Qiang Qiu

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 142

Top Venues

University of Maryland, College Park, MD, USA (PHD)

Education History

University of Maryland, College Park, MD, USA

PHD

Publications

Yujie Li, Zezhi Shao, Yongjun Xu, Qiang Qiu, Zhaogang Cao, Fei Wang
Dynamic Frequency Domain Graph Convolutional Network for Traffic Forecasting. ICASSP (2024)
Sipeng Yang, Qingchuan Zhu, Junhao Zhuge, Qiang Qiu, Chen Li, Yuzhong Yan, Huihui Xu, Ling-Qi Yan, Xiaogang Jin
Mob-FGSR: Frame Generation and Super Resolution for Mobile Real-Time Rendering. SIGGRAPH (Conference Paper Track) (2024)
Junbo Li, Zichen Miao, Qiang Qiu, Ruqi Zhang
Training Bayesian Neural Networks with Sparse Subspace Variational Inference. CoRR (2024)
Jeeyung Kim, Ze Wang, Qiang Qiu
Constructing Concept-based Models to Mitigate Spurious Correlations with Minimal Human Effort. CoRR (2024)
Junbo Li, Zichen Miao, Qiang Qiu, Ruqi Zhang
Training Bayesian Neural Networks with Sparse Subspace Variational Inference. ICLR (2024)
Daixian Zhu, Peixuan Liu, Qiang Qiu, Jiaxin Wei, Ruolin Gong
BY-SLAM: Dynamic Visual SLAM System Based on BEBLID and Semantic Information Extraction. Sensors 24 (14) (2024)
Jeeyung Kim, Ze Wang, Qiang Qiu
Model-Agnostic Human Preference Inversion in Diffusion Models. CoRR (2024)
Wei Chen, Zichen Miao, Qiang Qiu
Large Convolutional Model Tuning via Filter Subspace. CoRR (2024)
Vishal Purohit, Junjie Luo, Yiheng Chi, Qi Guo, Stanley H. Chan, Qiang Qiu
Generative Quanta Color Imaging. CoRR (2024)
Ze Wang, Jiang Wang, Zicheng Liu, Qiang Qiu
Binary Latent Diffusion. CoRR (2023)
Atul Sharma, Joshua C. Zhao, Wei Chen, Qiang Qiu, Saurabh Bagchi, Somali Chaterji
How to Learn Collaboratively - Federated Learning to Peer-to-Peer Learning and What's at Stake. DSN-S (2023)
Gaurav Patel, Jan P. Allebach, Qiang Qiu
Seq-UPS: Sequential Uncertainty-aware Pseudo-label Selection for Semi-Supervised Text Recognition. WACV (2023)
Ze Wang, Yue Lu, Qiang Qiu
Meta-OLE: Meta-learned Orthogonal Low-Rank Embedding. WACV (2023)
Ze Wang, Jiang Wang, Zicheng Liu, Qiang Qiu
Energy-Inspired Self-Supervised Pretraining for Vision Models. ICLR (2023)
Atul Sharma, Wei Chen, Joshua C. Zhao, Qiang Qiu, Saurabh Bagchi, Somali Chaterji
FLAIR: Defense against Model Poisoning Attack in Federated Learning. AsiaCCS (2023)
Chenhao Li, Qiang Qiu, Zhibin Zhang, Jiafeng Guo, Xueqi Cheng
Learning Adversarially Robust Sparse Networks via Weight Reparameterization. AAAI (2023)
Ze Wang, Jiang Wang, Zicheng Liu, Qiang Qiu
Energy-Inspired Self-Supervised Pretraining for Vision Models. CoRR (2023)
Wei Chen, Zichen Miao, Qiang Qiu
Inner Product-based Neural Network Similarity. NeurIPS (2023)
Yujie Li, Zezhi Shao, Yongjun Xu, Qiang Qiu, Zhaogang Cao, Fei Wang
Dynamic Frequency Domain Graph Convolutional Network for Traffic Forecasting. CoRR (2023)
Shikun Liu, Tianchun Li, Yongbin Feng, Nhan Tran, Han Zhao, Qiang Qiu, Pan Li
Structural Re-weighting Improves Graph Domain Adaptation. ICML (2023)
Gaurav Patel, Konda Reddy Mopuri, Qiang Qiu
Learning to Retain while Acquiring: Combating Distribution-Shift in Adversarial Data-Free Knowledge Distillation. CoRR (2023)
Gaurav Patel, Konda Reddy Mopuri, Qiang Qiu
Learning to Retain while Acquiring: Combating Distribution-Shift in Adversarial Data-Free Knowledge Distillation. CVPR (2023)
Ze Wang, Jiang Wang, Zicheng Liu, Qiang Qiu
Binary Latent Diffusion. CVPR (2023)
Zichen Miao, Ze Wang, Wei Chen, Qiang Qiu
Continual Learning with Filter Atom Swapping. ICLR (2022)
Jie Feng, Yong Li, Zeyu Yang, Qiang Qiu, Depeng Jin
Predicting Human Mobility With Semantic Motivation via Multi-Task Attentional Recurrent Networks. IEEE Trans. Knowl. Data Eng. 34 (5) (2022)
Gaurav Patel, Jan P. Allebach, Qiang Qiu
Seq-UPS: Sequential Uncertainty-aware Pseudo-label Selection for Semi-Supervised Text Recognition. CoRR (2022)
Sheikh Shams Azam, Seyyedali Hosseinalipour, Qiang Qiu, Christopher G. Brinton
Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank? CoRR (2022)
Wei Zhu, Qiang Qiu, A. Robert Calderbank, Guillermo Sapiro, Xiuyuan Cheng
Scaling-Translation-Equivariant Networks with Decomposed Convolutional Filters. J. Mach. Learn. Res. 23 (2022)
Chi Zhang, Hong-Yu Zhou, Qiang Qiu, Zhichun Jian, Daoye Zhu, Chengqi Cheng, Liesong He, Guoping Liu, Xiang Wen, Runbo Hu
Augmented Multi-Component Recurrent Graph Convolutional Network for Traffic Flow Forecasting. ISPRS Int. J. Geo Inf. 11 (2) (2022)
Sheikh Shams Azam, Seyyedali Hosseinalipour, Qiang Qiu, Christopher G. Brinton
Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank? ICLR (2022)
Min Li, Baosheng Wu, Peng Zhang, Ye Li, Wenjie Xu, Kun Wang, Qiang Qiu, Jun Zhang, Jie Li, Chi Zhang, Jiangtao Fan, Chenguang Feng, Zuozhi Chen
Genomes of Two Flying Squid Species Provide Novel Insights into Adaptations of Cephalopods to Pelagic Life. Genom. Proteom. Bioinform. 20 (6) (2022)
Ze Wang, Sihao Ding, Ying Li, Jonas Fenn, Sohini Roychowdhury, Andreas Wallin, Lane Martin, Scott Ryvola, Guillermo Sapiro, Qiang Qiu
Cirrus: A Long-range Bi-pattern LiDAR Dataset. ICRA (2021)
Zhenjie Liu, Qiang Qiu, Jun Li, Lizhe Wang, Antonio Plaza
Geographic Optimal Transport for Heterogeneous Data: Fusing Remote Sensing and Social Media. IEEE Trans. Geosci. Remote. Sens. 59 (8) (2021)
Zichen Miao, Ze Wang, Xiuyuan Cheng, Qiang Qiu
Spatiotemporal Joint Filter Decomposition in 3D Convolutional Neural Networks. NeurIPS (2021)
Ze Wang, Zichen Miao, Jun Hu, Qiang Qiu
Adaptive Convolutions with Per-pixel Dynamic Filter Atom. ICCV (2021)
Ze Wang, Zichen Miao, Xiantong Zhen, Qiang Qiu
Learning to Learn Dense Gaussian Processes for Few-Shot Learning. NeurIPS (2021)
Jiaji Huang, Qiang Qiu, Kenneth Church
Exploiting a Zoo of Checkpoints for Unseen Tasks. NeurIPS (2021)
Haoyu Dong, Ze Wang, Qiang Qiu, Guillermo Sapiro
Using Text To Teach Image Retrieval. CVPR Workshops (2021)
Ze Wang, Seunghyun Hwang, Zichen Miao, Qiang Qiu
Image Generation using Continuous Filter Atoms. NeurIPS (2021)
Atul Sharma, Wei Chen, Joshua Zhao, Qiang Qiu, Somali Chaterji, Saurabh Bagchi
TESSERACT: Gradient Flip Score to Secure Federated Learning Against Model Poisoning Attacks. CoRR (2021)
Jordan Hashemi, Geraldine Dawson, Kimberly L. H. Carpenter, Kathleen Campbell, Qiang Qiu, Steven Espinosa, Samuel Marsan, Jeffrey P. Baker, Helen Link Egger, Guillermo Sapiro
Computer Vision Analysis for Quantification of Autism Risk Behaviors. IEEE Trans. Affect. Comput. 12 (1) (2021)
José Lezama, Wei Chen, Qiang Qiu
Run-Sort-ReRun: Escaping Batch Size Limitations in Sliced Wasserstein Generative Models. ICML (2021)
Xiuyuan Cheng, Zichen Miao, Qiang Qiu
Graph Convolution with Low-rank Learnable Local Filters. ICLR (2021)
Qiaoling Zhong, Zhibin Zhang, Qiang Qiu, Xueqi Cheng
Roulette: A Pruning Framework to Train a Sparse Neural Network From Scratch. IEEE Access 9 (2021)
Ze Wang, Zichen Miao, Jun Hu, Qiang Qiu
Adaptive Convolutions with Per-pixel Dynamic Filter Atom. CoRR (2021)
Jiaji Huang, Qiang Qiu, Kenneth Church
Exploiting a Zoo of Checkpoints for Unseen Tasks. CoRR (2021)
Mitchell E. Gronowitz, Adam Liu, Qiang Qiu, C. Ron Yu, Thomas A. Cleland
A physicochemical model of odor sampling. PLoS Comput. Biol. 17 (6) (2021)
J. Matías Di Martino, Qiang Qiu, Guillermo Sapiro
Rethinking Shape From Shading for Spoofing Detection. IEEE Trans. Image Process. 30 (2021)
Wanxia Deng, Zhuo Su, Qiang Qiu, Lingjun Zhao, Gangyao Kuang, Matti Pietikäinen, Huaxin Xiao, Li Liu
Deep ladder reconstruction-classification network for unsupervised domain adaptation. Pattern Recognit. Lett. 152 (2021)
Xiuyuan Cheng, Zichen Miao, Qiang Qiu
Graph Neural Networks with Low-rank Learnable Local Filters. CoRR (2020)
Ying-Jun Du, Jun Xu, Qiang Qiu, Xiantong Zhen, Lei Zhang
Variational Image Deraining. WACV (2020)
Kausic Gunasekar, Qiang Qiu, Yezhou Yang
Low to High Dimensional Modality Hallucination using Aggregated Fields of View. CoRR (2020)
Qiang Qiu, Qixin Cao
Motion planning in semistructured environments with teaching roadmaps. Intell. Serv. Robotics 13 (3) (2020)
Ze Wang, Xiuyuan Cheng, Guillermo Sapiro, Qiang Qiu
ACDC: Weight Sharing in Atom-Coefficient Decomposed Convolution. CoRR (2020)
Haoyu Dong, Ze Wang, Qiang Qiu, Guillermo Sapiro
Using Text to Teach Image Retrieval. CoRR (2020)
Ze Wang, Sihao Ding, Ying Li, Jonas Fenn, Sohini Roychowdhury, Andreas Wallin, Lane Martin, Scott Ryvola, Guillermo Sapiro, Qiang Qiu
Cirrus: A Long-range Bi-pattern LiDAR Dataset. CoRR (2020)
J. Matías Di Martino, Fernando Suzacq, Mauricio Delbracio, Qiang Qiu, Guillermo Sapiro
Differential 3D Facial Recognition: Adding 3D to Your State-of-the-Art 2D Method. CoRR (2020)
Ying-Jun Du, Jun Xu, Huan Xiong, Qiang Qiu, Xiantong Zhen, Cees G. M. Snoek, Ling Shao
Learning to Learn with Variational Information Bottleneck for Domain Generalization. CoRR (2020)
J. Matías Di Martino, Fernando Suzacq, Mauricio Delbracio, Qiang Qiu, Guillermo Sapiro
Differential 3D Facial Recognition: Adding 3D to Your State-of-the-Art 2D Method. IEEE Trans. Pattern Anal. Mach. Intell. 42 (7) (2020)
Ze Wang, Xiuyuan Cheng, Guillermo Sapiro, Qiang Qiu
Stochastic Conditional Generative Networks with Basis Decomposition. ICLR (2020)
Ze Wang, Xiuyuan Cheng, Guillermo Sapiro, Qiang Qiu
A Dictionary Approach to Domain-Invariant Learning in Deep Networks. NeurIPS (2020)
Jiayi Shen, Haochen Wang, Anran Zhang, Qiang Qiu, Xiantong Zhen, Xianbin Cao
Model-Agnostic Metric for Zero-Shot Learning. WACV (2020)
Xiantong Zhen, Ying-Jun Du, Huan Xiong, Qiang Qiu, Cees Snoek, Ling Shao
Learning to Learn Variational Semantic Memory. NeurIPS (2020)
Xiantong Zhen, Ying-Jun Du, Huan Xiong, Qiang Qiu, Cees G. M. Snoek, Ling Shao
Learning to Learn Variational Semantic Memory. CoRR (2020)
Kausic Gunasekar, Qiang Qiu, Yezhou Yang
Low to High Dimensional Modality Hallucination Using Aggregated Fields of View. IEEE Robotics Autom. Lett. 5 (2) (2020)
Ying-Jun Du, Jun Xu, Huan Xiong, Qiang Qiu, Xiantong Zhen, Cees G. M. Snoek, Ling Shao
Learning to Learn with Variational Information Bottleneck for Domain Generalization. ECCV (10) (2020)
Martín Bertrán, Natalia Martínez, Afroditi Papadaki, Qiang Qiu, Miguel R. D. Rodrigues, Galen Reeves, Guillermo Sapiro
Adversarially Learned Representations for Information Obfuscation and Inference. ICML (2019)
Ze Wang, Sihao Ding, Ying Li, Minming Zhao, Sohini Roychowdhury, Andreas Wallin, Guillermo Sapiro, Qiang Qiu
Range Adaptation for 3D Object Detection in LiDAR. ICCV Workshops (2019)
Cheng Xu, Zhaoqun Li, Qiang Qiu, Biao Leng, Jingfei Jiang
Enhancing 2D Representation via Adjacent Views for 3D Shape Retrieval. ICCV (2019)
Leyin Hu, Keren Dai, Chengqi Xing, Zhenhong Li, Roberto Tomás, Beth Clark, Xianlin Shi, Mi Chen, Rui Zhang, Qiang Qiu, Yajun Lu
Land subsidence in Beijing and its relationship with geological faults revealed by Sentinel-1 InSAR observations. Int. J. Appl. Earth Obs. Geoinformation 82 (2019)
Xiuyuan Cheng, Qiang Qiu, A. Robert Calderbank, Guillermo Sapiro
RotDCF: Decomposition of Convolutional Filters for Rotation-Equivariant Deep Networks. ICLR (Poster) (2019)
Hieu Nguyen, Hui Li, Qiang Qiu, Yuzeng Wang, Zhaoyang Wang
Single-shot 3D shape reconstruction using deep convolutional neural networks. CoRR (2019)
Wei Zhu, Qiang Qiu, A. Robert Calderbank, Guillermo Sapiro, Xiuyuan Cheng
Scale-Equivariant Neural Networks with Decomposed Convolutional Filters. CoRR (2019)
Zhuoqing Chang, J. Matías Di Martino, Qiang Qiu, Steven Espinosa, Guillermo Sapiro
SalGaze: Personalizing Gaze Estimation using Visual Saliency. ICCV Workshops (2019)
Ze Wang, Xiuyuan Cheng, Guillermo Sapiro, Qiang Qiu
Domain-invariant Learning using Adaptive Filter Decomposition. CoRR (2019)
Jiaji Huang, Qiang Qiu, Kenneth Church
Hubless Nearest Neighbor Search for Bilingual Lexicon Induction. ACL (1) (2019)
Ze Wang, Xiuyuan Cheng, Guillermo Sapiro, Qiang Qiu
Stochastic Conditional Generative Networks with Basis Decomposition. CoRR (2019)
Ze Wang, Sihao Ding, Ying Li, Minming Zhao, Sohini Roychowdhury, Andreas Wallin, Guillermo Sapiro, Qiang Qiu
Range Adaptation for 3D Object Detection in LiDAR. CoRR (2019)
Zhuoqing Chang, J. Matías Di Martino, Qiang Qiu, Steven Espinosa, Guillermo Sapiro
SalGaze: Personalizing Gaze Estimation Using Visual Saliency. CoRR (2019)
Wei Zhu, Qiang Qiu, Bao Wang, Jianfeng Lu, Guillermo Sapiro, Ingrid Daubechies
Stop Memorizing: A Data-Dependent Regularization Framework for Intrinsic Pattern Learning. SIAM J. Math. Data Sci. 1 (3) (2019)
Jiaqi Jin, Zhuojian Xiao, Qiang Qiu, Jinyun Fang
A Geohash Based Place2vec Model. IGARSS (2019)
J. Matías Di Martino, Qiang Qiu, Trishul Nagenalli, Guillermo Sapiro
Liveness Detection Using Implicit 3D Features. CoRR (2018)
Qiang Qiu, José Lezama, Alexander M. Bronstein, Guillermo Sapiro
ForestHash: Semantic Hashing with Shallow Random Forests and Tiny Convolutional Networks. ECCV (2) (2018)
Ze Wang, Zehao Xiao, Kai Xie, Qiang Qiu, Xiantong Zhen, Xianbin Cao
In Defense of Single-column Networks for Crowd Counting. CoRR (2018)
Albert Gong, Qiang Qiu, Guillermo Sapiro
Virtual CNN Branching: Efficient Feature Ensemble for Person Re-Identification. CoRR (2018)
Yanzhao Zhou, Yi Zhu, Qixiang Ye, Qiang Qiu, Jianbin Jiao
Weakly Supervised Instance Segmentation using Class Peak Response. CoRR (2018)
Ze Wang, Zehao Xiao, Kai Xie, Qiang Qiu, Xiantong Zhen, Xianbin Cao
In Defense of Single-column Networks for Crowd Counting. BMVC (2018)
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. González, Fabien Albino, Juliet Biggs
Global Monitoring of Fault Zones and Volcanoes with Sentinel-1. IGARSS (2018)
Qiang Qiu, Xiuyuan Cheng, A. Robert Calderbank, Guillermo Sapiro
DCFNet: Deep Neural Network with Decomposed Convolutional Filters. ICML (2018)
Yanzhao Zhou, Yi Zhu, Qixiang Ye, Qiang Qiu, Jianbin Jiao
Weakly Supervised Instance Segmentation Using Class Peak Response. CVPR (2018)
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
Automatic emotion and attention analysis of young children at home: a ResearchKit autism feasibility study. npj Digit. Medicine 1 (2018)
Qiang Qiu, Xiuyuan Cheng, A. Robert Calderbank, Guillermo Sapiro
DCFNet: Deep Neural Network with Decomposed Convolutional Filters. CoRR (2018)
Martín Bertrán, Natalia Martínez, Afroditi Papadaki, Qiang Qiu, Miguel R. D. Rodrigues, Guillermo Sapiro
Learning to Collaborate for User-Controlled Privacy. CoRR (2018)
José Lezama, Qiang Qiu, Pablo Musé, Guillermo Sapiro
OLÉ: Orthogonal Low-Rank Embedding - A Plug and Play Geometric Loss for Deep Learning. CVPR (2018)
Ze Wang, Weiqiang Ren, Qiang Qiu
LaneNet: Real-Time Lane Detection Networks for Autonomous Driving. CoRR (2018)
Xiuyuan Cheng, Qiang Qiu, A. Robert Calderbank, Guillermo Sapiro
RotDCF: Decomposition of Convolutional Filters for Rotation-Equivariant Deep Networks. CoRR (2018)
Qiang Qiu, Qixin Cao
Task constrained motion planning for 7-degree of freedom manipulators with parameterized submanifolds. Ind. Robot 45 (3) (2018)
Wei Zhu, Qiang Qiu, Jiaji Huang, A. Robert Calderbank, Guillermo Sapiro, Ingrid Daubechies
LDMNet: Low Dimensional Manifold Regularized Neural Networks. CVPR (2018)
Qiang Qiu, Zichen Song
A Nonuniform Weighted Loss Function for Imbalanced Image Classification. ICIGP (2018)
Hyun Keun Ahn, Qiang Qiu, Edward Bosch, Andrew Thompson, Francisco E. Robles, Guillermo Sapiro, Warren S. Warren, A. Robert Calderbank
Classifying Pump-Probe Images of Melanocytic Lesions Using the WEYL Transform. ICASSP (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Qiang Qiu