Shuang Li
Shuang Li
Assistant Professor, School of Data Science, The Chinese University of Hong Kong (Shenzhen)
Verified email at - Homepage
Cited by
Cited by
Coevolve: A joint point process model for information diffusion and network co-evolution
M Farajtabar, Y Wang, MG Rodriguez, S Li, H Zha, L Song
arXiv preprint arXiv:1507.02293, 2015
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
Scan -Statistic for Kernel Change-Point Detection
S Li, Y Xie, H Dai, L Song
arXiv preprint arXiv:1507.01279, 2015
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
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, 3599, 2015
Learning temporal point processes via reinforcement learning
S Li, S Xiao, S Zhu, N Du, Y Xie, L Song
arXiv preprint arXiv:1811.05016, 2018
P4HB and PDIA3 are associated with tumor progression and therapeutic outcome of diffuse gliomas
H Zou, C Wen, Z Peng, YΥ Shao, L Hu, S Li, C Li, HH Zhou
Oncology reports 39 (2), 501-510, 2018
lncRNAs PVT1 and HAR1A are prognosis biomarkers and indicate therapy outcome for diffuse glioma patients
H Zou, LX Wu, Y Yang, S Li, Y Mei, YB Liu, L Zhang, Y Cheng, HH Zhou
Oncotarget 8 (45), 78767, 2017
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
Recurrent hidden semi-markov model
H Dai, B Dai, YM Zhang, S Li, L Song
AKT axis, miR-21, and RECK play pivotal roles in dihydroartemisinin killing malignant glioma cells
YY Shao, TL Zhang, LX Wu, HC Zou, S Li, J Huang, HH Zhou
International journal of molecular sciences 18 (2), 350, 2017
Pseudogenes of annexin A2, novel prognosis biomarkers for diffuse gliomas
S Li, H Zou, YY Shao, Y Mei, Y Cheng, DL Hu, ZR Tan, HH Zhou
Oncotarget 8 (63), 106962, 2017
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
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
Neural model-based reinforcement learning for recommendation
X Chen, S Li, H Li, S Jiang, L Song
Reinforcement learning of spatio-temporal point processes
S Zhu, S Li, Z Peng, Y Xie
arXiv e-prints, arXiv: 1906.05467, 2019
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
Interpretable generative neural spatio-temporal point processes
S Zhu, S Li, Y Xie
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
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
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