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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...
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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...
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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...
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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 ...
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05/18/2023
Catch-Up Distillation: You Only Need to Train Once for Accelerating Sampling
Diffusion Probability Models (DPMs) have made impressive advancements in...
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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...
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02/23/2023
A Dynamic-Neighbor Particle Swarm Optimizer for Accurate Latent Factor Analysis
High-Dimensional and Incomplete matrices, which usually contain a large ...
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11/21/2022
Unsupervised Domain Adaptation via Deep Hierarchical Optimal Transport
Unsupervised domain adaptation is a challenging task that aims to estima...
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09/13/2022
Towards Efficient Architecture and Algorithms for Sensor Fusion
The safety of an automated vehicle hinges crucially upon the accuracy of...
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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...
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06/20/2022
Two-Dimensional Weisfeiler-Lehman Graph Neural Networks for Link Prediction
Link prediction is one important application of graph neural networks (G...
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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)...
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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...
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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...
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02/22/2022
Enabling Efficient Deep Convolutional Neural Network-based Sensor Fusion for Autonomous Driving
Autonomous driving demands accurate perception and safe decision-making....
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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...
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01/25/2022
RFMask: A Simple Baseline for Human Silhouette Segmentation with Radio Signals
Human silhouette segmentation, which is originally defined in computer v...
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12/16/2021
Radio-Assisted Human Detection
In this paper, we propose a radio-assisted human detection framework by ...
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12/07/2021
RFGAN: RF-Based Human Synthesis
This paper demonstrates human synthesis based on the Radio Frequency (RF...
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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...
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11/20/2021
Unsupervised Domain Adaptation for Device-free Gesture Recognition
Device free human gesture recognition with Radio Frequency signals has a...
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11/11/2021
Towards Domain-Independent and Real-Time Gesture Recognition Using mmWave Signal
Human gesture recognition using millimeter wave (mmWave) signals provide...
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10/26/2021
NeuroComb: Improving SAT Solving with Graph Neural Networks
Propositional satisfiability (SAT) is an NP-complete problem that impact...
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08/25/2021
Heredity-aware Child Face Image Generation with Latent Space Disentanglement
Generative adversarial networks have been widely used in image synthesis...
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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...
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06/08/2021
Graph-MLP: Node Classification without Message Passing in Graph
Graph Neural Network (GNN) has been demonstrated its effectiveness in de...
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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...
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04/21/2021
Tackling Variabilities in Autonomous Driving
The state-of-the-art driving automation system demands extreme computati...
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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...
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06/08/2020
Semantic Graph-enhanced Visual Network for Zero-shot Learning
Zero-shot learning uses semantic attributes to connect the search space ...
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05/13/2020
Multiple Attentional Pyramid Networks for Chinese Herbal Recognition
Chinese herbs play a critical role in Traditional Chinese Medicine. Due ...
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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...
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02/19/2020
Neural Architecture Search For Fault Diagnosis
Data-driven methods have made great progress in fault diagnosis, especia...
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10/16/2019
Reinforcement Learning for Robotic Manipulation using Simulated Locomotion Demonstrations
Learning robot manipulation policies through reinforcement learning (RL)...
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09/21/2019
Deep Reinforcement Learning with Modulated Hebbian plus Q Network Architecture
This paper introduces the modulated Hebbian plus Q network architecture ...
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08/14/2019
Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity
Transfer learning methods for reinforcement learning (RL) domains facili...
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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...
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04/22/2019
Inner-Imaging Convolutional Networks
Despite the tremendous success in computer vision, deep convolutional ne...
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04/22/2019
Stochastic Region Pooling: Make Attention More Expressive
Global Average Pooling (GAP) is used by default on the channel-wise atte...
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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...
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12/17/2018
Convolutional herbal prescription building method from multi-scale facial features
In Traditional Chinese Medicine (TCM), facial features are important bas...
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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...
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10/12/2018
Feature Learning for Fault Detection in High-Dimensional Condition-Monitoring Signals
Complex industrial systems are continuously monitored by a large number ...
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10/04/2018
FashionNet: Personalized Outfit Recommendation with Deep Neural Network
With the rapid growth of fashion-focused social networks and online shop...
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09/04/2018
Metabolize Neural Network
The metabolism of cells is the most basic and important part of human fu...
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07/24/2018
Competitive Inner-Imaging Squeeze and Excitation for Residual Network
Residual Network make the very deep convolutional architecture works wel...
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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 ...
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03/22/2018
Robotic Sewing and Knot Tying for Personalized Stent Graft Manufacturing
This paper presents a versatile robotic system for sewing 3D structured ...
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03/01/2018
Tongue image constitution recognition based on Complexity Perception method
Background and Object: In China, body constitution is highly related to ...
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03/01/2018