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2021年9月 — 今：中國(guó)科學(xué)院計(jì)算技術(shù)研究所，高級(jí)工程師

2018年7月 — 2021年9月：中國(guó)科學(xué)院計(jì)算技術(shù)研究所，助理研究員

2012年9月 — 2018年6月：中國(guó)科學(xué)院計(jì)算技術(shù)研究所，博士研究生

2008年9月 — 2012年7月：北京理工大學(xué)，計(jì)算機(jī)學(xué)院，本科生

[1]?L Dai,?L Gong, Z An, Y Xu, B Diao, Sketch-Fusion: A Gradient Compression Method with Multi-Layer Fusion for Communication-Efficient Distributed Training, Journal of Parallel and Distributed Computing, 2024(185).

[2]?L?Huang, Y Zeng, C Yang, Z An, B Diao and Y Xu, eTag: Class-Incremental Learning via Embedding Distillation and Task-Oriented Generation, The Thirty-Eighth AAAI Conference on Artificial Intelligence 2024, AAAI-2024.

[3]?C Yang, Z?An, L Huang, J Bi, X Yu, H Yang, B Diao, Y?Xu, CLIP-KD: An Empirical Study of CLIP Model Distillation, The IEEE / CVF Computer Vision and Pattern Recognition Conference?2024, CVPR-2024.

[4]?D Dong, H Jiang, B Diao,?AKGF: Automatic Kernel Generation for DNN on CPU-FPGA,?The Computer Journal, 2023 (86).

[5]?Y Yao, Z Zhang, K Yang, H Liang, Q Yan, F Zhuang, B Diao, Y Xu and C Li, A Knowledge Enhanced Hierarchical Fusion Network for CTR Prediction under Account Search Scenario in WeChat, International World Wide Web Conference 2023.?WWW-2023.

[6]?Q Wang, T Li, Y Xu, F Wang, B Diao, L Zheng, J Huang, How to prevent malicious use of intelligent unmanned swarms??The Innovation, 2023, 4 (2)

[7]?K Yao, J Wang, B Diao, C Li, Towards Understanding the Generalization of Deepfake Detectors from a Game-Theoretical View, IEEE/CVF International Conference on Computer Vision?2023. ICCV-2023.

[8]?C Li, K Yao, J Wang, B Diao, Y Xu, Q Zhang,?Interpretable Generative Adversarial Networks,?The Thirty-Sixth AAAI Conference on Artificial Intelligence. AAAI-22.

[9]?Q Li, Z Zhang, B Diao, Y Xu, C Li, Towards Understanding the Effect of Node Features on the Predictions of Graph Neural Networks, International Conference on Artificial Neural Networks, ICANN-22.

[10]?J Xu, B Diao, B Cui, K Yang, C Li, Y?Xu, Pruning Filter via Gaussian Distribution Feature for Deep Neural Networks Acceleration, International Joint Conference on Neural Networks.?IJCNN-22.

[11]?J. Xu, B. Diao, B. Cui, C. Li, Y. Xu, and H. Hong, Analysis Of The Influence Degree Of Network Pruning On Fine-grained Image Processing Tasks. 2021 6th International Conference on Signal and Image Processing. ICSIP-21.?(Best Presentation Award)

[12]?F. Wang, B. Diao, T. Sun, and Y. Xu, "Data Security and Privacy Challenges of Computing Offloading in FINs," IEEE Network, vol. 34, no. 2, pp. 14-20, 2020.

[13]?B. Diao,?K. Yang, Y. Mei, Q. Wang, C. Li, and Y. Xu, A scalable testbed for task offloading and deployment of heterogeneous edge computing, in?IEEE International Conferences on Ubiquitous Computing and Communications.?IUCC-19.

[14]?C. Yang, Z. An, C. Li, B. Diao, and Y. Xu, "Multi-objective Pruning for CNNs Using Genetic Algorithm," in 28th International Conference on Artificial Neural Networks, ICANN-19.

[15]?Q. Xie, C. Li, B. Diao, Z. An, and Y. Xu, "L0 Regularization based Fine-grained Neural Network Pruning Method," in 11th International Conference on Electronics, Computers and Artificial Intelligence. ECAI-19.

[16]?B. Diao, Y. Xu, C. Li, Z. An, Q. Wang, and Z. Chen, "A nearest neighbor regression-based channel estimation algorithm for acoustic channel-aware routing," in 2018 OCEANS - MTS/IEEE Kobe Techno-Oceans. OCEANS-18.

[17]?B. Diao, Y. Xu, Q. Wang, Z. Chen, C. Li, Z. An, and G. Han, "A reliable depth-based routing protocol with network coding for underwater sensor networks," in 22nd IEEE International Conference on Parallel and Distributed Systems.?ICPADS-16.

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部分專(zhuān)利：

[1] 一種邊緣數(shù)據(jù)管理方法、介質(zhì)、邊緣服務(wù)器和系統(tǒng)，專(zhuān)利號(hào)：202010588987.9?

[2] 一種基于深度強(qiáng)化學(xué)習(xí)的集群任務(wù)調(diào)度方法及系統(tǒng)，專(zhuān)利號(hào)：202211363177.9

[3] 一種輕量級(jí)多任務(wù)視頻流實(shí)時(shí)推理方法及系統(tǒng)，專(zhuān)利號(hào)：202211348871.3

[4] 一種搜索卷積神經(jīng)網(wǎng)絡(luò)的方法，專(zhuān)利號(hào)：202010012084.6

[5] 面向海量軌跡點(diǎn)數(shù)據(jù)的時(shí)空索引構(gòu)建方法，專(zhuān)利號(hào)：201710270989.1