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2020 – today
- 2024
[c60]Zhuoyan Xu, Zhenmei Shi, Junyi Wei, Fangzhou Mu, Yin Li, Yingyu Liang:
Towards Few-Shot Adaptation of Foundation Models via Multitask Finetuning. ICLR 2024- [c59]Nils Palumbo, Yang Guo, Xi Wu, Jiefeng Chen, Yingyu Liang, Somesh Jha:
Two Heads are Actually Better than One: Towards Better Adversarial Robustness via Transduction and Rejection. ICML 2024 - [c58]Zhenmei Shi, Junyi Wei, Zhuoyan Xu, Yingyu Liang:
Why Larger Language Models Do In-context Learning Differently? ICML 2024 - [i71]Jiuxiang Gu, Chenyang Li, Yingyu Liang, Zhenmei Shi, Zhao Song, Tianyi Zhou:
Fourier Circuits in Neural Networks: Unlocking the Potential of Large Language Models in Mathematical Reasoning and Modular Arithmetic. CoRR abs/2402.09469 (2024) - [i70]Zhuoyan Xu, Zhenmei Shi, Junyi Wei, Fangzhou Mu, Yin Li, Yingyu Liang:
Towards Few-Shot Adaptation of Foundation Models via Multitask Finetuning. CoRR abs/2402.15017 (2024) - [i69]Jiuxiang Gu, Chenyang Li, Yingyu Liang, Zhenmei Shi, Zhao Song:
Exploring the Frontiers of Softmax: Provable Optimization, Applications in Diffusion Model, and Beyond. CoRR abs/2405.03251 (2024) - [i68]Jiuxiang Gu, Yingyu Liang, Heshan Liu, Zhenmei Shi, Zhao Song, Junze Yin:
Conv-Basis: A New Paradigm for Efficient Attention Inference and Gradient Computation in Transformers. CoRR abs/2405.05219 (2024) - [i67]Jiuxiang Gu, Yingyu Liang, Zhenmei Shi, Zhao Song, Yufa Zhou:
Tensor Attention Training: Provably Efficient Learning of Higher-order Transformers. CoRR abs/2405.16411 (2024) - [i66]Jiuxiang Gu, Yingyu Liang, Zhenmei Shi, Zhao Song, Yufa Zhou:
Unraveling the Smoothness Properties of Diffusion Models: A Gaussian Mixture Perspective. CoRR abs/2405.16418 (2024) - [i65]Zhenmei Shi, Junyi Wei, Zhuoyan Xu, Yingyu Liang:
Why Larger Language Models Do In-context Learning Differently? CoRR abs/2405.19592 (2024) - [i64]Jiuxiang Gu, Yingyu Liang, Zhenmei Shi, Zhao Song, Chiwun Yang:
Toward Infinite-Long Prefix in Transformer. CoRR abs/2406.14036 (2024) - [i63]Jiuxiang Gu, Yingyu Liang, Zhizhou Sha, Zhenmei Shi, Zhao Song:
Differential Privacy Mechanisms in Neural Tangent Kernel Regression. CoRR abs/2407.13621 (2024) - [i62]Jiuxiang Gu, Yingyu Liang, Zhenmei Shi, Zhao Song, Yufa Zhou:
Differential Privacy of Cross-Attention with Provable Guarantee. CoRR abs/2407.14717 (2024) - [i61]Zhuoyan Xu, Zhenmei Shi, Yingyu Liang:
Do Large Language Models Have Compositional Ability? An Investigation into Limitations and Scalability. CoRR abs/2407.15720 (2024) - [i60]Jiuxiang Gu, Xiaoyu Li, Yingyu Liang, Zhenmei Shi, Zhao Song, Junwei Yu:
Fast John Ellipsoid Computation with Differential Privacy Optimization. CoRR abs/2408.06395 (2024) - [i59]Xiaoyu Li, Yingyu Liang, Zhenmei Shi, Zhao Song:
A Tighter Complexity Analysis of SparseGPT. CoRR abs/2408.12151 (2024) - [i58]Yingyu Liang, Zhizhou Sha, Zhenmei Shi, Zhao Song, Yufa Zhou:
Multi-Layer Transformers Gradient Can be Approximated in Almost Linear Time. CoRR abs/2408.13233 (2024) - [i57]Zhenmei Shi, Yifei Ming, Xuan-Phi Nguyen, Yingyu Liang, Shafiq Joty:
Discovering the Gems in Early Layers: Accelerating Long-Context LLMs with 1000x Input Token Reduction. CoRR abs/2409.17422 (2024) - 2023
- [j15]Yingyu Liang
, Yi Ren, Weixuan He:
An Enhanced Current Differential Protection for AC Transmission Lines Connecting MMC-HVDC Stations. IEEE Syst. J. 17(1): 892-903 (2023) - [j14]Yingyu Liang, Yi Ren, Zhi Zhang:
Pilot Protection Based on Two-Dimensional Space Projection of Dual Differential Currents for Lines Connecting MMC-HVDC Stations. IEEE Trans. Ind. Electron. 70(5): 4356-4368 (2023) - [c57]Zhenmei Shi, Jiefeng Chen, Kunyang Li, Jayaram Raghuram, Xi Wu, Yingyu Liang, Somesh Jha:
The Trade-off between Universality and Label Efficiency of Representations from Contrastive Learning. ICLR 2023 - [c56]Jiefeng Chen, Jayaram Raghuram, Jihye Choi, Xi Wu, Yingyu Liang, Somesh Jha:
Stratified Adversarial Robustness with Rejection. ICML 2023: 4867-4894 - [c55]Yiyou Sun, Zhenmei Shi, Yingyu Liang, Yixuan Li:
When and How Does Known Class Help Discover Unknown Ones? Provable Understanding Through Spectral Analysis. ICML 2023: 33014-33043 - [c54]Utkarsh Ojha, Yuheng Li, Anirudh Sundara Rajan, Yingyu Liang, Yong Jae Lee:
What Knowledge Gets Distilled in Knowledge Distillation? NeurIPS 2023 - [c53]Zhenmei Shi, Junyi Wei, Yingyu Liang:
Provable Guarantees for Neural Networks via Gradient Feature Learning. NeurIPS 2023 - [i56]Zhenmei Shi, Jiefeng Chen, Kunyang Li, Jayaram Raghuram, Xi Wu, Yingyu Liang, Somesh Jha:
The Trade-off between Universality and Label Efficiency of Representations from Contrastive Learning. CoRR abs/2303.00106 (2023) - [i55]Zhenmei Shi, Yifei Ming, Ying Fan, Frederic Sala, Yingyu Liang:
Domain Generalization via Nuclear Norm Regularization. CoRR abs/2303.07527 (2023) - [i54]Jiefeng Chen, Jayaram Raghuram, Jihye Choi, Xi Wu, Yingyu Liang, Somesh Jha:
Stratified Adversarial Robustness with Rejection. CoRR abs/2305.01139 (2023) - [i53]Nils Palumbo, Yang Guo, Xi Wu, Jiefeng Chen, Yingyu Liang, Somesh Jha:
Two Heads are Better than One: Towards Better Adversarial Robustness by Combining Transduction and Rejection. CoRR abs/2305.17528 (2023) - [i52]Yiyou Sun, Zhenmei Shi, Yingyu Liang, Yixuan Li:
When and How Does Known Class Help Discover Unknown Ones? Provable Understanding Through Spectral Analysis. CoRR abs/2308.05017 (2023) - [i51]Zhenmei Shi, Junyi Wei, Yingyu Liang:
Provable Guarantees for Neural Networks via Gradient Feature Learning. CoRR abs/2310.12408 (2023) - 2022
- [j13]Xiuhua Hu, Huan Liu, Yuan Chen, Yan Hui, Yingyu Liang, Xi Wu:
Siamese Network Object Tracking Algorithm Combining Attention Mechanism and Correlation Filter Theory. Int. J. Pattern Recognit. Artif. Intell. 36(1): 2250003:1-2250003:19 (2022) - [j12]Yan Hui, Yingyu Liang, Xiuhua Hu, Xi Wu, Huan Liu:
Person Re-Identification Combined with Style Transfer and Pose Generation. Int. J. Pattern Recognit. Artif. Intell. 36(2): 2256003:1-2256003:18 (2022) - [j11]Xiuhua Hu, Yingyu Liang, Yan Hui, Xi Wu, Huan Liu, Xuyang Hu:
Person Re-Identification Method Based on the Construction of Graph Convolutional Network with Attribute Feature. Int. J. Pattern Recognit. Artif. Intell. 36(12): 2256019:1-2256019:20 (2022) - [j10]Mehmet Furkan Demirel, Shengchao Liu, Siddhant Garg, Zhenmei Shi, Yingyu Liang:
Attentive Walk-Aggregating Graph Neural Networks. Trans. Mach. Learn. Res. 2022 (2022) - [c52]Jiefeng Chen, Xi Wu, Yang Guo, Yingyu Liang, Somesh Jha:
Towards Evaluating the Robustness of Neural Networks Learned by Transduction. ICLR 2022 - [c51]Zhenmei Shi, Junyi Wei, Yingyu Liang:
A Theoretical Analysis on Feature Learning in Neural Networks: Emergence from Inputs and Advantage over Fixed Features. ICLR 2022 - [c50]Zhenmei Shi, Fuhao Shi, Wei-Sheng Lai, Chia-Kai Liang, Yingyu Liang:
Deep Online Fused Video Stabilization. WACV 2022: 865-873 - [i50]Xiaomin Zhang, Xucheng Zhang, Po-Ling Loh, Yingyu Liang:
On the identifiability of mixtures of ranking models. CoRR abs/2201.13132 (2022) - [i49]Zhenmei Shi, Junyi Wei, Yingyu Liang:
A Theoretical Analysis on Feature Learning in Neural Networks: Emergence from Inputs and Advantage over Fixed Features. CoRR abs/2206.01717 (2022) - 2021
- [j9]Xiuhua Hu, Yuan Chen, Yan Hui, Yingyu Liang, Guiping Li, Changyuan Wang:
Multi-Scale Anti-Occlusion Correlation Filters Object Tracking Method Based on Complementary Features. Int. J. Pattern Recognit. Artif. Intell. 35(2): 2155002:1-2155002:19 (2021) - [j8]Yingyu Liang, Wulin Li, Wenting Zha:
Adaptive Mho Characteristic-Based Distance Protection for Lines Emanating From Photovoltaic Power Plants Under Unbalanced Faults. IEEE Syst. J. 15(3): 3506-3516 (2021) - [c49]Zhongkai Sun, Prathusha Kameswara Sarma, Yingyu Liang, William A. Sethares:
A New View of Multi-modal Language Analysis: Audio and Video Features as Text "Styles". EACL 2021: 1956-1965 - [c48]Jiefeng Chen, Frederick Liu, Besim Avci, Xi Wu, Yingyu Liang, Somesh Jha:
Detecting Errors and Estimating Accuracy on Unlabeled Data with Self-training Ensembles. NeurIPS 2021: 14980-14992 - [c47]Jiefeng Chen, Yixuan Li, Xi Wu, Yingyu Liang, Somesh Jha:
ATOM: Robustifying Out-of-Distribution Detection Using Outlier Mining. ECML/PKDD (3) 2021: 430-445 - [i48]Zhenmei Shi, Fuhao Shi, Wei-Sheng Lai, Chia-Kai Liang, Yingyu Liang:
Deep Online Fused Video Stabilization. CoRR abs/2102.01279 (2021) - [i47]Jiefeng Chen, Yang Guo, Xi Wu, Tianqi Li, Qicheng Lao, Yingyu Liang, Somesh Jha:
Towards Adversarial Robustness via Transductive Learning. CoRR abs/2106.08387 (2021) - [i46]Jiefeng Chen, Frederick Liu, Besim Avci, Xi Wu, Yingyu Liang, Somesh Jha:
Detecting Errors and Estimating Accuracy on Unlabeled Data with Self-training Ensembles. CoRR abs/2106.15728 (2021) - [i45]Mehmet Furkan Demirel, Shengchao Liu, Siddhant Garg, Yingyu Liang:
An Analysis of Attentive Walk-Aggregating Graph Neural Networks. CoRR abs/2110.02667 (2021) - [i44]Jiefeng Chen, Xi Wu, Yang Guo, Yingyu Liang, Somesh Jha:
Towards Evaluating the Robustness of Neural Networks Learned by Transduction. CoRR abs/2110.14735 (2021) - 2020
- [c46]Zhongkai Sun, Prathusha Kameswara Sarma, William A. Sethares, Yingyu Liang:
Learning Relationships between Text, Audio, and Video via Deep Canonical Correlation for Multimodal Language Analysis. AAAI 2020: 8992-8999 - [c45]Yingyu Liang, Zhao Song, Mengdi Wang, Lin Yang, Xin Yang:
Sketching Transformed Matrices with Applications to Natural Language Processing. AISTATS 2020: 467-481 - [c44]Hui Yuan, Yingyu Liang:
Learning Entangled Single-Sample Distributions via Iterative Trimming. AISTATS 2020: 2666-2676 - [c43]Siddhant Garg, Adarsh Kumar, Vibhor Goel, Yingyu Liang:
Can Adversarial Weight Perturbations Inject Neural Backdoors. CIKM 2020: 2029-2032 - [c42]Yingyu Liang, Hui Yuan:
Learning Entangled Single-Sample Gaussians in the Subset-of-Signals Model. COLT 2020: 2712-2737 - [c41]Jinman Zhao, Shawn Zhong, Xiaomin Zhang, Yingyu Liang:
PBoS: Probabilistic Bag-of-Subwords for Generalizing Word Embedding. EMNLP (Findings) 2020: 596-611 - [c40]Fangzhou Mu, Yingyu Liang, Yin Li:
Gradients as Features for Deep Representation Learning. ICLR 2020 - [c39]Siddhant Garg, Rohit Kumar Sharma, Yingyu Liang:
Beyond Fine-tuning: Few-Sample Sentence Embedding Transfer. AACL/IJCNLP 2020: 460-469 - [c38]Siddhant Garg, Yingyu Liang:
Functional Regularization for Representation Learning: A Unified Theoretical Perspective. NeurIPS 2020 - [i43]Yingyu Liang, Zhao Song, Mengdi Wang, Lin F. Yang, Xin Yang:
Sketching Transformed Matrices with Applications to Natural Language Processing. CoRR abs/2002.09812 (2020) - [i42]Jiefeng Chen, Yixuan Li, Xi Wu, Yingyu Liang, Somesh Jha:
Robust Out-of-distribution Detection in Neural Networks. CoRR abs/2003.09711 (2020) - [i41]Siddhant Garg, Rohit Kumar Sharma, Yingyu Liang:
SimpleTran: Transferring Pre-Trained Sentence Embeddings for Low Resource Text Classification. CoRR abs/2004.05119 (2020) - [i40]Fangzhou Mu, Yingyu Liang, Yin Li:
Gradients as Features for Deep Representation Learning. CoRR abs/2004.05529 (2020) - [i39]Hui Yuan, Yingyu Liang:
Learning Entangled Single-Sample Distributions via Iterative Trimming. CoRR abs/2004.09563 (2020) - [i38]Xi Wu, Yang Guo, Jiefeng Chen, Yingyu Liang, Somesh Jha, Prasad Chalasani:
Representation Bayesian Risk Decompositions and Multi-Source Domain Adaptation. CoRR abs/2004.10390 (2020) - [i37]Jiefeng Chen, Yixuan Li, Xi Wu, Yingyu Liang, Somesh Jha:
Robust Out-of-distribution Detection via Informative Outlier Mining. CoRR abs/2006.15207 (2020) - [i36]Yingyu Liang, Hui Yuan:
Learning Entangled Single-Sample Gaussians in the Subset-of-Signals Model. CoRR abs/2007.05557 (2020) - [i35]Siddhant Garg, Adarsh Kumar, Vibhor Goel, Yingyu Liang:
Can Adversarial Weight Perturbations Inject Neural Backdoors? CoRR abs/2008.01761 (2020) - [i34]Siddhant Garg, Yingyu Liang:
Functional Regularization for Representation Learning: A Unified Theoretical Perspective. CoRR abs/2008.02447 (2020) - [i33]Jinman Zhao, Shawn Zhong, Xiaomin Zhang, Yingyu Liang:
PBoS: Probabilistic Bag-of-Subwords for Generalizing Word Embedding. CoRR abs/2010.10813 (2020)
2010 – 2019
- 2019
- [j7]Maria-Florina Balcan, Yingyu Liang, Zhao Song, David P. Woodruff, Hongyang Zhang:
Non-Convex Matrix Completion and Related Problems via Strong Duality. J. Mach. Learn. Res. 20: 102:1-102:56 (2019) - [c37]Shengchao Liu, Yingyu Liang, Anthony Gitter:
Loss-Balanced Task Weighting to Reduce Negative Transfer in Multi-Task Learning. AAAI 2019: 9977-9978 - [c36]Hongyang Zhang, Vatsal Sharan, Moses Charikar, Yingyu Liang:
Recovery Guarantees For Quadratic Tensors With Sparse Observations. AISTATS 2019: 3322-3332 - [c35]Prathusha Kameswara Sarma, Yingyu Liang, William A. Sethares:
Shallow Domain Adaptive Embeddings for Sentiment Analysis. EMNLP/IJCNLP (1) 2019: 5548-5557 - [c34]Jiefeng Chen, Xi Wu, Vaibhav Rastogi, Yingyu Liang, Somesh Jha:
Towards Understanding Limitations of Pixel Discretization Against Adversarial Attacks. EuroS&P 2019: 480-495 - [c33]Zeyuan Allen-Zhu, Yuanzhi Li, Yingyu Liang:
Learning and Generalization in Overparameterized Neural Networks, Going Beyond Two Layers. NeurIPS 2019: 6155-6166 - [c32]Shengchao Liu, Mehmet Furkan Demirel, Yingyu Liang:
N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules. NeurIPS 2019: 8464-8476 - [c31]Jiefeng Chen, Xi Wu, Vaibhav Rastogi, Yingyu Liang, Somesh Jha:
Robust Attribution Regularization. NeurIPS 2019: 14300-14310 - [i32]Jiefeng Chen, Xi Wu, Vaibhav Rastogi, Yingyu Liang, Somesh Jha:
Robust Attribution Regularization. CoRR abs/1905.09957 (2019) - [i31]Prathusha Kameswara Sarma, Yingyu Liang, William A. Sethares:
Shallow Domain Adaptive Embeddings for Sentiment Analysis. CoRR abs/1908.06082 (2019) - [i30]Zhongkai Sun, Prathusha Kameswara Sarma, William A. Sethares, Yingyu Liang:
Learning Relationships between Text, Audio, and Video via Deep Canonical Correlation for Multimodal Language Analysis. CoRR abs/1911.05544 (2019) - 2018
- [j6]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:
Mapping between fMRI responses to movies and their natural language annotations. NeuroImage 180(Part): 223-231 (2018) - [j5]Sanjeev Arora, Yuanzhi Li, Yingyu Liang, Tengyu Ma, Andrej Risteski:
Linear Algebraic Structure of Word Senses, with Applications to Polysemy. Trans. Assoc. Comput. Linguistics 6: 483-495 (2018) - [c30]Mikhail Khodak, Nikunj Saunshi, Yingyu Liang, Tengyu Ma, Brandon Stewart, Sanjeev Arora:
A La Carte Embedding: Cheap but Effective Induction of Semantic Feature Vectors. ACL (1) 2018: 12-22 - [c29]Prathusha Kameswara Sarma, Yingyu Liang, Bill Sethares:
Domain Adapted Word Embeddings for Improved Sentiment Classification. ACL (2) 2018: 37-42 - [c28]Prathusha Kameswara Sarma, Yingyu Liang, Bill Sethares:
Domain Adapted Word Embeddings for Improved Sentiment Classification. DeepLo@ACL 2018: 51-59 - [c27]Yuanzhi Li, Yingyu Liang:
Learning Mixtures of Linear Regressions with Nearly Optimal Complexity. COLT 2018: 1125-1144 - [c26]Jinman Zhao, Sidharth Mudgal, Yingyu Liang:
Generalizing Word Embeddings using Bag of Subwords. EMNLP 2018: 601-606 - [c25]Maria-Florina Balcan, Yingyu Liang, David P. Woodruff, Hongyang Zhang:
Matrix Completion and Related Problems via Strong Duality. ITCS 2018: 5:1-5:22 - [c24]Yuanzhi Li, Yingyu Liang:
Learning Overparameterized Neural Networks via Stochastic Gradient Descent on Structured Data. NeurIPS 2018: 8168-8177 - [i29]Yuanzhi Li, Yingyu Liang:
Learning Mixtures of Linear Regressions with Nearly Optimal Complexity. CoRR abs/1802.07895 (2018) - [i28]Prathusha Kameswara Sarma, Yingyu Liang, William A. Sethares:
Domain Adapted Word Embeddings for Improved Sentiment Classification. CoRR abs/1805.04576 (2018) - [i27]Mikhail Khodak, Nikunj Saunshi, Yingyu Liang, Tengyu Ma, Brandon Stewart, Sanjeev Arora:
A La Carte Embedding: Cheap but Effective Induction of Semantic Feature Vectors. CoRR abs/1805.05388 (2018) - [i26]Jiefeng Chen, Xi Wu, Yingyu Liang, Somesh Jha:
Improving Adversarial Robustness by Data-Specific Discretization. CoRR abs/1805.07816 (2018) - [i25]Shengchao Liu, Thevaa Chandereng, Yingyu Liang:
N-Gram Graph, A Novel Molecule Representation. CoRR abs/1806.09206 (2018) - [i24]Yuanzhi Li, Yingyu Liang:
Learning Overparameterized Neural Networks via Stochastic Gradient Descent on Structured Data. CoRR abs/1808.01204 (2018) - [i23]Jinman Zhao, Sidharth Mudgal, Yingyu Liang:
Generalizing Word Embeddings using Bag of Subwords. CoRR abs/1809.04259 (2018) - [i22]Hongyang Zhang, Vatsal Sharan, Moses Charikar, Yingyu Liang:
Recovery Guarantees for Quadratic Tensors with Limited Observations. CoRR abs/1811.00148 (2018) - [i21]Zeyuan Allen-Zhu, Yuanzhi Li, Yingyu Liang:
Learning and Generalization in Overparameterized Neural Networks, Going Beyond Two Layers. CoRR abs/1811.04918 (2018) - 2017
- [j4]Nan Du, Yingyu Liang, Maria-Florina Balcan, Manuel Gomez-Rodriguez, Hongyuan Zha, Le Song:
Scalable Influence Maximization for Multiple Products in Continuous-Time Diffusion Networks. J. Mach. Learn. Res. 18: 2:1-2:45 (2017) - [c23]Bo Xie, Yingyu Liang, Le Song:
Diverse Neural Network Learns True Target Functions. AISTATS 2017: 1216-1224 - [c22]Sanjeev Arora, Yingyu Liang, Tengyu Ma:
A Simple but Tough-to-Beat Baseline for Sentence Embeddings. ICLR (Poster) 2017 - [c21]Sanjeev Arora, Rong Ge, Yingyu Liang, Tengyu Ma, Yi Zhang:
Generalization and Equilibrium in Generative Adversarial Nets (GANs). ICML 2017: 224-232 - [c20]Maria-Florina Balcan, Travis Dick, Yingyu Liang, Wenlong Mou, Hongyang Zhang:
Differentially Private Clustering in High-Dimensional Euclidean Spaces. ICML 2017: 322-331 - [c19]Yuanzhi Li, Yingyu Liang:
Provable Alternating Gradient Descent for Non-negative Matrix Factorization with Strong Correlations. ICML 2017: 2062-2070 - [i20]Sanjeev Arora, Rong Ge, Yingyu Liang, Tengyu Ma, Yi Zhang:
Generalization and Equilibrium in Generative Adversarial Nets (GANs). CoRR abs/1703.00573 (2017) - [i19]Maria-Florina Balcan, Yingyu Liang, David P. Woodruff, Hongyang Zhang:
Optimal Sample Complexity for Matrix Completion and Related Problems via 𝓁s2-Regularization. CoRR abs/1704.08683 (2017) - [i18]Yuanzhi Li, Yingyu Liang:
Provable Alternating Gradient Descent for Non-negative Matrix Factorization with Strong Correlations. CoRR abs/1706.04097 (2017) - 2016
- [j3]Maria-Florina Balcan, Yingyu Liang:
Clustering under Perturbation Resilience. SIAM J. Comput. 45(1): 102-155 (2016) - [j2]Sanjeev Arora, Yuanzhi Li, Yingyu Liang, Tengyu Ma, Andrej Risteski:
A Latent Variable Model Approach to PMI-based Word Embeddings. Trans. Assoc. Comput. Linguistics 4: 385-399 (2016) - [c18]Frank-Michael Schleif, Peter Tiño, Yingyu Liang:
Learning in indefinite proximity spaces - recent trends. ESANN 2016 - [c17]Yuanzhi Li, Yingyu Liang, Andrej Risteski:
Recovery guarantee of weighted low-rank approximation via alternating minimization. ICML 2016: 2358-2367 - [c16]Maria-Florina Balcan, Yingyu Liang, Le Song, David P. Woodruff, Bo Xie:
Communication Efficient Distributed Kernel Principal Component Analysis. KDD 2016: 725-734 - [c15]Yuanzhi Li, Yingyu Liang, Andrej Risteski:
Recovery Guarantee of Non-negative Matrix Factorization via Alternating Updates. NIPS 2016: 4988-4996 - [i17]Sanjeev Arora, Yuanzhi Li, Yingyu Liang, Tengyu Ma, Andrej Risteski:
Linear Algebraic Structure of Word Senses, with Applications to Polysemy. CoRR abs/1601.03764 (2016) - [i16]Yuanzhi Li, Yingyu Liang, Andrej Risteski:
Recovery guarantee of weighted low-rank approximation via alternating minimization. CoRR abs/1602.02262 (2016) - [i15]Kiran Vodrahalli, Po-Hsuan Chen, Yingyu Liang, Janice Chen, Esther Yong, Christopher J. Honey, Peter J. Ramadge, Kenneth A. Norman, Sanjeev Arora:
Mapping Between Natural Movie fMRI Responses and Word-Sequence Representations. CoRR abs/1610.03914 (2016) - [i14]Bo Xie, Yingyu Liang, Le Song:
Diversity Leads to Generalization in Neural Networks. CoRR abs/1611.03131 (2016) - [i13]Yuanzhi Li, Yingyu Liang, Andrej Risteski:
Recovery Guarantee of Non-negative Matrix Factorization via Alternating Updates. CoRR abs/1611.03819 (2016) - [i12]Nan Du, Yingyu Liang, Maria-Florina Balcan, Manuel Gomez-Rodriguez, Hongyuan Zha, Le Song:
Scalable Influence Maximization for Multiple Products in Continuous-Time Diffusion Networks. CoRR abs/1612.02712 (2016) - 2015
- [c14]Bo Xie, Yingyu Liang, Le Song:
Scale Up Nonlinear Component Analysis with Doubly Stochastic Gradients. NIPS 2015: 2341-2349 - [c13]Aurélien Bellet, Yingyu Liang, Alireza Bagheri Garakani, Maria-Florina Balcan, Fei Sha:
A Distributed Frank-Wolfe Algorithm for Communication-Efficient Sparse Learning. SDM 2015: 478-486 - [i11]Sanjeev Arora, Yuanzhi Li, Yingyu Liang, Tengyu Ma, Andrej Risteski:
Random Walks on Context Spaces: Towards an Explanation of the Mysteries of Semantic Word Embeddings. CoRR abs/1502.03520 (2015) - [i10]Maria-Florina Balcan, Yingyu Liang, Le Song, David P. Woodruff, Bo Xie:
Distributed Kernel Principal Component Analysis. CoRR abs/1503.06858 (2015) - [i9]Bo Xie, Yingyu Liang, Le Song:
Scale Up Nonlinear Component Analysis with Doubly Stochastic Gradients. CoRR abs/1504.03655 (2015) - [i8]Sanjeev Arora, Yingyu Liang, Tengyu Ma:
Why are deep nets reversible: A simple theory, with implications for training. CoRR abs/1511.05653 (2015) - 2014
- [b1]Yingyu Liang:
Modern aspects of unsupervised learning. Georgia Institute of Technology, Atlanta, GA, USA, 2014 - [j1]Maria-Florina Balcan, Yingyu Liang, Pramod Gupta:
Robust hierarchical clustering. J. Mach. Learn. Res. 15(1): 3831-3871 (2014) - [c12]Nan Du, Yingyu Liang, Maria-Florina Balcan, Le Song:
Influence Function Learning in Information Diffusion Networks. ICML 2014: 2016-2024 - [c11]Bo Dai, Bo Xie, Niao He, Yingyu Liang, Anant Raj, Maria-Florina Balcan, Le Song:
Scalable Kernel Methods via Doubly Stochastic Gradients. NIPS 2014: 3041-3049 - [c10]Yingyu Liang, Maria-Florina Balcan, Vandana Kanchanapally, David P. Woodruff:
Improved Distributed Principal Component Analysis. NIPS 2014: 3113-3121 - [c9]Nan Du, Yingyu Liang, Maria-Florina Balcan, Le Song:
Learning Time-Varying Coverage Functions. NIPS 2014: 3374-3382 - [i7]Maria-Florina Balcan, Yingyu Liang, Pramod Gupta:
Robust Hierarchical Clustering. CoRR abs/1401.0247 (2014) - [i6]Aurélien Bellet, Yingyu Liang, Alireza Bagheri Garakani, Maria-Florina Balcan, Fei Sha:
Distributed Frank-Wolfe Algorithm: A Unified Framework for Communication-Efficient Sparse Learning. CoRR abs/1404.2644 (2014) - [i5]Bo Dai, Bo Xie, Niao He, Yingyu Liang, Anant Raj, Maria-Florina Balcan, Le Song:
Scalable Kernel Methods via Doubly Stochastic Gradients. CoRR abs/1407.5599 (2014) - [i4]Maria-Florina Balcan, Vandana Kanchanapally, Yingyu Liang, David P. Woodruff:
Improved Distributed Principal Component Analysis. CoRR abs/1408.5823 (2014) - 2013
- [c8]Nina Balcan, Christopher Berlind, Steven Ehrlich, Yingyu Liang:
Efficient Semi-supervised and Active Learning of Disjunctions. ICML (1) 2013: 633-641 - [c7]Maria-Florina Balcan, Steven Ehrlich, Yingyu Liang:
Distributed k-means and k-median clustering on general communication topologies. NIPS 2013: 1995-2003 - [c6]Maria-Florina Balcan, Yingyu Liang:
Modeling and Detecting Community Hierarchies. SIMBAD 2013: 160-175 - [i3]Maria-Florina Balcan, Steven Ehrlich, Yingyu Liang:
Distributed Clustering on Graphs. CoRR abs/1306.0604 (2013) - [i2]Nan Du, Yingyu Liang, Maria-Florina Balcan, Le Song:
Continuous-Time Influence Maximization for Multiple Items. CoRR abs/1312.2164 (2013) - 2012
- [c5]Maria-Florina Balcan, Yingyu Liang:
Clustering under Perturbation Resilience. ICALP (1) 2012: 63-74 - 2011
- [i1]Maria-Florina Balcan, Yingyu Liang:
Clustering under Perturbation Resilience. CoRR abs/1112.0826 (2011) - 2010
- [c4]Yingyu Liang, Jianmin Li, Bo Zhang:
Learning Vocabulary-Based Hashing with AdaBoost. MMM 2010: 545-555
2000 – 2009
- 2009
- [c3]Yingyu Liang, Jianmin Li, Bo Zhang:
Vocabulary-based hashing for image search. ACM Multimedia 2009: 589-592 - [c2]Yingyu Liang, Binbin Cao, Jianmin Li, Chenguang Zhu, Yongchao Zhang, Chenhao Tan, Ge Chen, Chen Sun, Jinhui Yuan, Mingxing Xu, Bo Zhang:
THU-IMG at TRECVID 2009. TRECVID 2009 - 2008
- [c1]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:
THU and ICRC at TRECVID 2008. TRECVID 2008
Coauthor Index
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