研究方向：

1.计算机视觉，机器学习

2.工业智能装备，机器人

3.图像处理

发表学术论文,出版专著情况：

[1] X. Zhao, H.C. Yu*, M.K. Feng, and G. Sun . Accurate grasp detection learning using oriented regression loss[J]. Industrial Robot, 2022,49(1), 160-167.

[2] G. Sun, H.C. Yu*, X.T. Jiang, and M.K. Feng. Adaptive Feature Pyramid Network to Predict Crisp Boundaries via NMS Layer and ODS F-Measure Loss Function. Information. 2022; 13(1):32. 

[3] W.S. Fan, H.C. Yu*, T.M. Chen, and S. Ji. OCT Image Restoration Using Non-Local Deep Image Prior[J]. Electronics. 2020, 9, 784.

[4] H.C. Yu, W.K. Wang, and W.S. Fan. An Adaptive Iterative Algorithm for Motion Deblurring Based on Salient Intensity Prior[J], KSII Transactions on Internet and Information Systems,2019, 13(2), 855-870.

[5] H.C. Yu, H.B. Qin, and M.T. Peng. A Fast Approach to Texture-Less Object Detection Based on Orientation Compressing Map and Discriminative Regional Weight. Algorithms. 2018; 11(12):201.

[6] H.C. Yu, and T. Wang. A Vision-based Technique for Circle Detection and Measurement Using Look-up Table and Bitwise Center Accumulator[J]. Journal of the Optical Society of America A, optics, image science, and vision, 2017, 34 (3), 415-423.

[7] H.C. Yu, J.L. Gao, and A.T. Li. Probability-based non-local means filter for speckle noise suppression in optical coherence tomography images[J]. Optics Letters, 2016, 41(5), 994-997.

[8] H.C. Yu, and A.T. Li. Real-Time Non-Local Means Image Denoising Algorithm Based on Local Binary Descriptor[J]. KSII Transactions on Internet and Information Systems, 2016, 10(2), 825-836.

[9] H.C. Yu, L. Zhao , H.X. Wang. An Efficient Edge-based Bilateral Filter for Restoring Real Noisy Image [J]. IEEE Transactions on Consumer Electronics, 2011, 57 (2). 682–687.

[10] H.C. Yu, L. Zhao , H.X. Wang. Denoising Using Trivariate Shrinkage Filter in the Wavelet Domain and Joint Bilateral Filter in the Spatial Domain [J]. IEEE Transactions on Image Processing, 2009, 18 (10), 2364–2369.

[11] Yu H, Zhao L, Wang H. An Efficient Procedure for Removing Random-Valued Impulse Noise in Images[J]. IEEE Signal Processing Letters, 2008, 15 (12), 922–925.

科研成果获奖及专利：

教育部自然科学二等奖(2016)

承担的科研项目情况：

目前承担多项科研项目

指导研究生情况：

研究方向热门，就业前景好，指导研究生已毕业14人，均在一线企事业单位工作

备注：

欢迎对人工智能，计算机视觉方向感兴趣同学的积极联系，相信你能在研究生阶段遇到一个更好的自己

招收电子与通信工程专硕、电子科学与技术学硕、985高校调剂生