Chong You - RankMe

81 papers A* 26A 1Misc 1Journal 49Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Autoregressive Ranking: Bridging the Gap Between Dual and Cross Encoders. CoRR Benjamin Rozonoyer, Chong You, Michael Boratko, Himanshu Jain, Nilesh Gupta, Srinadh Bhojanapalli, Andrew McCallum, Felix Yu
2025	A	`conf`	Efficient and Asymptotically Unbiased Constrained Decoding for Large Language Models. AISTATS Haotian Ye, Himanshu Jain, Chong You, Ananda Theertha Suresh, Haowei Lin, James Zou, Felix X. Yu
2025	J	`jnl`	Efficient and Asymptotically Unbiased Constrained Decoding for Large Language Models. CoRR Haotian Ye, Himanshu Jain, Chong You, Ananda Theertha Suresh, Haowei Lin, James Zou, Felix X. Yu
2025	J	`jnl`	Hierarchical Retrieval: The Geometry and a Pretrain-Finetune Recipe. CoRR Chong You, Rajesh Jayaram, Ananda Theertha Suresh, Robin Nittka, Felix X. Yu, Sanjiv Kumar
2025	J	`jnl`	Scalable In-context Ranking with Generative Models. CoRR Nilesh Gupta, Chong You, Srinadh Bhojanapalli, Sanjiv Kumar, Inderjit S. Dhillon, Felix X. Yu
2025	J	`jnl`	Spark Transformer: Reactivating Sparsity in FFN and Attention. CoRR Chong You, Kan Wu, Zhipeng Jia, Lin Chen, Srinadh Bhojanapalli, Jiaxian Guo, Utku Evci, Jan Wassenberg, Praneeth Netrapalli, Jeremiah J. Willcock, Suvinay Subramanian, Felix Chern, Alek Andreev, Shreya Pathak, Felix X. Yu, Prateek Jain, David E. Culler, Henry M. Levy, Sanjiv Kumar
2024	—	`conf`	Deep Self-expressive Learning. CPAL Chen Zhao, Chun-Guang Li, Wei He, Chong You
2024	A*	`conf`	Functional Interpolation for Relative Positions improves Long Context Transformers. ICLR Shanda Li, Chong You, Guru Guruganesh, Joshua Ainslie, Santiago Ontañón, Manzil Zaheer, Sumit Sanghai, Yiming Yang, Sanjiv Kumar, Srinadh Bhojanapalli
2024	A*	`conf`	Generalized Neural Collapse for a Large Number of Classes. ICML Jiachen Jiang, Jinxin Zhou, Peng Wang, Qing Qu, Dustin G. Mixon, Chong You, Zhihui Zhu
2024	J	`jnl`	HiRE: High Recall Approximate Top-k Estimation for Efficient LLM Inference. CoRR Yashas Samaga, Varun Yerram, Chong You, Srinadh Bhojanapalli, Sanjiv Kumar, Prateek Jain, Praneeth Netrapalli
2024	A*	`conf`	On Bias-Variance Alignment in Deep Models. ICLR Lin Chen, Michal Lukasik, Wittawat Jitkrittum, Chong You, Sanjiv Kumar
2023	J	`jnl`	An Approximated Collapsed Variational Bayes Approach to Variable Selection in Linear Regression. J. Comput. Graph. Stat. Chong You, John T. Ormerod, Xiangyang Li, Cheng Heng Pang, Xiao-Hua Zhou
2023	J	`jnl`	Functional Interpolation for Relative Positions Improves Long Context Transformers. CoRR Shanda Li, Chong You, Guru Guruganesh, Joshua Ainslie, Santiago Ontañón, Manzil Zaheer, Sumit Sanghai, Yiming Yang, Sanjiv Kumar, Srinadh Bhojanapalli
2023	J	`jnl`	Generalized Neural Collapse for a Large Number of Classes. CoRR Jiachen Jiang, Jinxin Zhou, Peng Wang, Qing Qu, Dustin G. Mixon, Chong You, Zhihui Zhu
2023	J	`jnl`	It's an Alignment, Not a Trade-off: Revisiting Bias and Variance in Deep Models. CoRR Lin Chen, Michal Lukasik, Wittawat Jitkrittum, Chong You, Sanjiv Kumar
2023	A*	`conf`	Teacher Guided Training: An Efficient Framework for Knowledge Transfer. ICLR Manzil Zaheer, Ankit Singh Rawat, Seungyeon Kim, Chong You, Himanshu Jain, Andreas Veit, Rob Fergus, Sanjiv Kumar
2023	A*	`conf`	The Lazy Neuron Phenomenon: On Emergence of Activation Sparsity in Transformers. ICLR Zonglin Li, Chong You, Srinadh Bhojanapalli, Daliang Li, Ankit Singh Rawat, Sashank J. Reddi, Ke Ye, Felix Chern, Felix X. Yu, Ruiqi Guo, Sanjiv Kumar
2022	A*	`conf`	Are All Losses Created Equal: A Neural Collapse Perspective. NeurIPS Jinxin Zhou, Chong You, Xiao Li, Kangning Liu, Sheng Liu, Qing Qu, Zhihui Zhu
2022	J	`jnl`	Are All Losses Created Equal: A Neural Collapse Perspective. CoRR Jinxin Zhou, Chong You, Xiao Li, Kangning Liu, Sheng Liu, Qing Qu, Zhihui Zhu
2022	J	`jnl`	Integration of Computer Virtual Reality Technology to College Physical Education. J. Web Eng. Yuhuan Feng, Chong You, Yanbing Li, Ya Zhang, Qingxia Wang
2022	J	`jnl`	Large Models are Parsimonious Learners: Activation Sparsity in Trained Transformers. CoRR Zonglin Li, Chong You, Srinadh Bhojanapalli, Daliang Li, Ankit Singh Rawat, Sashank J. Reddi, Ke Ye, Felix Chern, Felix X. Yu, Ruiqi Guo, Sanjiv Kumar
2022	A*	`conf`	On the Optimization Landscape of Neural Collapse under MSE Loss: Global Optimality with Unconstrained Features. ICML Jinxin Zhou, Xiao Li, Tianyu Ding, Chong You, Qing Qu, Zhihui Zhu
2022	J	`jnl`	On the Optimization Landscape of Neural Collapse under MSE Loss: Global Optimality with Unconstrained Features. CoRR Jinxin Zhou, Xiao Li, Tianyu Ding, Chong You, Qing Qu, Zhihui Zhu
2022	J	`jnl`	Recovery and Generalization in Over-Realized Dictionary Learning. J. Mach. Learn. Res. Jeremias Sulam, Chong You, Zhihui Zhu
2022	J	`jnl`	ReduNet: A White-box Deep Network from the Principle of Maximizing Rate Reduction. J. Mach. Learn. Res. Kwan Ho Ryan Chan, Yaodong Yu, Chong You, Haozhi Qi, John Wright, Yi Ma
2022	A*	`conf`	Revisiting Sparse Convolutional Model for Visual Recognition. NeurIPS Xili Dai, Mingyang Li, Pengyuan Zhai, Shengbang Tong, Xingjian Gao, Shao-Lun Huang, Zhihui Zhu, Chong You, Yi Ma
2022	J	`jnl`	Revisiting Sparse Convolutional Model for Visual Recognition. CoRR Xili Dai, Mingyang Li, Pengyuan Zhai, Shengbang Tong, Xingjian Gao, Shao-Lun Huang, Zhihui Zhu, Chong You, Yi Ma
2022	A*	`conf`	Robust Training under Label Noise by Over-parameterization. ICML Sheng Liu, Zhihui Zhu, Qing Qu, Chong You
2022	J	`jnl`	Robust Training under Label Noise by Over-parameterization. CoRR Sheng Liu, Zhihui Zhu, Qing Qu, Chong You
2022	J	`jnl`	Self-Representation Based Unsupervised Exemplar Selection in a Union of Subspaces. IEEE Trans. Pattern Anal. Mach. Intell. Chong You, Chi Li, Daniel P. Robinson, René Vidal
2022	J	`jnl`	Teacher Guided Training: An Efficient Framework for Knowledge Transfer. CoRR Manzil Zaheer, Ankit Singh Rawat, Seungyeon Kim, Chong You, Himanshu Jain, Andreas Veit, Rob Fergus, Sanjiv Kumar
2021	A*	`conf`	A Critique of Self-Expressive Deep Subspace Clustering. ICLR Benjamin David Haeffele, Chong You, René Vidal
2021	A*	`conf`	A Geometric Analysis of Neural Collapse with Unconstrained Features. NeurIPS Zhihui Zhu, Tianyu Ding, Jinxin Zhou, Xiao Li, Chong You, Jeremias Sulam, Qing Qu
2021	J	`jnl`	A Geometric Analysis of Neural Collapse with Unconstrained Features. CoRR Zhihui Zhu, Tianyu Ding, Jinxin Zhou, Xiao Li, Chong You, Jeremias Sulam, Qing Qu
2021	A*	`conf`	A Nullspace Property for Subspace-Preserving Recovery. ICML Mustafa Devrim Kaba, Chong You, Daniel P. Robinson, Enrique Mallada, René Vidal
2021	J	`jnl`	A novel attention-guided convolutional network for the detection of abnormal cervical cells in cervical cancer screening. Medical Image Anal. Lei Cao, Jinying Yang, Zhiwei Rong, Lulu Li, Bairong Xia, Chong You, Ge Lou, Lei Jiang, Chun Du, Hongxue Meng, Wenjie Wang, Meng Wang, Kang Li, Yan Hou
2021	A*	`conf`	Convolutional Normalization: Improving Deep Convolutional Network Robustness and Training. NeurIPS Sheng Liu, Xiao Li, Yuexiang Zhai, Chong You, Zhihui Zhu, Carlos Fernandez-Granda, Qing Qu
2021	J	`jnl`	Convolutional Normalization: Improving Deep Convolutional Network Robustness and Training. CoRR Sheng Liu, Xiao Li, Yuexiang Zhai, Chong You, Zhihui Zhu, Carlos Fernandez-Granda, Qing Qu
2021	A*	`conf`	Incremental Learning via Rate Reduction. CVPR Ziyang Wu, Christina Baek, Chong You, Yi Ma
2021	A*	`conf`	Learning a Self-Expressive Network for Subspace Clustering. CVPR Shangzhi Zhang, Chong You, René Vidal, Chun-Guang Li
2021	J	`jnl`	Learning a Self-Expressive Network for Subspace Clustering. CoRR Shangzhi Zhang, Chong You, René Vidal, Chun-Guang Li
2021	J	`jnl`	ReduNet: A White-box Deep Network from the Principle of Maximizing Rate Reduction. CoRR Kwan Ho Ryan Chan, Yaodong Yu, Chong You, Haozhi Qi, John Wright, Yi Ma
2020	J	`jnl`	A Critique of Self-Expressive Deep Subspace Clustering. CoRR Benjamin D. Haeffele, Chong You, René Vidal
2020	J	`jnl`	Analysis of the Relationship between Scintillation Parameters, Multipath and ROTI. Sensors Chendong Li, Craig M. Hancock, Nicholas A. S. Hamm, Sreeja Vadakke Veettil, Chong You
2020	A*	`conf`	Deep Isometric Learning for Visual Recognition. ICML Haozhi Qi, Chong You, Xiaolong Wang, Yi Ma, Jitendra Malik
2020	J	`jnl`	Deep Isometric Learning for Visual Recognition. CoRR Haozhi Qi, Chong You, Xiaolong Wang, Yi Ma, Jitendra Malik
2020	J	`jnl`	Deep Networks from the Principle of Rate Reduction. CoRR Kwan Ho Ryan Chan, Yaodong Yu, Chong You, Haozhi Qi, John Wright, Yi Ma
2020	J	`jnl`	Incremental Learning via Rate Reduction. CoRR Ziyang Wu, Christina Baek, Chong You, Yi Ma
2020	J	`jnl`	Is an Affine Constraint Needed for Affine Subspace Clustering? CoRR Chong You, Chun-Guang Li, Daniel P. Robinson, René Vidal
2020	A*	`conf`	Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction. NeurIPS Yaodong Yu, Kwan Ho Ryan Chan, Chong You, Chaobing Song, Yi Ma
2020	J	`jnl`	Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction. CoRR Yaodong Yu, Kwan Ho Ryan Chan, Chong You, Chaobing Song, Yi Ma
2020	J	`jnl`	Recovery and Generalization in Over-Realized Dictionary Learning. CoRR Jeremias Sulam, Chong You, Zhihui Zhu
2020	A*	`conf`	Rethinking Bias-Variance Trade-off for Generalization of Neural Networks. ICML Zitong Yang, Yaodong Yu, Chong You, Jacob Steinhardt, Yi Ma
2020	J	`jnl`	Rethinking Bias-Variance Trade-off for Generalization of Neural Networks. CoRR Zitong Yang, Yaodong Yu, Chong You, Jacob Steinhardt, Yi Ma
2020	A*	`conf`	Robust Recovery via Implicit Bias of Discrepant Learning Rates for Double Over-parameterization. NeurIPS Chong You, Zhihui Zhu, Qing Qu, Yi Ma
2020	J	`jnl`	Robust Recovery via Implicit Bias of Discrepant Learning Rates for Double Over-parameterization. CoRR Chong You, Zhihui Zhu, Qing Qu, Yi Ma
2020	J	`jnl`	Self-Representation Based Unsupervised Exemplar Selection in a Union of Subspaces. CoRR Chong You, Chi Li, Daniel P. Robinson, René Vidal
2020	—	`conf`	Spatial Analysis of the Correlation between Scintillation Parameters and MP&ROTI. ENC Chendong Li, Craig Matthew Hancock, Sreeja Vadakke Veettil, Chong You
2020	A*	`conf`	Stochastic Sparse Subspace Clustering. CVPR Ying Chen, Chun-Guang Li, Chong You
2020	J	`jnl`	Stochastic Sparse Subspace Clustering. CoRR Ying Chen, Chun-Guang Li, Chong You
2019	J	`jnl`	Basis Pursuit and Orthogonal Matching Pursuit for Subspace-preserving Recovery: Theoretical Analysis. CoRR Daniel P. Robinson, René Vidal, Chong You
2019	—	`conf`	Classifying and Comparing Approaches to Subspace Clustering with Missing Data. ICCV Workshops Connor Lane, Ron Boger, Chong You, Manolis C. Tsakiris, Benjamin D. Haeffele, René Vidal
2019	A*	`conf`	Is an Affine Constraint Needed for Affine Subspace Clustering? ICCV Chong You, Chun-Guang Li, Daniel P. Robinson, René Vidal
2019	A*	`conf`	Self-Supervised Convolutional Subspace Clustering Network. CVPR Junjian Zhang, Chun-Guang Li, Chong You, Xianbiao Qi, Honggang Zhang, Jun Guo, Zhouchen Lin
2019	J	`jnl`	Self-Supervised Convolutional Subspace Clustering Network. CoRR Junjian Zhang, Chun-Guang Li, Chong You, Xianbiao Qi, Honggang Zhang, Jun Guo, Zhouchen Lin
2018	—	`conf`	A Scalable Exemplar-Based Subspace Clustering Algorithm for Class-Imbalanced Data. ECCV (9) Chong You, Chi Li, Daniel P. Robinson, René Vidal
2018	J	`jnl`	A nonconvex formulation for low rank subspace clustering: algorithms and convergence analysis. Comput. Optim. Appl. Hao Jiang, Daniel P. Robinson, René Vidal, Chong You
2018	J	`jnl`	On Geometric Analysis of Affine Sparse Subspace Clustering. CoRR Chun-Guang Li, Chong You, René Vidal
2018	J	`jnl`	On Geometric Analysis of Affine Sparse Subspace Clustering. IEEE J. Sel. Top. Signal Process. Chun-Guang Li, Chong You, René Vidal
2017	A*	`conf`	Provable Self-Representation Based Outlier Detection in a Union of Subspaces. CVPR Chong You, Daniel P. Robinson, René Vidal
2017	J	`jnl`	Provable Self-Representation Based Outlier Detection in a Union of Subspaces. CoRR Chong You, Daniel P. Robinson, René Vidal
2017	J	`jnl`	Structured Sparse Subspace Clustering: A Joint Affinity Learning and Subspace Clustering Framework. IEEE Trans. Image Process. Chun-Guang Li, Chong You, René Vidal
2016	Misc	`conf`	A divide-and-conquer framework for large-scale subspace clustering. ACSSC Chong You, Claire Donnat, Daniel P. Robinson, René Vidal
2016	J	`jnl`	On generalized degrees of freedom with application in linear mixed models selection. Stat. Comput. Chong You, Samuel Müller, John T. Ormerod
2016	A*	`conf`	Oracle Based Active Set Algorithm for Scalable Elastic Net Subspace Clustering. CVPR Chong You, Chun-Guang Li, Daniel P. Robinson, René Vidal
2016	J	`jnl`	Oracle Based Active Set Algorithm for Scalable Elastic Net Subspace Clustering. CoRR Chong You, Chun-Guang Li, Daniel P. Robinson, René Vidal
2016	A*	`conf`	Scalable Sparse Subspace Clustering by Orthogonal Matching Pursuit. CVPR Chong You, Daniel P. Robinson, René Vidal
2016	J	`jnl`	Structured Sparse Subspace Clustering: A Joint Affinity Learning and Subspace Clustering Framework. CoRR Chun-Guang Li, Chong You, René Vidal
2015	A*	`conf`	Geometric Conditions for Subspace-Sparse Recovery. ICML Chong You, René Vidal
2015	J	`jnl`	Sparse Subspace Clustering by Orthogonal Matching Pursuit. CoRR Chong You, René Vidal
2015	J	`jnl`	Subspace-Sparse Representation. CoRR Chong You, René Vidal