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09/18/2023
Contrastive Learning and Data Augmentation in Traffic Classification Using a Flowpic Input Representation
Over the last years we witnessed a renewed interest towards Traffic Clas...
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09/05/2023
DeepVol: A Deep Transfer Learning Approach for Universal Asset Volatility Modeling
This paper introduces DeepVol, a promising new deep learning volatility ...
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08/21/2023
Communicating Robot's Intentions while Assisting Users via Augmented Reality
This paper explores the challenges faced by assistive robots in effectiv...
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08/08/2023
Robust retrieval of material chemical states in X-ray microspectroscopy
X-ray microspectroscopic techniques are essential for studying morpholog...
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08/08/2023
Sorted L1/L2 Minimization for Sparse Signal Recovery
This paper introduces a novel approach for recovering sparse signals usi...
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08/08/2023
Minimizing Quotient Regularization Model
Quotient regularization models (QRMs) are a class of powerful regulariza...
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07/17/2023
Satellite Computing: A Case Study of Cloud-Native Satellites
The on-orbit processing of massive satellite-native data relies on power...
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07/17/2023
Systematic Testing of the Data-Poisoning Robustness of KNN
Data poisoning aims to compromise a machine learning based software comp...
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07/17/2023
Certifying the Fairness of KNN in the Presence of Dataset Bias
We propose a method for certifying the fairness of the classification re...
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07/16/2023
Bayesian inference for data-efficient, explainable, and safe robotic motion planning: A review
Bayesian inference has many advantages in robotic motion planning over f...
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07/15/2023
DRM-IR: Task-Adaptive Deep Unfolding Network for All-In-One Image Restoration
Existing All-In-One image restoration (IR) methods usually lack flexible...
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07/11/2023
The Staged Knowledge Distillation in Video Classification: Harmonizing Student Progress by a Complementary Weakly Supervised Framework
In the context of label-efficient learning on video data, the distillati...
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06/30/2023
Generalized Time Warping Invariant Dictionary Learning for Time Series Classification and Clustering
Dictionary learning is an effective tool for pattern recognition and cla...
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06/13/2023
Uncovering and Exploiting Hidden APIs in Mobile Super Apps
Mobile applications, particularly those from social media platforms such...
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06/13/2023
Practice with Graph-based ANN Algorithms on Sparse Data: Chi-square Two-tower model, HNSW, Sign Cauchy Projections
Sparse data are common. The traditional “handcrafted” features are often...
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06/13/2023
SoK: Decoding the Super App Enigma: The Security Mechanisms, Threats, and Trade-offs in OS-alike Apps
The super app paradigm, exemplified by platforms such as WeChat and AliP...
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05/21/2023
Many or Few Samples? Comparing Transfer, Contrastive and Meta-Learning in Encrypted Traffic Classification
The popularity of Deep Learning (DL), coupled with network traffic visib...
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05/19/2023
Speech-Text Dialog Pre-training for Spoken Dialog Understanding with Explicit Cross-Modal Alignment
Recently, speech-text pre-training methods have shown remarkable success...
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05/18/2023
Preference or Intent? Double Disentangled Collaborative Filtering
People usually have different intents for choosing items, while their pr...
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05/18/2023
Causal Document-Grounded Dialogue Pre-training
The goal of document-grounded dialogue (DocGD) is to generate a response...
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05/18/2023
Towards an Accurate and Secure Detector against Adversarial Perturbations
The vulnerability of deep neural networks to adversarial perturbations h...
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05/03/2023
Doc2SoarGraph: Discrete Reasoning over Visually-Rich Table-Text Documents with Semantic-Oriented Hierarchical Graphs
Discrete reasoning over table-text documents (e.g., financial reports) g...
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03/18/2023
Weight-sharing Supernet for Searching Specialized Acoustic Event Classification Networks Across Device Constraints
Acoustic Event Classification (AEC) has been widely used in devices such...
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03/14/2023
Understanding the Uncertainty Loop of Human-Robot Interaction
Recently the field of Human-Robot Interaction gained popularity, due to ...
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03/04/2023
Interactive Trajectory Planner for Mandatory Lane Changing in Dense Non-Cooperative Traffic
When the traffic stream is extremely congested and surrounding vehicles ...
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02/16/2023
Realized recurrent conditional heteroskedasticity model for volatility modelling
We propose a new approach to volatility modelling by combining deep lear...
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02/06/2023
Bi-level Multi-objective Evolutionary Learning: A Case Study on Multi-task Graph Neural Topology Search
The construction of machine learning models involves many bi-level multi...
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02/02/2023
Explainable Human-Robot Training and Cooperation with Augmented Reality
The current spread of social and assistive robotics applications is incr...
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01/18/2023
Representing Noisy Image Without Denoising
A long-standing topic in artificial intelligence is the effective recogn...
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12/31/2022
Generative Graph Neural Networks for Link Prediction
Inferring missing links or detecting spurious ones based on observed gra...
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12/11/2022
Understanding Concurrency Vulnerabilities in Linux Kernel
While there is a large body of work on analyzing concurrency related sof...
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10/15/2022
A User Interface for Sense-making of the Reasoning Process while Interacting with Robots
As knowledge graph has the potential to bridge the gap between commonsen...
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08/06/2022
Study of detecting behavioral signatures within DeepFake videos
There is strong interest in the generation of synthetic video imagery of...
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07/25/2022
Towards Complex Document Understanding By Discrete Reasoning
Document Visual Question Answering (VQA) aims to understand visually-ric...
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07/19/2022
Shrinking the Semantic Gap: Spatial Pooling of Local Moment Invariants for Copy-Move Forgery Detection
Copy-move forgery is a manipulation of copying and pasting specific patc...
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06/30/2022
FL-Tuning: Layer Tuning for Feed-Forward Network in Transformer
Prompt tuning is an emerging way of adapting pre-trained language models...
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06/27/2022
Impact of Acoustic Event Tagging on Scene Classification in a Multi-Task Learning Framework
Acoustic events are sounds with well-defined spectro-temporal characteri...
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06/14/2022
RDU: A Region-based Approach to Form-style Document Understanding
Key Information Extraction (KIE) is aimed at extracting structured infor...
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05/16/2022
Attacking and Defending Deep Reinforcement Learning Policies
Recent studies have shown that deep reinforcement learning (DRL) policie...
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05/13/2022
Using Augmented Face Images to Improve Facial Recognition Tasks
We present a framework that uses GAN-augmented images to complement cert...
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04/28/2022
Hybrid Eyes: Design and Evaluation of the Prediction-level Cooperative Driving with a Real-world Automated Driving System
Currently, there are still various situations in which automated driving...
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04/13/2022
Physical layer security in large-scale random multiple access wireless sensor networks: a stochastic geometry approach
This paper investigates physical layer security for a large-scale WSN wi...
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04/07/2022
A Multi-Transformation Evolutionary Framework for Influence Maximization in Social Networks
Influence maximization is a key issue for mining the deep information of...
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03/22/2022
Federated Self-Supervised Learning for Acoustic Event Classification
Standard acoustic event classification (AEC) solutions require large-sca...
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03/02/2022
A Principled Design of Image Representation: Towards Forensic Tasks
Image forensics is a rising topic as the trustworthy multimedia content ...
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02/21/2022
Rule Mining over Knowledge Graphs via Reinforcement Learning
Knowledge graphs (KGs) are an important source repository for a wide ran...
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02/08/2022
A multi-domain VNE algorithm based on multi-objective optimization for IoD architecture in Industry 4.0
Unmanned aerial vehicle (UAV) has a broad application prospect in the fu...
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02/03/2022
Multi Objective Resource Optimization of Wireless Network Based on Cross Domain Virtual Network Embedding
The rapid development of virtual network architecture makes it possible ...
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02/03/2022
Network Resource Allocation Strategy Based on Deep Reinforcement Learning
The traditional Internet has encountered a bottleneck in allocating netw...
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02/03/2022
