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Shuai Xiao
Shuai Xiao
Alibaba Group
Bestätigte E-Mail-Adresse bei alibaba-inc.com - Startseite
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Zitiert von
Zitiert von
Jahr
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
3472017
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
2132017
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
169*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
1332018
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
1082016
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
622018
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
582017
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
302016
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
242019
Forgedit: Text guided image editing via learning and forgetting
S Zhang, S Xiao, W Huang
arXiv preprint arXiv:2309.10556, 2023
212023
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
192024
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
122022
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
112024
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
102024
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
82012
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
62023
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
62023
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
52025
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
42023
Pseudo label refinery for unsupervised domain adaptation on cross-dataset 3D object detection
Z Zhang, M Chen, S Xiao, L Peng, H Li, B Lin, P Li, W Wang, B Wu, D Cai
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
32024
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