Hao Lan (兰颢)
hao.lan@mail.utoronto.ca | +86 18960945526 | Download CV
About Me
I received my Ph.D. degree at the Department of Electrical & Computer Engineering, University of Toronto, supervised by Prof. Baochun Li. I finished both my B.E. and M.E. degree at the School of Communication, Xidian University in 2015 and 2018, respectively. Now I’m a postdoctoral researcher at the Department of Computer Science and Technology, Tsinghua University, supervised by Prof. Jiwu Shu.
Research Interests
Distributed Machine Learning, Deep Reinforcement Learning, Graph Neural Network, Federated Learning, Privacy Preserving, Data Center Network, Load Balancing, Congestion Control.
Selected Publications
2023
- MLSysBe Careful with PyPI Packages: You May Unconsciously Spread Backdoor Model WeightsIn Proceedings of Machine Learning and Systems (MLSys), 2023
2022
- CVPROrphicx: A causality-inspired latent variable model for interpreting graph neural networksIn Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
2021
- IPDPSEAGLE: Expedited Device Placement with Automatic Grouping for Large ModelsIn 2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2021
- ICMLGenerative causal explanations for graph neural networksIn International Conference on Machine Learning (ICML), 2021
- ICPPAccelerated Device Placement Optimization with Contrastive LearningIn 50th International Conference on Parallel Processing (ICPP), 2021
2018
- TCOMThor: a scalable hybrid switching architecture for data centersIEEE Transactions on Communications, 2018