About me
I am currently an Associate Professor with the the College of Computer Science, National University of Defense Technology (NUDT). I obtained my PhD at University of New South Wales (UNSW) in August, 2019. My academic research interests mainly focus on the reliability and robustness of machine learning models, as well as the application of AI methods in the design of storage systems. Currently, my work primarily involves optimizing parallel file systems in high-performance computing systems. I have published papers in the aforementioned fields, including major AI and data mining conferences and journals such as IJCAI, WWW, ACM MM, ECML/PKDD, ECAI, ACM TWEB, as well as systems conferences and journals like TPDS, MSST, CLUSTER, ICDCS, and CCGrid.
We always welcome self-motivated students to join us.
Welcome to contact me!
Email: wuhuijun[at]nudt[dot]edu[dot]cn
News
- 03/2025. One paper on collaborative burst buffer for HPC systems was accepted by ACM ICS 2025.
- 07/2024. Two papers on data clustering were accepted by ACM MM 2024.
- 07/2024. One paper on large-scale data dispatching for HPC was accpeted by CLUSTER 2024.
- 07/2024. One paper on generalized adversarial defense for GNNs was accepted by ECAI 2024.
- 07/2023. One paper HPC I/O configuration optimizations was accepted by CLUSTER 2023.
- 04/2023. One paper heterophilic graph learning was accepted by ECML/PKDD 2023.
- 09/2022. Our paper on adversarial defense for GNNs was accepted by JCST.
- 02/2020. One paper on interpretable model sharing was accepted by ACM TWEB.
- 05/2019. One paper on adversarial robustness for GNNs was accepted by IJCAI 2019.
- 01/2018. One paper on chunking configuration for backup deduplication was accepted by CCGrid 2018.
- 01/2018. Our paper on caching design for deduplicated storage was accepted by TPDS.
- 11/2017. Our paper on interpretable model sharing was accepted by WWW 2018.
- 02/2017. Our paper on primary storage deduplication was accepted by MSST 2017.