Incorporating GAN for negative sampling in knowledge representation learning P Wang, S Li, R Pan 32th AAAI Conference on Artificial Intelligence (AAAI 2018), 2018 | 134 | 2018 |
Personalizing a dialogue system with transfer reinforcement learning K Mo, Y Zhang, S Li, J Li, Q Yang 32th AAAI Conference on Artificial Intelligence (AAAI 2018), 2018 | 104* | 2018 |
Incorporating Graph Attention Mechanism into Knowledge Graph Reasoning Based on Deep Reinforcement Learning H Wang, S Li, R Pan, M Mao 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP …, 2019 | 55 | 2019 |
Tag-Weighted Topic Model for Mining Semi-Structured Documents. S Li, J Li, R Pan 23th International Joint Conference on Artificial Intelligence (IJCAI 2013), 2013 | 33 | 2013 |
Adaptive cross-contextual word embedding for word polysemy with unsupervised topic modeling S Li, R Pan, H Luo, X Liu, G Zhao Knowledge-Based Systems 218, 106827, 2021 | 30 | 2021 |
Length adaptive recurrent model for text classification Z Huang, Z Ye, S Li, R Pan 2017 ACM on Conference on Information and Knowledge Management (CIKM 2017 …, 2017 | 21 | 2017 |
Recurrent Attentional Topic Model S Li, Y Zhang, R Pan, M Mao, Y Yang 31th AAAI Conference on Artificial Intelligence (AAAI 2017), 3223-3229, 2017 | 21 | 2017 |
MemoryPath: A deep reinforcement learning framework for incorporating memory component into knowledge graph reasoning S Li, H Wang, R Pan, M Mao Neurocomputing 419, 273-286, 2021 | 19 | 2021 |
A novel chromosome cluster types identification method using ResNeXt WSL model C Lin, G Zhao, A Yin, Z Yang, L Guo, H Chen, L Zhao, S Li, H Luo, Z Ma Medical Image Analysis 69, 101943, 2021 | 18 | 2021 |
Tag-Weighted Dirichlet Allocation S Li, G Huang, R Tan, R Pan 2013 IEEE 13th International Conference on Data Mining (ICDM 2013), 438-447, 2013 | 17 | 2013 |
Bi-directional recurrent attentional topic model S Li, Y Zhang, R Pan ACM Transactions on Knowledge Discovery from Data (TKDD) 14 (6), 1-30, 2020 | 16 | 2020 |
EtherGIS: a vulnerability detection framework for ethereum smart contracts based on graph learning features Q Zeng, J He, G Zhao, S Li, J Yang, H Tang, H Luo 2022 IEEE 46th Annual Computers, Software, and Applications Conference …, 2022 | 15 | 2022 |
Usr-mtl: an unsupervised sentence representation learning framework with multi-task learning W Xu, S Li, Y Lu Applied Intelligence 51 (6), 3506-3521, 2021 | 13 | 2021 |
KeepEdge: A knowledge distillation empowered edge intelligence framework for visual assisted positioning in UAV delivery H Luo, T Chen, X Li, S Li, C Zhang, G Zhao, X Liu IEEE Transactions on Mobile Computing, 2022 | 11 | 2022 |
A novel chromosome instance segmentation method based on geometry and deep learning K Huang, C Lin, R Huang, G Zhao, A Yin, H Chen, L Guo, C Shan, R Nie, ... 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 10 | 2021 |
A clinical dataset and various baselines for chromosome instance segmentation R Huang, C Lin, A Yin, H Chen, L Guo, G Zhao, X Fan, S Li, J Yang IEEE/ACM Transactions on Computational Biology and Bioinformatics 19 (1), 31-39, 2021 | 8 | 2021 |
bi-hptm: An effective semantic matchmaking model for web service discovery S Li, H Luo, G Zhao 2020 IEEE International Conference on Web Services (ICWS), 433-440, 2020 | 8 | 2020 |
Adaptive Probabilistic Word Embedding S Li, Y Zhang, R Pan, K Mo Proceedings of The Web Conference 2020 (WWW 2020), 651-661, 2020 | 8 | 2020 |
bi-directional Bayesian probabilistic model based hybrid grained semantic matchmaking for Web service discovery S Li, H Luo, G Zhao, M Tang, X Liu World Wide Web 25 (2), 445-470, 2022 | 7 | 2022 |
Eosioanalyzer: An effective static analysis vulnerability detection framework for eosio smart contracts W Li, J He, G Zhao, J Yang, S Li, R Lai, P Li, H Tang, H Luo, Z Zhou 2022 IEEE 46th Annual Computers, Software, and Applications Conference …, 2022 | 6 | 2022 |