Xuyang Liu

Orcid: 0000-0002-0691-9371

Affiliations:
  • Sichuan University (SCU), College of Electronics And Information Engineering, Chengdu, China


According to our database1, Xuyang Liu authored at least 26 papers between 2022 and 2026.

Collaborative distances:

Timeline

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Bibliography

2026
EvoStreaming: Your Offline Video Model Is a Natively Streaming Assistant.
CoRR, May, 2026

Seeing Sarcasm Through Different Eyes: Analyzing Multimodal Sarcasm Perception in Large Vision-Language Models.
IEEE Trans. Comput. Soc. Syst., April, 2026

AudioKV: KV Cache Eviction in Efficient Large Audio Language Models.
CoRR, April, 2026

Bridging Visual Representation and Reinforcement Learning from Verifiable Rewards in Large Vision-Language Models.
CoRR, March, 2026

Flash-Unified: A Training-Free and Task-Aware Acceleration Framework for Native Unified Models.
CoRR, March, 2026

M2IST: Multi-Modal Interactive Side-Tuning for Efficient Referring Expression Comprehension.
IEEE Trans. Circuits Syst. Video Technol., February, 2026

Global Compression Commander: Plug-and-Play Inference Acceleration for High-Resolution Large Vision-Language Models.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Filter, Correlate, Compress: Training-Free Token Reduction for MLLM Acceleration.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
IPCV: Information-Preserving Compression for MLLM Visual Encoders.
CoRR, December, 2025

AI for Service: Proactive Assistance with AI Glasses.
CoRR, October, 2025

Variation-aware Vision Token Dropping for Faster Large Vision-Language Models.
CoRR, September, 2025

Prune2Drive: A Plug-and-Play Framework for Accelerating Vision-Language Models in Autonomous Driving.
CoRR, August, 2025

The Devil behind the mask: An emergent safety vulnerability of Diffusion LLMs.
CoRR, July, 2025

Shifting AI Efficiency From Model-Centric to Data-Centric Compression.
CoRR, May, 2025

Perception- and Fidelity-Aware Reduced-Reference Super-Resolution Image Quality Assessment.
IEEE Trans. Broadcast., March, 2025

Compression with Global Guidance: Towards Training-free High-Resolution MLLMs Acceleration.
CoRR, January, 2025

Accelerating Diffusion Transformers with Token-wise Feature Caching.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Gnothi Seauton: Empowering Faithful Self-Interpretability in Black-Box Transformers.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
Rethinking Token Reduction in MLLMs: Towards a Unified Paradigm for Training-Free Acceleration.
CoRR, 2024

Gnothi Seauton: Empowering Faithful Self-Interpretability in Black-Box Models.
CoRR, 2024

M<sup>2</sup>IST: Multi-Modal Interactive Side-Tuning for Memory-efficient Referring Expression Comprehension.
CoRR, 2024

Sparse-Tuning: Adapting Vision Transformers with Efficient Fine-tuning and Inference.
CoRR, 2024

V-PETL Bench: A Unified Visual Parameter-Efficient Transfer Learning Benchmark.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

DARA: Domain- and Relation-Aware Adapters Make Parameter-Efficient Tuning for Visual Grounding.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

VGDIFFZERO: Text-To-Image Diffusion Models Can Be Zero-Shot Visual Grounders.
Proceedings of the IEEE International Conference on Acoustics, 2024

2022
GLMLP-TRANS: A transportation mode detection model using lightweight sensors integrated in smartphones.
Comput. Commun., 2022


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