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Shuang Li
Shuang Li
Assistant Professor, School of Data Science, The Chinese University of Hong Kong (Shenzhen)
Verified email at cuhk.edu.cn - Homepage
Title
Cited by
Cited by
Year
Coevolve: A joint point process model for information diffusion and network co-evolution
M Farajtabar, Y Wang, M Gomez Rodriguez, S Li, H Zha, L Song
Advances in Neural Information Processing Systems 28, 2015
2322015
Fake news mitigation via point process based intervention
M Farajtabar, J Yang, X Ye, H Xu, R Trivedi, E Khalil, S Li, L Song, H Zha
International conference on machine learning, 1097-1106, 2017
1682017
Generative adversarial user model for reinforcement learning based recommendation system
X Chen, S Li, H Li, S Jiang, Y Qi, L Song
International Conference on Machine Learning, 1052-1061, 2019
1232019
M-statistic for kernel change-point detection
S Li, Y Xie, H Dai, L Song
Advances in Neural Information Processing Systems 28, 2015
104*2015
Efficient learning of continuous-time hidden markov models for disease progression
YY Liu, S Li, F Li, L Song, JM Rehg
Advances in neural information processing systems 28, 2015
962015
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
822018
Detecting changes in dynamic events over networks
S Li, Y Xie, M Farajtabar, A Verma, L Song
IEEE Transactions on Signal and Information Processing over Networks 3 (2 …, 2017
402017
Recurrent hidden semi-markov model
H Dai, B Dai, YM Zhang, S Li, L Song
292016
Continuous-time dynamic graph learning via neural interaction processes
X Chang, X Liu, J Wen, S Li, Y Fang, L Song, Y Qi
Proceedings of the 29th ACM International Conference on Information …, 2020
182020
Co-evolutionary dynamics of information diffusion and network structure
M Farajtabar, M Gomez-Rodriguez, Y Wang, S Li, H Zha, L Song
Proceedings of the 24th International Conference on World Wide Web, 619-620, 2015
102015
Neural model-based reinforcement learning for recommendation
X Chen, S Li, H Li, S Jiang, L Song
82018
Learning continuous-time hidden markov models for event data
YY Liu, A Moreno, S Li, F Li, L Song, JM Rehg
Mobile Health, 361-387, 2017
82017
Imitation learning of neural spatio-temporal point processes
S Zhu, S Li, Z Peng, Y Xie
IEEE Transactions on Knowledge and Data Engineering, 2021
7*2021
Tcl: Transformer-based dynamic graph modelling via contrastive learning
L Wang, X Chang, S Li, Y Chu, H Li, W Zhang, X He, L Song, J Zhou, ...
arXiv preprint arXiv:2105.07944, 2021
52021
Reinforcement learning of spatio-temporal point processes
S Zhu, S Li, Y Xie
arXiv preprint arXiv:1906.05467, 2019
52019
Temporal logic point processes
S Li, L Wang, R Zhang, X Chang, X Liu, Y Xie, Y Qi, L Song
International Conference on Machine Learning, 5990-6000, 2020
32020
Interpretable deep generative spatio-temporal point processes
S Zhu, S Li, Z Peng, Y Xie
arXiv preprint arXiv:1906.05467, 2020
32020
Data-driven threshold machine: Scan statistics, change-point detection, and extreme bandits
S Li, Y Xie, L Song
arXiv preprint arXiv:1610.04599, 2016
32016
Online seismic event picking via sequential change-point detection
S Li, Y Cao, C Leamon, Y Xie, L Shi, WZ Song
2016 54th Annual Allerton Conference on Communication, Control, and …, 2016
32016
Explaining Point Processes by Learning Interpretable Temporal Logic Rules
S Li, M Feng, L Wang, A Essofi, Y Cao, J Yan, L Song
International Conference on Learning Representations, 2021
22021
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