Xiuwen Liu - RankMe

188 papers A* 3A 3B 44C 6Journal 66Unranked 65

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adversarial attacks on large language models using regularized relaxation. Inf. Sci. Samuel Jacob Chacko, Sajib Biswas, Chashi Mahiul Islam, Fatema Tabassum Liza, Xiuwen Liu
2025	B	`conf`	Adversarial Attack on Large Language Models using Exponentiated Gradient Descent. IJCNN Sajib Biswas, Mao Nishino, Samuel Jacob Chacko, Xiuwen Liu
2025	J	`jnl`	Adversarial Attack on Large Language Models using Exponentiated Gradient Descent. CoRR Sajib Biswas, Mao Nishino, Samuel Jacob Chacko, Xiuwen Liu
2025	J	`jnl`	Are Vision Transformer Representations Semantically Meaningful? A Case Study in Medical Imaging. CoRR Montasir Shams, Chashi Mahiul Islam, Shaeke Salman, Phat Tran, Xiuwen Liu
2025	J	`jnl`	CS-Guide: Leveraging LLMs and Student Reflections to Provide Frequent, Scalable Academic Monitoring Feedback to Computer Science Students. CoRR Samuel Jacob Chacko, An-I Andy Wang, Lara Perez-Felkner, Sonia Haiduc, David B. Whalley, Xiuwen Liu
2025	—	`conf`	Data-Driven Fairness Generalization for Deepfake Detection. ICAART (3) Uzoamaka Ezeakunne, Chrisantus Eze, Xiuwen Liu
2025	J	`jnl`	DeepSeek on a Trip: Inducing Targeted Visual Hallucinations via Representation Vulnerabilities. CoRR Chashi Mahiul Islam, Samuel Jacob Chacko, Preston Horne, Xiuwen Liu
2025	B	`conf`	Intriguing Differences Between Zero-Shot and Systematic Evaluations of Vision-Language Transformer Models. IJCNN Shaeke Salman, Montasir Shams, Xiuwen Liu, Lingjiong Zhu
2025	J	`jnl`	Mechanistic Understandings of Representation Vulnerabilities and Engineering Robust Vision Transformers. CoRR Chashi Mahiul Islam, Samuel Jacob Chacko, Mao Nishino, Xiuwen Liu
2025	J	`jnl`	Minimum Description Length of a Spectrum Variational Autoencoder: A Theory. CoRR Canlin Zhang, Xiuwen Liu
2025	—	`conf`	NeuroShield-ViT: Mechanistic Understandings of Representation Vulnerabilities and Engineering Robust Vision Transformers. ISVC (1) Chashi Mahiul Islam, Samuel Jacob Chacko, Mao Nishino, Xiuwen Liu
2025	J	`jnl`	Nonlinear Correct and Smooth for Graph-Based Semi-Supervised Learning. ACM Trans. Knowl. Discov. Data Yuanhang Shao, Xiuwen Liu
2025	—	`conf`	Spatial-ViLT: Enhancing Visual Spatial Reasoning Through Multi-task Learning. ISVC (2) Chashi Mahiul Islam, Oteo Mamo, Samuel Jacob Chacko, Xiuwen Liu, Weikuan Yu
2025	J	`jnl`	Spatial-ViLT: Enhancing Visual Spatial Reasoning through Multi-Task Learning. CoRR Chashi Mahiul Islam, Oteo Mamo, Samuel Jacob Chacko, Xiuwen Liu, Weikuan Yu
2025	B	`conf`	Unaligning Everything: Or Aligning Any Text to Any Image in Multimodal Models. IJCNN Shaeke Salman, Montasir Shams, Mao Nishino, Xiuwen Liu
2025	J	`jnl`	Universal and Transferable Adversarial Attack on Large Language Models Using Exponentiated Gradient Descent. CoRR Sajib Biswas, Mao Nishino, Samuel Jacob Chacko, Xiuwen Liu
2025	—	`conf`	Vision Embeddings and Their Role in Hallucination Vulnerabilities of Multimodal Large Language Models. ISVC (2) Chashi Mahiul Islam, Samuel Jacob Chacko, Preston Horne, Xiuwen Liu
2024	J	`jnl`	Adversarial Attacks on Large Language Models Using Regularized Relaxation. CoRR Samuel Jacob Chacko, Sajib Biswas, Chashi Mahiul Islam, Fatema Tabassum Liza, Xiuwen Liu
2024	J	`jnl`	Data-Driven Fairness Generalization for Deepfake Detection. CoRR Uzoamaka Ezeakunne, Chrisantus Eze, Xiuwen Liu
2024	B	`conf`	FaCTQA:Detecting and Localizing Factual Errors in Generated Summaries Through Question and Answering from Heterogeneous Models. IJCNN Trina Dutta, Xiuwen Liu
2024	B	`conf`	Inductive Link Prediction in Knowledge Graphs using Path-based Neural Networks. IJCNN Canlin Zhang, Xiuwen Liu
2024	J	`jnl`	Intriguing Differences Between Zero-Shot and Systematic Evaluations of Vision-Language Transformer Models. CoRR Shaeke Salman, Md Montasir Bin Shams, Xiuwen Liu, Lingjiong Zhu
2024	J	`jnl`	Intriguing Equivalence Structures of the Embedding Space of Vision Transformers. CoRR Shaeke Salman, Md Montasir Bin Shams, Xiuwen Liu
2024	J	`jnl`	Learning Regularities from Data using Spiking Functions: A Theory. CoRR Canlin Zhang, Xiuwen Liu
2024	A	`conf`	Malicious Path Manipulations via Exploitation of Representation Vulnerabilities of Vision-Language Navigation Systems. IROS Chashi Mahiul Islam, Shaeke Salman, Montasir Shams, Xiuwen Liu, Piyush Kumar
2024	J	`jnl`	Malicious Path Manipulations via Exploitation of Representation Vulnerabilities of Vision-Language Navigation Systems. CoRR Chashi Mahiul Islam, Shaeke Salman, Montasir Shams, Xiuwen Liu, Piyush Kumar
2024	B	`conf`	Nonlinear Correct and Smooth for Semi-Supervised Learning. IJCNN Yuanhang Shao, Xiuwen Liu
2024	J	`jnl`	Unaligning Everything: Or Aligning Any Text to Any Image in Multimodal Models. CoRR Shaeke Salman, Md Montasir Bin Shams, Xiuwen Liu
2023	J	`jnl`	Automatic Historical Stock Price Dataset Generation Using Python. CoRR Arunima Mandal, Yuanhang Shao, Xiuwen Liu
2023	C	`conf`	Facial Deepfake Detection Using Gaussian Processes. PSIVT Uzoamaka Ezeakunne, Xiuwen Liu
2023	J	`jnl`	Improved Stock Price Movement Classification Using News Articles Based on Embeddings and Label Smoothing. CoRR Luis Villamil, Ryan Bausback, Shaeke Salman, Ting L. Liu, Conrad Horn, Xiuwen Liu
2023	J	`jnl`	Inductive Link Prediction in Knowledge Graphs using Path-based Neural Networks. CoRR Canlin Zhang, Xiuwen Liu
2023	J	`jnl`	Nonlinear Correct and Smooth for Semi-Supervised Learning. CoRR Yuanhang Shao, Xiuwen Liu
2023	J	`jnl`	Social distance "nudge:" a context aware mHealth intervention in response to COVID pandemics. Comput. Math. Organ. Theory Shuyuan Mary Ho, Xiuwen Liu, Md Shamim Seraj, Sabrina Dickey
2023	J	`jnl`	Understanding the Spectral Bias of Coordinate Based MLPs Via Training Dynamics. CoRR John Lazzari, Xiuwen Liu
2022	B	`conf`	Dense Embeddings Preserving the Semantic Relationships in WordNet. IJCNN Canlin Zhang, Xiuwen Liu
2022	B	`conf`	Geometric Analysis and Metric Learning of Instruction Embeddings. IJCNN Sajib Biswas, Timothy Barao, John Lazzari, Jeret McCoy, Xiuwen Liu, Alexander Kostandarithes
2021	J	`jnl`	High-resolution home location prediction from Twitter activities using consensus deep learning. Soc. Netw. Anal. Min. Meysam Ghaffari, Ashok Srinivasan, Xiuwen Liu, Shayok Chakraborty
2021	B	`conf`	How Can the [MASK] Know? The Sources and Limitations of Knowledge in BERT. IJCNN Maksim Podkorytov, Daniel Bis, Xiuwen Liu
2021	B	`conf`	Optimism/Pessimism Prediction of Twitter Messages and Users Using BERT with Soft Label Assignment. IJCNN Ali Alshahrani, Meysam Ghaffari, Kobra Amirizirtol, Xiuwen Liu
2021	J	`jnl`	The domestic computer science graduate students are there, we just need to recruit them. Commun. ACM David B. Whalley, Xin Yuan, Xiuwen Liu
2021	—	`conf`	Too Much in Common: Shifting of Embeddings in Transformer Language Models and its Implications. NAACL-HLT Daniel Bis, Maksim Podkorytov, Xiuwen Liu
2020	J	`jnl`	An Analysis on the Learning Rules of the Skip-Gram Model. CoRR Canlin Zhang, Xiuwen Liu, Daniel Bis
2020	B	`conf`	DeepConsensus: Consensus-based Interpretable Deep Neural Networks with Application to Mortality Prediction. IJCNN Shaeke Salman, Seyedeh Neelufar Payrovnaziri, Xiuwen Liu, Pablo Rengifo-Moreno, Zhe He
2020	B	`conf`	Effects of Architecture and Training on Embedding Geometry and Feature Discriminability in BERT. IJCNN Maksim Podkorytov, Daniel Bis, Jinglun Cai, Kobra Amirizirtol, Xiuwen Liu
2020	J	`jnl`	Explainable artificial intelligence models using real-world electronic health record data: a systematic scoping review. J. Am. Medical Informatics Assoc. Seyedeh Neelufar Payrovnaziri, Zhaoyi Chen, Pablo Rengifo-Moreno, Tim Miller, Jiang Bian, Jonathan H. Chen, Xiuwen Liu, Zhe He
2020	B	`conf`	Explaining AI for Malware Detection: Analysis of Mechanisms of MalConv. IJCNN Shamik Bose, Timothy Barao, Xiuwen Liu
2020	B	`conf`	Identifying Optimism and Pessimism in Twitter Messages Using XLNet and Deep Consensus. IJCNN Ali Alshahrani, Meysam Ghaffari, Kobra Amirizirtol, Xiuwen Liu
2020	J	`jnl`	Preserving the Hypernym Tree of WordNet in Dense Embeddings. CoRR Canlin Zhang, Xiuwen Liu
2020	B	`conf`	Towards Quantifying Intrinsic Generalization of Deep ReLU Networks. IJCNN Shaeke Salman, Canlin Zhang, Xiuwen Liu, Washington Mio
2019	B	`conf`	An Analysis on the Learning Rules of the Skip-Gram Model. IJCNN Canlin Zhang, Xiuwen Liu, Daniel Bis
2019	J	`jnl`	Biomedical word sense disambiguation with bidirectional long short-term memory and attention-based neural networks. BMC Bioinform. Canlin Zhang, Daniel Bis, Xiuwen Liu, Zhe He
2019	B	`conf`	High-resolution home location prediction from tweets using deep learning with dynamic structure. ASONAM Meysam Ghaffari, Ashok Srinivasan, Xiuwen Liu
2019	J	`jnl`	High-resolution home location prediction from tweets using deep learning with dynamic structure. CoRR Meysam Ghaffari, Ashok Srinivasan, Xiuwen Liu
2019	J	`jnl`	Interpretable Deep Neural Networks for Patient Mortality Prediction: A Consensus-based Approach. CoRR Shaeke Salman, Seyedeh Neelufar Payrovnaziri, Xiuwen Liu, Zhe He
2019	J	`jnl`	Next-Generation High-Resolution Vector-Borne Disease Risk Assessment. CoRR Meysam Ghaffari, Ashok Srinivasan, Anuj Mubayi, Xiuwen Liu, Krishnan Viswanathan
2019	B	`conf`	Next-generation high-resolution vector-borne disease risk assessment. ASONAM Meysam Ghaffari, Ashok Srinivasan, Anuj Mubayi, Xiuwen Liu, Krishnan Viswanathan
2019	J	`jnl`	Overfitting Mechanism and Avoidance in Deep Neural Networks. CoRR Shaeke Salman, Xiuwen Liu
2019	B	`conf`	Sparsity as the Implicit Gating Mechanism for Residual Blocks. IJCNN Shaeke Salman, Xiuwen Liu
2019	J	`jnl`	Towards Quantifying Intrinsic Generalization of Deep ReLU Networks. CoRR Shaeke Salman, Canlin Zhang, Xiuwen Liu, Washington Mio
2018	J	`jnl`	Correction to: Evaluating semantic relations in neural word embeddings with biomedical and general domain knowledge bases. BMC Medical Informatics Decis. Mak. Zhiwei Chen, Zhe He, Xiuwen Liu, Jiang Bian
2018	J	`jnl`	Evaluating semantic relations in neural word embeddings with biomedical and general domain knowledge bases. BMC Medical Informatics Decis. Mak. Zhiwei Chen, Zhe He, Xiuwen Liu, Jiang Bian
2018	J	`jnl`	Land cover classification from multi-temporal, multi-spectral remotely sensed imagery using patch-based recurrent neural networks. Neural Networks Atharva Sharma, Xiuwen Liu, Xiaojun Yang
2018	—	`conf`	Layered Multistep Bidirectional Long Short-Term Memory Networks for Biomedical Word Sense Disambiguation. BIBM Daniel Bis, Canlin Zhang, Xiuwen Liu, Zhe He
2017	J	`jnl`	A patch-based convolutional neural network for remote sensing image classification. Neural Networks Atharva Sharma, Xiuwen Liu, Xiaojun Yang, Di Shi
2017	—	`conf`	An exploration of semantic relations in neural word embeddings using extrinsic knowledge. BIBM Zhiwei Chen, Zhe He, Xiuwen Liu, Jiang Bian
2017	J	`jnl`	Land Cover Classification from Multi-temporal, Multi-spectral Remotely Sensed Imagery using Patch-Based Recurrent Neural Networks. CoRR Atharva Sharma, Xiuwen Liu, Xiaojun Yang
2016	J	`jnl`	Computer-Mediated Deception: Strategies Revealed by Language-Action Cues in Spontaneous Communication. J. Manag. Inf. Syst. Shuyuan Mary Ho, Jeffrey T. Hancock, Cheryl Booth, Xiuwen Liu
2016	—	`conf`	Demystifying Insider Threat: Language-Action Cues in Group Dynamics. HICSS Shuyuan Mary Ho, Jeffrey T. Hancock, Cheryl Booth, Mike Burmester, Xiuwen Liu, Shashanka Surya Timmarajus
2016	C	`conf`	Fast Nearest Neighbor Search with Transformed Residual Quantization. ICMLA Jiangbo Yuan, Xiuwen Liu
2016	—	`conf`	Real or Spiel? A Decision Tree Approach for Automated Detection of Deceptive Language-Action Cues. HICSS Shuyuan Mary Ho, Jeffrey T. Hancock, Cheryl Booth, Xiuwen Liu, Muye Liu, Shashanka Surya Timmarajus, Mike Burmester
2016	B	`conf`	TBAS: Enhancing Wi-Fi Authentication by Actively Eliciting Channel State Information. SECON Muye Liu, Avishek Mukherjee, Zhenghao Zhang, Xiuwen Liu
2015	—	`conf`	A path based approach to quantifying the progression of Alzheimer's disease. BIBM Prabesh Kanel, Xiuwen Liu
2015	—	`conf`	A scalable spatiotemporal inference framework based on statistical shape analysis for natural ecosystem monitoring by remote sensing. MultiTemp Xiuwen Liu, Atharva Sharma, Xiaojun Yang, Nigel Nye
2015	C	`conf`	Liar, Liar, IM on Fire: Deceptive language-action cues in spontaneous online communication. ISI Shuyuan Mary Ho, Jeffrey T. Hancock, Cheryl Booth, Xiuwen Liu, Shashanka Surya Timmarajus, Mike Burmester
2015	B	`conf`	Nano-scale context-sensitive semantic segmentation. ICIP Nan Zhao, Chaity Banerjee, Xiuwen Liu
2015	—	`conf`	Preventing Cyber-induced Irreversible Physical Damage to Cyber-Physical Systems. CISR Jaewon Yang, Xiuwen Liu, Shamik Bose
2015	B	`conf`	Product tree quantization for approximate nearest neighbor search. ICIP Jiangbo Yuan, Xiuwen Liu
2015	J	`jnl`	Transformed Residual Quantization for Approximate Nearest Neighbor Search. CoRR Jiangbo Yuan, Xiuwen Liu
2014	—	`conf`	Dyadic Attribution: A Theoretical Model for Interpreting Online Words and Actions. SBP Shuyuan Mary Ho, Shashanka Surya Timmarajus, Mike Burmester, Xiuwen Liu
2013	—	`conf`	Towards a secure electricity grid. ISSNIP Mike Burmester, Joshua Lawrence, David Guidry, Sean Easton, Sereyvathana Ty, Xiuwen Liu, Xin Yuan, Jonathan Jenkins
2013	—	`conf`	Transform Residual K-Means Trees for Scalable Clustering. ICDM Workshops Jiangbo Yuan, Xiuwen Liu
2013	—	`conf`	Trusted Group Key Management for Real-Time Critical Infrastructure Protection. MILCOM Jonathan Jenkins, Sean Easton, David Guidry, Mike Burmester, Xiuwen Liu, Xin Yuan, Joshua Lawrence, Sereyvathana Ty
2012	C	`conf`	A Trusted Computing Architecture for Secure Substation Automation. CRITIS David Guidry, Mike Burmester, Xiuwen Liu, Jonathan Jenkins, Sean Easton, Xin Yuan
2012	—	`conf`	A cyber-physical approach to a wide-area actionable system for the power grid. MILCOM Josef D. Allen, Xiuwen Liu, Ivan Lozano, Xin Yuan
2012	B	`conf`	A novel index structure for large scale image descriptor search. ICIP Jiangbo Yuan, Xiuwen Liu
2012	—	`conf`	Efficient Mining of Repetitions in Large-Scale TV Streams with Product Quantization Hashing. ECCV Workshops (1) Jiangbo Yuan, Guillaume Gravier, Sébastien Campion, Xiuwen Liu, Hervé Jégou
2012	—	`conf`	One-base-pair localization of nucleosomes. BIBM Workshops Xiuwen Liu, Yu Zhang, Teng L. Liu, Jonathan H. Dennis
2012	—	`conf`	Quantitative models for statistical nucleosome occupancy prediction. BIBM Workshops Yu Zhang, Xiuwen Liu, Jonathan H. Dennis
2011	B	`conf`	A hybrid PCA-LDA model for dimension reduction. IJCNN Nan Zhao, Washington Mio, Xiuwen Liu
2011	—	`conf`	An accurate and reliable method for automatic picking of HIV/SIV spikes. BIBM Workshops Chaity B. Mukherjee, Hanspeter Winkler, Xiuwen Liu, Moumita Dutta, Kenneth H. Roux, Kenneth A. Taylor
2011	—	`conf`	Early detection of Alzheimer's based on intrinsic measurements. BIBM Workshops Prabesh Kanel, Xiuwen Liu, Washington Mio
2011	J	`jnl`	Efficient Path-Based Stereo Matching With Subpixel Accuracy. IEEE Trans. Syst. Man Cybern. Part B Arturo Donate, Xiuwen Liu, Emmanuel G. Collins Jr.
2011	J	`jnl`	FISH Finder: a high-throughput tool for analyzing FISH images. Bioinform. James W. Shirley, Sereyvathana Ty, Shin-ichiro Takebayashi, Xiuwen Liu, David M. Gilbert
2011	—	`conf`	Generative/discriminative models for nucleosome positioning. BIBM Workshops Yu Zhang, Xiuwen Liu
2011	J	`jnl`	Laser-based rut detection and following system for autonomous ground vehicles. J. Field Robotics Camilo Ordonez, Oscar Y. Chuy, Emmanuel G. Collins Jr., Xiuwen Liu
2011	—	`conf`	Preventing cascading event: a distributed cyber-physical approach. CSIIRW Josef D. Allen, Sereyvathana Ty, Xiuwen Liu, Ivan Lozano
2011	—	`conf`	Spectral signatures of point clouds and applications to detection of Alzheimer's Disease through Neuroimaging. ISBI Jonathan Bates, Dominic Pafundi, Prabesh Kanel, Xiuwen Liu, Washington Mio
2010	—	`conf`	3D structure estimation from monocular video clips. CVPR Workshops Arturo Donate, Xiuwen Liu
2010	J	`jnl`	A Computational Model of Multidimensional Shape. Int. J. Comput. Vis. Xiuwen Liu, Yonggang Shi, Ivo D. Dinov, Washington Mio
2010	—	`conf`	A Model of Volumetric Shape for the Analysis of Longitudinal Alzheimer's Disease Data. ECCV (3) Xinyang Liu, Xiuwen Liu, Yonggang Shi, Paul M. Thompson, Washington Mio
2010	—	`conf`	A Riemannian model of regional degeneration of the hippocampus in Alzheimer's disease. ISBI Xiuwen Liu, Yonggang Shi, Ying Wang, Paul M. Thompson, Washington Mio
2010	—	`conf`	DNA sequence feature selection for intrinsic nucleosome positioning signals using AdaBoost. BCB Yu Zhang, Xiuwen Liu, Justin A. Fincher, Jonathan H. Dennis
2010	—	`conf`	On generalization of performance of classifiers for steganalysis. CSIIRW Josef D. Allen, Xiuwen Liu, Liam M. Mayron, Washington Mio
2010	B	`conf`	Scale-Space Spectral Representation of Shape. ICPR Jonathan Bates, Xiuwen Liu, Washington Mio
2010	—	`conf`	Shot boundary detection in videos using robust three-dimensional tracking. CVPR Workshops Arturo Donate, Xiuwen Liu
2010	—	`ch.`	Three Dimensional Information Extraction and Applications to Video Analysis. Video Search and Mining Arturo Donate, Xiuwen Liu
2009	B	`conf`	Image retrieval based on intrinsic spectral histogram representation. IJCNN Yuhua Zhu, Xiuwen Liu, Washington Mio
2009	C	`conf`	Linear Representation Learning Using Sphere Factor Analysis. ICMLA Yiming Wu, Xiuwen Liu, Washington Mio
2009	—	`conf`	Mapping Hippocampal Atrophy with a Multi-Scale Model of Shape. ISBI Xinyang Liu, Yonggang Shi, Jonathan H. Morra, Xiuwen Liu, Paul M. Thompson, Washington Mio
2009	B	`conf`	Optimal dimension reduction for image retrieval with correlation metrics. IJCNN Yuhua Zhu, Washington Mio, Xiuwen Liu
2009	—	`conf`	Registration of Contours of Brain Structures Through a Heat-Kernel Representation of Shape. ISBI Jonathan Bates, Ying Wang, Xiuwen Liu, Washington Mio
2009	B	`conf`	Rut Tracking and Steering Control for Autonomous Rut Following. SMC Camilo Ordonez, Oscar Y. Chuy, Emmanuel G. Collins Jr., Xiuwen Liu
2009	—	`conf`	Rut detection and following for autonomous ground vehicles. Robotics: Science and Systems Camilo Ordonez, Oscar Chuy, Emmanuel G. Collins Jr., Xiuwen Liu
2009	J	`jnl`	Shape of Elastic Strings in Euclidean Space. Int. J. Comput. Vis. Washington Mio, John Christopher Bowers, Xiuwen Liu
2009	—	`conf`	Spherical Representations of Shape Using Parametrizations with Minimal Distortion. ISBI Yue Qiu, Ying Wang, Xiuwen Liu, Washington Mio
2008	—	`conf`	A Stochastic Clustering Auction (SCA) for Centralized and Distributed Task Allocation in Multi-agent Teams. DARS Kai Zhang, Emmanuel G. Collins Jr., Dongqing Shi, Xiuwen Liu, Oscar Chuy Jr.
2008	B	`conf`	Efficient and accurate subpixel path based stereo matching. ICPR Arturo Donate, Ying Wang, Xiuwen Liu, Emmanuel G. Collins Jr.
2008	—	`conf`	Human-aware robot motion planning with velocity constraints. CTS Dongqing Shi, Emmanuel G. Collins Jr., Arturo Donate, Xiuwen Liu, Brian F. Goldiez, Damion D. Dunlap
2008	B	`conf`	Kernel functions for robust 3D surface registration with spectral embeddings. ICPR Xiuwen Liu, Arturo Donate, Matthew Jemison, Washington Mio
2008	J	`jnl`	Learning representations for object classification using multi-stage optimal component analysis. Neural Networks Yiming Wu, Xiuwen Liu, Washington Mio
2008	—	`conf`	Models of Normal Variation and Local Contrasts in Hippocampal Anatomy. MICCAI (2) Xinyang Liu, Washington Mio, Yonggang Shi, Ivo D. Dinov, Xiuwen Liu, Natasha Leporé, Franco Lepore, Madeleine Fortin, Patrice Voss, Maryse Lassonde, Paul M. Thompson
2008	B	`conf`	Transductive optimal component analysis. ICPR Yuhua Zhu, Yiming Wu, Xiuwen Liu, Washington Mio
2008	J	`jnl`	Two-stage optimal component analysis. Comput. Vis. Image Underst. Yiming Wu, Xiuwen Liu, Washington Mio, Kyle A. Gallivan
2007	—	`conf`	A learning approach to content-based image categorization and retrieval. VISAPP (2) Washington Mio, Yuhua Zhu, Xiuwen Liu
2007	A	`conf`	Content-Based Image Categorization and Retrieval using Neural Networks. ICME Yuhua Zhu, Xiuwen Liu, Washington Mio
2007	A*	`conf`	Modeling Brain Anatomy with 3D Arrangements of Curves. ICCV Washington Mio, John Christopher Bowers, Monica K. Hurdal, Xiuwen Liu
2007	B	`conf`	Multi-Stage Optimal Component Analysis. IJCNN Yiming Wu, Xiuwen Liu, Washington Mio
2007	—	`conf`	Optimal Factor Analysis and Applications to Content-Based Image Retrieval. VISIGRAPP (Selected Papers) Yuhua Zhu, Washington Mio, Xiuwen Liu
2007	—	`conf`	Parametrization, alignment and shape of spherical surfaces. VISAPP (1) Xiuwen Liu, John Bowers, Washington Mio
2007	C	`conf`	Scalable optimal linear representation for face and object recognition. ICMLA Yiming Wu, Xiuwen Liu, Washington Mio
2006	J	`jnl`	Contour Inferences for Image Understanding. Int. J. Comput. Vis. Washington Mio, Anuj Srivastava, Xiuwen Liu
2006	J	`jnl`	Face recognition using optimal linear components of range images. Image Vis. Comput. Anuj Srivastava, Xiuwen Liu, Curt Hesher
2006	B	`conf`	Landmark Representation of Shapes and Fisher-Rao Geometry. ICIP Washington Mio, Xiuwen Liu
2006	B	`conf`	Recognition using Rapid Classification Tree. ICIP Keith Haynes, Xiuwen Liu, Washington Mio
2006	B	`conf`	Rotation Invariant Face Detection using Spectral Histograms and Support Vector Machines. ICIP Christopher A. Waring, Xiuwen Liu
2006	B	`conf`	Splitting Factor Analysis and Multi-Class Boosting. ICIP Xiuwen Liu, Washington Mio
2006	B	`conf`	Two-Stage Optimal Component Analysis. ICIP Yiming Wu, Xiuwen Liu, Washington Mio, Kyle A. Gallivan
2005	—	`conf`	A Computational Approach to Fisher Information Geometry with Applications to Image Analysis. EMMCVPR Washington Mio, Dennis Badlyans, Xiuwen Liu
2005	J	`jnl`	Face detection using spectral histograms and SVMs. IEEE Trans. Syst. Man Cybern. Part B Christopher A. Waring, Xiuwen Liu
2005	—	`conf`	Kernel Methods for Nonlinear Discriminative Data Analysis. EMMCVPR Xiuwen Liu, Washington Mio
2005	—	`conf`	Non-parametric information geometry and multi-scale models of texture. EUSIPCO Washington Mio, Dennis Badlyans, Xiuwen Liu
2005	J	`jnl`	Statistical Shape Analysis: Clustering, Learning, and Testing. IEEE Trans. Pattern Anal. Mach. Intell. Anuj Srivastava, Shantanu H. Joshi, Washington Mio, Xiuwen Liu
2005	J	`jnl`	Tools for application-driven linear dimension reduction. Neurocomputing Anuj Srivastava, Xiuwen Liu
2004	—	`conf`	A Computational Framework for Real-time Detection and Recognition of Large Number of Classes. AIPR Xiuwen Liu
2004	—	`conf`	Hierarchical Organization of Shapes for Efficient Retrieval. ECCV (3) Shantanu H. Joshi, Anuj Srivastava, Washington Mio, Xiuwen Liu
2004	—	`conf`	Kernel Optimal Component Analysis. CVPR Workshops Qiang Zhang, Xiuwen Liu
2004	—	`conf`	Learning and Bayesian Shape Extraction for Object Recognition. ECCV (4) Washington Mio, Anuj Srivastava, Xiuwen Liu
2004	J	`jnl`	Optimal Linear Representations of Images for Object Recognition. IEEE Trans. Pattern Anal. Mach. Intell. Xiuwen Liu, Anuj Srivastava, Kyle A. Gallivan
2004	—	`conf`	Real Time Texture Classification using Field Programmable Gate Arrays. AIPR Geoffrey Wall, Faizal Iqbal, Jason C. Isaacs, Xiuwen Liu, Simon Y. Foo
2003	—	`conf`	An Integrated Learning Framework for Recognition Based on Images. CVPR Workshops Xiuwen Liu, Anuj Srivastava
2003	—	`conf`	Geometric Analysis of Constrained Curves. NIPS Anuj Srivastava, Xiuwen Liu, Washington Mio, Eric Klassen
2003	B	`conf`	Hierarchical learning of optimal linear representations. IJCNN Qiang Zhang, Xiuwen Liu
2003	B	`conf`	Integrated learning of linear representations. IJCNN Xiuwen Liu, Aruj Srivastava
2003	J	`jnl`	Intrinsic generalization analysis of low dimensional representations. Neural Networks Xiuwen Liu, Anuj Srivastava, DeLiang L. Wang
2003	—	`conf`	Learning Optimal Representations for Image Retrieval Applications. CIVR Xiuwen Liu, Anuj Srivastava, Donghu Sun
2003	B	`conf`	On intrinsic generalization of low dimensional representations of images for recognition. IJCNN Xiuwen Liu, Anuj Srivastava, DeLiang Wang
2003	—	`conf`	Optimal Linear Representations of Images for Object Recognition. CVPR (1) Xiuwen Liu, Anuj Srivastava, Kyle A. Gallivan
2003	B	`conf`	Sparse linear representations for recognition. IJCNN Lei Cheng, Xiuwen Liu
2003	—	`conf`	Spectral Histogram Representations for Visual Modeling. AIPR Xiuwen Liu, Qiang Zhang
2003	B	`conf`	Spectral histogram based face detection. IJCNN Christopher A. Waring, Xiuwen Liu
2003	—	`conf`	Statistical Search for Hierarchical Linear Optimal Representations of Images. CVPR Workshops Qiang Zhang, Xiuwen Liu, Anuj Srivastava
2003	J	`jnl`	Statistical hypothesis pruning for identifying faces from infrared images. Image Vis. Comput. Anuj Srivastava, Xiuwen Liu
2003	—	`conf`	Stochastic Search for Optimal Linear Representations of Images on Spaces with Orthogonality Constraints. EMMCVPR Xiuwen Liu, Anuj Srivastava
2003	J	`jnl`	Texture classification using spectral histograms. IEEE Trans. Image Process. Xiuwen Liu, DeLiang L. Wang
2002	—	`conf`	A Spectral Representation for Appearance-Based Classification and Recognition. ICPR (1) Xiuwen Liu, Anuj Srivastava
2002	—	`conf`	Analytical Image Models and Their Applications. ECCV (1) Anuj Srivastava, Xiuwen Liu, Ulf Grenander
2002	J	`jnl`	Learning in Gibbsian Fields: How Accurate and How Fast Can It Be? IEEE Trans. Pattern Anal. Mach. Intell. Song Chun Zhu, Xiuwen Liu
2002	J	`jnl`	Scene analysis by integrating primitive segmentation and associative memory. IEEE Trans. Syst. Man Cybern. Part B DeLiang L. Wang, Xiuwen Liu
2002	—	`conf`	Spaces and subspaces of images for recognition. ICIP (3) Xiuwen Liu, Anuj Srivastava
2002	J	`jnl`	Universal Analytical Forms for Modeling Image Probabilities. IEEE Trans. Pattern Anal. Mach. Intell. Anuj Srivastava, Xiuwen Liu, Ulf Grenander
2001	—	`conf`	Analytical models for reduced spectral representations of images. ICIP (1) Anuj Srivastava, Xiuwen Liu, Ulf Grenander
2001	J	`jnl`	Extraction of hydrographic regions from remote sensing images using an oscillator network with weight adaptation. IEEE Trans. Geosci. Remote. Sens. Xiuwen Liu, Ke Chen, DeLiang Wang
2001	—	`conf`	Image segmentation using local spectral histograms. ICIP (1) Xiuwen Liu, DeLiang L. Wang, Anuj Srivastava
2000	J	`jnl`	Boundary detection by contextual non-linear smoothing. Pattern Recognit. Xiuwen Liu, DeLiang L. Wang, J. Raul Ramirez
2000	J	`jnl`	Equivalence of Julesz Ensembles and FRAME Models. Int. J. Comput. Vis. Ying Nian Wu, Song Chun Zhu, Xiuwen Liu
2000	J	`jnl`	Exploring Texture Ensembles by Efficient Markov Chain Monte Carlo-Toward a 'Trichromacy' Theory of Texture. IEEE Trans. Pattern Anal. Mach. Intell. Song Chun Zhu, Xiuwen Liu, Ying Nian Wu
2000	A*	`conf`	Learning in Gibbsian Fields: How Accurate and How Fast Can It Be? CVPR Song Chun Zhu, Xiuwen Liu
2000	J	`jnl`	Weight adaptation and oscillatory correlation for image segmentation. IEEE Trans. Neural Networks Learn. Syst. Ke Chen, DeLiang L. Wang, Xiuwen Liu
1999	B	`conf`	A boundary-pair representation for perception modeling. IJCNN Xiuwen Liu, DeLiang Wang
1999	A*	`conf`	Equivalence of Julesz and Gibbs Texture Ensembles. ICCV Ying Nian Wu, Song Chun Zhu, Xiuwen Liu
1999	—	`conf`	Perceptual Organization Based on Temporal Dynamics. NIPS Xiuwen Liu, DeLiang L. Wang
1999	B	`conf`	Perceptual organization based on temporal dynamics. IJCNN Xiuwen Liu, DeLiang Wang
1999	J	`jnl`	Range image segmentation using a relaxation oscillator network. IEEE Trans. Neural Networks Xiuwen Liu, DeLiang L. Wang
1998	—	`conf`	Oriented Statistical Nonlinear Smoothing Filter. ICIP (2) Xiuwen Liu, DeLiang L. Wang, J. Raul Ramirez
1997	—	`conf`	Range image segmentation using an oscillatory network. ICNN Xiuwen Liu, DeLiang Wang
1997	A	`conf`	Visualization of plant growth. IEEE Visualization Jeremy J. Loomis, Xiuwen Liu, Zhaohua Ding, Kikuo Fujimura, Michael L. Evans, Hideo Ishikawa
1993	—	`conf`	A Robust Motion Planner for Assembly Robots. ICRA (3) Yongcheng Li, Bo Zhang, Xiuwen Liu