WenZhe Liu - RankMe

80 papers A* 2A 5B 2Misc 5Journal 60Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Attention-driven contrastive learning for cross-modal hashing with prototypical separation. Inf. Fusion Zhipeng He, WenZhe Liu, Lian Wu, Jinrong Cui, Jie Wen
2026	J	`jnl`	Boosting graph neural network via dynamic structure refinement for multi-omics cancer classification. Neurocomputing Sheng Huang, Sifan Chen, Sujia Huang, WenZhe Liu, Zhiyu Chen
2026	J	`jnl`	GloryIMVC: global-driven information theory for incomplete multi-view clustering. Knowl. Inf. Syst. Yong Zhang, Li Jiang, WenZhe Liu, Hongwei Yin
2026	J	`jnl`	Hierarchical structure-guided incomplete multi-view tensor clustering. Appl. Intell. Jiaxin Yang, Qian Liu, Honglin Liu, Chunyan Yang, Wengeng Chen, WenZhe Liu, Huibing Wang
2026	J	`jnl`	Modality-aware fusion with alignment and balancing for robust multimodal emotion recognition. Inf. Fusion Cheng Cheng, WenZhe Liu, Ruisi Shang, Yikang Cheng, Ziyu Jia
2026	J	`jnl`	Multi-view multi-scale adapter squeeze excitation network with domain generalization for cross-subject emotion recognition. Expert Syst. Appl. Cheng Cheng, WenZhe Liu, Ziyu Jia, Weiqi He
2026	J	`jnl`	One-step multi-view graph clustering via bottom-up structural learning. Pattern Recognit. WenZhe Liu, Li Jiang, Huibing Wang, Yong Zhang
2026	J	`jnl`	Partially view-aligned clustering via data recoupling and elastic bi-consistency learning. Expert Syst. Appl. WenZhe Liu, Jiongcheng Zhu, Jingbo Tan, Huibing Wang, Yong Zhang
2026	J	`jnl`	S2FEINet: A spatial-spectral feature extraction and interactive network for fusing hyperspectral and multispectral images. Inf. Fusion Yong Zhang, Dayun Wu, Wenlong Ke, WenZhe Liu
2025	J	`jnl`	A Cross-Modal Adaptive Masked Autoencoder for Decoding Emotions With Multimodal Data. IEEE Trans. Comput. Soc. Syst. Cheng Cheng, WenZhe Liu, Yong Zhang, Lin Feng, Ziyu Jia
2025	J	`jnl`	A Multi-stage Hemisphere Asymmetry Fusion Network Inspired by the brain for EEG depression detection. Inf. Fusion Cheng Cheng, WenZhe Liu, Ziyu Jia, Wenbo Luo
2025	A*	`conf`	Boosting Graph Convolution with Disparity-induced Structural Refinement. WWW Sujia Huang, Yueyang Pi, Tong Zhang, WenZhe Liu, Zhen Cui
2025	J	`jnl`	DISD-Net: A Dynamic Interactive Network With Self-Distillation for Cross-Subject Multi-Modal Emotion Recognition. IEEE Trans. Multim. Cheng Cheng, WenZhe Liu, Xinying Wang, Lin Feng, Ziyu Jia
2025	J	`jnl`	Detail-focused and polarization-guided multi-modality fusion for underwater image clarity enhancing. Eng. Appl. Artif. Intell. Mingze Yao, Huibing Wang, Yudong Li, WenZhe Liu, Xianping Fu
2025	J	`jnl`	Dual-Driven Cross-Modal Contrastive Hashing Retrieval Network Via Structural Feature and Semantic Information. Inf. Fusion Cheng Huang, WenZhe Liu, Jinghua Wang, Jinrong Cui, Jie Wen
2025	J	`jnl`	EEG emotion recognition approach using multi-scale convolution and feature fusion. Vis. Comput. Yong Zhang, Qingguo Shan, Wenyun Chen, WenZhe Liu
2025	J	`jnl`	Feature decomposition and structural learning for multi-diverse and multi-view data clustering. Vis. Comput. Yong Zhang, Da Liu, Li Jiang, Huibing Wang, WenZhe Liu
2025	J	`jnl`	Hierarchical multi-view image clustering. J. Electronic Imaging WenZhe Liu, Jiongcheng Zhu, Jingbo Tan, Kun Liu, Yong Zhang, Minmin Miao
2025	J	`jnl`	Improving vision-language alignment with graph spiking hybrid networks. Knowl. Based Syst. Siyu Zhang, WenZhe Liu, Yeming Chen, Yiming Wu, Heming Zheng, Cheng Cheng
2025	—	`conf`	Multi-view Cancer Subtype Identification Based on a Dual-Channel Encoder and Cauchy-Schwarz Divergence. ICONIP (2) Yong Zhang, Kun Liu, Jiongcheng Zhu, WenZhe Liu
2025	J	`jnl`	Open set domain adaptation via unknown construction and dynamic threshold estimation. Neurocomputing Yong Zhang, Qi Zhang, WenZhe Liu
2025	J	`jnl`	PAUL: Uncertainty-Guided Partition and Augmentation for Robust Cross-View Geo-Localization under Noisy Correspondence. CoRR Zheng Li, Yanming Guo, WenZhe Liu, Xueyi Zhang, Zhaoyun Ding, Long Xu, Mingrui Lao
2025	J	`jnl`	Parameter-free multi-view clustering via refined tensor learning. Neurocomputing Jiaxin Yang, Qian Liu, Yuemeng Huang, Chunyan Yang, Wengeng Chen, Yu Lu, Jiale Wang, WenZhe Liu, Huibing Wang
2025	J	`jnl`	Robust Multi-View Clustering via Graph-Oriented High-Order Correlations Learning. IEEE Trans. Netw. Sci. Eng. WenZhe Liu, Jiongcheng Zhu, Huibing Wang, Yong Zhang
2025	J	`jnl`	Tensor Completion Framework by Graph Refinement for Incomplete Multi-View Clustering. IEEE Trans. Multim. Huibing Wang, Yawei Chen, Mingze Yao, WenZhe Liu, Jinjia Peng, Xianping Fu
2024	J	`jnl`	A Primary task driven adaptive loss function for multi-task speech emotion recognition. Eng. Appl. Artif. Intell. Lu-Yao Liu, WenZhe Liu, Lin Feng
2024	J	`jnl`	A novel transformer autoencoder for multi-modal emotion recognition with incomplete data. Neural Networks Cheng Cheng, WenZhe Liu, Zhaoxin Fan, Lin Feng, Ziyu Jia
2024	J	`jnl`	Cascade transformers with dynamic attention for video question answering. Comput. Vis. Image Underst. Yimin Jiang, Tingfei Yan, Mingze Yao, Huibing Wang, WenZhe Liu
2024	—	`conf`	Community Discovery in Social Network via Dual-Technique. APWeb/WAIM (3) Chengfeng Zhang, Wenjun Fu, Guanglong Wang, Lei Shi, WenZhe Liu
2024	J	`jnl`	Dense Graph Convolutional With Joint Cross-Attention Network for Multimodal Emotion Recognition. IEEE Trans. Comput. Soc. Syst. Cheng Cheng, WenZhe Liu, Lin Feng, Ziyu Jia
2024	J	`jnl`	Double-level deep multi-view collaborative learning for image clustering. J. Electronic Imaging Liang Xiao, WenZhe Liu
2024	J	`jnl`	Emotion recognition using hierarchical spatial-temporal learning transformer from regional to global brain. Neural Networks Cheng Cheng, WenZhe Liu, Lin Feng, Ziyu Jia
2024	J	`jnl`	Human-Robot Collaboration Through a Multi-Scale Graph Convolution Neural Network With Temporal Attention. IEEE Robotics Autom. Lett. Zhaowei Liu, Xilang Lu, WenZhe Liu, Wen Qi, Hang Su
2024	J	`jnl`	Incomplete multi-view clustering via self-attention networks and feature reconstruction. Appl. Intell. Yong Zhang, Li Jiang, Da Liu, WenZhe Liu
2024	J	`jnl`	MSMGE-CNN: a multi-scale multi-graph embedding convolutional neural network for motor related EEG decoding. Mach. Learn. Sci. Technol. Binren Wang, Minmin Miao, Ke Zhang, WenZhe Liu, Zhenzhen Sheng, Baoguo Xu, Wenjun Hu
2024	—	`conf`	Multi-view Bipartite Graph Clustering with Collaborative Regularization. ICIC (LNAI 2) Yong Zhang, Jiongcheng Zhu, Li Jiang, Da Liu, WenZhe Liu
2023	J	`jnl`	A General Unfolding Speech Enhancement Method Motivated by Taylor's Theorem. IEEE ACM Trans. Audio Speech Lang. Process. Andong Li, Guochen Yu, Chengshi Zheng, WenZhe Liu, Xiaodong Li
2023	J	`jnl`	A High Fidelity and Low Complexity Neural Audio Coding. CoRR WenZhe Liu, Wei Xiao, Meng Wang, Shan Yang, Yupeng Shi, Yuyong Kang, Dan Su, Shidong Shang, Dong Yu
2023	J	`jnl`	Enhanced tensor multi-view clustering via dual constraints. Eng. Appl. Artif. Intell. WenZhe Liu, Luyao Liu, Yong Zhang, Lin Feng
2023	A	`conf`	Gesper: A Restoration-Enhancement Framework for General Speech Reconstruction. INTERSPEECH WenZhe Liu, Yupeng Shi, Jun Chen, Wei Rao, Shulin He, Andong Li, Yannan Wang, Zhiyong Wu
2023	J	`jnl`	Gesper: A Restoration-Enhancement Framework for General Speech Reconstruction. CoRR WenZhe Liu, Yupeng Shi, Jun Chen, Wei Rao, Shulin He, Andong Li, Yannan Wang, Zhiyong Wu
2023	Misc	`conf`	Gesper: A Unified Framework for General Speech Restoration. ICASSP Jun Chen, Yupeng Shi, WenZhe Liu, Wei Rao, Shulin He, Andong Li, Yannan Wang, Zhiyong Wu, Shidong Shang, Chengshi Zheng
2023	J	`jnl`	Multi-Domain Encoding of Spatiotemporal Dynamics in EEG for Emotion Recognition. IEEE J. Biomed. Health Informatics Cheng Cheng, Yong Zhang, Luyao Liu, WenZhe Liu, Lin Feng
2023	—	`conf`	Multi-level Knowledge Integration with Graph Convolutional Network for Cancer Molecular Subtype Classification. BIBM Sujia Huang, Shunxin Xiao, WenZhe Liu, Jielong Lu, Zhihao Wu, Shiping Wang, Jagath C. Rajapakse
2023	A	`conf`	Multi-mode Neural Speech Coding Based on Deep Generative Networks. INTERSPEECH Wei Xiao, WenZhe Liu, Meng Wang, Shan Yang, Yupeng Shi, Yuyong Kang, Dan Su, Shidong Shang, Dong Yu
2023	J	`jnl`	SDTF-Net: Static and dynamic time-frequency network for Speech Emotion Recognition. Speech Commun. Lu-Yao Liu, WenZhe Liu, Lin Feng
2023	A	`conf`	TaylorBeamixer: Learning Taylor-Inspired All-Neural Multi-Channel Speech Enhancement from Beam-Space Dictionary Perspective. INTERSPEECH Andong Li, Weixin Meng, Guochen Yu, WenZhe Liu, Xiaodong Li, Chengshi Zheng
2023	J	`jnl`	Tensorial Multi-Linear Multi-View Clustering via Schatten-p Norm. IEEE Access WenZhe Liu, Li Jiang, Da Liu, Yong Zhang
2022	—	`conf`	A 6.5-to-10GHz IEEE 802.15.4/4z-Compliant 1T3R UWB Transceiver. ISSCC 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
2022	J	`jnl`	A General Deep Learning Speech Enhancement Framework Motivated by Taylor's Theorem. CoRR Andong Li, Guochen Yu, Chengshi Zheng, WenZhe Liu, Xiaodong Li
2022	J	`jnl`	A Neural Beam Filter for Real-time Multi-channel Speech Enhancement. CoRR WenZhe Liu, Andong Li, Chengshi Zheng, Xiaodong Li
2022	J	`jnl`	A Neural Beamspace-Domain Filter for Real-Time Multi-Channel Speech Enhancement. Symmetry WenZhe Liu, Andong Li, Xiao Wang, Minmin Yuan, Yi Chen, Chengshi Zheng, Xiaodong Li
2022	J	`jnl`	A separation and interaction framework for causal multi-channel speech enhancement. Digit. Signal Process. WenZhe Liu, Andong Li, Chengshi Zheng, Xiaodong Li
2022	J	`jnl`	ATDA: Attentional temporal dynamic activation for speech emotion recognition. Knowl. Based Syst. Lu-Yao Liu, WenZhe Liu, Jian Zhou, Huiyuan Deng, Lin Feng
2022	J	`jnl`	Adaptive multi-view multiple-means clustering via subspace reconstruction. Eng. Appl. Artif. Intell. WenZhe Liu, Luyao Liu, Yong Zhang, Huibing Wang, Lin Feng
2022	Misc	`conf`	Embedding and Beamforming: All-Neural Causal Beamformer for Multichannel Speech Enhancement. ICASSP Andong Li, WenZhe Liu, Chengshi Zheng, Xiaodong Li
2022	J	`jnl`	Low-latency Monaural Speech Enhancement with Deep Filter-bank Equalizer. CoRR Chengshi Zheng, WenZhe Liu, Andong Li, Yuxuan Ke, Xiaodong Li
2022	—	`conf`	Optimizing Shoulder to Shoulder: A Coordinated Sub-Band Fusion Model for Full-Band Speech Enhancement. ISCSLP Guochen Yu, Andong Li, WenZhe Liu, Chengshi Zheng, Yutian Wang, Hui Wang
2022	J	`jnl`	Optimizing Shoulder to Shoulder: A Coordinated Sub-Band Fusion Model for Real-Time Full-Band Speech Enhancement. CoRR Guochen Yu, Andong Li, WenZhe Liu, Chengshi Zheng, Yutian Wang, Hui Wang
2022	J	`jnl`	TaylorBeamixer: Learning Taylor-Inspired All-Neural Multi-Channel Speech Enhancement from Beam-Space Dictionary Perspective. CoRR Andong Li, Guochen Yu, WenZhe Liu, Xiaodong Li, Chengshi Zheng
2022	B	`conf`	Tensorized Multi-view Clustering via Hyper-graph Regularization. IJCNN WenZhe Liu, Luyao Liu, Lin Feng, Huiyuan Deng
2021	A	`conf`	A Simultaneous Denoising and Dereverberation Framework with Target Decoupling. Interspeech Andong Li, WenZhe Liu, Xiaoxue Luo, Guochen Yu, Chengshi Zheng, Xiaodong Li
2021	J	`jnl`	A Simultaneous Denoising and Dereverberation Framework with Target Decoupling. CoRR Andong Li, WenZhe Liu, Xiaoxue Luo, Guochen Yu, Chengshi Zheng, Xiaodong Li
2021	J	`jnl`	Beyond Vanilla Convolution: Random Pixel Difference Convolution for Face Perception. IEEE Access WenZhe Liu, Zhuo Su, Li Liu
2021	J	`jnl`	Binary Neural Network for Automated Visual Surface Defect Detection. Sensors WenZhe Liu, Jiehua Zhang, Zhuo Su, Zhongzhu Zhou, Li Liu
2021	J	`jnl`	Embedding and Beamforming: All-neural Causal Beamformer for Multichannel Speech Enhancement. CoRR Andong Li, WenZhe Liu, Chengshi Zheng, Xiaodong Li
2021	Misc	`conf`	ICASSP 2021 Deep Noise Suppression Challenge: Decoupling Magnitude and Phase Optimization with a Two-Stage Deep Network. ICASSP Andong Li, WenZhe Liu, Xiaoxue Luo, Chengshi Zheng, Xiaodong Li
2021	J	`jnl`	ICASSP 2021 Deep Noise Suppression Challenge: Decoupling Magnitude and Phase Optimization with a Two-Stage Deep Network. CoRR Andong Li, WenZhe Liu, Xiaoxue Luo, Chengshi Zheng, Xiaodong Li
2021	A	`conf`	Know Your Enemy, Know Yourself: A Unified Two-Stage Framework for Speech Enhancement. Interspeech WenZhe Liu, Andong Li, Yuxuan Ke, Chengshi Zheng, Xiaodong Li
2021	J	`jnl`	Locality Relationship Constrained Multi-view Clustering Framework. CoRR Xiangzhu Meng, Wei Wei, WenZhe Liu
2021	A*	`conf`	Pixel Difference Networks for Efficient Edge Detection. ICCV Zhuo Su, WenZhe Liu, Zitong Yu, Dewen Hu, Qing Liao, Qi Tian, Matti Pietikäinen, Li Liu
2021	J	`jnl`	Pixel Difference Networks for Efficient Edge Detection. CoRR Zhuo Su, WenZhe Liu, Zitong Yu, Dewen Hu, Qing Liao, Qi Tian, Matti Pietikäinen, Li Liu
2021	J	`jnl`	Re-weighted multi-view clustering via triplex regularized non-negative matrix factorization. Neurocomputing Lin Feng, WenZhe Liu, Xiangzhu Meng, Yong Zhang
2021	J	`jnl`	Two Heads are Better Than One: A Two-Stage Complex Spectral Mapping Approach for Monaural Speech Enhancement. IEEE ACM Trans. Audio Speech Lang. Process. Andong Li, WenZhe Liu, Chengshi Zheng, Cunhang Fan, Xiaodong Li
2018	J	`jnl`	Ensemble Classification for Skewed Data Streams Based on Neural Network. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Yong Zhang, Jiaxin Yu, WenZhe Liu, Kaoru Ota
2017	J	`jnl`	Dual weighted extreme learning machine for imbalanced data stream classification. J. Intell. Fuzzy Syst. Yong Zhang, WenZhe Liu, Xuezhen Ren, Yonggong Ren
2014	J	`jnl`	Imbalanced data classification based on scaling kernel-based support vector machine. Neural Comput. Appl. Yong Zhang, Panpan Fu, WenZhe Liu, Guolong Chen
2014	B	`conf`	SVM classification for imbalanced data using conformal kernel transformation. IJCNN Yong Zhang, Panpan Fu, WenZhe Liu, Li Zou
2010	Misc	`conf`	Algorithm research of infrared target recognition. ICNC WenZhe Liu, Wensheng Wang, Yongli Ma
2010	Misc	`conf`	An effective method for abrupt scene change detection. ICNC WenZhe Liu