Xiaoyu Li - RankMe

35 papers A* 2A 3B 2Journal 26Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Bypassing the Exponential Dependency: Looped Transformers Efficiently Learn In-context by Multi-step Gradient Descent. AISTATS Bo Chen, Xiaoyu Li, Yingyu Liang, Zhenmei Shi, Zhao Song
2025	J	`jnl`	Circuit Complexity Bounds for Visual Autoregressive Model. CoRR Yekun Ke, Xiaoyu Li, Yingyu Liang, Zhenmei Shi, Zhao Song
2025	A*	`conf`	Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies. ICML Yuefan Cao, Xiaoyu Li, Yingyu Liang, Zhizhou Sha, Zhenmei Shi, Zhao Song, Jiahao Zhang
2025	J	`jnl`	Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies. CoRR Yuefan Cao, Xiaoyu Li, Yingyu Liang, Zhizhou Sha, Zhenmei Shi, Zhao Song, Jiahao Zhang
2025	J	`jnl`	Exploring the Limits of KV Cache Compression in Visual Autoregressive Transformers. CoRR Bo Chen, Xiaoyu Li, Yekun Ke, Yingyu Liang, Zhenmei Shi, Zhao Song
2025	—	`conf`	Fast John Ellipsoid Computation with Differential Privacy Optimization. CPAL Xiaoyu Li, Yingyu Liang, Zhenmei Shi, Zhao Song, Junwei Yu
2025	J	`jnl`	Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling. CoRR Yang Cao, Bo Chen, Xiaoyu Li, Yingyu Liang, Zhizhou Sha, Zhenmei Shi, Zhao Song, Mingda Wan
2025	A*	`conf`	Fundamental Limits of Visual Autoregressive Transformers: Universal Approximation Abilities. ICML Yifang Chen, Xiaoyu Li, Yingyu Liang, Zhenmei Shi, Zhao Song
2025	J	`jnl`	High-Order Matching for One-Step Shortcut Diffusion Models. CoRR Bo Chen, Chengyue Gong, Xiaoyu Li, Yingyu Liang, Zhizhou Sha, Zhenmei Shi, Zhao Song, Mingda Wan
2025	A	`conf`	NRFlow: Towards Noise-Robust Generative Modeling via High-Order Mechanism. UAI Bo Chen, Chengyue Gong, Xiaoyu Li, Yingyu Liang, Zhizhou Sha, Zhenmei Shi, Zhao Song, Mingda Wan, Xugang Ye
2025	J	`jnl`	Neural Algorithmic Reasoning for Hypergraphs with Looped Transformers. CoRR Xiaoyu Li, Yingyu Liang, Jiangxuan Long, Zhenmei Shi, Zhao Song, Zhen Zhuang
2025	J	`jnl`	On Computational Limits and Provably Efficient Criteria of Visual Autoregressive Models: A Fine-Grained Complexity Analysis. CoRR Yekun Ke, Xiaoyu Li, Yingyu Liang, Zhizhou Sha, Zhenmei Shi, Zhao Song
2025	J	`jnl`	On Computational Limits of FlowAR Models: Expressivity and Efficiency. CoRR Chengyue Gong, Yekun Ke, Xiaoyu Li, Yingyu Liang, Zhizhou Sha, Zhenmei Shi, Zhao Song
2025	J	`jnl`	On the Computational Capability of Graph Neural Networks: A Circuit Complexity Bound Perspective. CoRR Xiaoyu Li, Yingyu Liang, Zhenmei Shi, Zhao Song, Wei Wang, Jiahao Zhang
2025	J	`jnl`	RichSpace: Enriching Text-to-Video Prompt Space via Text Embedding Interpolation. CoRR Yuefan Cao, Chengyue Gong, Xiaoyu Li, Yingyu Liang, Zhizhou Sha, Zhenmei Shi, Zhao Song
2025	J	`jnl`	Scaling Law Phenomena Across Regression Paradigms: Multiple and Kernel Approaches. CoRR Yifang Chen, Xuyang Guo, Xiaoyu Li, Yingyu Liang, Zhenmei Shi, Zhao Song
2025	—	`conf`	The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity. CPAL Yifang Chen, Xiaoyu Li, Yingyu Liang, Zhenmei Shi, Zhao Song
2025	J	`jnl`	Theoretical Guarantees for High Order Trajectory Refinement in Generative Flows. CoRR Chengyue Gong, Xiaoyu Li, Yingyu Liang, Jiangxuan Long, Zhenmei Shi, Zhao Song, Yu Tian
2025	J	`jnl`	Time and Memory Trade-off of KV-Cache Compression in Tensor Transformer Decoding. CoRR Yifang Chen, Xiaoyu Li, Yingyu Liang, Zhenmei Shi, Zhao Song, Yu Tian
2025	J	`jnl`	Universal Approximation of Visual Autoregressive Transformers. CoRR Yifang Chen, Xiaoyu Li, Yingyu Liang, Zhenmei Shi, Zhao Song
2024	J	`jnl`	A Tighter Complexity Analysis of SparseGPT. CoRR Xiaoyu Li, Yingyu Liang, Zhenmei Shi, Zhao Song
2024	J	`jnl`	Advancing the Understanding of Fixed Point Iterations in Deep Neural Networks: A Detailed Analytical Study. CoRR Yekun Ke, Xiaoyu Li, Yingyu Liang, Zhenmei Shi, Zhao Song
2024	J	`jnl`	Bypassing the Exponential Dependency: Looped Transformers Efficiently Learn In-context by Multi-step Gradient Descent. CoRR Bo Chen, Xiaoyu Li, Yingyu Liang, Zhenmei Shi, Zhao Song
2024	J	`jnl`	Circuit Complexity Bounds for RoPE-based Transformer Architecture. CoRR Bo Chen, Xiaoyu Li, Yingyu Liang, Jiangxuan Long, Zhenmei Shi, Zhao Song
2024	A	`conf`	DiHAN: A Novel Dynamic Hierarchical Graph Attention Network for Fake News Detection. CIKM Ya-Ting Chang, Zhibo Hu, Xiaoyu Li, Shuiqiao Yang, Jiaojiao Jiang, Nan Sun
2024	J	`jnl`	Fast Gradient Computation for RoPE Attention in Almost Linear Time. CoRR Yifang Chen, Jiayan Huo, Xiaoyu Li, Yingyu Liang, Zhenmei Shi, Zhao Song
2024	J	`jnl`	Fast John Ellipsoid Computation with Differential Privacy Optimization. CoRR Jiuxiang Gu, Xiaoyu Li, Yingyu Liang, Zhenmei Shi, Zhao Song, Junwei Yu
2024	B	`conf`	Fast Second-order Method for Neural Networks under Small Treewidth Setting. IEEE Big Data Xiaoyu Li, Jiangxuan Long, Zhao Song, Tianyi Zhou
2024	B	`conf`	Faster Sampling Algorithms for Polytopes with Small Treewidth. IEEE Big Data Yekun Ke, Xiaoyu Li, Zhao Song, Tianyi Zhou
2024	J	`jnl`	Fine-grained Attention I/O Complexity: Comprehensive Analysis for Backward Passes. CoRR Xiaoyu Li, Yingyu Liang, Zhenmei Shi, Zhao Song, Yufa Zhou
2024	J	`jnl`	Grams: Gradient Descent with Adaptive Momentum Scaling. CoRR Yang Cao, Xiaoyu Li, Zhao Song
2024	J	`jnl`	On the Expressive Power of Modern Hopfield Networks. CoRR Xiaoyu Li, Yuanpeng Li, Yingyu Liang, Zhenmei Shi, Zhao Song
2024	J	`jnl`	Quantum Speedups for Approximating the John Ellipsoid. CoRR Xiaoyu Li, Zhao Song, Junwei Yu
2024	J	`jnl`	The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity. CoRR Yifang Chen, Xiaoyu Li, Yingyu Liang, Zhenmei Shi, Zhao Song
2024	J	`jnl`	Theoretical Constraints on the Expressive Power of RoPE-based Tensor Attention Transformers. CoRR Xiaoyu Li, Yingyu Liang, Zhenmei Shi, Zhao Song, Mingda Wan