b'Qi Li'

research

∙ 09/09/2023

Low-Quality Training Data Only? A Robust Framework for Detecting Encrypted Malicious Network Traffic

Machine learning (ML) is promising in accurately detecting malicious flo...

0 Yuqi Qing, et al. ∙

research

∙ 09/08/2023

Revealing the preference for correcting separated aberrations in joint optic-image design

The joint design of the optical system and the downstream algorithm is a...

0 Jingwen Zhou, et al. ∙

research

∙ 09/07/2023

Learning from Limited Heterogeneous Training Data: Meta-Learning for Unsupervised Zero-Day Web Attack Detection across Web Domains

Recently unsupervised machine learning based systems have been developed...

0 Peiyang Li, et al. ∙

research

∙ 09/03/2023

martFL: Enabling Utility-Driven Data Marketplace with a Robust and Verifiable Federated Learning Architecture

The development of machine learning models requires a large amount of tr...

0 Qi Li, et al. ∙

research

∙ 08/25/2023

Exploiting Diverse Feature for Multimodal Sentiment Analysis

In this paper, we present our solution to the MuSe-Personalisation sub-c...

0 Jia Li, et al. ∙

research

∙ 08/20/2023

Privileged Anatomical and Protocol Discrimination in Trackerless 3D Ultrasound Reconstruction

Three-dimensional (3D) freehand ultrasound (US) reconstruction without u...

0 Qi Li, et al. ∙

research

∙ 08/18/2023

Compensating Removed Frequency Components: Thwarting Voice Spectrum Reduction Attacks

Automatic speech recognition (ASR) provides diverse audio-to-text servic...

0 Shu Wang, et al. ∙

research

∙ 07/04/2023

Smart filter aided domain adversarial neural network: An unsupervised domain adaptation method for fault diagnosis in noisy industrial scenarios

The application of unsupervised domain adaptation (UDA)-based fault diag...

0 Baorui Dai, et al. ∙

research

∙ 06/29/2023

Prediction of COVID-19 Patients' Emergency Room Revisit using Multi-Source Transfer Learning

The coronavirus disease 2019 (COVID-19) has led to a global pandemic of ...

0 Yuelyu Ji, et al. ∙

research

∙ 06/15/2023

Relation-Aware Network with Attention-Based Loss for Few-Shot Knowledge Graph Completion

Few-shot knowledge graph completion (FKGC) task aims to predict unseen f...

0 Qiao Qiao, et al. ∙

research

∙ 05/25/2023

Beryllium: Neural Search for Algorithm Implementations

In this paper, we explore the feasibility of finding algorithm implement...

0 Adithya Kulkarni, et al. ∙

research

∙ 05/25/2023

Zero-shot Approach to Overcome Perturbation Sensitivity of Prompts

Recent studies have demonstrated that natural-language prompts can help ...

0 Mohna Chakraborty, et al. ∙

research

∙ 05/10/2023

Computational Optics for Mobile Terminals in Mass Production

Correcting the optical aberrations and the manufacturing deviations of c...

0 Shiqi Chen, et al. ∙

research

∙ 05/10/2023

Optical Aberration Correction in Postprocessing using Imaging Simulation

As the popularity of mobile photography continues to grow, considerable ...

0 Shiqi Chen, et al. ∙

research

∙ 04/02/2023

Graph Mining for Cybersecurity: A Survey

The explosive growth of cyber attacks nowadays, such as malware, spam, a...

0 Bo Yan, et al. ∙

research

∙ 03/16/2023

Reliable Image Dehazing by NeRF

We present an image dehazing algorithm with high quality, wide applicati...

0 Zheyan Jin, et al. ∙

research

∙ 02/27/2023

Aegis: Mitigating Targeted Bit-flip Attacks against Deep Neural Networks

Bit-flip attacks (BFAs) have attracted substantial attention recently, i...

0 Jialai Wang, et al. ∙

research

∙ 01/31/2023

Detecting Unknown Encrypted Malicious Traffic in Real Time via Flow Interaction Graph Analysis

In this paper, we propose HyperVision, a realtime unsupervised machine l...

0 Chuanpu Fu, et al. ∙

research

∙ 11/23/2022

Semantic-aware One-shot Face Re-enactment with Dense Correspondence Estimation

One-shot face re-enactment is a challenging task due to the identity mis...

0 Yunfan Liu, et al. ∙

research

∙ 11/15/2022

Monocular BEV Perception of Road Scenes via Front-to-Top View Projection

HD map reconstruction is crucial for autonomous driving. LiDAR-based met...

0 Wenxi Liu, et al. ∙

research

∙ 11/09/2022

Trackerless freehand ultrasound with sequence modelling and auxiliary transformation over past and future frames

Three-dimensional (3D) freehand ultrasound (US) reconstruction without a...

0 Qi Li, et al. ∙

research

∙ 10/08/2022

FedDef: Robust Federated Learning-based Network Intrusion Detection Systems Against Gradient Leakage

Deep learning methods have been widely applied to anomaly-based network ...

0 Jiahui Chen, et al. ∙

research

∙ 10/03/2022

TPGNN: Learning High-order Information in Dynamic Graphs via Temporal Propagation

Temporal graph is an abstraction for modeling dynamic systems that consi...

0 Zehong Wang, et al. ∙

research

∙ 10/01/2022

Heterogeneous Graph Contrastive Multi-view Learning

Inspired by the success of contrastive learning (CL) in computer vision ...

0 Zehong Wang, et al. ∙

research

∙ 09/27/2022

IdeaReader: A Machine Reading System for Understanding the Idea Flow of Scientific Publications

Understanding the origin and influence of the publication's idea is crit...

0 Qi Li, et al. ∙

research

∙ 09/04/2022

Disentangled Graph Contrastive Learning for Review-based Recommendation

User review data is helpful in alleviating the data sparsity problem in ...

0 Yuyang Ren, et al. ∙

research

∙ 07/31/2022

Improving Distantly Supervised Relation Extraction by Natural Language Inference

To reduce human annotations for relation extraction (RE) tasks, distantl...

0 Kang Zhou, et al. ∙

research

∙ 06/20/2022

Adaptive Domain Interest Network for Multi-domain Recommendation

Industrial recommender systems usually hold data from multiple business ...

0 Yuchen Jiang, et al. ∙

research

∙ 03/29/2022

AnyFace: Free-style Text-to-Face Synthesis and Manipulation

Existing text-to-image synthesis methods generally are only applicable t...

0 Jianxin Sun, et al. ∙

research

∙ 03/24/2022

GX-Plug: a Middleware for Plugging Accelerators to Distributed Graph Processing

Recently, research communities highlight the necessity of formulating a ...

0 Kai Zou, et al. ∙

research

∙ 03/24/2022

Learning Disentangled Representation for One-shot Progressive Face Swapping

Although face swapping has attracted much attention in recent years, it ...

5 Qi Li, et al. ∙

research

∙ 03/17/2022

A Systematic Study of Android Non-SDK (Hidden) Service API Security

Android allows apps to communicate with its system services via system s...

0 Yi He, et al. ∙

research

∙ 03/04/2022

Voice-Face Homogeneity Tells Deepfake

Detecting forgery videos is highly desirable due to the abuse of deepfak...

0 Harry Cheng, et al. ∙

research

∙ 03/04/2022

Quantum Deep Learning for Mutant COVID-19 Strain Prediction

New COVID-19 epidemic strains like Delta and Omicron with increased tran...

0 Yu-Xin Jin, et al. ∙

research

∙ 03/04/2022

Towards Benchmarking and Evaluating Deepfake Detection

Deepfake detection automatically recognizes the manipulated medias throu...

0 Chenhao Lin, et al. ∙

research

∙ 02/14/2022

Approximate Nearest Neighbor Search under Neural Similarity Metric for Large-Scale Recommendation

Model-based methods for recommender systems have been studied extensivel...

0 Rihan Chen, et al. ∙

research

∙ 02/08/2022

MOST-Net: A Memory Oriented Style Transfer Network for Face Sketch Synthesis

Face sketch synthesis has been widely used in multi-media entertainment ...

0 Fan Ji, et al. ∙

research

∙ 01/19/2022

CPTAM: Constituency Parse Tree Aggregation Method

Diverse Natural Language Processing tasks employ constituency parsing to...

0 Adithya Kulkarni, et al. ∙

research

∙ 01/05/2022

Biphasic Face Photo-Sketch Synthesis via Semantic-Driven Generative Adversarial Network with Graph Representation Learning

In recent years, significant progress has been achieved in biphasic face...

4 Xingqun Qi, et al. ∙

research

∙ 12/10/2021

IFR-Explore: Learning Inter-object Functional Relationships in 3D Indoor Scenes

Building embodied intelligent agents that can interact with 3D indoor en...

5 Qi Li, et al. ∙

research

∙ 10/19/2021

Black-box Adversarial Attacks on Commercial Speech Platforms with Minimal Information

Adversarial attacks against commercial black-box speech platforms, inclu...

0 Baolin Zheng, et al. ∙

research

∙ 09/27/2021

Cyber-Physical Taint Analysis in Multi-stage Manufacturing Systems (MMS): A Case Study

Information flows are intrinsic properties of an multi-stage manufacturi...

0 Tao Liu, et al. ∙

research

∙ 09/15/2021

A Unified Framework for Biphasic Facial Age Translation with Noisy-Semantic Guided Generative Adversarial Networks

Biphasic facial age translation aims at predicting the appearance of the...

0 Muyi Sun, et al. ∙

research

∙ 09/09/2021

Truth Discovery in Sequence Labels from Crowds

Annotations quality and quantity positively affect the performance of se...

0 Nasim Sabetpour, et al. ∙

research

∙ 09/06/2021

From Contexts to Locality: Ultra-high Resolution Image Segmentation via Locality-aware Contextual Correlation

Ultra-high resolution image segmentation has raised increasing interests...

10 Qi Li, et al. ∙

research

∙ 08/23/2021

Towards Balanced Learning for Instance Recognition

Instance recognition is rapidly advanced along with the developments of ...

8 Jiangmiao Pang, et al. ∙

research

∙ 08/21/2021

A Hard Label Black-box Adversarial Attack Against Graph Neural Networks

Graph Neural Networks (GNNs) have achieved state-of-the-art performance ...

0 Jiaming Mu, et al. ∙

research

∙ 08/07/2021

Scientific X-ray

The rapid development of modern science and technology has spawned rich ...

0 Qi Li, et al. ∙

research

∙ 07/13/2021

HDMapNet: An Online HD Map Construction and Evaluation Framework

High-definition map (HD map) construction is a crucial problem for auton...

3 Qi Li, et al. ∙

research

∙ 07/12/2021

Contrastive Learning for Cold-Start Recommendation

Recommending cold-start items is a long-standing and fundamental challen...

0 Yinwei Wei, et al. ∙

Qi Li

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