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07/18/2023
Quantivine: A Visualization Approach for Large-scale Quantum Circuit Representation and Analysis
Quantum computing is a rapidly evolving field that enables exponential s...
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07/18/2023
Federated Large Language Model: A Position Paper
Large scale language models (LLM) have received significant attention an...
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06/26/2023
Federated Learning on Non-iid Data via Local and Global Distillation
Most existing federated learning algorithms are based on the vanilla Fed...
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06/20/2023
RS5M: A Large Scale Vision-Language Dataset for Remote Sensing Vision-Language Foundation Model
Pre-trained Vision-Language Foundation Models utilizing extensive image-...
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06/08/2023
Modern Data Pricing Models: Taxonomy and Comprehensive Survey
Data play an increasingly important role in smart data analytics, which ...
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05/11/2023
Scheduling Multi-Server Jobs with Sublinear Regrets via Online Learning
Nowadays, multi-server jobs, which request multiple computing devices an...
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05/08/2023
ChatUniTest: a ChatGPT-based automated unit test generation tool
Unit testing is a crucial, yet often tedious and time-consuming task. To...
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02/28/2023
FreeEagle: Detecting Complex Neural Trojans in Data-Free Cases
Trojan attack on deep neural networks, also known as backdoor attack, is...
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09/05/2022
"Is your explanation stable?": A Robustness Evaluation Framework for Feature Attribution
Understanding the decision process of neural networks is hard. One vital...
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07/01/2022
VL-CheckList: Evaluating Pre-trained Vision-Language Models with Objects, Attributes and Relations
Vision-Language Pretraining (VLP) models have recently successfully faci...
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04/09/2022
Learning to Dispatch Multi-Server Jobs in Bipartite Graphs with Unknown Service Rates
Multi-server jobs are imperative in modern cloud computing systems. A mu...
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01/10/2022
Differentiable and Scalable Generative Adversarial Models for Data Imputation
Data imputation has been extensively explored to solve the missing data ...
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12/05/2021
Online Social Welfare Maximization with Spatio-Temporal Resource Mesh for Serverless
Serverless computing is leading the way to a simplified and general purp...
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03/02/2021
An Empirical Study of the Landscape of Open Source Projects in Baidu, Alibaba, and Tencent
Open source software has drawn more and more attention from researchers,...
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12/28/2020
DPoS: Decentralized, Privacy-Preserving, and Low-Complexity Online Slicing for Multi-Tenant Networks
Network slicing is the key to enable virtualized resource sharing among ...
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12/17/2020
Towards Scalable and Privacy-Preserving Deep Neural Network via Algorithmic-Cryptographic Co-design
Deep Neural Networks (DNNs) have achieved remarkable progress in various...
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12/08/2020
Placement is not Enough: Embedding with Proactive Stream Mapping on the Heterogenous Edge
Edge computing is naturally suited to the applications generated by Inte...
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11/09/2019
Distributed Redundancy Scheduling for Microservice-based Applications at the Edge
Multi-access Edge Computing (MEC) is booming as a promising paradigm to ...
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11/06/2019
A Latent Feelings-aware RNN Model for User Churn Prediction with Behavioral Data
Predicting user churn and taking personalized measures to retain users i...
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10/17/2019
Service Wrapper: a system for converting web data into web services
Web services are widely used in many areas via callable APIs, however, d...
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09/05/2019
Learning Action-Transferable Policy with Action Embedding
Despite achieving great success on performance in various sequential dec...
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09/02/2019
Edge Intelligence: the Confluence of Edge Computing and Artificial Intelligence
Along with the deepening development in communication technologies and t...
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10/06/2018