Zhenmei Shi - RankMe

91 papers A* 13A 8Journal 64Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Beyond Linear Approximations: A Novel Pruning Approach for Attention Matrix. ICLR Yingyu Liang, Jiangxuan Long, Zhenmei Shi, Zhao Song, Yufa Zhou
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`	Can Language Models Compose Skills In-Context? CoRR Zidong Liu, Zhuoyan Xu, Zhenmei Shi, Yingyu Liang
2025	J	`jnl`	Can You Count to Nine? A Human Evaluation Benchmark for Counting Limits in Modern Text-to-Video Models. CoRR Xuyang Guo, Zekai Huang, Jiayan Huo, Yingyu Liang, Zhenmei Shi, Zhao Song, Jiahao Zhang
2025	A*	`conf`	Circuit Complexity Bounds for RoPE-based Transformer Architecture. EMNLP Bo Chen, Xiaoyu Li, Yingyu Liang, Jiangxuan Long, Zhenmei Shi, Zhao Song, Jiahao Zhang
2025	J	`jnl`	Circuit Complexity Bounds for Visual Autoregressive Model. CoRR Yekun Ke, Xiaoyu Li, Yingyu Liang, Zhenmei Shi, Zhao Song
2025	—	`conf`	Conv-Basis: A New Paradigm for Efficient Attention Inference and Gradient Computation in Transformers. EMNLP (Findings) Yingyu Liang, Heshan Liu, Zhenmei Shi, Zhao Song, Zhuoyan Xu, Jiale Zhao, Zhen Zhuang
2025	—	`conf`	Curse of Attention: A Kernel-Based Perspective for Why Transformers Fail to Generalize on Time Series Forecasting and Beyond. CPAL Yekun Ke, Yingyu Liang, Zhenmei Shi, Zhao Song, Chiwun Yang
2025	J	`jnl`	DPBloomfilter: Securing Bloom Filters with Differential Privacy. CoRR Yekun Ke, Yingyu Liang, Zhizhou Sha, Zhenmei Shi, Zhao Song
2025	A	`conf`	Differential Privacy Mechanisms in Neural Tangent Kernel Regression. WACV Jiuxiang Gu, Yingyu Liang, Zhizhou Sha, 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	A	`conf`	Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling. CIKM Yang Cao, Bo Chen, Xiaoyu Li, Yingyu Liang, Zhizhou Sha, Zhenmei Shi, Zhao Song, Mingda Wan
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`	Fourier Circuits in Neural Networks and Transformers: A Case Study of Modular Arithmetic with Multiple Inputs. AISTATS Chenyang Li, Yingyu Liang, Zhenmei Shi, Zhao Song, Tianyi Zhou
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`	HOFAR: High-Order Augmentation of Flow Autoregressive Transformers. CoRR Yingyu Liang, Zhizhou Sha, Zhenmei Shi, Zhao Song, Mingda Wan
2025	—	`conf`	HSR-Enhanced Sparse Attention Acceleration. CPAL Bo Chen, Yingyu Liang, Zhizhou Sha, 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	J	`jnl`	Kernel Regression in Structured Non-IID Settings: Theory and Implications for Denoising Score Learning. CoRR Dechen Zhang, Zhenmei Shi, Yi Zhang, Yingyu Liang, Difan Zou
2025	A	`conf`	Looped ReLU MLPs May Be All You Need as Practical Programmable Computers. AISTATS Yingyu Liang, Zhizhou Sha, Zhenmei Shi, Zhao Song, Yufa Zhou
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`	Provable Failure of Language Models in Learning Majority Boolean Logic via Gradient Descent. CoRR Bo Chen, Zhenmei Shi, Zhao Song, 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	J	`jnl`	T2VPhysBench: A First-Principles Benchmark for Physical Consistency in Text-to-Video Generation. CoRR Xuyang Guo, Jiayan Huo, Zhenmei Shi, Zhao Song, Jiahao Zhang, Jiale Zhao
2025	J	`jnl`	T2VTextBench: A Human Evaluation Benchmark for Textual Control in Video Generation Models. CoRR Xuyang Guo, Jiayan Huo, Zhenmei Shi, Zhao Song, Jiahao Zhang, Jiale Zhao
2025	J	`jnl`	T2VWorldBench: A Benchmark for Evaluating World Knowledge in Text-to-Video Generation. CoRR Yubin Chen, Xuyang Guo, Zhenmei Shi, Zhao Song, Jiahao Zhang
2025	J	`jnl`	Text-to-Image Diffusion Models Cannot Count, and Prompt Refinement Cannot Help. CoRR Yuefan Cao, Xuyang Guo, Jiayan Huo, Yingyu Liang, Zhenmei Shi, Zhao Song, Jiahao Zhang, Zhen Zhuang
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	A*	`conf`	Towards Infinite-Long Prefix in Transformer. EMNLP Yingyu Liang, Zhenmei Shi, Zhao Song, Chiwun Yang
2025	J	`jnl`	Universal Approximation of Visual Autoregressive Transformers. CoRR Yifang Chen, Xiaoyu Li, Yingyu Liang, Zhenmei Shi, Zhao Song
2025	A	`conf`	When Can We Solve the Weighted Low Rank Approximation Problem in Truly Subquadratic Time? AISTATS Chenyang Li, Yingyu Liang, Zhenmei Shi, Zhao Song
2025	J	`jnl`	When Can We Solve the Weighted Low Rank Approximation Problem in Truly Subquadratic Time? CoRR Chenyang Li, Yingyu Liang, Zhenmei Shi, Zhao Song
2025	J	`jnl`	Your Vision-Language Model Can't Even Count to 20: Exposing the Failures of VLMs in Compositional Counting. CoRR Xuyang Guo, Zekai Huang, Zhenmei Shi, Zhao Song, Jiahao Zhang
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`	Beyond Linear Approximations: A Novel Pruning Approach for Attention Matrix. CoRR Yingyu Liang, Jiangxuan Long, Zhenmei Shi, Zhao Song, Yufa Zhou
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	J	`jnl`	Conv-Basis: A New Paradigm for Efficient Attention Inference and Gradient Computation in Transformers. CoRR Jiuxiang Gu, Yingyu Liang, Heshan Liu, Zhenmei Shi, Zhao Song, Junze Yin
2024	J	`jnl`	Curse of Attention: A Kernel-Based Perspective for Why Transformers Fail to Generalize on Time Series Forecasting and Beyond. CoRR Yekun Ke, Yingyu Liang, Zhenmei Shi, Zhao Song, Chiwun Yang
2024	J	`jnl`	Differential Privacy Mechanisms in Neural Tangent Kernel Regression. CoRR Jiuxiang Gu, Yingyu Liang, Zhizhou Sha, Zhenmei Shi, Zhao Song
2024	J	`jnl`	Differential Privacy of Cross-Attention with Provable Guarantee. CoRR Jiuxiang Gu, Yingyu Liang, Zhenmei Shi, Zhao Song, Yufa Zhou
2024	J	`jnl`	Discovering the Gems in Early Layers: Accelerating Long-Context LLMs with 1000x Input Token Reduction. CoRR Zhenmei Shi, Yifei Ming, Xuan-Phi Nguyen, Yingyu Liang, Shafiq Joty
2024	J	`jnl`	Do Large Language Models Have Compositional Ability? An Investigation into Limitations and Scalability. CoRR Zhuoyan Xu, Zhenmei Shi, Yingyu Liang
2024	—	`conf`	Domain Generalization via Nuclear Norm Regularization. CPAL Zhenmei Shi, Yifei Ming, Ying Fan, Frederic Sala, Yingyu Liang
2024	J	`jnl`	Exploring the Frontiers of Softmax: Provable Optimization, Applications in Diffusion Model, and Beyond. CoRR Jiuxiang Gu, Chenyang Li, Yingyu Liang, Zhenmei Shi, Zhao Song
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	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`	Fourier Circuits in Neural Networks: Unlocking the Potential of Large Language Models in Mathematical Reasoning and Modular Arithmetic. CoRR Jiuxiang Gu, Chenyang Li, Yingyu Liang, Zhenmei Shi, Zhao Song, Tianyi Zhou
2024	J	`jnl`	HSR-Enhanced Sparse Attention Acceleration. CoRR Bo Chen, Yingyu Liang, Zhizhou Sha, Zhenmei Shi, Zhao Song
2024	A*	`conf`	Is A Picture Worth A Thousand Words? Delving Into Spatial Reasoning for Vision Language Models. NeurIPS Jiayu Wang, Yifei Ming, Zhenmei Shi, Vibhav Vineet, Xin Wang, Sharon Li, Neel Joshi
2024	J	`jnl`	Is A Picture Worth A Thousand Words? Delving Into Spatial Reasoning for Vision Language Models. CoRR Jiayu Wang, Yifei Ming, Zhenmei Shi, Vibhav Vineet, Xin Wang, Neel Joshi
2024	J	`jnl`	Looped ReLU MLPs May Be All You Need as Practical Programmable Computers. CoRR Yingyu Liang, Zhizhou Sha, Zhenmei Shi, Zhao Song, Yufa Zhou
2024	J	`jnl`	Multi-Layer Transformers Gradient Can be Approximated in Almost Linear Time. CoRR Yingyu Liang, Zhizhou Sha, Zhenmei Shi, Zhao Song, Yufa Zhou
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`	Tensor Attention Training: Provably Efficient Learning of Higher-order Transformers. CoRR Jiuxiang Gu, Yingyu Liang, Zhenmei Shi, Zhao Song, Yufa Zhou
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
2024	J	`jnl`	Toward Infinite-Long Prefix in Transformer. CoRR Jiuxiang Gu, Yingyu Liang, Zhenmei Shi, Zhao Song, Chiwun Yang
2024	A*	`conf`	Towards Few-Shot Adaptation of Foundation Models via Multitask Finetuning. ICLR Zhuoyan Xu, Zhenmei Shi, Junyi Wei, Fangzhou Mu, Yin Li, Yingyu Liang
2024	J	`jnl`	Towards Few-Shot Adaptation of Foundation Models via Multitask Finetuning. CoRR Zhuoyan Xu, Zhenmei Shi, Junyi Wei, Fangzhou Mu, Yin Li, Yingyu Liang
2024	J	`jnl`	Unraveling the Smoothness Properties of Diffusion Models: A Gaussian Mixture Perspective. CoRR Jiuxiang Gu, Yingyu Liang, Zhenmei Shi, Zhao Song, Yufa Zhou
2024	A*	`conf`	Why Larger Language Models Do In-context Learning Differently? ICML Zhenmei Shi, Junyi Wei, Zhuoyan Xu, Yingyu Liang
2024	J	`jnl`	Why Larger Language Models Do In-context Learning Differently? CoRR Zhenmei Shi, Junyi Wei, Zhuoyan Xu, Yingyu Liang
2023	A*	`conf`	A Graph-Theoretic Framework for Understanding Open-World Semi-Supervised Learning. NeurIPS Yiyou Sun, Zhenmei Shi, Yixuan Li
2023	J	`jnl`	A Graph-Theoretic Framework for Understanding Open-World Semi-Supervised Learning. CoRR Yiyou Sun, Zhenmei Shi, Yixuan Li
2023	J	`jnl`	Domain Generalization via Nuclear Norm Regularization. CoRR Zhenmei Shi, Yifei Ming, Ying Fan, Frederic Sala, Yingyu Liang
2023	A*	`conf`	Provable Guarantees for Neural Networks via Gradient Feature Learning. NeurIPS Zhenmei Shi, Junyi Wei, Yingyu Liang
2023	J	`jnl`	Provable Guarantees for Neural Networks via Gradient Feature Learning. CoRR Zhenmei Shi, Junyi Wei, Yingyu Liang
2023	A*	`conf`	The Trade-off between Universality and Label Efficiency of Representations from Contrastive Learning. ICLR Zhenmei Shi, Jiefeng Chen, Kunyang Li, Jayaram Raghuram, Xi Wu, Yingyu Liang, Somesh Jha
2023	J	`jnl`	The Trade-off between Universality and Label Efficiency of Representations from Contrastive Learning. CoRR Zhenmei Shi, Jiefeng Chen, Kunyang Li, Jayaram Raghuram, Xi Wu, Yingyu Liang, Somesh Jha
2023	A*	`conf`	When and How Does Known Class Help Discover Unknown Ones? Provable Understanding Through Spectral Analysis. ICML Yiyou Sun, Zhenmei Shi, Yingyu Liang, Yixuan Li
2023	J	`jnl`	When and How Does Known Class Help Discover Unknown Ones? Provable Understanding Through Spectral Analysis. CoRR Yiyou Sun, Zhenmei Shi, Yingyu Liang, Yixuan Li
2022	A*	`conf`	A Theoretical Analysis on Feature Learning in Neural Networks: Emergence from Inputs and Advantage over Fixed Features. ICLR Zhenmei Shi, Junyi Wei, Yingyu Liang
2022	J	`jnl`	A Theoretical Analysis on Feature Learning in Neural Networks: Emergence from Inputs and Advantage over Fixed Features. CoRR Zhenmei Shi, Junyi Wei, Yingyu Liang
2022	J	`jnl`	Attentive Walk-Aggregating Graph Neural Networks. Trans. Mach. Learn. Res. Mehmet Furkan Demirel, Shengchao Liu, Siddhant Garg, Zhenmei Shi, Yingyu Liang
2022	A	`conf`	Deep Online Fused Video Stabilization. WACV Zhenmei Shi, Fuhao Shi, Wei-Sheng Lai, Chia-Kai Liang, Yingyu Liang
2021	J	`jnl`	Deep Online Fused Video Stabilization. CoRR Zhenmei Shi, Fuhao Shi, Wei-Sheng Lai, Chia-Kai Liang, Yingyu Liang
2019	J	`jnl`	DAWN: Dual Augmented Memory Network for Unsupervised Video Object Tracking. CoRR Zhenmei Shi, Haoyang Fang, Yu-Wing Tai, Chi-Keung Tang
2019	J	`jnl`	SF-Net: Structured Feature Network for Continuous Sign Language Recognition. CoRR Zhaoyang Yang, Zhenmei Shi, Xiaoyong Shen, Yu-Wing Tai