Yihang Wu

Orcid: 0009-0007-3364-2463

According to our database1, Yihang Wu authored at least 53 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
FlyRoute: Self-Evolving Agent Profiling via Data Flywheel for Adaptive Task Routing.
CoRR, May, 2026

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling.
CoRR, May, 2026

VGGT-CD: Training-Free Robust Registration for 3D Change Detection.
CoRR, May, 2026

Deep Modeling and Interpretation for Bladder Cancer Classification.
CoRR, February, 2026

Do AI Overviews Benefit Search Engines? An Ecosystem Perspective.
CoRR, January, 2026

Federated vision transformer with adaptive focal loss for medical image classification.
Knowl. Based Syst., 2026

GMGaze: MoE-based context-aware gaze estimation with CLIP and multiscale transformer.
Knowl. Based Syst., 2026

FedCLIPOT: Federated CLIP model via parameter reusing and optimal transport.
Inf. Fusion, 2026

A systematic analysis of federated learning algorithms for healthcare applications.
Neurocomputing, 2026

Breaking the Modality Barrier: Generative Modeling for Accurate Molecule Retrieval from Mass Spectra.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Federated CLIP for Resource-Efficient Heterogeneous Medical Image Classification.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Towards a Transparent and Interpretable AI Model for Medical Image Classifications.
CoRR, September, 2025

Contrastive clustering based on regular equivalence for influential node identification in complex networks.
CoRR, September, 2025

A graph neural network based on feature network for identifying influential nodes.
CoRR, August, 2025

Review of Feed-forward 3D Reconstruction: From DUSt3R to VGGT.
CoRR, July, 2025

Classification based deep learning models for lung cancer and disease using medical images.
CoRR, July, 2025

FAA-CLIP: Federated Adversarial Adaptation of CLIP.
IEEE Internet Things J., June, 2025

Evaluating the Effectiveness of Black-Box Prompt Optimization as the Scale of LLMs Continues to Grow.
CoRR, May, 2025

An adaptive network construction for single-cell clustering.
J. Supercomput., April, 2025

IPBench: Benchmarking the Knowledge of Large Language Models in Intellectual Property.
CoRR, April, 2025

A two-stage model leveraging friendship network for community evolution prediction in interactive networks.
CoRR, March, 2025

Generalizable and Explainable Deep Learning for Medical Image Computing: An Overview.
CoRR, March, 2025

Simulations of Common Unsupervised Domain Adaptation Algorithms for Image Classification.
IEEE Trans. Instrum. Meas., 2025

Reliable and Private Utility Signaling for Data Markets.
Proc. ACM Manag. Data, 2025

Enhancing dual network based semi-supervised medical image segmentation with uncertainty-guided pseudo-labeling.
Knowl. Based Syst., 2025

Domain adaptation techniques for natural and medical image classification.
Inf. Sci., 2025

Impact of domain adaptation in deep learning for medical image classifications.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025

Analyzing the Calibration of CLIP Models Under Noisy Data Conditions.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025

Performance Evaluation of the CLIP Model in Classification Tasks.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025

Deep Modeling and Optimization of Medical Image Classification.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

SEMI-Supervised Medical Image Segmentation via Dual Networks.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

Bargaining-Based Data Markets.
Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

MTADiffusion: Mask Text Alignment Diffusion Model for Object Inpainting.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

ChatSOP: An SOP-Guided MCTS Planning Framework for Controllable LLM Dialogue Agents.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

From Misleading Queries to Accurate Answers: A Three-Stage Fine-Tuning Method for LLMs.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

A Knowledge Distillation-Based Approach to Enhance Transparency of Classifier Models.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
A graph convolutional network model based on regular equivalence for identifying influential nodes in complex networks.
Knowl. Based Syst., 2024

Federated Learning for Healthcare Applications.
IEEE Internet Things J., 2024

Deep and Shallow Feature Fusion in Feature Score Level for Palmprint Recognition.
IET Biom., 2024

A Survey on Data Markets.
CoRR, 2024

Planning with Large Language Models for Conversational Agents.
CoRR, 2024

Towards Better Text-to-Image Generation Alignment via Attention Modulation.
CoRR, 2024

FACMIC: Federated Adaptative CLIP Model for Medical Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

When Data Pricing Meets Non-Cooperative Game Theory.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023
Electroencephalography Signal Processing: A Comprehensive Review and Analysis of Methods and Techniques.
Sensors, July, 2023

Robotic Arm Motion Planning for Obstacle Avoidance Based on the CMN-RRT * Method.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2023

Robust Tracking for Electromagnetic-Actuated Microrobot Via Sliding Mode Control.
Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

Domain Adaptation in Machine Learning: A Practical Simulation Study.
Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023

Building a Better Metaverse: How Federated Learning is Revolutionizing Virtual Worlds.
Proceedings of the IEEE International Conference on E-health Networking, 2023

A Practical Simulation for Domain Adaptation Models.
Proceedings of the IEEE International Conference on E-health Networking, 2023

A Comparative Study on Canonical Correlation Analysis-Based Multi-feature Fusion for Palmprint Recognition.
Proceedings of the Biometric Recognition - 17th Chinese Conference, 2023

Enhancing Classification Tasks through Domain Adaptation Strategies.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
LabVIEW Based Construction and Decoding for 2/3 Polar Codes.
Proceedings of the 2022 International Wireless Communications and Mobile Computing, 2022


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