b'Meng Li'

research

∙ 08/31/2023

Optical flow-based vascular respiratory motion compensation

This paper develops a new vascular respiratory motion compensation algor...

0 Keke Yang, et al. ∙

research

∙ 08/30/2023

READ: Reliability-Enhanced Accelerator Dataflow Optimization using Critical Input Pattern Reduction

With the rapid advancements of deep learning in recent years, hardware a...

0 Zuodong Zhang, et al. ∙

research

∙ 08/26/2023

Estimation and Hypothesis Testing of Derivatives in Smoothing Spline ANOVA Models

This article studies the derivatives in models that flexibly characteriz...

0 Ruiqi Liu, et al. ∙

research

∙ 08/26/2023

Memory-aware Scheduling for Complex Wired Networks with Iterative Graph Optimization

Memory-aware network scheduling is becoming increasingly important for d...

0 Shuzhang Zhong, et al. ∙

research

∙ 08/25/2023

Falcon: Accelerating Homomorphically Encrypted Convolutions for Efficient Private Mobile Network Inference

Efficient networks, e.g., MobileNetV2, EfficientNet, etc, achieves state...

0 Tianshi Xu, et al. ∙

research

∙ 07/10/2023

Stroke Extraction of Chinese Character Based on Deep Structure Deformable Image Registration

Stroke extraction of Chinese characters plays an important role in the f...

0 Meng Li, et al. ∙

research

∙ 06/08/2023

Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts

Weight-sharing supernet has become a vital component for performance est...

0 Ganesh Jawahar, et al. ∙

research

∙ 05/25/2023

Frame-Event Alignment and Fusion Network for High Frame Rate Tracking

Most existing RGB-based trackers target low frame rate benchmarks of aro...

0 Jiqing Zhang, et al. ∙

research

∙ 05/19/2023

ALT: An Automatic System for Long Tail Scenario Modeling

In this paper, we consider the problem of long tail scenario modeling wi...

0 Ya-Lin Zhang, et al. ∙

research

∙ 04/12/2023

Zero-Knowledge Proof-based Practical Federated Learning on Blockchain

Since the concern of privacy leakage extremely discourages user particip...

0 Zhibo Xing, et al. ∙

research

∙ 03/22/2023

EBSR: Enhanced Binary Neural Network for Image Super-Resolution

While the performance of deep convolutional neural networks for image su...

0 Renjie Wei, et al. ∙

research

∙ 01/14/2023

S^2Net: Accurate Panorama Depth Estimation on Spherical Surface

Monocular depth estimation is an ambiguous problem, thus global structur...

0 Meng Li, et al. ∙

research

∙ 12/20/2022

End to End Generative Meta Curriculum Learning For Medical Data Augmentation

Current medical image synthetic augmentation techniques rely on intensiv...

0 Meng Li, et al. ∙

research

∙ 12/20/2022

Conditioned Generative Transformers for Histopathology Image Synthetic Augmentation

Deep learning networks have demonstrated state-of-the-art performance on...

0 Meng Li, et al. ∙

research

∙ 12/12/2022

PathFusion: Path-consistent Lidar-Camera Deep Feature Fusion

Fusing camera with LiDAR is a promising technique to improve the accurac...

0 Lemeng Wu, et al. ∙

research

∙ 11/25/2022

MPCViT: Searching for MPC-friendly Vision Transformer with Heterogeneous Attention

Secure multi-party computation (MPC) enables computation directly on enc...

0 Wenxuan Zeng, et al. ∙

research

∙ 10/29/2022

The solution set of fuzzy relation equations with addition-min composition

This paper deals with the resolutions of fuzzy relation equations with a...

0 Meng Li, et al. ∙

research

∙ 10/20/2022

Optimal plug-in Gaussian processes for modelling derivatives

Derivatives are a key nonparametric functional in wide-ranging applicati...

0 Zejian Liu, et al. ∙

research

∙ 09/17/2022

Bayesian Image-on-Scalar Regression with a Spatial Global-Local Spike-and-Slab Prior

In this article, we propose a novel spatial global-local spike-and-slab ...

0 Zijian Zeng, et al. ∙

research

∙ 07/30/2022

Few-Shot Class-Incremental Learning from an Open-Set Perspective

The continual appearance of new objects in the visual world poses consid...

0 Can Peng, et al. ∙

research

∙ 07/28/2022

Content-oriented learned image compression

In recent years, with the development of deep neural networks, end-to-en...

0 Meng Li, et al. ∙

research

∙ 06/02/2022

DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks

Efficient deep neural network (DNN) models equipped with compact operato...

10 Yonggan Fu, et al. ∙

research

∙ 05/25/2022

BiT: Robustly Binarized Multi-distilled Transformer

Modern pre-trained transformers have rapidly advanced the state-of-the-a...

0 Zechun Liu, et al. ∙

research

∙ 04/10/2022

SplitNets: Designing Neural Architectures for Efficient Distributed Computing on Head-Mounted Systems

We design deep neural networks (DNNs) and corresponding networks' splitt...

1 Xin Dong, et al. ∙

research

∙ 01/19/2022

MHTTS: Fast multi-head text-to-speech for spontaneous speech with imperfect transcription

Neural network based end-to-end Text-to-Speech (TTS) has greatly improve...

0 Dabiao Ma, et al. ∙

research

∙ 11/21/2021

Distributed Unsupervised Visual Representation Learning with Fused Features

Federated learning (FL) enables distributed clients to learn a shared mo...

0 Yawen Wu, et al. ∙

research

∙ 11/18/2021

PyTorchVideo: A Deep Learning Library for Video Understanding

We introduce PyTorchVideo, an open-source deep-learning library that pro...

295 Haoqi Fan, et al. ∙

research

∙ 11/02/2021

Low-Rank+Sparse Tensor Compression for Neural Networks

Low-rank tensor compression has been proposed as a promising approach to...

0 Cole Hawkins, et al. ∙

research

∙ 11/01/2021

HRViT: Multi-Scale High-Resolution Vision Transformer

Vision transformers (ViTs) have attracted much attention for their super...

0 Jiaqi Gu, et al. ∙

research

∙ 10/27/2021

LSTM-RPA: A Simple but Effective Long Sequence Prediction Algorithm for Music Popularity Prediction

The big data about music history contains information about time and use...

0 Kun Li, et al. ∙

research

∙ 10/19/2021

Operator-induced structural variable selection for identifying materials genes

In the emerging field of materials informatics, a fundamental task is to...

0 Shengbin Ye, et al. ∙

research

∙ 10/15/2021

Omni-sparsity DNN: Fast Sparsity Optimization for On-Device Streaming E2E ASR via Supernet

From wearables to powerful smart devices, modern automatic speech recogn...

0 Haichuan Yang, et al. ∙

research

∙ 07/09/2021

Noisy Training Improves E2E ASR for the Edge

Automatic speech recognition (ASR) has become increasingly ubiquitous on...

0 Dilin Wang, et al. ∙

research

∙ 06/13/2021

Hash Adaptive Bloom Filter

Bloom filter is a compact memory-efficient probabilistic data structure ...

0 Rongbiao Xie, et al. ∙

research

∙ 05/11/2021

Gaussian graphical models with graph constraints for magnetic moment interaction in high entropy alloys

This article is motivated by studying the interaction of magnetic moment...

0 Xinrui Liu, et al. ∙

research

∙ 05/04/2021

Unconditional energy dissipation and error estimates of the SAV Fourier spectral method for nonlinear fractional generalized wave equation

In this paper, we consider a second-order scalar auxiliary variable (SAV...

0 Nan Wang, et al. ∙

research

∙ 04/29/2021

The entire network structure of Crossmodal Transformer

Since the mapping relationship between definitized intra-interventional ...

0 Meng Li, et al. ∙

research

∙ 04/26/2021

Improve Vision Transformers Training by Suppressing Over-smoothing

Introducing the transformer structure into computer vision tasks holds t...

4 Chengyue Gong, et al. ∙

research

∙ 03/19/2021

Semiparametric Bayesian Inference for Local Extrema of Functions in the Presence of Noise

There is a wide range of applications where the local extrema of a funct...

0 Meng Li, et al. ∙

research

∙ 03/05/2021

PPA: Principal Parcellation Analysis for Brain Connectomes and Multiple Traits

Our understanding of the structure of the brain and its relationships wi...

0 Rongjie Liu, et al. ∙

research

∙ 03/02/2021

Long-Running Speech Recognizer:An End-to-End Multi-Task Learning Framework for Online ASR and VAD

When we use End-to-end automatic speech recognition (E2E-ASR) system for...

0 Meng Li, et al. ∙

research

∙ 02/16/2021

AlphaNet: Improved Training of Supernet with Alpha-Divergence

Weight-sharing neural architecture search (NAS) is an effective techniqu...

3 Dilin Wang, et al. ∙

research

∙ 01/25/2021

CPT: Efficient Deep Neural Network Training via Cyclic Precision

Low-precision deep neural network (DNN) training has gained tremendous a...

0 Yonggan Fu, et al. ∙

research

∙ 12/11/2020

Exploring wav2vec 2.0 on speaker verification and language identification

Wav2vec 2.0 is a recently proposed self-supervised framework for speech ...

0 Zhiyun Fan, et al. ∙

research

∙ 11/30/2020

ScaleNAS: One-Shot Learning of Scale-Aware Representations for Visual Recognition

Scale variance among different sizes of body parts and objects is a chal...

0 Hsin-Pai Cheng, et al. ∙

research

∙ 11/27/2020

Equivalence of Convergence Rates of Posterior Distributions and Bayes Estimators for Functions and Nonparametric Functionals

We study the posterior contraction rates of a Bayesian method with Gauss...

0 Zejian Liu, et al. ∙

research

∙ 11/23/2020

KeepAugment: A Simple Information-Preserving Data Augmentation Approach

Data augmentation (DA) is an essential technique for training state-of-t...

22 Chengyue Gong, et al. ∙

research

∙ 11/18/2020

AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling

Neural architecture search (NAS) has shown great promise designing state...

0 Dilin Wang, et al. ∙

research

∙ 11/04/2020

An efficient second-order energy stable BDF scheme for the space fractional Cahn-Hilliard equation

The space fractional Cahn-Hilliard phase-field model is more adequate an...

0 Yong-Liang Zhao, et al. ∙

research

∙ 10/28/2020

DNA: Differentiable Network-Accelerator Co-Search

Powerful yet complex deep neural networks (DNNs) have fueled a booming d...

0 Yongan Zhang, et al. ∙

Meng Li

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