b'Yang Hu'

research

∙ 09/07/2023

Beyond attention: deriving biologically interpretable insights from weakly-supervised multiple-instance learning models

Recent advances in attention-based multiple instance learning (MIL) have...

0 Willem Bonnaffé, et al. ∙

research

∙ 09/03/2023

WindMill: A Parameterized and Pluggable CGRA Implemented by DIAG Design Flow

With the cross-fertilization of applications and the ever-increasing sca...

0 Haojia Hui, et al. ∙

research

∙ 07/06/2023

Towards Efficient Control Flow Handling in Spatial Architecture via Architecting the Control Flow Plane

Spatial architecture is a high-performance architecture that uses contro...

0 Jinyi Deng, et al. ∙

research

∙ 06/20/2023

Regularized Robust MDPs and Risk-Sensitive MDPs: Equivalence, Policy Gradient, and Sample Complexity

This paper focuses on reinforcement learning for the regularized robust ...

0 Runyu Zhang, et al. ∙

research

∙ 05/18/2023

Catch-Up Distillation: You Only Need to Train Once for Accelerating Sampling

Diffusion Probability Models (DPMs) have made impressive advancements in...

0 Shitong Shao, et al. ∙

research

∙ 04/27/2023

Greybox Penetration Testing on Cloud Access Control with IAM Modeling and Deep Reinforcement Learning

Identity and Access Management (IAM) is an access control service in clo...

0 Yang Hu, et al. ∙

research

∙ 02/23/2023

A Dynamic-Neighbor Particle Swarm Optimizer for Accurate Latent Factor Analysis

High-Dimensional and Incomplete matrices, which usually contain a large ...

0 Jia Chen, et al. ∙

research

∙ 11/21/2022

Unsupervised Domain Adaptation via Deep Hierarchical Optimal Transport

Unsupervised domain adaptation is a challenging task that aims to estima...

0 Yingxue Xu, et al. ∙

research

∙ 09/13/2022

Towards Efficient Architecture and Algorithms for Sensor Fusion

The safety of an automated vehicle hinges crucially upon the accuracy of...

0 Zhendong Wang, et al. ∙

research

∙ 08/29/2022

Demystifying Arch-hints for Model Extraction: An Attack in Unified Memory System

The deep neural network (DNN) models are deemed confidential due to thei...

0 Zhendong Wang, et al. ∙

research

∙ 06/20/2022

Two-Dimensional Weisfeiler-Lehman Graph Neural Networks for Link Prediction

Link prediction is one important application of graph neural networks (G...

11 Yang Hu, et al. ∙

research

∙ 05/25/2022

NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results

This paper reviews the challenge on constrained high dynamic range (HDR)...

0 Eduardo Pérez-Pellitero, et al. ∙

research

∙ 05/09/2022

Towards a High-performance and Secure Memory System and Architecture for Emerging Applications

In this dissertation, we propose a memory and computing coordinated meth...

0 Zhendong Wang, et al. ∙

research

∙ 04/06/2022

Attention-based CNN-LSTM and XGBoost hybrid model for stock prediction

Stock market plays an important role in the economic development. Due to...

0 Zhuangwei Shi, et al. ∙

research

∙ 02/22/2022

Enabling Efficient Deep Convolutional Neural Network-based Sensor Fusion for Autonomous Driving

Autonomous driving demands accurate perception and safe decision-making....

0 Xiaoming Zeng, et al. ∙

research

∙ 02/18/2022

SapientML: Synthesizing Machine Learning Pipelines by Learning from Human-Written Solutions

Automatic machine learning, or AutoML, holds the promise of truly democr...

15 Ripon K. Saha, et al. ∙

research

∙ 01/25/2022

RFMask: A Simple Baseline for Human Silhouette Segmentation with Radio Signals

Human silhouette segmentation, which is originally defined in computer v...

3 Zhi Wu, et al. ∙

research

∙ 12/16/2021

Radio-Assisted Human Detection

In this paper, we propose a radio-assisted human detection framework by ...

4 Chengrun Qiu, et al. ∙

research

∙ 12/07/2021

RFGAN: RF-Based Human Synthesis

This paper demonstrates human synthesis based on the Radio Frequency (RF...

11 Cong Yu, et al. ∙

research

∙ 11/20/2021

Calculus of Consent via MARL: Legitimating the Collaborative Governance Supplying Public Goods

Public policies that supply public goods, especially those involve colla...

0 Yang Hu, et al. ∙

research

∙ 11/20/2021

Unsupervised Domain Adaptation for Device-free Gesture Recognition

Device free human gesture recognition with Radio Frequency signals has a...

7 Bin-Bin Zhang, et al. ∙

research

∙ 11/11/2021

Towards Domain-Independent and Real-Time Gesture Recognition Using mmWave Signal

Human gesture recognition using millimeter wave (mmWave) signals provide...

6 Yadong Li, et al. ∙

research

∙ 10/26/2021

NeuroComb: Improving SAT Solving with Graph Neural Networks

Propositional satisfiability (SAT) is an NP-complete problem that impact...

0 Wenxi Wang, et al. ∙

research

∙ 08/25/2021

Heredity-aware Child Face Image Generation with Latent Space Disentanglement

Generative adversarial networks have been widely used in image synthesis...

8 Xiao Cui, et al. ∙

research

∙ 06/11/2021

What Can Knowledge Bring to Machine Learning? – A Survey of Low-shot Learning for Structured Data

Supervised machine learning has several drawbacks that make it difficult...

0 Yang Hu, et al. ∙

research

∙ 06/08/2021

Graph-MLP: Node Classification without Message Passing in Graph

Graph Neural Network (GNN) has been demonstrated its effectiveness in de...

0 Yang Hu, et al. ∙

research

∙ 04/28/2021

Recent Advances on Non-Line-of-Sight Imaging: Conventional Physical Models, Deep Learning, and New Scenes

As an emerging technology that has attracted huge attention, non-line-of...

3 Ruixu Geng, et al. ∙

research

∙ 04/21/2021

Tackling Variabilities in Autonomous Driving

The state-of-the-art driving automation system demands extreme computati...

9 Yuqiong Qi, et al. ∙

research

∙ 02/25/2021

Q-VR: System-Level Design for Future Mobile Collaborative Virtual Reality

High Quality Mobile Virtual Reality (VR) is what the incoming graphics t...

0 Chenhao Xie, et al. ∙

research

∙ 06/08/2020

Semantic Graph-enhanced Visual Network for Zero-shot Learning

Zero-shot learning uses semantic attributes to connect the search space ...

0 Yang Hu, et al. ∙

research

∙ 05/13/2020

Multiple Attentional Pyramid Networks for Chinese Herbal Recognition

Chinese herbs play a critical role in Traditional Chinese Medicine. Due ...

8 Yingxue Xu, et al. ∙

research

∙ 03/17/2020

Co-Optimizing Performance and Memory FootprintVia Integrated CPU/GPU Memory Management, anImplementation on Autonomous Driving Platform

Cutting-edge embedded system applications, such as self-driving cars and...

0 Soroush Bateni, et al. ∙

research

∙ 02/19/2020

Neural Architecture Search For Fault Diagnosis

Data-driven methods have made great progress in fault diagnosis, especia...

0 Xudong Li, et al. ∙

research

∙ 10/16/2019

Reinforcement Learning for Robotic Manipulation using Simulated Locomotion Demonstrations

Learning robot manipulation policies through reinforcement learning (RL)...

0 Ozsel Kilinc, et al. ∙

research

∙ 09/21/2019

Deep Reinforcement Learning with Modulated Hebbian plus Q Network Architecture

This paper introduces the modulated Hebbian plus Q network architecture ...

0 Pawel Ladosz, et al. ∙

research

∙ 08/14/2019

Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity

Transfer learning methods for reinforcement learning (RL) domains facili...

4 Yang Hu, et al. ∙

research

∙ 07/19/2019

A Multi-Scale Mapping Approach Based on a Deep Learning CNN Model for Reconstructing High-Resolution Urban DEMs

The shortage of high-resolution urban digital elevation model (DEM) data...

0 Ling Jiang, et al. ∙

research

∙ 04/22/2019

Inner-Imaging Convolutional Networks

Despite the tremendous success in computer vision, deep convolutional ne...

0 Yang Hu, et al. ∙

research

∙ 04/22/2019

Stochastic Region Pooling: Make Attention More Expressive

Global Average Pooling (GAP) is used by default on the channel-wise atte...

0 Mingnan Luo, et al. ∙

research

∙ 12/23/2018

Chinese Herbal Recognition based on Competitive Attentional Fusion of Multi-hierarchies Pyramid Features

Convolution neural netwotks (CNNs) are successfully applied in image rec...

14 Yingxue Xu, et al. ∙

research

∙ 12/17/2018

Convolutional herbal prescription building method from multi-scale facial features

In Traditional Chinese Medicine (TCM), facial features are important bas...

4 Huiqiang Liao, et al. ∙

research

∙ 10/15/2018

Solution for Large-Scale Hierarchical Object Detection Datasets with Incomplete Annotation and Data Imbalance

This report demonstrates our solution for the Open Images 2018 Challenge...

0 Yuan Gao, et al. ∙

research

∙ 10/12/2018

Feature Learning for Fault Detection in High-Dimensional Condition-Monitoring Signals

Complex industrial systems are continuously monitored by a large number ...

0 Gabriel Michau, et al. ∙

research

∙ 10/04/2018

FashionNet: Personalized Outfit Recommendation with Deep Neural Network

With the rapid growth of fashion-focused social networks and online shop...

0 Tong He, et al. ∙

research

∙ 09/04/2018

Metabolize Neural Network

The metabolism of cells is the most basic and important part of human fu...

0 Dan Dai, et al. ∙

research

∙ 07/24/2018

Competitive Inner-Imaging Squeeze and Excitation for Residual Network

Residual Network make the very deep convolutional architecture works wel...

0 Yang Hu, et al. ∙

research

∙ 07/06/2018

A Fully Convolutional Two-Stream Fusion Network for Interactive Image Segmentation

In this paper, we propose a novel fully convolutional two-stream fusion ...

0 Yang Hu, et al. ∙

research

∙ 03/22/2018

Robotic Sewing and Knot Tying for Personalized Stent Graft Manufacturing

This paper presents a versatile robotic system for sewing 3D structured ...

0 Yang Hu, et al. ∙

research

∙ 03/01/2018

Tongue image constitution recognition based on Complexity Perception method

Background and Object: In China, body constitution is highly related to ...

0 Jiajiong Ma, et al. ∙

research

∙ 03/01/2018

Facial Expression Recognition Based on Complexity Perception Classification Algorithm

Facial expression recognition (FER) has always been a challenging issue ...

0 Tianyuan Chang, et al. ∙

Yang Hu

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