Tianyang Wang

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2025
AutoVMDPgram: An Effective Method for Fault Diagnosis of Rolling Bearing.
IEEE Trans. Neural Networks Learn. Syst., August, 2025

FMDPgram: An Improvement of FMD for Rotating Machinery Fault Diagnosis.
IEEE Trans. Ind. Informatics, August, 2025

Is GPT-OSS Good? A Comprehensive Evaluation of OpenAI's Latest Open Source Models.
CoRR, August, 2025

Exploring Efficiency Frontiers of Thinking Budget in Medical Reasoning: Scaling Laws between Computational Resources and Reasoning Quality.
CoRR, August, 2025

Target-background feature blocks and aberrance repressed correlation filters for real-time UAV tracking.
Signal Image Video Process., July, 2025

RoadBench: A Vision-Language Foundation Model and Benchmark for Road Damage Understanding.
CoRR, July, 2025

FOCUS: Fused Observation of Channels for Unveiling Spectra.
CoRR, July, 2025

Describe Anything Model for Visual Question Answering on Text-rich Images.
CoRR, July, 2025

Mixture of Experts in Large Language Models.
CoRR, July, 2025

Visual Instance-aware Prompt Tuning.
CoRR, July, 2025

KokushiMD-10: Benchmark for Evaluating Large Language Models on Ten Japanese National Healthcare Licensing Examinations.
CoRR, June, 2025

Predicting ICU In-Hospital Mortality Using Adaptive Transformer Layer Fusion.
CoRR, June, 2025

CryoCCD: Conditional Cycle-consistent Diffusion with Biophysical Modeling for Cryo-EM Synthesis.
CoRR, May, 2025

SaSi: A Self-augmented and Self-interpreted Deep Learning Approach for Few-shot Cryo-ET Particle Detection.
CoRR, May, 2025

Beyond Editing Pairs: Fine-Grained Instructional Image Editing via Multi-Scale Learnable Regions.
CoRR, May, 2025

AutoMiSeg: Automatic Medical Image Segmentation via Test-Time Adaptation of Foundation Models.
CoRR, May, 2025

MoRE-Brain: Routed Mixture of Experts for Interpretable and Generalizable Cross-Subject fMRI Visual Decoding.
CoRR, May, 2025

Describe Anything in Medical Images.
CoRR, May, 2025

Mitigating Image Captioning Hallucinations in Vision-Language Models.
CoRR, May, 2025

4D Multimodal Co-attention Fusion Network with Latent Contrastive Alignment for Alzheimer's Diagnosis.
CoRR, April, 2025

Active Learning Methods for Efficient Data Utilization and Model Performance Enhancement.
CoRR, April, 2025

Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models.
CoRR, April, 2025

Visual Variational Autoencoder Prompt Tuning.
CoRR, March, 2025

Advanced Deep Learning Methods for Protein Structure Prediction and Design.
CoRR, March, 2025

MagicID: Hybrid Preference Optimization for ID-Consistent and Dynamic-Preserved Video Customization.
CoRR, March, 2025

CAD-VAE: Leveraging Correlation-Aware Latents for Comprehensive Fair Disentanglement.
CoRR, March, 2025

Generative Adversarial Networks Bridging Art and Machine Intelligence.
CoRR, February, 2025

From In Silico to In Vitro: A Comprehensive Guide to Validating Bioinformatics Findings.
CoRR, February, 2025

From Aleatoric to Epistemic: Exploring Uncertainty Quantification Techniques in Artificial Intelligence.
CoRR, January, 2025

Horizontal Local-Squeezing Frequency-Domain Chirplet Transform.
IEEE Trans. Instrum. Meas., 2025

VMDPgram: An Effective Signal Decomposition Method for Rolling Bearing Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2025

Digital twin-driven imbalanced fault diagnosis method based on new distribution discrepancy metric and large margin aware focal loss.
Simul. Model. Pract. Theory, 2025

Generalized reassigning transform: Algorithm and applications.
Reliab. Eng. Syst. Saf., 2025

The bearing multi-sensor fault diagnosis method based on a multi-branch parallel perception network and feature fusion strategy.
Reliab. Eng. Syst. Saf., 2025

Classifier-free diffusion-based weakly-supervised approach for health indicator derivation in rotating machines: Advancing early fault detection and condition monitoring.
Reliab. Eng. Syst. Saf., 2025

A pulse-current junction calibration method for power SiC MOSFET.
IEICE Electron. Express, 2025

SiC MOSFET <i>V<sub>th</sub></i> sampling circuit design based on JEP183A.
IEICE Electron. Express, 2025

A SiC MOSFET low switching loss strategy based on a reverse conduction.
IEICE Electron. Express, 2025

Multimodal data imputation and fusion for trustworthy fault diagnosis of mechanical systems.
Eng. Appl. Artif. Intell., 2025

Fault diagnosis method for imbalanced data based on adaptive diffusion models and generative adversarial networks.
Eng. Appl. Artif. Intell., 2025

Spatial-temporal graph attention contrastive learning for semi-supervised bearing fault diagnosis with limited labeled samples.
Comput. Ind. Eng., 2025

Time-frequency self-similarity enhancement network and its application in wind turbines fault analysis.
Adv. Eng. Informatics, 2025

A fault diagnosis data augmentation method integrating multimodal non-Gaussian denoising diffusion generative adversarial network.
Adv. Eng. Informatics, 2025

Multi-scale dynamic graph mutual information network for planet bearing health monitoring under imbalanced data.
Adv. Eng. Informatics, 2025

TD-RD: A Top-Down Benchmark with Real-Time Framework for Road Damage Detection.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Enhanced Corneal Endothelial Cell Segmentation via Frequency-Selected Residual Fourier Diffusion Models.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Multimodal Generalized Category Discovery.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

2024
MocFormer: A Two-Stage Pre-training-Driven Transformer for Drug-Target Interactions Prediction.
Int. J. Comput. Intell. Syst., December, 2024

Modeling of Interturn Short Fault in Interior Permanent Magnet Synchronous Motors With Multistrand Windings.
IEEE Trans. Ind. Electron., November, 2024

Entropy-Aided Meshing-Order Modulation Analysis for Wind Turbine Planetary Gear Weak Fault Detection under Variable Rotational Speed.
Entropy, May, 2024

An Environmentally Adaptive and Contrastive Representation Learning Method for Condition Monitoring of Industrial Assets.
IEEE Trans. Cybern., March, 2024

Temporal Output Discrepancy for Loss Estimation-Based Active Learning.
IEEE Trans. Neural Networks Learn. Syst., February, 2024

Hybrid machine condition monitoring based on interpretable dual tree methods using Wasserstein metrics.
Expert Syst. Appl., January, 2024

Design and Implementation of Intelligent Rolling Bearing Based on Variable Reluctance Generator.
IEEE Trans. Instrum. Meas., 2024

From Noise to Nuance: Advances in Deep Generative Image Models.
CoRR, 2024

From Bench to Bedside: A Review of Clinical Trials in Drug Discovery and Development.
CoRR, 2024

Deep Learning Model Security: Threats and Defenses.
CoRR, 2024

Deep Learning, Machine Learning, Advancing Big Data Analytics and Management.
CoRR, 2024

A Comprehensive Guide to Explainable AI: From Classical Models to LLMs.
CoRR, 2024

A Comprehensive Survey and Guide to Multimodal Large Language Models in Vision-Language Tasks.
CoRR, 2024

From Word Vectors to Multimodal Embeddings: Techniques, Applications, and Future Directions For Large Language Models.
CoRR, 2024

Deep Learning and Machine Learning - Natural Language Processing: From Theory to Application.
CoRR, 2024

Deep Learning, Machine Learning - Digital Signal and Image Processing: From Theory to Application.
CoRR, 2024

Deep Learning and Machine Learning - Python Data Structures and Mathematics Fundamental: From Theory to Practice.
CoRR, 2024

Deep Active Learning with Manifold-preserving Trajectory Sampling.
CoRR, 2024

Deep Learning and Machine Learning - Object Detection and Semantic Segmentation: From Theory to Applications.
CoRR, 2024

Jailbreaking and Mitigation of Vulnerabilities in Large Language Models.
CoRR, 2024

Mastering AI: Big Data, Deep Learning, and the Evolution of Large Language Models - Blockchain and Applications.
CoRR, 2024

Mastering AI: Big Data, Deep Learning, and the Evolution of Large Language Models - AutoML from Basics to State-of-the-Art Techniques.
CoRR, 2024

Deep Learning and Machine Learning with GPGPU and CUDA: Unlocking the Power of Parallel Computing.
CoRR, 2024

Deep Learning and Machine Learning: Advancing Big Data Analytics and Management with Design Patterns.
CoRR, 2024

Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Unveiling AI's Potential Through Tools, Techniques, and Applications.
CoRR, 2024

LaDTalk: Latent Denoising for Synthesizing Talking Head Videos with High Frequency Details.
CoRR, 2024

Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Object-Oriented Programming.
CoRR, 2024

Training-free CryoET Tomogram Segmentation.
CoRR, 2024

Cycle-YOLO: A Efficient and Robust Framework for Pavement Damage Detection.
CoRR, 2024

Surveying Attitudinal Alignment Between Large Language Models Vs. Humans Towards 17 Sustainable Development Goals.
CoRR, 2024

Uncertainty-Aware Adapter: Adapting Segment Anything Model (SAM) for Ambiguous Medical Image Segmentation.
CoRR, 2024

Enhancing Weakly Supervised 3D Medical Image Segmentation through Probabilistic-aware Learning.
CoRR, 2024

Privacy-Enhancing Collaborative Information Sharing through Federated Learning - A Case of the Insurance Industry.
CoRR, 2024

Application Of Deep Learning To Basic Surveys For Setting Steep Slope Warning Areas.
Proceedings of the Joint 13th International Conference on Soft Computing and Intelligent Systems and 25th International Symposium on Advanced Intelligent Systems, 2024

CryoSAM: Training-Free CryoET Tomogram Segmentation with Foundation Models.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Compound Dimension Wavelet Network and Its Application in Bearings Fault Diagnosis Under Varying Speeds.
Proceedings of the 22nd IEEE International Conference on Industrial Informatics, 2024

Multi-dimension Transformer with Attention-based Filtering for Medical Image Segmentation.
Proceedings of the 36th IEEE International Conference on Tools with Artificial Intelligence, 2024

HGTDP-DTA: Hybrid Graph-Transformer with Dynamic Prompt for Drug-Target Binding Affinity Prediction.
Proceedings of the Neural Information Processing - 31st International Conference, 2024

Pseudo Training Data Generation for Unsupervised Cell Membrane Segmentation in Immunohistochemistry Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

Deep Active Learning with Noise Stability.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Novel Ramanujan Digital Twin for Motor Periodic Fault Monitoring and Detection.
IEEE Trans. Ind. Informatics, December, 2023

MLAM: Multi-Layer Attention Module for Radar Extrapolation Based on Spatiotemporal Sequence Neural Network.
Sensors, October, 2023

Motor Current Model for Detecting Localized Defects in Planet Rolling Bearings.
IEEE Trans. Ind. Electron., September, 2023

DARMF-UNet: A dual-branch attention-guided refinement network with multi-scale features fusion U-Net for gland segmentation.
Comput. Biol. Medicine, September, 2023

Matching contrastive learning: An effective and intelligent method for wind turbine fault diagnosis with imbalanced SCADA data.
Expert Syst. Appl., August, 2023

Adversarial Representation Learning for Intelligent Condition Monitoring of Complex Machinery.
IEEE Trans. Ind. Electron., 2023

Cross-channel spatial attention network for few-shot classification.
J. Electronic Imaging, 2023

DeepArt: A Benchmark to Advance Fidelity Research in AI-Generated Content.
CoRR, 2023

DenseMP: Unsupervised Dense Pre-training for Few-shot Medical Image Segmentation.
CoRR, 2023

A Wasserstein generative digital twin model in health monitoring of rotating machines.
Comput. Ind., 2023

A Genetic Algorithm based Parallel Task Planning Method for Cooperative MRS.
Proceedings of the 25th ACIS International Winter Conference on Software Engineering, 2023

Overcoming Catastrophic Forgetting for Fine-Tuning Pre-trained GANs.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Towards Inadequately Pre-trained Models in Transfer Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Improving Bert Fine-Tuning via Stabilizing Cross-Layer Mutual Information.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Fault Feature Recovery With Wasserstein Generative Adversarial Imputation Network With Gradient Penalty for Rotating Machine Health Monitoring Under Signal Loss Condition.
IEEE Trans. Instrum. Meas., 2022

Generalized Cross-Severity Fault Diagnosis of Bearings via a Hierarchical Cross-Category Inference Framework.
IEEE Trans. Ind. Informatics, 2022

Synchro-Reassigning Transform for Instantaneous Frequency Estimation and Signal Reconstruction.
IEEE Trans. Ind. Electron., 2022

Deep Active Learning with Noise Stability.
CoRR, 2022

Deep-Precognitive Diagnosis: Preventing Future Pandemics by Novel Disease Detection With Biologically-Inspired Conv-Fuzzy Network.
IEEE Access, 2022

Prolificacy Assessment of Spermatozoan via State-of-the-Art Deep Learning Frameworks.
IEEE Access, 2022

Deep Active Learning for Cryo-Electron Tomography Classification.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Parameter-Free Style Projection for Arbitrary Image Style Transfer.
Proceedings of the IEEE International Conference on Acoustics, 2022

A Lightweight Trusted Architecture and Service Mechanisms based on SylixOS.
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

Boosting Active Learning via Improving Test Performance.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Cross-Operating Condition Degradation Knowledge Learning for Remaining Useful Life Estimation of Bearings.
IEEE Trans. Instrum. Meas., 2021

Scaling-Basis Chirplet Transform.
IEEE Trans. Ind. Electron., 2021

Magnetic Equivalent Modeling of Stator Currents for Localized Fault Detection of Planetary Gearboxes Coupled to Electric Motors.
IEEE Trans. Ind. Electron., 2021

Spatiotemporal non-negative projected convolutional network with bidirectional NMF and 3DCNN for remaining useful life estimation of bearings.
Neurocomputing, 2021

An Intelligent Passenger Flow Prediction Method for Pricing Strategy and Hotel Operations.
Complex., 2021

Sparse Representation Classification With Structured Dictionary Design Strategy for Rotating Machinery Fault Diagnosis.
IEEE Access, 2021

Single Image Super-resolution using Vectorization and Texture Synthesis.
Proceedings of the 16th International Joint Conference on Computer Vision, 2021

Semi-Supervised Active Learning with Temporal Output Discrepancy.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
An Evaluation of novel method of Ill-Posed Problem for the Black-Scholes Equation solution.
CoRR, 2020

Conversion and Implementation of State-of-the-Art Deep Learning Algorithms for the Classification of Diabetic Retinopathy.
CoRR, 2020

Parameter-Free Style Projection for Arbitrary Style Transfer.
CoRR, 2020

Semantic Tree-Based 3D Scene Model Recognition.
Proceedings of the 3rd IEEE Conference on Multimedia Information Processing and Retrieval, 2020

I2S2: Image-to-Scene Sketch Translation Using Conditional Input and Adversarial Networks.
Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

2019
Deep convolutional neural network based planet bearing fault classification.
Comput. Ind., 2019

Instance-Based Deep Transfer Learning.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Rethink Gaussian Denoising Prior for Real-World Image Denoising.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Temporal Interframe Pattern Analysis for Static and Dynamic Hand Gesture Recognition.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Extended 2D Scene Sketch-Based 3D Scene Retrieval.
Proceedings of the 12th Eurographics Workshop on 3D Object Retrieval, 2019


2018
Data Dropout: Optimizing Training Data for Convolutional Neural Networks.
Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

2017
Investigation of different speech types and emotions for detecting depression using different classifiers.
Speech Commun., 2017

Dilated Residual Network for Image Denoising.
CoRR, 2017

Dilated Deep Residual Network for Image Denoising.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

An ELU Network with Total Variation for Image Denoising.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016
Wideband MEMS electrostatic energy harvester with dual resonant structure.
Proceedings of the 2016 IEEE SENSORS, Orlando, FL, USA, October 30 - November 3, 2016, 2016

Evaluation of Depression Severity in Speech.
Proceedings of the Brain Informatics and Health - International Conference, 2016

Assessing stress levels via speech using three reading patterns.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015
Robust multi-period portfolio model based on prospect theory and ALMV-PSO algorithm.
Expert Syst. Appl., 2015

Feature selection and classification of speech under long-term stress.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

Detection of depression in speech.
Proceedings of the 2015 International Conference on Affective Computing and Intelligent Interaction, 2015

2012
A Copulas-Based Approach to Modeling Dependence in Decision Trees.
Oper. Res., 2012

2010
Valuing Multifactor Real Options Using an Implied Binomial Tree.
Decis. Anal., 2010

CDHL: A Hybrid Range-Free Localization Algorithm in Wireless Sensor Networks.
Proceedings of the Fifth International Conference on Frontier of Computer Science and Technology, 2010

2008
An Improved Role-Based Workflow Access Control Model.
Proceedings of the Fifth International Conference on Information Technology: New Generations (ITNG 2008), 2008

Implementation of Collaborative Control in Supply Chain Management by Using DA and Workflow Technology.
Proceedings of the Fifth International Conference on Information Technology: New Generations (ITNG 2008), 2008

A Content-Based Multimedia Retrieval System Base on MPEG-7 Metadata Schema.
Proceedings of the Fifth International Conference on Information Technology: New Generations (ITNG 2008), 2008


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