Qing Qu

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 38

Top Topics

Nonnegative Matrix Factorization

Blind Deconvolution

Diffusion Models

Top Venues

IEEE Trans. Inf. Theory

Publications

Jiyi Chen, Pengyu Li, Yutong Wang, Pei-Cheng Ku, Qing Qu
Sim2Real in Reconstructive Spectroscopy: Deep Learning with Augmented Device-Informed Data Simulation. CoRR (2024)
Huijie Zhang, Jinfan Zhou, Yifu Lu, Minzhe Guo, Liyue Shen, Qing Qu
The Emergence of Reproducibility and Consistency in Diffusion Models. CoRR (2023)
Bowen Song, Soo Min Kwon, Zecheng Zhang, Xinyu Hu, Qing Qu, Liyue Shen
Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency. CoRR (2023)
Qing Qu, Bin Zhou, Guangyu Liu, Cheng Ju
Full-duplex Cooperative Uplink Communication with Non-full-diversity Space-time Codes. VTC2023-Spring (2023)
Pengyu Li, Yutong Wang, Xiao Li, Qing Qu
Neural Collapse in Multi-label Learning with Pick-all-label Loss. CoRR (2023)
Shuo Xie, Jiahao Qiu, Ankita Pasad, Li Du, Qing Qu, Hongyuan Mei
Hidden State Variability of Pretrained Language Models Can Guide Computation Reduction for Transfer Learning. EMNLP (Findings) (2022)
Ligang Liu, Qing Qu, Bin Zhou, Yu Zhao, Zhiyong Bu
Space-time coding design for multiple source nodes full-duplex cooperative communication. VTC Spring (2022)
Sheng Liu, Zhihui Zhu, Qing Qu, Chong You
Robust Training under Label Noise by Over-parameterization. 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. CoRR (2022)
Shuo Xie, Jiahao Qiu, Ankita Pasad, Li Du, Qing Qu, Hongyuan Mei
Hidden State Variability of Pretrained Language Models Can Guide Computation Reduction for Transfer Learning. CoRR (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. CoRR (2021)
Zhihui Zhu, Tianyu Ding, Jinxin Zhou, Xiao Li, Chong You, Jeremias Sulam, Qing Qu
A Geometric Analysis of Neural Collapse with Unconstrained Features. CoRR (2021)
Xiao Li, Shixiang Chen, Zengde Deng, Qing Qu, Zhihui Zhu, Anthony Man-Cho So
Weakly Convex Optimization over Stiefel Manifold Using Riemannian Subgradient-Type Methods. SIAM J. Optim. 31 (3) (2021)
Chun Sum Brian Pang, Wessley Ng, Jing Liang, Qing Qu, Ho Tin Martin Chau, Muyao Niu, Man Kit Cheng, Iam-Keong Sou
A Simple Thermoelectric Effect Setup for Determining the Conductivity Type of Thin Film Materials. IEEE Trans. Instrum. Meas. 70 (2021)
Lijun Ding, Liwei Jiang, Yudong Chen, Qing Qu, Zhihui Zhu
Rank Overspecified Robust Matrix Recovery: Subgradient Method and Exact Recovery. CoRR (2021)
Chong You, Zhihui Zhu, Qing Qu, Yi Ma
Robust Recovery via Implicit Bias of Discrepant Learning Rates for Double Over-parameterization. CoRR (2020)
Chong You, Zhihui Zhu, Qing Qu, Yi Ma
Robust Recovery via Implicit Bias of Discrepant Learning Rates for Double Over-parameterization. NeurIPS (2020)
Qing Qu, Zhihui Zhu, Xiao Li, Manolis C. Tsakiris, John Wright, René Vidal
Finding the Sparsest Vectors in a Subspace: Theory, Algorithms, and Applications. CoRR (2020)
Yuqian Zhang, Qing Qu, John Wright
From Symmetry to Geometry: Tractable Nonconvex Problems. CoRR (2020)
Qing Qu, Yuexiang Zhai, Xiao Li, Yuqian Zhang, Zhihui Zhu
Geometric Analysis of Nonconvex Optimization Landscapes for Overcomplete Learning. ICLR (2020)
Qing Qu, Xiao Li, Zhihui Zhu
Exact Recovery of Multichannel Sparse Blind Deconvolution via Gradient Descent. SIAM J. Imaging Sci. 13 (3) (2020)
Yenson Lau, Qing Qu, Han-Wen Kuo, Pengcheng Zhou, Yuqian Zhang, John Wright
Short and Sparse Deconvolution - A Geometric Approach. ICLR (2020)
Qing Qu, Yuqian Zhang, Yonina C. Eldar, John Wright
Convolutional Phase Retrieval via Gradient Descent. IEEE Trans. Inf. Theory 66 (3) (2020)
Xiao Li, Shixiang Chen, Zengde Deng, Qing Qu, Zhihui Zhu, Anthony Man-Cho So
Nonsmooth Optimization over Stiefel Manifold: Riemannian Subgradient Methods. CoRR (2019)
Qing Qu, Xiao Li, Zhihui Zhu
A Nonconvex Approach for Exact and Efficient Multichannel Sparse Blind Deconvolution. CoRR (2019)
Qing Qu, Xiao Li, Zhihui Zhu
A Nonconvex Approach for Exact and Efficient Multichannel Sparse Blind Deconvolution. NeurIPS (2019)
Qing Qu, Xiao Li, Zhihui Zhu
Exact and Efficient Multi-Channel Sparse Blind Deconvolution - A Nonconvex Approach. ACSSC (2019)
Yenson Lau, Qing Qu, Han-Wen Kuo, Pengcheng Zhou, Yuqian Zhang, John Wright
Short-and-Sparse Deconvolution - A Geometric Approach. CoRR (2019)
Qing Qu, Yuexiang Zhai, Xiao Li, Yuqian Zhang, Zhihui Zhu
Analysis of the Optimization Landscapes for Overcomplete Representation Learning. CoRR (2019)
Xingcan Qian, Qing Qu, Lei Li, Xin Ran, Limei Zuo, Rui Huang, Qiang Wang
Nanorods in Dairy Products. Sensors 18 (6) (2018)
Ju Sun, Qing Qu, John Wright
A Geometric Analysis of Phase Retrieval. Found. Comput. Math. 18 (5) (2018)
Ju Sun, Qing Qu, John Wright
Complete Dictionary Recovery Over the Sphere II: Recovery by Riemannian Trust-Region Method. IEEE Trans. Inf. Theory 63 (2) (2017)
Qing Qu, Yuqian Zhang, Yonina C. Eldar, John Wright
Convolutional Phase Retrieval via Gradient Descent. CoRR (2017)
Ju Sun, Qing Qu, John Wright
Complete Dictionary Recovery Over the Sphere I: Overview and the Geometric Picture. IEEE Trans. Inf. Theory 63 (2) (2017)
Qing Qu, Yuqian Zhang, Yonina C. Eldar, John Wright
Convolutional Phase Retrieval. NIPS (2017)
Qing Qu, Ju Sun, John Wright
Finding a Sparse Vector in a Subspace: Linear Sparsity Using Alternating Directions. IEEE Trans. Inf. Theory 62 (10) (2016)
Ju Sun, Qing Qu, John Wright
A geometric analysis of phase retrieval. ISIT (2016)
Ju Sun, Qing Qu, John Wright
A Geometric Analysis of Phase Retrieval. CoRR (2016)
Ju Sun, Qing Qu, John Wright
Complete Dictionary Recovery over the Sphere. CoRR (2015)
Ju Sun, Qing Qu, John Wright
Complete Dictionary Recovery Using Nonconvex Optimization. ICML (2015)
Ju Sun, Qing Qu, John Wright
Complete Dictionary Recovery over the Sphere I: Overview and the Geometric Picture. CoRR (2015)
Ju Sun, Qing Qu, John Wright
Complete Dictionary Recovery over the Sphere II: Recovery by Riemannian Trust-region Method. CoRR (2015)
Qing Qu, Nasser M. Nasrabadi, Trac D. Tran
Subspace Vertex Pursuit: A Fast and Robust Near-Separable Nonnegative Matrix Factorization Method for Hyperspectral Unmixing. IEEE J. Sel. Top. Signal Process. 9 (6) (2015)
Ju Sun, Qing Qu, John Wright
When Are Nonconvex Problems Not Scary? CoRR (2015)
Qing Qu, Nasser M. Nasrabadi, Trac D. Tran
Abundance Estimation for Bilinear Mixture Models via Joint Sparse and Low-Rank Representation. IEEE Trans. Geosci. Remote. Sens. 52 (7) (2014)
Dong Yu, Cheng Yu, Qing Qu, Gongbo Tang, Chunhua Liu, Yuan Tian, Jing Yi
An Introduction to BLCU Personal Attributes Extraction System. CIPS-SIGHAN (2014)
Qing Qu, Xiaoxia Sun, Nasser M. Nasrabadi, Trac D. Tran
Subspace vertex pursuit for separable non-negative matrix factorization in hyperspectral unmixing. ICASSP (2014)
Qing Qu, Ju Sun, John Wright
Finding a sparse vector in a subspace: Linear sparsity using alternating directions. CoRR (2014)
Xiaoxia Sun, Qing Qu, Nasser M. Nasrabadi, Trac D. Tran
Structured Priors for Sparse-Representation-Based Hyperspectral Image Classification. CoRR (2014)
Xiaoxia Sun, Qing Qu, Nasser M. Nasrabadi, Trac D. Tran
Structured Priors for Sparse-Representation-Based Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 11 (7) (2014)
Qing Qu, Ju Sun, John Wright
Finding a sparse vector in a subspace: Linear sparsity using alternating directions. NIPS (2014)
Jian Jin, Qing Qu, Yuantao Gu
A Robust Zero-point Attraction LMS Algorithm on Near Sparse System Identification CoRR (2013)
Qing Qu, Xiaoxia Sun, Nasser M. Nasrabadi, Trac D. Tran
Low rank representation for bilinear abundance estimation problem. WHISPERS (2013)
Jian Jin, Qing Qu, Yuantao Gu
Robust zero-point attraction least mean square algorithm on near sparse system identification. IET Signal Process. 7 (3) (2013)
Qing Qu, Nasser M. Nasrabadi, Trac D. Tran
Hyperspectral abundance estimation for the generalized bilinear model with joint sparsity constraint. ICASSP (2013)
Qinru Qiu, Qing Qu, Massoud Pedram
Stochastic modeling of a power-managed system-construction andoptimization. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 20 (10) (2001)