Scholar
Qiang Qiu
Google Scholar ID: jdLtt_YAAAAJ
Purdue University
Citations & Impact
Citations
3,556
H-index
31
i10-index
70
Publications
20
Co-authors
39
list available
Contact
Publications
Resume (English only)
Academic Achievements
- - Wei Chen, Jingxi Yu, Zichen Miao, Qiang Qiu, "In-Context Compositional Learning via Sparse Coding Transformer", Advances in Neural Information Processing Systems (NeurIPS), 2025
- - Gaurav Patel, Qiang Qiu, "Learning to Unlearn while Retaining: Combating Gradient Conflicts in Machine Unlearning", International Conference on Computer Vision (ICCV), 2025
- - Wei Chen, Jingxi Yu, Zichen Miao, Qiang Qiu, "Sparse Fine-Tuning of Transformers for Generative Tasks", International Conference on Computer Vision (ICCV), 2025
- - Zichen Miao, Wei Chen, Qiang Qiu, "Coeff-Tuning: A Filter Subspace View for Tuning Attention-Based Large Models", Computer Vision and Pattern Recognition (CVPR), 2025. (Spotlight)
- - Jeeyung Kim, Erfan Esmaeili, Qiang Qiu, "Text Embedding is Not All You Need: Attention Control for Text-to-Image Semantic Alignment with Text Self-Attention Maps", Computer Vision and Pattern Recognition (CVPR), 2025.
- - Vishal Purohit, Matthew Repasky, Jianfeng Lu, Qiang Qiu, Yao Xie, Xiuyuan Cheng, "Consistency Posterior Sampling for Diverse Image Synthesis", Computer Vision and Pattern Recognition (CVPR), 2025.
- - Wei Chen, Zichen Miao, Qiang Qiu, "Large Convolutional Model Tuning via Filter Subspace", International Conference on Learning Representations (ICLR), 2025.
- - Zichen Miao, Zhengyuan Yang, Kevin Lin, Ze Wang, Zicheng Liu, Lijuan Wang, Qiang Qiu, "Tuning Timestep-Distilled Diffusion Model Using Pairwise Sample Optimization", International Conference on Learning Representations (ICLR), 2025.
- - Lun Huang, Qiang Qiu, Guillermo Sapiro, "SSOLE: Rethinking Orthogonal Low-rank Embedding for Self-Supervised Learning", International Conference on Learning Representations (ICLR), 2025.
- - Zichen Miao, Jiang Wang, Ze Wang, Zhengyuan Yang, Lijuan Wang, Qiang Qiu, Zicheng Liu, "Training Diffusion Models Towards Diverse Image Generation with Reinforcement Learning", Computer Vision and Pattern Recognition (CVPR), 2024.
- - Vishal Purohit, Junjie Luo, Yiheng Chi, Qi Guo, Stanley H. Chan, Qiang Qiu, "Generative Quanta Color Imaging", Computer Vision and Pattern Recognition (CVPR), 2024.
- - Lun Huang, Qiang Qiu, Guillermo Sapiro, "PQ-VAE: Learning Hierarchical Discrete Representations with Progressive Quantization", Computer Vision and Pattern Recognition Workshops (CVPRW)
Research Experience
- - Associate Professor, Purdue University [2024-Present]
- - Assistant Professor, Purdue University [2020-2024]
- - Assistant Research Professor, Duke University [2016-2020]
- - Research Scientist, Duke University [2015-2016]
- - Postdoc Associate, Duke University [2013-2015]
- - Graduate Assistant, University of Maryland, College Park [2007-2012]
- - Senior Research Engineer, Institute for Infocomm Research, Singapore [2002-2007]
- - Intern, Kent Ridge Digital Labs, Singapore [2002, 2000-2001, 1998-1999]
Education
- - Ph.D., Computer Science, University of Maryland, College Park [2013]
- - M.S., Computer Science, University of Maryland, College Park [2010]
- - M.S., Computer Science, Singapore-MIT Alliance, National University of Singapore [2002]
- - B.S. with First Class Honors, Computer Science, National University of Singapore [2001]
Background
- - Research Interests: Computer vision and machine learning, specifically on deep learning, image understanding, representation learning
- - Position: Associate Professor
- - Affiliation: Department of Electrical and Computer Engineering, Purdue University
