4 citations · 5 across the 6 of their papers we have counts for
8 papers
FAM-gate: field-aware metadata attention with prior-constrained vector gating for audio classification
Xiangyu Jing, Hongqing Liu, Liming Shi
User-generated audio collections frequently contain textual metadata such as titles, tags, and descriptions. Effectively leveraging these complementary fields requires accounting f…
Moduli Selection in Robust Chinese Remainder Theorem: Closed-Form Solutions and Layered Design
Wenyi Yan, Lu Gan, Hongqing Liu +1
We study the fundamental problem of \emph{moduli selection} in the Robust Chinese Remainder Theorem (RCRT), where each residue may be perturbed by a bounded error. Consider mod…
FPGA-Enabled Modulo ADC with x100 Dynamic-Range Expansion: Hardware Design and Performance Evaluation
Zeyuan Li, Wenyi Yan, Lu Gan +2
Conventional analog-to-digital converters (ADCs) fail to capture high-dynamic-range (HDR) signals due to clipping. Modulo ADCs circumvent this limitation by folding the input prior…
Difference-Based Recovery for Modulo Sampling: Tightened Bounds and Robustness Guarantees
Wenyi Yan, Zeyuan Li, Lu Gan +2
Conventional analog-to-digital converters (ADCs) clip when signals exceed their input range. Modulo (unlimited) sampling overcomes this limitation by folding the signal before digi…
Super Denoise Net: Speech Super Resolution with Noise Cancellation in Low Sampling Rate Noisy Environments
Junkang Yang, Hongqing Liu, Lu Gan +1
Speech super-resolution (SSR) aims to predict a high resolution (HR) speech signal from its low resolution (LR) corresponding part. Most neural SSR models focus on producing the fi…
Multi-Loss Convolutional Network with Time-Frequency Attention for Speech Enhancement
Liang Wan, Hongqing Liu, Yi Zhou +1
The Dual-Path Convolution Recurrent Network (DPCRN) was proposed to effectively exploit time-frequency domain information. By combining the DPRNN module with Convolution Recurrent…
mdctGAN: Taming transformer-based GAN for speech super-resolution with Modified DCT spectra
Chenhao Shuai, Chaohua Shi, Lu Gan +1
Speech super-resolution (SSR) aims to recover a high resolution (HR) speech from its corresponding low resolution (LR) counterpart. Recent SSR methods focus more on the reconstruct…
Performance and analysis of Quadratic Residue Codes of lengths less than 100
Yong Li, Qianbin Chen, Hongqing Liu +1
In this paper, the performance of quadratic residue (QR) codes of lengths within 100 is given and analyzed when the hard decoding, soft decoding, and linear programming decoding al…