| Modeling the intensity function of point process via recurrent neural networks S Xiao, J Yan, S M.Chu, X Yang, H Zha Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence …, 2017 | 340 | 2017 |
| Wasserstein Learning of Deep Generative Point Process Models S Xiao, M Farajtabar, X Ye, J Yan, L Song, H Zha Advances in neural information processing systems, 2017 | 210 | 2017 |
| Learning time series associated event sequences with recurrent point process networks S Xiao, J Yan, M Farajtabar, L Song, X Yang, H Zha IEEE transactions on neural networks and learning systems 30 (10), 3124-3136, 2019 | 166* | 2019 |
| Learning temporal point processes via reinforcement learning S Li, S Xiao, S Zhu, N Du, Y Xie, L Song Advances in neural information processing systems 31, 2018 | 129 | 2018 |
| On modeling and predicting individual paper citation count over time S Xiao, J Yan, C Li, B Jin, X Wang, X Yang, SM Chu, H Zha Proceedings of the Twenty-Fifth International Joint Conference on Artificial …, 2016 | 109 | 2016 |
| Learning conditional generative models for temporal point processes S Xiao, H Xu, J Yan, M Farajtabar, X Yang, L Song, H Zha Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 62 | 2018 |
| On predictive patent valuation: Forecasting patent citations and their types X Liu, J Yan, S Xiao, X Wang, H Zha, SM Chu Thirty-First AAAI Conference on Artificial Intelligence, 2017 | 57 | 2017 |
| Modeling Contagious Merger and Acquisition via Point Processes with a Profile Regression Prior J Yan, S Xiao, C Li, B Jin, X Wang, B Ke, X Yang, H Zha Proceedings of the Twenty-Fifth International Joint Conference on Artificial …, 2016 | 30 | 2016 |
| Model-based constrained MDP for budget allocation in sequential incentive marketing S Xiao, L Guo, Z Jiang, L Lv, Y Chen, J Zhu, S Yang Proceedings of the 28th ACM International Conference on Information and …, 2019 | 24 | 2019 |
| Forgedit: Text guided image editing via learning and forgetting S Zhang, S Xiao, W Huang arXiv preprint arXiv:2309.10556, 2023 | 18 | 2023 |
| Wear-any-way: Manipulable virtual try-on via sparse correspondence alignment M Chen, X Chen, Z Zhai, C Ju, X Hong, J Lan, S Xiao European Conference on Computer Vision, 124-142, 2024 | 17 | 2024 |
| Traffic anomaly prediction based on joint static-dynamic spatio-temporal evolutionary learning X Liu, Z Zhang, L Lyu, Z Zhang, S Xiao, C Shen, SY Philip IEEE Transactions on Knowledge and Data Engineering 35 (5), 5356-5370, 2022 | 11 | 2022 |
| Tunnel try-on: Excavating spatial-temporal tunnels for high-quality virtual try-on in videos Z Xu, M Chen, Z Wang, L Xing, Z Zhai, N Sang, J Lan, S Xiao, C Gao Proceedings of the 32nd ACM International Conference on Multimedia, 3199-3208, 2024 | 10 | 2024 |
| Enhancing cross-domain click-through rate prediction via explicit feature augmentation X Chen, Z Cheng, J Yao, C Ju, W Huang, J Lan, X Zeng, S Xiao Companion Proceedings of the ACM on Web Conference 2024, 423-432, 2024 | 10 | 2024 |
| Unsupervised human skeleton extraction from Kinect depth images W Shen, S Xiao, N Jiang, W Liu Proceedings of the 4th International Conference on Internet Multimedia …, 2012 | 7 | 2012 |
| Mixer: Image to multi-modal retrieval learning for industrial application Z Cheng, S Xiao, Z Zhai, X Zeng, W Huang arXiv preprint arXiv:2305.03972 2, 2023 | 6 | 2023 |
| Turbo: Informativity-driven acceleration plug-in for vision-language models C Ju, H Wang, Z Li, X Chen, Z Zhai, W Huang, S Xiao arXiv preprint arXiv:2312.07408, 2023 | 5 | 2023 |
| Turbo: Informativity-Driven Acceleration Plug-In for Vision-Language Large Models C Ju, H Wang, H Cheng, X Chen, Z Zhai, W Huang, J Lan, S Xiao, ... European Conference on Computer Vision, 436-455, 2025 | 4 | 2025 |
| Image to Multi-Modal Retrieval for Industrial Scenarios Z Cheng, C Ju, X Chen, Z Zhai, S Xiao, X Zeng, W Huang arXiv preprint arXiv:2305.03972, 2023 | 4 | 2023 |
| Automatic Deduction Path Learning via Reinforcement Learning with Environmental Correction S Xiao, C Pan, M Wang, X Zhu, S Xue, J Wang, Y Hu, J Zhang, J Feng arXiv preprint arXiv:2306.10083, 2023 | 3 | 2023 |
Junchi YanFIAPR/FIET/IEEE-AI2Watch, Prof. SJTU (2018-), SII (2024-), IBM (2011-2018)Verified email at cs.sjtu.edu.cn
