b'Chao Wang'

research

∙ 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...

0 Alessandro Finamore, et al. ∙

research

∙ 09/05/2023

DeepVol: A Deep Transfer Learning Approach for Universal Asset Volatility Modeling

This paper introduces DeepVol, a promising new deep learning volatility ...

0 Chen Liu, et al. ∙

research

∙ 08/21/2023

Communicating Robot's Intentions while Assisting Users via Augmented Reality

This paper explores the challenges faced by assistive robots in effectiv...

0 Chao Wang, et al. ∙

research

∙ 08/08/2023

Robust retrieval of material chemical states in X-ray microspectroscopy

X-ray microspectroscopic techniques are essential for studying morpholog...

0 Ting Wang, et al. ∙

research

∙ 08/08/2023

Sorted L1/L2 Minimization for Sparse Signal Recovery

This paper introduces a novel approach for recovering sparse signals usi...

0 Chao Wang, et al. ∙

research

∙ 08/08/2023

Minimizing Quotient Regularization Model

Quotient regularization models (QRMs) are a class of powerful regulariza...

0 Chao Wang, et al. ∙

research

∙ 07/17/2023

Satellite Computing: A Case Study of Cloud-Native Satellites

The on-orbit processing of massive satellite-native data relies on power...

0 Chao Wang, et al. ∙

research

∙ 07/17/2023

Systematic Testing of the Data-Poisoning Robustness of KNN

Data poisoning aims to compromise a machine learning based software comp...

0 Yannan Li, et al. ∙

research

∙ 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...

0 Yannan Li, et al. ∙

research

∙ 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...

0 Chengmin Zhou, et al. ∙

research

∙ 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...

0 Yuanshuo Cheng, et al. ∙

research

∙ 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...

0 Chao Wang, et al. ∙

research

∙ 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...

0 Ruiyu Xu, et al. ∙

research

∙ 06/13/2023

Uncovering and Exploiting Hidden APIs in Mobile Super Apps

Mobile applications, particularly those from social media platforms such...

0 Chao Wang, et al. ∙

research

∙ 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...

0 Ping Li, et al. ∙

research

∙ 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...

0 Yuqing Yang, et al. ∙

research

∙ 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...

0 Idio Guarino, et al. ∙

research

∙ 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...

0 Tianshu Yu, et al. ∙

research

∙ 05/18/2023

Preference or Intent? Double Disentangled Collaborative Filtering

People usually have different intents for choosing items, while their pr...

0 Chao Wang, et al. ∙

research

∙ 05/18/2023

Causal Document-Grounded Dialogue Pre-training

The goal of document-grounded dialogue (DocGD) is to generate a response...

3 Yingxiu Zhao, et al. ∙

research

∙ 05/18/2023

Towards an Accurate and Secure Detector against Adversarial Perturbations

The vulnerability of deep neural networks to adversarial perturbations h...

0 Chao Wang, et al. ∙

research

∙ 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...

3 Fengbin Zhu, et al. ∙

research

∙ 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...

0 Guan-Ting Lin, et al. ∙

research

∙ 03/14/2023

Understanding the Uncertainty Loop of Human-Robot Interaction

Recently the field of Human-Robot Interaction gained popularity, due to ...

0 Jan Leusmann, et al. ∙

research

∙ 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 ...

0 Xiangguo Liu, et al. ∙

research

∙ 02/16/2023

Realized recurrent conditional heteroskedasticity model for volatility modelling

We propose a new approach to volatility modelling by combining deep lear...

1 Chen Liu, et al. ∙

research

∙ 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...

0 Chao Wang, et al. ∙

research

∙ 02/02/2023

Explainable Human-Robot Training and Cooperation with Augmented Reality

The current spread of social and assistive robotics applications is incr...

0 Chao Wang, et al. ∙

research

∙ 01/18/2023

Representing Noisy Image Without Denoising

A long-standing topic in artificial intelligence is the effective recogn...

11 Shuren Qi, et al. ∙

research

∙ 12/31/2022

Generative Graph Neural Networks for Link Prediction

Inferring missing links or detecting spurious ones based on observed gra...

0 Xingping Xian, et al. ∙

research

∙ 12/11/2022

Understanding Concurrency Vulnerabilities in Linux Kernel

While there is a large body of work on analyzing concurrency related sof...

0 Zunchen Huang, et al. ∙

research

∙ 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...

0 Chao Wang, et al. ∙

research

∙ 08/06/2022

Study of detecting behavioral signatures within DeepFake videos

There is strong interest in the generation of synthetic video imagery of...

1 Qiaomu Miao, et al. ∙

research

∙ 07/25/2022

Towards Complex Document Understanding By Discrete Reasoning

Document Visual Question Answering (VQA) aims to understand visually-ric...

4 Fengbin Zhu, et al. ∙

research

∙ 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...

0 Chao Wang, et al. ∙

research

∙ 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...

12 Jingping Liu, et al. ∙

research

∙ 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...

2 Rahil Parikh, et al. ∙

research

∙ 06/14/2022

RDU: A Region-based Approach to Form-style Document Understanding

Key Information Extraction (KIE) is aimed at extracting structured infor...

5 Fengbin Zhu, et al. ∙

research

∙ 05/16/2022

Attacking and Defending Deep Reinforcement Learning Policies

Recent studies have shown that deep reinforcement learning (DRL) policie...

9 Chao Wang, et al. ∙

research

∙ 05/13/2022

Using Augmented Face Images to Improve Facial Recognition Tasks

We present a framework that uses GAN-augmented images to complement cert...

6 Shuo Cheng, et al. ∙

research

∙ 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...

0 Chao Wang, et al. ∙

research

∙ 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...

0 Tong-Xing Zheng, et al. ∙

research

∙ 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...

2 Chao Wang, et al. ∙

research

∙ 03/22/2022

Federated Self-Supervised Learning for Acoustic Event Classification

Standard acoustic event classification (AEC) solutions require large-sca...

10 Meng Feng, et al. ∙

research

∙ 03/02/2022

A Principled Design of Image Representation: Towards Forensic Tasks

Image forensics is a rising topic as the trustworthy multimedia content ...

1 Shuren Qi, et al. ∙

research

∙ 02/21/2022

Rule Mining over Knowledge Graphs via Reinforcement Learning

Knowledge graphs (KGs) are an important source repository for a wide ran...

9 Lihan Chen, et al. ∙

research

∙ 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...

0 Peiying Zhang, et al. ∙

research

∙ 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 ...

2 Chao Wang, et al. ∙

research

∙ 02/03/2022

Network Resource Allocation Strategy Based on Deep Reinforcement Learning

The traditional Internet has encountered a bottleneck in allocating netw...

0 Shidong Zhang, et al. ∙

research

∙ 02/03/2022

IoV Scenario: Implementation of a Bandwidth Aware Algorithm in Wireless Network Communication Mode

The wireless network communication mode represented by the Internet of v...

1 Peiying Zhang, et al. ∙

Chao Wang

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