Yepeng Liu

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

Length Value Model: Scalable Value Pretraining for Token-Level Length Modeling.

[BibT_eX]

[DOI]

CoRR, April, 2026

VMR-STAG Based Online SFC Orchestration in Space-Terrestrial Integrated Networks.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., March, 2026

From Pairs to Sequences: Track-Aware Policy Gradients for Keypoint Detection.

[BibT_eX]

[DOI]

CoRR, February, 2026

ConvexBench: Can LLMs Recognize Convex Functions?

[BibT_eX]

[DOI]

CoRR, February, 2026

A Reinforcement Learning Framework for Robust and Secure LLM Watermarking.

[BibT_eX]

[DOI]

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025

TokenPure: Watermark Removal through Tokenized Appearance and Structural Guidance.

[BibT_eX]

[DOI]

CoRR, December, 2025

A Reinforcement Learning Framework for Robust and Secure LLM Watermarking.

[BibT_eX]

[DOI]

CoRR, October, 2025

Position: LLM Watermarking Should Align Stakeholders' Incentives for Practical Adoption.

[BibT_eX]

[DOI]

CoRR, October, 2025

In-Context Watermarks for Large Language Models.

[BibT_eX]

[DOI]

CoRR, May, 2025

Defending LLM Watermarking Against Spoofing Attacks with Contrastive Representation Learning.

[BibT_eX]

[DOI]

CoRR, April, 2025

Dataset Protection via Watermarked Canaries in Retrieval-Augmented LLMs.

[BibT_eX]

[DOI]

CoRR, February, 2025

Distributional Information Embedding: A Framework for Multi-bit Watermarking.

[BibT_eX]

[DOI]

CoRR, January, 2025

Unsupervised image smoothing framework with multi-scale separated convolutional attention and multiple loss constraints.

[BibT_eX]

[DOI]

Comput. Graph., 2025

Boosting Adversarial Transferability via Commonality-Oriented Gradient Optimization.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Computer Vision - 8th Chinese Conference, 2025

Image Watermarks are Removable using Controllable Regeneration from Clean Noise.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Universally Optimal Watermarking Schemes for LLMs: from Theory to Practice.

[BibT_eX]

[DOI]

CoRR, 2024

Position-Guided Prompt Learning for Anomaly Detection in Chest X-Rays.

[BibT_eX]

[DOI]

CoRR, 2024

A Fast Percolation-Dijkstra Routing Method for Mega-Constellation Backbone Network.

[BibT_eX]

[DOI]

CoRR, 2024

Adaptive Text Watermark for Large Language Models.

[BibT_eX]

[DOI]

Yepeng Liu

Yuheng Bu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

MLIP: Efficient Multi-Perspective Language-Image Pretraining with Exhaustive Data Utilization.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

TrojPrompt: A Black-box Trojan Attack on Pre-trained Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

MG-ViT: A Multi-Granularity Method for Compact and Efficient Vision Transformers.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

TrojLLM: A Black-box Trojan Prompt Attack on Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

TrojText: Test-time Invisible Textual Trojan Insertion.

[BibT_eX]

[DOI]

Qian Lou

Yepeng Liu

Bo Feng

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2020

Design of dry-type transformer temperature controller based on internet of things.

[BibT_eX]

[DOI]

Int. J. Embed. Syst., 2020

Yepeng Liu

Known people with the same name:

Bibliography

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