Publications

2026

  1. JCRD
    HiTrain: Heterogeneous Memory Offloading and I/O Optimization for Large Language Model Training
    Zhihang Tang, Hao Lan^, Zhengguo Liu, Qing Wang, Laiping Zhao, and Keqiu Li
    Journal of Computer Research and Development, 2026
    DOI
  2. FAST
    Cost-efficient Archive Cloud Storage with Tape: Design and Deployment
    Qing Wang, Fan Yang, Qiang Liu, Geng Xiao, Yongpeng Chen, Hao Lan, Leiming Chen, Bangzhu Chen, Chenrui Liu, Pingchang Bai, Bin Huang, Zigan Luo, Mingyu Xie, Yu Wang, Youyou Lu, Huatao Wu, and Jiwu Shu
    In 24th USENIX Conference on File and Storage Technologies (FAST 26), 2026

2025

  1. TDSC
    Graph-Relational Federated Learning: Enhanced Personalization and Robustness
    Wanyu Lin*, Hao Lan*, Hao He, and Baochun Li
    IEEE Transactions on Dependable and Secure Computing (TDSC), 2025

2024

  1. TDSC
    Graph privacy funnel: A variational approach for privacy-preserving representation learning on graphs
    Wanyu Lin, Hao Lan, and Jiannong Cao
    IEEE Transactions on Dependable and Secure Computing (TDSC), 2024
  2. TNNLS
    Debiasing Graph Representation Learning Based on Information Bottleneck
    Ziyi Zhang, Mingxuan Ouyang, Wanyu Lin, Hao Lan, and Lei Yang
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024

2023

  1. MLSys
    Be Careful with PyPI Packages: You May Unconsciously Spread Backdoor Model Weights
    Tianhang Zheng, Hao Lan, and Baochun Li
    In Proceedings of Machine Learning and Systems (MLSys), 2023

2022

  1. CVPR
    Orphicx: A causality-inspired latent variable model for interpreting graph neural networks
    Wanyu Lin, Hao Lan, Hao Wang, and Baochun Li
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022

2021

  1. IPDPS
    EAGLE: Expedited Device Placement with Automatic Grouping for Large Models
    Hao Lan, Li Chen, and Baochun Li
    In 2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2021
  2. ICML
    Generative causal explanations for graph neural networks
    Wanyu Lin, Hao Lan, and Baochun Li
    In International Conference on Machine Learning (ICML), 2021
  3. ICPP
    Accelerated Device Placement Optimization with Contrastive Learning
    Hao Lan, Li Chen, and Baochun Li
    In 50th International Conference on Parallel Processing (ICPP), 2021

2020

  1. Rss: a relay-based schedule scheme for optical data center network
    Shangqi Ma, Huaxi Gu, Hao Lan, Xiaoshan Yu, and Kun Wang
    Photonic Network Communications, 2020

2018

  1. TCOM
    Thor: a scalable hybrid switching architecture for data centers
    Xiaoshan Yu, Hong Xu, Huaxi Gu, and Hao Lan
    IEEE Transactions on Communications, 2018

2016

  1. ICOCN
    A novel multi-controller flow schedule scheme for fat-tree architecture
    Hao Lan, Liangkai Liu, Xiaoshan Yu, Huaxi Gu, and Yantao Guo
    In 2016 15th International Conference on Optical Communications and Networks (ICOCN), 2016

2015

  1. ICOCN
    OROF: A hybrid topology with high scalability for data center networks
    Hao Lan, Huaxi Gu, Xiaoshan Yu, and Xi Wang
    In 2015 14th International Conference on Optical Communications and Networks (ICOCN), 2015