Vikas Singh - RankMe

239 papers A* 67A 3B 6Misc 2Journal 102Unranked 58

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Concept Attractors in LLMs and their Applications. CoRR Sotirios Panagiotis Chytas, Vikas Singh
2026	J	`jnl`	Learning from Biased and Costly Data Sources: Minimax-optimal Data Collection under a Budget. CoRR Michael O. Harding, Vikas Singh, Kirthevasan Kandasamy
2025	J	`jnl`	Brain-wide interpolation and conditioning of gene expression in the human brain using Implicit Neural Representations. CoRR Xizheng Yu, Justin Torok, Sneha Pandya, Sourav Pal, Vikas Singh, Ashish Raj
2025	J	`jnl`	Broadband Lumped Mirror Array mmWave Antenna for Wireless and Defense Systems. J. Electr. Comput. Eng. Manish Varun Yadav, Lanston Pramith Fernandes, Swati Varun Yadav, Tanweer Ali, Dinesh Yadav, Vikas Singh, Kirti Panwar bhati
2025	J	`jnl`	CafeQ: Calibration-free Quantization via Learned Transformations and Adaptive Rounding. CoRR Ziteng Sun, Adrian Benton, Samuel Kushnir, Asher Trockman, Vikas Singh, Suhas N. Diggavi, Ananda Theertha Suresh
2025	J	`jnl`	Composing Linear Layers from Irreducibles. CoRR Travis Pence, Daisuke Yamada, Vikas Singh
2025	J	`jnl`	FoGE: Fock Space inspired encoding for graph prompting. CoRR Sotirios Panagiotis Chytas, Rudrasis Chakraborty, Vikas Singh
2025	J	`jnl`	NeuroScalar: A Deep Learning Framework for Fast, Accurate, and In-the-Wild Cycle-Level Performance Prediction. CoRR Shayne Wadle, Yanxin Zhang, Vikas Singh, Karthikeyan Sankaralingam
2025	J	`jnl`	ReCo: Reminder Composition Mitigates Hallucinations in Vision-Language Models. CoRR Sotirios Panagiotis Chytas, Miso Choi, Hyunwoo J. Kim, Vikas Singh
2025	J	`jnl`	Real-Time Brain Tumor Detection in Intraoperative Ultrasound Using YOLO11: From Model Training to Deployment in the Operating Room. CoRR Santiago Cepeda, Olga Esteban-Sinovas, Roberto Romero, Vikas Singh, Prakash Shetty, Aliasgar Moiyadi, Ilyess Zemmoura, Giuseppe Roberto Giammalva, Massimiliano Del Bene, Arianna Barbotti, Francesco DiMeco, Timothy R. West, Brian V. Nahed, Ignacio Arrese, Roberto Hornero, Rosario Sarabia
2025	J	`jnl`	Real-time brain tumor detection in intraoperative ultrasound: From model training to deployment in the operating room. Comput. Biol. Medicine Santiago Cepeda, Olga Esteban-Sinovas, Roberto Romero, Vikas Singh, Prakash Shetty, Aliasgar Moiyadi, Ilyess Zemmoura, Giuseppe Roberto Giammalva, Massimiliano Del Bene, Arianna Barbotti, Francesco DiMeco, Timothy R. West, Brian V. Nahed, Ignacio Arrese, Roberto Hornero, Rosario Sarabia
2025	A*	`conf`	SimpleTM: A Simple Baseline for Multivariate Time Series Forecasting. ICLR Hui Chen, Viet Luong, Lopamudra Mukherjee, Vikas Singh
2025	J	`jnl`	Variable feature weighted fuzzy k-means algorithm for high dimensional data. Multim. Tools Appl. Vikas Singh, Nishchal K. Verma
2024	J	`jnl`	AT-2FF: Adaptive Type-2 Fuzzy Filter for De-noising Images Corrupted with Salt-and-Pepper. CoRR Vikas Singh
2024	J	`jnl`	Adaptive Type-2 Fuzzy Filter With Kernel Density Estimation for Impulse Noise Removal. IEEE Trans. Fuzzy Syst. Vikas Singh, Alankrita, Vipin Chandra Pal, Avadh Pati
2024	A*	`conf`	FrameQuant: Flexible Low-Bit Quantization for Transformers. ICML Harshavardhan Adepu, Zhanpeng Zeng, Li Zhang, Vikas Singh
2024	J	`jnl`	FrameQuant: Flexible Low-Bit Quantization for Transformers. CoRR Harshavardhan Adepu, Zhanpeng Zeng, Li Zhang, Vikas Singh
2024	J	`jnl`	Hotel Booking Cancellation Prediction Using Applied Bayesian Models. CoRR Md. Asifuzzaman Jishan, Vikas Singh, Ayan Kumar Ghosh, Md. Shahabub Alam, Khan Raqib Mahmud, Bijan Paul
2024	A*	`conf`	IM-Unpack: Training and Inference with Arbitrarily Low Precision Integers. ICML Zhanpeng Zeng, Karthikeyan Sankaralingam, Vikas Singh
2024	J	`jnl`	IM-Unpack: Training and Inference with Arbitrarily Low Precision Integers. CoRR Zhanpeng Zeng, Karthikeyan Sankaralingam, Vikas Singh
2024	A*	`conf`	Implicit Representations via Operator Learning. ICML Sourav Pal, Harshavardhan Adepu, Clinton J. Wang, Polina Golland, Vikas Singh
2024	J	`jnl`	LookupFFN: Making Transformers Compute-lite for CPU inference. CoRR Zhanpeng Zeng, Michael Davies, Pranav Pulijala, Karthikeyan Sankaralingam, Vikas Singh
2024	J	`jnl`	Normalization of RNA-Seq data using adaptive trimmed mean with multi-reference. Briefings Bioinform. Vikas Singh, Nikhil Kirtipal, Byeongsop Song, Sunjae Lee
2024	A*	`conf`	Pooling Image Datasets with Multiple Covariate Shift and Imbalance. ICLR Sotirios Panagiotis Chytas, Vishnu Suresh Lokhande, Vikas Singh
2024	—	`conf`	Understanding Multi-compositional Learning in Vision and Language Models via Category Theory. ECCV (48) Sotirios Panagiotis Chytas, Hyunwoo J. Kim, Vikas Singh
2024	J	`jnl`	Variational Sampling of Temporal Trajectories. CoRR Jurijs Nazarovs, Zhichun Huang, Xingjian Zhen, Sourav Pal, Rudrasis Chakraborty, Vikas Singh
2023	J	`jnl`	Artificial intelligence application in fault diagnostics of rotating industrial machines: a state-of-the-art review. J. Intell. Manuf. Vikas Singh, Purushottam Gangsar, Rajkumar Porwal, A. Atulkar
2023	A*	`conf`	Controlled Differential Equations on Long Sequences via Non-standard Wavelets. ICML Sourav Pal, Zhanpeng Zeng, Sathya N. Ravi, Vikas Singh
2023	—	`conf`	Disease Prediction using Chest X-ray Images in Serverless Data pipeline Framework. CCGridW Vikas Singh, Neha Singh, Mainak Adhikari
2023	A*	`conf`	Efficient Discrete Multi Marginal Optimal Transport Regularization. ICLR Ronak Mehta, Jeffery Kline, Vishnu Suresh Lokhande, Glenn Fung, Vikas Singh
2023	—	`conf`	Identification of Distributed Denial of Service Attacks Employing L-BFGS Tuning. ICCCNT Vikas Singh, Vasudev Dehalwar, Jyoti Bharti
2023	J	`jnl`	Improved adaptive type-2 fuzzy filter with exclusively two fuzzy membership function for filtering salt and pepper noise. Multim. Tools Appl. Vikas Singh, Pooja Agrawal, Teena Sharma, Nishchal K. Verma
2023	J	`jnl`	Kora: A Cloud-Native Event Streaming Platform for Kafka. Proc. VLDB Endow. Anna Povzner, Prince Mahajan, Jason Gustafson, Jun Rao, Ismael Juma, Feng Min, Shriram Sridharan, Nikhil Bhatia, Gopi K. Attaluri, Adithya Chandra, Stanislav Kozlovski, Rajini Sivaram, Lucas Bradstreet, Bob Barrett, Dhruvil Shah, David Jacot, David Arthur, Manveer Chawla, Ron Dagostino, Colin Mccabe, Manikumar Reddy Obili, Kowshik Prakasam, Jose Garcia Sancio, Vikas Singh, Alok Nikhil, Kamal Gupta
2023	A*	`conf`	LookupFFN: Making Transformers Compute-lite for CPU inference. ICML Zhanpeng Zeng, Michael Davies, Pranav Pulijala, Karthikeyan Sankaralingam, Vikas Singh
2023	Misc	`conf`	Robustness and Convergence of Mirror Descent for Blind Deconvolution. ICASSP Ronak Mehta, Sathya N. Ravi, Vikas Singh
2023	A*	`conf`	VCC: Scaling Transformers to 128K Tokens or More by Prioritizing Important Tokens. NeurIPS Zhanpeng Zeng, Cole Hawkins, Mingyi Hong, Aston Zhang, Nikolaos Pappas, Vikas Singh, Shuai Zheng
2023	J	`jnl`	Vcc: Scaling Transformers to 128K Tokens or More by Prioritizing Important Tokens. CoRR Zhanpeng Zeng, Cole Hawkins, Mingyi Hong, Aston Zhang, Nikolaos Pappas, Vikas Singh, Shuai Zheng
2022	—	`conf`	AHP-PCP: AHP based Probabilistic Consensus Protocol for Probabilistic Knowledge-based Blockchains. ANTS Vikas Singh, Shachi Sharma
2022	A*	`conf`	Deep Unlearning via Randomized Conditionally Independent Hessians. CVPR Ronak Mehta, Sourav Pal, Vikas Singh, Sathya N. Ravi
2022	J	`jnl`	Deep Unlearning via Randomized Conditionally Independent Hessians. CoRR Ronak Mehta, Sourav Pal, Vikas Singh, Sathya N. Ravi
2022	A*	`conf`	Equivariance Allows Handling Multiple Nuisance Variables When Analyzing Pooled Neuroimaging Datasets. CVPR Vishnu Suresh Lokhande, Rudrasis Chakraborty, Sathya N. Ravi, Vikas Singh
2022	J	`jnl`	Equivariance Allows Handling Multiple Nuisance Variables When Analyzing Pooled Neuroimaging Datasets. CoRR Vishnu Suresh Lokhande, Rudrasis Chakraborty, Sathya N. Ravi, Vikas Singh
2022	A*	`conf`	Forward Operator Estimation in Generative Models with Kernel Transfer Operators. ICML Zhichun Huang, Rudrasis Chakraborty, Vikas Singh
2022	J	`jnl`	Graph Reparameterizations for Enabling 1000+ Monte Carlo Iterations in Bayesian Deep Neural Networks. CoRR Jurijs Nazarovs, Ronak R. Mehta, Vishnu Suresh Lokhande, Vikas Singh
2022	—	`conf`	Investigating Functional Brain Network Abnormalities via Differential Covariance Trajectory Analysis and Scan Statistics. ISBI Anita Sinha, Ronak Mehta, Veena A. Nair, Rasmus M. Birn, Vikas Singh, Vivek Prabhakaran
2022	J	`jnl`	Mixed Effects Neural ODE: A Variational Approximation for Analyzing the Dynamics of Panel Data. CoRR Jurijs Nazarovs, Rudrasis Chakraborty, Songwong Tasneeyapant, Sathya N. Ravi, Vikas Singh
2022	A*	`conf`	Multi Resolution Analysis (MRA) for Approximate Self-Attention. ICML Zhanpeng Zeng, Sourav Pal, Jeffery Kline, Glenn Moo Fung, Vikas Singh
2022	J	`jnl`	Multi Resolution Analysis (MRA) for Approximate Self-Attention. CoRR Zhanpeng Zeng, Sourav Pal, Jeffery Kline, Glenn Moo Fung, Vikas Singh
2022	—	`conf`	On the Versatile Uses of Partial Distance Correlation in Deep Learning. ECCV (26) Xingjian Zhen, Zihang Meng, Rudrasis Chakraborty, Vikas Singh
2022	J	`jnl`	On the Versatile Uses of Partial Distance Correlation in Deep Learning. CoRR Xingjian Zhen, Zihang Meng, Rudrasis Chakraborty, Vikas Singh
2022	J	`jnl`	Performing Group Difference Testing on Graph Structured Data From GANs: Analysis and Applications in Neuroimaging. IEEE Trans. Pattern Anal. Mach. Intell. Tuan Q. Dinh, Yunyang Xiong, Zhichun Huang, Tien Vo, Akshay Mishra, Won Hwa Kim, Sathya N. Ravi, Vikas Singh
2022	A*	`conf`	Understanding Uncertainty Maps in Vision with Statistical Testing. CVPR Jurijs Nazarovs, Zhichun Huang, Songwong Tasneeyapant, Rudrasis Chakraborty, Vikas Singh
2021	A	`conf`	A variational approximation for analyzing the dynamics of panel data. UAI Jurijs Nazarovs, Rudrasis Chakraborty, Songwong Tasneeyapant, Sathya N. Ravi, Vikas Singh
2021	A*	`conf`	An Online Riemannian PCA for Stochastic Canonical Correlation Analysis. NeurIPS Zihang Meng, Rudrasis Chakraborty, Vikas Singh
2021	J	`jnl`	An Online Riemannian PCA for Stochastic Canonical Correlation Analysis. CoRR Zihang Meng, Rudrasis Chakraborty, Vikas Singh
2021	J	`jnl`	BIDEAL: A Toolbox for Bicluster Analysis - Generation, Visualization and Validation. SN Comput. Sci. Nishchal K. Verma, Teena Sharma, Sonal Dixit, Pooja Agrawal, Sourya Sengupta, Vikas Singh
2021	J	`jnl`	Condition-Based Monitoring in Variable Machine Running Conditions Using Low-Level Knowledge Transfer With DNN. IEEE Trans Autom. Sci. Eng. Seetaram Maurya, Vikas Singh, Nishchal K. Verma, Chris K. Mechefske
2021	A*	`conf`	Connecting What To Say With Where To Look by Modeling Human Attention Traces. CVPR Zihang Meng, Licheng Yu, Ning Zhang, Tamara L. Berg, Babak Damavandi, Vikas Singh, Amy Bearman
2021	J	`jnl`	Connecting What to Say With Where to Look by Modeling Human Attention Traces. CoRR Zihang Meng, Licheng Yu, Ning Zhang, Tamara L. Berg, Babak Damavandi, Vikas Singh, Amy Bearman
2021	A*	`conf`	Differentiable Optimization of Generalized Nondecomposable Functions using Linear Programs. NeurIPS Zihang Meng, Lopamudra Mukherjee, Yichao Wu, Vikas Singh, Sathya N. Ravi
2021	A*	`conf`	Flow-based Generative Models for Learning Manifold to Manifold Mappings. AAAI Xingjian Zhen, Rudrasis Chakraborty, Liu Yang, Vikas Singh
2021	J	`jnl`	Forward Operator Estimation in Generative Models with Kernel Transfer Operators. CoRR Zhichun Huang, Rudrasis Chakraborty, Vikas Singh
2021	J	`jnl`	Graph Neural Networks to Predict Customer Satisfaction Following Interactions with a Corporate Call Center. CoRR Teja Kanchinadam, Zihang Meng, Joseph Bockhorst, Vikas Singh, Glenn Fung
2021	A	`conf`	Graph reparameterizations for enabling 1000+ Monte Carlo iterations in Bayesian deep neural networks. UAI Jurijs Nazarovs, Ronak R. Mehta, Vishnu Suresh Lokhande, Vikas Singh
2021	A*	`conf`	Learning Invariant Representations using Inverse Contrastive Loss. AAAI Aditya Kumar Akash, Vishnu Suresh Lokhande, Sathya N. Ravi, Vikas Singh
2021	J	`jnl`	Learning Invariant Representations using Inverse Contrastive Loss. CoRR Aditya Kumar Akash, Vishnu Suresh Lokhande, Sathya N. Ravi, Vikas Singh
2021	A*	`conf`	MobileDets: Searching for Object Detection Architectures for Mobile Accelerators. CVPR Yunyang Xiong, Hanxiao Liu, Suyog Gupta, Berkin Akin, Gabriel Bender, Yongzhe Wang, Pieter-Jan Kindermans, Mingxing Tan, Vikas Singh, Bo Chen
2021	A*	`conf`	Neural TMDlayer: Modeling Instantaneous flow of features via SDE Generators. ICCV Zihang Meng, Vikas Singh, Sathya N. Ravi
2021	J	`jnl`	Neural TMDlayer: Modeling Instantaneous flow of features via SDE Generators. CoRR Zihang Meng, Vikas Singh, Sathya N. Ravi
2021	J	`jnl`	Nyströmformer: A Nyström-Based Algorithm for Approximating Self-Attention. CoRR Yunyang Xiong, Zhanpeng Zeng, Rudrasis Chakraborty, Mingxing Tan, Glenn Fung, Yin Li, Vikas Singh
2021	A*	`conf`	Nyströmformer: A Nyström-based Algorithm for Approximating Self-Attention. AAAI Yunyang Xiong, Zhanpeng Zeng, Rudrasis Chakraborty, Mingxing Tan, Glenn Fung, Yin Li, Vikas Singh
2021	A*	`conf`	Physarum Powered Differentiable Linear Programming Layers and Applications. AAAI Zihang Meng, Sathya N. Ravi, Vikas Singh
2021	A*	`conf`	Simpler Certified Radius Maximization by Propagating Covariances. CVPR Xingjian Zhen, Rudrasis Chakraborty, Vikas Singh
2021	J	`jnl`	Simpler Certified Radius Maximization by Propagating Covariances. CoRR Xingjian Zhen, Rudrasis Chakraborty, Vikas Singh
2021	A*	`conf`	You Only Sample (Almost) Once: Linear Cost Self-Attention Via Bernoulli Sampling. ICML Zhanpeng Zeng, Yunyang Xiong, Sathya N. Ravi, Shailesh Acharya, Glenn Moo Fung, Vikas Singh
2021	J	`jnl`	You Only Sample (Almost) Once: Linear Cost Self-Attention Via Bernoulli Sampling. CoRR Zhanpeng Zeng, Yunyang Xiong, Sathya N. Ravi, Shailesh Acharya, Glenn Fung, Vikas Singh
2020	J	`jnl`	A Bayesian Approach with Type-2 Student-tMembership Function for T-S Model Identification. CoRR Vikas Singh, Homanga Bharadhwaj, Nishchal K. Verma
2020	J	`jnl`	Aerodynamic Modeling of ATTAS Aircraft Using Mamdani Fuzzy Inference Network. IEEE Trans. Aerosp. Electron. Syst. Arun K. Sharma, Dhan Jeet Singh, Vikas Singh, Nishchal K. Verma
2020	J	`jnl`	BIDEAL: A Toolbox for Bicluster Analysis - Generation, Visualization and Validation. CoRR Nishchal K. Verma, Teena Sharma, Sonal Dixit, Pooja Agrawal, Sourya Sengupta, Vikas Singh
2020	J	`jnl`	Deep Learning image segmentation for extraction of fish body measurements and prediction of body weight and carcass traits in Nile tilapia. Comput. Electron. Agric. Arthur F. A. Fernandes, Eduardo M. Turra, Érika R. de Alvarenga, Tiago L. Passafaro, Fernando B. Lopes, Gabriel F. O. Alves, Vikas Singh, Guilherme J. M. Rosa
2020	—	`conf`	FairALM: Augmented Lagrangian Method for Training Fair Models with Little Regret. ECCV (12) Vishnu Suresh Lokhande, Aditya Kumar Akash, Sathya N. Ravi, Vikas Singh
2020	J	`jnl`	FairALM: Augmented Lagrangian Method for Training Fair Models with Little Regret. CoRR Vishnu Suresh Lokhande, Aditya Kumar Akash, Sathya N. Ravi, Vikas Singh
2020	J	`jnl`	Flow-based Generative Models for Learning Manifold to Manifold Mappings. CoRR Xingjian Zhen, Rudrasis Chakraborty, Liu Yang, Vikas Singh
2020	A*	`conf`	Generating Accurate Pseudo-Labels in Semi-Supervised Learning and Avoiding Overconfident Predictions via Hermite Polynomial Activations. CVPR Vishnu Suresh Lokhande, Songwong Tasneeyapant, Abhay Venkatesh, Sathya N. Ravi, Vikas Singh
2020	J	`jnl`	Improved Adaptive Type-2 Fuzzy Filter with Exclusively Two Fuzzy Membership Function for Filtering Salt and Pepper Noise. CoRR Vikas Singh, Pooja Agrawal, Teena Sharma, Nishchal K. Verma
2020	—	`conf`	Learning Amyloid Pathology Progression from Longitudinal PIB-PET Images in Preclinical Alzheimer's Disease. ISBI Wei Hao, Nicholas M. Vogt, Zihang Meng, Seong Jae Hwang, Rebecca L. Koscik, Sterling C. Johnson, Barbara B. Bendlin, Vikas Singh
2020	J	`jnl`	MobileDets: Searching for Object Detection Architectures for Mobile Accelerators. CoRR Yunyang Xiong, Hanxiao Liu, Suyog Gupta, Berkin Akin, Gabriel Bender, Pieter-Jan Kindermans, Mingxing Tan, Vikas Singh, Bo Chen
2020	J	`jnl`	Online Graph Completion: Multivariate Signal Recovery in Computer Vision. CoRR Won Hwa Kim, Mona Jalal, Seong Jae Hwang, Sterling C. Johnson, Vikas Singh
2020	A*	`conf`	Optimizing Nondecomposable Data Dependent Regularizers via Lagrangian Reparameterization Offers Significant Performance and Efficiency Gains. AAAI Sathya N. Ravi, Abhay Venkatesh, Glenn Moo Fung, Vikas Singh
2020	J	`jnl`	Physarum Powered Differentiable Linear Programming Layers and Applications. CoRR Zihang Meng, Sathya N. Ravi, Vikas Singh
2019	J	`jnl`	A Deterministic Nonsmooth Frank Wolfe Algorithm with Coreset Guarantees. INFORMS J. Optim. Sathya N. Ravi, Maxwell D. Collins, Vikas Singh
2019	A*	`conf`	Adaptive Activation Thresholding: Dynamic Routing Type Behavior for Interpretability in Convolutional Neural Networks. ICCV Yiyou Sun, Sathya N. Ravi, Vikas Singh
2019	J	`jnl`	An Entropy-based Variable Feature Weighted Fuzzy k-Means Algorithm for High Dimensional Data. CoRR Vikas Singh, Nishchal K. Verma
2019	J	`jnl`	Associations Between Positron Emission Tomography Amyloid Pathology and Diffusion Tensor Imaging Brain Connectivity in Pre-Clinical Alzheimer's Disease. Brain Connect. Seong Jae Hwang, Nagesh Adluru, Won Hwa Kim, Sterling C. Johnson, Barbara B. Bendlin, Vikas Singh
2019	A*	`conf`	Conditional Recurrent Flow: Conditional Generation of Longitudinal Samples With Applications to Neuroimaging. ICCV Seong Jae Hwang, Zirui Tao, Vikas Singh, Won Hwa Kim
2019	A*	`conf`	DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer. ICCV Haoliang Sun, Ronak Mehta, Hao Henry Zhou, Zhichun Huang, Sterling C. Johnson, Vivek Prabhakaran, Vikas Singh
2019	J	`jnl`	DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer. CoRR Haoliang Sun, Ronak Mehta, Hao Henry Zhou, Zhichun Huang, Sterling C. Johnson, Vivek Prabhakaran, Vikas Singh
2019	A*	`conf`	Dilated Convolutional Neural Networks for Sequential Manifold-Valued Data. ICCV Rudrasis Chakraborty, Xingjian Zhen, Nicholas Vogt, Barbara B. Bendlin, Vikas Singh
2019	J	`jnl`	Dilated Convolutional Neural Networks for Sequential Manifold-valued Data. CoRR Xingjian Zhen, Rudrasis Chakraborty, Nicholas Vogt, Barbara B. Bendlin, Vikas Singh
2019	A*	`conf`	Explicitly Imposing Constraints in Deep Networks via Conditional Gradients Gives Improved Generalization and Faster Convergence. AAAI Sathya N. Ravi, Tuan Dinh, Vishnu Suresh Lokhande, Vikas Singh
2019	B	`conf`	Feature Ranking using Robust Fuzzy Score Function for Gene Expression Data. FUZZ-IEEE Vikas Singh, Teena Sharma, Nishchal K. Verma, Yan Cui
2019	J	`jnl`	Fooling Computer Vision into Inferring the Wrong Body Mass Index. CoRR Owen Levin, Zihang Meng, Vikas Singh, Xiaojin Zhu
2019	B	`conf`	Fuzzy based Pooling in Convolutional Neural Network for Image Classification. FUZZ-IEEE Teena Sharma, Vikas Singh, Siddharth Sudhakaran, Nishchal K. Verma
2019	J	`jnl`	Generating Accurate Pseudo-labels via Hermite Polynomials for SSL Confidently. CoRR Vishnu Suresh Lokhande, Sathya N. Ravi, Songwong Tasneeyapant, Abhay Venkatesh, Vikas Singh
2019	A*	`conf`	Mixed Effects Neural Networks (MeNets) With Applications to Gaze Estimation. CVPR Yunyang Xiong, Hyunwoo J. Kim, Vikas Singh
2019	—	`conf`	On Training Deep 3D CNN Models with Dependent Samples in Neuroimaging. IPMI Yunyang Xiong, Hyunwoo J. Kim, Bhargav Tangirala, Ronak Mehta, Sterling C. Johnson, Vikas Singh
2019	J	`jnl`	Optimizing Nondecomposable Data Dependent Regularizers via Lagrangian Reparameterization offers Significant Performance and Efficiency Gains. CoRR Sathya N. Ravi, Abhay Venkatesh, Glenn Moo Fung, Vikas Singh
2019	J	`jnl`	Resource Constrained Neural Network Architecture Search. CoRR Yunyang Xiong, Ronak Mehta, Vikas Singh
2019	A*	`conf`	Resource Constrained Neural Network Architecture Search: Will a Submodularity Assumption Help? ICCV Yunyang Xiong, Ronak Mehta, Vikas Singh
2019	A	`conf`	Sampling-free Uncertainty Estimation in Gated Recurrent Units with Applications to Normative Modeling in Neuroimaging. UAI Seong Jae Hwang, Ronak Mehta, Hyunwoo J. Kim, Sterling C. Johnson, Vikas Singh
2019	A*	`conf`	Scaling Recurrent Models via Orthogonal Approximations in Tensor Trains. ICCV Ronak Mehta, Rudrasis Chakraborty, Vikas Singh, Yunyang Xiong
2019	J	`jnl`	Transfer Learning for Molecular Cancer Classification Using Deep Neural Networks. IEEE ACM Trans. Comput. Biol. Bioinform. Rahul Kumar Sevakula, Vikas Singh, Nishchal K. Verma, Chandan Kumar, Yan Cui
2019	J	`jnl`	mRMR-DNN with Transfer Learning for IntelligentFault Diagnosis of Rotating Machines. CoRR Vikas Singh, Nishchal K. Verma
2018	A*	`conf`	A Biresolution Spectral Framework for Product Quantization. CVPR Lopamudra Mukherjee, Sathya N. Ravi, Jiming Peng, Vikas Singh
2018	—	`conf`	A Natural Language Interface for Dissemination of Reproducible Biomedical Data Science. MICCAI (4) Rogers Jeffrey Leo John, Jignesh M. Patel, Andrew L. Alexander, Vikas Singh, Nagesh Adluru
2018	A*	`conf`	A Statistical Recurrent Model on the Manifold of Symmetric Positive Definite Matrices. NeurIPS Rudrasis Chakraborty, Chun-Hao Yang, Xingjian Zhen, Monami Banerjee, Derek B. Archer, David E. Vaillancourt, Vikas Singh, Baba C. Vemuri
2018	J	`jnl`	Adaptive Type-2 Fuzzy Approach for Filtering Salt and Pepper Noise in Grayscale Images. IEEE Trans. Fuzzy Syst. Vikas Singh, Raghav Dev, Narendra Kumar Dhar, Pooja Agrawal, Nishchal K. Verma
2018	J	`jnl`	Building Bayesian Neural Networks with Blocks: On Structure, Interpretability and Uncertainty. CoRR Hao Henry Zhou, Yunyang Xiong, Vikas Singh
2018	J	`jnl`	Conditional Recurrent Flow: Conditional Generation of Longitudinal Samples with Applications to Neuroimaging. CoRR Seong Jae Hwang, Zirui Tao, Won Hwa Kim, Vikas Singh
2018	J	`jnl`	Constrained Deep Learning using Conditional Gradient and Applications in Computer Vision. CoRR Sathya N. Ravi, Tuan Dinh, Vishnu Sai Rao Lokhande, Vikas Singh
2018	—	`conf`	Efficient Relative Attribute Learning Using Graph Neural Networks. ECCV (14) Zihang Meng, Nagesh Adluru, Hyunwoo J. Kim, Glenn Fung, Vikas Singh
2018	—	`conf`	Fusion of Low-level Features with Stacked Autoencoder for Condition based Monitoring of Machines. ICPHM Seetaram Maurya, Vikas Singh, Sonal Dixit, Nishchal K. Verma, Al Salour, Jie Liu
2018	B	`conf`	Optimal Feature Selection using Fuzzy Combination of Feature Subset for Transcriptome Data. FUZZ-IEEE Vikas Singh, Harsh Vardhan, Nishchal K. Verma, Yan Cui
2018	—	`conf`	Prognosis of Diesel Engine (MBT) Using Feature Extraction Techniques: A Comparative Study. ICPHM Gaurav Saraswat, Vikas Singh, Nishchal K. Verma, Al Salour, Jie Liu
2018	J	`jnl`	Robust Blind Deconvolution via Mirror Descent. CoRR Sathya N. Ravi, Ronak Mehta, Vikas Singh
2018	J	`jnl`	Sampling-free Uncertainty Estimation in Gated Recurrent Units with Exponential Families. CoRR Seong Jae Hwang, Ronak Mehta, Vikas Singh
2018	J	`jnl`	Statistical Recurrent Models on Manifold valued Data. CoRR Rudrasis Chakraborty, Chun-Hao Yang, Xingjian Zhen, Monami Banerjee, Derek B. Archer, David E. Vaillancourt, Vikas Singh, Baba C. Vemuri
2018	A*	`conf`	Tensorize, Factorize and Regularize: Robust Visual Relationship Learning. CVPR Seong Jae Hwang, Sathya N. Ravi, Zirui Tao, Hyunwoo J. Kim, Maxwell D. Collins, Vikas Singh
2017	J	`jnl`	A Deterministic Nonsmooth Frank Wolfe Algorithm with Coreset Guarantees. CoRR Sathya N. Ravi, Maxwell D. Collins, Vikas Singh
2017	A*	`conf`	A Geometric Framework for Statistical Analysis of Trajectories with Distinct Temporal Spans. ICCV Rudrasis Chakraborty, Vikas Singh, Nagesh Adluru, Baba C. Vemuri
2017	J	`jnl`	Accelerating Permutation Testing in Voxel-wise Analysis through Subspace Tracking: A new plugin for SnPM. CoRR Felipe Gutierrez-Barragan, Vamsi K. Ithapu, Chris Hinrichs, Camille Maumet, Sterling C. Johnson, Thomas E. Nichols, Vikas Singh
2017	J	`jnl`	Accelerating permutation testing in voxel-wise analysis through subspace tracking: A new plugin for SnPM. NeuroImage Felipe Gutierrez-Barragan, Vamsi K. Ithapu, Chris Hinrichs, Camille Maumet, Sterling C. Johnson, Thomas E. Nichols, Vikas Singh
2017	A*	`conf`	Filter Flow Made Practical: Massively Parallel and Lock-Free. CVPR Sathya N. Ravi, Yunyang Xiong, Lopamudra Mukherjee, Vikas Singh
2017	J	`jnl`	Finding Differentially Covarying Needles in a Temporally Evolving Haystack: A Scan Statistics Perspective. CoRR Ronak Mehta, Hyunwoo J. Kim, Shulei Wang, Sterling C. Johnson, Ming Yuan, Vikas Singh
2017	—	`conf`	Modeling Cognitive Trends in Preclinical Alzheimer's Disease (AD) via Distributions over Permutations. MICCAI (3) Gregory Plumb, Lindsay Clark, Sterling C. Johnson, Vikas Singh
2017	J	`jnl`	On architectural choices in deep learning: From network structure to gradient convergence and parameter estimation. CoRR Vamsi K. Ithapu, Sathya N. Ravi, Vikas Singh
2017	A*	`conf`	Online Graph Completion: Multivariate Signal Recovery in Computer Vision. CVPR Won Hwa Kim, Mona Jalal, Seong Jae Hwang, Sterling C. Johnson, Vikas Singh
2017	J	`jnl`	Proceedings of the 16th Annual UT-KBRIN Bioinformatics Summit 2016: bioinformatics: Burns, TN, USA. April 21-23, 2017. BMC Bioinform. Eric C. Rouchka, Julia H. Chariker, David Tieri, Juw Won Park, Shreedharkumar D. Rajurkar, Vikas Singh, Nishchal K. Verma, Yan Cui, Mark L. Farman, Bradford Condon, Neil Moore, Jerzy W. Jaromczyk, Jolanta Jaromczyk, Daniel R. Harris, Patrick Calie, Eun Kyong Shin, Robert L. Davis, Arash Shaban-Nejad, Joshua M. Mitchell, Robert M. Flight, Qing Jun Wang, Richard M. Higashi, Teresa W.-M. Fan, Andrew N. Lane, Hunter N. B. Moseley, Liangqun Lu, Bernie J. Daigle, Xi Chen, Andrey Smelter, Li Chen, Bailey K. Phan, Nathaniel J. Serpico, Ethan G. Toney, Caroline E. Melton, Jennifer R. Mandel, Bernie J. Daigle Jr., Hao Chen, Kazi I. Zaman, Ramin Homayouni, Patrick J. Trainor, Samantha M. Carlisle, Andrew P. DeFilippis, Shesh N. Rai
2017	—	`ch.`	Randomized Deep Learning Methods for Clinical Trial Enrichment and Design in Alzheimer's Disease. Deep Learning for Medical Image Analysis Vamsi K. Ithapu, Vikas Singh, Sterling C. Johnson
2017	A*	`conf`	Riemannian Nonlinear Mixed Effects Models: Analyzing Longitudinal Deformations in Neuroimaging. CVPR Hyunwoo J. Kim, Nagesh Adluru, Heemanshu Suri, Baba C. Vemuri, Sterling C. Johnson, Vikas Singh
2017	—	`conf`	Riemannian Variance Filtering: An Independent Filtering Scheme for Statistical Tests on Manifold-Valued Data. CVPR Workshops Ligang Zheng, Hyunwoo J. Kim, Nagesh Adluru, Michael A. Newton, Vikas Singh
2017	A*	`conf`	The Incremental Multiresolution Matrix Factorization Algorithm. CVPR Vamsi K. Ithapu, Risi Kondor, Sterling C. Johnson, Vikas Singh
2017	J	`jnl`	The Incremental Multiresolution Matrix Factorization Algorithm. CoRR Vamsi K. Ithapu, Risi Kondor, Sterling C. Johnson, Vikas Singh
2017	A*	`conf`	When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, $\ell_2$-consistency and Neuroscience Applications. ICML Hao Henry Zhou, Yilin Zhang, Vamsi K. Ithapu, Sterling C. Johnson, Grace Wahba, Vikas Singh
2016	—	`conf`	27.5 A 4GS/s time-interleaved RF ADC in 65nm CMOS with 4GHz input bandwidth. ISSCC Matt Straayer, Jim Bales, Dwight Birdsall, Denis C. Daly, Phillip Elliott, Bill Foley, Roy Mason, Vikas Singh, Xuejin Wang
2016	—	`conf`	Abundant Inverse Regression Using Sufficient Reduction and Its Applications. ECCV (3) Hyunwoo J. Kim, Brandon M. Smith, Nagesh Adluru, Charles R. Dyer, Sterling C. Johnson, Vikas Singh
2016	—	`conf`	Adaptive Signal Recovery on Graphs via Harmonic Analysis for Experimental Design in Neuroimaging. ECCV (6) Won Hwa Kim, Seong Jae Hwang, Nagesh Adluru, Sterling C. Johnson, Vikas Singh
2016	—	`conf`	Comparative analysis of Gaussian mixture model, logistic regression and random forest for big data classification using map reduce. ICIIS Vikas Singh, Rahul K. Gupta, Rahul Kumar Sevakula, Nishchal K. Verma
2016	—	`conf`	Controlling UAVs with Sensor Input Spoofing Attacks. WOOT Drew Davidson, Hao Wu, Robert Jellinek, Vikas Singh, Thomas Ristenpart
2016	A*	`conf`	Coupled Harmonic Bases for Longitudinal Characterization of Brain Networks. CVPR Seong Jae Hwang, Nagesh Adluru, Maxwell D. Collins, Sathya N. Ravi, Barbara B. Bendlin, Sterling C. Johnson, Vikas Singh
2016	A*	`conf`	Experimental Design on a Budget for Sparse Linear Models and Applications. ICML Sathya N. Ravi, Vamsi K. Ithapu, Sterling C. Johnson, Vikas Singh
2016	—	`conf`	Hypothesis Testing in Unsupervised Domain Adaptation with Applications in Alzheimer's Disease. NIPS Hao Henry Zhou, Vamsi K. Ithapu, Sathya Narayanan Ravi, Vikas Singh, Grace Wahba, Sterling C. Johnson
2016	J	`jnl`	Integrated library management systems: Comparative analysis of Koha, Libsys, NewGenLib, and Virtua. Electron. Libr. Margam Madhusudhan, Vikas Singh
2016	A*	`conf`	Latent Variable Graphical Model Selection Using Harmonic Analysis: Applications to the Human Connectome Project (HCP). CVPR Won Hwa Kim, Hyunwoo J. Kim, Nagesh Adluru, Vikas Singh
2016	—	`conf`	Layerwise feature selection in Stacked Sparse Auto-Encoder for tumor type prediction. BIBM Vikas Singh, Nikhil Baranwal, Rahul Kumar Sevakula, Nishchal K. Verma, Yan Cui
2016	—	`conf`	Network Flow Formulations for Learning Binary Hashing. ECCV (5) Lopamudra Mukherjee, Jiming Peng, Trevor Sigmund, Vikas Singh
2016	—	`conf`	On the interplay of network structure and gradient convergence in deep learning. Allerton Vamsi K. Ithapu, Sathya N. Ravi, Vikas Singh
2015	A*	`conf`	A Projection Free Method for Generalized Eigenvalue Problem with a Nonsmooth Regularizer. ICCV Seong Jae Hwang, Maxwell D. Collins, Sathya N. Ravi, Vamsi K. Ithapu, Nagesh Adluru, Sterling C. Johnson, Vikas Singh
2015	A*	`conf`	An NMF Perspective on Binary Hashing. ICCV Lopamudra Mukherjee, Sathya N. Ravi, Vamsi K. Ithapu, Tyler Holmes, Vikas Singh
2015	J	`jnl`	Convergence of gradient based pre-training in Denoising autoencoders. CoRR Vamsi K. Ithapu, Sathya N. Ravi, Vikas Singh
2015	A*	`conf`	Gaze-enabled egocentric video summarization via constrained submodular maximization. CVPR Jia Xu, Lopamudra Mukherjee, Yin Li, Jamieson Warner, James M. Rehg, Vikas Singh
2015	A*	`conf`	Interpolation on the Manifold of K Component GMMs. ICCV Hyunwoo J. Kim, Nagesh Adluru, Monami Banerjee, Baba C. Vemuri, Vikas Singh
2015	A*	`conf`	Manifold-valued Dirichlet Processes. ICML Hyunwoo J. Kim, Jia Xu, Baba C. Vemuri, Vikas Singh
2015	J	`jnl`	Multi-resolution statistical analysis of brain connectivity graphs in preclinical Alzheimer's disease. NeuroImage Won Hwa Kim, Nagesh Adluru, Moo K. Chung, Ozioma C. Okonkwo, Sterling C. Johnson, Barbara B. Bendlin, Vikas Singh
2015	—	`conf`	Multi-resolution statistical analysis on graph structured data in neuroimaging. ISBI Won Hwa Kim, Vikas Singh, Moo K. Chung, Nagesh Adluru, Barbara B. Bendlin, Sterling C. Johnson
2015	A*	`conf`	On Statistical Analysis of Neuroimages with Imperfect Registration. ICCV Won Hwa Kim, Sathya N. Ravi, Sterling C. Johnson, Ozioma C. Okonkwo, Vikas Singh
2015	J	`jnl`	On the interplay of network structure and gradient convergence in deep learning. CoRR Vamsi K. Ithapu, Sathya N. Ravi, Vikas Singh
2015	J	`jnl`	SnFFT: a Julia toolkit for Fourier analysis of functions over permutations. J. Mach. Learn. Res. Gregory Plumb, Deepti Pachauri, Risi Kondor, Vikas Singh
2015	J	`jnl`	Speeding up Permutation Testing in Neuroimaging. CoRR Chris Hinrichs, Vamsi K. Ithapu, Qinyuan Sun, Sterling C. Johnson, Vikas Singh
2015	A*	`conf`	Statistical inference models for image datasets with systematic variations. CVPR Won Hwa Kim, Barbara B. Bendlin, Moo K. Chung, Sterling C. Johnson, Vikas Singh
2014	—	`conf`	Canonical Correlation Analysis on Riemannian Manifolds and Its Applications. ECCV (2) Hyunwoo J. Kim, Nagesh Adluru, Barbara B. Bendlin, Sterling C. Johnson, Baba C. Vemuri, Vikas Singh
2014	J	`jnl`	Multi-resolutional shape features via non-Euclidean wavelets: Applications to statistical analysis of cortical thickness. NeuroImage Won Hwa Kim, Vikas Singh, Moo K. Chung, Chris Hinrichs, Deepti Pachauri, Ozioma C. Okonkwo, Sterling C. Johnson
2014	A*	`conf`	Multivariate General Linear Models (MGLM) on Riemannian Manifolds with Applications to Statistical Analysis of Diffusion Weighted Images. CVPR Hyunwoo J. Kim, Barbara B. Bendlin, Nagesh Adluru, Maxwell D. Collins, Moo K. Chung, Sterling C. Johnson, Richard J. Davidson, Vikas Singh
2014	—	`conf`	Permutation Diffusion Maps (PDM) with Application to the Image Association Problem in Computer Vision. NIPS Deepti Pachauri, Risi Kondor, Gautam Sargur, Vikas Singh
2014	—	`conf`	Randomized Denoising Autoencoders for Smaller and Efficient Imaging Based AD Clinical Trials. MICCAI (2) Vamsi K. Ithapu, Vikas Singh, Ozioma C. Okonkwo, Sterling C. Johnson
2014	—	`conf`	Spectral Clustering with a Convex Regularizer on Millions of Images. ECCV (3) Maxwell D. Collins, Ji Liu, Jia Xu, Lopamudra Mukherjee, Vikas Singh
2013	—	`conf`	A 45nm CMOS near-field communication radio with 0.15A/m RX sensitivity and 4mA current consumption in card emulation mode. ISSCC Yogesh Darwhekar, Evgeniy Braginskiy, Koby Levy, Abhishek Agrawal, Vikas Singh, Ronen Issac, Ofer Blonskey, Ofer Adler, Yoav Benkuzari, Matan Ben-Shachar, Srikanth Manian, Apu Sivadas, Subhashish Mukherjee, Gangadhar Burra, Nir Tal, Yariv Shlivinski, Guy Bitton, Sreekiran Samala
2013	J	`jnl`	Characterizing Functional Connectivity Differences in Aging Adults using Machine Learning on Resting State fMRI Data. Frontiers Comput. Neurosci. Svyatoslav Vergun, Alok Deshpande, Timothy B. Meier, Jie Song, Dana Tudorascu, Veena A. Nair, Vikas Singh, Bharat B. Biswal, Mary Elizabeth Meyerand, Rasmus M. Birn, Vivek Prabhakaran
2013	A*	`conf`	GOSUS: Grassmannian Online Subspace Updates with Structured-Sparsity. ICCV Jia Xu, Vamsi K. Ithapu, Lopamudra Mukherjee, James M. Rehg, Vikas Singh
2013	A*	`conf`	Incorporating User Interaction and Topological Constraints within Contour Completion via Discrete Calculus. CVPR Jia Xu, Maxwell D. Collins, Vikas Singh
2013	A*	`conf`	Multi-resolution Shape Analysis via Non-Euclidean Wavelets: Applications to Mesh Segmentation and Surface Alignment Problems. CVPR Won Hwa Kim, Moo K. Chung, Vikas Singh
2013	—	`conf`	Multi-resolutional Brain Network Filtering and Analysis via Wavelets on Non-Euclidean Space. MICCAI (3) Won Hwa Kim, Nagesh Adluru, Moo K. Chung, Sylvia Charchut, Johnson J. GadElkarim, Lori L. Altshuler, Teena Moody, Anand R. Kumar, Vikas Singh, Alex D. Leow
2013	—	`conf`	Solving the multi-way matching problem by permutation synchronization. NIPS Deepti Pachauri, Risi Kondor, Vikas Singh
2013	—	`conf`	Speeding up Permutation Testing in Neuroimaging. NIPS Chris Hinrichs, Vamsi K. Ithapu, Qinyuan Sun, Sterling C. Johnson, Vikas Singh
2012	J	`jnl`	A 16 MHz BW 75 dB DR CT ΔΣ ADC Compensated for More Than One Cycle Excess Loop Delay. IEEE J. Solid State Circuits Vikas Singh, Nagendra Krishnapura, Shanthi Pavan, Baradwaj Vigraham, Debasish Behera, Nimit Nigania
2012	—	`conf`	Adaptive cuts for extracting specific white matter tracts. ISBI Nagesh Adluru, Vikas Singh, Andrew L. Alexander
2012	J	`jnl`	An efficient algorithm for maximal margin clustering. J. Glob. Optim. Jiming Peng, Lopamudra Mukherjee, Vikas Singh, Dale Schuurmans, Linli Xu
2012	—	`conf`	Analyzing the Subspace Structure of Related Images: Concurrent Segmentation of Image Sets. ECCV (4) Lopamudra Mukherjee, Vikas Singh, Jia Xu, Maxwell D. Collins
2012	A*	`conf`	Incorporating Domain Knowledge in Matching Problems via Harmonic Analysis. ICML Deepti Pachauri, Maxwell D. Collins, Vikas Singh
2012	J	`jnl`	MDABC: Motif Discovery Using Artificial Bee Colony Algorithm. J. Inf. Technol. Res. Vikas Singh, Deepak Singh, Ritu Tiwari, Anupam Shukla
2012	—	`conf`	Q-MKL: Matrix-induced Regularization in Multi-Kernel Learning with Applications to Neuroimaging. NIPS Chris Hinrichs, Vikas Singh, Jiming Peng, Sterling C. Johnson
2012	A*	`conf`	Random walks based multi-image segmentation: Quasiconvexity results and GPU-based solutions. CVPR Maxwell D. Collins, Jia Xu, Leo J. Grady, Vikas Singh
2012	—	`conf`	View variations effect in gait recognition and performance improvement using fusion. RAIT Sanjeev Kumar Sharma, Anupam Shukla, Ritu Tiwari, Vikas Singh
2012	—	`conf`	Wavelet based multi-scale shape features on arbitrary surfaces for cortical thickness discrimination. NIPS Won Hwa Kim, Deepti Pachauri, Charles R. Hatt, Moo K. Chung, Sterling C. Johnson, Vikas Singh
2011	—	`conf`	A 16MHz BW 75dB DR CT ΔΣ ADC compensated for more than one cycle excess loop delay. CICC Vikas Singh, Nagendra Krishnapura, Shanthi Pavan, Baradwaj Vigraham, Nimit Nigania, Debasish Behera
2011	J	`jnl`	A cokriging based approach to reconstruct air pollution maps, processing measurement station concentrations and deterministic model simulations. Environ. Model. Softw. Vikas Singh, Claudio Carnevale, Giovanna Finzi, Enrico Pisoni, Marialuisa Volta
2011	—	`conf`	Discrete optimization problem solving with three variants of hybrid binary particle swarm optimization. BADS@ICAC Vikas Singh, Deepak Singh, Ritu Tiwari, Anupam Shukla
2011	—	`conf`	Frontal view gait based recognition using PCA. ACAI Sanjeev Kumar Sharma, Ritu Tiwari, Anupam Shukla, Vikas Singh
2011	—	`conf`	Fusion of Gait and Facial Feature Using PCA. FGIT-SIP Sanjeev Kumar Sharma, Ritu Tiwari, Anupam Shukla, Vikas Singh
2011	—	`conf`	MKL-Based Sample Enrichment and Customized Outcomes Enable Smaller AD Clinical Trials. MLINI Chris Hinrichs, N. Maritza Dowling, Sterling C. Johnson, Vikas Singh
2011	J	`jnl`	Predictive markers for AD in a multi-modality framework: An analysis of MCI progression in the ADNI population. NeuroImage Chris Hinrichs, Vikas Singh, Guofan Xu, Sterling C. Johnson
2011	A*	`conf`	Scale invariant cosegmentation for image groups. CVPR Lopamudra Mukherjee, Vikas Singh, Jiming Peng
2011	J	`jnl`	Topology-Based Kernels With Application to Inference Problems in Alzheimer's Disease. IEEE Trans. Medical Imaging Deepti Pachauri, Chris Hinrichs, Moo K. Chung, Sterling C. Johnson, Vikas Singh
2010	J	`jnl`	A Survey of Payment Card Industry Data Security Standard. IEEE Commun. Surv. Tutorials Jing Liu, Yang Xiao, Hui Chen, Suat Özdemir, Srinivas Dodle, Vikas Singh
2010	—	`conf`	Application of improved Apriori in University Library. ICWET S. Shirgaonkar, T. Rajkumar, Vikas Singh
2010	J	`jnl`	Compensating for Quantizer Delay in Excess of One Clock Cycle in Continuous-Time DeltaSigma Modulators. IEEE Trans. Circuits Syst. II Express Briefs Vikas Singh, Nagendra Krishnapura, Shanthi Pavan
2010	J	`jnl`	Ensemble clustering using semidefinite programming with applications. Mach. Learn. Vikas Singh, Lopamudra Mukherjee, Jiming Peng, Jinhui Xu
2010	—	`conf`	Epitome driven 3-D Diffusion Tensor image segmentation: on extracting specific structures. NIPS Kamiya Motwani, Nagesh Adluru, Chris Hinrichs, Andrew L. Alexander, Vikas Singh
2010	A*	`conf`	Learning kernels for variants of normalized cuts: Convex relaxations and applications. CVPR Lopamudra Mukherjee, Vikas Singh, Jiming Peng, Chris Hinrichs
2010	—	`conf`	Network Connectivity via Inference over Curvature-Regularizing Line Graphs. ACCV (1) Maxwell D. Collins, Vikas Singh, Andrew L. Alexander
2009	A*	`conf`	An efficient algorithm for Co-segmentation. ICCV Dorit S. Hochbaum, Vikas Singh
2009	J	`jnl`	Enhanced Spectrum Utilization for Existing Cellular Technologies Based on Genetic Algorithm in Preview of Cognitive Radio. Int. J. Commun. Netw. Syst. Sci. K. Sridhara, Aritra Nayak, Vikas Singh, P. K. Dalela
2009	J	`jnl`	Generalized median graphs and applications. J. Comb. Optim. Lopamudra Mukherjee, Vikas Singh, Jiming Peng, Jinhui Xu, Michael J. Zeitz, Ronald Berezney
2009	A*	`conf`	Half-integrality based algorithms for cosegmentation of images. CVPR Lopamudra Mukherjee, Vikas Singh, Charles R. Dyer
2009	A*	`conf`	Label set perturbation for MRF based neuroimaging segmentation. ICCV Dylan Hower, Vikas Singh, Sterling C. Johnson
2009	—	`conf`	MKL for Robust Multi-modality AD Classification. MICCAI (1) Chris Hinrichs, Vikas Singh, Guofan Xu, Sterling C. Johnson
2009	J	`jnl`	Real-time endovascular guidewire position simulation using shortest path algorithms. Int. J. Comput. Assist. Radiol. Surg. Sebastian Schafer, Vikas Singh, Peter B. Noël, Alan M. Walczak, Jinhui Xu, Kenneth R. Hoffmann
2009	J	`jnl`	Spatially augmented LPboosting for AD classification with evaluations on the ADNI dataset. NeuroImage Chris Hinrichs, Vikas Singh, Lopamudra Mukherjee, Guofan Xu, Moo K. Chung, Sterling C. Johnson
2009	—	`conf`	Topological Characterization of Signal in Brain Images Using Min-Max Diagrams. MICCAI (1) Moo K. Chung, Vikas Singh, Peter T. Kim, Kim M. Dalton, Richard J. Davidson
2008	—	`conf`	Algorithms for Real Time Detection and Depth Calculation of Obstacles by Autonomous Robots. RAM Vikas Singh, Anvaya Rai, N. Hemanth, D. A. Rohit, Asim Mukherjee
2008	—	`conf`	Cortical Surface Thickness as a Classifier: Boosting for Autism Classification. MICCAI (1) Vikas Singh, Lopamudra Mukherjee, Moo K. Chung
2008	J	`jnl`	Limited view CT reconstruction and segmentation via constrained metric labeling. Comput. Vis. Image Underst. Vikas Singh, Lopamudra Mukherjee, Petru M. Dinu, Jinhui Xu, Kenneth R. Hoffmann
2007	J	`jnl`	Brachytherapy Seed Localization Using Geometric and Linear Programming Techniques. IEEE Trans. Medical Imaging Vikas Singh, Lopamudra Mukherjee, Jinhui Xu, Kenneth R. Hoffmann, Petru M. Dinu, M. Podgorsak
2007	—	`conf`	Ensemble Clustering using Semidefinite Programming. NIPS Vikas Singh, Lopamudra Mukherjee, Jiming Peng, Jinhui Xu
2007	A*	`conf`	Generalized Median Graphs: Theory and Applications. ICCV Lopamudra Mukherjee, Vikas Singh, Jiming Peng, Jinhui Xu, Michael J. Zeitz, Ronald Berezney
2007	A*	`conf`	Limited view CT reconstruction via constrained metric labeling. ICCV Vikas Singh, Petru M. Dinu, Lopamudra Mukherjee, Jinhui Xu, Kenneth R. Hoffmann
2007	—	`conf`	Planning image-guided endovascular interventions: guidewire simulation using shortest path algorithms. Image-Guided Procedures Sebastian Schafer, Vikas Singh, Kenneth R. Hoffmann, Peter B. Noël, Jinhui Xu
2006	B	`conf`	A linear programming based algorithm for determining corresponding point tuples in multiple vascular images. Image Processing Vikas Singh, Jinhui Xu, Kenneth R. Hoffmann, Peter B. Noël, Alan M. Walczak
2006	—	`conf`	On Mobility Analysis of Functional Sites from Time Lapse Microscopic Image Sequences of Living Cell Nucleus. MICCAI (2) Lopamudra Mukherjee, Vikas Singh, Jinhui Xu, Kishore S. Malyavantham, Ronald Berezney
2006	Misc	`conf`	Solving the brachytherapy seed localization problem using geometric and linear programming techniques. SAC Vikas Singh, Lopamudra Mukherjee, Jinhui Xu, Kenneth R. Hoffmann
2005	B	`conf`	A new algorithm for determining 3D biplane imaging geometry: theory and implementation. Image Processing Vikas Singh, Jinhui Xu, Kenneth R. Hoffmann, Guang Xu, Zhenming Chen, Anant Gopal
2005	J	`jnl`	Efficient Algorithms for Determining 3-D Bi-Plane Imaging Geometry. J. Comb. Optim. Jinhui Xu, Guang Xu, Zhenming Chen, Vikas Singh, Kenneth R. Hoffmann
2005	J	`jnl`	Efficient Job Scheduling Algorithms with Multi-Type Contentions. J. Comb. Optim. Zhenming Chen, Vikas Singh, Jinhui Xu
2005	—	`conf`	Efficient geometric techniques for reconstructing 3D vessel trees from biplane image. SCG Vikas Singh, Lopamudra Mukherjee, Jinhui Xu, Kenneth R. Hoffmann, Guang Xu, Zhenming Chen
2004	B	`conf`	Efficient Job Scheduling Algorithms with Multi-type Contentions. ISAAC Zhenming Chen, Vikas Singh, Jinhui Xu
2004	—	`conf`	Efficient techniques for background estimation and vessel detection in coronary images. CARS Vikas Singh, Kenneth R. Hoffmann, Jinhui Xu
2004	—	`conf`	Interactive Volume Manipulation with Selective Rendering for Improved Visualization. VolVis Vikas Singh, Deborah Silver
2003	—	`conf`	Real-Time Volume Manipulation. VG Vikas Singh, Deborah Silver, Nicu D. Cornea
2003	—	`conf`	Spatial Transfer Functions-A Unified Approach to Specifying Deformation in Volume Modeling and Animation. VG Min Chen, Deborah Silver, Andrew S. Winter, Vikas Singh, Nicu D. Cornea