Xiuyu Li

Orcid: 0009-0001-4230-5940

According to our database1, Xiuyu Li authored at least 43 papers between 2021 and 2026.

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Timeline

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Bibliography

2026
OFA-Diffusion Compression: Compressing Diffusion Model in One-Shot Manner.
CoRR, April, 2026

Flash-KMeans: Fast and Memory-Efficient Exact K-Means.
CoRR, March, 2026

V<sub>1</sub>: Unifying Generation and Self-Verification for Parallel Reasoners.
CoRR, March, 2026

Quant VideoGen: Auto-Regressive Long Video Generation via 2-Bit KV-Cache Quantization.
CoRR, February, 2026

Reasoning and Tool-use Compete in Agentic RL:From Quantifying Interference to Disentangled Tuning.
CoRR, February, 2026

ETS: Energy-Guided Test-Time Scaling for Training-Free RL Alignment.
CoRR, January, 2026

Vision-as-Inverse-Graphics Agent via Interleaved Multimodal Reasoning.
CoRR, January, 2026

2025
ThreadWeaver: Adaptive Threading for Efficient Parallel Reasoning in Language Models.
CoRR, December, 2025

Lamformer: LSTM-enhanced agent attention and mixture-of-experts transformer for efficient stock price prediction.
Int. J. Mach. Learn. Cybern., November, 2025

StreamDiffusionV2: A Streaming System for Dynamic and Interactive Video Generation.
CoRR, November, 2025

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity.
CoRR, June, 2025

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation.
CoRR, May, 2025

Learning Adaptive Parallel Reasoning with Language Models.
CoRR, April, 2025

Token-Efficient Long Video Understanding for Multimodal LLMs.
CoRR, March, 2025

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity.
CoRR, February, 2025

ESNet: End-to-End Chromosome Instance Segmentation Method Based on Edge Supervised Network.
IEEE Trans. Comput. Biol. Bioinform., 2025

Sparse Video-Gen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

SVDQuant: Absorbing Outliers by Low-Rank Component for 4-Bit Diffusion Models.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

LongVILA: Scaling Long-Context Visual Language Models for Long Videos.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

STORM: Token-Efficient Long Video Understanding for Multimodal LLMs.
Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

S*: Test Time Scaling for Code Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

NVILA: Efficient Frontier Visual Language Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
Data Isotopes for Data Provenance in DNNs.
Proc. Priv. Enhancing Technol., January, 2024

Balancing Economic Growth and Environmental Conservation: Assessing Supportive Policies in Resources-Based Cities in China.
Syst., 2024

NVILA: Efficient Frontier Visual Language Models.
CoRR, 2024

SVDQuant: Absorbing Outliers by Low-Rank Components for 4-Bit Diffusion Models.
CoRR, 2024

LongVILA: Scaling Long-Context Visual Language Models for Long Videos.
CoRR, 2024

RouterBench: A Benchmark for Multi-LLM Routing System.
CoRR, 2024

SqueezeLLM: Dense-and-Sparse Quantization.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

LLoCO: Learning Long Contexts Offline.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Magic-Me: Identity-Specific Video Customized Diffusion.
Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

2023
CVPR 2023 Text Guided Video Editing Competition.
CoRR, 2023

TorchSparse++: Efficient Training and Inference Framework for Sparse Convolution on GPUs.
Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

Q-Diffusion: Quantizing Diffusion Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

TorchSparse++: Efficient Point Cloud Engine.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
The ArtBench Dataset: Benchmarking Generative Models with Artworks.
CoRR, 2022

TorchSparse: Efficient Point Cloud Inference Engine.
Proceedings of the Fifth Conference on Machine Learning and Systems, 2022

GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph Neural Networks.
Proceedings of the Learning on Graphs Conference, 2022

2021
New Benchmarks for Learning on Non-Homophilous Graphs.
CoRR, 2021

EDLm<sup>6</sup>APred: ensemble deep learning approach for mRNA m<sup>6</sup>A site prediction.
BMC Bioinform., 2021

On connected graphs and trees with maximal inverse sum indeg index.
Appl. Math. Comput., 2021

Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021


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