Yan Pang

Orcid: 0000-0002-6483-8326

According to our database1, Yan Pang authored at least 66 papers between 2002 and 2024.

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Bibliography

2024
Slim UNETR: Scale Hybrid Transformers to Efficient 3D Medical Image Segmentation Under Limited Computational Resources.
IEEE Trans. Medical Imaging, March, 2024

Privacy-Preserving Multiview Matrix Factorization for Recommender Systems.
IEEE Trans. Artif. Intell., January, 2024

AdaptFormer: An Adaptive Hierarchical Semantic Approach for Change Detection on Remote Sensing Images.
IEEE Trans. Instrum. Meas., 2024

Optimizing resource allocation in UAV-assisted ultra-dense networks for enhanced performance and security.
Inf. Sci., 2024

Towards Understanding Unsafe Video Generation.
CoRR, 2024

RFLPA: A Robust Federated Learning Framework against Poisoning Attacks with Secure Aggregation.
CoRR, 2024

Private Wasserstein Distance with Random Noises.
CoRR, 2024

VGMShield: Mitigating Misuse of Video Generative Models.
CoRR, 2024

Comprehensive Transformer Integration Network (CTIN): Advancing Endoscopic Disease Segmentation with Hybrid Transformer Architecture.
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

IPM: An Intelligent Component for 3D Brain Tumor Segmentation Integrating Semantic Extractor and Pixel Refiner.
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

SFFAFormer: An Semantic Fusion and Feature Accumulation Approach for Remote Sensing Image Change Detection.
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

Split-and-Denoise: Protect large language model inference with local differential privacy.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Knowledge Graph Unlearning to Defend Language Model Against Jailbreak Attack.
Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

Distributionally Robust Federated Learning with Wasserstein Barycenter.
Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

Multimodal Misinformation Detection by Learning from Synthetic Data with Multimodal LLMs.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Data Valuation and Detections in Federated Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Learning and integration of adaptive hybrid graph structures for multivariate time series forecasting.
Inf. Sci., November, 2023

An Image Quality Improvement Method in Side-Scan Sonar Based on Deconvolution.
Remote. Sens., October, 2023

An efficient feature selection algorithm based on the description vector and hypergraph.
Inf. Sci., June, 2023

Smart contract watermarking based on code obfuscation.
Inf. Sci., May, 2023

Black-box Membership Inference Attacks against Fine-tuned Diffusion Models.
CoRR, 2023

White-box Membership Inference Attacks against Diffusion Models.
CoRR, 2023

Vertical Federated Graph Neural Network for Recommender System.
Proceedings of the International Conference on Machine Learning, 2023

One Important Thing To Do Before Federated Training.
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

DAG Matters! GFlowNets Enhanced Explainer for Graph Neural Networks.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Personalized Differential Privacy in the Shuffle Model.
Proceedings of the Artificial Intelligence Security and Privacy, 2023

Towards Heterogeneous Federated Learning: Analysis, Solutions, and Future Directions.
Proceedings of the Artificial Intelligence Security and Privacy, 2023

2022
Functorial Semiotics for Creativity in Music and Mathematics
Computational Music Science, Springer, ISBN: 978-3-030-85189-7, 2022

Sparse-Dyn: Sparse dynamic graph multirepresentation learning via event-based sparse temporal attention network.
Int. J. Intell. Syst., 2022

Graph Decipher: A transparent dual-attention graph neural network to understand the message-passing mechanism for the node classification.
Int. J. Intell. Syst., 2022

GFlowCausal: Generative Flow Networks for Causal Discovery.
CoRR, 2022

PrivMVMF: Privacy-Preserving Multi-View Matrix Factorization for Recommender Systems.
CoRR, 2022

Efficient-Dyn: Dynamic Graph Representation Learning via Event-based Temporal Sparse Attention Network.
CoRR, 2022

Graph Decipher: A transparent dual-attention graph neural network to understand the message-passing mechanism for the node classification.
CoRR, 2022

2021
Making Musical Time
Computational Music Science, Springer, ISBN: 978-3-030-85628-1, 2021

Fuzzy rough sets and fuzzy rough neural networks for feature selection: A review.
WIREs Data Mining Knowl. Discov., 2021

Accuracy Assessment of the ICESat-2/ATL06 Product in the Qilian Mountains Based on CORS and UAV Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Vertical emission reduction in a green supply chain and government subsidy incentive decision under channel preference.
Int. J. Autom. Control., 2021

Jura: Towards Automatic Compliance Assessment for Annual Reports of Listed Companies.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Resilient Nonlinear Control for Attacked Cyber-Physical Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2020

Improved crop row detection with deep neural network for early-season maize stand count in UAV imagery.
Comput. Electron. Agric., 2020

A New Consensus Protocol for Blockchain Interoperability Architecture.
IEEE Access, 2020

2019
Automatic Object Segmentation Based on GrabCut.
Proceedings of the Advances in Computer Vision, 2019

Sentiment Analysis of Chinese Product Reviews using Gated Recurrent Unit.
Proceedings of the IEEE Fifth International Conference on Big Data Computing Service and Applications, 2019

Exploring Machine Learning Techniques for Smart Drainage System.
Proceedings of the IEEE Fifth International Conference on Big Data Computing Service and Applications, 2019

Cryptocurrency Price Prediction using Time Series and Social Sentiment Data.
Proceedings of the 6th IEEE/ACM International Conference on Big Data Computing, 2019

2018
Basic Music Technology - An Introduction
Computational Music Science, Springer, ISBN: 978-3-030-00981-6, 2018

A multi-objective differential evolution algorithm for parallel batch processing machine scheduling considering electricity consumption cost.
Comput. Oper. Res., 2018

A random-keys genetic algorithm for scheduling unrelated parallel batch processing machines with different capacities and arbitrary job sizes.
Appl. Math. Comput., 2018

Development of a Radiology Decision Support System for the Classification of MRI Brain Scans.
Proceedings of the 5th IEEE/ACM International Conference on Big Data Computing Applications and Technologies, 2018

2017
The cole-cole model of porcine activity tissues in radio frequency.
Proceedings of the 10th International Congress on Image and Signal Processing, 2017

2016
All About Music - The Complete Ontology: Realities, Semiotics, Communication, and Embodiment
Computational Music Science, Springer, ISBN: 978-3-319-47334-5, 2016

Cool Math for Hot Music - A First Introduction to Mathematics for Music Theorists
Computational Music Science, Springer, ISBN: 978-3-319-42937-3, 2016

A hybrid modeling and optimization approach for scheduling problems of assembly automation processes.
J. Syst. Control. Eng., 2016

2012
Single-Hop Friends Recommendation and Verification Based Incentive for BitTorrent.
Proceedings of the Web Technologies and Applications - 14th Asia-Pacific Web Conference, 2012

2010
NGMV Control of Delayed Piecewise Affine Systems.
IEEE Trans. Autom. Control., 2010

Price Differentiation All-Pay Auction-Based Incentives in BitTorrent.
Proceedings of the Advances in Grid and Pervasive Computing, 5th International Conference, 2010

2009
Rate-distortion based path selection for video streaming over wireless ad-hoc networks.
Proceedings of the 2009 IEEE International Conference on Multimedia and Expo, 2009

State dependent NGMV control of delayed piecewise affine systems.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2008
An Efficient Method to Reduce Peer-to-Peer Streaming Latency.
Proceedings of the Advances in Multimedia Information Processing, 2008

Low latency overlay construction for peer-to-peer live streaming.
Proceedings of 8th IEEE International Conference on Computer and Information Technology, 2008

2007
Tutorial introduction to the modelling and control of hybrid systems.
Int. J. Model. Identif. Control., 2007

Reachability and optimal control for linear hybrid automata: a quantifier elimination approach.
Int. J. Control, 2007

NGMV control of state dependent multivariable systems.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

2002
Approximate analysis of supervisory target control for hybrid systems.
Proceedings of the 41st IEEE Conference on Decision and Control, 2002

Eventuality synthesis for controlled linear automata.
Proceedings of the American Control Conference, 2002


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