| 2025 | ICASSP | Sequential Diffusion-Guided Deep Image Prior for Medical Image Reconstruction. | Shijun Liang, Ismail Alkhouri, Qing Qu, Rongrong Wang, Saiprasad Ravishankar |
| 2025 | ICLR | Learning Dynamics of Deep Matrix Factorization Beyond the Edge of Stability. | Avrajit Ghosh, Soo Min Kwon, Rongrong Wang, Saiprasad Ravishankar, Qing Qu |
| 2025 | ICML | Attention-Only Transformers via Unrolled Subspace Denoising. | Peng Wang, Yifu Lu, Yaodong Yu, Druv Pai, Qing Qu, Yi Ma |
| 2025 | ICML | SITCOM: Step-wise Triple-Consistent Diffusion Sampling For Inverse Problems. | Ismail Alkhouri, Shijun Liang, Cheng-Han Huang, Jimmy Dai, Qing Qu, Saiprasad Ravishankar, Rongrong Wang |
| 2024 | AISTATS | Efficient Low-Dimensional Compression of Overparameterized Models. | Soo Min Kwon, Zekai Zhang, Dogyoon Song, Laura Balzano, Qing Qu |
| 2024 | CVPR | Improving Training Efficiency of Diffusion Models via Multi-Stage Framework and Tailored Multi-Decoder Architecture. | Huijie Zhang, Yifu Lu, Ismail Alkhouri, Saiprasad Ravishankar, Dogyoon Song, Qing Qu |
| 2024 | ICASSP | Diffusion-Based Adversarial Purification for Robust Deep Mri Reconstruction. | Ismail Alkhouri, Shijun Liang, Rongrong Wang, Qing Qu, Saiprasad Ravishankar |
| 2024 | ICLR | Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency. | Bowen Song, Soo Min Kwon, Zecheng Zhang, Xinyu Hu, Qing Qu, Liyue Shen |
| 2024 | ICML | A Global Geometric Analysis of Maximal Coding Rate Reduction. | Peng Wang, Huikang Liu, Druv Pai, Yaodong Yu, Zhihui Zhu, Qing Qu, Yi Ma |
| 2024 | ICML | Optimal Eye Surgeon: Finding image priors through sparse generators at initialization. | Avrajit Ghosh, Xitong Zhang, Kenneth K. Sun, Qing Qu, Saiprasad Ravishankar, Rongrong Wang |
| 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 |
| 2024 | ICML | Neural Collapse in Multi-label Learning with Pick-all-label Loss. | Pengyu Li, Xiao Li, Yutong Wang, Qing Qu |
| 2024 | ICML | Symmetric Matrix Completion with ReLU Sampling. | Huikang Liu, Peng Wang, Longxiu Huang, Qing Qu, Laura Balzano |
| 2024 | ICML | Compressible Dynamics in Deep Overparameterized Low-Rank Learning & Adaptation. | Can Yaras, Peng Wang, Laura Balzano, Qing Qu |
| 2024 | ICML | The Emergence of Reproducibility and Consistency in Diffusion Models. | Huijie Zhang, Jinfan Zhou, Yifu Lu, Minzhe Guo, Peng Wang, Liyue Shen, Qing Qu |
| 2023 | ICASSP | Robust Self-Guided Deep Image Prior. | Evan Bell, Shijun Liang, Qing Qu, Saiprasad Ravishankar |
| 2023 | VTC | Full-duplex Cooperative Uplink Communication with Non-full-diversity Space-time Codes. | Qing Qu, Bin Zhou, Guangyu Liu, Cheng Ju |
| 2022 | EMNLP | Hidden State Variability of Pretrained Language Models Can Guide Computation Reduction for Transfer Learning. | Shuo Xie, Jiahao Qiu, Ankita Pasad, Li Du, Qing Qu, Hongyuan Mei |
| 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 |
| 2022 | VTC | Space-time coding design for multiple source nodes full-duplex cooperative communication. | Ligang Liu, Qing Qu, Bin Zhou, Yu Zhao, Zhiyong Bu |
| 2020 | ICLR | Short and Sparse Deconvolution - A Geometric Approach. | Yenson Lau, Qing Qu, Han-Wen Kuo, Pengcheng Zhou, Yuqian Zhang, John Wright |
| 2020 | ICLR | Geometric Analysis of Nonconvex Optimization Landscapes for Overcomplete Learning. | Qing Qu, Yuexiang Zhai, Xiao Li, Yuqian Zhang, Zhihui Zhu |
| 2019 | ACSSC | Exact and Efficient Multi-Channel Sparse Blind Deconvolution - A Nonconvex Approach. | Qing Qu, Xiao Li, Zhihui Zhu |
| 2016 | ISIT | A geometric analysis of phase retrieval. | Ju Sun, Qing Qu, John Wright |
| 2015 | ICML | Complete Dictionary Recovery Using Nonconvex Optimization. | Ju Sun, Qing Qu, John Wright |
| 2014 | ICASSP | Subspace vertex pursuit for separable non-negative matrix factorization in hyperspectral unmixing. | Qing Qu, Xiaoxia Sun, Nasser M. Nasrabadi, Trac D. Tran |
| 2013 | ICASSP | Hyperspectral abundance estimation for the generalized bilinear model with joint sparsity constraint. | Qing Qu, Nasser M. Nasrabadi, Trac D. Tran |