Publications

Jinming Hu, Jiahao Gu, Kenta Ploch, Hao Wang, Jingxian Wang, Wentao Wu, Qizhen Zhang (2026). Understanding the Impact of Data Noise in Federated Learning: Experiments and Analysis. To appear in Proceedings of the ACM on Management of Data (SIGMOD 2026).

Jinming Hu, Armaan Nanji, Zixiu Meng, Hao Wang, Jingxian Wang, Wentao Wu, Qizhen Zhang (2026). FEDDE: Federated Data Deduplication.

Jinming Hu (2026). The Informational Foundation of Physical Reality: Proving the Necessity of Relativity and Quantics via Information Bandwidth.

Jinming Hu (2025). The Computational Event Horizon: A Heuristic Taxonomy of Solvability for the Millennium Prize Problems.

Xinjing Zhou, Viktor Leis, Jinming Hu, Xiangyao Yu, Michael Stonebraker (2025). Practical db-os co-design with privileged kernel bypass. Proceedings of the ACM on Management of Data (SIGMOD).

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Wenxiao Wang, Minghao Chen, Shuai Zhao, Long Chen, Jinming Hu, Haifeng Liu, Deng Cai, Xiaofei He, Wei Liu (2021). Accelerate cnns from three dimensions: A comprehensive pruning framework. International Conference on Machine Learning (ICML).

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Hao Feng, Minghao Chen, Jinming Hu, Dong Shen, Haifeng Liu, Deng Cai (2021). Complementary pseudo labels for unsupervised domain adaptation on person re-identification. IEEE Transactions on Image Processing.

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Dong Shen, Shuai Zhao, Jinming Hu, Hao Feng, Deng Cai, Xiaofei He (2020). Es-net: Erasing salient parts to learn more in re-identification. IEEE Transactions on Image Processing.

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Wenxiao Wang, Shuai Zhao, Minghao Chen, Jinming Hu, Deng Cai, Haifeng Liu (2019). DBP: Discrimination based block-level pruning for deep model acceleration. arXiv preprint arXiv:1912.10178.

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