【科研论文】

[1] Zhang Chuanfei, Liu Yan*, Zhang Tianhao, et al. Non-Autoregressive Transformer with Unified Bidirectional Decoder for Automatic Speech Recognition[C]. ICASSP 2022: 6527-6531.

[2] Li Mengxuan, Liu Yan*, Liu Qi, et al. Semi-Supervised Fine-Grained Classification with Web Data via Noisy Sample Selection [C]. ICPR 2022: 5024-5030.

[3] Liu Yan, Ren Qirui, Geng Jiahui, et al. Efficient Patch-Wise Semantic Segmentation for Large-Scale Remote Sensing Images[J]. Sensors, 2018, 18(10): 3232.

[4] Liu Yan, Mo Lipo. Noise-Induced Truth Seeking of Heterogeneous Hegselmann-Krause Opinion Dynamics[J]. Advances in Mathematical Physics, 2018(11): 8702152.

[5] Liu Xiaopeng, Liu Yan*, Wang Hong, et al. Real-Time Human Body Detection Based on YOLOv2 Network[C]. ICMIC2019, 582: 465-473.

[6] Liu Yan, Wang Yaoping, Zeng Chan, et al. Edge detection for conveyor belt based on the deep convolutional network[C]. CISC2018, 529(10): 275-283.

[7] Liu Yan, Geng Jiahui, Su Zhenfeng, et al. Real-time classification of steel strip surface defects based on deep CNNs[C]. CISC2018, 529(10): 257-266.

[8] Liu Yan, Wang Yupeng, Li Jiangyun. Research of strip flatness control based on legendre polynomial decomposition[J]. Open Automation and Control Systems Journal, 2015, 7(1): 203-211.

[9] Liu Yan, Tong Chaonan, Li Jiangyun. An energy analysis based deflection model for roll bending setting[J]. International Journal of Earth Sciences and Engineering, 2015, 8(1): 517-522.

[10] Liu Yan, Yang Ruijian, Wang Yinhu, et al. Neural Network Method for Measuring Plate Based on Machine Vision[C]. ICEECE 2015: 389-392.

[11] Liu Yan, Tong Chaonan, Lin Fengqin. Rolling force prediction based on wavelet multiple-RBF neural network[C]. ICIA 2012: 941-944.

【教研论文】

[1] 刘艳，李擎，李江昀，等．电气信息类创新人才培养的探索与实践[J]．高等理科教育，2020，150(2)：111-115．

[2] 刘艳，李擎，李江昀，等．工业组态软件课程对工程认证能力培养的支撑实践[J]．中国冶金教育，2022，208(1)：1-6．

【出版教材】

[1] 李擎，刘艳，李江昀，等．Control Network Technology[M]．冶金工业出版社，2019．

[2] 彭开香，董洁，刘艳，等．过程控制[M]．北京：冶金工业出版社，2016．