[1]  Xinmeng Xu, Weiping Tu and Yuhong Yang. Adaptive Selection of Local and Non-local Attention Mechanisms for Speech Enhancement. Neural Networks, 174(2024), 106236, pp.1-11. DOI: 10.1016/j.neunet.2024.106236

[2]  Youqiang Zheng, Weiping Tu, Li Xiao and Xinmeng Xu. SUPERCODEC: A Neural Speech Codec with Selective Back-Projection Network. In Proceedings of 2024 IEEE International Conference on Acoustics, Speech and Signal Processing, 2024, pp.566-570. DOI: 10.1109/ICASSP48485.2024.10447744

[3]  Youqiang Zheng, Weiping Tu, Li Xiao and Xinmeng Xu. SRCODEC: Split-Residual Vector Quantization for Neural Speech Codec. In Proceedings of 2024 IEEE International Conference on Acoustics, Speech and Signal Processing, 2024, pp.451-455. DOI: 10.1109/ICASSP48485.2024.10445966

[4]  Yiqun Zhang, Xinmeng Xu and Weiping Tu. Improving Acoustic Echo Cancellation by Exploring Speech and Echo Affinity with Multi-head Attention. In Proceedings of 2024 IEEE International Conference on Acoustics, Speech and Signal Processing, 2024, pp.401-405. DOI: 10.1109/ICASSP48485.2024.10446389

[5]  Xinmeng Xu, Chang Han, Yiqun Zhang, Weiping Tu and Yuhong Yang. Curricular Contrastive Regularization for Speech Enhancement with Self-Supervised Representations. In Proceedings of 2024 IEEE International Conference on Acoustics, Speech and Signal Processing, 2024, pp.10486-10490. DOI: 10.1109/ICASSP48485.2024.10445912

[6]  Xinmeng Xu, Weiping Tu and Yuhong Yang. Selector-Enhancer Learning Dynamic Selection of Local and Non-local Attention Operation for Speech Enhancement. In Proceedings of the Thirty-seventh AAAI Conference on Artificial Intelligence (AAAI-2023), pp. 13853-13860.

[7]  Xinmeng Xu, Weiping Tu and Yuhong Yang. CASE-NET: Integrating Local and Non-local Attention Operations for Speech Enhancement. Speech Communication. Vol. 148(2023), PP. 31-39. DOI: 10.1016/j.specom.2023.02.006

[8]  Jingyi Li, Li Xiao and Weiping Tu. FREEVC: Towards High-Quality Text-Free One-Shot Voice Conversion. In Proceedings of 2023 IEEE International Conference on Acoustics, Speech and Signal Processing, 2023, pp.1-5. DOI: 10.1109/ICASSP49357.2023.10095191

[9]  Yajie Liu, Xinmeng Xu, Weiping Tu, Yuhong Yang and Li Xiao. Improving Acoustic Echo Cancellation by Mixing Speech Local and Global Features with Transformer. In Proceedings of 2023 IEEE International Conference on Acoustics, Speech and Signal Processing, 2023, pp.1-5. DOI: 10.1109/ICASSP49357.2023.10096930

[10]  Qianhui Xu, Weiping Tu, Yong Luo, Xin Zhou, Li Xiao, and Youqiang Zheng. MBMS-GAN: Multi-Band Multi-Scale Adversarial Learning for Enhancement of Coded Speech at Very Low Rate. In Proceedings of 32th International Conference on Artificial Neural Networks (ICANN 2023).DOI: 10.1007/978-3-031-44195-0_38

[11]  Youqiang Zheng, Li Xiao, Weiping Tu, Yuhong Yang, and Xinmeng Xu. CQNV: A Combination of Coarsely Quantized Bitstream and Neural Vocoder for Low Rate Speech Coding. In Proceedings of Interspeech 2023,  pp.171-175. DOI: 10.21437/Interspeech.2023-1562.

[12]  Chang Han, Xinmeng Xu, Weiping Tu, Yuhong Yang, Yajie Liu. Exploring the Interactions between Target Positive and Negative Information for Acoustic Echo Cancellation. In Proceedings of Interspeech 2023,  pp.2443-2447. DOI: 10.21437/Interspeech.2023-1364.

[13]  Xinmeng Xu, Weiping Tu , Yuhong Yang. PCNN: A Lightweight Parallel Conformer Neural Network for Efficient Monaural Speech Enhancement. In Proceedings of Interspeech 2023,  pp.2438-2442. DOI: 10.21437/Interspeech.2023-1376.

[14]  Li Xiao, Xiuping Yang, Xinhong Li, Weiping Tu, Xiong Chen, Weiyan Yi, Jie Lin, Yuhong Yang, and Yanzhen Ren. A Snoring Sound Dataset for Body Position Recognition: Collection, Annotation, and Analysis. In Proceedings of Interspeech 2023,  pp.5416-5420. DOI: 10.21437/Interspeech.2023-1430

[15]  Xinhong Li, Baoai Han, Li Xiao, Xiuping Yang, Weiping Tu, Xiong Chen, Weiyan Yi, Jie Lin, Yuhong Yang, and Yanzhen Ren. ONEI: Unveiling Route and Phase of Breathing from Snoring Sounds. In Proceedings of 2023 International Conference on Neural Information Processing. pp. 494-505. DOI: 10.1007/978-981-99-8138-0_39

[16]  Chang Han, Weiping Tu, Yuhong Yang, Jingyi Li and Xinhong Li. Speaker- and Phone-aware Convolutional Transformer Network for Acoustic Echo Cancellation. In Proceedings of Interspeech 2022, pp. 2513-2517. DOI: 10.21437/Interspeech.2022-10077

[17]  Ning Li, Weiping Tu, and Haojun Ai. A Sparse Feature Matching Model Using a Transformer Towards Large-View Indoor Visual Localization. Wireless Communications and Mobile Computing. Vol. 2022, pp. 1-12. DOI: 10.1155/2022/1243041

[18]  Ning Li, Weiping Tu, Haojun Ai, Huimin Deng, Jingjie Tao, Tan Hu, and Xu Sun. VISEL: A Visual and Magnetic Fusion-based Large-Scale Indoor Localization System with Improved High-Precision Semantic Maps. International Journal of Intelligent Systems, Vol.37(10), pp. 7992-8020, 2022, DOI: 10.1002/int.22913

[19]  Youfa Liu, Bo Du, Weiping Tu, Mingming Gong, Yuhong Guo and Dacheng Tao. LogDet Metric-Based Domain Adaptation. IEEE Transactions on Neural Networks and Learning Systems. Vol. 31(11), pp. 4673-4687, 2020 DOI: 10.1109/TNNLS.2019.2957229  

[20]  Wang, Zengmao; Xiao, Pan; Tu, Weiping; Du, Bo; Cheng, Yanxiang. Bi-adapting Kernel Learning for Unsupervised Domain Adaptation. Neurocomputing, Vol. 398, pp. 547-554, 2020. DOI: 10.1016/j.neucom.2019.03.101

[21]  Tu, Weiping; Yang, Yuhong; Du, Bo; Yang, Wanzhao; Zhang, Xiong; Zheng, Jiaxi. RNN-based Signal Classification for Hybrid Audio Data Compression. Computing, Vol. 102 (3), pp. 813-827, 2020. DOI: 10.1007/s00607-019-00713-8

[22]  Luo, Fulin; Huang, Yajuan; Tu, Weiping; Liu, Jiamin. Local Manifold Sparse Model for Image Classification. NEUROCOMPUTING, Vol. 382, pp.162-173, Mar. 2020. DOI: 10.1016/j.neucom.2019.11.084

[23]  Liu, Youfa; Tu, Weiping; Du, Bo; Zhang, Lefei; Tao, Dacheng. Homologous Component Analysis for Domain Adaptation. IEEE Transctions on Image Processing, Vol. 29, pp. 1074-1089, 2020. DOI: 10.1109/TIP.2019.2929421

[24]  Tu, Weiping; Yang, Yuhong; Du, Bo; Zheng, Jiaxi; Zhai, Shuangxing. Towards a Real-Time Production of Immersive Spatial Audio of High Individuality with an RBF Neural Network. Journal of Parallel and Distributed Computing, Vol. 131, pp. 120-129, September 2019. DOI: 10.1016/j.jpdc.2019.04.020 

[25]  Wang, Zengmao; Du, Bo; Shi, Qian; Tu, Weiping. Domain Adaptation With Discriminative Distribution and Manifold Embedding for Hyperspectral Image Classification. IEEE Gepscience and Remote Sensing Letters, Vol. 16(7), pp. 1155-1159, 2019. DOI: 10.1109/LGRS.2018.2889967. 

[26]  Wang, Zengmao; Du, Bo; Tu, Weiping; Zhang, Lefei; Tao, Dacheng. Incorporating Distribution Matching into Uncertainty for Multiple Kernel Active Learning. IEEE Transactions on Knowledge and Data Engineering, Vol. 33(1), pp. 128-142, 2019.  DOI: 10.1109/TKDE.2019.2923211. 

[27]  Jiaxi Zheng, Weiping Tu, Xiong Zhang, Wanzhao Yang, Shuangxing Zhai and Chen Shen. A Sound Image Reproduction Model Based on Personalized Weight Vectors. In Proceedings of 19th Pacific-Rim Conference on Multimedia – PCM 2018. pp. 607-617. DOI: 10.1007/978-3-030-00767-6_56 

[28]  Yang, Wanzhao; Tu, Weiping; Zheng, Jiaxi; Zhang, Xiong; Yang, Yuhong; etx. An RNN-Based Speech-Music Discrimination Used for Hybrid Audio Coder. In Proceedings of International Conference on Multimedia Modeling, pp. 81-92, 2018. DOI: 10.1007/978-3-319-73603-7_7

[29]  Song, Yucheng; Tu, Weiping; Hu, Ruimin; Wang, Xiaochen; Chen, Wei; etc. An Efficient Method Using the Parameterized HRTFs for 3D Audio Real-Time Rendering on Mobile Devices. In Proceedings of 18th Pacific-Rim Conference on Multimedia – PCM 2017, pp.663-673 DOI: 10.1007/978-3-319-77383-4_65