b'Cong Wang'

research

∙ 05/12/2023

Learning Quadruped Locomotion using Bio-Inspired Neural Networks with Intrinsic Rhythmicity

Biological studies reveal that neural circuits located at the spinal cor...

0 Chuanyu Yang, et al. ∙

research

∙ 05/04/2023

IMAP: Intrinsically Motivated Adversarial Policy

Reinforcement learning (RL) agents are known to be vulnerable to evasion...

0 Xiang Zheng, et al. ∙

research

∙ 04/09/2023

Unsupervised Multi-Criteria Adversarial Detection in Deep Image Retrieval

The vulnerability in the algorithm supply chain of deep learning has imp...

0 Yanru Xiao, et al. ∙

research

∙ 04/08/2023

SAR2EO: A High-resolution Image Translation Framework with Denoising Enhancement

Synthetic Aperture Radar (SAR) to electro-optical (EO) image translation...

0 Jun Yu, et al. ∙

research

∙ 03/24/2023

PeakNet: Bragg peak finding in X-ray crystallography experiments with U-Net

Serial crystallography at X-ray free electron laser (XFEL) sources has e...

0 Cong Wang, et al. ∙

research

∙ 03/13/2023

SelfPromer: Self-Prompt Dehazing Transformers with Depth-Consistency

This work presents an effective depth-consistency self-prompt Transforme...

0 Cong Wang, et al. ∙

research

∙ 03/11/2023

Intelligent diagnostic scheme for lung cancer screening with Raman spectra data by tensor network machine learning

Artificial intelligence (AI) has brought tremendous impacts on biomedica...

0 Yu-Jia An, et al. ∙

research

∙ 03/01/2023

Controlling Class Layout for Deep Ordinal Classification via Constrained Proxies Learning

For deep ordinal classification, learning a well-structured feature spac...

0 Cong Wang, et al. ∙

research

∙ 02/14/2023

SpeckleNN: A unified embedding for real-time speckle pattern classification in X-ray single-particle imaging with limited labeled examples

With X-ray free-electron lasers (XFELs), it is possible to determine the...

0 Cong Wang, et al. ∙

research

∙ 01/19/2023

Forecasting subcritical cylinder wakes with Fourier Neural Operators

We apply Fourier neural operators (FNOs), a state-of-the-art operator le...

33 Peter I Renn, et al. ∙

research

∙ 11/28/2022

CIM: Constrained Intrinsic Motivation for Sparse-Reward Continuous Control

Intrinsic motivation is a promising exploration technique for solving re...

0 Xiang Zheng, et al. ∙

research

∙ 11/15/2022

Feedback Chain Network For Hippocampus Segmentation

The hippocampus plays a vital role in the diagnosis and treatment of man...

0 Heyu Huang, et al. ∙

research

∙ 11/10/2022

Semantic Learning and Emulation Based Cross-platform Binary Vulnerability Seeker

Clone detection is widely exploited for software vulnerability search. T...

0 Jian Gao, et al. ∙

research

∙ 10/31/2022

Lita: Accelerating Distributed Training of Sparsely Activated Models

Scaling model parameters usually improves model quality, but at the pric...

0 Jiamin Li, et al. ∙

research

∙ 10/20/2022

Proof of Unlearning: Definitions and Instantiation

The "Right to be Forgotten" rule in machine learning (ML) practice enabl...

0 Jiasi Weng, et al. ∙

research

∙ 09/15/2022

SecSkyline: Fast Privacy-Preserving Skyline Queries over Encrypted Cloud Databases

The well-known benefits of cloud computing have spurred the popularity o...

0 Yifeng Zheng, et al. ∙

research

∙ 09/08/2022

OblivGM: Oblivious Attributed Subgraph Matching as a Cloud Service

In recent years there has been growing popularity of leveraging cloud co...

0 Songlei Wang, et al. ∙

research

∙ 07/27/2022

Convolutional Embedding Makes Hierarchical Vision Transformer Stronger

Vision Transformers (ViTs) have recently dominated a range of computer v...

0 Cong Wang, et al. ∙

research

∙ 07/17/2022

BCS-Net: Boundary, Context and Semantic for Automatic COVID-19 Lung Infection Segmentation from CT Images

The spread of COVID-19 has brought a huge disaster to the world, and the...

0 Runmin Cong, et al. ∙

research

∙ 07/16/2022

Structural Prior Guided Generative Adversarial Transformers for Low-Light Image Enhancement

We propose an effective Structural Prior guided Generative Adversarial T...

0 Cong Wang, et al. ∙

research

∙ 06/20/2022

Variational Distillation for Multi-View Learning

Information Bottleneck (IB) based multi-view learning provides an inform...

0 Xudong Tian, et al. ∙

research

∙ 05/07/2022

Towards Robust 3D Object Recognition with Dense-to-Sparse Deep Domain Adaptation

Three-dimensional (3D) object recognition is crucial for intelligent aut...

0 Prajval Kumar Murali, et al. ∙

research

∙ 04/29/2022

Energy Minimization for Federated Asynchronous Learning on Battery-Powered Mobile Devices via Application Co-running

Energy is an essential, but often forgotten aspect in large-scale federa...

0 Cong Wang, et al. ∙

research

∙ 04/16/2022

Learning to Classify Open Intent via Soft Labeling and Manifold Mixup

Open intent classification is a practical yet challenging task in dialog...

0 Zifeng Cheng, et al. ∙

research

∙ 03/14/2022

The Right to be Forgotten in Federated Learning: An Efficient Realization with Rapid Retraining

In Machine Learning, the emergence of the right to be forgotten gave bir...

5 YI LIU, et al. ∙

research

∙ 03/02/2022

Imitation and Adaptation Based on Consistency: A Quadruped Robot Imitates Animals from Videos Using Deep Reinforcement Learning

The essence of quadrupeds' movements is the movement of the center of gr...

0 Qingfeng Yao, et al. ∙

research

∙ 03/02/2022

A Transferable Legged Mobile Manipulation Framework Based on Disturbance Predictive Control

Due to their ability to adapt to different terrains, quadruped robots ha...

0 Qingfeng Yao, et al. ∙

research

∙ 02/16/2022

Aryl: An Elastic Cluster Scheduler for Deep Learning

Companies build separate training and inference GPU clusters for deep le...

0 Jiamin Li, et al. ∙

research

∙ 02/14/2022

Online-updated High-order Collaborative Networks for Single Image Deraining

Single image deraining is an important and challenging task for some dow...

0 Cong Wang, et al. ∙

research

∙ 02/04/2022

Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization

Federated learning has recently emerged as a paradigm promising the bene...

7 Yifeng Zheng, et al. ∙

research

∙ 01/23/2022

Towards Private Learning on Decentralized Graphs with Local Differential Privacy

Many real-world networks are inherently decentralized. For example, in s...

0 Wanyu Lin, et al. ∙

research

∙ 12/06/2021

On the complexity of Dark Chinese Chess

This paper provides a complexity analysis for the game of dark Chinese c...

0 Cong Wang, et al. ∙

research

∙ 12/06/2021

ED2: An Environment Dynamics Decomposition Framework for World Model Construction

Model-based reinforcement learning methods achieve significant sample ef...

0 Cong Wang, et al. ∙

research

∙ 12/03/2021

Push-sum Distributed Dual Averaging for Convex Optimization in Multi-agent Systems with Communication Delays

The distributed convex optimization problem over the multi-agent system ...

0 Cong Wang, et al. ∙

research

∙ 10/31/2021

Optimizing Secure Decision Tree Inference Outsourcing

Outsourcing decision tree inference services to the cloud is highly bene...

0 Yifeng Zheng, et al. ∙

research

∙ 10/19/2021

Black-box Adversarial Attacks on Commercial Speech Platforms with Minimal Information

Adversarial attacks against commercial black-box speech platforms, inclu...

0 Baolin Zheng, et al. ∙

research

∙ 09/29/2021

Influence of the Binomial Crossover on Performance of Evolutionary Algorithms

In differential Evolution (DE) algorithms, a crossover operation filteri...

0 Cong Wang, et al. ∙

research

∙ 09/14/2021

MotionHint: Self-Supervised Monocular Visual Odometry with Motion Constraints

We present a novel self-supervised algorithm named MotionHint for monocu...

10 Cong Wang, et al. ∙

research

∙ 08/25/2021

Fully Non-Homogeneous Atmospheric Scattering Modeling with Convolutional Neural Networks for Single Image Dehazing

In recent years, single image dehazing models (SIDM) based on atmospheri...

1 Cong Wang, et al. ∙

research

∙ 08/08/2021

TDLS: A Top-Down Layer Searching Algorithm for Generating Counterfactual Visual Explanation

Explanation of AI, as well as fairness of algorithms' decisions and the ...

0 Cong Wang, et al. ∙

research

∙ 06/23/2021

Teacher Model Fingerprinting Attacks Against Transfer Learning

Transfer learning has become a common solution to address training data ...

0 Yufei Chen, et al. ∙

research

∙ 06/15/2021

Securing Face Liveness Detection Using Unforgeable Lip Motion Patterns

Face authentication usually utilizes deep learning models to verify user...

0 Man Zhou, et al. ∙

research

∙ 06/12/2021

CARTL: Cooperative Adversarially-Robust Transfer Learning

Transfer learning eases the burden of training a well-performed model fr...

0 Dian Chen, et al. ∙

research

∙ 04/29/2021

Towards Harmonized Regional Style Transfer and Manipulation for Facial Images

Regional facial image synthesis conditioned on semantic mask has achieve...

0 Cong Wang, et al. ∙

research

∙ 04/08/2021

Can Differential Privacy Practically Protect Collaborative Deep Learning Inference for the Internet of Things?

Collaborative inference has recently emerged as an intriguing framework ...

0 Jihyeon Ryu, et al. ∙

research

∙ 03/22/2021

Mining Scientific Workflows for Anomalous Data Transfers

Modern scientific workflows are data-driven and are often executed on di...

0 Huy Tu, et al. ∙

research

∙ 01/21/2021

FWB-Net:Front White Balance Network for Color Shift Correction in Single Image Dehazing via Atmospheric Light Estimation

In recent years, single image dehazing deep models based on Atmospheric ...

0 Cong Wang, et al. ∙

research

∙ 12/19/2020

FedServing: A Federated Prediction Serving Framework Based on Incentive Mechanism

Data holders, such as mobile apps, hospitals and banks, are capable of t...

0 Jiasi Weng, et al. ∙

research

∙ 11/12/2020

Golden Grain: Building a Secure and Decentralized Model Marketplace for MLaaS

ML-as-a-service (MLaaS) becomes increasingly popular and revolutionizes ...

0 Jiasi Weng, et al. ∙

research

∙ 10/28/2020

ORBBuf: A Robust Buffering Method for Collaborative Visual SLAM

Collaborative simultaneous localization and mapping (SLAM) approaches pr...

0 Yu-Ping Wang, et al. ∙

Cong Wang

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