/ch-i-ahng ch-you/

QLab

We work at the intersection of Computer Vision and Machine Learning.

Members

• Qiang Qiu

• Ze Wang (PhD, ECE, graduated 05/23)

• Zichen Miao (PhD, ECE)

• Wei Chen (PhD, ECE)

• Seunghyun Hwang (PhD, ECE)

• Bianjiang Yang (PhD, ECE)

• Taewook Kim (PhD, ECE)

• Gaurav Patel (PhD, ECE)

• Jeeyung Kim (PhD, ECE)

• Vishal Purohit (PhD, ECE)

• Erfan Esmaeili Fakhabi (PhD, ECE)

Research Interests

Computer vision and machine learning, specifically on deep learning, image understanding, representation learning.

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]

Work Experience

• - Assistant Professor, Purdue University [2020]

• - 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]

Selected Publications in Computer Vision & Machine Learning

Ph.D. Dissertation

• Qiang Qiu, "Sparse Dictionary Learning and Domain Adaptation for Face and Action Recognition", Computer Science, University of Maryland - College Park, 2013 (Advisor: Professor Rama Chellappa).

Book Chapter

• Qiang Qiu, Jose Lezama, Guillermo Sapiro, "Orthogonal Low-rank Embedding", Book Chapter in High-Dimensional Data Science, preprint, 2023

• Qiang Qiu, Jie Ni, and Rama Chellappa, "Domain Adaptation Methods for the Re-identification of Faces", Book Chapter in Person Re-Identificaiton, Springer, 2013

Preprints

• Albert Gong, Qiang Qiu, Guillermo Sapiro, "Virtual CNN Branching: Efficient Feature Ensemble for Person Re-Identification", preprint, 2018 [arXiv:1803.05872] (High school research)

Conference

• Wei Chen*, Zichen Miao*, Qiang Qiu, “Inner Product-based Neural Network Similarity”, Advances in Neural Information Processing Systems (NeurIPS), 2023

• Ze Wang, Jiang Wang, Zicheng Liu, Qiang Qiu, “Binary Latent Diffusion”, Computer Vision and Pattern Recognition (CVPR), 2023

• Gaurav Patel, Konda Reddy Mopuri, Qiang Qiu, “Learning to Retain while Acquiring: Combating Distribution-Shift in Adversarial Data-Free Knowledge Distillation”, Computer Vision and Pattern Recognition (CVPR), 2023

• Shikun Liu, Tianchun Li, Yongbin Feng, Nhan Tran, Han Zhao, Qiang Qiu, Pan Li, "Structural Re-weighting Improves Graph Domain Adaptation", International Conference on Machine Learning (ICML), 2023

• Ze Wang, Jiang Wang, Zicheng Liu, Qiang Qiu, “Energy-Inspired Self-Supervised Pretraining for Vision Models”, International Conference on Learning Representations (ICLR), 2023 (Spotlight)

• Gaurav Patel, Jan Allebach, Qiang Qiu, "Seq-UPS: Sequential Uncertainty-aware Pseudo-label Selection for Semi-Supervised Text Recognition", IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023

• Ze Wang, Yue Lu, Qiang Qiu, "Meta-OLE: Meta-learned Orthogonal Low-Rank Embedding", IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023

• Zichen Miao, Ze Wang, Wei Chen, Qiang Qiu, "Continual Learning with Filter Atom Swapping", International Conference on Learning Representations (ICLR), 2022 (Spotlight)

• S. Azam, S. Hosseinalipour, Q. Qiu, C. Brinton. "Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank?", International Conference on Learning Representations (ICLR), 2022

• Ze Wang, Seunghyun Hwang, Zichen Miao, Qiang Qiu, "Image Generation using Continuous Filter Atoms", Advances in Neural Information Processing Systems (NeurIPS), 2021 (Spotlight)

• Zichen Miao, Ze Wang, Xiuyuan Cheng, Qiang Qiu, "Spatiotemporal Joint Filter Decomposition in 3D Convo-lutional Neural Networks", Advances in Neural Information Processing Systems (NeurIPS), 2021

• Ze Wang, Zichen Miao, Xiantong Zhen, Qiang Qiu, "Learning to Learn Dense Gaussian Processes for Few-Shot Learning", Advances in Neural Information Processing Systems (NeurIPS), 2021

• Jiaji Huang, Qiang Qiu, Kenneth Church, "Exploiting a Zoo of Checkpoints for Unseen Tasks", Advances in Neural Information Processing Systems (NeurIPS), 2021

• Jose Lezama, Wei Chen, Qiang Qiu, "Run-Sort-ReRun: Escaping Batch Size Limitations in Sliced Wasserstein Generative Models", International Conference on Machine Learning (ICML), 2021

• Ze Wang, Zichen Miao, Jun Hu, Qiang Qiu, "Adaptive Convolutions with Per-pixel Dynamic Filter Atom", International Conference on Computer Vision (ICCV), 2021

• 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”, International Conference on Robotics and Automation (ICRA), 2021 [arXiv:2012.02938] [Cirrus Dataset]

• X Cheng, Z Miao, Q Qiu, “Graph Convolution with Low-rank Learnable Local Filters”, International Conference on Learning Representations (ICLR), 2021 (spotlight) [arXiv:2008.01818]

• Ze Wang, Xiuyuan Cheng, Guillermo Sapiro, Qiang Qiu, “A Dictionary Approach to Domain-Invariant Learning in Deep Networks”, Neural Information Processing Systems (NeurIPS), 2020 [arXiv:1909.11285]

• X Zhen, Y Du, H Xiong, Q Qiu, , CGM Snoek, L Shao, “Learning to Learn Variational Semantic Memory”, Neural Information Processing Systems (NeurIPS), 2020

• Y Du, J Xu, H Xiong, Q Qiu, X Zhen, CGM Snoek, L Shao, “Learning to Learn with Variational Information Bottleneck for Domain Generalization”, European Conference on Computer Vision (ECCV), 2020

• Ze Wang, Xiuyuan Cheng, Guillermo Sapiro , Qiang Qiu, “Stochastic Conditional Generative Networks with Basis Decomposition”, International Conference on Learning Representations (ICLR), 2020 [arXiv:1909.11286]

• J Shen, H Wang, A Zhang, Q Qiu, X Zhen, X Cao, "Model-Agnostic Metric for Zero-Shot Learning", The IEEE Winter Conference on Applications of Computer Vision (WACV), 2020

• Y Du, J Xu, Q Qiu, X Zhen, L Zhang, "Variational image deraining", The IEEE Winter Conference on Applications of Computer Vision (WACV), 2020

• K Gunasekar, Q Qiu, Y Yang, "Low to High Dimensional Modality Reconstruction Using Aggregated Fields of View", International Conference on Robotics and Automation (ICRA), 2020

• Ze Wang, Sihao Ding, Ying Li, Minming Zhao, Sohini Roychowdhury, Andreas Wallin, Guillermo Sapiro, Qiang Qiu, “Range Adaptation for 3D Object Detection in LiDAR”, International Conference on Computer Vision (ICCV) Autonomous Driving Workshop, 2019 (Best Paper Award) [arXiv:1909.12249]

• Xiuyuan Cheng, Qiang Qiu, Robert Calderbank, Guillermo Sapiro, "RotDCF: Decomposition of Convolutional Filters for Rotation-Equivariant Deep Networks", International Conference on Learning Representations (ICLR), 2019 [arXiv:1805.06846]

• Jiaji Huang, Qiang Qiu, Kenneth Church, “Hubless Nearest Neighbor Search for Bilingual Lexicon Induction”, Conference of the Association for Computational Linguistics (ACL), 2019

• C Xu, Z Li, Q Qiu, B Leng, J Jiang, "Enhancing 2D Representation via Adjacent Views for 3D Shape Retrieval", Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2019

• Martin Bertran, Natalia Martinez, Afroditi Papadaki, Qiang Qiu, Miguel Rodrigues, Galen Reeves, Guillermo Sapiro, “Adversarially Learned Representations for Information Obfuscation and Inference”, International Conference on Machine Learning (ICML), 2019

• Qiang Qiu, Xiuyuan Cheng, Robert Calderbank, Guillermo Sapiro, "DCFNet: Deep Neural Network with Decomposed Convolutional Filters", International Conference on Machine Learning (ICML), 2018 [arXiv:1802.04145] [Code]

• Qiang Qiu, Jose Lezama, Alex Bronstein, Guillermo Sapiro, "ForestHash: Semantic Hashing With Shallow Random Forests and Tiny Convolutional Networks", European Conference on Computer Vision (ECCV), 2018 [arXiv:1711.08364]

• José Lezama, Qiang Qiu, Pablo Musé, Guillermo Sapiro, "OLÉ: Orthogonal Low-rank Embedding, A Plug and Play Geometric Loss for Deep Learning", Computer Vision and Patt. Recn. (CVPR), 2018 [arXiv:1712.01727] [Code]

• Wei Zhu, Qiang Qiu, Jiaji Huang, Robert Calderbank, Guillermo Sapiro, Ingrid Daubechies, "LDMNet: Low Dimensional Manifold Regularized Neural Networks", Computer Vision and Patt. Recn. (CVPR), 2018 (Spotlight Presentation) [arXiv:1711.06246]

• Yanzhao Zhou, Yi Zhu, Qixiang Ye, Qiang Qiu, Jianbin Jiao, "Weakly Supervised Instance Segmentation using Class Peak Response", Computer Vision and Patt. Recn. (CVPR), 2018 (Spotlight Presentation)

• Ze Wang, Zehao Xiao, Kai Xie, Qiang Qiu, Xiantong Zhen, Xianbin Cao, "In Defense of Single-column Networks for Crowd Counting", British Machine Vision Conference (BMVC), 2018

• Hyun Keun Ahn, Qiang Qiu, Edward Bosch, Andrew Thompson, Francisco E. Robles, Guillermo Sapiro, Warren S. Warren, Robert Calderbank, "Classifying Pump-probe Images of Melanocytic Lesions Using the Weyl Transform", ICASSP, 2018

• Jure Sokolic, Qiang Qiu, MRD Rodrigues, Guillermo Sapiro, "Learning to Succeed while Teaching to Fail: Privacy in Closed Machine Learning Systems", International Conference on Computer Vision (ICCV) Workshop, 2017 [arXiv:1705.08197]

• Jordan Hashemi, Qiang Qiu, Guillermo Sapiro, "Intelligent Synthesis Driven Model Calibration: Framework and Face Recognition Application", International Conference on Computer Vision (ICCV) Workshop, 2017

• Yi Zhu, Yanzhao Zhou, Qixiang Ye, Qiang Qiu, Jianbin Jiao, "Soft Proposal Networks for Weakly Supervised Object Localization", International Conference on Computer Vision (ICCV), 2017 [arXiv:1709.01829] [Code]

• Jose Lezama, Qiang Qiu, Guillermo Sapiro, "Not Afraid of the Dark: NIR-VIS Face Recognition via Cross-spectral Hallucination and Low-rank Embedding", Computer Vision and Patt. Recn. (CVPR), 2017 [arXiv:1509.05360]

• Yanzhao Zhou, Qixiang Ye, Qiang Qiu, Jianbin Jiao, "Oriented Response Networks", Computer Vision and Patt. Recn. (CVPR), 2017 [arXiv:1509.05360] [Code]

• Qixiang Ye, Tianliang Zhang, Qiang Qiu, Baochang Zhang, Jie Chen, Guillermo Sapiro, "Self-learning Scene-specific Pedestrian Detectors using a Progressive Latent Model", Computer Vision and Patt. Recn. (CVPR), 2017 [arXiv:1509.05360]

• Zhuoqing Chang, Qiang Qiu, Guillermo Sapiro, "Synthesis-based Low-cost Gaze Analysis", Human-Computer Interaction International Conference 2016 (HCI'16)

• Jie Chen, Zhuoqing Chang, Qiang Qiu, Xiaobai Li, Guillermo Sapiro, Alex Bronstein, Matti Pietikäinen, "RealSense = Real Heart Rate: Illumination Invariant Heart Rate Estimation from Videos", The sixth International Conference on Image Processing Theory, Tools and Applications (IPTA'16)

• Jiaji Huang, Qiang Qiu, Robert Calderbank, Guillermo Sapiro, "Discriminative Robust Transformation Learning", Neural Information Processing Systems (NIPS), 2015

• Jiaji Huang, Qiang Qiu, Robert Calderbank, Guillermo Sapiro, "Geometry-aware Deep Transform", International Conference on Computer Vision (ICCV), 2015 [arXiv:1509.05360]

• Jordan Hashemi, Qiang Qiu, Guillermo Sapiro, "Cross-modality pose-invariant facial expression", International Conference on Image Processing 2015

• Mark Draelos, Qiang Qiu, Alex Bronstein, and Guillermo Sapiro, "Intel RealSense = Real Low Cost Gaze", International Conference on Image Processing 2015

• Qiang Qiu, Guillermo Sapiro, Alex Bronstein, "Random Forests Can Hash", International Conference on Learning Representations Workshop 2015 [arXiv:1412.5083]

• Qiang Qiu, Andrew Thompson, Robert Calderbank, Guillermo Sapiro, "Representation using the Weyl Transform", International Conference on Learning Representations Workshop 2015 [arXiv:1412.6134]

• Jordan Hashemi, Kathleen Campbell, Kimberly L.H. Carpenter, Adrianne Harris, Qiang Qiu, Mariano Tepper, Steven Espinosa, Jana Schaich Borg, Samuel Marsan, Robert Calderbank, Jeffery P. Baker, Helen L. Egger, Geraldine Dawson, and Guillermo Sapiro, “A scalable app for measuring autism risk behaviors in young children: A technical validity and feasibility study”, MobiHealth 2015

• Qiang Qiu, Zhuoqing Chang, Mark Draelos, Jie Chen, Alex Bronstein, Guillermo Sapiro, “Low-cost Gaze and Pulse Analysis using RealSense”, MobiHealth 2015

• Jiaji Huang, Qiang Qiu, Robert Calderbank, Miguel Rodrigues, Guillermo Sapiro, "Alignment with Intra-class Structure Can Improve Classification", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015 (Oral)

• Yin Xian, Andrew Thompson, Qiang Qiu, Loren Nolte, Douglas Nowacek, Jianfeng Lu, Robert Calderbank, "Classification of Whale Vocalization Using the Weyl Transform", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015

• Qiang Qiu and Guillermo Sapiro, "Learning Transformations for Classification Forests", International Conference on Learning Representations (ICLR), Banff, Canada, April, 2014 (Oral)

• Qiang Qiu and Guillermo Sapiro, "Learning Transformations", International Conference on Image Processing, 2014 (Oral, top10% paper)

• Qiang Qiu and Guillermo Sapiro, "Learning Compressed Image Classification Features", International Conference on Image Processing, 2014

• Jie Ni, Qiang Qiu, and Rama Chellappa, "Subspace Interpolation via Dictionary Learning for Unsupervised Domain Adaptation", Computer Vision and Patt. Recn. (CVPR), 2013

• V. M. Patel, Q. Qiu, and R. Chellappa, "Dictionaries for image-based recognition", Information Theory and Applications Workshop (ITA), San Diego, CA, 2013.

• Qiang Qiu, Vishal Patel, Pavan Turaga, and Rama Chellappa, "Domain Adaptive Dictionary Learning", European Conference on Computer Vision (ECCV) 2012

• Qiang Qiu, Zhuolin Jiang, and Rama Chellappa, "Sparse Dictionary-based Representation and Recognition of Human Action Attributes", International Conference on Computer Vision (ICCV) 2011 [code] [slides]

Journal

• Sheeraz Athar, Gaurav Patel, Zhengtong Xu, Qiang Qiu, Yu She, “VisTac: Towards a Unified Multi-Modal Sensing Finger for Robotic Manipulation”, IEEE Sensors Journal, 2023

• Erica Skerrett, Zichen Miao, Mercy N. Asiedu, Megan Richards, Brian Crouch, Guillermo Sapiro, Qiang Qiu, and Nirmala Ramanujam, "Multi-contrast Pocket colposcopy cervical cancer diagnostic algorithm for referral populations", BME Frontiers, 2022

• W Zhu, Q Qiu, R Calderbank, G Sapiro, X Cheng, “Scale-Equivariant Neural Networks with Decomposed Convolutional Filters”, Journal of Machine Learning Research (JMLR), 23(68) 1-45, 2022

• JM Di Martino, Q Qiu, G Sapiro, "Rethinking Shape from Shading for Spoofing Detection", IEEE Transactions on Image Processing, 30, 1086-1099, 2021

• Jordan Hashemi, Geraldine Dawson, Kimberly LH Carpenter, Kathleen Campbell, Qiang Qiu, Steven Espinosa, Samuel Marsan, Jeffery P Baker, Helen L Egger, Guillermo Sapiro, "Computer Vision Analysis for Quantification of Autism Risk Behaviors", IEEE Transactions on Affective Computing, Volume: 12, Issue: 1, Page(s): 215-226, 2021 [link]

• JM Di Martino, F Suzacq, M Delbracio, Q Qiu, G Sapiro, "Differential 3D Facial Recognition: Adding 3D to Your State-of-the-Art 2D Method", IEEE Transaction on Pattern Analysis and Machine Intelligence, Volume: 42, Issue: 7, 01, 2020

• K Gunasekar, Q Qiu, Y Yang, "Low to High Dimensional Modality Hallucination Using Aggregated Fields of View", IEEE Robotics and Automation Letters, 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 Journal on Mathematics of Data Science, 2019 [link]

• Guillermo Sapiro, Helen Egger, Jordan Hashemi, Kimberly Carpenter, Steven Espinosa, Kathleen Campbell, Samuel Brotkin, Jana Shaich-Borg, Qiang Qiu, Mariano Tepper, Jeffrey Baker, Richard Bloomfield Jr, and Geraldine Dawson, "Automatic Emotion and Attention Analysis of Young Children at Home: A ResearchKit Autism Feasibility Study", Nature, Digital Medicine, 2018 [link]

• Kathleen Campbell, Kimberly LH Carpenter, Jordan Hashemi, Steven Espinosa, Samuel Marsan, Jana Schaich Borg, Zhuoqing Chang, Qiang Qiu, Saritha Vermeer, Elizabeth Adler, Mariano Tepper, Helen L Egger, Jeffery P Baker, Guillermo Sapiro, Geraldine Dawson, "Computer vision analysis captures atypical attention in toddlers with autism", Autism, 2018 [link]

• Kathleen Campbell, Kimberly L.H. Carpenter, Steven Espinosa, Jordan Hashemi, Qiang Qiu, Mariano Tepper, Robert Calderbank, Guillermo Sapiro, Helen L. Egger, Jeffrey P. Baker, Geraldine Dawson, "Use of a Digital Modified Checklist for Autism in Toddlers – Revised with Follow-up to Improve Quality of Screening for Autism", The Journal of Pediatrics, vol 183 (2017), pp. 133-139.e1 [link]

• Jiaji Huang, Qiang Qiu, Robert Calderbank, "The Role of Principal Angles in Subspace Classification", IEEE Transactions on Signal Processing, vol. 64, no. 8, pp. 1933-1945, April 15, 2016 [arXiv:1507.04230]

• Qiang Qiu, Andrew Thompson, Robert Calderbank, Guillermo Sapiro, "Data Representation using the Weyl Transform", IEEE Transactions on Signal Processing, vol. 64, no. 7, pp. 1844-1853, April 1, 2016. [arXiv:1412.6134] [mini labs on Weyl]

• Qiang Qiu, Guillermo Sapiro, "Learning Transformations for Clustering and Classification", Journal of Machine Learning Research (JMLR), 16(Feb):187−225, 2015. [JMLR] [Updated low-rank transform code] [jmlr subspace clustering code] [jmlr low-rank transform code]

• Qiang Qiu, Rama Chellappa, "Compositional Dictionaries for Domain Adaptive Face Recognition", Transactions on Image Processing, vol.24, no.12, pp.5152-5165, Dec. 2015 [arXiv:1308.0271] [matlab code]

• Qiang Qiu, Vishal Patel, and Rama Chellappa, "Information-theoretic Dictionary Learning for Image Classification", IEEE Transaction on Pattern Analysis and Machine Intelligence, vol.36, no.11, pp.2173-2184, Nov. 2014 [arXiv:1208.3687] [slides]

• Sima Taheri, Qiang Qiu, and Rama Chellappa, "Structure-Preserving Sparse Decomposition for Facial Expression Analysis", Transactions on Image Processing, 2014 Aug;23(8):3590-603

Technical Report

• Qiang Qiu, Rama Chellappa, "A Unified Approach for Modeling and Recognition of Individual Actions and Group Activities", MS Scholarly Paper, Department of Computer Science, University of Maryland, 2010 [arXiv:1208.4398]





Selected Publications in Sensor Surveillance

• Qiang Qiu, Foo Siang Fook, Aung Aung Phyo Wai, Viet Thang Pham, Maniyeri Jayachandran, Jit Biswas, Philip Lin Kiat Yap, "Multimodal information fusion for automated recognition of complex agitation behaviors of dementia patients", International Conference on Information Fusion, 2007

• Viet Thang Pham, Qiang Qiu, Aung Aung Phyo Wai and Jit Biswas, "Application of Ultrasonic Sensor in Smart Environment", Pervasive and Mobile Computing Journal, Elsevier, 2006

• Jit Biswas, Felix Naumann, and Qiang Qiu, "Assessing the Completeness of Sensor Data", Proceedings of the 11th International Conference on Database Systems for Advanced Applications (DASFAA), 2006

• V. Foo, Q. Qiu, J. Biswas, A. Wai, "Fusion Considerations in Monitoring and Handling Agitation Behaviour for Persons with Dementia", International Conference on Information Fusion, 2006

• Jit Biswas, Victor Foo Siang Fook, Qiang Qiu, Maniyeri Jayachandran, Aung Aung Phyo Wai, Viet Thang Pham, That Mon Htwe, "Data Collection and Feature Extraction for a Smart Ward Application". 11th IEEE International Conference on Emerging Technologies in Factory Automation (ETFA) 2006

• Jit Biswas, Maniyeri Jayachandran, Pham Viet Thang, Victor Foo, Tay Siew Choo, Qiu Qiang, Shiro Takahashi, Emily Hao, Chen Jian Feng and Philip Yap Lin Kiat, "Agitation Monitoring of Persons with Dementia based on Acoustic Sensors, Pressure Sensors and Ultrasound Sensors: A Feasibility Study”, International Conference on Ageing, Disabilities and Independence, Florida, 2006

• Biswas Jit , Daqing Zhang, Guopei Qiao , Foo Victor , Qiang Qiu and Yap Philip, "A System for Activity Monitoring and Patient Tracking in a Smart Hospital", International Conference on Smart Homes and Health Telematics (ICOST) 2006

• Qiang Qiu, Tieyan Li, Jit Biswas, "Improving Sensor Network Security with Information Quality", European Workshop on Security and Privacy in Ad hoc and Sensor Networks (ESAS), LNCS 3813, Springer-Verlag, 2005





Selected Publications in Computer Networks

• L. Zhou, T. Chai, C. Saradhi, Y. Wang, V. Foo, Q. Qiu, J. Biswas, C. Lu, T. Cheng, Y. Wang, "Development of a GMPLS-Capable WDM Optical Network Testbed and Distributed Storage Application", IEEE Communications Magazine, Volume 44, Issue 2, February 2006 Page(s):S26 - S32

• Chai Teck Yoong, Luying Zhou, V Foo Siang Fook, P Agrawal, CV Saradhi, Qiu Qiang, Jit Biswas, Yeo Heng Ngi, Wilson WANG Yonghong, "A GMPLS-controlled optical testbed for distributed storage services", IEEE Global Telecommunications Conference Workshops 2004

• Jit Biswas, Qiang Qiu, "A Very High-Speed Traffic Aggregator Over GMPLS", Optical Communications and Networks, 2003

• Q. Qiu, L. Jacob, R. R. Pillai, and B. Prabhakaran. "MAC Protocol Enhancements for QoS Guarantee and Fairness over the IEEE 802.11 Wireless LANs", Proceedings of the 11th IEEE International Conference on Computer Communications and Networks (ICCCN), 2002

• Qiu Qiang, Lillykutty Jacob, R. Radhakrishna Pillai, B. Prabhakaran, "MAC Protocol Enhancements and A Distributed Scheduler for QoS Guarantees over the IEEE 802.11 Wireless LANs", Proc. of IEEE Vehicular Technology Conference (VTC), 2002

• R. R. Pillai, B. Prabhakaran, and Q. Qiu. "A Forward Error Recovery Technique for Realtime MPEG-2 Video Transport and Its Performance over Wireless IEEE 802.11 LAN", Proceedings of the 9th IEEE International Conference on Computer Communications and Networks (ICCCN), 2000

• R. R. Pillai, B. Prabhakaran, and Q. Qiu. "A Forward Error Recovery Technique For MPEG-II Video Transport", ACM Multimedia, 1999.





Patents

• Guillermo Sapiro, Qiang Qiu, Alex Bronstein, "Systems and methods for large scale face identification and verification", US Patent 10146991, December 4, 2018

• Guillermo Sapiro, Helen Egger, Geraldine Dawson, Robert Calderbank, Jeffery Baker, Kimberly Carpenter, Adrienne Harris, Kathleen Campbell, Jordan Hashemi, Qiang Qiu, and Marianto Tepper, “Methods, Systems, and Computer Readable Media for Automated Behavioral Assessment.” US patent 11158403, 2021

• Qiang Qiu, Jit Biswas, "A shared storage network system and a method for operating a shared storage network system", US Patent 7,797,393, granted 14 Sep 2010

• Qiang Qiu, Jit Biswas, "A control device and a method for controlling an optical data transmission, and a shared storage network system", Singapore Patent No. 123950, granted 31 Jul 2008

• Qiang Qiu, Jit Biswas, "A shared storage network system and a method for operating a shared storage network system", Singapore Patent No. 123951, granted Jun 2008