282 citations · 812 across the 27 of their papers we have counts for
27 papers
Search for Dark Photons between 16.96--19.52 eV with the HAYSTAC Experiment
Xiran Bai, A. Droster, J. Echevers +21
We report dark photon results from HAYSTAC Phase II using data from previously reported axion searches. Additionally, we present an analysis of an unpublished dataset covering a re…
Dark Matter Axion Search with HAYSTAC Phase II
HAYSTAC Collaboration, Xiran Bai, M. J. Jewell +22
This Letter reports new results from the HAYSTAC experiment's search for dark matter axions in our galactic halo. It represents the widest search to date that utilizes squeezing to…
Rydberg-atom-based single-photon detection for haloscope axion searches
Eleanor Graham, Sumita Ghosh, Yuqi Zhu +8
We propose a Rydberg-atom-based single-photon detector for signal readout in dark matter haloscope experiments between 40 eV and 200 eV (10 GHz and 50 GHz). At these frequenc…
Robustifying Measurement-Based Congestion Control Algorithms
Zhu Yuxi, Meng Zili, Shen Yixin +2
The design methodology of congestion control algorithms (CCAs) has shifted from control-based to measurement-based in recent years. However, we find that measurement-based CCAs, al…
Multipiezo effect in altermagnetic V2SeTeO monolayer
Yu Zhu, Taikang Chen, Yongchang Li +5
Inspired by recent theoretical proposal on the interesting piezomagnetism and C-paired valley polarization in V2Se2O monolayer, we predict a stable antiferromagnetic Janus monolaye…
Analysis and tuning of a three-term DMC
Yun Zhu, Kangkang Zhang, Yuncai Zhu +1
Most MPC (Model Predictive Control) algorithms used in industries and studied in the control academia use a two-term QP (quadratic programming), where the first term is the weighte…
Parameter-Efficient Fine-Tuning with Layer Pruning on Free-Text Sequence-to-Sequence Modeling
Yunqi Zhu, Xuebing Yang, Yuanyuan Wu +1
The increasing size of language models raises great research interests in parameter-efficient fine-tuning such as LoRA that freezes the pre-trained model, and injects small-scale t…
New Results from HAYSTAC's Phase II Operation with a Squeezed State Receiver
HAYSTAC Collaboration, M. J. Jewell, A. F. Leder +26
A search for dark matter axions with masses has been performed using the HAYSTAC experiment's squeezed state receiver to achieve sub-quantum limited noise. This rep…
An improved synthetic signal injection routine for the Haloscope At Yale Sensitive To Axion Cold dark matter (HAYSTAC)
Yuqi Zhu, M. J. Jewell, Claire Laffan +6
Microwave cavity haloscopes are among the most sensitive direct detection experiments searching for dark matter axions via their coupling to photons. When the power of the expected…
SKFlow: Learning Optical Flow with Super Kernels
Shangkun Sun, Yuanqi Chen, Yu Zhu +2
Optical flow estimation is a classical yet challenging task in computer vision. One of the essential factors in accurately predicting optical flow is to alleviate occlusions betwee…
Coarse-to-Fine Cascaded Networks with Smooth Predicting for Video Facial Expression Recognition
Fanglei Xue, Zichang Tan, Yu Zhu +2
Facial expression recognition plays an important role in human-computer interaction. In this paper, we propose the Coarse-to-Fine Cascaded network with Smooth Predicting (CFC-SP) t…
EIT spectroscopy of high-lying Rydberg states in
Yuqi Zhu, Sumita Ghosh, S. B. Cahn +3
We present a study of the Rydberg spectrum in for and series connected to using two-photon spectroscopy based on EIT in a heated vapor cell. W…
Hybrid MMSE Beamforming for Multiuser Millimeter Wave Communication Systems
Jiaqi Cong, Tian Lin, Yu Zhu
This letter investigates the hybrid analog and digital beamforming (HBF) design for multiuser millimeter wave (mmWave) communication systems based on the minimum mean square error…
Beamforming Design for Large-Scale Antenna Arrays Using Deep Learning
Tian Lin, Yu Zhu
Beamforming (BF) design for large-scale antenna arrays with limited radio frequency chains and the phase-shifter-based analog BF architecture, has been recognized as a key issue in…
Hybrid beamforming for single carrier mmWave MIMO systems
Tian Lin, Jiaqi Cong, Yu Zhu
Hybrid analog and digital beamforming (HBF) has been recognized as an attractive technique offering a tradeoff between hardware implementation limitation and system performance for…
Hybrid Beamforming for Millimeter Wave Systems Using the MMSE Criterion
Tian Lin, Jiaqi Cong, Yu Zhu +2
Hybrid analog and digital beamforming (HBF) has recently emerged as an attractive technique for millimeter-wave (mmWave) communication systems. It well balances the demand for suff…
Addressing the Item Cold-start Problem by Attribute-driven Active Learning
Yu Zhu, Jinhao Lin, Shibi He +4
In recommender systems, cold-start issues are situations where no previous events, e.g. ratings, are known for certain users or items. In this paper, we focus on the item cold-star…
A Brand-level Ranking System with the Customized Attention-GRU Model
Yu Zhu, Junxiong Zhu, Jie Hou +4
In e-commerce websites like Taobao, brand is playing a more important role in influencing users' decision of click/purchase, partly because users are now attaching more importance…
Elliptic operators with honeycomb symmetry: Dirac points, Edge States and Applications to Photonic Graphene
J. P. Lee-Thorp, M. I. Weinstein, Y. Zhu
Consider electromagnetic waves in two-dimensional {\it honeycomb structured media}. The properties of transverse electric (TE) polarized waves are determined by the spectral proper…
Fidelity-Naturalness Evaluation of Single Image Super Resolution
Xuan Dong, Yu Zhu, Weixin Li +3
We study the problem of evaluating super resolution methods. Traditional evaluation methods usually judge the quality of super resolved images based on a single measure of their di…
Model-Free Sure Screening via Maximum Correlation
Qiming Huang, Yu Zhu
We consider the problem of screening features in an ultrahigh-dimensional setting. Using maximum correlation, we develop a novel procedure called MC-SIS for feature screening, and…
Nonequilibrium Green's function theory for predicting device-to-device variability
Yu Zhu, Lei Liu, Hong Guo
Due to random dopant fluctuations, the device-to-device variability is a serious challenge to emerging nanoelectronics. In this work we present theoretical formalisms and numerical…
Quantum Transport Theory with the Nonequilibrium Coherent Potentials
Yu Zhu, Lei Liu, Hong Guo
Since any realistic electronic device has some degree of disorder, predicting disorder effects in quantum transport is a critical problem. Here we report the theory of nonequilibri…
Statistical calibration of qRT-PCR, microarray and RNA-Seq gene expression data with measurement error models
Zhaonan Sun, Thomas Kuczek, Yu Zhu
The accurate quantification of gene expression levels is crucial for transcriptome study. Microarray platforms are commonly used for simultaneously interrogating thousands of genes…