Chong You
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
23
Venues
7
Active years
2015–2025
Best venue rank
A*
Where they publish
Papers
23 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AISTATS | Efficient and Asymptotically Unbiased Constrained Decoding for Large Language Models. | Haotian Ye, Himanshu Jain, Chong You, Ananda Theertha Suresh, Haowei Lin, James Zou, Felix X. Yu |
| 2024 | ICLR | On Bias-Variance Alignment in Deep Models. | Lin Chen, Michal Lukasik, Wittawat Jitkrittum, Chong You, Sanjiv Kumar |
| 2024 | ICLR | Functional Interpolation for Relative Positions improves Long Context Transformers. | Shanda Li, Chong You, Guru Guruganesh, Joshua Ainslie, Santiago Ontan, Manzil Zaheer, Sumit Sanghai, Yiming Yang, Sanjiv Kumar, Srinadh Bhojanapalli |
| 2024 | ICML | Generalized Neural Collapse for a Large Number of Classes. | Jiachen Jiang, Jinxin Zhou, Peng Wang, Qing Qu, Dustin G. Mixon, Chong You, Zhihui Zhu |
| 2023 | ICLR | The Lazy Neuron Phenomenon: On Emergence of Activation Sparsity in Transformers. | 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 |
| 2023 | ICLR | Teacher Guided Training: An Efficient Framework for Knowledge Transfer. | Manzil Zaheer, Ankit Singh Rawat, Seungyeon Kim, Chong You, Himanshu Jain, Andreas Veit, Rob Fergus, Sanjiv Kumar |
| 2022 | ICML | Robust Training under Label Noise by Over-parameterization. | Sheng Liu, Zhihui Zhu, Qing Qu, Chong You |
| 2022 | ICML | On the Optimization Landscape of Neural Collapse under MSE Loss: Global Optimality with Unconstrained Features. | Jinxin Zhou, Xiao Li, Tianyu Ding, Chong You, Qing Qu, Zhihui Zhu |
| 2021 | CVPR | Incremental Learning via Rate Reduction. | Ziyang Wu, Christina Baek, Chong You, Yi Ma |
| 2021 | CVPR | Learning a Self-Expressive Network for Subspace Clustering. | Shangzhi Zhang, Chong You, Ren Vidal, Chun-Guang Li |
| 2021 | ICLR | A Critique of Self-Expressive Deep Subspace Clustering. | Benjamin David Haeffele, Chong You, Ren Vidal |
| 2021 | ICML | A Nullspace Property for Subspace-Preserving Recovery. | Mustafa Devrim Kaba, Chong You, Daniel P. Robinson, Enrique Mallada, Ren Vidal |
| 2020 | CVPR | Stochastic Sparse Subspace Clustering. | Ying Chen, Chun-Guang Li, Chong You |
| 2020 | ICML | Deep Isometric Learning for Visual Recognition. | Haozhi Qi, Chong You, Xiaolong Wang, Yi Ma, Jitendra Malik |
| 2020 | ICML | Rethinking Bias-Variance Trade-off for Generalization of Neural Networks. | Zitong Yang, Yaodong Yu, Chong You, Jacob Steinhardt, Yi Ma |
| 2019 | CVPR | Self-Supervised Convolutional Subspace Clustering Network. | Junjian Zhang, Chun-Guang Li, Chong You, Xianbiao Qi, Honggang Zhang, Jun Guo, Zhouchen Lin |
| 2019 | ICCV | Is an Affine Constraint Needed for Affine Subspace Clustering? | Chong You, Chun-Guang Li, Daniel P. Robinson, Ren Vidal |
| 2018 | ECCV | A Scalable Exemplar-Based Subspace Clustering Algorithm for Class-Imbalanced Data. | Chong You, Chi Li, Daniel P. Robinson, Ren Vidal |
| 2017 | CVPR | Provable Self-Representation Based Outlier Detection in a Union of Subspaces. | Chong You, Daniel P. Robinson, Ren Vidal |
| 2016 | ACSSC | A divide-and-conquer framework for large-scale subspace clustering. | Chong You, Claire Donnat, Daniel P. Robinson, Ren Vidal |
| 2016 | CVPR | Oracle Based Active Set Algorithm for Scalable Elastic Net Subspace Clustering. | Chong You, Chun-Guang Li, Daniel P. Robinson, Ren Vidal |
| 2016 | CVPR | Scalable Sparse Subspace Clustering by Orthogonal Matching Pursuit. | Chong You, Daniel P. Robinson, Ren Vidal |
| 2015 | ICML | Geometric Conditions for Subspace-Sparse Recovery. | Chong You, Ren Vidal |