory-based travel time estimation for multi-city scenarios based on deep meta-learning C Wang, F Zhao, H Zhang, H Luo, Y Qin, Y Fang IEEE Transactions on Intelligent Transportation Systems 23 (9), 15716-15728, 2022 | 11 | 2022 |
Concentrating solar power station optimal operation model Y Fang, S Zhao, Z Li 2018 2nd IEEE Conference on Energy Internet and Energy System Integration …, 2018 | 11 | 2018 |
Dmgcrn: Dynamic multi-graph convolution recurrent network for traffic forecasting Y Qin, Y Fang, H Luo, F Zhao, C Wang arXiv preprint arXiv:2112.02264, 2021 | 10 | 2021 |