Yuhao Wu

Orcid: 0009-0005-1724-6052

According to our database1, Yuhao Wu authored at least 67 papers between 2015 and 2024.

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Bibliography

2024
Adaptive Density Subgraph Clustering.
IEEE Trans. Comput. Soc. Syst., August, 2024

BMLP: behavior-aware MLP for heterogeneous sequential recommendation.
Frontiers Comput. Sci., June, 2024

CoBEV: Elevating Roadside 3D Object Detection With Depth and Height Complementarity.
IEEE Trans. Image Process., 2024

Markov Modeling of Signal Condition Transitions for Bearing Diagnostics Under External Interference Conditions.
IEEE Trans. Instrum. Meas., 2024

An Improved Model for the Retrieval of Precipitable Water Vapor in All-Weather Conditions (RCMNT) Based on NIR and TIR Recordings of MODIS.
IEEE Trans. Geosci. Remote. Sens., 2024

Tightly Coupled Tomography Model for Atmospheric Water Vapor Based on Multisource Remote-Sensing and GNSS Data.
IEEE Trans. Geosci. Remote. Sens., 2024

Potential of GNSS-R for the Monitoring of Lake Ice Phenology.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

LongGenBench: Benchmarking Long-Form Generation in Long Context LLMs.
CoRR, 2024

Data Exposure from LLM Apps: An In-depth Investigation of OpenAI's GPTs.
CoRR, 2024

AllHands: Ask Me Anything on Large-scale Verbatim Feedback via Large Language Models.
CoRR, 2024

SecGPT: An Execution Isolation Architecture for LLM-Based Systems.
CoRR, 2024

Mitigating Label Noise on Graph via Topological Sample Selection.
CoRR, 2024

Low Profile Orthomode Full-Duplex Antenna for Wearable Biomedical Communication.
IEEE Access, 2024

Your Firmware Has Arrived: A Study of Firmware Update Vulnerabilities.
Proceedings of the 33rd USENIX Security Symposium, 2024

Please Tell Me More: Privacy Impact of Explainability through the Lens of Membership Inference Attack.
Proceedings of the IEEE Symposium on Security and Privacy, 2024

AutoDCS: Automated Decision Chain Selection in Deep Recommender Systems.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

SiDA: Sparsity-Inspired Data-Aware Serving for Efficient and Scalable Large Mixture-of-Experts Models.
Proceedings of the Seventh Annual Conference on Machine Learning and Systems, 2024

Mitigating Label Noise on Graphs via Topological Sample Selection.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Unraveling the Impact of Heterophilic Structures on Graph Positive-Unlabeled Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

RightSizing: Disentangling Generative Models of Human Body Shapes with Metric Constraints.
Proceedings of the 50th Graphics Interface Conference, 2024

MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Sustainable and Transferable Traffic Sign Recognition for Intelligent Transportation Systems.
IEEE Trans. Intell. Transp. Syst., December, 2023

Improving the capability of water vapor retrieval from Landsat 8 using ensemble machine learning.
Int. J. Appl. Earth Obs. Geoinformation, August, 2023

Gradient-Constraint Super-Resolution Reconstruction Method Serving for Infrared Target Detection.
IEEE Consumer Electron. Mag., March, 2023

A review on multimodal zero-shot learning.
WIREs Data. Mining. Knowl. Discov., 2023

A Spatial PWV Retrieval Model Over Land for GCOM-W/AMSR2 Using Neural Network Method: A Case in the Western United States.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Online Continual Knowledge Learning for Language Models.
CoRR, 2023

Harnessing Scalable Transactional Stream Processing for Managing Large Language Models [Vision].
CoRR, 2023

Making Binary Classification from Multiple Unlabeled Datasets Almost Free of Supervision.
CoRR, 2023

3D Masked Autoencoding and Pseudo-labeling for Domain Adaptive Segmentation of Heterogeneous Infant Brain MRI.
CoRR, 2023

Pairwise Intent Graph Embedding Learning for Context-Aware Recommendation.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

CodeIPPrompt: Intellectual Property Infringement Assessment of Code Language Models.
Proceedings of the International Conference on Machine Learning, 2023

SentiStream: A Co-Training Framework for Adaptive Online Sentiment Analysis in Evolving Data Streams.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

IP Protection in TinyML.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

RIATIG: Reliable and Imperceptible Adversarial Text-to-Image Generation with Natural Prompts.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

SlowLiDAR: Increasing the Latency of LiDAR-Based Detection Using Adversarial Examples.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
MFF: Multi-modal feature fusion for zero-shot learning.
Neurocomputing, 2022

Pavement crack detection using non-local theory and iterative sampling.
IET Image Process., 2022

Design of Quasi-Endfire Spoof Surface Plasmon Polariton Leaky-Wave Textile Wearable Antennas.
IEEE Access, 2022

Emotion Makes Rumor Viral? The Effects of Discrete Emotions on Rumor-Mongering on Social Media During a Social Crisis.
Proceedings of the 21st Wuhan International Conference on E-Business, 2022

Work-in-Progress: Measuring Security Protection in Real-time Embedded Firmware.
Proceedings of the IEEE Real-Time Systems Symposium, 2022

A Novel RVFL-Based Algorithm Selection Approach for Software Model Checking.
Proceedings of the Knowledge Science, Engineering and Management, 2022

Multivariate Time Series Imputation Based on Masked Autoencoding with Transformer.
Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

Next Generation Federated Learning for Edge Devices: An Overview.
Proceedings of the 8th IEEE International Conference on Collaboration and Internet Computing, 2022

2021
DeepFed: Federated Deep Learning for Intrusion Detection in Industrial Cyber-Physical Systems.
IEEE Trans. Ind. Informatics, 2021

Multi-Scale Neighborhood Feature Extraction and Aggregation for Point Cloud Segmentation.
IEEE Trans. Circuits Syst. Video Technol., 2021

A novel framework for detecting social bots with deep neural networks and active learning.
Knowl. Based Syst., 2021

Semantic Auto-Encoder with L2-norm Constraint for Zero-Shot Learning.
Proceedings of the ICMLC 2021: 13th International Conference on Machine Learning and Computing, 2021

2020
Anti-Honeypot Enabled Optimal Attack Strategy for Industrial Cyber-Physical Systems.
IEEE Open J. Comput. Soc., 2020

Evolution of a Technology Standard Alliance Based on an Echo Model Developed through Complex Adaptive System Theory.
Complex., 2020

MI-HCS: Monotonically Increasing Hilbert Code Segments for 3D Geospatial Query Window.
IEEE Access, 2020

Detecting Social Spammers in Sina Weibo Using Extreme Deep Factorization Machine.
Proceedings of the Web Information Systems Engineering - WISE 2020, 2020

Perceptual Sensitivity Based Image Structure-Texture Decomposition.
Proceedings of the 3rd IEEE Conference on Multimedia Information Processing and Retrieval, 2020

ReAL: A New ResNet-ALSTM Based Intrusion Detection System for the Internet of Energy.
Proceedings of the 45th IEEE Conference on Local Computer Networks, 2020

Unsupervised Deep Learning for Just Noticeable Difference Estimation.
Proceedings of the 2020 IEEE International Conference on Multimedia & Expo Workshops, 2020

Research Progress of Zero-Shot Learning Beyond Computer Vision.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2020

2019
Real-Time Dense Monocular SLAM With Online Adapted Depth Prediction Network.
IEEE Trans. Multim., 2019

A PSO-based group decision making model with multiplicative reciprocal matrices under flexibility.
Soft Comput., 2019

Reactive obstacle avoidance of monocular quadrotors with online adapted depth prediction network.
Neurocomputing, 2019

How do developers utilize source code from stack overflow?
Empir. Softw. Eng., 2019

2018
A Modified Consensus Model in Group Decision Making With an Allocation of Information Granularity.
IEEE Trans. Fuzzy Syst., 2018

Optimizing Bus Stop Spacing Using the Simulated Annealing Algorithm with Spatial Interaction Coverage Model.
Proceedings of the 11th ACM SIGSPATIAL International Workshop on Computational Transportation Science, 2018

2017
Analysis of license inconsistency in large collections of open source projects.
Empir. Softw. Eng., 2017

How are Developers Treating License Inconsistency Issues? A Case Study on License Inconsistency Evolution in FOSS Projects.
Proceedings of the Open Source Systems: Towards Robust Practices, 2017

Evolution of code clone ratios throughout development history of open-source C and C++ programs.
Proceedings of the 11th IEEE International Workshop on Software Clones, 2017

2016
Jointly registering and fusing images from multiple sensors.
Inf. Fusion, 2016

2015
A Method to Detect License Inconsistencies in Large-Scale Open Source Projects.
Proceedings of the 12th IEEE/ACM Working Conference on Mining Software Repositories, 2015


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