| Deep learning with MCA-based instance selection and bootstrapping for imbalanced data classification S Guan, M Chen, HY Ha, SC Chen, ML Shyu, C Zhang 2015 IEEE Conference on Collaboration and Internet Computing (CIC), 288-295, 2015 | 18 | 2015 |
| Graph neural network and Koopman models for learning networked dynamics: A comparative study on power grid transients prediction SP Nandanoori, S Guan, S Kundu, S Pal, K Agarwal, Y Wu, S Choudhury IEEE Access 10, 32337-32349, 2022 | 14 | 2022 |
| Attribute-driven backbone discovery S Guan, H Ma, Y Wu Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019 | 9 | 2019 |
| Diversified subgraph query generation with group fairness H Ma, S Guan, C Toomey, Y Wu Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022 | 6 | 2022 |
| Domain knowledge assisted data processing for florida public hurricane loss model Y Yan, S Pouyanfar, H Tian, S Guan, HY Ha, SC Chen, ML Shyu, S Hamid 2016 IEEE 17th International Conference on Information Reuse and Integration …, 2016 | 6 | 2016 |
| CRUX: Crowdsourced Materials Science Resource and Workflow Exploration M Wang, H Ma, A Daundkar, S Guan, Y Bian, A Sehirlioglu, Y Wu The 31st ACM International Conference on Information and Knowledge Management, 2022 | 3 | 2022 |
| GEDet: Detecting erroneous nodes with a few examples S Guan, H Ma, S Choudhury, Y Wu Proceedings of the VLDB Endowment 14 (12), 2021 | 3 | 2021 |
| Gedet: Adversarially learned few-shot detection of erroneous nodes in graphs S Guan, P Lin, H Ma, Y Wu 2020 IEEE International Conference on Big Data (Big Data), 44-53, 2020 | 3 | 2020 |
| Florida International University-University of Miami TRECVID 2017. Y Yan, S Pouyanfar, Y Tao, H Tian, MEP Reyes, ML Shyu, SC Chen, ... TRECVID, 2017 | 3 | 2017 |
| Subgraph query generation with fairness and diversity constraints H Ma, S Guan, M Wang, Y Chang, Y Wu 2022 IEEE 38th International Conference on Data Engineering (ICDE), 3106-3118, 2022 | 2 | 2022 |
| Selecting Top-k Data Science Models by Example Dataset M Wang, S Guan, H Ma, Y Bian, H Che, A Daundkar, A Sehirlioglu, Y Wu Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 1 | 2023 |
| RoboGNN: Robustifying Node Classification under Link Perturbation S Guan, H Ma, Y Wu Proceedings of the Thirty-First International Joint Conference on Artificial …, 2022 | 1 | 2022 |
| A scalable and automatic validation process for florida public hurricane loss model H Tian, HY Ha, S Pouyanfar, Y Yan, S Guan, SC Chen, ML Shyu, S Hamid 2016 IEEE 17th International Conference on Information Reuse and Integration …, 2016 | 1 | 2016 |
| Fair Group Summarization with Graph Patterns H Ma, S Guan, M Wang, Q Song, Y Wu 2023 IEEE 39th International Conference on Data Engineering (ICDE), 1982-1994, 2023 | | 2023 |
| GALE: Active Adversarial Learning for Erroneous Node Detection in Graphs S Guan, H Ma, M Wang, Y Wu 2023 IEEE 39th International Conference on Data Engineering (ICDE), 1705-1718, 2023 | | 2023 |
| Learning Distributed Geometric Koopman Operator for Sparse Networked Dynamical Systems SC Sayak Mukherjee, Sai Pushpak Nandanoori, Sheng Guan, Khushbu Agarwal ... Learning on Graphs Conference, 2022 | | 2022 |
| CIC 2015 H Aljafer, E Najmi, H Efstathiades, S Deng, Y Li, F Zhang, S Guan, J Zhu, ... | | |
| IEEE CIC 2016 External Reviewers D Steiert, D Mcgeehan, S Guan, S Pouyanfar, L Jin, R Xu, L Karimi, C Li | | |
Yinghui WuCase Western Reserve UniversityVerified email at case.edu
