b'Yi Luo'

research

∙ 05/31/2023

Graph Entropy Minimization for Semi-supervised Node Classification

Node classifiers are required to comprehensively reduce prediction error...

0 Yi Luo, et al. ∙

research

∙ 04/23/2023

Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models

Large language models (LLMs) can achieve highly effective performance on...

0 Jiashuo Sun, et al. ∙

research

∙ 04/17/2023

Fast Random Approximation of Multi-channel Room Impulse Response

Modern neural-network-based speech processing systems are typically requ...

0 Yi Luo, et al. ∙

research

∙ 03/30/2023

B-spline freeform surface tailoring for prescribed irradiance based on differentiable ray-tracing

A universal and flexible design method for freeform surface that can mod...

0 Haoqiang Wang, et al. ∙

research

∙ 11/19/2022

Unifying Label-inputted Graph Neural Networks with Deep Equilibrium Models

For node classification, Graph Neural Networks (GNN) assign predefined l...

0 Yi Luo, et al. ∙

research

∙ 10/11/2022

3D Matting: A Benchmark Study on Soft Segmentation Method for Pulmonary Nodules Applied in Computed Tomography

Usually, lesions are not isolated but are associated with the surroundin...

0 Lin Wang, et al. ∙

research

∙ 09/30/2022

Music Source Separation with Band-split RNN

The performance of music source separation (MSS) models has been greatly...

0 Yi Luo, et al. ∙

research

∙ 09/07/2022

Improving Choral Music Separation through Expressive Synthesized Data from Sampled Instruments

Choral music separation refers to the task of extracting tracks of voice...

0 Ke Chen, et al. ∙

research

∙ 08/30/2022

Virtual impactor-based label-free bio-aerosol detection using holography and deep learning

Exposure to bio-aerosols such as mold spores and pollen can lead to adve...

15 Yi Luo, et al. ∙

research

∙ 08/13/2022

Massively Parallel Universal Linear Transformations using a Wavelength-Multiplexed Diffractive Optical Network

We report deep learning-based design of a massively parallel broadband d...

0 Jingxi Li, et al. ∙

research

∙ 08/08/2022

FRA-RIR: Fast Random Approximation of the Image-source Method

The training of modern speech processing systems often requires a large ...

0 Yi Luo, et al. ∙

research

∙ 08/08/2022

All-optical image classification through unknown random diffusers using a single-pixel diffractive network

Classification of an object behind a random and unknown scattering mediu...

12 Yi Luo, et al. ∙

research

∙ 06/15/2022

On the Use of Deep Mask Estimation Module for Neural Source Separation Systems

Most of the recent neural source separation systems rely on a masking-ba...

0 Kai Li, et al. ∙

research

∙ 06/15/2022

On the Design and Training Strategies for RNN-based Online Neural Speech Separation Systems

While the performance of offline neural speech separation systems has be...

0 Kai Li, et al. ∙

research

∙ 06/15/2022

Super-resolution image display using diffractive decoders

High-resolution synthesis/projection of images over a large field-of-vie...

0 Çağatay Işıl, et al. ∙

research

∙ 05/26/2022

To image, or not to image: Class-specific diffractive cameras with all-optical erasure of undesired objects

Privacy protection is a growing concern in the digital era, with machine...

0 Bijie Bai, et al. ∙

research

∙ 05/01/2022

Analysis of Diffractive Neural Networks for Seeing Through Random Diffusers

Imaging through diffusive media is a challenging problem, where the exis...

10 Yuhang Li, et al. ∙

research

∙ 04/21/2022

An Information-theoretical Secured Byzantine-fault Tolerance Consensus in Quantum Key Distribution Network

Quantum key distribution (QKD) networks is expected to provide informati...

0 Yi Luo, et al. ∙

research

∙ 03/23/2022

Node Representation Learning in Graph via Node-to-Neighbourhood Mutual Information Maximization

The key towards learning informative node representations in graphs lies...

0 Wei Dong, et al. ∙

research

∙ 12/07/2021

A Time-domain Generalized Wiener Filter for Multi-channel Speech Separation

Frequency-domain neural beamformers are the mainstream methods for recen...

0 Yi Luo, et al. ∙

research

∙ 12/04/2021

Speech Separation Using an Asynchronous Fully Recurrent Convolutional Neural Network

Recent advances in the design of neural network architectures, in partic...

0 Xiaolin Hu, et al. ∙

research

∙ 11/02/2021

Cascadable all-optical NAND gates using diffractive networks

Owing to its potential advantages such as scalability, low latency and p...

0 Yi Luo, et al. ∙

research

∙ 06/16/2021

Distilling Self-Knowledge From Contrastive Links to Classify Graph Nodes Without Passing Messages

Nowadays, Graph Neural Networks (GNNs) following the Message Passing par...

0 Yi Luo, et al. ∙

research

∙ 03/31/2021

Dynamic imaging and characterization of volatile aerosols in e-cigarette emissions using deep learning-based holographic microscopy

Various volatile aerosols have been associated with adverse health effec...

0 Yi Luo, et al. ∙

research

∙ 02/23/2021

Dual-Path Modeling for Long Recording Speech Separation in Meetings

The continuous speech separation (CSS) is a task to separate the speech ...

0 Chenda Li, et al. ∙

research

∙ 02/10/2021

Memory-Associated Differential Learning

Conventional Supervised Learning approaches focus on the mapping from in...

0 Yi Luo, et al. ∙

research

∙ 12/17/2020

Continuous Speech Separation Using Speaker Inventory for Long Multi-talker Recording

Leveraging additional speaker information to facilitate speech separatio...

0 Cong Han, et al. ∙

research

∙ 12/14/2020

Group Communication with Context Codec for Ultra-Lightweight Source Separation

Ultra-lightweight model design is an important topic for the deployment ...

0 Yi Luo, et al. ∙

research

∙ 11/17/2020

Implicit Filter-and-sum Network for Multi-channel Speech Separation

Various neural network architectures have been proposed in recent years ...

0 Yi Luo, et al. ∙

research

∙ 11/17/2020

Rethinking the Separation Layers in Speech Separation Networks

Modules in all existing speech separation networks can be categorized in...

0 Yi Luo, et al. ∙

research

∙ 11/17/2020

Ultra-Lightweight Speech Separation via Group Communication

Model size and complexity remain the biggest challenges in the deploymen...

0 Yi Luo, et al. ∙

research

∙ 11/16/2020

Drone LAMS: A Drone-based Face Detection Dataset with Large Angles and Many Scenarios

This work presented a new drone-based face detection dataset Drone LAMS ...

0 Yi Luo, et al. ∙

research

∙ 11/03/2020

Integration of speech separation, diarization, and recognition for multi-speaker meetings: System description, comparison, and analysis

Multi-speaker speech recognition of unsegmented recordings has diverse a...

0 Desh Raj, et al. ∙

research

∙ 09/07/2020

An End-to-end Architecture of Online Multi-channel Speech Separation

Multi-speaker speech recognition has been one of the keychallenges in co...

0 Jian Wu, et al. ∙

research

∙ 07/01/2020

Deep learning-based holographic polarization microscopy

Polarized light microscopy provides high contrast to birefringent specim...

10 Tairan Liu, et al. ∙

research

∙ 06/30/2020

Terahertz Pulse Shaping Using Diffractive Legos

Recent advances in deep learning have been providing non-intuitive solut...

0 Muhammed Veli, et al. ∙

research

∙ 05/15/2020

Machine Vision using Diffractive Spectral Encoding

Machine vision systems mostly rely on lens-based optical imaging archite...

0 Jingxi Li, et al. ∙

research

∙ 03/27/2020

Separating Varying Numbers of Sources with Auxiliary Autoencoding Loss

Many recent source separation systems are designed to separate a fixed n...

0 Yi Luo, et al. ∙

research

∙ 02/16/2020

Real-time binaural speech separation with preserved spatial cues

Deep learning speech separation algorithms have achieved great success i...

0 Cong Han, et al. ∙

research

∙ 01/30/2020

Continuous speech separation: dataset and analysis

This paper describes a dataset and protocols for evaluating continuous s...

0 Zhuo Chen, et al. ∙

research

∙ 10/30/2019

End-to-end Microphone Permutation and Number Invariant Multi-channel Speech Separation

An important problem in ad-hoc microphone speech separation is how to gu...

0 Yi Luo, et al. ∙

research

∙ 10/14/2019

Dual-path RNN: efficient long sequence modeling for time-domain single-channel speech separation

Recent studies in deep learning-based speech separation have proven the ...

0 Yi Luo, et al. ∙

research

∙ 09/29/2019

FaSNet: Low-latency Adaptive Beamforming for Multi-microphone Audio Processing

Beamforming has been extensively investigated for multi-channel audio pr...

0 Yi Luo, et al. ∙

research

∙ 09/27/2019

Novel Reconciliation Protocol Based on Spinal Code for Continuous-variable Quantum Key Distribution

Reconciliation is a crucial procedure in post-processing of continuous v...

0 Xuan Wen, et al. ∙

research

∙ 09/14/2019

Design of Task-Specific Optical Systems Using Broadband Diffractive Neural Networks

We report a broadband diffractive optical neural network design that sim...

1 Yi Luo, et al. ∙

research

∙ 06/08/2019

Class-specific Differential Detection in Diffractive Optical Neural Networks Improves Inference Accuracy

Diffractive deep neural networks have been introduced earlier as an opti...

8 Jingxi Li, et al. ∙

research

∙ 03/10/2019

Dynamic Demand Prediction for Expanding Electric Vehicle Sharing Systems: A Graph Sequence Learning Approach

Electric Vehicle (EV) sharing systems have recently experienced unpreced...

0 Man Luo, et al. ∙

research

∙ 12/07/2018

Adversarial Defense of Image Classification Using a Variational Auto-Encoder

Deep neural networks are known to be vulnerable to adversarial attacks. ...

0 Yi Luo, et al. ∙

research

∙ 10/10/2018

Response to Comment on "All-optical machine learning using diffractive deep neural networks"

In their Comment, Wei et al. (arXiv:1809.08360v1 [cs.LG]) claim that our...

0 Deniz Mengu, et al. ∙

research

∙ 10/03/2018

Analysis of Diffractive Optical Neural Networks and Their Integration with Electronic Neural Networks

Optical machine learning offers advantages in terms of power efficiency,...

12 Deniz Mengu, et al. ∙

Yi Luo

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