| 2026 | WACV | Conditional Text-to-Image Generation with Reference Guidance. | Taewook Kim, Ze Wang, Zhengyuan Yang, Jiang Wang, Lijuan Wang, Zicheng Liu, Qiang Qiu |
| 2025 | CVPR | Text Embedding is Not All You Need: Attention Control for Text-to-Image Semantic Alignment with Text Self-Attention Maps. | Jeeyung Kim, Erfan Esmaeili, Qiang Qiu |
| 2025 | CVPR | Coeff-Tuning: A Graph Filter Subspace View for Tuning Attention-Based Large Models. | Zichen Miao, Wei Chen, Qiang Qiu |
| 2025 | CVPR | Consistency Posterior Sampling for Diverse Image Synthesis. | Vishal Purohit, Matthew Repasky, Jianfeng Lu, Qiang Qiu, Yao Xie, Xiuyuan Cheng |
| 2025 | ICCV | Sparse Fine-Tuning of Transformers for Generative Tasks. | Wei Chen, Jingxi Yu, Zichen Miao, Qiang Qiu |
| 2025 | ICCV | Learning to Unlearn While Retaining: Combating Gradient Conflicts in Machine Unlearning. | Gaurav Patel, Qiang Qiu |
| 2025 | ICLR | Large Convolutional Model Tuning via Filter Subspace. | Wei Chen, Zichen Miao, Qiang Qiu |
| 2025 | ICLR | SSOLE: Rethinking Orthogonal Low-rank Embedding for Self-Supervised Learning. | Lun Huang, Qiang Qiu, Guillermo Sapiro |
| 2025 | ICLR | Tuning Timestep-Distilled Diffusion Model Using Pairwise Sample Optimization. | Zichen Miao, Zhengyuan Yang, Kevin Lin, Ze Wang, Zicheng Liu, Lijuan Wang, Qiang Qiu |
| 2024 | CVPR | PQ-VAE: Learning Hierarchical Discrete Representations with Progressive Quantization. | Lun Huang, Qiang Qiu, Guillermo Sapiro |
| 2024 | CVPR | Training Diffusion Models Towards Diverse Image Generation with Reinforcement Learning. | Zichen Miao, Jiang Wang, Ze Wang, Zhengyuan Yang, Lijuan Wang, Qiang Qiu, Zicheng Liu |
| 2024 | CVPR | Generative Quanta Color Imaging. | Vishal Purohit, Junjie Luo, Yiheng Chi, Qi Guo, Stanley H. Chan, Qiang Qiu |
| 2024 | ECCV | Constructing Concept-Based Models to Mitigate Spurious Correlations with Minimal Human Effort. | Jeeyung Kim, Ze Wang, Qiang Qiu |
| 2024 | ICASSP | Dynamic Frequency Domain Graph Convolutional Network for Traffic Forecasting. | Yujie Li, Zezhi Shao, Yongjun Xu, Qiang Qiu, Zhaogang Cao, Fei Wang |
| 2024 | ICLR | Training Bayesian Neural Networks with Sparse Subspace Variational Inference. | Junbo Li, Zichen Miao, Qiang Qiu, Ruqi Zhang |
| 2024 | SIGGRAPH | Mob-FGSR: Frame Generation and Super Resolution for Mobile Real-Time Rendering. | Sipeng Yang, Qingchuan Zhu, Junhao Zhuge, Qiang Qiu, Chen Li, Yuzhong Yan, Huihui Xu, Ling-Qi Yan, Xiaogang Jin |
| 2023 | AAAI | Learning Adversarially Robust Sparse Networks via Weight Reparameterization. | Chenhao Li, Qiang Qiu, Zhibin Zhang, Jiafeng Guo, Xueqi Cheng |
| 2023 | AsiaCCS | FLAIR: Defense against Model Poisoning Attack in Federated Learning. | Atul Sharma, Wei Chen, Joshua Zhao, Qiang Qiu, Saurabh Bagchi, Somali Chaterji |
| 2023 | CVPR | Learning to Retain while Acquiring: Combating Distribution-Shift in Adversarial Data-Free Knowledge Distillation. | Gaurav Patel, Konda Reddy Mopuri, Qiang Qiu |
| 2023 | CVPR | Binary Latent Diffusion. | Ze Wang, Jiang Wang, Zicheng Liu, Qiang Qiu |
| 2023 | DSN | How to Learn Collaboratively - Federated Learning to Peer-to-Peer Learning and What's at Stake. | Atul Sharma, Joshua C. Zhao, Wei Chen, Qiang Qiu, Saurabh Bagchi, Somali Chaterji |
| 2023 | ICLR | Energy-Inspired Self-Supervised Pretraining for Vision Models. | Ze Wang, Jiang Wang, Zicheng Liu, Qiang Qiu |
| 2023 | ICML | Structural Re-weighting Improves Graph Domain Adaptation. | Shikun Liu, Tianchun Li, Yongbin Feng, Nhan Tran, Han Zhao, Qiang Qiu, Pan Li |
| 2023 | WACV | Seq-UPS: Sequential Uncertainty-aware Pseudo-label Selection for Semi-Supervised Text Recognition. | Gaurav Patel, Jan P. Allebach, Qiang Qiu |
| 2023 | WACV | Meta-OLE: Meta-learned Orthogonal Low-Rank Embedding. | Ze Wang, Yue Lu, Qiang Qiu |
| 2022 | ICLR | Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank? | Sheikh Shams Azam, Seyyedali Hosseinalipour, Qiang Qiu, Christopher G. Brinton |
| 2022 | ICLR | Continual Learning with Filter Atom Swapping. | Zichen Miao, Ze Wang, Wei Chen, Qiang Qiu |
| 2021 | CVPR | Using Text To Teach Image Retrieval. | Haoyu Dong, Ze Wang, Qiang Qiu, Guillermo Sapiro |
| 2021 | ICCV | Adaptive Convolutions with Per-pixel Dynamic Filter Atom. | Ze Wang, Zichen Miao, Jun Hu, Qiang Qiu |
| 2021 | ICLR | Graph Convolution with Low-rank Learnable Local Filters. | Xiuyuan Cheng, Zichen Miao, Qiang Qiu |
| 2021 | ICML | Run-Sort-ReRun: Escaping Batch Size Limitations in Sliced Wasserstein Generative Models. | Jos Lezama, Wei Chen, Qiang Qiu |
| 2021 | ICRA | Cirrus: A Long-range Bi-pattern LiDAR Dataset. | Ze Wang, Sihao Ding, Ying Li, Jonas Fenn, Sohini Roychowdhury, Andreas Wallin, Lane Martin, Scott Ryvola, Guillermo Sapiro, Qiang Qiu |
| 2020 | ECCV | Learning to Learn with Variational Information Bottleneck for Domain Generalization. | Ying-Jun Du, Jun Xu, Huan Xiong, Qiang Qiu, Xiantong Zhen, Cees G. M. Snoek, Ling Shao |
| 2020 | ICLR | Stochastic Conditional Generative Networks with Basis Decomposition. | Ze Wang, Xiuyuan Cheng, Guillermo Sapiro, Qiang Qiu |
| 2020 | WACV | Variational Image Deraining. | Ying-Jun Du, Jun Xu, Qiang Qiu, Xiantong Zhen, Lei Zhang |
| 2020 | WACV | Model-Agnostic Metric for Zero-Shot Learning. | Jiayi Shen, Haochen Wang, Anran Zhang, Qiang Qiu, Xiantong Zhen, Xianbin Cao |
| 2019 | ACL | Hubless Nearest Neighbor Search for Bilingual Lexicon Induction. | Jiaji Huang, Qiang Qiu, Kenneth Church |
| 2019 | ICCV | Enhancing 2D Representation via Adjacent Views for 3D Shape Retrieval. | Cheng Xu, Zhaoqun Li, Qiang Qiu, Biao Leng, Jingfei Jiang |
| 2019 | ICLR | RotDCF: Decomposition of Convolutional Filters for Rotation-Equivariant Deep Networks. | Xiuyuan Cheng, Qiang Qiu, A. Robert Calderbank, Guillermo Sapiro |
| 2019 | ICML | Adversarially Learned Representations for Information Obfuscation and Inference. | Martn Bertrn, Natalia Martnez, Afroditi Papadaki, Qiang Qiu, Miguel R. D. Rodrigues, Galen Reeves, Guillermo Sapiro |
| 2019 | IGARSS | A Geohash Based Place2vec Model. | Jiaqi Jin, Zhuojian Xiao, Qiang Qiu, Jinyun Fang |
| 2018 | BMVC | In Defense of Single-column Networks for Crowd Counting. | Ze Wang, Zehao Xiao, Kai Xie, Qiang Qiu, Xiantong Zhen, Xianbin Cao |
| 2018 | CVPR | OL: Orthogonal Low-Rank Embedding - A Plug and Play Geometric Loss for Deep Learning. | Jos Lezama, Qiang Qiu, Pablo Mus, Guillermo Sapiro |
| 2018 | CVPR | Weakly Supervised Instance Segmentation Using Class Peak Response. | Yanzhao Zhou, Yi Zhu, Qixiang Ye, Qiang Qiu, Jianbin Jiao |
| 2018 | CVPR | LDMNet: Low Dimensional Manifold Regularized Neural Networks. | Wei Zhu, Qiang Qiu, Jiaji Huang, A. Robert Calderbank, Guillermo Sapiro, Ingrid Daubechies |
| 2018 | ECCV | ForestHash: Semantic Hashing with Shallow Random Forests and Tiny Convolutional Networks. | Qiang Qiu, Jos Lezama, Alexander M. Bronstein, Guillermo Sapiro |
| 2018 | ICASSP | Classifying Pump-Probe Images of Melanocytic Lesions Using the WEYL Transform. | Hyun Keun Ahn, Qiang Qiu, Edward Bosch, Andrew Thompson, Francisco E. Robles, Guillermo Sapiro, Warren S. Warren, A. Robert Calderbank |
| 2018 | ICML | DCFNet: Deep Neural Network with Decomposed Convolutional Filters. | Qiang Qiu, Xiuyuan Cheng, A. Robert Calderbank, Guillermo Sapiro |
| 2018 | IGARSS | Global Monitoring of Fault Zones and Volcanoes with Sentinel-1. | Andrew Hooper, Tim J. Wright, Karsten Spaans, John Elliott, Jonathan R. Weiss, Marco Bagnardi, Emma L. Hatton, Susanna K. Ebmeier, Matthew Gaddes, Qiang Qiu, Alistair McDougall, Richard J. Walters, Pablo J. Gonzlez, Fabien Albino, Juliet Biggs |
| 2017 | CVPR | Not Afraid of the Dark: NIR-VIS Face Recognition via Cross-Spectral Hallucination and Low-Rank Embedding. | Jos Lezama, Qiang Qiu, Guillermo Sapiro |
| 2017 | CVPR | Self-Learning Scene-Specific Pedestrian Detectors Using a Progressive Latent Model. | Qixiang Ye, Tianliang Zhang, Wei Ke, Qiang Qiu, Jie Chen, Guillermo Sapiro, Baochang Zhang |
| 2017 | CVPR | Oriented Response Networks. | Yanzhao Zhou, Qixiang Ye, Qiang Qiu, Jianbin Jiao |
| 2017 | DEXA | FTGWS: Forming Optimal Tutor Group for Weak Students Discovered in Educational Settings. | Yonghao Song, Hengyi Cai, Xiaohui Zheng, Qiang Qiu, Yan Jin, Xiaofang Zhao |
| 2017 | ICCV | Soft Proposal Networks for Weakly Supervised Object Localization. | Yi Zhu, Yanzhao Zhou, Qixiang Ye, Qiang Qiu, Jianbin Jiao |
| 2017 | IGARSS | A memory computing based method for vector spatial analysis. | Qiang Qiu, Zhuojian Xiao, Jinyun Fang |
| 2017 | IGARSS | A vector map overlay algorithm based on distributed queue. | Zhuojian Xiao, Qiang Qiu, Jinyun Fang, Shaolong Cui |
| 2016 | HCI | Synthesis-Based Low-Cost Gaze Analysis. | Zhuoqing Chang, Qiang Qiu, Guillermo Sapiro |
| 2016 | IAS | Online Adjusting Task Models for Ubiquitous Robotic Systems. | Wenshan Wang, Qixin Cao, Qiang Qiu, Gilbert K. Cheruiyot |
| 2015 | ICASSP | Alignment with intra-class structure can improve classification. | Jiaji Huang, Qiang Qiu, A. Robert Calderbank, Miguel R. D. Rodrigues, Guillermo Sapiro |
| 2015 | ICASSP | Classification of whale vocalizations using the Weyl transform. | Yin Xian, Andrew Thompson, Qiang Qiu, Loren W. Nolte, Douglas Nowacek, Jianfeng Lu, A. Robert Calderbank |
| 2015 | ICCV | Geometry-Aware Deep Transform. | Jiaji Huang, Qiang Qiu, A. Robert Calderbank, Guillermo Sapiro |
| 2015 | ICIP | Intel realsense = Real low cost gaze. | Mark Draelos, Qiang Qiu, Alexander M. Bronstein, Guillermo Sapiro |
| 2015 | ICIP | Cross-modality pose-invariant facial expression. | Jordan Hashemi, Qiang Qiu, Guillermo Sapiro |
| 2015 | IGARSS | Research on vector spatial data access based on Main memory database. | Xiao Yao, Qiang Qiu, Mengfei Zhang, Cuiting Chen, Jinyun Fang |
| 2015 | IGARSS | A novel methodology for parallel spatial overlay over vector data - A case study with shape file. | Xiaomin Zhu, Jidong Huo, Qiang Qiu |
| 2014 | ICIP | Learning Transformations. | Qiang Qiu, Guillermo Sapiro |
| 2014 | ICIP | Learning compressed image classification features. | Qiang Qiu, Guillermo Sapiro |
| 2013 | CVPR | Subspace Interpolation via Dictionary Learning for Unsupervised Domain Adaptation. | Jie Ni, Qiang Qiu, Rama Chellappa |
| 2013 | IGARSS | A parallel strategy for plane sweep algorithm in multi-core system. | Qiang Qiu, Xiaomin Zhu, Xiangzhen Yao, Jinyun Fang |
| 2013 | IGARSS | Fast parallel interpolation algorithm using CUDA. | Yanwei Zhao, Qiang Qiu, Jinyun Fang, Liang Li |
| 2013 | ITA | Dictionaries for image-based recognition. | Vishal M. Patel, Qiang Qiu, Rama Chellappa |
| 2012 | ECCV | Domain Adaptive Dictionary Learning. | Qiang Qiu, Vishal M. Patel, Pavan K. Turaga, Rama Chellappa |
| 2011 | ICCV | Sparse dictionary-based representation and recognition of action attributes. | Qiang Qiu, Zhuolin Jiang, Rama Chellappa |
| 2009 | ACML | Mining Multi-label Concept-Drifting Data Streams Using Dynamic Classifier Ensemble. | Wei Qu, Yang Zhang, Junping Zhu, Qiang Qiu |
| 2009 | ADMA | Building a Text Classifier by a Keyword and Wikipedia Knowledge. | Qiang Qiu, Yang Zhang, Junping Zhu, Wei Qu |
| 2009 | PAKDD | Building a Text Classifier by a Keyword and Unlabeled Documents. | Qiang Qiu, Yang Zhang, Junping Zhu |
| 2007 | FUSION | Multimodal information fusion for automated recognition of complex agitation behaviors of dementia patients. | Qiang Qiu, Foo Siang Fook, Aung Aung Phyo Wai, Viet Thang Pham, Maniyeri Jayachandran, Jit Biswas, Philip Lin Kiat Yap |
| 2006 | DASFAA | Assessing the Completeness of Sensor Data. | Jit Biswas, Felix Naumann, Qiang Qiu |
| 2006 | ETFA | Data Collection and Feature Extraction for a Smart Ward Application. | Jit Biswas, Victor Foo Siang Fook, Qiang Qiu, Maniyeri Jayachandran, Aung Aung Phyo Wai, Viet Thang Pham, That Mon Htwe |
| 2006 | FUSION | Fusion Considerations in Monitoring and Handling Agitation Behaviour for Persons with Dementia. | Victor Foo Siang Fook, Qiang Qiu, Jit Biswas, Aung Aung Phyo Wai |