主要學(xué)習(xí)經(jīng)歷:
2013.09-2017.06 青島理工大學(xué),應(yīng)用物理學(xué),學(xué)士
2017.09-2023.01 中國科學(xué)院大學(xué)&中國科學(xué)院微電子研究所,電路與系統(tǒng),碩博連讀,博士
2023.05-至今 安徽工程大學(xué),計算機與信息學(xué)院,講師,碩士生導(dǎo)師
研究方向:機器學(xué)習(xí)、計算機視覺、模型輕量化、區(qū)塊鏈
主持/參與科研項目:
1. 產(chǎn)學(xué)研合作項目,面向工業(yè)產(chǎn)線的多源異構(gòu)數(shù)據(jù)融合及智能分析系統(tǒng),2024/1-2025/3,在研、主持。
2. 蕪湖市科技計劃,基于深度學(xué)習(xí)的機器人視覺分揀關(guān)鍵技術(shù)研究,2023/1-2024/12,在研、主持。
3. 國家重點研發(fā)計劃,優(yōu)質(zhì)果蔬智能化品質(zhì)分級技術(shù)裝備研發(fā),結(jié)題,參與
科研論文:
1. Diao H, Li G, Xu S, et al. Self-distillation enhanced adaptive pruning of convolutional neural networks[J]. Pattern Recognition, 2025, 157: 110942.
2. Diao H, Li G, Xu S, et al. Attention Round for post-training quantization[J]. Neurocomputing, 2024, 565: 127012.
3. Diao H, Li G, Xu S, et al. PA-NAS: Partial operation activation for memory-efficient architecture search[J]. Applied Intelligence, 2022, 52(8): 9373-9387.
4. Diao H, Hao Y, Xu S, et al. Implementation of lightweight convolutional neural networks via layer-wise differentiable compression[J]. Sensors, 2021, 21(10): 3464.
5. Wang W, Kong C, Diao H. Path Planning of UGV via Deep Reinforcement Learning with Observation Enhancement[C]//2024 IEEE 2nd International Conference on Control, Electronics and Computer Technology (ICCECT). IEEE, 2024: 1552-1558.
6. Wang W, Kong C, Diao H. Proximal Policy Optimization Based USV Navigation Under Auxiliary Soft Policy Constraints[C]//2024 IEEE 2nd International Conference on Control, Electronics and Computer Technology (ICCECT). IEEE, 2024: 1559-1565.
7. Wang W, Huang S, Diao H. Robust Strategy Generation for Automatic Navigation of Unmanned Surface Vehicles through Improved DDPG Algorithm[J]. Journal of Robotics, 2024, 2024(1): 7328944.
發(fā)明專利:
1. 史朝坤,刁華彬等;一種基于剪枝輕量化模型的包裹識別方法與系統(tǒng)(ZL 2022 1 0447343.7)