93 citations · 390 across the 47 of their papers we have counts for
15 papers · 1 filter
A plug-and-play synthetic data deep learning for undersampled magnetic resonance image reconstruction
Min Xiao, Zi Wang, Jiefeng Guo +1
Magnetic resonance imaging (MRI) plays an important role in modern medical diagnostic but suffers from prolonged scan time. Current deep learning methods for undersampled MRI recon…
UnifiedGesture: A Unified Gesture Synthesis Model for Multiple Skeletons
Sicheng Yang, Zilin Wang, Zhiyong Wu +8
The automatic co-speech gesture generation draws much attention in computer animation. Previous works designed network structures on individual datasets, which resulted in a lack o…
Transfer Learning for Bayesian Optimization on Heterogeneous Search Spaces
Zhou Fan, Xinran Han, Zi Wang
Bayesian optimization (BO) is a popular black-box function optimization method, which makes sequential decisions based on a Bayesian model, typically a Gaussian process (GP), of th…
A Reconfigurable Photonic Processor for NP-complete Problems
Xiao-Yun Xu, Tian-Yu Zhang, Zi-Wei Wang +2
NP-complete problems are widely and deeply involved in various real-life scenarios while still intractable to solve efficiently on conventional computers. It is of great practical…
First-principles demonstration of Roman surface topological multiferroicity
Ziwen Wang, Yisheng Chai, Shuai Dong
The concept of topology has been widely applied to condensed matter, going beyond the band crossover in reciprocal spaces. A recent breakthrough suggested unconventional topologica…
One for Multiple: Physics-informed Synthetic Data Boosts Generalizable Deep Learning for Fast MRI Reconstruction
Zi Wang, Xiaotong Yu, Chengyan Wang +25
Magnetic resonance imaging (MRI) is a widely used radiological modality renowned for its radiation-free, comprehensive insights into the human body, facilitating medical diagnoses.…
Towards Heterogeneous Long-tailed Learning: Benchmarking, Metrics, and Toolbox
Haohui Wang, Weijie Guan, Jianpeng Chen +2
Long-tailed data distributions pose challenges for a variety of domains like e-commerce, finance, biomedical science, and cyber security, where the performance of machine learning…
MC-SpEx: Towards Effective Speaker Extraction with Multi-Scale Interfusion and Conditional Speaker Modulation
Jun Chen, Wei Rao, Zilin Wang +5
The previous SpEx+ has yielded outstanding performance in speaker extraction and attracted much attention. However, it still encounters inadequate utilization of multi-scale inform…
Single-pixel p-graded-n junction spectrometers
Jingyi Wang, Beibei Pan, Zi Wang +8
Ultra-compact spectrometers are becoming increasingly popular for their promising applications in biomedical analysis, environmental monitoring, and food safety. In this work, we r…
Cyclic Learning: Bridging Image-level Labels and Nuclei Instance Segmentation
Yang Zhou, Yongjian Wu, Zihua Wang +5
Nuclei instance segmentation on histopathology images is of great clinical value for disease analysis. Generally, fully-supervised algorithms for this task require pixel-wise manua…
Crossover From Cooper-Pair Hopping to Single-Electron Hopping in Pb(TiO) Granular Films
Zhi-Hao He, Zi-Yan Han, Kuang-Hong Gao +2
The electrical transport properties of Pb(TiO) ( being the Pb volume fraction and ranging from 0.45 to 0.69) granular films are investigated experime…
Inter-SubNet: Speech Enhancement with Subband Interaction
Jun Chen, Wei Rao, Zilin Wang +5
Subband-based approaches process subbands in parallel through the model with shared parameters to learn the commonality of local spectrums for noise reduction. In this way, they ha…
Theory of all-coupling angulon for molecules rotating in many-body environment
Yi-Yan Liu, Yu Cui, Xiao-Zhe Zhang +3
The formation of angulon, stemming from the rotor (molecule or impurity) rotating in the quantum many-body field, adds a new member in the quasiparticle's family and has aroused in…
Gaussian Process Probes (GPP) for Uncertainty-Aware Probing
Zi Wang, Alexander Ku, Jason Baldridge +2
Understanding which concepts models can and cannot represent has been fundamental to many tasks: from effective and responsible use of models to detecting out of distribution data.…
Data and Knowledge Co-driving for Cancer Subtype Classification on Multi-Scale Histopathological Slides
Bo Yu, Hechang Chen, Yunke Zhang +5
Artificial intelligence-enabled histopathological data analysis has become a valuable assistant to the pathologist. However, existing models lack representation and inference abili…