57 citations · 116 across the 11 of their papers we have counts for
11 papers
Photonic-Implemented Efficient Deep Quantum Neural Network via Virtual-Driven Hilbert Space Expansion
Haoran Ma, Huihui Zhu, Zichao Zhao +10
The growing computational demands of classical neural networks have intensified the search for energy-efficient and powerful computational alternatives. Quantum neural networks (QN…
Programmable time-frequency mode encoded quantum state generator for silicon-on-insulator platform
Liao Ye, Haoran Ma, Fanjie Ruan +2
We propose a method for the programmable generation of time-frequency mode (TFM) encoded quantum states of light on the silicon-on-insulator (SOI) platform. The state generator con…
Engineering biphoton spectral wavefunction in a silicon micro-ring resonator with split resonances
Liao Ye, Haoran Ma, Xiaoqing Guo +3
Frequency-time is a degree of freedom suitable for photonic high-dimensional entanglement, with advantages such as compatibility with single-mode devices and insensitivity to dispe…
Quantum Generative Adversarial Networks in a Silicon Photonic Chip with Maximum Expressibility
Haoran Ma, Liao Ye, Fanjie Ruan +4
Generative adversarial networks (GANs) have achieved remarkable success with realistic tasks such as creating realistic images, texts, and audio. Combining GANs and quantum computi…
Masked Acoustic Unit for Mispronunciation Detection and Correction
Zhan Zhang, Yuehai Wang, Jianyi Yang
Computer-Assisted Pronunciation Training (CAPT) plays an important role in language learning. Conventional ASR-based CAPT methods require expensive annotation of the ground truth p…
Accent Recognition with Hybrid Phonetic Features
Zhan Zhang, Xi Chen, Yuehai Wang +1
The performance of voice-controlled systems is usually influenced by accented speech. To make these systems more robust, the frontend accent recognition (AR) technologies have rece…
Text-Conditioned Transformer for Automatic Pronunciation Error Detection
Zhan Zhang, Yuehai Wang, Jianyi Yang
Automatic pronunciation error detection (APED) plays an important role in the domain of language learning. As for the previous ASR-based APED methods, the decoded results need to b…
Collaborative Distillation for Ultra-Resolution Universal Style Transfer
Huan Wang, Yijun Li, Yuehai Wang +2
Universal style transfer methods typically leverage rich representations from deep Convolutional Neural Network (CNN) models (e.g., VGG-19) pre-trained on large collections of imag…
Structured Pruning for Efficient ConvNets via Incremental Regularization
Huan Wang, Qiming Zhang, Yuehai Wang +1
Parameter pruning is a promising approach for CNN compression and acceleration by eliminating redundant model parameters with tolerable performance loss. Despite its effectiveness,…
Structured Pruning for Efficient ConvNets via Incremental Regularization
Huan Wang, Qiming Zhang, Yuehai Wang +2
Parameter pruning is a promising approach for CNN compression and acceleration by eliminating redundant model parameters with tolerable performance degrade. Despite its effectivene…
Structured Probabilistic Pruning for Convolutional Neural Network Acceleration
Huan Wang, Qiming Zhang, Yuehai Wang +1
In this paper, we propose a novel progressive parameter pruning method for Convolutional Neural Network acceleration, named Structured Probabilistic Pruning (SPP), which effectivel…