| CleanML: A Study for Evaluating the Impact of Data Cleaning on ML Classification Tasks P Li, X Rao, J Blase, Y Zhang, X Chu, C Zhang 37th IEEE International Conference on Data Engineering, 2021 | 109 | 2021 |
| CleanML: A Benchmark for Joint Data Cleaning and Machine Learning [Experiments and Analysis] P Li, X Rao, J Blase, Y Zhang, X Chu, C Zhang arXiv preprint arXiv:1904.09483, 2019 | 63 | 2019 |
| xFraud: explainable fraud transaction detection SX Rao, S Zhang, Z Han, Z Zhang, W Min, Z Chen, Y Shan, Y Zhao, ... arXiv preprint arXiv:2011.12193, 2020 | 51 | 2020 |
| Ease. ML: A Lifecycle Management System for Machine Learning L Aguilar, D Dao, S Gan, NM Gurel, N Hollenstein, J Jiang, B Karlas, ... CIDR, 2021 | 36* | 2021 |
| Neural Methods for Logical Reasoning over Knowledge Graphs A Amayuelas, S Zhang, XS Rao, C Zhang The Tenth International Conference on Learning Representations (ICLR 2022), 2022 | 33 | 2022 |
| DeGNN: Improving Graph Neural Networks with Graph Decomposition X Miao, NM Gürel, W Zhang, Z Han, B Li, W Min, X Rao, H Ren, Y Shan, ... SIGKDD 2021 (research track), 2021 | 28 | 2021 |
| BRIGHT--Graph Neural Networks in Real-Time Fraud Detection M Lu, Z Han, SX Rao, Z Zhang, Y Zhao, Y Shan, R Raghunathan, ... CIKM 2022, 31st ACM International Conference on Information and Knowledge …, 2022 | 21 | 2022 |
| Knowledge Router: Learning Disentangled Representations for Knowledge Graphs S Zhang, X Rao, Y Tay, C Zhang NAACL-HLT 2021, 2021 | 8 | 2021 |
| Suspicious Massive Registration Detection via Dynamic Heterogeneous Graph Neural Networks SX Rao, S Zhang, Z Han, Z Zhang, W Min, M Cheng, Y Shan, Y Zhao, ... AAAI Workshop on Deep Learning on Graphs 2021, 2021 | 6 | 2021 |
| New Algorithm For Matching Chinese NBS Firm-level With Customs Data P Egger, SX Rao, S Papini China Economic Journal, 2021 | 6 | 2021 |
| Modelling graph dynamics in fraud detection with "Attention" SX Rao, C Lanfranchi, S Zhang, Z Han, Z Zhang, W Min, M Cheng, ... arXiv preprint arXiv:2204.10614, 2022 | 5 | 2022 |
| BenchTemp: A General Benchmark for Evaluating Temporal Graph Neural Networks Q Huang, J Jiang, XS Rao, C Zhang, Z Han, Z Zhang, X Wang, Y He, Q Xu, ... ICDE 2024, 2024 | 4 | 2024 |
| DeGNN: Characterizing and Improving Graph Neural Networks with Graph Decomposition X Miao, NM Gürel, W Zhang, Z Han, B Li, W Min, X Rao, H Ren, Y Shan, ... arXiv preprint arXiv:1910.04499, 2019 | 4 | 2019 |
| Keyword Extraction in Scientific Documents SX Rao, P Piriyatamwong, P Ghoshal, S Nasirian, E de Salis, S Mitrović, ... Workshop "Keyword extraction in scientific documents" in SwissText2022, 2022 | 3 | 2022 |
| A web application for geolocalized signs in synthesized swiss german sign language A Jancso, X Rao, J Graën, S Ebling Computers Helping People with Special Needs: 15th International Conference …, 2016 | 3 | 2016 |
| Hierarchical classification of research fields in the" web of science" using deep learning SX Rao, PH Egger, C Zhang arXiv preprint arXiv:2302.00390, 2023 | 2 | 2023 |
| Building Floorspace in China: A Dataset and Learning Pipeline PH Egger, SX Rao, S Papini http://arxiv.org/abs/2303.02230, 2023 | 1 | 2023 |
| TableParser: Automatic Table Parsing with Weak Supervision from Spreadsheets SX Rao, J Rausch, P Egger, C Zhang The AAAI-22 Workshop on Scientific Document Understanding (SDU@AAAI-22), 2022 | 1 | 2022 |
| Automatic Labeling of Articles in International Investment Agreements: Using Semi-supervised Learning and Word Embeddings X Rao Universität Zürich, 2017 | 1 | 2017 |
| Retrofitting Temporal Graph Neural Networks with Transformer Q Huang, X Yan, X Wang, SX Rao, Z Han, F Fu, W Zhang, J Jiang arXiv preprint arXiv:2409.05477, 2024 | | 2024 |
Ce ZhangTogether AI; University of ChicagoПотвърден имейл адрес: together.xyz
