56 citations · 325 across the 24 of their papers we have counts for
25 papers
Efficient Multi-Channel Speech Enhancement with Spherical Harmonics Injection for Directional Encoding
Jiahui Pan, Pengjie Shen, Hui Zhang +1
Multi-channel speech enhancement extracts speech using multiple microphones that capture spatial cues. Effectively utilizing directional information is key for multi-channel enhanc…
Hierarchical Modeling of Spatial Cues via Spherical Harmonics for Multi-Channel Speech Enhancement
Jiahui Pan, Shulin He, Hui Zhang +1
Multi-channel speech enhancement utilizes spatial information from multiple microphones to extract the target speech. However, most existing methods do not explicitly model spatial…
PDPCRN: Parallel Dual-Path CRN with Bi-directional Inter-Branch Interactions for Multi-Channel Speech Enhancement
Jiahui Pan, Shulin He, Tianci Wu +2
Multi-channel speech enhancement seeks to utilize spatial information to distinguish target speech from interfering signals. While deep learning approaches like the dual-path convo…
Fast time-stepping discontinuous Galerkin method for the subdiffusion equation
Hui Zhang, Fanhai Zeng, Xiaoyun Jiang +1
The nonlocality of the fractional operator causes numerical difficulties for long time computation of the time-fractional evolution equations. This paper develops a high-order fast…
UniCATS: A Unified Context-Aware Text-to-Speech Framework with Contextual VQ-Diffusion and Vocoding
Chenpeng Du, Yiwei Guo, Feiyu Shen +6
The utilization of discrete speech tokens, divided into semantic tokens and acoustic tokens, has been proven superior to traditional acoustic feature mel-spectrograms in terms of n…
Recycling of Perovskite Substrate
Jie Wang, Yuhan Liang, Yue Wang +11
The use of water-soluble sacrificial layer of SrAlO has tremendously boosted the research on freestanding functional oxide thin films, especially thanks to its ultimate…
Searching a High-Performance Feature Extractor for Text Recognition Network
Hui Zhang, Quanming Yao, James T. Kwok +1
Feature extractor plays a critical role in text recognition (TR), but customizing its architecture is relatively less explored due to expensive manual tweaking. In this work, inspi…
CSL: A Large-scale Chinese Scientific Literature Dataset
Yudong Li, Yuqing Zhang, Zhe Zhao +4
Scientific literature serves as a high-quality corpus, supporting a lot of Natural Language Processing (NLP) research. However, existing datasets are centered around the English la…
Schwarz methods by domain truncation
Martin J. Gander, Hui Zhang
Schwarz methods use a decomposition of the computational domain into subdomains and need to put boundary conditions on the subdomain boundaries. In domain truncation one restricts…
A Unified Understanding of Deep NLP Models for Text Classification
Zhen Li, Xiting Wang, Weikai Yang +6
The rapid development of deep natural language processing (NLP) models for text classification has led to an urgent need for a unified understanding of these models proposed indivi…
3D Segmentation Guided Style-based Generative Adversarial Networks for PET Synthesis
Yang Zhou, Zhiwen Yang, Hui Zhang +3
Potential radioactive hazards in full-dose positron emission tomography (PET) imaging remain a concern, whereas the quality of low-dose images is never desirable for clinical use.…
Convergence analysis of a solver for the linear Poisson--Boltzmann model
Xuanyu Liu, Yvon Maday, Chaoyu Quan +1
This work investigates the convergence of a domain decomposition method for the Poisson-Boltzmann model that can be formulated as an interior-exterior transmission problem. To stud…
Multi-Model Least Squares-Based Recomputation Framework for Large Data Analysis
Wandong Zhang, QM Jonathan Wu, Yimin Yang +3
Most multilayer least squares (LS)-based neural networks are structured with two separate stages: unsupervised feature encoding and supervised pattern classification. Once the unsu…
EventAnchor: Reducing Human Interactions in Event Annotation of Racket Sports Videos
Dazhen Deng, Jiang Wu, Jiachen Wang +6
The popularity of racket sports (e.g., tennis and table tennis) leads to high demands for data analysis, such as notational analysis, on player performance. While sports videos off…
Sparse Sampling Kaczmarz-Motzkin Method with Linear Convergence
Ziyang Yuan, Hui Zhang, Hongxia Wang
The randomized sparse Kaczmarz method was recently proposed to recover sparse solutions of linear systems. In this work, we introduce a greedy variant of the randomized sparse Kacz…
Combining Self-Supervised and Supervised Learning with Noisy Labels
Yongqi Zhang, Hui Zhang, Quanming Yao +1
Since convolutional neural networks (CNNs) can easily overfit noisy labels, which are ubiquitous in visual classification tasks, it has been a great challenge to train CNNs against…
Robust Speaker Extraction Network Based on Iterative Refined Adaptation
Chengyun Deng, Shiqian Ma, Yi Zhang +4
Speaker extraction aims to extract target speech signal from a multi-talker environment with interference speakers and surrounding noise, given the target speaker's reference infor…
PassVizor: Toward Better Understanding of the Dynamics of Soccer Passes
Xiao Xie, Jiachen Wang, Hongye Liang +5
In soccer, passing is the most frequent interaction between players and plays a significant role in creating scoring chances. Experts are interested in analyzing players' passing b…
AutoSTR: Efficient Backbone Search for Scene Text Recognition
Hui Zhang, Quanming Yao, Mingkun Yang +2
Scene text recognition (STR) is very challenging due to the diversity of text instances and the complexity of scenes. The community has paid increasing attention to boost the perfo…
All You Need Is Boundary: Toward Arbitrary-Shaped Text Spotting
Hao Wang, Pu Lu, Hui Zhang +6
Recently, end-to-end text spotting that aims to detect and recognize text from cluttered images simultaneously has received particularly growing interest in computer vision. Differ…
Single Crystalline Silver Films for Plasmonics: From Monolayer to Optically Thick Film
Fei Cheng, Chien-Ju Lee, Junho Choi +7
Epitaxial growth of single crystalline noble metals on dielectric substrates has received tremendous attention recently due to their technological potentials as low loss plasmonic…
Robust analysis -recovery from Gaussian measurements and total variation minimization
Maryia Kabanava, Holger Rauhut, Hui Zhang
Analysis -recovery refers to a technique of recovering a signal that is sparse in some transform domain from incomplete corrupted measurements. This includes total variatio…
Proximal linearized iteratively reweighted least squares for a class of nonconvex and nonsmooth problems
Hui Zhang, Tao Sun, Lizhi Cheng
For solving a wide class of nonconvex and nonsmooth problems, we propose a proximal linearized iteratively reweighted least squares (PL-IRLS) algorithm. We first approximate the or…
One condition for solution uniqueness and robustness of both l1-synthesis and l1-analysis minimizations
Hui Zhang, Ming Yan, Wotao Yin
The -synthesis model and the -analysis model recover structured signals from their undersampled measurements. The solution of former is a sparse sum of dictionary a…