Yihan Wu

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

Known people with the same name:

Bibliography

2026
OrigamiBench: An Interactive Environment to Synthesize Flat-Foldable Origamis.
CoRR, March, 2026

Decoding ML Decision: An Agentic Reasoning Framework for Large-Scale Ranking System.
CoRR, February, 2026

MC<sup>2</sup>Mark: Distortion-Free Multi-Bit Watermarking for Long Messages.
CoRR, February, 2026

More Haste, Less Speed: Weaker Single-Layer Watermark Improves Distortion-Free Watermark Ensembles.
CoRR, February, 2026

A Novel Searchable Attribute-Based Encryption Scheme Supporting Fuzzy Keywords Ranking for the Cloud Environment.
Concurr. Comput. Pract. Exp., January, 2026

Fast-Tactical Diffusion for On-Board AAV Spectrum-Level Signal Deception.
IEEE Internet Things J., 2026

2025
Robust Distortion-Free Watermark for Autoregressive Audio Generation Models.
CoRR, October, 2025

Model Correlation Detection via Random Selection Probing.
CoRR, September, 2025

Analyzing and Evaluating Unbiased Language Model Watermark.
CoRR, September, 2025

An Ensemble Framework for Unbiased Language Model Watermarking.
CoRR, September, 2025

A Watermark for Auto-Regressive Image Generation Models.
CoRR, June, 2025

Modality-Balancing Preference Optimization of Large Multimodal Models by Adversarial Negative Mining.
CoRR, June, 2025

Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Ownership Verification with Reasoning.
CoRR, February, 2025

Elucidating metabolite and pH variations in stroke through guanidino, amine and amide CEST MRI: A comparative multi-field study at 9.4T and 3T.
NeuroImage, 2025

Enhancing privacy in biosecurity with watermarked protein design.
Bioinform., 2025

A Watermark for Auto-Regressive Speech Generation Models.
Proceedings of the 26th Annual Conference of the International Speech Communication Association, 2025

De-mark: Watermark Removal in Large Language Models.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Towards Optimal Multi-draft Speculative Decoding.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

A Watermark for Order-Agnostic Language Models.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Improved Unbiased Watermark for Large Language Models.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
Age-dependent functional development pattern in neonatal brain: An fMRI-based brain entropy study.
NeuroImage, 2024

Distortion-free Watermarks are not Truly Distortion-free under Watermark Key Collisions.
CoRR, 2024

Entity Alignment with Unlabeled Dangling Cases.
CoRR, 2024

Lambda: Learning Matchable Prior For Entity Alignment with Unlabeled Dangling Cases.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

ZeroMark: Towards Dataset Ownership Verification without Disclosing Watermark.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

A Resilient and Accessible Distribution-Preserving Watermark for Large Language Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Defense against Model Extraction Attack by Bayesian Active Watermarking.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Unbiased Watermark for Large Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Exploration of Brain Tumor Localization with High-density Electrocorticography.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

Few-Shot Class Incremental Learning with Attention-Aware Self-adaptive Prompt.
Proceedings of the Computer Vision - ECCV 2024, 2024

Your Vision-Language Model Itself Is a Strong Filter: Towards High-Quality Instruction Tuning with Data Selection.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Lost Domain Generalization Is a Natural Consequence of Lack of Training Domains.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
GPT-4 Vision on Medical Image Classification - A Case Study on COVID-19 Dataset.
CoRR, 2023

DiPmark: A Stealthy, Efficient and Resilient Watermark for Large Language Models.
CoRR, 2023

Shielding the Unseen: Privacy Protection through Poisoning NeRF with Spatial Deformation.
CoRR, 2023

Characterizing normal perinatal development of the human brain structural connectivity.
CoRR, 2023

A Physics-guided NN-based Approach for Tropical Cyclone Intensity Estimation.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

A Computational Framework for Characterizing Normative Development of Structural Brain Connectivity in the Perinatal Stage.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

A Law of Robustness beyond Isoperimetry.
Proceedings of the International Conference on Machine Learning, 2023

Improving HER2-Positive Breast Cancer Targeted Therapy Prediction Using multiMSnet: A Multi-Scale Pathological Image-Based Approach.
Proceedings of the IEEE International Conference on Data Mining, 2023

Cooperation or Competition: Avoiding Player Domination for Multi-Target Robustness via Adaptive Budgets.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Adversarial Weight Perturbation Improves Generalization in Graph Neural Networks.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
NeuroGen: Activation optimized image synthesis for discovery neuroscience.
NeuroImage, 2022

Adversarial Weight Perturbation Improves Generalization in Graph Neural Network.
CoRR, 2022

Towards Robust Dataset Learning.
CoRR, 2022

Semantic scene descriptions as an objective of human vision.
CoRR, 2022

How Many Data Are Needed for Robust Learning?
CoRR, 2022

Capturing Model Uncertainty with Data Augmentation in Deep Learning.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

RetrievalGuard: Provably Robust 1-Nearest Neighbor Image Retrieval.
Proceedings of the International Conference on Machine Learning, 2022

An adaptive seam line panoramic video stitching algorithm.
Proceedings of the IEEE/CIC International Conference on Communications in China, 2022

Masquerade Detection Based on Temporal Convolutional Network.
Proceedings of the 25th IEEE International Conference on Computer Supported Cooperative Work in Design, 2022

2021
NeuroGen: activation optimized image synthesis for discovery neuroscience.
CoRR, 2021

Completing the Picture: Randomized Smoothing Suffers from the Curse of Dimensionality for a Large Family of Distributions.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Robust Video Object Segmentation via Propagating Seams and Matching Superpixels.
IEEE Access, 2020

Online Dating Meets Artificial Intelligence: How the Perception of Algorithmically Generated Profile Text Impacts Attractiveness and Trust.
Proceedings of the OzCHI '20: 32nd Australian Conference on Human-Computer-Interaction, 2020

2015
A Web Log Frequent Sequential Pattern Mining Algorithm Linked WAP-Tree.
J. Softw., 2015

2013
Model-Based Management of Service Composition.
Proceedings of the Seventh IEEE International Symposium on Service-Oriented System Engineering, 2013

Multi-scale Entropy: One Metric of Software Aging.
Proceedings of the Seventh IEEE International Symposium on Service-Oriented System Engineering, 2013


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