765 citations · 988 across the 38 of their papers we have counts for
38 papers
Improving Speaker Diarization using Semantic Information: Joint Pairwise Constraints Propagation
Luyao Cheng, Siqi Zheng, Qinglin Zhang +4
Speaker diarization has gained considerable attention within speech processing research community. Mainstream speaker diarization rely primarily on speakers' voice characteristics…
RAMP: Retrieval-Augmented MOS Prediction via Confidence-based Dynamic Weighting
Hui Wang, Shiwan Zhao, Xiguang Zheng +1
Automatic Mean Opinion Score (MOS) prediction is crucial to evaluate the perceptual quality of the synthetic speech. While recent approaches using pre-trained self-supervised learn…
Suppressing electron disorder-induced heating of ultracold neutral plasma via optical lattice
HaiBo Wang, Zonglin Yao, Fuyang Zhou +3
Disorder-induced heating (DIH) prevents ultracold neutral plasma into electron strong coupling regime. Here we propose a scheme to suppress electronic DIH via optical lattice. We s…
Model Provenance via Model DNA
Xin Mu, Yu Wang, Yehong Zhang +4
Understanding the life cycle of the machine learning (ML) model is an intriguing area of research (e.g., understanding where the model comes from, how it is trained, and how it is…
Universal quantum gates by nonadiabatic holonomic evolution for the surface electron
Jun Wang, Wan-Ting He, Hai-Bo Wang +1
The nonadiabatic holonomic quantum computation based on the geometric phase is robust against the built-in noise and decoherence. In this work, we theoretically propose a scheme to…
Practical Privacy-Preserving Gaussian Process Regression via Secret Sharing
Jinglong Luo, Yehong Zhang, Jiaqi Zhang +4
Gaussian process regression (GPR) is a non-parametric model that has been used in many real-world applications that involve sensitive personal data (e.g., healthcare, finance, etc.…
3D-Speaker: A Large-Scale Multi-Device, Multi-Distance, and Multi-Dialect Corpus for Speech Representation Disentanglement
Siqi Zheng, Luyao Cheng, Yafeng Chen +2
Disentangling uncorrelated information in speech utterances is a crucial research topic within speech community. Different speech-related tasks focus on extracting distinct speech…
Exploring Speaker-Related Information in Spoken Language Understanding for Better Speaker Diarization
Luyao Cheng, Siqi Zheng, Zhang Qinglin +3
Speaker diarization(SD) is a classic task in speech processing and is crucial in multi-party scenarios such as meetings and conversations. Current mainstream speaker diarization ap…
An Enhanced Res2Net with Local and Global Feature Fusion for Speaker Verification
Yafeng Chen, Siqi Zheng, Hui Wang +3
Effective fusion of multi-scale features is crucial for improving speaker verification performance. While most existing methods aggregate multi-scale features in a layer-wise manne…
Controlled-NOT gate based on the Rydberg states of surface electrons
Jun Wang, Wan-Ting He, Cong-Wei Lu +3
Due to the long coherence time and efficient manipulation, the surface electron (SE) provides a perfect two-dimensional platform for quantum computation and quantum simulation. In…
CAM++: A Fast and Efficient Network for Speaker Verification Using Context-Aware Masking
Hui Wang, Siqi Zheng, Yafeng Chen +2
Time delay neural network (TDNN) has been proven to be efficient for speaker verification. One of its successful variants, ECAPA-TDNN, achieved state-of-the-art performance at the…
Semantic Feature Integration network for Fine-grained Visual Classification
Hui Wang, Yueyang li, Haichi Luo
Fine-Grained Visual Classification (FGVC) is known as a challenging task due to subtle differences among subordinate categories. Many current FGVC approaches focus on identifying a…
Human Following Based on Visual Perception in the Context of Warehouse Logistics
Yanbaihui Liu, Haibo Wang, Dongming Jia
Under the background of 5G, Internet, artificial intelligence technol,ogy and robot technology, warehousing, and logistics robot technology has developed rapidly, and products have…
Sudden death of entanglement with Hamiltonian ensemble assisted by auxiliary qubits
Congwei Lu, Wanting He, Jun Wang +2
In this paper, we theoretically propose a method to simulate the longitudinal relaxation of a single qubit by coupling it to an auxiliary qubit. In order to mimic the finite-temper…
The RoyalFlush System for the WMT 2022 Efficiency Task
Bo Qin, Aixin Jia, Qiang Wang +4
This paper describes the submission of the RoyalFlush neural machine translation system for the WMT 2022 translation efficiency task. Unlike the commonly used autoregressive transl…
Effects of Disorder On Thouless Pumping In Higher-Order Topological Insulators
Congwei Lu, Zhao-Fan Cai, Haibo Wang +2
We investigate the effects of random onsite disorder on higher-order Thouless pumping of noninteracting fermionic Benalcazar-Bernevig-Hughes (BBH) model. The interplay of disorderi…
Pushing the limits of self-supervised speaker verification using regularized distillation framework
Yafeng Chen, Siqi Zheng, Hui Wang +2
Training robust speaker verification systems without speaker labels has long been a challenging task. Previous studies observed a large performance gap between self-supervised and…
Measurement of the Neutron Cross Section on Argon Between 95 and 720 MeV
S. Martynenko, B. Bhandari, J. Bian +72
We report an extended measurement of the neutron cross section on argon in the energy range of 95-720 MeV. The measurement was obtained with a 4.3-hour exposure of the Mini-CAPTAIN…
Topological quantum transition driven by charge-phonon coupling in higher-order topological insulators
Congwei Lu, Mei Zhang, Haibo Wang +2
We investigate a second-order topological quantum transition of a modified Kane-Mele model driven by electron-phonon interaction. The results show that the system parameters of the…
Feature-aware Diversified Re-ranking with Disentangled Representations for Relevant Recommendation
Zihan Lin, Hui Wang, Jingshu Mao +4
Relevant recommendation is a special recommendation scenario which provides relevant items when users express interests on one target item (e.g., click, like and purchase). Besides…
Entropy-driven Sampling and Training Scheme for Conditional Diffusion Generation
Shengming Li, Guangcong Zheng, Hui Wang +4
Denoising Diffusion Probabilistic Model (DDPM) is able to make flexible conditional image generation from prior noise to real data, by introducing an independent noise-aware classi…
Optimizing Shoulder to Shoulder: A Coordinated Sub-Band Fusion Model for Real-Time Full-Band Speech Enhancement
Guochen Yu, Andong Li, Wenzhe Liu +3
Due to the high computational complexity to model more frequency bands, it is still intractable to conduct real-time full-band speech enhancement based on deep neural networks. Rec…
DMF-Net: A decoupling-style multi-band fusion model for full-band speech enhancement
Guochen Yu, Yuansheng Guan, Weixin Meng +2
For the difficulty and large computational complexity of modeling more frequency bands, full-band speech enhancement based on deep neural networks is still challenging. Previous st…
A Deep Variational Bayesian Framework for Blind Image Deblurring
Hui Wang, Zongsheng Yue, Qian Zhao +1
Blind image deblurring is an important yet very challenging problem in low-level vision. Traditional optimization based methods generally formulate this task as a maximum-a-posteri…