Publications

\* indicates my student, † indicates equal contribution

2025

  1. ICCV
    federated-learning.png
    Personalized Federated Learning under Local Supervision
    Qiqi Liu, Jiaqiang Li, Yuchen Liu, Yaochu Jin, Lingjuan Lyu, Xiaohu Wu, and Han Yu
    International Conference on Computer Vision, 2025
  2. ICML
    LLMs.jpg
    iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection
    Huahui Yi, Wei Xu, Ziyuan Qin, Xi Chen, Xiaohu Wu, Kang Li, and Qicheng Lao
    The 42nd International Conference on Machine Learning, 2025
  3. ICML
    federated-learning.png
    Voronoi-grid-based Pareto Front Learning and Its Application to Collaborative Federated Learning
    Mengmeng Chen*†, Xiaohu Wu, Qiqi Liu, Tiantian He, Yew-Soon Ong, Yaochu Jin, Qicheng Lao, and Han Yu
    The 42nd International Conference on Machine Learning, 2025
  4. IEEE TSC
    RL2.png
    Towards Cost-Optimal Policies for DAGs to Utilize IaaS Clouds with Online Learning
    Xiaohu Wu, Han Yu, Giuliano Casale, and Guanyu Gao
    IEEE Transactions on Services Computing, 2025

2024

  1. Book Chapter
    federated-learning.png
    Enhancing Causal Discovery in Federated Settings with Limited Local Samples
    Xianjie Guo, Liping Yi, Xiaohu Wu, Kui Yu, and Gang Wang
    In Federated Learning in the Age of Foundation Models - FL 2024 International Workshops, 2024
  2. NeurIPS
    federated-learning.png
    Free-rider and conflict aware collaboration formation for cross-silo federated learning
    Mengmeng Chen*, Xiaohu Wu, Xiaoli Tang, Tiantian He, Yew Soon Ong, Qiqi Liu, Qicheng Lao, and Han Yu
    Advances in Neural Information Processing Systems, 2024
  3. AIJ
    neural-network-v2.png
    Polarized message-passing in graph neural networks
    Tiantian He, Yang Liu, Yew-Soon Ong, Xiaohu Wu, and Xin Luo
    Artificial Intelligence, 2024
  4. AAAI
    federated-learning.png
    Fedcompetitors: Harmonious collaboration in federated learning with competing participants
    Shanli Tan*†, Hao Cheng, Xiaohu Wu, Han Yu, Tiantian He, Yew Soon Ong, Chongjun Wang, and Xiaofeng Tao
    Proceedings of the AAAI Conference on Artificial Intelligence, 2024
  5. IEEE TBD
    federated-learning.png
    MarS-FL: Enabling Competitors to Collaborate in Federated Learning
    Xiaohu Wu and Han Yu
    IEEE Transactions on Big Data, 2024
  6. Springer-Nature
    optimization.jpg
    Algorithms for Scheduling Deadline-Sensitive Malleable Tasks
    Xiaohu Wu and Patrick Loiseau
    SN Operations Research Forum, 2024
  7. Book Chapter
    federated-learning.png
    Benchmarking Data Heterogeneity Evaluation Approaches for Personalized Federated Learning
    Zhilong Li*, Xiaohu Wu, Xiaoli Tang, Tiantian He, Yew-Soon Ong, Mengmeng Chen, Qiqi Liu, Qicheng Lao, and Han Yu
    In Federated Learning in the Age of Foundation Models - FL 2024 International Workshops, 2024

2023

  1. IEEE JBHI
    neural-network-v2.png
    Anatomically guided cross-domain repair and screening for ultrasound fetal biometry
    Jun Gao, Qicheng Lao, Paul Liu, Huahui Yi, Qingbo Kang, Zekun Jiang, Xiaohu Wu, Kang Li, Yuanyuan Chen, and Le Zhang
    IEEE Journal of Biomedical and Health Informatics, 2023
  2. IJCAI
    game-theory.png
    Exploring leximin principle for fair core-selecting combinatorial auctions: payment rule design and implementation
    Hao Cheng, Shufeng Kong, Yanchen Deng, Caihua Liu, Xiaohu Wu, Bo An, and Chongjun Wang
    Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
  3. EJOR
    optimization.jpg
    Efficient approximation algorithms for scheduling moldable tasks
    Xiaohu Wu and Patrick Loiseau
    European Journal of Operational Research, 2023
  4. ACM ToMPECS
    network-economics.png
    Delay and price differentiation in cloud computing: A service model, supporting architectures, and performance
    Xiaohu Wu, Francesco De Pellegrini, and Giuliano Casale
    ACM Transactions on Modeling and Performance Evaluation of Computing Systems (ToMPECS) , 2023
  5. IEEE MMSP
    Edge-AI.jpg
    Edge-Assisted Joint Rate Adaptation and Quality Enhancement for 360-Degree Video Streaming
    Kunkun Li, Guanyu Gao, Zhe Wang, and Xiaohu Wu
    IEEE 25th International Workshop on Multimedia Signal Processing (MMSP), 2023

2022

  1. ACM NOSSDAV
    Edge-AI.jpg
    Dynamic DNN model selection and inference off loading for video analytics with edge-cloud collaboration
    Xuezhi Wang, Guanyu Gao, Xiaohu Wu, Yan Lyu, and Weiwei Wu
    Proceedings of the 32nd Workshop on Network and Operating Systems Support for Digital Audio and Video, 2022

2021

  1. WI-IAT
    multi-agent-systems.png
    Multi-agent pickup and delivery with task deadlines
    Xiaohu Wu, Y. Liu, X. Tang, W. Cai, F. Bai, G. Khonstantine, and G. Zhao
    IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (long paper), 2021

2019

  1. IEEE TPDS
    RL2.png
    Toward designing cost-optimal policies to utilize IaaS clouds with online learning
    Xiaohu Wu, Patrick Loiseau, and Esa Hyytiä
    IEEE Transactions on Parallel and Distributed Systems, 2019
  2. ACM ToMPECS
    network-economics.png
    A framework for allocating server time to spot and on-demand services in cloud computing
    Xiaohu Wu, Francesco De Pellegrini, Guanyu Gao, and Giuliano Casale
    ACM Transactions on Modeling and Performance Evaluation of Computing Systems (ToMPECS) , 2019

2017

  1. PEVA
    parallel-computing.png
    Dispatching fixed-sized jobs with multiple deadlines to parallel heterogeneous servers
    Esa Hyytiä, Rhonda Righter, Olivier Bilenne, and Xiaohu Wu
    Performance Evaluation (PEVA) , 2017
  2. IEEE ICCAC
    RL2.png
    Toward designing cost-optimal policies to utilize IaaS clouds with online learning
    Xiaohu Wu, Patrick Loiseau, and Esa Hyytiä
    2017 International Conference on Cloud and Autonomic Computing (ICCAC). Conference information , 2017

2015

  1. Allerton
    optimization.jpg
    Algorithms for Scheduling Deadline-Sensitive Malleable Tasks
    Xiaohu Wu and Patrick Loiseau
    The 53rd Annual Allerton Conference on Communication, Control, and Computing (Allerton). Conference information , 2015

2013

  1. IEEE TPDS
    HE2.png
    A tag encoding scheme against pollution attack to linear network coding
    Xiaohu Wu, Yinlong Xu, Chau Yuen, and Liping Xiang
    IEEE Transactions on Parallel and Distributed Systems, 2013

2011

  1. IEEE NetCod
    HE2.png
    A hybrid scheme against pollution attack to network coding
    Xiaohu Wu, Yinlong Xu, Liping Xiang, and Wei Xu
    2011 International Symposium on Networking Coding, 2011