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09/16/2023
Learning a Stable Dynamic System with a Lyapunov Energy Function for Demonstratives Using Neural Networks
Autonomous Dynamic System (DS)-based algorithms hold a pivotal and found...
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09/03/2023
Cooperative Filtering with Range Measurements: A Distributed Constrained Zonotopic Method
This article studies the distributed estimation problem of a multi-agent...
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06/20/2023
Learning Variable Impedance Skills from Demonstrations with Passivity Guarantee
Robots are increasingly being deployed not only in workplaces but also i...
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11/02/2022
Multi-level Distillation of Semantic Knowledge for Pre-training Multilingual Language Model
Pre-trained multilingual language models play an important role in cross...
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10/12/2022
Statistical Modeling of Soft Error Influence on Neural Networks
Soft errors in large VLSI circuits pose dramatic influence on computing-...
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09/22/2022
Iterative Qubits Management for Quantum Index Searching in a Hybrid System
Recent advances in quantum computing systems attract tremendous attentio...
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08/25/2022
The Sustainable Response Strategy to COVID-19: Pandemic Urban Zoning Based on Multimodal Transport Data
Since the outbreak of COVID-19, it has rapidly evolved into a sudden and...
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01/31/2022
CoTV: Cooperative Control for Traffic Light Signals and Connected Autonomous Vehicles using Deep Reinforcement Learning
The target of reducing travel time only is insufficient to support the d...
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12/22/2021
Understanding and Measuring Robustness of Multimodal Learning
The modern digital world is increasingly becoming multimodal. Although m...
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08/13/2021
Asteria: Deep Learning-based AST-Encoding for Cross-platform Binary Code Similarity Detection
Binary code similarity detection is a fundamental technique for many sec...
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07/07/2021
R2F: A Remote Retraining Framework for AIoT Processors with Computing Errors
AIoT processors fabricated with newer technology nodes suffer rising sof...
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10/24/2020
Differentiate Quality of Experience Scheduling for Deep Learning Applications with Docker Containers in the Cloud
With the prevalence of big-data-driven applications, such as face recogn...
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10/21/2020
Speculative Container Scheduling for Deep Learning Applications in a Kubernetes Cluster
In the past decade, we have witnessed a dramatically increasing volume o...
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10/20/2020
Resource Management Schemes for Cloud-Native Platforms with Computing Containers of Docker and Kubernetes
Businesses have made increasing adoption and incorporation of cloud tech...
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09/14/2020
3D Object Detection and Tracking Based on Streaming Data
Recent approaches for 3D object detection have made tremendous progresse...
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07/29/2020
Measuring the Effectiveness of Privacy Policies for Voice Assistant Applications
Voice Assistants (VA) such as Amazon Alexa and Google Assistant are quic...
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03/30/2020
Deep Learning-Based Anomaly Detection in Cyber-Physical Systems: Progress and Opportunities
Anomaly detection is crucial to ensure the security of cyber-physical sy...
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01/02/2020
Rethinking Defeasible Reasoning: A Scalable Approach
Recent technological advances have led to unprecedented amounts of gener...
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02/22/2019
Exploitation Techniques and Defenses for Data-Oriented Attacks
Data-oriented attacks manipulate non-control data to alter a program's b...
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04/30/2018