Publications
Mainly Work
- Kong M, Su R*, Zhao S, Hou M. DEPHN: Different Expression Parallel Heterogeneous Network using virtual gradient optimization for Multi-task Learning[C]//2023 International Joint Conference on Neural Networks (IJCNN). IEEE, 2023: 1-8. [pdf][pages]
- Su R, Hounye A H, Hou M, Cao C*. PHN: Parallel heterogeneous network with soft gating for CTR prediction[C]//CAAI International Conference on Artificial Intelligence. Cham: Springer Nature Switzerland, 2022: 413-424. [pdf][pages]
- Su R, Song J, Wang Z, Mao S, Mao Y, Wu X, Hou M*. Application of high resolution computed tomography image assisted classification model of middle ear diseases based on 3D-convolutional neural network[J]. Journal of Central South University. Medical Sciences (CN), 2022, 47(8): 1037-1048. [pdf][pages]
- Wang Z, Song J, Su R, Hou M, Qi M, Zhang J, Wu X*. Structure-aware deep learning for chronic middle ear disease[J]. Expert Systems with Applications, 2022, 194: 116519. [pdf][pages]
Other participation work
- M Kong, S Zhao, J Cheng, X Li, R Su, M Hou, C Cao*. FaFCNN: A General Disease Classification Framework Based on Feature Fusion Neural Networks[J]. arXiv preprint arXiv:2307.12518, 2023.
- M Kong, M Hou, S Zhao, F Liu, R Su, Y Chen*. DADIN: Domain Adversarial Deep Interest Network for Cross Domain Recommender Systems[J]. arXiv preprint arXiv:2305.12058, 2023.
- C Cao, J Song, R Su, X Wu, Z Wang, M Hou*. Structure-constrained deep feature fusion for chronic otitis media and cholesteatoma identification[J]. Multimedia Tools and Applications, 2023: 1-21.
- HE F, DAI Y, LI Z, SU R, CAO C, WANG J, DAI L, HOU M, WANG Z*. Deep Learned Esophageal Contraction Vigor Classification on High-resolution Manometry Images[J]. Journal of Electronics & Information Technology (CN), 2022, 44(1): 78-88.
(Notice: “*” is the corresponding author)