160 citations · 648 across the 34 of their papers we have counts for
37 papers
Multi-level feature fusion network combining attention mechanisms for polyp segmentation
Junzhuo Liu, Qiaosong Chen, Ye Zhang +3
Clinically, automated polyp segmentation techniques have the potential to significantly improve the efficiency and accuracy of medical diagnosis, thereby reducing the risk of color…
Soft Decomposed Policy-Critic: Bridging the Gap for Effective Continuous Control with Discrete RL
Yechen Zhang, Jian Sun, Gang Wang +2
Discrete reinforcement learning (RL) algorithms have demonstrated exceptional performance in solving sequential decision tasks with discrete action spaces, such as Atari games. How…
MSAT: Matrix stability analysis tool for shock-capturing schemes
Weijie Ren, Wenjia Xie, Ye Zhang +2
The simulation of supersonic or hypersonic flows often suffers from numerical shock instabilities if the flow field contains strong shocks, limiting the further application of shoc…
Beyond the 3rd moment: A practical study of using lensing convergence CDFs for cosmology with DES Y3
D. Anbajagane, C. Chang, A. Banerjee +95
Widefield surveys of the sky probe many clustered scalar fields -- such as galaxy counts, lensing potential, gas pressure, etc. -- that are sensitive to different cosmological and…
Numerical stability analysis of shock-capturing methods for strong shocks II: high-order finite-volume schemes
Weijie Ren, Wenjia Xie, Ye Zhang +2
The shock instability problem commonly arises in flow simulations involving strong shocks, particularly when employing high-order schemes, limiting their applications in hypersonic…
Curvature exponent and geodesic dimension on Sard-regular Carnot groups
Sebastiano Nicolussi Golo, Ye Zhang
In this paper we characterize the geodesic dimension and give a new lower bound to the curvature exponent on Sard-regular Carnot groups. As an application, we gi…
Are words equally surprising in audio and audio-visual comprehension?
Pranava Madhyastha, Ye Zhang, Gabriella Vigliocco
We report a controlled study investigating the effect of visual information (i.e., seeing the speaker) on spoken language comprehension. We compare the ERP signature (N400) associa…
Numerical stability analysis of shock-capturing methods for strong shocks I: second-order MUSCL schemes
Weijie Ren, Wenjia Xie, Ye Zhang +2
Modern shock-capturing schemes often suffer from numerical shock anomalies if the flow field contains strong shocks, which may limit their further application in hypersonic flow co…
DES Y3 + KiDS-1000: Consistent cosmology combining cosmic shear surveys
Dark Energy Survey, Kilo-Degree Survey Collaboration, : +160
We present a joint cosmic shear analysis of the Dark Energy Survey (DES Y3) and the Kilo-Degree Survey (KiDS-1000) in a collaborative effort between the two survey teams. We find c…
Non-local contribution from small scales in galaxy-galaxy lensing: Comparison of mitigation schemes
J. Prat, G. Zacharegkas, Y. Park +112
Recent cosmological analyses with large-scale structure and weak lensing measurements, usually referred to as 32pt, had to discard a lot of signal-to-noise from small scale…
A Novel Speech Feature Fusion Algorithm for Text-Independent Speaker Recognition
Biao Ma, Chengben Xu, Ye Zhang
A novel speech feature fusion algorithm with independent vector analysis (IVA) and parallel convolutional neural network (PCNN) is proposed for text-independent speaker recognition…
A new Speech Feature Fusion method with cross gate parallel CNN for Speaker Recognition
Jiacheng Zhang, Wenyi Yan, Ye Zhang
In this paper, a new speech feature fusion method is proposed for speaker recognition on the basis of the cross gate parallel convolutional neural network (CG-PCNN). The Mel filter…
Stochastic asymptotical regularization for nonlinear ill-posed problems
Haie Long, Ye Zhang
Recently, the stochastic asymptotical regularization (SAR) has been developed in (\emph{Inverse Problems}, 39: 015007, 2023) for the uncertainty quantification of the stable approx…
Asymptotic expansion regularization for inverse source problems in two-dimensional singularly perturbed nonlinear parabolic PDEs
Dmitrii Chaikovskii, Aleksei Liubavin, Ye Zhang
In this paper, we develop an asymptotic expansion-regularization (AER) method for inverse source problems in two-dimensional nonlinear and nonstationary singularly perturbed partia…
N-Grammer: Augmenting Transformers with latent n-grams
Aurko Roy, Rohan Anil, Guangda Lai +13
Transformer models have recently emerged as one of the foundational models in natural language processing, and as a byproduct, there is significant recent interest and investment i…
Dark Energy Survey Year 3 Results: Constraints on extensions to CDM with weak lensing and galaxy clustering
DES Collaboration, T. M. C. Abbott, M. Aguena +159
We constrain extensions to the CDM model using measurements from the Dark Energy Survey's first three years of observations and external data. The DES data are the two-point cor…
VLBI observations of VIK J2318-3113, a quasar at z = 6.44
Y. Zhang, T. An, A. Wang +5
The nature of jets in active galactic nuclei (AGN) in the early Universe and their feedback to the host galaxy remain a highly topical question. Observations of the radio structure…
Dark Energy Survey Year 3 results: cosmological constraints from the analysis of cosmic shear in harmonic space
C. Doux, B. Jain, D. Zeurcher +135
We present cosmological constraints from the analysis of angular power spectra of cosmic shear maps based on data from the first three years of observations by the Dark Energy Surv…
Stochastic asymptotical regularization for linear inverse problems
Ye Zhang, Chuchu Chen
We introduce Stochastic Asymptotical Regularization (SAR) methods for the uncertainty quantification of the stable approximate solution of ill-posed linear-operator equations, whic…
Effective Sequence-to-Sequence Dialogue State Tracking
Jeffrey Zhao, Mahdis Mahdieh, Ye Zhang +2
Sequence-to-sequence models have been applied to a wide variety of NLP tasks, but how to properly use them for dialogue state tracking has not been systematically investigated. In…
A unified construction of all-speed HLL-type schemes for hypersonic heating computations
Wenjia Xie, Zhengyu Tian, Ye Zhang +1
In this paper, a unified framework to develop all-speed HLL-type schemes for hypersonic heating computations is constructed. Such a unified construction method combines two effecti…
Two new non-negativity preserving iterative regularization methods for ill-posed inverse problems
Ye Zhang, Bernd Hofmann
Many inverse problems are concerned with the estimation of non-negative parameter functions. In this paper, in order to obtain non-negative stable approximate solutions to ill-pose…
Trans-Neptunian objects found in the first four years of the Dark Energy Survey
Pedro H. Bernardinelli, Gary M. Bernstein, Masao Sako +61
We present a catalog of 316 trans-Neptunian bodies detected by the Dark Energy Survey (DES). These objects include 245 discoveries by DES (139 not previously published) detected in…
Do Human Rationales Improve Machine Explanations?
Julia Strout, Ye Zhang, Raymond J. Mooney
Work on "learning with rationales" shows that humans providing explanations to a machine learning system can improve the system's predictive accuracy. However, this work has not be…