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Qing Qu
ORCID
Publication Activity (10 Years)
Years Active: 2021-2024
Publications (10 Years): 19
Top Topics
Image Prior
Riemannian Manifolds
Subgradient Method
Neural Fuzzy
Top Venues
CoRR
NeurIPS
ICML
ICASSP
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Publications
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Shijun Liang
,
Evan Bell
,
Qing Qu
,
Rongrong Wang
,
Saiprasad Ravishankar
Analysis of Deep Image Prior and Exploiting Self-Guidance for Image Reconstruction.
CoRR
(2024)
Yuexiang Zhai
,
Shengbang Tong
,
Xiao Li
,
Mu Cai
,
Qing Qu
,
Yong Jae Lee
,
Yi Ma
Investigating the Catastrophic Forgetting in Multimodal Large Language Models.
CoRR
(2023)
Can Yaras
,
Peng Wang
,
Wei Hu
,
Zhihui Zhu
,
Laura Balzano
,
Qing Qu
The Law of Parsimony in Gradient Descent for Learning Deep Linear Networks.
CoRR
(2023)
Huijie Zhang
,
Yifu Lu
,
Ismail Alkhouri
,
Saiprasad Ravishankar
,
Dogyoon Song
,
Qing Qu
Improving Efficiency of Diffusion Models via Multi-Stage Framework and Tailored Multi-Decoder Architectures.
CoRR
(2023)
Evan Bell
,
Shijun Liang
,
Qing Qu
,
Saiprasad Ravishankar
Robust Self-Guided Deep Image Prior.
ICASSP
(2023)
Soo Min Kwon
,
Zekai Zhang
,
Dogyoon Song
,
Laura Balzano
,
Qing Qu
Efficient Compression of Overparameterized Deep Models through Low-Dimensional Learning Dynamics.
CoRR
(2023)
Peng Wang
,
Xiao Li
,
Can Yaras
,
Zhihui Zhu
,
Laura Balzano
,
Wei Hu
,
Qing Qu
Understanding Deep Representation Learning via Layerwise Feature Compression and Discrimination.
CoRR
(2023)
Xiang Li
,
Saiprasad Ravishankar
,
Qing Qu
Robust Deep Image Recovery from Sparsely Corrupted and Sub-Sampled Measurements.
CAMSAP
(2023)
Jiachen Jiang
,
Jinxin Zhou
,
Peng Wang
,
Qing Qu
,
Dustin Mixon
,
Chong You
,
Zhihui Zhu
Generalized Neural Collapse for a Large Number of Classes.
CoRR
(2023)
Can Yaras
,
Peng Wang
,
Zhihui Zhu
,
Laura Balzano
,
Qing Qu
Neural Collapse with Normalized Features: A Geometric Analysis over the Riemannian Manifold.
CoRR
(2022)
Jinxin Zhou
,
Xiao Li
,
Tianyu Ding
,
Chong You
,
Qing Qu
,
Zhihui Zhu
On the Optimization Landscape of Neural Collapse under MSE Loss: Global Optimality with Unconstrained Features.
ICML
(2022)
Jinxin Zhou
,
Chong You
,
Xiao Li
,
Kangning Liu
,
Sheng Liu
,
Qing Qu
,
Zhihui Zhu
Are All Losses Created Equal: A Neural Collapse Perspective.
CoRR
(2022)
Jinxin Zhou
,
Chong You
,
Xiao Li
,
Kangning Liu
,
Sheng Liu
,
Qing Qu
,
Zhihui Zhu
Are All Losses Created Equal: A Neural Collapse Perspective.
NeurIPS
(2022)
Xiao Li
,
Sheng Liu
,
Jinxin Zhou
,
Xinyu Lu
,
Carlos Fernandez-Granda
,
Zhihui Zhu
,
Qing Qu
Principled and Efficient Transfer Learning of Deep Models via Neural Collapse.
CoRR
(2022)
Sheng Liu
,
Zhihui Zhu
,
Qing Qu
,
Chong You
Robust Training under Label Noise by Over-parameterization.
ICML
(2022)
Can Yaras
,
Peng Wang
,
Zhihui Zhu
,
Laura Balzano
,
Qing Qu
Neural Collapse with Normalized Features: A Geometric Analysis over the Riemannian Manifold.
NeurIPS
(2022)
Sheng Liu
,
Xiao Li
,
Yuexiang Zhai
,
Chong You
,
Zhihui Zhu
,
Carlos Fernandez-Granda
,
Qing Qu
Convolutional Normalization: Improving Deep Convolutional Network Robustness and Training.
NeurIPS
(2021)
Zhihui Zhu
,
Tianyu Ding
,
Jinxin Zhou
,
Xiao Li
,
Chong You
,
Jeremias Sulam
,
Qing Qu
A Geometric Analysis of Neural Collapse with Unconstrained Features.
NeurIPS
(2021)
Lijun Ding
,
Liwei Jiang
,
Yudong Chen
,
Qing Qu
,
Zhihui Zhu
Rank Overspecified Robust Matrix Recovery: Subgradient Method and Exact Recovery.
NeurIPS
(2021)