Ruiyi Zhang

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

Known people with the same name:

Bibliography

2025
Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm.
CoRR, August, 2025

MusiXQA: Advancing Visual Music Understanding in Multimodal Large Language Models.
CoRR, June, 2025

DreamPRM: Domain-Reweighted Process Reward Model for Multimodal Reasoning.
CoRR, May, 2025

MDocAgent: A Multi-Modal Multi-Agent Framework for Document Understanding.
CoRR, March, 2025

TapWeight: Reweighting Pretraining Objectives for Task-Adaptive Pretraining.
Trans. Mach. Learn. Res., 2025

BiDoRA: Bi-level Optimization-Based Weight-Decomposed Low-Rank Adaptation.
Trans. Mach. Learn. Res., 2025

Downstream Task Guided Masking Learning in Masked Autoencoders Using Multi-Level Optimization.
Trans. Mach. Learn. Res., 2025

Defense against Prompt Injection Attacks via Mixture of Encodings.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

2024
Transformer Architecture Search for Improving Out-of-Domain Generalization in Machine Translation.
Trans. Mach. Learn. Res., 2024

Enhancing Diffusion Posterior Sampling for Inverse Problems by Integrating Crafted Measurements.
CoRR, 2024

BiLoRA: A Bi-level Optimization Framework for Overfitting-Resilient Low-Rank Adaptation of Large Pre-trained Models.
CoRR, 2024

BLO-SAM: Bi-level Optimization Based Overfitting-Preventing Finetuning of SAM.
CoRR, 2024

AutoLoRA: Automatically Tuning Matrix Ranks in Low-Rank Adaptation Based on Meta Learning.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

BLO-SAM: Bi-level Optimization Based Finetuning of the Segment Anything Model for Overfitting-Preventing Semantic Segmentation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
RHS-TRNG: A Resilient High-Speed True Random Number Generator Based on STT-MTJ Device.
IEEE Trans. Very Large Scale Integr. Syst., October, 2023

DrugChat: Towards Enabling ChatGPT-Like Capabilities on Drug Molecule Graphs.
CoRR, 2023

Forecast of International Tourist Arrivals Based on ARIMA Model.
Proceedings of the 6th IEEE International Conference on Information Systems and Computer Aided Educatio, 2023

Cardiac MRI Tagline Extraction Based on Diffeomorphic Active Contour Algorithm.
Proceedings of the Functional Imaging and Modeling of the Heart, 2023

Research and Application of Blind Watermark Based on DCT.
Proceedings of the 9th Intl Conference on Big Data Security on Cloud, 2023

2022
Performance measurement of decision making units through interval efficiency with slacks-based measure: an application to tourist hotels in Taipei.
J. Intell. Fuzzy Syst., 2022

scPretrain: multi-task self-supervised learning for cell-type classification.
Bioinform., 2022

STT: Soft Template Tuning for Few-Shot Adaptation.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

Robustness of Demonstration-based Learning Under Limited Data Scenario.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
Elastic Shape Analysis of Planar Objects Using Tensor Field Representations.
J. Math. Imaging Vis., 2021

Graphine: A Dataset for Graph-aware Terminology Definition Generation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020
When does MAML Work the Best? An Empirical Study on Model-Agnostic Meta-Learning in NLP Applications.
CoRR, 2020

GenDICE: Generalized Offline Estimation of Stationary Values.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Neural Network Based Successive Cancellation Decoding Algorithm for Polar Codes in URLLC.
Proceedings of the 16th International Symposium on Wireless Communication Systems, 2019

A BP Neural Network Based Punctured Scheduling Scheme Within Mini-slots for Joint URLLC and eMBB Traffic.
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

2018
Stochastic Particle-Optimization Sampling and the Non-Asymptotic Convergence Theory.
CoRR, 2018

2010
Manipulation as a Security Mechanism in Sensor Networks.
Proceedings of the Advances in Social Computing, 2010

2007
Deception framework for sensor networks.
Proceedings of the Third International Conference on Security and Privacy in Communication Networks and the Workshops, 2007

2006
Sector-based routing for secure energy efficient communications.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2006


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