Forecasting fine-grained air quality based on big data Y Zheng, X Yi, M Li, R Li, Z Shan, E Chang, T Li Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015 | 410 | 2015 |
Predicting citywide crowd flows using deep spatio-temporal residual networks J Zhang, Y Zheng, D Qi, R Li, X Yi, T Li Artificial Intelligence 259, 147-166, 2018 | 342 | 2018 |
A rough sets based characteristic relation approach for dynamic attribute generalization in data mining T Li, D Ruan, W Geert, J Song, Y Xu Knowledge-Based Systems 20 (5), 485-494, 2007 | 327 | 2007 |
b-SPECS+: Batch verification for secure pseudonymous authentication in VANET SJ Horng, SF Tzeng, Y Pan, P Fan, X Wang, T Li, MK Khan IEEE transactions on information forensics and security 8 (11), 1860-1875, 2013 | 258 | 2013 |
Deep distributed fusion network for air quality prediction X Yi, J Zhang, Z Wang, T Li, Y Zheng Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018 | 253 | 2018 |
Univl: A unified video and language pre-training model for multimodal understanding and generation H Luo, L Ji, B Shi, H Huang, N Duan, T Li, J Li, T Bharti, M Zhou arXiv preprint arXiv:2002.06353, 2020 | 222 | 2020 |
Incorporating logistic regression to decision-theoretic rough sets for classifications D Liu, T Li, D Liang International Journal of Approximate Reasoning 55 (1), 197-210, 2014 | 216 | 2014 |
Three-way investment decisions with decision-theoretic rough sets D Liu, Y Yao, T Li International Journal of Computational Intelligence Systems 4 (1), 66-74, 2011 | 211 | 2011 |
CLIP4Clip: An empirical study of CLIP for end to end video clip retrieval and captioning H Luo, L Ji, M Zhong, Y Chen, W Lei, N Duan, T Li Neurocomputing 508, 293-304, 2022 | 209 | 2022 |
Multivariate time series forecasting via attention-based encoder–decoder framework S Du, T Li, Y Yang, SJ Horng Neurocomputing 388, 269-279, 2020 | 202 | 2020 |
An efficient certificateless aggregate signature with conditional privacy-preserving for vehicular sensor networks SJ Horng, SF Tzeng, PH Huang, X Wang, T Li, MK Khan Information Sciences 317, 48-66, 2015 | 190 | 2015 |
A fuzzy rough set approach for incremental feature selection on hybrid information systems A Zeng, T Li, D Liu, J Zhang, H Chen Fuzzy Sets and Systems 258, 39-60, 2015 | 188 | 2015 |
Deep air quality forecasting using hybrid deep learning framework S Du, T Li, Y Yang, SJ Horng IEEE Transactions on Knowledge and Data Engineering 33 (6), 2412-2424, 2019 | 187 | 2019 |
Enhancing security and privacy for identity-based batch verification scheme in VANETs SF Tzeng, SJ Horng, T Li, X Wang, PH Huang, MK Khan IEEE Transactions on Vehicular Technology 66 (4), 3235-3248, 2015 | 187 | 2015 |
Composite rough sets for dynamic data mining J Zhang, T Li, H Chen Information Sciences 257, 81-100, 2014 | 187 | 2014 |
Probabilistic model criteria with decision-theoretic rough sets D Liu, T Li, D Ruan Information Sciences 181 (17), 3709-3722, 2011 | 178 | 2011 |
A Rough-Set-Based Incremental Approach for Updating Approximations under Dynamic Maintenance Environments H Chen, T Li, D Ruan, J Lin, C Hu Knowledge and Data Engineering, IEEE Transactions on 25 (2), 274-284, 2013 | 172 | 2013 |
Rough sets based matrix approaches with dynamic attribute variation in set-valued information systems J Zhang, T Li, D Ruan, D Liu International Journal of Approximate Reasoning 53 (4), 620-635, 2012 | 172 | 2012 |
A decision-theoretic rough set approach for dynamic data mining H Chen, T Li, C Luo, SJ Horng, G Wang IEEE Transactions on fuzzy Systems 23 (6), 1958-1970, 2015 | 165 | 2015 |
Urban big data fusion based on deep learning: An overview J Liu, T Li, P Xie, S Du, F Teng, X Yang Information Fusion 53, 123-133, 2020 | 150 | 2020 |