50 citations · 111 across the 9 of their papers we have counts for
9 papers
End-to-End Beam Retrieval for Multi-Hop Question Answering
Jiahao Zhang, Haiyang Zhang, Dongmei Zhang +2
Multi-hop question answering (QA) involves finding multiple relevant passages and step-by-step reasoning to answer complex questions, indicating a retrieve-and-read paradigm. Howev…
Observation of the anomalous Hall effect in a layered polar semiconductor
Seo-Jin Kim, Jihang Zhu, Mario M. Piva +10
Progress in magnetoelectric materials is hindered by apparently contradictory requirements for time-reversal symmetry broken and polar ferroelectric electronic structure in common…
Hybrid RIS-Assisted MIMO Dual-Function Radar-Communication System
Zhuoyang Liu, Haiyang Zhang, Tianyao Huang +2
Dual-function radar-communication (DFRC) technology is emerging in next-generation wireless systems. Reconfigurable intelligent surface (RIS) arrays have been suggested as a crucia…
Hardware Implementation of Task-based Quantization in Multi-user Signal Recovery
Xing Zhang, Haiyang Zhang, Nimrod Glazer +5
Quantization plays a critical role in digital signal processing systems, allowing the representation of continuous amplitude signals with a finite number of bits. However, accurate…
Near-Field Channel Estimation for Extremely Large-Scale Array Communications: A model-based deep learning approach
Xiangyu Zhang, Zening Wang, Haiyang Zhang +1
Extremely large-scale massive MIMO (XL-MIMO) has been reviewed as a promising technology for future wireless communications. The deployment of XL-MIMO, especially at high-frequency…
Physics Embedded Machine Learning for Electromagnetic Data Imaging
Rui Guo, Tianyao Huang, Maokun Li +2
Electromagnetic (EM) imaging is widely applied in sensing for security, biomedicine, geophysics, and various industries. It is an ill-posed inverse problem whose solution is usuall…
BiTAT: Neural Network Binarization with Task-dependent Aggregated Transformation
Geon Park, Jaehong Yoon, Haiyang Zhang +3
Neural network quantization aims to transform high-precision weights and activations of a given neural network into low-precision weights/activations for reduced memory usage and c…
On Data Augmentation for Extreme Multi-label Classification
Danqing Zhang, Tao Li, Haiyang Zhang +1
In this paper, we focus on data augmentation for the extreme multi-label classification (XMC) problem. One of the most challenging issues of XMC is the long tail label distribution…
Pressure Effect on Superconductivity of Iron-based Arsenic-oxide ReFeAsO0.85 (Re=Sm and Nd)
W. Yi, L. Sun, Z. Ren +10
Here we report pressure effect on superconducting transition temperature (Tc) of ReFeAsO0.85 (Re= Sm and Nd) system without fluorine doping. In-situ measurements under high pressur…