Xiaoyu Li

Orcid: 0009-0002-0078-3829

According to our database¹, Xiaoyu Li authored at least 36 papers between 2024 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Links

On csauthors.net:

Bibliography

2026

Breaking Semantic-Aware Watermarks via LLM-Guided Coherence-Preserving Semantic Injection.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2026, 2026

2025

Exploring the Limits of KV Cache Compression in Visual Autoregressive Transformers.

[BibT_eX]

[DOI]

CoRR, March, 2025

Time and Memory Trade-off of KV-Cache Compression in Tensor Transformer Decoding.

[BibT_eX]

[DOI]

CoRR, March, 2025

Theoretical Guarantees for High Order Trajectory Refinement in Generative Flows.

[BibT_eX]

[DOI]

CoRR, March, 2025

Scaling Law Phenomena Across Regression Paradigms: Multiple and Kernel Approaches.

[BibT_eX]

[DOI]

CoRR, March, 2025

On Computational Limits of FlowAR Models: Expressivity and Efficiency.

[BibT_eX]

[DOI]

CoRR, February, 2025

Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling.

[BibT_eX]

[DOI]

CoRR, February, 2025

Universal Approximation of Visual Autoregressive Transformers.

[BibT_eX]

[DOI]

CoRR, February, 2025

High-Order Matching for One-Step Shortcut Diffusion Models.

[BibT_eX]

[DOI]

CoRR, February, 2025

Neural Algorithmic Reasoning for Hypergraphs with Looped Transformers.

[BibT_eX]

[DOI]

CoRR, January, 2025

RichSpace: Enriching Text-to-Video Prompt Space via Text Embedding Interpolation.

[BibT_eX]

[DOI]

CoRR, January, 2025

On the Computational Capability of Graph Neural Networks: A Circuit Complexity Bound Perspective.

[BibT_eX]

[DOI]

CoRR, January, 2025

On Computational Limits and Provably Efficient Criteria of Visual Autoregressive Models: A Fine-Grained Complexity Analysis.

[BibT_eX]

[DOI]

CoRR, January, 2025

Circuit Complexity Bounds for Visual Autoregressive Model.

[BibT_eX]

[DOI]

CoRR, January, 2025

NRFlow: Towards Noise-Robust Generative Modeling via High-Order Mechanism.

[BibT_eX]

[DOI]

Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2025

Faster Algorithms for Structured John Ellipsoid Computation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Fundamental Limits of Visual Autoregressive Transformers: Universal Approximation Abilities.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Fast John Ellipsoid Computation with Differential Privacy Optimization.

[BibT_eX]

[DOI]

Proceedings of the Conference on Parsimony and Learning, 2025

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity.

[BibT_eX]

[DOI]

Proceedings of the Conference on Parsimony and Learning, 2025

Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling.

[BibT_eX]

[DOI]

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Diffusion Modeling is Volumetric Barrier Function.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2025

Bypassing the Exponential Dependency: Looped Transformers Efficiently Learn In-context by Multi-step Gradient Descent.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Theoretical Constraints on the Expressive Power of RoPE-based Tensor Attention Transformers.

[BibT_eX]

[DOI]

CoRR, 2024

Fast Gradient Computation for RoPE Attention in Almost Linear Time.

[BibT_eX]

[DOI]

CoRR, 2024

Grams: Gradient Descent with Adaptive Momentum Scaling.

[BibT_eX]

[DOI]

Yang Cao

Xiaoyu Li

Zhao Song

CoRR, 2024

On the Expressive Power of Modern Hopfield Networks.

[BibT_eX]

[DOI]

CoRR, 2024

Circuit Complexity Bounds for RoPE-based Transformer Architecture.

[BibT_eX]

[DOI]

CoRR, 2024

Advancing the Understanding of Fixed Point Iterations in Deep Neural Networks: A Detailed Analytical Study.

[BibT_eX]

[DOI]

CoRR, 2024

Fine-grained Attention I/O Complexity: Comprehensive Analysis for Backward Passes.

[BibT_eX]

[DOI]

CoRR, 2024

Quantum Speedups for Approximating the John Ellipsoid.

[BibT_eX]

[DOI]

Xiaoyu Li

Zhao Song

Junwei Yu

CoRR, 2024

A Tighter Complexity Analysis of SparseGPT.

[BibT_eX]

[DOI]

CoRR, 2024

Fast John Ellipsoid Computation with Differential Privacy Optimization.

[BibT_eX]

[DOI]

CoRR, 2024

DiHAN: A Novel Dynamic Hierarchical Graph Attention Network for Fake News Detection.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Faster Sampling Algorithms for Polytopes with Small Treewidth.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2024

Fast Second-order Method for Neural Networks under Small Treewidth Setting.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2024

Xiaoyu Li

Timeline

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Links

On csauthors.net:

Bibliography

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