| Personalized cross-silo federated learning on non-iid data Y Huang, L Chu, Z Zhou, L Wang, J Liu, J Pei, Y Zhang Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2021), 2021 | 710 | 2021 |
| Model Complexity of Deep Learning: A Survey X Hu, L Chu, J Pei, W Liu, J Bian Knowledge and Information Systems (KAIS 2021, best paper award in 2024), 2021 | 352 | 2021 |
| Robust Counterfactual Explanations on Graph Neural Networks M Bajaj, L Chu, ZY Xue, J Pei, L Wang, PCH Lam, Y Zhang Advances in Neural Information Processing Systems (NeurIPS 2021), 2021 | 132 | 2021 |
| Exact and Consistent Interpretation for Piecewise Linear Neural Networks: A Closed Form Solution L Chu, X Hu, J Hu, L Wang, J Pei Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 125 | 2018 |
| Activity maximization by effective information diffusion in social networks Z Wang, Y Yang, J Pei, L Chu, E Chen IEEE Transactions on Knowledge and Data Engineering 29 (11), 2374-2387, 2017 | 78 | 2017 |
| Training Fair Models in Federated Learning without Data Privacy Infringement X Che, J Hu, Z Zhou, Y Zhang, L Chu IEEE International Conference on Big Data (ICBD 2024), 7687 - 7696, 2024 | 57* | 2024 |
| Robust spatial consistency graph model for partial duplicate image retrieval L Chu, S Jiang, S Wang, Y Zhang, Q Huang IEEE Transactions on Multimedia 15 (8), 1982-1996, 2013 | 57 | 2013 |
| Towards fair federated learning Z Zhou, L Chu, C Liu, L Wang, J Pei, Y Zhang Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 56 | 2021 |
| Finding Gangs in War from Signed Networks L Chu, Z Wang, J Pei, J Wang, Z Zhao, E Chen Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016 | 51 | 2016 |
| Effective multimodality fusion framework for cross-media topic detection L Chu, Y Zhang, G Li, S Wang, W Zhang, Q Huang IEEE Transactions on Circuits and Systems for Video Technology 26 (3), 556-569, 2014 | 48 | 2014 |
| Cross-media topic detection: A multi-modality fusion framework Y Zhang, G Li, L Chu, S Wang, W Zhang, Q Huang 2013 IEEE International conference on multimedia and expo (ICME), 1-6, 2013 | 37 | 2013 |
| Online density bursting subgraph detection from temporal graphs L Chu, Y Zhang, Y Yang, L Wang, J Pei Proceedings of the VLDB Endowment 12 (13), 2353-2365, 2020 | 33 | 2020 |
| Cosine Model Watermarking Against Ensemble Distillation L Charette, L Chu, Y Chen, J Pei, L Wang, Y Zhang Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2022), 2022 | 25 | 2022 |
| Classification with Label Noise: A Markov Chain Sampling Framework Z Zhao, L Chu, D Tao, J Pei Data Mining and Knowledge Discovery 6 (2018), 2019 | 21 | 2019 |
| Mining Density Contrast Subgraphs Y Yang, L Chu, Y Zhang, Z Wang, J Pei, E Chen International Conference on Data Engineering (ICDE) 2018., 2018 | 20 | 2018 |
| Alid: scalable dominant cluster detection L Chu, S Wang, S Liu, Q Huang, J Pei Proceedings of the VLDB Endowment 2015, 2015 | 20 | 2015 |
| Method, Apparatus and System for Secure Vertical Federated Learning CHU Lingyang, Y Huang, Y Zhang, L Wang US Patent 11,836,583, 2023 | 18 | 2023 |
| Methods and systems for mining minority-class data samples for training a neural network G Singh, CHU Lingyang, L Wang, Y Zhang US Patent 11,816,183, 2023 | 18 | 2023 |
| Detection and location of near-duplicate video sub-clips by finding dense subgraphs T Chen, S Jiang, L Chu, Q Huang Proceedings of the 19th ACM international conference on Multimedia, 1173-1176, 2011 | 17 | 2011 |
| Achieving model fairness in vertical federated learning C Liu, Z Fan, Z Zhou, Y Shi, J Pei, L Chu, Y Zhang arXiv preprint arXiv:2109.08344, 2021 | 16 | 2021 |
Jian PeiArthur S. Pearse Distinguished Professor, Duke UniversityPatvirtintas el. paštas cs.sfu.ca
