Yingyu Liang - RankMe

203 papers A* 34A 17B 2Journal 124Unranked 25

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Novel Pilot Protection for Lines Connecting Battery Energy Storage Stations Based on Current Probability Distribution. IEEE Trans. Ind. Informatics Yingyu Liang, Xiaoyang Yang, Zhichao Meng, Shoudeng Wang
2026	J	`jnl`	Scaling Laws for Precision in High-Dimensional Linear Regression. CoRR Dechen Zhang, Xuan Tang, Yingyu Liang, Difan Zou
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	J	`jnl`	Learning to Inference Adaptively for Multimodal Large Language Models. CoRR Zhuoyan Xu, Khoi Duc Nguyen, Preeti Mukherjee, Saurabh Bagchi, Somali Chaterji, Yingyu Liang, Yin Li
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`	Retrieval-Augmented Generation as Noisy In-Context Learning: A Unified Theory and Risk Bounds. CoRR Yang Guo, Yutian Tao, Yifei Ming, Robert D. Nowak, Yingyu Liang
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`	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
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	J	`jnl`	Interval Forecast Method for Wind Power Based on GCN-GRU. Symmetry Wenting Zha, Xueyan Li, Yijun Du, Yingyu Liang
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	A*	`conf`	Two Heads are Actually Better than One: Towards Better Adversarial Robustness via Transduction and Rejection. ICML Nils Palumbo, Yang Guo, Xi Wu, Jiefeng Chen, Yingyu Liang, Somesh Jha
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	J	`jnl`	An Enhanced Current Differential Protection for AC Transmission Lines Connecting MMC-HVDC Stations. IEEE Syst. J. Yingyu Liang, Yi Ren, Weixuan He
2023	J	`jnl`	Domain Generalization via Nuclear Norm Regularization. CoRR Zhenmei Shi, Yifei Ming, Ying Fan, Frederic Sala, Yingyu Liang
2023	J	`jnl`	Pilot Protection Based on Two-Dimensional Space Projection of Dual Differential Currents for Lines Connecting MMC-HVDC Stations. IEEE Trans. Ind. Electron. Yingyu Liang, Yi Ren, Zhi Zhang
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`	Stratified Adversarial Robustness with Rejection. ICML Jiefeng Chen, Jayaram Raghuram, Jihye Choi, Xi Wu, Yingyu Liang, Somesh Jha
2023	J	`jnl`	Stratified Adversarial Robustness with Rejection. CoRR Jiefeng Chen, Jayaram Raghuram, Jihye Choi, Xi Wu, Yingyu Liang, Somesh Jha
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	J	`jnl`	Two Heads are Better than One: Towards Better Adversarial Robustness by Combining Transduction and Rejection. CoRR Nils Palumbo, Yang Guo, Xi Wu, Jiefeng Chen, Yingyu Liang, Somesh Jha
2023	A*	`conf`	What Knowledge Gets Distilled in Knowledge Distillation? NeurIPS Utkarsh Ojha, Yuheng Li, Anirudh Sundara Rajan, Yingyu Liang, Yong Jae Lee
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
2022	J	`jnl`	On the identifiability of mixtures of ranking models. CoRR Xiaomin Zhang, Xucheng Zhang, Po-Ling Loh, Yingyu Liang
2022	J	`jnl`	Person Re-Identification Combined with Style Transfer and Pose Generation. Int. J. Pattern Recognit. Artif. Intell. Yan Hui, Yingyu Liang, Xiuhua Hu, Xi Wu, Huan Liu
2022	J	`jnl`	Person Re-Identification Method Based on the Construction of Graph Convolutional Network with Attribute Feature. Int. J. Pattern Recognit. Artif. Intell. Xiuhua Hu, Yingyu Liang, Yan Hui, Xi Wu, Huan Liu, Xuyang Hu
2022	J	`jnl`	Siamese Network Object Tracking Algorithm Combining Attention Mechanism and Correlation Filter Theory. Int. J. Pattern Recognit. Artif. Intell. Xiuhua Hu, Huan Liu, Yuan Chen, Yan Hui, Yingyu Liang, Xi Wu
2022	A*	`conf`	Towards Evaluating the Robustness of Neural Networks Learned by Transduction. ICLR Jiefeng Chen, Xi Wu, Yang Guo, Yingyu Liang, Somesh Jha
2021	A	`conf`	A New View of Multi-modal Language Analysis: Audio and Video Features as Text "Styles". EACL Zhongkai Sun, Prathusha Kameswara Sarma, Yingyu Liang, William A. Sethares
2021	—	`conf`	ATOM: Robustifying Out-of-Distribution Detection Using Outlier Mining. ECML/PKDD (3) Jiefeng Chen, Yixuan Li, Xi Wu, Yingyu Liang, Somesh Jha
2021	J	`jnl`	Adaptive Mho Characteristic-Based Distance Protection for Lines Emanating From Photovoltaic Power Plants Under Unbalanced Faults. IEEE Syst. J. Yingyu Liang, Wulin Li, Wenting Zha
2021	J	`jnl`	An Analysis of Attentive Walk-Aggregating Graph Neural Networks. CoRR Mehmet Furkan Demirel, Shengchao Liu, Siddhant Garg, Yingyu Liang
2021	J	`jnl`	Deep Online Fused Video Stabilization. CoRR Zhenmei Shi, Fuhao Shi, Wei-Sheng Lai, Chia-Kai Liang, Yingyu Liang
2021	A*	`conf`	Detecting Errors and Estimating Accuracy on Unlabeled Data with Self-training Ensembles. NeurIPS Jiefeng Chen, Frederick Liu, Besim Avci, Xi Wu, Yingyu Liang, Somesh Jha
2021	J	`jnl`	Detecting Errors and Estimating Accuracy on Unlabeled Data with Self-training Ensembles. CoRR Jiefeng Chen, Frederick Liu, Besim Avci, Xi Wu, Yingyu Liang, Somesh Jha
2021	J	`jnl`	Multi-Scale Anti-Occlusion Correlation Filters Object Tracking Method Based on Complementary Features. Int. J. Pattern Recognit. Artif. Intell. Xiuhua Hu, Yuan Chen, Yan Hui, Yingyu Liang, Guiping Li, Changyuan Wang
2021	J	`jnl`	Towards Adversarial Robustness via Transductive Learning. CoRR Jiefeng Chen, Yang Guo, Xi Wu, Tianqi Li, Qicheng Lao, Yingyu Liang, Somesh Jha
2021	J	`jnl`	Towards Evaluating the Robustness of Neural Networks Learned by Transduction. CoRR Jiefeng Chen, Xi Wu, Yang Guo, Yingyu Liang, Somesh Jha
2020	—	`conf`	Beyond Fine-tuning: Few-Sample Sentence Embedding Transfer. AACL/IJCNLP Siddhant Garg, Rohit Kumar Sharma, Yingyu Liang
2020	A	`conf`	Can Adversarial Weight Perturbations Inject Neural Backdoors. CIKM Siddhant Garg, Adarsh Kumar, Vibhor Goel, Yingyu Liang
2020	J	`jnl`	Can Adversarial Weight Perturbations Inject Neural Backdoors? CoRR Siddhant Garg, Adarsh Kumar, Vibhor Goel, Yingyu Liang
2020	A*	`conf`	Functional Regularization for Representation Learning: A Unified Theoretical Perspective. NeurIPS Siddhant Garg, Yingyu Liang
2020	J	`jnl`	Functional Regularization for Representation Learning: A Unified Theoretical Perspective. CoRR Siddhant Garg, Yingyu Liang
2020	A*	`conf`	Gradients as Features for Deep Representation Learning. ICLR Fangzhou Mu, Yingyu Liang, Yin Li
2020	J	`jnl`	Gradients as Features for Deep Representation Learning. CoRR Fangzhou Mu, Yingyu Liang, Yin Li
2020	A	`conf`	Learning Entangled Single-Sample Distributions via Iterative Trimming. AISTATS Hui Yuan, Yingyu Liang
2020	J	`jnl`	Learning Entangled Single-Sample Distributions via Iterative Trimming. CoRR Hui Yuan, Yingyu Liang
2020	A*	`conf`	Learning Entangled Single-Sample Gaussians in the Subset-of-Signals Model. COLT Yingyu Liang, Hui Yuan
2020	J	`jnl`	Learning Entangled Single-Sample Gaussians in the Subset-of-Signals Model. CoRR Yingyu Liang, Hui Yuan
2020	A*	`conf`	Learning Relationships between Text, Audio, and Video via Deep Canonical Correlation for Multimodal Language Analysis. AAAI Zhongkai Sun, Prathusha Kameswara Sarma, William A. Sethares, Yingyu Liang
2020	—	`conf`	PBoS: Probabilistic Bag-of-Subwords for Generalizing Word Embedding. EMNLP (Findings) Jinman Zhao, Shawn Zhong, Xiaomin Zhang, Yingyu Liang
2020	J	`jnl`	PBoS: Probabilistic Bag-of-Subwords for Generalizing Word Embedding. CoRR Jinman Zhao, Shawn Zhong, Xiaomin Zhang, Yingyu Liang
2020	J	`jnl`	Representation Bayesian Risk Decompositions and Multi-Source Domain Adaptation. CoRR Xi Wu, Yang Guo, Jiefeng Chen, Yingyu Liang, Somesh Jha, Prasad Chalasani
2020	J	`jnl`	Robust Out-of-distribution Detection in Neural Networks. CoRR Jiefeng Chen, Yixuan Li, Xi Wu, Yingyu Liang, Somesh Jha
2020	J	`jnl`	Robust Out-of-distribution Detection via Informative Outlier Mining. CoRR Jiefeng Chen, Yixuan Li, Xi Wu, Yingyu Liang, Somesh Jha
2020	J	`jnl`	SimpleTran: Transferring Pre-Trained Sentence Embeddings for Low Resource Text Classification. CoRR Siddhant Garg, Rohit Kumar Sharma, Yingyu Liang
2020	A	`conf`	Sketching Transformed Matrices with Applications to Natural Language Processing. AISTATS Yingyu Liang, Zhao Song, Mengdi Wang, Lin Yang, Xin Yang
2020	J	`jnl`	Sketching Transformed Matrices with Applications to Natural Language Processing. CoRR Yingyu Liang, Zhao Song, Mengdi Wang, Lin F. Yang, Xin Yang
2019	J	`jnl`	Learning Relationships between Text, Audio, and Video via Deep Canonical Correlation for Multimodal Language Analysis. CoRR Zhongkai Sun, Prathusha Kameswara Sarma, William A. Sethares, Yingyu Liang
2019	A*	`conf`	Learning and Generalization in Overparameterized Neural Networks, Going Beyond Two Layers. NeurIPS Zeyuan Allen-Zhu, Yuanzhi Li, Yingyu Liang
2019	A*	`conf`	Loss-Balanced Task Weighting to Reduce Negative Transfer in Multi-Task Learning. AAAI Shengchao Liu, Yingyu Liang, Anthony Gitter
2019	A*	`conf`	N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules. NeurIPS Shengchao Liu, Mehmet Furkan Demirel, Yingyu Liang
2019	J	`jnl`	Non-Convex Matrix Completion and Related Problems via Strong Duality. J. Mach. Learn. Res. Maria-Florina Balcan, Yingyu Liang, Zhao Song, David P. Woodruff, Hongyang Zhang
2019	A	`conf`	Recovery Guarantees For Quadratic Tensors With Sparse Observations. AISTATS Hongyang Zhang, Vatsal Sharan, Moses Charikar, Yingyu Liang
2019	A*	`conf`	Robust Attribution Regularization. NeurIPS Jiefeng Chen, Xi Wu, Vaibhav Rastogi, Yingyu Liang, Somesh Jha
2019	J	`jnl`	Robust Attribution Regularization. CoRR Jiefeng Chen, Xi Wu, Vaibhav Rastogi, Yingyu Liang, Somesh Jha
2019	—	`conf`	Shallow Domain Adaptive Embeddings for Sentiment Analysis. EMNLP/IJCNLP (1) Prathusha Kameswara Sarma, Yingyu Liang, William A. Sethares
2019	J	`jnl`	Shallow Domain Adaptive Embeddings for Sentiment Analysis. CoRR Prathusha Kameswara Sarma, Yingyu Liang, William A. Sethares
2019	A	`conf`	Towards Understanding Limitations of Pixel Discretization Against Adversarial Attacks. EuroS&P Jiefeng Chen, Xi Wu, Vaibhav Rastogi, Yingyu Liang, Somesh Jha
2018	—	`conf`	A La Carte Embedding: Cheap but Effective Induction of Semantic Feature Vectors. ACL (1) Mikhail Khodak, Nikunj Saunshi, Yingyu Liang, Tengyu Ma, Brandon Stewart, Sanjeev Arora
2018	J	`jnl`	A La Carte Embedding: Cheap but Effective Induction of Semantic Feature Vectors. CoRR Mikhail Khodak, Nikunj Saunshi, Yingyu Liang, Tengyu Ma, Brandon Stewart, Sanjeev Arora
2018	—	`conf`	Domain Adapted Word Embeddings for Improved Sentiment Classification. DeepLo@ACL Prathusha Kameswara Sarma, Yingyu Liang, Bill Sethares
2018	—	`conf`	Domain Adapted Word Embeddings for Improved Sentiment Classification. ACL (2) Prathusha Kameswara Sarma, Yingyu Liang, Bill Sethares
2018	J	`jnl`	Domain Adapted Word Embeddings for Improved Sentiment Classification. CoRR Prathusha Kameswara Sarma, Yingyu Liang, William A. Sethares
2018	A*	`conf`	Generalizing Word Embeddings using Bag of Subwords. EMNLP Jinman Zhao, Sidharth Mudgal, Yingyu Liang
2018	J	`jnl`	Generalizing Word Embeddings using Bag of Subwords. CoRR Jinman Zhao, Sidharth Mudgal, Yingyu Liang
2018	J	`jnl`	Improving Adversarial Robustness by Data-Specific Discretization. CoRR Jiefeng Chen, Xi Wu, Yingyu Liang, Somesh Jha
2018	A*	`conf`	Learning Mixtures of Linear Regressions with Nearly Optimal Complexity. COLT Yuanzhi Li, Yingyu Liang
2018	J	`jnl`	Learning Mixtures of Linear Regressions with Nearly Optimal Complexity. CoRR Yuanzhi Li, Yingyu Liang
2018	A*	`conf`	Learning Overparameterized Neural Networks via Stochastic Gradient Descent on Structured Data. NeurIPS Yuanzhi Li, Yingyu Liang
2018	J	`jnl`	Learning Overparameterized Neural Networks via Stochastic Gradient Descent on Structured Data. CoRR Yuanzhi Li, Yingyu Liang
2018	J	`jnl`	Learning and Generalization in Overparameterized Neural Networks, Going Beyond Two Layers. CoRR Zeyuan Allen-Zhu, Yuanzhi Li, Yingyu Liang
2018	J	`jnl`	Linear Algebraic Structure of Word Senses, with Applications to Polysemy. Trans. Assoc. Comput. Linguistics Sanjeev Arora, Yuanzhi Li, Yingyu Liang, Tengyu Ma, Andrej Risteski
2018	J	`jnl`	Mapping between fMRI responses to movies and their natural language annotations. NeuroImage Kiran Vodrahalli, Po-Hsuan Chen, Yingyu Liang, Christopher Baldassano, Janice Chen, Esther Yong, Christopher J. Honey, Uri Hasson, Peter J. Ramadge, Kenneth A. Norman, Sanjeev Arora
2018	A	`conf`	Matrix Completion and Related Problems via Strong Duality. ITCS Maria-Florina Balcan, Yingyu Liang, David P. Woodruff, Hongyang Zhang
2018	J	`jnl`	N-Gram Graph, A Novel Molecule Representation. CoRR Shengchao Liu, Thevaa Chandereng, Yingyu Liang
2018	J	`jnl`	Recovery Guarantees for Quadratic Tensors with Limited Observations. CoRR Hongyang Zhang, Vatsal Sharan, Moses Charikar, Yingyu Liang
2017	—	`conf`	A Simple but Tough-to-Beat Baseline for Sentence Embeddings. ICLR (Poster) Sanjeev Arora, Yingyu Liang, Tengyu Ma
2017	A*	`conf`	Differentially Private Clustering in High-Dimensional Euclidean Spaces. ICML Maria-Florina Balcan, Travis Dick, Yingyu Liang, Wenlong Mou, Hongyang Zhang
2017	A	`conf`	Diverse Neural Network Learns True Target Functions. AISTATS Bo Xie, Yingyu Liang, Le Song
2017	A*	`conf`	Generalization and Equilibrium in Generative Adversarial Nets (GANs). ICML Sanjeev Arora, Rong Ge, Yingyu Liang, Tengyu Ma, Yi Zhang
2017	J	`jnl`	Generalization and Equilibrium in Generative Adversarial Nets (GANs). CoRR Sanjeev Arora, Rong Ge, Yingyu Liang, Tengyu Ma, Yi Zhang
2017	J	`jnl`	Optimal Sample Complexity for Matrix Completion and Related Problems via 𝓁s CoRR Maria-Florina Balcan, Yingyu Liang, David P. Woodruff, Hongyang Zhang
2017	A*	`conf`	Provable Alternating Gradient Descent for Non-negative Matrix Factorization with Strong Correlations. ICML Yuanzhi Li, Yingyu Liang
2017	J	`jnl`	Provable Alternating Gradient Descent for Non-negative Matrix Factorization with Strong Correlations. CoRR Yuanzhi Li, Yingyu Liang
2017	J	`jnl`	Scalable Influence Maximization for Multiple Products in Continuous-Time Diffusion Networks. J. Mach. Learn. Res. Nan Du, Yingyu Liang, Maria-Florina Balcan, Manuel Gomez-Rodriguez, Hongyuan Zha, Le Song
2016	J	`jnl`	A Latent Variable Model Approach to PMI-based Word Embeddings. Trans. Assoc. Comput. Linguistics Sanjeev Arora, Yuanzhi Li, Yingyu Liang, Tengyu Ma, Andrej Risteski
2016	J	`jnl`	Clustering under Perturbation Resilience. SIAM J. Comput. Maria-Florina Balcan, Yingyu Liang
2016	A*	`conf`	Communication Efficient Distributed Kernel Principal Component Analysis. KDD Maria-Florina Balcan, Yingyu Liang, Le Song, David P. Woodruff, Bo Xie
2016	J	`jnl`	Diversity Leads to Generalization in Neural Networks. CoRR Bo Xie, Yingyu Liang, Le Song
2016	B	`conf`	Learning in indefinite proximity spaces - recent trends. ESANN Frank-Michael Schleif, Peter Tiño, Yingyu Liang
2016	J	`jnl`	Linear Algebraic Structure of Word Senses, with Applications to Polysemy. CoRR Sanjeev Arora, Yuanzhi Li, Yingyu Liang, Tengyu Ma, Andrej Risteski
2016	J	`jnl`	Mapping Between Natural Movie fMRI Responses and Word-Sequence Representations. CoRR Kiran Vodrahalli, Po-Hsuan Chen, Yingyu Liang, Janice Chen, Esther Yong, Christopher J. Honey, Peter J. Ramadge, Kenneth A. Norman, Sanjeev Arora
2016	—	`conf`	Recovery Guarantee of Non-negative Matrix Factorization via Alternating Updates. NIPS Yuanzhi Li, Yingyu Liang, Andrej Risteski
2016	J	`jnl`	Recovery Guarantee of Non-negative Matrix Factorization via Alternating Updates. CoRR Yuanzhi Li, Yingyu Liang, Andrej Risteski
2016	A*	`conf`	Recovery guarantee of weighted low-rank approximation via alternating minimization. ICML Yuanzhi Li, Yingyu Liang, Andrej Risteski
2016	J	`jnl`	Recovery guarantee of weighted low-rank approximation via alternating minimization. CoRR Yuanzhi Li, Yingyu Liang, Andrej Risteski
2016	J	`jnl`	Scalable Influence Maximization for Multiple Products in Continuous-Time Diffusion Networks. CoRR Nan Du, Yingyu Liang, Maria-Florina Balcan, Manuel Gomez-Rodriguez, Hongyuan Zha, Le Song
2015	A	`conf`	A Distributed Frank-Wolfe Algorithm for Communication-Efficient Sparse Learning. SDM Aurélien Bellet, Yingyu Liang, Alireza Bagheri Garakani, Maria-Florina Balcan, Fei Sha
2015	J	`jnl`	Distributed Kernel Principal Component Analysis. CoRR Maria-Florina Balcan, Yingyu Liang, Le Song, David P. Woodruff, Bo Xie
2015	J	`jnl`	Random Walks on Context Spaces: Towards an Explanation of the Mysteries of Semantic Word Embeddings. CoRR Sanjeev Arora, Yuanzhi Li, Yingyu Liang, Tengyu Ma, Andrej Risteski
2015	—	`conf`	Scale Up Nonlinear Component Analysis with Doubly Stochastic Gradients. NIPS Bo Xie, Yingyu Liang, Le Song
2015	J	`jnl`	Scale Up Nonlinear Component Analysis with Doubly Stochastic Gradients. CoRR Bo Xie, Yingyu Liang, Le Song
2015	J	`jnl`	Why are deep nets reversible: A simple theory, with implications for training. CoRR Sanjeev Arora, Yingyu Liang, Tengyu Ma
2014	J	`jnl`	Distributed Frank-Wolfe Algorithm: A Unified Framework for Communication-Efficient Sparse Learning. CoRR Aurélien Bellet, Yingyu Liang, Alireza Bagheri Garakani, Maria-Florina Balcan, Fei Sha
2014	—	`conf`	Improved Distributed Principal Component Analysis. NIPS Yingyu Liang, Maria-Florina Balcan, Vandana Kanchanapally, David P. Woodruff
2014	J	`jnl`	Improved Distributed Principal Component Analysis. CoRR Maria-Florina Balcan, Vandana Kanchanapally, Yingyu Liang, David P. Woodruff
2014	A*	`conf`	Influence Function Learning in Information Diffusion Networks. ICML Nan Du, Yingyu Liang, Maria-Florina Balcan, Le Song
2014	—	`conf`	Learning Time-Varying Coverage Functions. NIPS Nan Du, Yingyu Liang, Maria-Florina Balcan, Le Song
2014	—	`—`	Modern aspects of unsupervised learning. Yingyu Liang
2014	J	`jnl`	Robust Hierarchical Clustering. CoRR Maria-Florina Balcan, Yingyu Liang, Pramod Gupta
2014	J	`jnl`	Robust hierarchical clustering. J. Mach. Learn. Res. Maria-Florina Balcan, Yingyu Liang, Pramod Gupta
2014	—	`conf`	Scalable Kernel Methods via Doubly Stochastic Gradients. NIPS Bo Dai, Bo Xie, Niao He, Yingyu Liang, Anant Raj, Maria-Florina Balcan, Le Song
2014	J	`jnl`	Scalable Kernel Methods via Doubly Stochastic Gradients. CoRR Bo Dai, Bo Xie, Niao He, Yingyu Liang, Anant Raj, Maria-Florina Balcan, Le Song
2013	J	`jnl`	Continuous-Time Influence Maximization for Multiple Items. CoRR Nan Du, Yingyu Liang, Maria-Florina Balcan, Le Song
2013	J	`jnl`	Distributed Clustering on Graphs. CoRR Maria-Florina Balcan, Steven Ehrlich, Yingyu Liang
2013	—	`conf`	Distributed k-means and k-median clustering on general communication topologies. NIPS Maria-Florina Balcan, Steven Ehrlich, Yingyu Liang
2013	—	`conf`	Efficient Semi-supervised and Active Learning of Disjunctions. ICML (1) Nina Balcan, Christopher Berlind, Steven Ehrlich, Yingyu Liang
2013	—	`conf`	Modeling and Detecting Community Hierarchies. SIMBAD Maria-Florina Balcan, Yingyu Liang
2012	—	`conf`	Clustering under Perturbation Resilience. ICALP (1) Maria-Florina Balcan, Yingyu Liang
2011	J	`jnl`	Clustering under Perturbation Resilience CoRR Maria-Florina Balcan, Yingyu Liang
2010	B	`conf`	Learning Vocabulary-Based Hashing with AdaBoost. MMM Yingyu Liang, Jianmin Li, Bo Zhang
2009	—	`conf`	THU-IMG at TRECVID 2009. TRECVID Yingyu Liang, Binbin Cao, Jianmin Li, Chenguang Zhu, Yongchao Zhang, Chenhao Tan, Ge Chen, Chen Sun, Jinhui Yuan, Mingxing Xu, Bo Zhang
2009	A*	`conf`	Vocabulary-based hashing for image search. ACM Multimedia Yingyu Liang, Jianmin Li, Bo Zhang
2008	—	`conf`	THU and ICRC at TRECVID 2008. TRECVID Yingyu Liang, Xiaobing Liu, Zhikun Wang, Jianmin Li, Binbin Cao, Zhichao Cao, Zhenlong Dai, Zhishan Guo, Wen Li, Leigang Luo, Zhaoshi Meng, Yinfeng Qin, Qiu Shi, Aibo Tian, Dong Wang, Qiuping Wang, Chenguang Zhu, Xiaolin Hu, Jinhui Yuan, Peijiang Yuan, Bo Zhang, Shi Chen, Jianguo Li, Tao Wang, Yimin Zhang