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08/02/2023
Digital Twin Brain: a simulation and assimilation platform for whole human brain
In this work, we present a computing platform named digital twin brain (...
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05/07/2023
Cross-Modal Retrieval for Motion and Text via MildTriple Loss
Cross-modal retrieval has become a prominent research topic in computer ...
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04/22/2023
Universal Adversarial Backdoor Attacks to Fool Vertical Federated Learning in Cloud-Edge Collaboration
Vertical federated learning (VFL) is a cloud-edge collaboration paradigm...
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03/03/2023
Exploiting Input Sanitization for Regex Denial of Service
Web services use server-side input sanitization to guard against harmful...
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11/10/2022
ClassPruning: Speed Up Image Restoration Networks by Dynamic N:M Pruning
Image restoration tasks have achieved tremendous performance improvement...
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09/23/2022
Modular Degradation Simulation and Restoration for Under-Display Camera
Under-display camera (UDC) provides an elegant solution for full-screen ...
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09/23/2022
Rethinking Performance Gains in Image Dehazing Networks
Image dehazing is an active topic in low-level vision, and many image de...
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06/25/2022
FreSCo: Frequency-Domain Scan Context for LiDAR-based Place Recognition with Translation and Rotation Invariance
Place recognition plays a crucial role in re-localization and loop closu...
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05/21/2022
Risk-Driven Design of Perception Systems
Modern autonomous systems rely on perception modules to process complex ...
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05/14/2022
Scientific Workflows in Heterogeneous Edge-Cloud Computing: A Data Placement Strategy Based on Reinforcement learning
The heterogeneous edge-cloud computing paradigm can provide an optimal s...
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05/14/2022
A Low-latency Communication Design for Brain Simulations
Brain simulation, as one of the latest advances in artificial intelligen...
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04/08/2022
Vision Transformers for Single Image Dehazing
Image dehazing is a representative low-level vision task that estimates ...
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03/15/2022
Multi-Curve Translator for Real-Time High-Resolution Image-to-Image Translation
The dominant image-to-image translation methods are based on fully convo...
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01/27/2022
Vision Checklist: Towards Testable Error Analysis of Image Models to Help System Designers Interrogate Model Capabilities
Using large pre-trained models for image recognition tasks is becoming i...
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12/30/2021
V2V-Based Task Offloading and Resource Allocation in Vehicular Edge Computing Networks
In the research and application of vehicle ad hoc networks (VANETs), it ...
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12/02/2021
DPVI: A Dynamic-Weight Particle-Based Variational Inference Framework
The recently developed Particle-based Variational Inference (ParVI) meth...
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09/21/2021
Beyond Discriminant Patterns: On the Robustness of Decision Rule Ensembles
Local decision rules are commonly understood to be more explainable, due...
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07/27/2021
StarEnhancer: Learning Real-Time and Style-Aware Image Enhancement
Image enhancement is a subjective process whose targets vary with user p...
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07/27/2021
Edge service resource allocation strategy based on intelligent prediction
Artificial intelligence is one of the important technologies for industr...
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04/13/2021
Optimal Data Placement for Data-Sharing Scientific Workflows in Heterogeneous Edge-Cloud Computing Environments
The heterogeneous edge-cloud computing paradigm can provide a more optim...
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01/08/2021
Iterative Rational Krylov Algorithms for model reduction of a class of constrained structural dynamic system with Engineering applications
This paper discusses model order reduction of large sparse second-order ...
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03/16/2020
A Novel Framework with Information Fusion and Neighborhood Enhancement for User Identity Linkage
User identity linkage across social networks is an essential problem for...
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01/15/2020
Causal Discovery from Incomplete Data: A Deep Learning Approach
As systems are getting more autonomous with the development of artificia...
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04/30/2019
Adversarial Balancing-based Representation Learning for Causal Effect Inference with Observational Data
Learning causal effects from observational data greatly benefits a varie...
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03/01/2019
Outcome-Driven Clustering of Acute Coronary Syndrome Patients using Multi-Task Neural Network with Attention
Cluster analysis aims at separating patients into phenotypically heterog...
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05/25/2018
struc2gauss: Structure Preserving Network Embedding via Gaussian Embedding
Network embedding (NE) is playing a principal role in network mining, du...
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04/11/2016