Wenzhe Liu

According to our database, Wenzhe Liu authored at least 49 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Dense Graph Convolutional With Joint Cross-Attention Network for Multimodal Emotion Recognition.

Cheng Cheng, Wenzhe Liu, Lin Feng, Ziyu Jia

IEEE Trans. Comput. Soc. Syst., October, 2024

A Primary task driven adaptive loss function for multi-task speech emotion recognition.

Lu-Yao Liu, Wenzhe Liu, Lin Feng

Eng. Appl. Artif. Intell., January, 2024

Human-Robot Collaboration Through a Multi-Scale Graph Convolution Neural Network With Temporal Attention.

Zhaowei Liu, Xilang Lu, Wenzhe Liu, Wen Qi, Hang Su

IEEE Robotics Autom. Lett., 2024

Emotion recognition using hierarchical spatial-temporal learning transformer from regional to global brain.

Cheng Cheng, Wenzhe Liu, Lin Feng, Ziyu Jia

Neural Networks, 2024

A novel transformer autoencoder for multi-modal emotion recognition with incomplete data.

Cheng Cheng, Wenzhe Liu, Zhaoxin Fan, Lin Feng, Ziyu Jia

Neural Networks, 2024

Double-level deep multi-view collaborative learning for image clustering.

Liang Xiao, Wenzhe Liu

J. Electronic Imaging, 2024

Cascade transformers with dynamic attention for video question answering.

Yimin Jiang, Tingfei Yan, Mingze Yao, Huibing Wang, Wenzhe Liu

Comput. Vis. Image Underst., 2024

Incomplete multi-view clustering via self-attention networks and feature reconstruction.

Yong Zhang, Li Jiang, Da Liu, Wenzhe Liu

Appl. Intell., 2024

Multi-view Bipartite Graph Clustering with Collaborative Regularization.

Yong Zhang, Jiongcheng Zhu, Li Jiang, Da Liu, Wenzhe Liu

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Community Discovery in Social Network via Dual-Technique.

Chengfeng Zhang, Wenjun Fu, Guanglong Wang, Lei Shi, Wenzhe Liu

Proceedings of the Web and Big Data - 8th International Joint Conference, 2024

2023

Multi-Domain Encoding of Spatiotemporal Dynamics in EEG for Emotion Recognition.

Cheng Cheng, Yong Zhang, Luyao Liu, Wenzhe Liu, Lin Feng

IEEE J. Biomed. Health Informatics, March, 2023

SDTF-Net: Static and dynamic time-frequency network for Speech Emotion Recognition.

Lu-Yao Liu, Wenzhe Liu, Lin Feng

Speech Commun., March, 2023

A General Unfolding Speech Enhancement Method Motivated by Taylor's Theorem.

Andong Li, Guochen Yu, Chengshi Zheng, Wenzhe Liu, Xiaodong Li

IEEE ACM Trans. Audio Speech Lang. Process., 2023

Enhanced tensor multi-view clustering via dual constraints.

Wenzhe Liu, Luyao Liu, Yong Zhang, Lin Feng

Eng. Appl. Artif. Intell., 2023

A High Fidelity and Low Complexity Neural Audio Coding.

Wenzhe Liu, Wei Xiao, Meng Wang, Shan Yang, Yupeng Shi, Yuyong Kang, Dan Su, Shidong Shang, Dong Yu

CoRR, 2023

Tensorial Multi-Linear Multi-View Clustering via Schatten-p Norm.

Wenzhe Liu, Li Jiang, Da Liu, Yong Zhang

IEEE Access, 2023

Multi-mode Neural Speech Coding Based on Deep Generative Networks.

Wei Xiao, Wenzhe Liu, Meng Wang, Shan Yang, Yupeng Shi, Yuyong Kang, Dan Su, Shidong Shang, Dong Yu

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Gesper: A Restoration-Enhancement Framework for General Speech Reconstruction.

Wenzhe Liu, Yupeng Shi, Jun Chen, Wei Rao, Shulin He, Andong Li, Yannan Wang, Zhiyong Wu

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

TaylorBeamixer: Learning Taylor-Inspired All-Neural Multi-Channel Speech Enhancement from Beam-Space Dictionary Perspective.

Andong Li, Weixin Meng, Guochen Yu, Wenzhe Liu, Xiaodong Li, Chengshi Zheng

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Gesper: A Unified Framework for General Speech Restoration.

Jun Chen, Yupeng Shi, Wenzhe Liu, Wei Rao, Shulin He, Andong Li, Yannan Wang, Zhiyong Wu, Shidong Shang, Chengshi Zheng

Proceedings of the IEEE International Conference on Acoustics, 2023

Multi-level Knowledge Integration with Graph Convolutional Network for Cancer Molecular Subtype Classification.

Sujia Huang, Shunxin Xiao, Wenzhe Liu, Jielong Lu, Zhihao Wu, Shiping Wang, Jagath C. Rajapakse

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

A Neural Beamspace-Domain Filter for Real-Time Multi-Channel Speech Enhancement.

Wenzhe Liu, Andong Li, Xiao Wang, Minmin Yuan, Yi Chen, Chengshi Zheng, Xiaodong Li

Symmetry, 2022

ATDA: Attentional temporal dynamic activation for speech emotion recognition.

Lu-Yao Liu, Wenzhe Liu, Jian Zhou, Huiyuan Deng, Lin Feng

Knowl. Based Syst., 2022

Adaptive multi-view multiple-means clustering via subspace reconstruction.

Wenzhe Liu, Luyao Liu, Yong Zhang, Huibing Wang, Lin Feng

Eng. Appl. Artif. Intell., 2022

A separation and interaction framework for causal multi-channel speech enhancement.

Wenzhe Liu, Andong Li, Chengshi Zheng, Xiaodong Li

Digit. Signal Process., 2022

A General Deep Learning Speech Enhancement Framework Motivated by Taylor's Theorem.

Andong Li, Guochen Yu, Chengshi Zheng, Wenzhe Liu, Xiaodong Li

CoRR, 2022

TaylorBeamixer: Learning Taylor-Inspired All-Neural Multi-Channel Speech Enhancement from Beam-Space Dictionary Perspective.

Andong Li, Guochen Yu, Wenzhe Liu, Xiaodong Li, Chengshi Zheng

CoRR, 2022

Optimizing Shoulder to Shoulder: A Coordinated Sub-Band Fusion Model for Real-Time Full-Band Speech Enhancement.

Guochen Yu, Andong Li, Wenzhe Liu, Chengshi Zheng, Yutian Wang, Hui Wang

CoRR, 2022

Low-latency Monaural Speech Enhancement with Deep Filter-bank Equalizer.

Chengshi Zheng, Wenzhe Liu, Andong Li, Yuxuan Ke, Xiaodong Li

CoRR, 2022

A Neural Beam Filter for Real-time Multi-channel Speech Enhancement.

Wenzhe Liu, Andong Li, Chengshi Zheng, Xiaodong Li

CoRR, 2022

A 6.5-to-10GHz IEEE 802.15.4/4z-Compliant 1T3R UWB Transceiver.

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

Proceedings of the IEEE International Solid-State Circuits Conference, 2022

Optimizing Shoulder to Shoulder: A Coordinated Sub-Band Fusion Model for Full-Band Speech Enhancement.

Guochen Yu, Andong Li, Wenzhe Liu, Chengshi Zheng, Yutian Wang, Hui Wang

Proceedings of the 13th International Symposium on Chinese Spoken Language Processing, 2022

Tensorized Multi-view Clustering via Hyper-graph Regularization.

Wenzhe Liu, Luyao Liu, Lin Feng, Huiyuan Deng

Proceedings of the International Joint Conference on Neural Networks, 2022

Embedding and Beamforming: All-Neural Causal Beamformer for Multichannel Speech Enhancement.

Andong Li, Wenzhe Liu, Chengshi Zheng, Xiaodong Li

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Two Heads are Better Than One: A Two-Stage Complex Spectral Mapping Approach for Monaural Speech Enhancement.

Andong Li, Wenzhe Liu, Chengshi Zheng, Cunhang Fan, Xiaodong Li

IEEE ACM Trans. Audio Speech Lang. Process., 2021

Binary Neural Network for Automated Visual Surface Defect Detection.

Wenzhe Liu, Jiehua Zhang, Zhuo Su, Zhongzhu Zhou, Li Liu

Sensors, 2021

Re-weighted multi-view clustering via triplex regularized non-negative matrix factorization.

Lin Feng, Wenzhe Liu, Xiangzhu Meng, Yong Zhang

Neurocomputing, 2021

Locality Relationship Constrained Multi-view Clustering Framework.

Xiangzhu Meng, Wei Wei, Wenzhe Liu

CoRR, 2021

Beyond Vanilla Convolution: Random Pixel Difference Convolution for Face Perception.

Wenzhe Liu, Zhuo Su, Li Liu

IEEE Access, 2021

Know Your Enemy, Know Yourself: A Unified Two-Stage Framework for Speech Enhancement.

Wenzhe Liu, Andong Li, Yuxuan Ke, Chengshi Zheng, Xiaodong Li

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

A Simultaneous Denoising and Dereverberation Framework with Target Decoupling.

Andong Li, Wenzhe Liu, Xiaoxue Luo, Guochen Yu, Chengshi Zheng, Xiaodong Li

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Pixel Difference Networks for Efficient Edge Detection.

Zhuo Su, Wenzhe Liu, Zitong Yu, Dewen Hu, Qing Liao, Qi Tian, Matti Pietikäinen, Li Liu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

ICASSP 2021 Deep Noise Suppression Challenge: Decoupling Magnitude and Phase Optimization with a Two-Stage Deep Network.

Andong Li, Wenzhe Liu, Xiaoxue Luo, Chengshi Zheng, Xiaodong Li

Proceedings of the IEEE International Conference on Acoustics, 2021

2018

Ensemble Classification for Skewed Data Streams Based on Neural Network.

Yong Zhang, Jiaxin Yu, Wenzhe Liu, Kaoru Ota

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2018

2017

Dual weighted extreme learning machine for imbalanced data stream classification.

Yong Zhang, Wenzhe Liu, Xuezhen Ren, Yonggong Ren

J. Intell. Fuzzy Syst., 2017

2014

Imbalanced data classification based on scaling kernel-based support vector machine.

Yong Zhang, Panpan Fu, Wenzhe Liu, Guolong Chen

Neural Comput. Appl., 2014

SVM classification for imbalanced data using conformal kernel transformation.

Yong Zhang, Panpan Fu, Wenzhe Liu, Li Zou

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2010

Algorithm research of infrared target recognition.

Wenzhe Liu, Wensheng Wang, Yongli Ma

Proceedings of the Sixth International Conference on Natural Computation, 2010

An effective method for abrupt scene change detection.

Wenzhe Liu

Proceedings of the Sixth International Conference on Natural Computation, 2010