| DEMO-Net: Degree-specific graph neural networks for node and graph classification J Wu, J He, J Xu Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 195 | 2019 |
| PURE: Positive-Unlabeled Recommendation with Generative Adversarial Network Y Zhou, J Xu, J Wu, Z Taghavi, E Korpeoglu, K Achan, J He Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 42* | 2021 |
| ImVerde: Vertex-Diminished Random Walk for Learning Imbalanced Network Representation J Wu, J He, Y Liu 2018 IEEE International Conference on Big Data (Big Data), 871-880, 2018 | 21 | 2018 |
| Indirect Invisible Poisoning Attacks on Domain Adaptation J Wu, J He Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 17 | 2021 |
| Airborne hyperspectral imaging of cover crops through radiative transfer process-guided machine learning S Wang, K Guan, C Zhang, C Jiang, Q Zhou, K Li, Z Qin, EA Ainsworth, ... Remote Sensing of Environment 285, 113386, 2023 | 15 | 2023 |
| Adversarial robustness through bias variance decomposition: A new perspective for federated learning Y Zhou, J Wu, H Wang, J He Proceedings of the 31st ACM International Conference on Information …, 2022 | 14* | 2022 |
| Non-iid transfer learning on graphs J Wu, J He, E Ainsworth Proceedings of the AAAI Conference on Artificial Intelligence 37 (9), 10342 …, 2023 | 13 | 2023 |
| Adaptive Knowledge Transfer on Evolving Domains J Wu, H Tong, E Ainsworth, J He 2022 IEEE International Conference on Big Data (Big Data), 1389-1394, 2022 | 13* | 2022 |
| Textual indicator extraction from aviation accident reports X Hu, J Wu, J He AIAA aviation 2019 forum, 2939, 2019 | 9 | 2019 |
| Distribution-informed neural networks for domain adaptation regression J Wu, J He, S Wang, K Guan, E Ainsworth Advances in Neural Information Processing Systems 35, 10040-10054, 2022 | 8 | 2022 |
| Domain adaptation with dynamic open-set targets J Wu, J He Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 8 | 2022 |
| A Unified Meta-Learning Framework for Dynamic Transfer Learning J Wu, J He Proceedings of the Thirty-First International Joint Conference on Artificial …, 2022 | 8 | 2022 |
| Scalable manifold-regularized attributed network embedding via maximum mean discrepancy J Wu, J He Proceedings of the 28th ACM international conference on information and …, 2019 | 8 | 2019 |
| Optimizing the collaboration structure in cross-silo federated learning W Bao, H Wang, J Wu, J He International Conference on Machine Learning, 1718-1736, 2023 | 5 | 2023 |
| Adaptive Transfer Learning for Plant Phenotyping J Wu, EA Ainsworth, S Wang, K Guan, J He Third International Workshop on Machine Learning for Cyber-Agricultural …, 2021 | 5 | 2021 |
| Personalized Federated Learning with Parameter Propagation J Wu, W Bao, E Ainsworth, J He Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 4 | 2023 |
| CANON: Complex Analytics of Network of Networks for Modeling Adversarial Activities S Roach, C Ni, A Kopylov, TC Lu, J Xu, S Zhang, B Du, D Zhou, J Wu, ... 2020 IEEE International Conference on Big Data (Big Data), 1634-1643, 2020 | 3 | 2020 |
| Boba: Byzantine-robust federated learning with label skewness W Bao, J Wu, J He International Conference on Artificial Intelligence and Statistics, 892-900, 2024 | 2 | 2024 |
| A Unified Framework for Adversarial Attacks on Multi-Source Domain Adaptation J Wu, J He IEEE Transactions on Knowledge and Data Engineering, 2022 | 1 | 2022 |
| Graph-Structured Gaussian Processes for Transferable Graph Learning J Wu, L Ainsworth, A Leakey, H Wang, J He Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
Jingrui HeUniversity of Illinois at Urbana-ChampaignVerified email at illinois.edu
