| Ready, set, go: Coalesced offloading from mobile devices to the cloud L Xiang, S Ye, Y Feng, B Li, B Li IEEE INFOCOM 2014-IEEE Conference on Computer Communications, 2373-2381, 2014 | 67 | 2014 |
| Differentially-private deep learning from an optimization perspective L Xiang, J Yang, B Li IEEE INFOCOM 2019-IEEE Conference on Computer Communications, 559-567, 2019 | 43 | 2019 |
| Interpretable complex-valued neural networks for privacy protection L Xiang, H Ma, H Zhang, Y Zhang, J Ren, Q Zhang arXiv preprint arXiv:1901.09546, 2019 | 37 | 2019 |
| Learning Towards Contextual and Ephemeral Indoor Localization With Crowdsourcing L Xiang, TY Tai, B Li, B Li IEEE Journal on Selected Areas in Communications 35 (4), 863-879, 2017 | 22 | 2017 |
| A discriminatory pricing double auction for spectrum allocation L Xiang, G Sun, J Liu, X Wang, L Li 2012 IEEE Wireless Communications and Networking Conference (WCNC), 1473-1477, 2012 | 19 | 2012 |
| Speedup robust graph structure learning with low-rank information H Xu, L Xiang, J Yu, A Cao, X Wang Proceedings of the 30th ACM International Conference on Information …, 2021 | 18 | 2021 |
| Coalition formation towards energy-efficient collaborative mobile computing L Xiang, B Li, B Li 2015 24th International Conference on Computer Communication and Networks …, 2015 | 17 | 2015 |
| Achieving adversarial robustness via sparsity N Liao, S Wang, L Xiang, N Ye, S Shao, P Chu Machine Learning, 1-27, 2022 | 14 | 2022 |
| Context-aware deep model compression for edge cloud computing L Wang, L Xiang, J Xu, J Chen, X Zhao, D Yao, X Wang, B Li 2020 IEEE 40th International Conference on Distributed Computing Systems …, 2020 | 14 | 2020 |
| Decentralized multi-agv task allocation based on multi-agent reinforcement learning with information potential field rewards M Li, B Guo, J Zhang, J Liu, S Liu, Z Yu, Z Li, L Xiang 2021 IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems …, 2021 | 13 | 2021 |
| Differential privacy for tensor-valued queries J Yang, L Xiang, R Chen, W Li, B Li IEEE Transactions on Information Forensics and Security 17, 152-164, 2021 | 11 | 2021 |
| Matrix gaussian mechanisms for differentially-private learning J Yang, L Xiang, J Yu, X Wang, B Guo, Z Li, B Li IEEE Transactions on Mobile Computing 22 (2), 1036-1048, 2021 | 10 | 2021 |
| Context-aware compilation of dnn training pipelines across edge and cloud D Yao, L Xiang, Z Wang, J Xu, C Li, X Wang Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2021 | 8 | 2021 |
| Using UAV to Detect Truth for Clean Data Collection in Sensor‑Cloud Systems X LI, Z LI, Y OUYANG, H DUAN, L XIANG ZTE Communications 19 (3), 30-45, 2021 | 6 | 2021 |
| Federated model search via reinforcement learning D Yao, L Wang, J Xu, L Xiang, S Shao, Y Chen, Y Tong 2021 IEEE 41st International Conference on Distributed Computing Systems …, 2021 | 6 | 2021 |
| Privacy threats analysis to secure federated learning Y Li, Y Bao, L Xiang, J Liu, C Chen, L Wang, X Wang arXiv preprint arXiv:2106.13076, 2021 | 6 | 2021 |
| Privacy-preserving split learning via patch shuffling over transformers D Yao, L Xiang, H Xu, H Ye, Y Chen 2022 IEEE International Conference on Data Mining (ICDM), 638-647, 2022 | 5 | 2022 |
| Privacy budgeting for growing machine learning datasets W Li, L Xiang, Z Zhou, F Peng IEEE INFOCOM 2021-IEEE Conference on Computer Communications, 1-10, 2021 | 5 | 2021 |
| MiniTracker: Large-Scale Sensitive Information Tracking in Mini Apps W Li, B Yang, H Ye, L Xiang, Q Tao, X Wang, C Zhou IEEE Transactions on Dependable and Secure Computing, 2023 | 4 | 2023 |
| Privacy-preserving federated learning on partitioned attributes S Zhang, L Xiang, X Yu, P Chu, Y Chen, C Cen, L Wang arXiv preprint arXiv:2104.14383, 2021 | 4 | 2021 |
Baochun LiProfessor of Electrical and Computer Engineering, University of TorontoVerified email at ece.toronto.edu
