| Addressing algorithmic disparity and performance inconsistency in federated learning S Cui, W Pan, J Liang, C Zhang, F Wang Advances in Neural Information Processing Systems 34, 26091-26102, 2021 | 62 | 2021 |
| Weakly-and semi-supervised object detection with expectation-maximization algorithm Z Yan, J Liang, W Pan, J Li, C Zhang arXiv preprint arXiv:1702.08740, 2017 | 53 | 2017 |
| Explaining Algorithmic Fairness Through Fairness-Aware Causal Path Decomposition W Pan, S Cui, J Bian, C Zhang, F Wang Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 31 | 2021 |
| Deep Gesture Video Generation With Learning on Regions of Interest R Cui, Z Cao, W Pan, C Zhang, J Wang IEEE Transactions on Multimedia 22 (10), 2551-2563, 2019 | 22 | 2019 |
| Correcting the User Feedback-Loop Bias for Recommendation Systems W Pan, S Cui, H Wen, K Chen, C Zhang, F Wang arXiv preprint arXiv:2109.06037, 2021 | 17 | 2021 |
| Towards efficient load distribution in big data cloud Z Liu, X Wang, W Pan, B Yang, X Hu, J Li 2015 International Conference on Computing, Networking and Communications …, 2015 | 16 | 2015 |
| Collaboration Equilibrium in Federated Learning S Cui, J Liang, W Pan, K Chen, C Zhang, F Wang Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 14 | 2022 |
| Towards Model-Agnostic Post-Hoc Adjustment for Balancing Ranking Fairness and Algorithm Utility S Cui, W Pan, C Zhang, F Wang Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 14* | 2021 |
| InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models Y Wang, Y Schiff, A Gokaslan, W Pan, F Wang, C De Sa, V Kuleshov arXiv preprint arXiv:2306.08757, 2023 | 11 | 2023 |
| Data heterogeneity in federated learning with Electronic Health Records: Case studies of risk prediction for acute kidney injury and sepsis diseases in critical care S Rajendran, Z Xu, W Pan, A Ghosh, F Wang PLOS Digital Health 2 (3), e0000117, 2023 | 11 | 2023 |
| Learning across diverse biomedical data modalities and cohorts: Challenges and opportunities for innovation S Rajendran, W Pan, MR Sabuncu, Y Chen, J Zhou, F Wang Patterns, 2024 | 3* | 2024 |
| The Definitions of Interpretability and Learning of Interpretable Models W Pan, C Zhang arXiv preprint arXiv:2105.14171, 2021 | 3 | 2021 |
| Automatic Methods for Screening and Assessing Scoliosis by 2-D Digital Images W Pan, G Hou, C Zhang International Conference on Intelligent Science and Big Data Engineering …, 2015 | 3 | 2015 |
| Generalizability of a Machine Learning Model for Improving Utilization of Parathyroid Hormone-Related Peptide Testing across Multiple Clinical Centers HS Yang, W Pan, Y Wang, MA Zaydman, NC Spies, Z Zhao, TA Guise, ... Clinical Chemistry, hvad141, 2023 | 2 | 2023 |
| Bipartite Ranking Fairness through a Model Agnostic Ordering Adjustment S Cui, W Pan, C Zhang, F Wang IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 1 | 2023 |
| Learning Phenotypic Associations for Parkinson’s Disease with Longitudinal Clinical Records W Pan, C Su, K Chen, C Henchcliffe, F Wang medRxiv, 2020 | 1 | 2020 |
| Decentralized Federated Learning via Overlapping Data Augmentation S Cui, J Liang, W Pan, J Zhang, B Han, J Zhang, C Zhang, F Wang | 1 | |
| Corticosteroids for infectious critical illness: A multicenter target trial emulation stratified by predicted organ dysfunction trajectory S Rajendran, Z Xu, W Pan, C Zang, I Siempos, LK Torres, J Xu, J Bian, ... medRxiv, 2024.03. 07.24303926, 2024 | | 2024 |
| An adaptive federated learning framework for clinical risk prediction with electronic health records from multiple hospitals W Pan, Z Xu, S Rajendran, F Wang Patterns, 2023 | | 2023 |
| Local Discovery by Partitioning: Polynomial-Time Causal Discovery Around Exposure-Outcome Pairs J Maasch, W Pan, S Gupta, V Kuleshov, K Gan, F Wang arXiv preprint arXiv:2310.17816, 2023 | | 2023 |
Fei Wang, FAMIA, FIAHSI, FACMIProfessor at Cornell UniversityVerified email at med.cornell.edu
