Zhiqiu Xia, Jinxuan Xu, Yuqian Zhang, Hang Liu. "A Survey of Uncertainty Estimation Methods on Large Language Models". [pdf]

Dian Jin, Yuqian Zhang, Qiaosheng Zhang, "Community Detection for Contextual-LSBM: Theoretical Limitations of Misclassification Rate and Efficient Algorithms". [pdf]

Yuqian Zhang, Qing Qu, John Wright. "From Symmetry to Geometry: Tractable Nonconvex Problems". [pdf]

Jiazhen Hong, Wei Qian, Yudong Chen, Yuqian Zhang. "A Geometric Approach to k-means". [pdf]

Lijun Ding, Yuqian Zhang, Yudong Chen. "Low-rank Matrix Recovery with Non-quadratic Loss: Projected Gradient Method and Regularity Projection Oracle". [pdf]

Dian Jin, Xin Bing, Yuqian Zhang. "Optimal Vintage Factor Analysis with Deflation Varimax".  Annals of Statistics, 2025. [pdf]

Jinxuan Xu, Hong-You Chen, Wei-Lun Chao, Yuqian Zhang. “Jigsaw Game: Federated Clustering”. Transactions on Machine Learning Research, 2024. [pdf]

Yudong Chen, Dogyoon Song, Xumei Xi, and Yuqian Zhang, “Local Minima Structures in Gaussian Mixture Models”. IEEE Transactions on Information Theory, 2024. [pdf]

Dian Jin, Xin Bing, Yuqian Zhang. “Unique Sparse Decomposition of Low Rank Matrix”. IEEE Transactions on Information Theory, 2022. [pdf}

Wei Qian, Yuqian Zhang, Yudong Chen. "Structures of Spurious Local Minima in k-means". IEEE Transaction on Information Theory, 2021. [pdf]

Han-Wen Kuo, Yuqian Zhang, Yenson Lau, John Wright. "Geometry and Symmetry in Short-and-Sparse Deconvolution".  SIAM Journal on Mathematics of Data Science, 2020. [pdf]

Yuqian Zhang, Han-Wen Kuo, John Wright. "Structured Local Optima in Sparse Blind Deconvolution".  IEEE Transaction on Information Theory, 2020. [pdf]  

Sky Cheung, John Shin, Yenson Lau, Zhengyu Chen, Ju Sun, Yuqian Zhang, John Wright, Abhay Pasupathy. "Dictionary Learning in Fourier Transform Scanning Tunneling Spectroscopy". Nature Communications, 2020. [pdf]

Qing Qu, Yuqian Zhang, Yonina Eldar, John Wright. "Convolutional Phase Retrieval via Gradient Descent".  IEEE Transaction on Information Theory, 2020. [pdf]

Yuqian Zhang, Yenson Lau, Han-Wen Kuo, Sky Cheung, Abhay Pasupathy, John Wright. "On the Global Geometry of Sphere-Constrained Sparse Blind Deconvolution". IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019. [pdf]

Cun Mu, Yuqian Zhang, John Wright, Donald Goldfarb. "Scalable Robust Matrix Recovery: Frank-Wolfe Meets Proximal Methods". SIAM Journal on Scientific Computing, 2016. [pdf]

Ju Sun, Yuqian Zhang, John Wright. "Efficient Point-to-Subspace Query in l1 with Application to Robust Face Recognition". SIAM Journal on Scientific Computing, 2013. [pdf]

Jinqi Xiao, Shen Sang, Tiancheng Zhi, Jing Liu, Qing Yan, Yuqian Zhang, Linjie Luo, Bo Yuan. "COAP: Memory-Efficient Training with Correlation-Aware Gradient Projection". CVPR,  2025 [pdf]

Jinxuan Xu, Shiyu Jin, Yutian Lei, Yuqian Zhang, Liangjun Zhang. "Reasoning Tuning Grasp: Adapting Multi-Modal Large Language Models for Robotic Grasping". IROS, 2024. [pdf]

Dian Jin, Xin Bing, Yuqian Zhang. "Unique Sparse Decomposition of Low Rank Matrices". NeurIPS, 2021. [pdf]

Yenson Lau, Qing Qu, Han-Wen Kuo, Pengcheng Zhou, Yuqian Zhang, John Wright. "Short-and-Sparse Deconvolution --- A Geometric Approach". ICLR, 2020. [pdf]

Qing Qu, Yuexiang Zhai, Xiao Li, Yuqian Zhang, Zhihui Zhu. "Analysis of the Optimization Landscapes for Overcomplete Representation Learning". ICLR, 2020. [pdf]

Jicong Fan, Yuqian Zhang, Madeleine Udell. "Polynomial Matrix Completion for Missing Data Imputation and Transductive Learning". AAAI, 2020. [pdf]

Wei Qian, Yuqian Zhang, Yudong Chen. "Global Convergence of Least Squares EM for Demixing Two Log-Concave Densities". NeurIPS, 2019.[pdf]

Han-Wen Kuo, Yenson Lau, Yuqian Zhang, John Wright. "Geometry and Symmetry in Short-and-Sparse Deconvolution". ICML, 2019.[pdf]

Yuqian Zhang, Han-Wen Kuo, John Wright. "Structured Local Optima in Sparse Blind Deconvolution Problem". NeurIPS, 2018. [pdf]Yuqian Zhang, Yenson Lau, Han-Wen Kuo, Sky Cheung, Abhay Pasupathy, John Wright. "On the Global Geometry of Sphere-Constrained Sparse Blind Deconvolution". CVPR, 2017. [pdf]

Qing Qu, Yuqian Zhang, Yonina Eldar, John Wright. "Convolutional Phase Retrieval via Gradient Descent". NeurIPS, 2017. [pdf]

Yuqian Zhang, Cun Mu, Han-Wen Kuo, John Wright. "Toward Guaranteed Illumination Models for Non-Convex Objects". ICCV, 2013. [pdf]

Ju Sun, Yuqian Zhang, John Wright. "Efficient Point-to-Subspace Query in l1 with Application to Robust Face Recognition". ECCV, 2012. [pdf]