b'Zi Wang'

research

∙ 09/13/2023

A plug-and-play synthetic data deep learning for undersampled magnetic resonance image reconstruction

Magnetic resonance imaging (MRI) plays an important role in modern medic...

0 Min Xiao, et al. ∙

research

∙ 07/25/2023

One for Multiple: Physics-informed Synthetic Data Boosts Generalizable Deep Learning for Fast MRI Reconstruction

Magnetic resonance imaging (MRI) is a principal radiological modality th...

0 Zi Wang, et al. ∙

research

∙ 07/17/2023

HeroLT: Benchmarking Heterogeneous Long-Tailed Learning

Long-tailed data distributions are prevalent in a variety of domains, in...

0 Haohui Wang, et al. ∙

research

∙ 06/20/2023

On Evaluating Multilingual Compositional Generalization with Translated Datasets

Compositional generalization allows efficient learning and human-like in...

0 Zi Wang, et al. ∙

research

∙ 05/30/2023

Grammar Prompting for Domain-Specific Language Generation with Large Language Models

Large language models (LLMs) can learn to perform a wide range of natura...

0 Bailin Wang, et al. ∙

research

∙ 05/29/2023

Gaussian Process Probes (GPP) for Uncertainty-Aware Probing

Understanding which concepts models can and cannot represent has been fu...

0 Zi Wang, et al. ∙

research

∙ 05/25/2023

Dynamic Enhancement Network for Partial Multi-modality Person Re-identification

Many existing multi-modality studies are based on the assumption of moda...

0 Aihua Zheng, et al. ∙

research

∙ 05/25/2023

Rethink Diversity in Deep Learning Testing

Deep neural networks (DNNs) have demonstrated extraordinary capabilities...

0 Zi Wang, et al. ∙

research

∙ 05/23/2023

Flare-Aware Cross-modal Enhancement Network for Multi-spectral Vehicle Re-identification

Multi-spectral vehicle re-identification aims to address the challenge o...

0 Aihua Zheng, et al. ∙

research

∙ 04/24/2023

Interruption-Aware Cooperative Perception for V2X Communication-Aided Autonomous Driving

Cooperative perception enabled by V2X Communication technologies can sig...

0 Shunli Ren, et al. ∙

research

∙ 03/17/2023

TBP-Former: Learning Temporal Bird's-Eye-View Pyramid for Joint Perception and Prediction in Vision-Centric Autonomous Driving

Vision-centric joint perception and prediction (PnP) has become an emerg...

0 Shaoheng Fang, et al. ∙

research

∙ 02/21/2023

Oriented Object Detection in Optical Remote Sensing Images: A Survey

Oriented object detection is one of the most fundamental and challenging...

1 Kun Wang, et al. ∙

research

∙ 12/23/2022

Bridging the Domain Gap in Satellite Pose Estimation: a Self-Training Approach based on Geometrical Constraints

Recently, unsupervised domain adaptation in satellite pose estimation ha...

0 Zi Wang, et al. ∙

research

∙ 12/20/2022

HyperBO+: Pre-training a universal prior for Bayesian optimization with hierarchical Gaussian processes

Bayesian optimization (BO), while proved highly effective for many black...

0 Zhou Fan, et al. ∙

research

∙ 10/23/2022

A Faithful Deep Sensitivity Estimation for Accelerated Magnetic Resonance Imaging

Recent deep learning is superior in providing high-quality images and ul...

0 Zi Wang, et al. ∙

research

∙ 10/20/2022

Physics-informed deep diffusion MRI reconstruction: break the bottleneck of training data in artificial intelligence

In this work, we propose a Physics-Informed Deep Diffusion magnetic reso...

0 Chen Qian, et al. ∙

research

∙ 10/11/2022

Parallel Augmentation and Dual Enhancement for Occluded Person Re-identification

Occluded person re-identification (Re-ID), the task of searching for the...

0 Zi Wang, et al. ∙

research

∙ 07/07/2022

Pre-training helps Bayesian optimization too

Bayesian optimization (BO) has become a popular strategy for global opti...

17 Zi Wang, et al. ∙

research

∙ 05/26/2022

Towards Learning Universal Hyperparameter Optimizers with Transformers

Meta-learning hyperparameter optimization (HPO) algorithms from prior ex...

9 Yutian Chen, et al. ∙

research

∙ 04/14/2022

Ear Wearable (Earable) User Authentication via Acoustic Toothprint

Earables (ear wearables) is rapidly emerging as a new platform encompass...

0 Zi Wang, et al. ∙

research

∙ 03/21/2022

Physics-driven Synthetic Data Learning for Biomedical Magnetic Resonance

Deep learning has innovated the field of computational imaging. One of i...

0 Qinqin Yang, et al. ∙

research

∙ 03/15/2022

DialogueNeRF: Towards Realistic Avatar Face-to-face Conversation Video Generation

Conversation is an essential component of virtual avatar activities in t...

10 Zanwei Zhou, et al. ∙

research

∙ 03/02/2022

A Quantitative Geometric Approach to Neural Network Smoothness

Fast and precise Lipschitz constant estimation of neural networks is an ...

2 Zi Wang, et al. ∙

research

∙ 12/29/2021

Onsite Non-Line-of-Sight Imaging via Online Calibrations

There has been an increasing interest in deploying non-line-of-sight (NL...

4 Zhengqing Pan, et al. ∙

research

∙ 12/09/2021

One-dimensional Deep Low-rank and Sparse Network for Accelerated MRI

Deep learning has shown astonishing performance in accelerated magnetic ...

13 Zi Wang, et al. ∙

research

∙ 09/16/2021

Automatic prior selection for meta Bayesian optimization with a case study on tuning deep neural network optimizers

The performance of deep neural networks can be highly sensitive to the c...

9 Zi Wang, et al. ∙

research

∙ 08/11/2021

An Ear Canal Deformation Based User Authentication Using Ear Wearable Devices

Biometric-based authentication is gaining increasing attention for weara...

0 Zi Wang, et al. ∙

research

∙ 06/07/2021

Zero-Shot Knowledge Distillation from a Decision-Based Black-Box Model

Knowledge distillation (KD) is a successful approach for deep neural net...

0 Zi Wang, et al. ∙

research

∙ 06/02/2021

Acoustic-based Object Detection for Pedestrian Using Smartphone

Walking while using a smartphone is becoming a major pedestrian safety c...

0 Zi Wang, et al. ∙

research

∙ 04/10/2021

Data-Free Knowledge Distillation with Soft Targeted Transfer Set Synthesis

Knowledge distillation (KD) has proved to be an effective approach for d...

0 Zi Wang, et al. ∙

research

∙ 04/08/2021

Convolutional Neural Network Pruning with Structural Redundancy Reduction

Convolutional neural network (CNN) pruning has become one of the most su...

0 Zi Wang, et al. ∙

research

∙ 02/14/2021

Exploring Adversarial Robustness of Deep Metric Learning

Deep Metric Learning (DML), a widely-used technique, involves learning a...

11 Thomas Kobber Panum, et al. ∙

research

∙ 01/02/2021

Non-line-of-Sight Imaging via Neural Transient Fields

We present a neural modeling framework for Non-Line-of-Sight (NLOS) imag...

20 Siyuan Shen, et al. ∙

research

∙ 12/29/2020

Accelerated NMR Spectroscopy: Merge Optimization with Deep Learning

Multi-dimensional NMR spectroscopy is an invaluable biophysical tool in ...

0 Zi Wang, et al. ∙

research

∙ 08/14/2020

A Note on the Likelihood Ratio Test in High-Dimensional Exploratory Factor Analysis

The likelihood ratio test is widely used in exploratory factor analysis ...

0 Yinqiu He, et al. ∙

research

∙ 07/12/2020

Abstract Universal Approximation for Neural Networks

With growing concerns about the safety and robustness of neural networks...

9 Zi Wang, et al. ∙

research

∙ 06/08/2020

Learning compositional models of robot skills for task and motion planning

The objective of this work is to augment the basic abilities of a robot ...

0 Zi Wang, et al. ∙

research

∙ 04/29/2020

TOFU: Target-Oriented FUzzer

Program fuzzing—providing randomly constructed inputs to a computer prog...

0 Zi Wang, et al. ∙

research

∙ 04/29/2020

TOFU:Target-Orienter FUzzer

Program fuzzing-providing randomly constructed inputs to a computer prog...

0 Zi Wang, et al. ∙

research

∙ 02/07/2020

Semantic Robustness of Models of Source Code

Deep neural networks are vulnerable to adversarial examples - small inpu...

1 Goutham Ramakrishnan, et al. ∙

research

∙ 01/13/2020

Review and Prospect: Deep Learning in Nuclear Magnetic Resonance Spectroscopy

Since the concept of deep learning (DL) was formally proposed in 2006, i...

0 Dicheng Chen, et al. ∙

research

∙ 05/16/2019

Investigating Channel Pruning through Structural Redundancy Reduction - A Statistical Study

Most existing channel pruning methods formulate the pruning task from a ...

0 Chengcheng Li, et al. ∙

research

∙ 02/18/2019

Speeding up convolutional networks pruning with coarse ranking

Channel-based pruning has achieved significant successes in accelerating...

0 Zi Wang, et al. ∙

research

∙ 02/18/2019

Single-shot Channel Pruning Based on Alternating Direction Method of Multipliers

Channel pruning has been identified as an effective approach to construc...

0 Chengcheng Li, et al. ∙

research

∙ 11/23/2018

Regret bounds for meta Bayesian optimization with an unknown Gaussian process prior

Bayesian optimization usually assumes that a Bayesian prior is given. Ho...

0 Zi Wang, et al. ∙

research

∙ 10/26/2018

Learning sparse relational transition models

We present a representation for describing transition models in complex ...

0 Victoria Xia, et al. ∙

research

∙ 07/26/2018

Learning to guide task and motion planning using score-space representation

In this paper, we propose a learning algorithm that speeds up the search...

12 Beomjoon Kim, et al. ∙

research

∙ 05/05/2018

Fast-converging Conditional Generative Adversarial Networks for Image Synthesis

Building on top of the success of generative adversarial networks (GANs)...

0 Chengcheng Li, et al. ∙

research

∙ 03/02/2018

Active model learning and diverse action sampling for task and motion planning

The objective of this work is to augment the basic abilities of a robot ...

0 Zi Wang, et al. ∙

research

∙ 01/14/2018

Deep Reinforcement Learning of Cell Movement in the Early Stage of C. elegans Embryogenesis

Cell movement in the early phase of C. elegans development is regulated ...

0 Zi Wang, et al. ∙

Zi Wang

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