Qiang Qiu - RankMe

142 papers A* 35A 6B 4Misc 3Journal 77Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AgenticLab: A Real-World Robot Agent Platform that Can See, Think, and Act. CoRR Pengyuan Guo, Zhonghao Mai, Zhengtong Xu, Kaidi Zhang, Heng Zhang, Zichen Miao, Arash Ajoudani, Zachary Kingston, Qiang Qiu, Yu She
2026	J	`jnl`	DiffOG: Differentiable Policy Trajectory Optimization With Generalizability. IEEE Trans. Robotics Zhengtong Xu, Zichen Miao, Qiang Qiu, Zhe Zhang, Yu She
2026	J	`jnl`	Guest Editorial: Special Issue on Visual Datasets. Int. J. Comput. Vis. Xin Zhao, Liang Zheng, Qiang Qiu, Yin Li, Limin Wang, José Lezama, Qiuhong Ke, Yongchan Kwon, Ruoxi Jia, Jungong Han
2025	A*	`conf`	Coeff-Tuning: A Graph Filter Subspace View for Tuning Attention-Based Large Models. CVPR Zichen Miao, Wei Chen, Qiang Qiu
2025	J	`jnl`	Coeff-Tuning: A Graph Filter Subspace View for Tuning Attention-Based Large Models. CoRR Zichen Miao, Wei Chen, Qiang Qiu
2025	A*	`conf`	Consistency Posterior Sampling for Diverse Image Synthesis. CVPR Vishal Purohit, Matthew Repasky, Jianfeng Lu, Qiang Qiu, Yao Xie, Xiuyuan Cheng
2025	J	`jnl`	DiffOG: Differentiable Policy Trajectory Optimization with Generalizability. CoRR Zhengtong Xu, Zichen Miao, Qiang Qiu, Zhe Zhang, Yu She
2025	J	`jnl`	Extra Clients at No Extra Cost: Overcome Data Heterogeneity in Federated Learning with Filter Decomposition. CoRR Wei Chen, Qiang Qiu
2025	J	`jnl`	In-Context Compositional Learning via Sparse Coding Transformer. CoRR Wei Chen, Jingxi Yu, Zichen Miao, Qiang Qiu
2025	A*	`conf`	Large Convolutional Model Tuning via Filter Subspace. ICLR Wei Chen, Zichen Miao, Qiang Qiu
2025	J	`jnl`	Learning to Unlearn while Retaining: Combating Gradient Conflicts in Machine Unlearning. CoRR Gaurav Patel, Qiang Qiu
2025	J	`jnl`	ManiFeel: Benchmarking and Understanding Visuotactile Manipulation Policy Learning. CoRR Quan Khanh Luu, Pokuang Zhou, Zhengtong Xu, Zhiyuan Zhang, Qiang Qiu, Yu She
2025	J	`jnl`	Real-Time 3-D Thermal Simulation of Advanced Packages via Generative Adversarial Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Seunghyun Hwang, Michael Joseph Smith, Vinicius C. Do Nascimento, Qiang Qiu, Cheng-Kok Koh, Ganesh Subbarayan, Dan Jiao
2025	A*	`conf`	SSOLE: Rethinking Orthogonal Low-rank Embedding for Self-Supervised Learning. ICLR Lun Huang, Qiang Qiu, Guillermo Sapiro
2025	J	`jnl`	Sparse Fine-Tuning of Transformers for Generative Tasks. CoRR Wei Chen, Jingxi Yu, Zichen Miao, Qiang Qiu
2025	A*	`conf`	Text Embedding is Not All You Need: Attention Control for Text-to-Image Semantic Alignment with Text Self-Attention Maps. CVPR Jeeyung Kim, Erfan Esmaeili, Qiang Qiu
2025	A*	`conf`	Tuning Timestep-Distilled Diffusion Model Using Pairwise Sample Optimization. ICLR Zichen Miao, Zhengyuan Yang, Kevin Lin, Ze Wang, Zicheng Liu, Lijuan Wang, Qiang Qiu
2025	J	`jnl`	VILP: Imitation Learning With Latent Video Planning. IEEE Robotics Autom. Lett. Zhengtong Xu, Qiang Qiu, Yu She
2025	J	`jnl`	VILP: Imitation Learning with Latent Video Planning. CoRR Zhengtong Xu, Qiang Qiu, Yu She
2024	J	`jnl`	Conditional Text-to-Image Generation with Reference Guidance. CoRR Taewook Kim, Ze Wang, Zhengyuan Yang, Jiang Wang, Lijuan Wang, Zicheng Liu, Qiang Qiu
2024	—	`conf`	Constructing Concept-Based Models to Mitigate Spurious Correlations with Minimal Human Effort. ECCV (80) Jeeyung Kim, Ze Wang, Qiang Qiu
2024	J	`jnl`	Constructing Concept-based Models to Mitigate Spurious Correlations with Minimal Human Effort. CoRR Jeeyung Kim, Ze Wang, Qiang Qiu
2024	A*	`conf`	Generative Quanta Color Imaging. CVPR Vishal Purohit, Junjie Luo, Yiheng Chi, Qi Guo, Stanley H. Chan, Qiang Qiu
2024	J	`jnl`	Generative Quanta Color Imaging. CoRR Vishal Purohit, Junjie Luo, Yiheng Chi, Qi Guo, Stanley H. Chan, Qiang Qiu
2024	J	`jnl`	Large Convolutional Model Tuning via Filter Subspace. CoRR Wei Chen, Zichen Miao, Qiang Qiu
2024	J	`jnl`	Learning to Customize Text-to-Image Diffusion In Diverse Context. CoRR Taewook Kim, Wei Chen, Qiang Qiu
2024	J	`jnl`	Model-Agnostic Human Preference Inversion in Diffusion Models. CoRR Jeeyung Kim, Ze Wang, Qiang Qiu
2024	—	`conf`	PQ-VAE: Learning Hierarchical Discrete Representations with Progressive Quantization. CVPR Workshops Lun Huang, Qiang Qiu, Guillermo Sapiro
2024	J	`jnl`	Posterior sampling via Langevin dynamics based on generative priors. CoRR Vishal Purohit, Matthew Repasky, Jianfeng Lu, Qiang Qiu, Yao Xie, Xiuyuan Cheng
2024	J	`jnl`	Text Embedding is Not All You Need: Attention Control for Text-to-Image Semantic Alignment with Text Self-Attention Maps. CoRR Jeeyung Kim, Erfan Esmaeili, Qiang Qiu
2024	A*	`conf`	Training Bayesian Neural Networks with Sparse Subspace Variational Inference. ICLR Junbo Li, Zichen Miao, Qiang Qiu, Ruqi Zhang
2024	J	`jnl`	Training Bayesian Neural Networks with Sparse Subspace Variational Inference. CoRR Junbo Li, Zichen Miao, Qiang Qiu, Ruqi Zhang
2024	A*	`conf`	Training Diffusion Models Towards Diverse Image Generation with Reinforcement Learning. CVPR Zichen Miao, Jiang Wang, Ze Wang, Zhengyuan Yang, Lijuan Wang, Qiang Qiu, Zicheng Liu
2024	J	`jnl`	Tuning Timestep-Distilled Diffusion Model Using Pairwise Sample Optimization. CoRR Zichen Miao, Zhengyuan Yang, Kevin Lin, Ze Wang, Zicheng Liu, Lijuan Wang, Qiang Qiu
2023	A*	`conf`	Binary Latent Diffusion. CVPR Ze Wang, Jiang Wang, Zicheng Liu, Qiang Qiu
2023	J	`jnl`	Binary Latent Diffusion. CoRR Ze Wang, Jiang Wang, Zicheng Liu, Qiang Qiu
2023	A*	`conf`	Energy-Inspired Self-Supervised Pretraining for Vision Models. ICLR Ze Wang, Jiang Wang, Zicheng Liu, Qiang Qiu
2023	J	`jnl`	Energy-Inspired Self-Supervised Pretraining for Vision Models. CoRR Ze Wang, Jiang Wang, Zicheng Liu, Qiang Qiu
2023	A	`conf`	FLAIR: Defense against Model Poisoning Attack in Federated Learning. AsiaCCS Atul Sharma, Wei Chen, Joshua C. Zhao, Qiang Qiu, Saurabh Bagchi, Somali Chaterji
2023	—	`conf`	How to Learn Collaboratively - Federated Learning to Peer-to-Peer Learning and What's at Stake. DSN-S Atul Sharma, Joshua C. Zhao, Wei Chen, Qiang Qiu, Saurabh Bagchi, Somali Chaterji
2023	A*	`conf`	Inner Product-based Neural Network Similarity. NeurIPS Wei Chen, Zichen Miao, Qiang Qiu
2023	A*	`conf`	Learning to Retain while Acquiring: Combating Distribution-Shift in Adversarial Data-Free Knowledge Distillation. CVPR Gaurav Patel, Konda Reddy Mopuri, Qiang Qiu
2023	J	`jnl`	Learning to Retain while Acquiring: Combating Distribution-Shift in Adversarial Data-Free Knowledge Distillation. CoRR Gaurav Patel, Konda Reddy Mopuri, Qiang Qiu
2023	A	`conf`	Meta-OLE: Meta-learned Orthogonal Low-Rank Embedding. WACV Ze Wang, Yue Lu, Qiang Qiu
2023	A	`conf`	Seq-UPS: Sequential Uncertainty-aware Pseudo-label Selection for Semi-Supervised Text Recognition. WACV Gaurav Patel, Jan P. Allebach, Qiang Qiu
2023	A*	`conf`	Structural Re-weighting Improves Graph Domain Adaptation. ICML Shikun Liu, Tianchun Li, Yongbin Feng, Nhan Tran, Han Zhao, Qiang Qiu, Pan Li
2023	J	`jnl`	Structural Re-weighting Improves Graph Domain Adaptation. CoRR Shikun Liu, Tianchun Li, Yongbin Feng, Nhan Tran, Han Zhao, Qiang Qiu, Pan Li
2022	A*	`conf`	Continual Learning with Filter Atom Swapping. ICLR Zichen Miao, Ze Wang, Wei Chen, Qiang Qiu
2022	J	`jnl`	Scaling-Translation-Equivariant Networks with Decomposed Convolutional Filters. J. Mach. Learn. Res. Wei Zhu, Qiang Qiu, A. Robert Calderbank, Guillermo Sapiro, Xiuyuan Cheng
2022	J	`jnl`	Seq-UPS: Sequential Uncertainty-aware Pseudo-label Selection for Semi-Supervised Text Recognition. CoRR Gaurav Patel, Jan P. Allebach, Qiang Qiu
2021	A*	`conf`	Adaptive Convolutions with Per-pixel Dynamic Filter Atom. ICCV Ze Wang, Zichen Miao, Jun Hu, Qiang Qiu
2021	J	`jnl`	Adaptive Convolutions with Per-pixel Dynamic Filter Atom. CoRR Ze Wang, Zichen Miao, Jun Hu, Qiang Qiu
2021	A*	`conf`	Cirrus: A Long-range Bi-pattern LiDAR Dataset. ICRA Ze Wang, Sihao Ding, Ying Li, Jonas Fenn, Sohini Roychowdhury, Andreas Wallin, Lane Martin, Scott Ryvola, Guillermo Sapiro, Qiang Qiu
2021	J	`jnl`	Computer Vision Analysis for Quantification of Autism Risk Behaviors. IEEE Trans. Affect. Comput. Jordan Hashemi, Geraldine Dawson, Kimberly L. H. Carpenter, Kathleen Campbell, Qiang Qiu, Steven Espinosa, Samuel Marsan, Jeffrey P. Baker, Helen Link Egger, Guillermo Sapiro
2021	J	`jnl`	Deep ladder reconstruction-classification network for unsupervised domain adaptation. Pattern Recognit. Lett. Wanxia Deng, Zhuo Su, Qiang Qiu, Lingjun Zhao, Gangyao Kuang, Matti Pietikäinen, Huaxin Xiao, Li Liu
2021	A*	`conf`	Graph Convolution with Low-rank Learnable Local Filters. ICLR Xiuyuan Cheng, Zichen Miao, Qiang Qiu
2021	A*	`conf`	Image Generation using Continuous Filter Atoms. NeurIPS Ze Wang, Seunghyun Hwang, Zichen Miao, Qiang Qiu
2021	A*	`conf`	Learning to Learn Dense Gaussian Processes for Few-Shot Learning. NeurIPS Ze Wang, Zichen Miao, Xiantong Zhen, Qiang Qiu
2021	J	`jnl`	Rethinking Shape From Shading for Spoofing Detection. IEEE Trans. Image Process. J. Matías Di Martino, Qiang Qiu, Guillermo Sapiro
2021	A*	`conf`	Run-Sort-ReRun: Escaping Batch Size Limitations in Sliced Wasserstein Generative Models. ICML José Lezama, Wei Chen, Qiang Qiu
2021	A*	`conf`	Spatiotemporal Joint Filter Decomposition in 3D Convolutional Neural Networks. NeurIPS Zichen Miao, Ze Wang, Xiuyuan Cheng, Qiang Qiu
2021	J	`jnl`	TESSERACT: Gradient Flip Score to Secure Federated Learning Against Model Poisoning Attacks. CoRR Atul Sharma, Wei Chen, Joshua C. Zhao, Qiang Qiu, Somali Chaterji, Saurabh Bagchi
2021	—	`conf`	Using Text To Teach Image Retrieval. CVPR Workshops Haoyu Dong, Ze Wang, Qiang Qiu, Guillermo Sapiro
2020	A*	`conf`	A Dictionary Approach to Domain-Invariant Learning in Deep Networks. NeurIPS Ze Wang, Xiuyuan Cheng, Guillermo Sapiro, Qiang Qiu
2020	J	`jnl`	ACDC: Weight Sharing in Atom-Coefficient Decomposed Convolution. CoRR Ze Wang, Xiuyuan Cheng, Guillermo Sapiro, Qiang Qiu
2020	J	`jnl`	Cirrus: A Long-range Bi-pattern LiDAR Dataset. CoRR Ze Wang, Sihao Ding, Ying Li, Jonas Fenn, Sohini Roychowdhury, Andreas Wallin, Lane Martin, Scott Ryvola, Guillermo Sapiro, Qiang Qiu
2020	J	`jnl`	Differential 3D Facial Recognition: Adding 3D to Your State-of-the-Art 2D Method. CoRR J. Matías Di Martino, Fernando Suzacq, Mauricio Delbracio, Qiang Qiu, Guillermo Sapiro
2020	J	`jnl`	Differential 3D Facial Recognition: Adding 3D to Your State-of-the-Art 2D Method. IEEE Trans. Pattern Anal. Mach. Intell. J. Matías Di Martino, Fernando Suzacq, Mauricio Delbracio, Qiang Qiu, Guillermo Sapiro
2020	J	`jnl`	Graph Neural Networks with Low-rank Learnable Local Filters. CoRR Xiuyuan Cheng, Zichen Miao, Qiang Qiu
2020	A*	`conf`	Learning to Learn Variational Semantic Memory. NeurIPS Xiantong Zhen, Ying-Jun Du, Huan Xiong, Qiang Qiu, Cees Snoek, Ling Shao
2020	J	`jnl`	Learning to Learn Variational Semantic Memory. CoRR Xiantong Zhen, Ying-Jun Du, Huan Xiong, Qiang Qiu, Cees G. M. Snoek, Ling Shao
2020	—	`conf`	Learning to Learn with Variational Information Bottleneck for Domain Generalization. ECCV (10) Ying-Jun Du, Jun Xu, Huan Xiong, Qiang Qiu, Xiantong Zhen, Cees G. M. Snoek, Ling Shao
2020	J	`jnl`	Learning to Learn with Variational Information Bottleneck for Domain Generalization. CoRR Ying-Jun Du, Jun Xu, Huan Xiong, Qiang Qiu, Xiantong Zhen, Cees G. M. Snoek, Ling Shao
2020	J	`jnl`	Low to High Dimensional Modality Hallucination Using Aggregated Fields of View. IEEE Robotics Autom. Lett. Kausic Gunasekar, Qiang Qiu, Yezhou Yang
2020	A	`conf`	Model-Agnostic Metric for Zero-Shot Learning. WACV Jiayi Shen, Haochen Wang, Anran Zhang, Qiang Qiu, Xiantong Zhen, Xianbin Cao
2020	A*	`conf`	Stochastic Conditional Generative Networks with Basis Decomposition. ICLR Ze Wang, Xiuyuan Cheng, Guillermo Sapiro, Qiang Qiu
2020	J	`jnl`	Using Text to Teach Image Retrieval. CoRR Haoyu Dong, Ze Wang, Qiang Qiu, Guillermo Sapiro
2020	A	`conf`	Variational Image Deraining. WACV Ying-Jun Du, Jun Xu, Qiang Qiu, Xiantong Zhen, Lei Zhang
2019	A*	`conf`	Adversarially Learned Representations for Information Obfuscation and Inference. ICML Martín Bertrán, Natalia Martínez, Afroditi Papadaki, Qiang Qiu, Miguel R. D. Rodrigues, Galen Reeves, Guillermo Sapiro
2019	J	`jnl`	Domain-invariant Learning using Adaptive Filter Decomposition. CoRR Ze Wang, Xiuyuan Cheng, Guillermo Sapiro, Qiang Qiu
2019	—	`conf`	Range Adaptation for 3D Object Detection in LiDAR. ICCV Workshops Ze Wang, Sihao Ding, Ying Li, Minming Zhao, Sohini Roychowdhury, Andreas Wallin, Guillermo Sapiro, Qiang Qiu
2019	J	`jnl`	Range Adaptation for 3D Object Detection in LiDAR. CoRR Ze Wang, Sihao Ding, Ying Li, Minming Zhao, Sohini Roychowdhury, Andreas Wallin, Guillermo Sapiro, Qiang Qiu
2019	—	`conf`	RotDCF: Decomposition of Convolutional Filters for Rotation-Equivariant Deep Networks. ICLR (Poster) Xiuyuan Cheng, Qiang Qiu, A. Robert Calderbank, Guillermo Sapiro
2019	J	`jnl`	SalGaze: Personalizing Gaze Estimation Using Visual Saliency. CoRR Zhuoqing Chang, J. Matías Di Martino, Qiang Qiu, Steven Espinosa, Guillermo Sapiro
2019	—	`conf`	SalGaze: Personalizing Gaze Estimation using Visual Saliency. ICCV Workshops Zhuoqing Chang, J. Matías Di Martino, Qiang Qiu, Steven Espinosa, Guillermo Sapiro
2019	J	`jnl`	Scale-Equivariant Neural Networks with Decomposed Convolutional Filters. CoRR Wei Zhu, Qiang Qiu, A. Robert Calderbank, Guillermo Sapiro, Xiuyuan Cheng
2019	J	`jnl`	Stochastic Conditional Generative Networks with Basis Decomposition. CoRR Ze Wang, Xiuyuan Cheng, Guillermo Sapiro, Qiang Qiu
2019	J	`jnl`	Stop Memorizing: A Data-Dependent Regularization Framework for Intrinsic Pattern Learning. SIAM J. Math. Data Sci. Wei Zhu, Qiang Qiu, Bao Wang, Jianfeng Lu, Guillermo Sapiro, Ingrid Daubechies
2018	J	`jnl`	Automatic emotion and attention analysis of young children at home: a ResearchKit autism feasibility study. npj Digit. Medicine Helen Link Egger, Geraldine Dawson, Jordan Hashemi, Kimberly L. H. Carpenter, Steven Espinosa, Kathleen Campbell, Samuel Brotkin, Jana Schaich Borg, Qiang Qiu, Mariano Tepper, Jeffrey P. Baker, Richard A. Bloomfield Jr., Guillermo Sapiro
2018	Misc	`conf`	Classifying Pump-Probe Images of Melanocytic Lesions Using the WEYL Transform. ICASSP Hyun Keun Ahn, Qiang Qiu, Edward Bosch, Andrew Thompson, Francisco E. Robles, Guillermo Sapiro, Warren S. Warren, A. Robert Calderbank
2018	A*	`conf`	DCFNet: Deep Neural Network with Decomposed Convolutional Filters. ICML Qiang Qiu, Xiuyuan Cheng, A. Robert Calderbank, Guillermo Sapiro
2018	J	`jnl`	DCFNet: Deep Neural Network with Decomposed Convolutional Filters. CoRR Qiang Qiu, Xiuyuan Cheng, A. Robert Calderbank, Guillermo Sapiro
2018	—	`conf`	ForestHash: Semantic Hashing with Shallow Random Forests and Tiny Convolutional Networks. ECCV (2) Qiang Qiu, José Lezama, Alexander M. Bronstein, Guillermo Sapiro
2018	A	`conf`	In Defense of Single-column Networks for Crowd Counting. BMVC Ze Wang, Zehao Xiao, Kai Xie, Qiang Qiu, Xiantong Zhen, Xianbin Cao
2018	J	`jnl`	In Defense of Single-column Networks for Crowd Counting. CoRR Ze Wang, Zehao Xiao, Kai Xie, Qiang Qiu, Xiantong Zhen, Xianbin Cao
2018	A*	`conf`	LDMNet: Low Dimensional Manifold Regularized Neural Networks. CVPR Wei Zhu, Qiang Qiu, Jiaji Huang, A. Robert Calderbank, Guillermo Sapiro, Ingrid Daubechies
2018	J	`jnl`	LaneNet: Real-Time Lane Detection Networks for Autonomous Driving. CoRR Ze Wang, Weiqiang Ren, Qiang Qiu
2018	J	`jnl`	Learning to Collaborate for User-Controlled Privacy. CoRR Martín Bertrán, Natalia Martínez, Afroditi Papadaki, Qiang Qiu, Miguel R. D. Rodrigues, Guillermo Sapiro
2018	J	`jnl`	Liveness Detection Using Implicit 3D Features. CoRR J. Matías Di Martino, Qiang Qiu, Trishul Nagenalli, Guillermo Sapiro
2018	A*	`conf`	OLÉ: Orthogonal Low-Rank Embedding - A Plug and Play Geometric Loss for Deep Learning. CVPR José Lezama, Qiang Qiu, Pablo Musé, Guillermo Sapiro
2018	J	`jnl`	RotDCF: Decomposition of Convolutional Filters for Rotation-Equivariant Deep Networks. CoRR Xiuyuan Cheng, Qiang Qiu, A. Robert Calderbank, Guillermo Sapiro
2018	J	`jnl`	Stop memorizing: A data-dependent regularization framework for intrinsic pattern learning. CoRR Wei Zhu, Qiang Qiu, Bao Wang, Jianfeng Lu, Guillermo Sapiro, Ingrid Daubechies
2018	J	`jnl`	Virtual CNN Branching: Efficient Feature Ensemble for Person Re-Identification. CoRR Albert Gong, Qiang Qiu, Guillermo Sapiro
2018	A*	`conf`	Weakly Supervised Instance Segmentation Using Class Peak Response. CVPR Yanzhao Zhou, Yi Zhu, Qixiang Ye, Qiang Qiu, Jianbin Jiao
2018	J	`jnl`	Weakly Supervised Instance Segmentation using Class Peak Response. CoRR Yanzhao Zhou, Yi Zhu, Qixiang Ye, Qiang Qiu, Jianbin Jiao
2017	J	`jnl`	ForestHash: Semantic Hashing With Shallow Random Forests and Tiny Convolutional Networks. CoRR Qiang Qiu, José Lezama, Alexander M. Bronstein, Guillermo Sapiro
2017	—	`conf`	Intelligent Synthesis Driven Model Calibration: Framework and Face Recognition Application. ICCV Workshops Qiang Qiu, Jordan Hashemi, Guillermo Sapiro
2017	J	`jnl`	LDMNet: Low Dimensional Manifold Regularized Neural Networks. CoRR Wei Zhu, Qiang Qiu, Jiaji Huang, A. Robert Calderbank, Guillermo Sapiro, Ingrid Daubechies
2017	—	`conf`	Learning to Identify While Failing to Discriminate. ICCV Workshops Jure Sokolic, Miguel R. D. Rodrigues, Qiang Qiu, Guillermo Sapiro
2017	J	`jnl`	Learning to Succeed while Teaching to Fail: Privacy in Closed Machine Learning Systems. CoRR Jure Sokolic, Qiang Qiu, Miguel R. D. Rodrigues, Guillermo Sapiro
2017	A*	`conf`	Not Afraid of the Dark: NIR-VIS Face Recognition via Cross-Spectral Hallucination and Low-Rank Embedding. CVPR José Lezama, Qiang Qiu, Guillermo Sapiro
2017	J	`jnl`	OLÉ: Orthogonal Low-rank Embedding, A Plug and Play Geometric Loss for Deep Learning. CoRR José Lezama, Qiang Qiu, Pablo Musé, Guillermo Sapiro
2017	A*	`conf`	Oriented Response Networks. CVPR Yanzhao Zhou, Qixiang Ye, Qiang Qiu, Jianbin Jiao
2017	J	`jnl`	Oriented Response Networks. CoRR Yanzhao Zhou, Qixiang Ye, Qiang Qiu, Jianbin Jiao
2017	A*	`conf`	Self-Learning Scene-Specific Pedestrian Detectors Using a Progressive Latent Model. CVPR Qixiang Ye, Tianliang Zhang, Wei Ke, Qiang Qiu, Jie Chen, Guillermo Sapiro, Baochang Zhang
2017	A*	`conf`	Soft Proposal Networks for Weakly Supervised Object Localization. ICCV Yi Zhu, Yanzhao Zhou, Qixiang Ye, Qiang Qiu, Jianbin Jiao
2017	J	`jnl`	Soft Proposal Networks for Weakly Supervised Object Localization. CoRR Yi Zhu, Yanzhao Zhou, Qixiang Ye, Qiang Qiu, Jianbin Jiao
2016	J	`jnl`	A scalable app for measuring autism risk behaviors in young children: A technical validity and feasibility study. EAI Endorsed Trans. Scalable Inf. Syst. Jordan Hashemi, Kathleen Campbell, Kimberly L. H. Carpenter, Adrianne Harris, Qiang Qiu, Mariano Tepper, Steven Espinosa, Jana Schaich Borg, Samuel Marsan, A. Robert Calderbank, Jeffrey P. Baker, Helen Link Egger, Geraldine Dawson, Guillermo Sapiro
2016	J	`jnl`	Data Representation Using the Weyl Transform. IEEE Trans. Signal Process. Qiang Qiu, Andrew Thompson, A. Robert Calderbank, Guillermo Sapiro
2016	J	`jnl`	Low-cost Gaze and Pulse Analysis using RealSense. EAI Endorsed Trans. Ambient Syst. Qiang Qiu, Zhuoqing Chang, Mark Draelos, Jie Chen, Alexander M. Bronstein, Guillermo Sapiro
2016	J	`jnl`	Not Afraid of the Dark: NIR-VIS Face Recognition via Cross-spectral Hallucination and Low-rank Embedding. CoRR José Lezama, Qiang Qiu, Guillermo Sapiro
2016	—	`conf`	RealSense = real heart rate: Illumination invariant heart rate estimation from videos. IPTA Jie Chen, Zhuoqing Chang, Qiang Qiu, Xiaobai Li, Guillermo Sapiro, Alexander M. Bronstein, Matti Pietikäinen
2016	J	`jnl`	Self-learning Scene-specific Pedestrian Detectors using a Progressive Latent Model. CoRR Qixiang Ye, Tianliang Zhang, Qiang Qiu, Baochang Zhang, Jie Chen, Guillermo Sapiro
2016	—	`conf`	Synthesis-Based Low-Cost Gaze Analysis. HCI (27) Zhuoqing Chang, Qiang Qiu, Guillermo Sapiro
2016	J	`jnl`	The Role of Principal Angles in Subspace Classification. IEEE Trans. Signal Process. Jiaji Huang, Qiang Qiu, A. Robert Calderbank
2015	Misc	`conf`	Alignment with intra-class structure can improve classification. ICASSP Jiaji Huang, Qiang Qiu, A. Robert Calderbank, Miguel R. D. Rodrigues, Guillermo Sapiro
2015	Misc	`conf`	Classification of whale vocalizations using the Weyl transform. ICASSP Yin Xian, Andrew Thompson, Qiang Qiu, Loren W. Nolte, Douglas Nowacek, Jianfeng Lu, A. Robert Calderbank
2015	B	`conf`	Cross-modality pose-invariant facial expression. ICIP Jordan Hashemi, Qiang Qiu, Guillermo Sapiro
2015	—	`conf`	Discriminative Robust Transformation Learning. NIPS Jiaji Huang, Qiang Qiu, Guillermo Sapiro, A. Robert Calderbank
2015	A*	`conf`	Geometry-Aware Deep Transform. ICCV Jiaji Huang, Qiang Qiu, A. Robert Calderbank, Guillermo Sapiro
2015	J	`jnl`	Geometry-aware Deep Transform. CoRR Jiaji Huang, Qiang Qiu, A. Robert Calderbank, Guillermo Sapiro
2015	B	`conf`	Intel realsense = Real low cost gaze. ICIP Mark Draelos, Qiang Qiu, Alexander M. Bronstein, Guillermo Sapiro
2015	J	`jnl`	Learning transformations for clustering and classification. J. Mach. Learn. Res. Qiang Qiu, Guillermo Sapiro
2015	—	`conf`	Random Forests Can Hash. ICLR (Workshop) Qiang Qiu, Guillermo Sapiro, Alexander M. Bronstein
2015	—	`conf`	Representation using the Weyl Transform. ICLR (Workshop) Qiang Qiu, Andrew Thompson, A. Robert Calderbank, Guillermo Sapiro
2015	J	`jnl`	The Role of Principal Angles in Subspace Classification. CoRR Jiaji Huang, Qiang Qiu, A. Robert Calderbank
2014	—	`conf`	Learning Transformations for Classification Forests. ICLR Qiang Qiu, Guillermo Sapiro
2014	B	`conf`	Learning Transformations. ICIP Qiang Qiu, Guillermo Sapiro
2014	B	`conf`	Learning compressed image classification features. ICIP Qiang Qiu, Guillermo Sapiro
2013	J	`jnl`	Domain-invariant Face Recognition using Learned Low-rank Transformation. CoRR Qiang Qiu, Guillermo Sapiro, Ching-Hui Chen
2013	J	`jnl`	Learning Robust Subspace Clustering. CoRR Qiang Qiu, Guillermo Sapiro
2013	J	`jnl`	Learning Transformations for Clustering and Classification. CoRR Qiang Qiu, Guillermo Sapiro