[1] Chenyu Li, Yu Gu∗ , He Zhang, Linsong Liu, Haixiang Lin, Shuang Wang. Hybrid Contrastive Learning Decoupling Speech Emotion Recognition, IEEE International Conference on Acoustics, Speech, and Signal Processing, 2025. (SCI二区,影响因子12.04)
[2] Xu Xi; Yu Gu∗ , Chenyu Li, He Zhang, Haixiang Lin, Linsong Liu. TDMER: A Task-Driven Method for Multimodal
Emotion Recognition, IEEE International Conference on Acoustics, Speech, and Signal Processing, 2025. (SCI二区,影响因子12.04)
[3] Rui Yang, Shuang Wang, Yu Gu, Jihui Wang, Yingzhi Sun, Huan Zhang, Yu Liao, Licheng Jiao; Continual learning for cross-modal image-text retrieval based on domain-selective attention, Pattern Recognition, 2024. (SCI一区,影响因子8.0)
[4] Dou Quan, Huiyuan Wei, Shuang Wang, Yu Gu, Biao Hou, Licheng Jiao. A novel coarse-to-fine deep learning registration framework for multimodal remote sensing images, IEEE Transactions on Geoscience and Remote Sensing, 2024. (SCI一区,影响因子8.2)
[5] Yuanyuan Wang; Yu Gu∗ ; Yifei Yin ;Yingping Han; He Zhang; Shuang Wang; Chengyu Li. Dou Quan; Multimodal transformer augmented fusion for speech emotion recognition, Frontiers in Neurorobotics,2023. (SCI三区,影响因子3.493)
[6] Xiutiao Ye, Shuang Wang, Yu Gu, Jihui Wang, Ruixuan Wang, Biao Hou, Fausto Giunchiglia, Licheng Jiao. A joint-training two-stage method for remote sensing image captioning, IEEE Transactions on Geoscience and Remote Sensing, 2022. (SCI一区,影响因子8.2)
[7] Shuang Wang, Dong Zhao, Chi Zhang, Yuwei Guo, Qi Zang, Yu Gu, Yi Li, Licheng Jiao. Cluster alignment with target knowledge mining for unsupervised domain adaptation semantic segmentation, IEEE Transactions on Image Processing, 2022. (SCI一区,影响因子10.8)
[8] Ying Zhou; Xue feng Liang; Yu Gu*; Yifei Yin; Longshan Yao. Multi-Classifier Interactive Learning for Ambiguous Speech Emotion Recognition. IEEE/ACM Transactions on Audio, Speech and Language Processing, Volume: 30, page: 695 – 705, 2022.(SCI一区,影响因子4.364)
[9] Shuang Wang, XiutiaoYe, Yu Gu*, Jihui Wang, Yun Meng, Jingxian Tian, Biao Hou, Licheng Jiao. Multi-Label Semantic Feature Fusion for Remote Sensing Image Captioning. ISPRS Journal of Photogrammetry and Remote Sensing. Volume 184, Pages 1-18, February 2022. (SCI一区,影响因子11.774)
[10] Quan D, Wang S, Yu Gu, et al. “Deep feature correlation learning for multi-modal remote sensing image registration”, IEEE Transactions on Geoscience and Remote Sensing, 2022. (SCI一区,影响因子8.125)
[11] R Yang, S Wang, Y Sun, H Zhang, Y Liao, Yu Gu, B Hou, L Jiao. “Multimodal Fusion Remote Sensing Image–Audio Retrieval”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote,2022. (SCI二区,影响因子4.715)
[12] Y Zhou, X Liang, X Zhang, Z Liang, C Wang, Yu Gu, Y Yin, “A Joint Framework for Mining Discriminative and Frequent Visual Representation”, Neurocomputing,2022. (SCI二区,影响因子5.779)
[13] Yifei Yin, Yu Gu*, et al. Progressive Co-teaching for Ambiguous Speech Emotion Recognition. 2021 IEEE International Conference on Acoustics, Speech and Signal Processing. (ICASSP 2021). Toronto, Ontario, Canada. 2021.
[14] Rui Yang, Yu Gu* et al. Cross-Modal Feature Fusion Retrieval for Remote Sensing Image-Voice Retrieval. 2021 IEEE International Geoscience and Remote Sensing Symposium. (IGARSS 2021). Brussels, Belgium. 2021.
[15] Yun Meng, Yu Gu*,et al. Multi-View Attention Network for Remote Sensing Image Captioning. 2021 IEEE International Geoscience and Remote Sensing Symposium. (IGARSS 2021). Brussels, Belgium. 2021.
[16] Shuang Wang*, Yun Meng, Yu Gu*, Lei Zhang, Xiutiao Ye, Jingxian Tian, Licheng Jiao. Cascade Attention Fusion for Fine-grained Image Captioning based on Multi-layer LSTM. 2021 IEEE International Conference on Acoustics, Speech and Signal Processing. (ICASSP 2021). Toronto, Ontario, Canada, 2021.
[17] Wang Qian nan; Zhou Ying; Zhu Zhaoyan; Liang Xuefeng; Yu GU; Jointly Discriminating and Frequent Visual Representation Mining, 15th Asian Conference on Computer Vision (ACCV2020),Kyoto, Japan, 2020.
[18] Yu Gu, Eric Postma, and Hai-Xiang Lin “Automatic Speech Emotion Recognition With the Voiced Segment Selection Algorithm.” 22nd European Conference on Artificial Intelligence ECAI 2016, The Hague, Netherlands, 2017.
[19] Yu Gu, Eric Postma, Hai-Xiang Lin and Jaap van den Herik. “Speech Emotion Recognition with Log-Gabor Filters”. 8th International Conference on Agents and Artificial Intelligence ICAART 2016, Rome, Italy.
[20] Yu Gu, Eric Postma, Hai-Xiang Lin. “Vocal Emotion Recognition with Log-Gabor Filters”. In Proceedings of the 5th International Workshop on Audio/Visual Emotion Challenge in ACM Multimedia 2015 (AVEC'15), ACM Multimedia 2015. ACM, New York, NY, USA, 25-31. PP 25-31.
[21] Marie Postma-Nilsenová, Eric Postma and Yu Gu. "No Effect of Language Experience on spectral/fundamental Listener Type Distribution: A comparison of Chinese and Dutch." Fourth International Symposium on Tonal Aspects of Languages. Nijmegen, Netherlands, 2014.
[22] Marie Postma-Nilsenová, Eric Postma, Olga Tsoumani, Yu Gu. “Biases in Auditory Perception: Listener-Specific Preference”, 2014.
[23] Yu GU, Jian YAO, Liang LI, Hua WU.” 3D Reconstruction from Single 2D Image Based on Silhouette Optimization”, The Second International Conference on Information Science and Technology (ICIST2012).
[24] Hua Wu, Zhan Song, Jian Yao, Liang LI, Yu GU. “Stereo Matching Based on support points Propagation”, The Second International Conference on Information Science and Technology (ICIST2012).