A Robust Motion Planner for Assembly Robots. - Yongcheng Li; Bo Zhang; Xiuwen Liu 001 (ICRA (3), 1993)

Range image segmentation using an oscillatory network. - Xiuwen Liu 001; DeLiang Wang (ICNN, 1997)

Visualization of plant growth. - Jeremy J. Loomis; Xiuwen Liu 001; Zhaohua Ding; Kikuo Fujimura; Michael L. Evans; Hideo Ishikawa (IEEE Visualization, 1997)

Oriented Statistical Nonlinear Smoothing Filter. - Xiuwen Liu 001; DeLiang L. Wang; J. Raul Ramirez (ICIP (2), 1998)

Equivalence of Julesz and Gibbs Texture Ensembles. - Ying Nian Wu; Song Chun Zhu; Xiuwen Liu 001 (ICCV, 1999)

A boundary-pair representation for perception modeling. - Xiuwen Liu 001; DeLiang Wang (IJCNN, 1999)

Perceptual Organization Based on Temporal Dynamics. - Xiuwen Liu 001; DeLiang L. Wang (NIPS, 1999)

Range image segmentation using a relaxation oscillator network. - Xiuwen Liu 001; DeLiang L. Wang (IEEE Trans. Neural Networks, 1999)

Learning in Gibbsian Fields: How Accurate and How Fast Can It Be? - Song Chun Zhu; Xiuwen Liu 001 (CVPR, 2000)

Equivalence of Julesz Ensembles and FRAME Models. - Ying Nian Wu; Song Chun Zhu; Xiuwen Liu 001 (Int. J. Comput. Vis., 2000)

Exploring Texture Ensembles by Efficient Markov Chain Monte Carlo-Toward a 'Trichromacy' Theory of Texture. - Song Chun Zhu; Xiuwen Liu 001; Ying Nian Wu (IEEE Trans. Pattern Anal. Mach. Intell., 2000)

Boundary detection by contextual non-linear smoothing. - Xiuwen Liu 001; DeLiang L. Wang; J. Raul Ramirez (Pattern Recognit., 2000)

Weight adaptation and oscillatory correlation for image segmentation. - Ke Chen 001; DeLiang L. Wang; Xiuwen Liu 001 (IEEE Trans. Neural Networks Learn. Syst., 2000)

Image segmentation using local spectral histograms. - Xiuwen Liu 001; DeLiang L. Wang; Anuj Srivastava (ICIP (1), 2001)

Analytical models for reduced spectral representations of images. - Anuj Srivastava; Xiuwen Liu 001; Ulf Grenander (ICIP (1), 2001)

Extraction of hydrographic regions from remote sensing images using an oscillator network with weight adaptation. - Xiuwen Liu 001; Ke Chen 001; DeLiang Wang (IEEE Trans. Geosci. Remote. Sens., 2001)

Analytical Image Models and Their Applications. - Anuj Srivastava; Xiuwen Liu 001; Ulf Grenander (ECCV (1), 2002)

Spaces and subspaces of images for recognition. - Xiuwen Liu 001; Anuj Srivastava (ICIP (3), 2002)

A Spectral Representation for Appearance-Based Classification and Recognition. - Xiuwen Liu 001; Anuj Srivastava (ICPR (1), 2002)

Universal Analytical Forms for Modeling Image Probabilities. - Anuj Srivastava; Xiuwen Liu 001; Ulf Grenander (IEEE Trans. Pattern Anal. Mach. Intell., 2002)

Scene analysis by integrating primitive segmentation and associative memory. - DeLiang L. Wang; Xiuwen Liu 001 (IEEE Trans. Syst. Man Cybern. Part B, 2002)

Spectral Histogram Representations for Visual Modeling. - Xiuwen Liu 001; Qiang Zhang (AIPR, 2003)

Learning Optimal Representations for Image Retrieval Applications. - Xiuwen Liu 001; Anuj Srivastava; Donghu Sun (CIVR, 2003)

An Integrated Learning Framework for Recognition Based on Images. - Xiuwen Liu 001; Anuj Srivastava (CVPR Workshops, 2003)

Optimal Linear Representations of Images for Object Recognition. - Xiuwen Liu 001; Anuj Srivastava; Kyle A. Gallivan (CVPR (1), 2003)

Statistical Search for Hierarchical Linear Optimal Representations of Images. - Qiang Zhang; Xiuwen Liu 001; Anuj Srivastava (CVPR Workshops, 2003)

Stochastic Search for Optimal Linear Representations of Images on Spaces with Orthogonality Constraints. - Xiuwen Liu 001; Anuj Srivastava (EMMCVPR, 2003)

Sparse linear representations for recognition. - Lei Cheng; Xiuwen Liu 001 (IJCNN, 2003)

Integrated learning of linear representations. - Xiuwen Liu 001; Aruj Srivastava (IJCNN, 2003)

On intrinsic generalization of low dimensional representations of images for recognition. - Xiuwen Liu 001; Anuj Srivastava; DeLiang Wang (IJCNN, 2003)

Spectral histogram based face detection. - Christopher A. Waring; Xiuwen Liu 001 (IJCNN, 2003)

Hierarchical learning of optimal linear representations. - Qiang Zhang; Xiuwen Liu 001 (IJCNN, 2003)

Geometric Analysis of Constrained Curves. - Anuj Srivastava; Xiuwen Liu 001; Washington Mio; Eric Klassen (NIPS, 2003)

Statistical hypothesis pruning for identifying faces from infrared images. - Anuj Srivastava; Xiuwen Liu 001 (Image Vis. Comput., 2003)

Intrinsic generalization analysis of low dimensional representations. - Xiuwen Liu 001; Anuj Srivastava; DeLiang L. Wang (Neural Networks, 2003)

Texture classification using spectral histograms. - Xiuwen Liu 001; DeLiang L. Wang (IEEE Trans. Image Process., 2003)

A Computational Framework for Real-time Detection and Recognition of Large Number of Classes. - Xiuwen Liu 001 (AIPR, 2004)

Real Time Texture Classification using Field Programmable Gate Arrays. - Geoffrey Wall; Faizal Iqbal; Jason C. Isaacs; Xiuwen Liu 001; Simon Y. Foo (AIPR, 2004)

Kernel Optimal Component Analysis. - Qiang Zhang; Xiuwen Liu 001 (CVPR Workshops, 2004)

Hierarchical Organization of Shapes for Efficient Retrieval. - Shantanu H. Joshi; Anuj Srivastava; Washington Mio; Xiuwen Liu 001 (ECCV (3), 2004)

Learning and Bayesian Shape Extraction for Object Recognition. - Washington Mio; Anuj Srivastava; Xiuwen Liu 001 (ECCV (4), 2004)

Kernel Methods for Nonlinear Discriminative Data Analysis. - Xiuwen Liu 001; Washington Mio (EMMCVPR, 2005)

A Computational Approach to Fisher Information Geometry with Applications to Image Analysis. - Washington Mio; Dennis Badlyans; Xiuwen Liu 001 (EMMCVPR, 2005)

Non-parametric information geometry and multi-scale models of texture. - Washington Mio; Dennis Badlyans; Xiuwen Liu 001 (EUSIPCO, 2005)

Tools for application-driven linear dimension reduction. - Anuj Srivastava; Xiuwen Liu 001 (Neurocomputing, 2005)

Statistical Shape Analysis: Clustering, Learning, and Testing. - Anuj Srivastava; Shantanu H. Joshi; Washington Mio; Xiuwen Liu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2005)

Face detection using spectral histograms and SVMs. - Christopher A. Waring; Xiuwen Liu 001 (IEEE Trans. Syst. Man Cybern. Part B, 2005)

Recognition using Rapid Classification Tree. - Keith Haynes; Xiuwen Liu 001; Washington Mio (ICIP, 2006)

Splitting Factor Analysis and Multi-Class Boosting. - Xiuwen Liu 001; Washington Mio (ICIP, 2006)

Landmark Representation of Shapes and Fisher-Rao Geometry. - Washington Mio; Xiuwen Liu 001 (ICIP, 2006)

Rotation Invariant Face Detection using Spectral Histograms and Support Vector Machines. - Christopher A. Waring; Xiuwen Liu 001 (ICIP, 2006)

Two-Stage Optimal Component Analysis. - Yiming Wu 010; Xiuwen Liu 001; Washington Mio; Kyle A. Gallivan (ICIP, 2006)

Contour Inferences for Image Understanding. - Washington Mio; Anuj Srivastava; Xiuwen Liu 001 (Int. J. Comput. Vis., 2006)

Face recognition using optimal linear components of range images. - Anuj Srivastava; Xiuwen Liu 001; Curt Hesher (Image Vis. Comput., 2006)

Modeling Brain Anatomy with 3D Arrangements of Curves. - Washington Mio; John Christopher Bowers; Monica K. Hurdal; Xiuwen Liu 001 (ICCV, 2007)

Content-Based Image Categorization and Retrieval using Neural Networks. - Yuhua Zhu; Xiuwen Liu 001; Washington Mio (ICME, 2007)

Scalable optimal linear representation for face and object recognition. - Yiming Wu 010; Xiuwen Liu 001; Washington Mio (ICMLA, 2007)

Multi-Stage Optimal Component Analysis. - Yiming Wu 010; Xiuwen Liu 001; Washington Mio (IJCNN, 2007)

Parametrization, alignment and shape of spherical surfaces. - Xiuwen Liu 001; John Bowers; Washington Mio (VISAPP (1), 2007)

A learning approach to content-based image categorization and retrieval. - Washington Mio; Yuhua Zhu; Xiuwen Liu 001 (VISAPP (2), 2007)

Optimal Factor Analysis and Applications to Content-Based Image Retrieval. - Yuhua Zhu; Washington Mio; Xiuwen Liu 001 (VISIGRAPP (Selected Papers), 2007)

Human-aware robot motion planning with velocity constraints. - Dongqing Shi; Emmanuel G. Collins Jr.; Arturo Donate; Xiuwen Liu 001; Brian F. Goldiez; Damion D. Dunlap (CTS, 2008)

A Stochastic Clustering Auction (SCA) for Centralized and Distributed Task Allocation in Multi-agent Teams. - Kai Zhang; Emmanuel G. Collins Jr.; Dongqing Shi; Xiuwen Liu 001; Oscar Chuy Jr. (DARS, 2008)

Efficient and accurate subpixel path based stereo matching. - Arturo Donate; Ying Wang; Xiuwen Liu 001; Emmanuel G. Collins Jr. (ICPR, 2008)

Kernel functions for robust 3D surface registration with spectral embeddings. - Xiuwen Liu 001; Arturo Donate; Matthew Jemison; Washington Mio (ICPR, 2008)

Transductive optimal component analysis. - Yuhua Zhu; Yiming Wu 010; Xiuwen Liu 001; Washington Mio (ICPR, 2008)

Models of Normal Variation and Local Contrasts in Hippocampal Anatomy. - Xinyang Liu; Washington Mio; Yonggang Shi; Ivo D. Dinov; Xiuwen Liu 001; Natasha Leporé; Franco Lepore; Madeleine Fortin; Patrice Voss; Maryse Lassonde; Paul M. Thompson (MICCAI (2), 2008)

Learning representations for object classification using multi-stage optimal component analysis. - Yiming Wu 010; Xiuwen Liu 001; Washington Mio (Neural Networks, 2008)

Linear Representation Learning Using Sphere Factor Analysis. - Yiming Wu 010; Xiuwen Liu 001; Washington Mio (ICMLA, 2009)

Image retrieval based on intrinsic spectral histogram representation. - Yuhua Zhu; Xiuwen Liu 001; Washington Mio (IJCNN, 2009)

Optimal dimension reduction for image retrieval with correlation metrics. - Yuhua Zhu; Washington Mio; Xiuwen Liu 001 (IJCNN, 2009)

Registration of Contours of Brain Structures Through a Heat-Kernel Representation of Shape. - Jonathan Bates; Ying Wang; Xiuwen Liu 001; Washington Mio (ISBI, 2009)

Mapping Hippocampal Atrophy with a Multi-Scale Model of Shape. - Xinyang Liu; Yonggang Shi; Jonathan H. Morra; Xiuwen Liu 001; Paul M. Thompson; Washington Mio (ISBI, 2009)

Spherical Representations of Shape Using Parametrizations with Minimal Distortion. - Yue Qiu; Ying Wang; Xiuwen Liu 001; Washington Mio (ISBI, 2009)

Rut detection and following for autonomous ground vehicles. - Camilo Ordonez; Oscar Chuy; Emmanuel G. Collins Jr.; Xiuwen Liu 001 (Robotics: Science and Systems, 2009)

Rut Tracking and Steering Control for Autonomous Rut Following. - Camilo Ordonez; Oscar Y. Chuy; Emmanuel G. Collins Jr.; Xiuwen Liu 001 (SMC, 2009)

Shape of Elastic Strings in Euclidean Space. - Washington Mio; John Christopher Bowers; Xiuwen Liu 001 (Int. J. Comput. Vis., 2009)

DNA sequence feature selection for intrinsic nucleosome positioning signals using AdaBoost. - Yu Zhang; Xiuwen Liu 001; Justin A. Fincher; Jonathan H. Dennis (BCB, 2010)

On generalization of performance of classifiers for steganalysis. - Josef D. Allen; Xiuwen Liu 001; Liam M. Mayron; Washington Mio (CSIIRW, 2010)

3D structure estimation from monocular video clips. - Arturo Donate; Xiuwen Liu 001 (CVPR Workshops, 2010)

Shot boundary detection in videos using robust three-dimensional tracking. - Arturo Donate; Xiuwen Liu 001 (CVPR Workshops, 2010)

A Model of Volumetric Shape for the Analysis of Longitudinal Alzheimer's Disease Data. - Xinyang Liu; Xiuwen Liu 001; Yonggang Shi; Paul M. Thompson; Washington Mio (ECCV (3), 2010)

Scale-Space Spectral Representation of Shape. - Jonathan Bates; Xiuwen Liu 001; Washington Mio (ICPR, 2010)

A Riemannian model of regional degeneration of the hippocampus in Alzheimer's disease. - Xiuwen Liu 001; Yonggang Shi; Ying Wang; Paul M. Thompson; Washington Mio (ISBI, 2010)

A Computational Model of Multidimensional Shape. - Xiuwen Liu 001; Yonggang Shi; Ivo D. Dinov; Washington Mio (Int. J. Comput. Vis., 2010)

Three Dimensional Information Extraction and Applications to Video Analysis. - Arturo Donate; Xiuwen Liu 001 (Video Search and Mining, 2010)

Early detection of Alzheimer's based on intrinsic measurements. - Prabesh Kanel; Xiuwen Liu 001; Washington Mio (BIBM Workshops, 2011)

An accurate and reliable method for automatic picking of HIV/SIV spikes. - Chaity B. Mukherjee; Hanspeter Winkler; Xiuwen Liu 001; Moumita Dutta; Kenneth H. Roux; Kenneth A. Taylor (BIBM Workshops, 2011)

Generative/discriminative models for nucleosome positioning. - Yu Zhang; Xiuwen Liu 001 (BIBM Workshops, 2011)

Preventing cascading event: a distributed cyber-physical approach. - Josef D. Allen; Sereyvathana Ty; Xiuwen Liu 001; Ivan Lozano (CSIIRW, 2011)

A hybrid PCA-LDA model for dimension reduction. - Nan Zhao; Washington Mio; Xiuwen Liu 001 (IJCNN, 2011)

Spectral signatures of point clouds and applications to detection of Alzheimer's Disease through Neuroimaging. - Jonathan Bates; Dominic Pafundi; Prabesh Kanel; Xiuwen Liu 001; Washington Mio (ISBI, 2011)

FISH Finder: a high-throughput tool for analyzing FISH images. - James W. Shirley; Sereyvathana Ty; Shin-ichiro Takebayashi; Xiuwen Liu 001; David M. Gilbert (Bioinform., 2011)

Laser-based rut detection and following system for autonomous ground vehicles. - Camilo Ordonez; Oscar Y. Chuy; Emmanuel G. Collins Jr.; Xiuwen Liu 001 (J. Field Robotics, 2011)

Efficient Path-Based Stereo Matching With Subpixel Accuracy. - Arturo Donate; Xiuwen Liu 001; Emmanuel G. Collins Jr. (IEEE Trans. Syst. Man Cybern. Part B, 2011)

One-base-pair localization of nucleosomes. - Xiuwen Liu 001; Yu Zhang; Teng L. Liu; Jonathan H. Dennis (BIBM Workshops, 2012)

Quantitative models for statistical nucleosome occupancy prediction. - Yu Zhang; Xiuwen Liu 001; Jonathan H. Dennis (BIBM Workshops, 2012)

A Trusted Computing Architecture for Secure Substation Automation. - David Guidry; Mike Burmester; Xiuwen Liu 001; Jonathan Jenkins; Sean Easton; Xin Yuan 001 (CRITIS, 2012)

Efficient Mining of Repetitions in Large-Scale TV Streams with Product Quantization Hashing. - Jiangbo Yuan; Guillaume Gravier; Sébastien Campion; Xiuwen Liu 001; Hervé Jégou (ECCV Workshops (1), 2012)

A novel index structure for large scale image descriptor search. - Jiangbo Yuan; Xiuwen Liu 001 (ICIP, 2012)

A cyber-physical approach to a wide-area actionable system for the power grid. - Josef D. Allen; Xiuwen Liu 001; Ivan Lozano; Xin Yuan 001 (MILCOM, 2012)

Transform Residual K-Means Trees for Scalable Clustering. - Jiangbo Yuan; Xiuwen Liu 001 (ICDM Workshops, 2013)

Towards a secure electricity grid. - Mike Burmester; Joshua Lawrence; David Guidry; Sean Easton; Sereyvathana Ty; Xiuwen Liu 001; Xin Yuan 001; Jonathan Jenkins (ISSNIP, 2013)

Trusted Group Key Management for Real-Time Critical Infrastructure Protection. - Jonathan Jenkins; Sean Easton; David Guidry; Mike Burmester; Xiuwen Liu 001; Xin Yuan 001; Joshua Lawrence; Sereyvathana Ty (MILCOM, 2013)

Dyadic Attribution: A Theoretical Model for Interpreting Online Words and Actions. - Shuyuan Mary Ho; Shashanka Surya Timmarajus; Mike Burmester; Xiuwen Liu 001 (SBP, 2014)

A path based approach to quantifying the progression of Alzheimer's disease. - Prabesh Kanel; Xiuwen Liu 001 (BIBM, 2015)

Preventing Cyber-induced Irreversible Physical Damage to Cyber-Physical Systems. - Jaewon Yang; Xiuwen Liu 001; Shamik Bose (CISR, 2015)

Product tree quantization for approximate nearest neighbor search. - Jiangbo Yuan; Xiuwen Liu 001 (ICIP, 2015)

Nano-scale context-sensitive semantic segmentation. - Nan Zhao; Chaity Banerjee; Xiuwen Liu 001 (ICIP, 2015)

Liar, Liar, IM on Fire: Deceptive language-action cues in spontaneous online communication. - Shuyuan Mary Ho; Jeffrey T. Hancock; Cheryl Booth; Xiuwen Liu 001; Shashanka Surya Timmarajus; Mike Burmester (ISI, 2015)

A scalable spatiotemporal inference framework based on statistical shape analysis for natural ecosystem monitoring by remote sensing. - Xiuwen Liu 001; Atharva Sharma; Xiaojun Yang; Nigel Nye (MultiTemp, 2015)

Transformed Residual Quantization for Approximate Nearest Neighbor Search. - Jiangbo Yuan; Xiuwen Liu 001 (CoRR, 2015)

Demystifying Insider Threat: Language-Action Cues in Group Dynamics. - Shuyuan Mary Ho; Jeffrey T. Hancock; Cheryl Booth; Mike Burmester; Xiuwen Liu 001; Shashanka Surya Timmarajus (HICSS, 2016)

Real or Spiel? A Decision Tree Approach for Automated Detection of Deceptive Language-Action Cues. - Shuyuan Mary Ho; Jeffrey T. Hancock; Cheryl Booth; Xiuwen Liu 001; Muye Liu; Shashanka Surya Timmarajus; Mike Burmester (HICSS, 2016)

Fast Nearest Neighbor Search with Transformed Residual Quantization. - Jiangbo Yuan; Xiuwen Liu 001 (ICMLA, 2016)

Saint or Sinner? Language-Action Cues for Modeling Deception Using Support Vector Machines. - Shuyuan Mary Ho; Xiuwen Liu 001; Cheryl Booth; Aravind Hariharan (SBP-BRiMS, 2016)

TBAS: Enhancing Wi-Fi Authentication by Actively Eliciting Channel State Information. - Muye Liu; Avishek Mukherjee; Zhenghao Zhang; Xiuwen Liu 001 (SECON, 2016)

Computer-Mediated Deception: Strategies Revealed by Language-Action Cues in Spontaneous Communication. - Shuyuan Mary Ho; Jeffrey T. Hancock; Cheryl Booth; Xiuwen Liu 001 (J. Manag. Inf. Syst., 2016)

An exploration of semantic relations in neural word embeddings using extrinsic knowledge. - Zhiwei Chen; Zhe He 001; Xiuwen Liu 001; Jiang Bian 001 (BIBM, 2017)

A patch-based convolutional neural network for remote sensing image classification. - Atharva Sharma; Xiuwen Liu 001; Xiaojun Yang; Di Shi (Neural Networks, 2017)

Layered Multistep Bidirectional Long Short-Term Memory Networks for Biomedical Word Sense Disambiguation. - Daniel Bis; Canlin Zhang; Xiuwen Liu 001; Zhe He 001 (BIBM, 2018)

Evaluating semantic relations in neural word embeddings with biomedical and general domain knowledge bases. - Zhiwei Chen; Zhe He 001; Xiuwen Liu 001; Jiang Bian 001 (BMC Medical Informatics Decis. Mak., 2018)

Correction to: Evaluating semantic relations in neural word embeddings with biomedical and general domain knowledge bases. - Zhiwei Chen; Zhe He 001; Xiuwen Liu 001; Jiang Bian 001 (BMC Medical Informatics Decis. Mak., 2018)

Land cover classification from multi-temporal, multi-spectral remotely sensed imagery using patch-based recurrent neural networks. - Atharva Sharma; Xiuwen Liu 001; Xiaojun Yang (Neural Networks, 2018)

High-resolution home location prediction from tweets using deep learning with dynamic structure. - Meysam Ghaffari; Ashok Srinivasan; Xiuwen Liu 001 (ASONAM, 2019)

Next-generation high-resolution vector-borne disease risk assessment. - Meysam Ghaffari; Ashok Srinivasan; Anuj Mubayi; Xiuwen Liu 001; Krishnan Viswanathan (ASONAM, 2019)

Sparsity as the Implicit Gating Mechanism for Residual Blocks. - Shaeke Salman; Xiuwen Liu 001 (IJCNN, 2019)

An Analysis on the Learning Rules of the Skip-Gram Model. - Canlin Zhang; Xiuwen Liu 001; Daniel Bis (IJCNN, 2019)

Biomedical word sense disambiguation with bidirectional long short-term memory and attention-based neural networks. - Canlin Zhang; Daniel Bis; Xiuwen Liu 001; Zhe He 001 (BMC Bioinform., 2019)

Overfitting Mechanism and Avoidance in Deep Neural Networks. - Shaeke Salman; Xiuwen Liu 001 (CoRR, 2019)

Interpretable Deep Neural Networks for Patient Mortality Prediction: A Consensus-based Approach. - Shaeke Salman; Seyedeh Neelufar Payrovnaziri; Xiuwen Liu 001; Zhe He 001 (CoRR, 2019)

Identifying Optimism and Pessimism in Twitter Messages Using XLNet and Deep Consensus. - Ali Alshahrani; Meysam Ghaffari; Kobra Amirizirtol; Xiuwen Liu 001 (IJCNN, 2020)

Explaining AI for Malware Detection: Analysis of Mechanisms of MalConv. - Shamik Bose; Timothy Barao; Xiuwen Liu 001 (IJCNN, 2020)

Effects of Architecture and Training on Embedding Geometry and Feature Discriminability in BERT. - Maksim Podkorytov; Daniel Bis; Jinglun Cai; Kobra Amirizirtol; Xiuwen Liu 001 (IJCNN, 2020)

DeepConsensus: Consensus-based Interpretable Deep Neural Networks with Application to Mortality Prediction. - Shaeke Salman; Seyedeh Neelufar Payrovnaziri; Xiuwen Liu 001; Pablo Rengifo-Moreno; Zhe He 001 (IJCNN, 2020)

Towards Quantifying Intrinsic Generalization of Deep ReLU Networks. - Shaeke Salman; Canlin Zhang; Xiuwen Liu 001; Washington Mio (IJCNN, 2020)

Preserving the Hypernym Tree of WordNet in Dense Embeddings. - Canlin Zhang; Xiuwen Liu 001 (CoRR, 2020)

Explainable artificial intelligence models using real-world electronic health record data: a systematic scoping review. - Seyedeh Neelufar Payrovnaziri; Zhaoyi Chen; Pablo Rengifo-Moreno; Tim Miller 001; Jiang Bian 001; Jonathan H. Chen; Xiuwen Liu 001; Zhe He 001 (J. Am. Medical Informatics Assoc., 2020)

Optimism/Pessimism Prediction of Twitter Messages and Users Using BERT with Soft Label Assignment. - Ali Alshahrani; Meysam Ghaffari; Kobra Amirizirtol; Xiuwen Liu 001 (IJCNN, 2021)

How Can the [MASK] Know? The Sources and Limitations of Knowledge in BERT. - Maksim Podkorytov; Daniel Bis; Xiuwen Liu 001 (IJCNN, 2021)

Too Much in Common: Shifting of Embeddings in Transformer Language Models and its Implications. - Daniel Bis; Maksim Podkorytov; Xiuwen Liu 001 (NAACL-HLT, 2021)

The domestic computer science graduate students are there, we just need to recruit them. - David B. Whalley; Xin Yuan 001; Xiuwen Liu 001 (Commun. ACM, 2021)

High-resolution home location prediction from Twitter activities using consensus deep learning. - Meysam Ghaffari; Ashok Srinivasan; Xiuwen Liu 001; Shayok Chakraborty (Soc. Netw. Anal. Min., 2021)

Geometric Analysis and Metric Learning of Instruction Embeddings. - Sajib Biswas; Timothy Barao; John Lazzari; Jeret McCoy; Xiuwen Liu 001; Alexander Kostandarithes (IJCNN, 2022)

Dense Embeddings Preserving the Semantic Relationships in WordNet. - Canlin Zhang; Xiuwen Liu 001 (IJCNN, 2022)

Facial Deepfake Detection Using Gaussian Processes. - Uzoamaka Ezeakunne; Xiuwen Liu 001 (PSIVT, 2023)

Understanding the Spectral Bias of Coordinate Based MLPs Via Training Dynamics. - John Lazzari; Xiuwen Liu 001 (CoRR, 2023)

Improved Stock Price Movement Classification Using News Articles Based on Embeddings and Label Smoothing. - Luis Villamil; Ryan Bausback; Shaeke Salman; Ting L. Liu; Conrad Horn; Xiuwen Liu 001 (CoRR, 2023)

Automatic Historical Stock Price Dataset Generation Using Python. - Arunima Mandal; Yuanhang Shao; Xiuwen Liu 001 (CoRR, 2023)

Social distance "nudge:" a context aware mHealth intervention in response to COVID pandemics. - Shuyuan Mary Ho; Xiuwen Liu 001; Md Shamim Seraj; Sabrina Dickey (Comput. Math. Organ. Theory, 2023)

FaCTQA:Detecting and Localizing Factual Errors in Generated Summaries Through Question and Answering from Heterogeneous Models. - Trina Dutta; Xiuwen Liu 001 (IJCNN, 2024)

Nonlinear Correct and Smooth for Semi-Supervised Learning. - Yuanhang Shao; Xiuwen Liu 001 (IJCNN, 2024)

Inductive Link Prediction in Knowledge Graphs using Path-based Neural Networks. - Canlin Zhang; Xiuwen Liu 001 (IJCNN, 2024)

Malicious Path Manipulations via Exploitation of Representation Vulnerabilities of Vision-Language Navigation Systems. - Chashi Mahiul Islam; Shaeke Salman; Montasir Shams; Xiuwen Liu 001; Piyush Kumar (IROS, 2024)

Intriguing Equivalence Structures of the Embedding Space of Vision Transformers. - Shaeke Salman; Md Montasir Bin Shams; Xiuwen Liu 001 (CoRR, 2024)

Intriguing Differences Between Zero-Shot and Systematic Evaluations of Vision-Language Transformer Models. - Shaeke Salman; Md Montasir Bin Shams; Xiuwen Liu 001; Lingjiong Zhu (CoRR, 2024)

Learning Regularities from Data using Spiking Functions: A Theory. - Canlin Zhang; Xiuwen Liu 001 (CoRR, 2024)

Unaligning Everything: Or Aligning Any Text to Any Image in Multimodal Models. - Shaeke Salman; Md Montasir Bin Shams; Xiuwen Liu 001 (CoRR, 2024)

Data-Driven Fairness Generalization for Deepfake Detection. - Uzoamaka Ezeakunne; Chrisantus Eze; Xiuwen Liu 001 (ICAART (3), 2025)

Adversarial Attack on Large Language Models using Exponentiated Gradient Descent. - Sajib Biswas; Mao Nishino; Samuel Jacob Chacko; Xiuwen Liu 001 (IJCNN, 2025)

Intriguing Differences Between Zero-Shot and Systematic Evaluations of Vision-Language Transformer Models. - Shaeke Salman; Montasir Shams; Xiuwen Liu 001; Lingjiong Zhu (IJCNN, 2025)

Unaligning Everything: Or Aligning Any Text to Any Image in Multimodal Models. - Shaeke Salman; Montasir Shams; Mao Nishino; Xiuwen Liu 001 (IJCNN, 2025)

Vision Embeddings and Their Role in Hallucination Vulnerabilities of Multimodal Large Language Models. - Chashi Mahiul Islam; Samuel Jacob Chacko; Preston Horne; Xiuwen Liu 001 (ISVC (2), 2025)

NeuroShield-ViT: Mechanistic Understandings of Representation Vulnerabilities and Engineering Robust Vision Transformers. - Chashi Mahiul Islam; Samuel Jacob Chacko; Mao Nishino; Xiuwen Liu 001 (ISVC (1), 2025)

Spatial-ViLT: Enhancing Visual Spatial Reasoning Through Multi-task Learning. - Chashi Mahiul Islam; Oteo Mamo; Samuel Jacob Chacko; Xiuwen Liu 001; Weikuan Yu (ISVC (2), 2025)

Statistical Time Series Modeling of Quantum Systems Using Rough Transformers. - Yuanhang Shao; Chashi Mahiul Islam; Samuel Jacob Chacko; Ryan Carmichael; Jake Scally; Xiuwen Liu 001; Bayaner Arigong (QCE, 2025)

Mechanistic Understandings of Representation Vulnerabilities and Engineering Robust Vision Transformers. - Chashi Mahiul Islam; Samuel Jacob Chacko; Mao Nishino; Xiuwen Liu 001 (CoRR, 2025)

DeepSeek on a Trip: Inducing Targeted Visual Hallucinations via Representation Vulnerabilities. - Chashi Mahiul Islam; Samuel Jacob Chacko; Preston Horne; Xiuwen Liu 001 (CoRR, 2025)

Minimum Description Length of a Spectrum Variational Autoencoder: A Theory. - Canlin Zhang; Xiuwen Liu 001 (CoRR, 2025)

Nonlinear Correct and Smooth for Graph-Based Semi-Supervised Learning. - Yuanhang Shao; Xiuwen Liu 001 (ACM Trans. Knowl. Discov. Data, 2025)

Are Vision Transformer Representations Semantically Meaningful? A Case Study in Medical Imaging. - Montasir Shams; Chashi Mahiul Islam; Shaeke Salman; Phat Tran; Xiuwen Liu 001 (CoRR, 2025)

Universal and Transferable Adversarial Attack on Large Language Models Using Exponentiated Gradient Descent. - Sajib Biswas; Mao Nishino; Samuel Jacob Chacko; Xiuwen Liu 001 (CoRR, 2025)

CS-Guide: Leveraging LLMs and Student Reflections to Provide Frequent, Scalable Academic Monitoring Feedback to Computer Science Students. - Samuel Jacob Chacko; An-I Andy Wang; Lara Perez-Felkner; Sonia Haiduc; David B. Whalley; Xiuwen Liu 001 (CoRR, 2025)

Adversarial attacks on large language models using regularized relaxation. - Samuel Jacob Chacko; Sajib Biswas; Chashi Mahiul Islam; Fatema Tabassum Liza; Xiuwen Liu 001 (Inf. Sci., 2026)

STRIATUM-CTF: A Protocol-Driven Agentic Framework for General-Purpose CTF Solving. - James Hugglestone; Samuel Jacob Chacko; Dawson Stoller; Ryan Schmidt; Xiuwen Liu 001 (CoRR, 2026)

Numerical Instability and Chaos: Quantifying the Unpredictability of Large Language Models. - Chashi Mahiul Islam; Alan Villarreal; Mao Nishino; Shaeke Salman; Xiuwen Liu 001 (CoRR, 2026)