b'Yin Yang'

research

∙ 09/14/2023

A Multi-scale Generalized Shrinkage Threshold Network for Image Blind Deblurring in Remote Sensing

Remote sensing images are essential for many earth science applications,...

0 Yujie Feng, et al. ∙

research

∙ 09/08/2023

PRISTA-Net: Deep Iterative Shrinkage Thresholding Network for Coded Diffraction Patterns Phase Retrieval

The problem of phase retrieval (PR) involves recovering an unknown image...

0 Aoxu Liu, et al. ∙

research

∙ 08/06/2023

Nest-DGIL: Nesterov-optimized Deep Geometric Incremental Learning for CS Image Reconstruction

Proximal gradient-based optimization is one of the most common strategie...

0 Xiaohong Fan, et al. ∙

research

∙ 07/03/2023

Model-Assisted Probabilistic Safe Adaptive Control With Meta-Bayesian Learning

Breaking safety constraints in control systems can lead to potential ris...

0 Shengbo Wang, et al. ∙

research

∙ 06/08/2023

Contrastive Representation Disentanglement for Clustering

Clustering continues to be a significant and challenging task. Recent st...

0 Fei Ding, et al. ∙

research

∙ 01/05/2023

A Contact Proxy Splitting Method for Lagrangian Solid-Fluid Coupling

We present a robust and efficient method for simulating Lagrangian solid...

0 Tianyi Xie, et al. ∙

research

∙ 12/08/2022

Skellam Mixture Mechanism: a Novel Approach to Federated Learning with Differential Privacy

Deep neural networks have strong capabilities of memorizing the underlyi...

0 Ergute Bao, et al. ∙

research

∙ 11/25/2022

TPA-Net: Generate A Dataset for Text to Physics-based Animation

Recent breakthroughs in Vision-Language (V L) joint research have achi...

0 Yuxing Qiu, et al. ∙

research

∙ 10/18/2022

DPIS: An Enhanced Mechanism for Differentially Private SGD with Importance Sampling

Nowadays, differential privacy (DP) has become a well-accepted standard ...

0 Jianxin Wei, et al. ∙

research

∙ 05/14/2022

A Unifying Multi-sampling-ratio CS-MRI Framework With Two-grid-cycle Correction and Geometric Prior Distillation

CS is an efficient method to accelerate the acquisition of MR images fro...

0 Xiaohong Fan, et al. ∙

research

∙ 05/04/2022

Compatible L^2 norm convergence of variable-step L1 scheme for the time-fractional MBE mobel with slope selection

The convergence of variable-step L1 scheme is studied for the time-fract...

0 Yin Yang, et al. ∙

research

∙ 01/25/2022

Affine Body Dynamics: Fast, Stable Intersection-free Simulation of Stiff Materials

Simulating stiff materials in applications where deformations are either...

0 Lei Lan, et al. ∙

research

∙ 11/15/2021

AutoGMap: Learning to Map Large-scale Sparse Graphs on Memristive Crossbars

The sparse representation of graphs has shown its great potential for ac...

0 Bo Lyu, et al. ∙

research

∙ 10/26/2021

YOLO-ReT: Towards High Accuracy Real-time Object Detection on Edge GPUs

Performance of object detection models has been growing rapidly on two m...

105 Prakhar Ganesh, et al. ∙

research

∙ 07/11/2021

Deep Geometric Distillation Network for Compressive Sensing MRI

Compressed sensing (CS) is an efficient method to reconstruct MR image f...

0 Xiaohong Fan, et al. ∙

research

∙ 06/28/2021

Training Massive Deep Neural Networks in a Smart Contract: A New Hope

Deep neural networks (DNNs) could be very useful in blockchain applicati...

0 Yin Yang, et al. ∙

research

∙ 02/07/2021

Effective and Scalable Clustering on Massive Attributed Graphs

Given a graph G where each node is associated with a set of attributes, ...

0 Renchi Yang, et al. ∙

research

∙ 02/04/2021

Active Boundary Loss for Semantic Segmentation

This paper proposes a novel active boundary loss for semantic segmentati...

34 Chi Wang, et al. ∙

research

∙ 12/13/2020

Location-aware Single Image Reflection Removal

This paper proposes a novel location-aware deep learning-based single im...

3 Zheng Dong, et al. ∙

research

∙ 12/01/2020

Multi-level Knowledge Distillation

Knowledge distillation has become an important technique for model compr...

17 Fei Ding, et al. ∙

research

∙ 11/15/2020

Performance Analysis of an Interference-Limited RIS-Aided Network

In this work, the performance of reconfigurable intelligent surface (RIS...

0 Liang Yang, et al. ∙

research

∙ 09/15/2020

Second-order Neural Network Training Using Complex-step Directional Derivative

While the superior performance of second-order optimization methods such...

0 Siyuan Shen, et al. ∙

research

∙ 07/27/2020

Outage Probability and Capacity Scaling Law of Multiple RIS-Aided Cooperative Networks

In this letter, we consider a dual-hop cooperative network assisted by m...

0 Liang Yang, et al. ∙

research

∙ 07/15/2020

LinSBFT: Linear-Communication One-Step BFT Protocol for Public Blockchains

This paper presents LinSBFT, a Byzantine Fault Tolerance (BFT) protocol ...

0 Xiaodong Qi, et al. ∙

research

∙ 06/26/2020

Online 3D Bin Packing with Constrained Deep Reinforcement Learning

We solve a challenging yet practically useful variant of 3D Bin Packing ...

9 Hang Zhao, et al. ∙

research

∙ 06/17/2020

DCAF: A Dynamic Computation Allocation Framework for Online Serving System

Modern large-scale systems such as recommender system and online adverti...

0 Biye Jiang, et al. ∙

research

∙ 02/27/2020

Compressing Large-Scale Transformer-Based Models: A Case Study on BERT

Transformer-based models pre-trained on large-scale corpora achieve stat...

3 Prakhar Ganesh, et al. ∙

research

∙ 02/19/2020

Realtime Index-Free Single Source SimRank Processing on Web-Scale Graphs

Given a graph G and a node u in G, a single source SimRank query evaluat...

0 Jieming Shi, et al. ∙

research

∙ 09/27/2019

DBRec: Dual-Bridging Recommendation via Discovering Latent Groups

In recommender systems, the user-item interaction data is usually sparse...

20 Jingwei Ma, et al. ∙

research

∙ 08/28/2019

Efficient Algorithms for Approximate Single-Source Personalized PageRank Queries

Given a graph G, a source node s and a target node t, the personalized P...

0 Sibo Wang, et al. ∙

research

∙ 07/01/2019

Computational Design of Skinned Quad-Robots

We present a computational design system that assists users to model, op...

0 Xudong Feng, et al. ∙

research

∙ 06/28/2019

Collecting and Analyzing Multidimensional Data with Local Differential Privacy

Local differential privacy (LDP) is a recently proposed privacy standard...

0 Ning Wang, et al. ∙

research

∙ 06/17/2019

Homogeneous Network Embedding for Massive Graphs via Personalized PageRank

Given an input graph G and a node v in G, homogeneous network embedding ...

0 Renchi Yang, et al. ∙

research

∙ 07/05/2018

LinBFT: Linear-Communication Byzantine Fault Tolerance for Public Blockchains

This paper presents LinBFT, a novel Byzantine fault tolerance (BFT) prot...

0 Yin Yang, et al. ∙

research

∙ 03/30/2018

H-CNN: Spatial Hashing Based CNN for 3D Shape Analysis

We present a novel spatial hashing based data structure to facilitate 3D...

0 Tianjia Shao, et al. ∙

research

∙ 03/24/2018

DeepWarp: DNN-based Nonlinear Deformation

DeepWarp is an efficient and highly re-usable deep neural network (DNN) ...

0 Ran Luo, et al. ∙

research

∙ 05/19/2016

Development of a 3D tongue motion visualization platform based on ultrasound image sequences

This article describes the development of a platform designed to visuali...

0 Kele Xu, et al. ∙

research

∙ 05/19/2016

Contour-based 3d tongue motion visualization using ultrasound image sequences

This article describes a contour-based 3D tongue deformation visualizati...

0 Kele Xu, et al. ∙

research

∙ 02/13/2016

Convex Optimization for Linear Query Processing under Approximate Differential Privacy

Differential privacy enables organizations to collect accurate aggregate...

0 Ganzhao Yuan, et al. ∙

Yin Yang

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