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ORCIDWenzhe Liu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j24]Yong Zhang, Li Jiang, Da Liu, Wenzhe Liu:
Incomplete multi-view clustering via self-attention networks and feature reconstruction. Appl. Intell. 54(4): 2998-3016 (2024)- [j23]Yimin Jiang, Tingfei Yan, Mingze Yao, Huibing Wang, Wenzhe Liu:
Cascade transformers with dynamic attention for video question answering. Comput. Vis. Image Underst. 242: 103983 (2024) - [j22]Lu-Yao Liu, Wenzhe Liu, Lin Feng:
A Primary task driven adaptive loss function for multi-task speech emotion recognition. Eng. Appl. Artif. Intell. 127(Part B): 107286 (2024) - [j21]Liang Xiao, Wenzhe Liu:
Double-level deep multi-view collaborative learning for image clustering. J. Electronic Imaging 33(5) (2024) - [j20]Cheng Cheng
, Wenzhe Liu, Zhaoxin Fan, Lin Feng, Ziyu Jia:
A novel transformer autoencoder for multi-modal emotion recognition with incomplete data. Neural Networks 172: 106111 (2024) - [j19]Cheng Cheng, Wenzhe Liu, Lin Feng, Ziyu Jia:
Emotion recognition using hierarchical spatial-temporal learning transformer from regional to global brain. Neural Networks 179: 106624 (2024) - [j18]Zhaowei Liu, Xilang Lu, Wenzhe Liu, Wen Qi, Hang Su:
Human-Robot Collaboration Through a Multi-Scale Graph Convolution Neural Network With Temporal Attention. IEEE Robotics Autom. Lett. 9(3): 2248-2255 (2024) - [j17]Cheng Cheng, Wenzhe Liu, Lin Feng, Ziyu Jia:
Dense Graph Convolutional With Joint Cross-Attention Network for Multimodal Emotion Recognition. IEEE Trans. Comput. Soc. Syst. 11(5): 6672-6683 (2024) - [c18]Chengfeng Zhang, Wenjun Fu, Guanglong Wang, Lei Shi, Wenzhe Liu:
Community Discovery in Social Network via Dual-Technique. APWeb/WAIM (3) 2024: 277-291 - [c17]Yong Zhang, Jiongcheng Zhu, Li Jiang, Da Liu, Wenzhe Liu:
Multi-view Bipartite Graph Clustering with Collaborative Regularization. ICIC (LNAI 2) 2024: 318-329 - 2023
- [j16]Wenzhe Liu, Li Jiang, Da Liu, Yong Zhang:
Tensorial Multi-Linear Multi-View Clustering via Schatten-p Norm. IEEE Access 11: 11132-11142 (2023) - [j15]Wenzhe Liu, Luyao Liu, Yong Zhang, Lin Feng:
Enhanced tensor multi-view clustering via dual constraints. Eng. Appl. Artif. Intell. 123(Part A): 106209 (2023) - [j14]Lu-Yao Liu, Wenzhe Liu, Lin Feng:
SDTF-Net: Static and dynamic time-frequency network for Speech Emotion Recognition. Speech Commun. 148: 1-8 (2023) - [j13]Andong Li, Guochen Yu, Chengshi Zheng, Wenzhe Liu, Xiaodong Li:
A General Unfolding Speech Enhancement Method Motivated by Taylor's Theorem. IEEE ACM Trans. Audio Speech Lang. Process. 31: 3629-3646 (2023) - [j12]Cheng Cheng, Yong Zhang, Luyao Liu, Wenzhe Liu, Lin Feng:
Multi-Domain Encoding of Spatiotemporal Dynamics in EEG for Emotion Recognition. IEEE J. Biomed. Health Informatics 27(3): 1342-1353 (2023) - [c16]Sujia Huang, Shunxin Xiao, Wenzhe Liu, Jielong Lu, Zhihao Wu, Shiping Wang, Jagath C. Rajapakse:
Multi-level Knowledge Integration with Graph Convolutional Network for Cancer Molecular Subtype Classification. BIBM 2023: 1983-1988 - [c15]Jun Chen, Yupeng Shi, Wenzhe Liu, Wei Rao, Shulin He, Andong Li, Yannan Wang, Zhiyong Wu, Shidong Shang, Chengshi Zheng:
Gesper: A Unified Framework for General Speech Restoration. ICASSP 2023: 1-2 - [c14]Wei Xiao, Wenzhe Liu, Meng Wang, Shan Yang, Yupeng Shi, Yuyong Kang, Dan Su, Shidong Shang, Dong Yu:
Multi-mode Neural Speech Coding Based on Deep Generative Networks. INTERSPEECH 2023: 819-823 - [c13]Andong Li, Weixin Meng, Guochen Yu, Wenzhe Liu, Xiaodong Li, Chengshi Zheng:
TaylorBeamixer: Learning Taylor-Inspired All-Neural Multi-Channel Speech Enhancement from Beam-Space Dictionary Perspective. INTERSPEECH 2023: 1055-1059 - [c12]Wenzhe Liu, Yupeng Shi, Jun Chen, Wei Rao, Shulin He, Andong Li, Yannan Wang, Zhiyong Wu:
Gesper: A Restoration-Enhancement Framework for General Speech Reconstruction. INTERSPEECH 2023: 4044-4048 - [i12]Wenzhe Liu, Yupeng Shi, Jun Chen, Wei Rao, Shulin He, Andong Li, Yannan Wang, Zhiyong Wu:
Gesper: A Restoration-Enhancement Framework for General Speech Reconstruction. CoRR abs/2306.08454 (2023) - [i11]Wenzhe Liu, Wei Xiao, Meng Wang, Shan Yang, Yupeng Shi, Yuyong Kang, Dan Su, Shidong Shang, Dong Yu:
A High Fidelity and Low Complexity Neural Audio Coding. CoRR abs/2310.10992 (2023) - 2022
- [j11]Wenzhe Liu, Andong Li, Chengshi Zheng, Xiaodong Li:
A separation and interaction framework for causal multi-channel speech enhancement. Digit. Signal Process. 126: 103519 (2022) - [j10]Wenzhe Liu, Luyao Liu, Yong Zhang, Huibing Wang, Lin Feng:
Adaptive multi-view multiple-means clustering via subspace reconstruction. Eng. Appl. Artif. Intell. 114: 104986 (2022) - [j9]Lu-Yao Liu, Wenzhe Liu, Jian Zhou, Huiyuan Deng, Lin Feng:
ATDA: Attentional temporal dynamic activation for speech emotion recognition. Knowl. Based Syst. 243: 108472 (2022) - [j8]Wenzhe Liu, Andong Li, Xiao Wang, Minmin Yuan, Yi Chen, Chengshi Zheng, Xiaodong Li:
A Neural Beamspace-Domain Filter for Real-Time Multi-Channel Speech Enhancement. Symmetry 14(6): 1081 (2022) - [c11]Andong Li, Wenzhe Liu, Chengshi Zheng, Xiaodong Li:
Embedding and Beamforming: All-Neural Causal Beamformer for Multichannel Speech Enhancement. ICASSP 2022: 6487-6491 - [c10]Wenzhe Liu, Luyao Liu, Lin Feng, Huiyuan Deng:
Tensorized Multi-view Clustering via Hyper-graph Regularization. IJCNN 2022: 1-8 - [c9]Guochen Yu, Andong Li, Wenzhe Liu, Chengshi Zheng, Yutian Wang, Hui Wang:
Optimizing Shoulder to Shoulder: A Coordinated Sub-Band Fusion Model for Full-Band Speech Enhancement. ISCSLP 2022: 483-487 - [c8]Run Chen, Yuzhong Xiao, Yonggang Chen, Hua Xu, Peng Yu, Qi Peng, Xian Li, Xiaofeng Guo, Jianlong Huang, Nansong Li, Xueqing Hu, Rongde Ou, Wenzhe Liu, Bei Chen, Wen Zhang, Xiaofeng Xin, Bingcai Zhao, Zhenqi Chen:
A 6.5-to-10GHz IEEE 802.15.4/4z-Compliant 1T3R UWB Transceiver. ISSCC 2022: 396-398 - [i10]Wenzhe Liu, Andong Li, Chengshi Zheng, Xiaodong Li:
A Neural Beam Filter for Real-time Multi-channel Speech Enhancement. CoRR abs/2202.02500 (2022) - [i9]Chengshi Zheng, Wenzhe Liu, Andong Li, Yuxuan Ke, Xiaodong Li:
Low-latency Monaural Speech Enhancement with Deep Filter-bank Equalizer. CoRR abs/2202.06764 (2022) - [i8]Guochen Yu, Andong Li, Wenzhe Liu, Chengshi Zheng, Yutian Wang, Hui Wang:
Optimizing Shoulder to Shoulder: A Coordinated Sub-Band Fusion Model for Real-Time Full-Band Speech Enhancement. CoRR abs/2203.16033 (2022) - [i7]Andong Li, Guochen Yu, Wenzhe Liu, Xiaodong Li, Chengshi Zheng:
TaylorBeamixer: Learning Taylor-Inspired All-Neural Multi-Channel Speech Enhancement from Beam-Space Dictionary Perspective. CoRR abs/2211.12024 (2022) - [i6]Andong Li, Guochen Yu, Chengshi Zheng, Wenzhe Liu, Xiaodong Li:
A General Deep Learning Speech Enhancement Framework Motivated by Taylor's Theorem. CoRR abs/2211.16764 (2022) - 2021
- [j7]Wenzhe Liu, Zhuo Su, Li Liu:
Beyond Vanilla Convolution: Random Pixel Difference Convolution for Face Perception. IEEE Access 9: 139248-139259 (2021) - [j6]Lin Feng, Wenzhe Liu, Xiangzhu Meng, Yong Zhang:
Re-weighted multi-view clustering via triplex regularized non-negative matrix factorization. Neurocomputing 464: 352-363 (2021) - [j5]Wenzhe Liu, Jiehua Zhang, Zhuo Su, Zhongzhu Zhou, Li Liu:
Binary Neural Network for Automated Visual Surface Defect Detection. Sensors 21(20): 6868 (2021) - [j4]Andong Li, Wenzhe Liu, Chengshi Zheng, Cunhang Fan, Xiaodong Li:
Two Heads are Better Than One: A Two-Stage Complex Spectral Mapping Approach for Monaural Speech Enhancement. IEEE ACM Trans. Audio Speech Lang. Process. 29: 1829-1843 (2021) - [c7]Andong Li, Wenzhe Liu, Xiaoxue Luo, Chengshi Zheng, Xiaodong Li:
ICASSP 2021 Deep Noise Suppression Challenge: Decoupling Magnitude and Phase Optimization with a Two-Stage Deep Network. ICASSP 2021: 6628-6632 - [c6]Zhuo Su, Wenzhe Liu, Zitong Yu, Dewen Hu, Qing Liao, Qi Tian, Matti Pietikäinen, Li Liu:
Pixel Difference Networks for Efficient Edge Detection. ICCV 2021: 5097-5107 - [c5]Wenzhe Liu, Andong Li, Yuxuan Ke, Chengshi Zheng, Xiaodong Li:
Know Your Enemy, Know Yourself: A Unified Two-Stage Framework for Speech Enhancement. Interspeech 2021: 186-190 - [c4]Andong Li, Wenzhe Liu, Xiaoxue Luo, Guochen Yu, Chengshi Zheng, Xiaodong Li:
A Simultaneous Denoising and Dereverberation Framework with Target Decoupling. Interspeech 2021: 2801-2805 - [i5]Andong Li, Wenzhe Liu, Xiaoxue Luo, Chengshi Zheng, Xiaodong Li:
ICASSP 2021 Deep Noise Suppression Challenge: Decoupling Magnitude and Phase Optimization with a Two-Stage Deep Network. CoRR abs/2102.04198 (2021) - [i4]Andong Li, Wenzhe Liu, Xiaoxue Luo, Guochen Yu, Chengshi Zheng, Xiaodong Li:
A Simultaneous Denoising and Dereverberation Framework with Target Decoupling. CoRR abs/2106.12743 (2021) - [i3]Xiangzhu Meng, Wei Wei, Wenzhe Liu:
Locality Relationship Constrained Multi-view Clustering Framework. CoRR abs/2107.05073 (2021) - [i2]Zhuo Su, Wenzhe Liu, Zitong Yu, Dewen Hu, Qing Liao, Qi Tian, Matti Pietikäinen, Li Liu:
Pixel Difference Networks for Efficient Edge Detection. CoRR abs/2108.07009 (2021) - [i1]Andong Li, Wenzhe Liu, Chengshi Zheng, Xiaodong Li:
Embedding and Beamforming: All-neural Causal Beamformer for Multichannel Speech Enhancement. CoRR abs/2109.00265 (2021)
2010 – 2019
- 2018
- [j3]Yong Zhang, Jiaxin Yu, Wenzhe Liu, Kaoru Ota:
Ensemble Classification for Skewed Data Streams Based on Neural Network. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 26(5): 839-853 (2018) - 2017
- [j2]Yong Zhang, Wenzhe Liu, Xuezhen Ren, Yonggong Ren:
Dual weighted extreme learning machine for imbalanced data stream classification. J. Intell. Fuzzy Syst. 33(2): 1143-1154 (2017) - 2014
- [j1]Yong Zhang, Panpan Fu, Wenzhe Liu, Guolong Chen:
Imbalanced data classification based on scaling kernel-based support vector machine. Neural Comput. Appl. 25(3-4): 927-935 (2014) - [c3]Yong Zhang, Panpan Fu, Wenzhe Liu, Li Zou:
SVM classification for imbalanced data using conformal kernel transformation. IJCNN 2014: 2894-2900 - 2010
- [c2]Wenzhe Liu:
An effective method for abrupt scene change detection. ICNC 2010: 850-852 - [c1]Wenzhe Liu, Wensheng Wang, Yongli Ma:
Algorithm research of infrared target recognition. ICNC 2010: 3266-3268
Coauthor Index
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last updated on 2024-10-23 21:21 CEST by the dblp team
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