| Online Planner Selection with Graph Neural Networks and Adaptive Scheduling T Ma, P Ferber, S Huo, J Chen, M Katz https://www.aaai.org/Papers/AAAI/2020GB/AAAI-MaT.5664.pdf, 2018 | 45* | 2018 |
| Identifying transfer models for machine learning tasks P Watson, B Bhattacharjee, NC Codella, BM Belgodere, P Dube, ... US Patent App. 15/982,622, 2019 | 40 | 2019 |
| Artificial intelligence method to design and fold alpha-helical structural proteins from the primary amino acid sequence Z Qin, L Wu, H Sun, S Huo, T Ma, E Lim, PY Chen, B Marelli, MJ Buehler Extreme Mechanics Letters 36, 100652, 2020 | 32 | 2020 |
| Graph autoencoders for business process anomaly detection S Huo, H Völzer, P Reddy, P Agarwal, V Isahagian, V Muthusamy Business Process Management: 19th International Conference, BPM 2021, Rome …, 2021 | 19 | 2021 |
| Automatic Labeling of Data for Transfer Learning P Dube, B Bhattacharjee, S Huo, P Watson, B Belgodere, JR Kender Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 17 | 2019 |
| P2l: Predicting transfer learning for images and semantic relations B Bhattacharjee, JR Kender, M Hill, P Dube, S Huo, MR Glass, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 13 | 2020 |
| Efficient global string kernel with random features: beyond counting substructures L Wu, IEH Yen, S Huo, L Zhao, K Xu, L Ma, S Ji, C Aggarwal Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 11 | 2019 |
| Graph enhanced cross-domain text-to-SQL generation S Huo, T Ma, J Chen, M Chang, L Wu, MJ Witbrock Proceedings of the Thirteenth Workshop on Graph-Based Methods for Natural …, 2019 | 8 | 2019 |
| Ipc: A benchmark data set for learning with graph-structured data P Ferber, T Ma, S Huo, J Chen, M Katz ICML 2019 Workshop on Learning and Reasoning with Graph-Structured Data, 2019 | 6 | 2019 |
| A process-aware decision support system for business processes P Agarwal, B Gao, S Huo, P Reddy, S Dechu, Y Obeidi, V Muthusamy, ... Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 4 | 2022 |
| Generating and augmenting transfer learning datasets with pseudo-labeled images P Watson, B Bhattacharjee, S Huo, NC Codella, BM Belgodere, P Dube, ... US Patent 11,151,410, 2021 | 2 | 2021 |
| Accelerating the Support of Conversational Interfaces for RPAs Through APIs S Huo, K Mukherjee, J Bandlamudi, V Isahagian, V Muthusamy, Y Rizk International Conference on Business Process Management, 165-180, 2023 | 1 | 2023 |
| Generating and updating conversational artifacts from apis S Carbajales, Y Rizk, V Muthusamy, V Isahagian, K Mukherjee, S Huo, ... US Patent App. 17/454,302, 2023 | 1 | 2023 |
| Designing and folding structural proteins from the primary amino acid sequence L Wu, S Huo, T Ma, PY Chen, Z Qin, EJ Lim, FJ Martin-Martinez, H Sun, ... US Patent App. 16/585,679, 2021 | 1 | 2021 |
| Graph encoders for business process anomaly detection S Huo, PM Reddy, V Isahagian, V Muthusamy, P Agarwal US Patent 11,928,629, 2024 | | 2024 |
| Training transfer-focused models for deep learning P Watson, B Bhattacharjee, S Huo, NC Codella, BM Belgodere, P Dube, ... US Patent 11,853,877, 2023 | | 2023 |
| Protein structure prediction using machine learning PY Chen, S Huo, T Ma, L Wu, K Guo, F Rigoldi, B Marelli, MJ Buehler US Patent App. 17/842,839, 2023 | | 2023 |
| Towards hybrid automation by bootstrapping conversational interfaces for IT operation tasks J Bandlamudi, K Mukherjee, P Agarwal, S Dechu, S Huo, V Isahagian, ... Proceedings of the AAAI Conference on Artificial Intelligence 37 (13), 15654 …, 2023 | | 2023 |
Tengfei MaStony Brook UniversityVerified email at stonybrook.edu
