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
68 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
52 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
44 2019 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
27 2021 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
24 2020 L Xiang, TY Tai, B Li, B Li
IEEE Journal on Selected Areas in Communications 35 (4), 863-879, 2017
22 2017 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
20 2021 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
20 2012 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
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
15 2022 MiniTracker : Large-Scale Sensitive Information Tracking in Mini AppsW Li, B Yang, H Ye, L Xiang, Q Tao, X Wang, C Zhou
IEEE Transactions on Dependable and Secure Computing 21 (4), 2099-2114, 2023
14 2023 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
14 2022 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
13 2021 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
12 2021 Permutation equivariance of transformers and its applications H Xu, L Xiang, H Ye, D Yao, P Chu, B Li
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
10 2024 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 Shuffled transformer for privacy-preserving split learning H Xu, L Xiang, H Ye, D Yao, P Chu, B Li
arXiv preprint arXiv:2304.07735, 2023
9 2023 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, 2021
8 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
7 2021 
Baochun LiProfessor of Electrical and Computer Engineering, University of TorontoZweryfikowany adres z ece.toronto.edu
