| Wavelet packet analysis for speaker-independent emotion recognition K Wang, G Su, L Liu, S Wang Neurocomputing 398, 257-264, 2020 | 89 | 2020 |
| Towards complex activity recognition using a Bayesian network-based probabilistic generative framework L Liu, S Wang, G Su, ZG Huang, M Liu Pattern Recognition 68, 295-309, 2017 | 59 | 2017 |
| Reliability of run-time quality-of-service evaluation using parametric model checking G Su, DS Rosenblum, G Tamburrelli Proceedings of the 38th International Conference on Software Engineering, 73-84, 2016 | 31 | 2016 |
| Hand gesture recognition framework using a lie group based spatio-temporal recurrent network with multiple hand-worn motion sensors S Wang, A Wang, M Ran, L Liu, Y Peng, M Liu, G Su, A Alhudhaif, ... Information Sciences 606, 722-741, 2022 | 30 | 2022 |
| An iterative decision-making scheme for Markov Decision Processes and its application to self-adaptive systems G Su, T Chen, Y Feng, DS Rosenblum, PS Thiagarajan | 26 | 2016 |
| Perturbation analysis in verification of discrete-time Markov chains T Chen, Y Feng, DS Rosenblum, G Su International Conference on Concurrency Theory, 218-233, 2014 | 23 | 2014 |
| Asymptotic bounds for quantitative verification of perturbed probabilistic systems G Su, DS Rosenblum International Conference on Formal Engineering Methods, 297-312, 2013 | 23 | 2013 |
| A framework of mining semantic-based probabilistic event relations for complex activity recognition L Liu, S Wang, G Su, B Hu, Y Peng, Q Xiong, J Wen Information Sciences 418, 13-33, 2017 | 21 | 2017 |
| Asymptotic perturbation bounds for probabilistic model checking with empirically determined probability parameters G Su, Y Feng, T Chen, DS Rosenblum IEEE Transactions on Software Engineering 42 (7), 623-639, 2015 | 20 | 2015 |
| ProEva: runtime proactive performance evaluation based on continuous-time markov chains G Su, T Chen, Y Feng, DS Rosenblum 2017 IEEE/ACM 39th International Conference on Software Engineering (ICSE …, 2017 | 15 | 2017 |
| Perturbation analysis of stochastic systems with empirical distribution parameters G Su, DS Rosenblum Proceedings of the 36th International Conference on Software Engineering …, 2014 | 15 | 2014 |
| Verifying the long-run behavior of probabilistic system models in the presence of uncertainty YRS Llerena, M Böhme, M Brünink, G Su, DS Rosenblum Proceedings of the 2018 26th ACM Joint Meeting on European Software …, 2018 | 14 | 2018 |
| Probabilistic model checking of perturbed mdps with applications to cloud computing YRS Llerena, G Su, DS Rosenblum Proceedings of the 2017 11th Joint Meeting on Foundations of Software …, 2017 | 11 | 2017 |
| Recognizing diseases with multivariate physiological signals by a DeepCNN-LSTM network J Liao, D Liu, G Su, L Liu Applied Intelligence 51 (11), 7933-7945, 2021 | 10 | 2021 |
| Nested reachability approximation for discrete-time Markov chains with univariate parameters G Su, DS Rosenblum International Symposium on Automated Technology for Verification and …, 2014 | 9 | 2014 |
| A single smartwatch-based segmentation approach in human activity recognition Y Li, L Yu, J Liao, G Su, H Ammarah, L Liu, S Wang Pervasive and Mobile Computing 83, 101600, 2022 | 6 | 2022 |
| Multiagent task allocation and planning with multi-objective requirements T Robinson, G Su, M Zhang Proceedings of the 20th International Conference on Autonomous Agents and …, 2021 | 6 | 2021 |
| Quantitative verification for monitoring event-streaming systems G Su, L Liu, M Zhang, DS Rosenblum IEEE Transactions on Software Engineering 48 (2), 538-550, 2020 | 6 | 2020 |
| An ADL-approach to specifying and analyzing centralized-mode architectural connection G Su, M Ying, C Zhang European Conference on Software Architecture, 8-23, 2010 | 6 | 2010 |
| Deep one-class fine-tuning for imbalanced short text classification in transfer learning S Bose, G Su, L Liu International Conference on Advanced Data Mining and Applications, 339-351, 2023 | 5 | 2023 |
Li Liu (刘礼)Chongqing University在 cqu.edu.cn 的电子邮件经过验证
