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ORCIDPramod K. Varshney
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- affiliation: Syracuse University, USA
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2020 – today
- 2023
[j275]Chen Quan
, Nandan Sriranga, Haodong Yang, Yunghsiang S. Han, Baocheng Geng, Pramod K. Varshney:
Efficient Ordered-Transmission Based Distributed Detection Under Data Falsification Attacks. IEEE Signal Process. Lett. 30: 145-149 (2023)- [i105]Baocheng Geng, Pramod K. Varshney:
Human-Machine Collaboration for Smart Decision Making: Current Trends and Future Opportunities. CoRR abs/2301.07766 (2023) - [i104]Nandan Sriranga, Baocheng Geng, Pramod K. Varshney:
Sequential Processing of Observations in Human Decision-Making Systems. CoRR abs/2301.07767 (2023) - 2022
- [j274]Chengxi Li, Gang Li, Pramod K. Varshney:
Distributed detection of sparse signals with censoring sensors in clustered sensor networks. Inf. Fusion 83-84: 1-18 (2022) - [j273]Chengxi Li, Gang Li, Pramod K. Varshney:
Decentralized Federated Learning via Mutual Knowledge Transfer. IEEE Internet Things J. 9(2): 1136-1147 (2022) - [j272]Chengxi Li, Gang Li, Pramod K. Varshney:
Federated Learning With Soft Clustering. IEEE Internet Things J. 9(10): 7773-7782 (2022) - [j271]Chengxi Li, Gang Li, Pramod K. Varshney:
Robust Federated Opportunistic Learning in the Presence of Label Quality Disparity. IEEE Internet Things J. 9(13): 10978-10987 (2022) - [j270]Victor Wattin Håkansson, Naveen K. D. Venkategowda, Stefan Werner, Pramod K. Varshney:
Optimal Scheduling of Multiple Spatiotemporally Dependent Observations for Remote Estimation Using Age of Information. IEEE Internet Things J. 9(20): 20308-20321 (2022) - [j269]Ruiying Lu, Bo Chen, Jianqiao Sun, Wenchao Chen, Penghui Wang, Yuanwei Chen, Hongwei Liu, Pramod K. Varshney:
Heterogeneity-Aware Recurrent Neural Network for Hyperspectral and Multispectral Image Fusion. IEEE J. Sel. Top. Signal Process. 16(4): 649-665 (2022) - [j268]Baocheng Geng, Xiancheng Cheng, Swastik Brahma, David Kellen, Pramod K. Varshney:
Collaborative Human Decision Making With Heterogeneous Agents. IEEE Trans. Comput. Soc. Syst. 9(2): 469-479 (2022) - [j267]Chen Quan, Baocheng Geng, Yunghsiang S. Han, Pramod K. Varshney:
Enhanced Audit Bit Based Distributed Bayesian Detection in the Presence of Strategic Attacks. IEEE Trans. Signal Inf. Process. over Networks 8: 49-62 (2022) - [j266]Ye Yuan, Wei Yi, Pramod K. Varshney:
Exponential Mixture Density Based Approximation to Posterior Cramr-Rao Lower Bound for Distributed Target Tracking. IEEE Trans. Signal Process. 70: 862-877 (2022) - [j265]Anthony Trezza, Donald J. Bucci, Pramod K. Varshney:
Multi-Sensor Joint Adaptive Birth Sampler for Labeled Random Finite Set Tracking. IEEE Trans. Signal Process. 70: 1010-1025 (2022) - [j264]Qunwei Li, Bhavya Kailkhura, Ryan A. Goldhahn, Priyadip Ray, Pramod K. Varshney:
Robust Decentralized Learning Using ADMM With Unreliable Agents. IEEE Trans. Signal Process. 70: 2743-2757 (2022) - [j263]Jun Sun, Wei Yi, Pramod K. Varshney, Lingjiang Kong:
Resource Scheduling for Multi-Target Tracking in Multi-Radar Systems With Imperfect Detection. IEEE Trans. Signal Process. 70: 3878-3893 (2022) - [j262]Ailiya, Wei Yi, Pramod K. Varshney:
Adaptation of Frequency Hopping Interval for Radar Anti-Jamming Based on Reinforcement Learning. IEEE Trans. Veh. Technol. 71(12): 12434-12449 (2022) - [c259]Nandan Sriranga, Anthony Trezza, Saikiran Bulusu, Donald J. Bucci, Pramod K. Varshney:
Online Identification of Recurring Changepoints. IEEECONF 2022: 426-430 - [c258]Chen Quan, Yunghsiang S. Han, Baocheng Geng, Pramod K. Varshney:
Reputation and Audit Bit Based Distributed Detection in the Presence of Byzantines. IEEECONF 2022: 548-552 - [c257]Baocheng Geng, Chen Quan, Tianyun Zhang, Makan Fardad, Pramod K. Varshney:
Loss Attitude Aware Energy Management for Signal Detection. IEEECONF 2022: 824-828 - [c256]Geethu Joseph, Pramod K. Varshney:
State Estimation of Linear Systems With Sparse Inputs and Markov-Modulated Missing Outputs. EUSIPCO 2022: 837-841 - [c255]Wael A. Hashlamoun, Swastik Brahma, Pramod K. Varshney:
Distributed Detection with Multiple Sensors in the Presence of Sybil Attacks. GLOBECOM 2022: 2770-2775 - [c254]Baocheng Geng, Qunwei Li, Pramod K. Varshney:
Human Decision Making with Bounded Rationality. ICASSP 2022: 5493-5497 - [c253]Pranay Sharma, Rohan Panda, Gauri Joshi, Pramod K. Varshney:
Federated Minimax Optimization: Improved Convergence Analyses and Algorithms. ICML 2022: 19683-19730 - [i103]Geethu Joseph, Mustafa Cenk Gursoy, Pramod K. Varshney:
Monitoring and Anomaly Detection Actor-Critic Based Controlled Sensing. CoRR abs/2201.00879 (2022) - [i102]Pranay Sharma, Rohan Panda, Gauri Joshi, Pramod K. Varshney:
Federated Minimax Optimization: Improved Convergence Analyses and Algorithms. CoRR abs/2203.04850 (2022) - [i101]Chen Quan, Yunghsiang S. Han, Baocheng Geng, Pramod K. Varshney:
Reputation and Audit Bit Based Distributed Detection in the Presence of Byzantine. CoRR abs/2204.07212 (2022) - 2021
- [j261]Domenico Ciuonzo, Pierluigi Salvo Rossi, Pramod K. Varshney:
Distributed Detection in Wireless Sensor Networks Under Multiplicative Fading via Generalized Score Tests. IEEE Internet Things J. 8(11): 9059-9071 (2021) - [j260]Baocheng Geng, Qunwei Li, Pramod K. Varshney:
Utility-Theory-Based Optimal Resource Consumption for Inference in IoT Systems. IEEE Internet Things J. 8(15): 12279-12288 (2021) - [j259]Chengxi Li, Gang Li, Pramod K. Varshney:
Communication-Efficient Federated Learning Based on Compressed Sensing. IEEE Internet Things J. 8(20): 15531-15541 (2021) - [j258]Geethu Joseph, Buddhika Nettasinghe, Vikram Krishnamurthy, Pramod K. Varshney:
Controllability of Network Opinion in Erdös-Rényi Graphs Using Sparse Control Inputs. SIAM J. Control. Optim. 59(3): 2321-2345 (2021) - [j257]Qunwei Li, Bhavya Kailkhura, Rushil Anirudh, Jize Zhang, Yi Zhou, Yingbin Liang, Thomas Yong-Jin Han, Pramod K. Varshney:
MR-GAN: Manifold Regularized Generative Adversarial Networks for Scientific Data. SIAM J. Math. Data Sci. 3(4): 1197-1222 (2021) - [j256]Xiancheng Cheng, Baocheng Geng, Prashant Khanduri, Baixiao Chen, Pramod K. Varshney:
Joint Collaboration and Compression Design for Random Signal Detection in Wireless Sensor Networks. IEEE Signal Process. Lett. 28: 1630-1634 (2021) - [j255]Saikiran Bulusu, Prashant Khanduri, Swatantra Kafle, Pranay Sharma, Pramod K. Varshney:
Byzantine Resilient Non-Convex SCSG With Distributed Batch Gradient Computations. IEEE Trans. Signal Inf. Process. over Networks 7: 754-766 (2021) - [j254]Ye Yuan, Wei Yi, Reza Hoseinnezhad, Pramod K. Varshney:
Robust Power Allocation for Resource-Aware Multi-Target Tracking With Colocated MIMO Radars. IEEE Trans. Signal Process. 69: 443-458 (2021) - [j253]Geethu Joseph, Pramod K. Varshney:
Measurement Bounds for Compressed Sensing in Sensor Networks With Missing Data. IEEE Trans. Signal Process. 69: 905-916 (2021) - [j252]Xiancheng Cheng, Prashant Khanduri, Baixiao Chen, Pramod K. Varshney:
Joint Collaboration and Compression Design for Distributed Sequential Estimation in a Wireless Sensor Network. IEEE Trans. Signal Process. 69: 5448-5462 (2021) - [j251]Kunwar Pritiraj Rajput, Yogesh Verma, Naveen K. D. Venkategowda, Aditya K. Jagannatham, Pramod K. Varshney:
Robust Linear Transceiver Designs for Vector Parameter Estimation in MIMO Wireless Sensor Networks Under CSI Uncertainty. IEEE Trans. Veh. Technol. 70(8): 7347-7362 (2021) - [j250]Animesh Yadav, Chen Quan, Pramod K. Varshney, H. Vincent Poor:
On Performance Comparison of Multi-Antenna HD-NOMA, SCMA, and PD-NOMA Schemes. IEEE Wirel. Commun. Lett. 10(4): 715-719 (2021) - [c252]Pranay Sharma, Prashant Khanduri, Lixin Shen, Donald J. Bucci, Pramod K. Varshney:
On Distributed Online Convex Optimization with Sublinear Dynamic Regret and Fit. ACSCC 2021: 1013-1017 - [c251]Geethu Joseph, Mustafa Cenk Gursoy, Pramod K. Varshney:
Temporal Detection of Anomalies via Actor-Critic Based Controlled Sensing. GLOBECOM 2021: 1-6 - [c250]Swatantra Kafle, Geethu Joseph, Pramod K. Varshney:
One-Bit Compressed Sensing Using Untrained Network Prior. ICASSP 2021: 2875-2879 - [c249]Chen Quan, Baocheng Geng, Pramod K. Varshney:
On Strategic Jamming in Distributed Detection Networks. ICASSP 2021: 4760-4764 - [c248]Baocheng Geng, Quan Chen, Pramod K. Varshney:
Cognitive Memory Constrained Human Decision Making based on Multi-source Information. ICASSP 2021: 5325-5329 - [c247]Geethu Joseph, Mustafa Cenk Gursoy, Pramod K. Varshney:
A Scalable Algorithm for Anomaly Detection via Learning-Based Controlled Sensing. ICC 2021: 1-6 - [c246]Saikiran Bulusu, Venkata Gandikota, Arya Mazumdar, Ankit Singh Rawat, Pramod K. Varshney:
Byzantine Resilient Distributed Clustering with Redundant Data Assignment. ISIT 2021: 2143-2148 - [c245]Sabrina Bourmani, François-Xavier Socheleau, Dominique Pastor, Prashant Khanduri, Pramod K. Varshney:
On Distributed Detection with Random Distortion Testing. ISIVC 2021: 1-6 - [c244]Prashant Khanduri, Pranay Sharma, Haibo Yang, Mingyi Hong, Jia Liu, Ketan Rajawat, Pramod K. Varshney:
STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning. NeurIPS 2021: 6050-6061 - [i100]Haiqi Liu, Xiaojing Shen, Zhiguo Wang, Fanqin Meng, Junfeng Wang, Pramod K. Varshney:
Randomized Multiple Model Multiple Hypothesis Tracking. CoRR abs/2105.01379 (2021) - [i99]Geethu Joseph, Chen Zhong, Mustafa Cenk Gursoy, Senem Velipasalar, Pramod K. Varshney:
Anomaly Detection via Controlled Sensing and Deep Active Inference. CoRR abs/2105.06288 (2021) - [i98]Geethu Joseph, Mustafa Cenk Gursoy, Pramod K. Varshney:
A Scalable Algorithm for Anomaly Detection via Learning-Based Controlled Sensing. CoRR abs/2105.06289 (2021) - [i97]Prashant Khanduri, Pranay Sharma, Haibo Yang, Mingyi Hong, Jia Liu, Ketan Rajawat, Pramod K. Varshney:
STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning. CoRR abs/2106.10435 (2021) - [i96]Anthony Trezza, Donald J. Bucci Jr., Pramod K. Varshney:
Multi-sensor Joint Adaptive Birth Sampler for Labeled Random Finite Set Tracking. CoRR abs/2109.04355 (2021) - [i95]Chen Quan, Baocheng Geng, Yunghsiang S. Han, Pramod K. Varshney:
Enhanced Audit Bit Based Distributed Bayesian Detection in the Presence of Strategic Attacks. CoRR abs/2109.13325 (2021) - [i94]Geethu Joseph, Chen Zhong, Mustafa Cenk Gursoy, Senem Velipasalar, Pramod K. Varshney:
Scalable and Decentralized Algorithms for Anomaly Detection via Learning-Based Controlled Sensing. CoRR abs/2112.04912 (2021) - 2020
- [j249]Saikiran Bulusu, Bhavya Kailkhura, Bo Li, Pramod K. Varshney, Dawn Song:
Anomalous Example Detection in Deep Learning: A Survey. IEEE Access 8: 132330-132347 (2020) - [j248]Wolf Peter Jean Philippe, Shan Zhang, Sara Eftekharnejad, Prasanta K. Ghosh, Pramod K. Varshney:
Mixed Copula-Based Uncertainty Modeling of Hourly Wind Farm Production for Power System Operational Planning Studies. IEEE Access 8: 138569-138583 (2020) - [j247]Fanqin Meng, Xiaojing Shen, Zhiguo Wang, Haiqi Liu, Junfeng Wang, Yunmin Zhu, Pramod K. Varshney:
Multiple-source ellipsoidal localization using acoustic energy measurements. Autom. 112 (2020) - [j246]Shenghua Zhou, Jing Lu, Pramod K. Varshney, Jianlai Wang, Hui Ma, Hongwei Liu:
Colocated MIMO radar waveform optimization with receive beamforming. Digit. Signal Process. 98: 102635 (2020) - [j245]Chen Quan, Animesh Yadav, Baocheng Geng, Pramod K. Varshney, H. Vincent Poor:
A Novel Spectrally-Efficient Uplink Hybrid-Domain NOMA System. IEEE Commun. Lett. 24(11): 2609-2613 (2020) - [j244]Chengxi Li, Gang Li, Pramod K. Varshney:
Distributed Detection of Sparse Signals With Censoring Sensors Via Locally Most Powerful Test. IEEE Signal Process. Lett. 27: 346-350 (2020) - [j243]Sijia Liu, Pin-Yu Chen, Bhavya Kailkhura, Gaoyuan Zhang, Alfred O. Hero III, Pramod K. Varshney:
A Primer on Zeroth-Order Optimization in Signal Processing and Machine Learning: Principals, Recent Advances, and Applications. IEEE Signal Process. Mag. 37(5): 43-54 (2020) - [j242]Yen-Ming Chen, Feng-Tsang Wu, Chih-Peng Li, Pramod K. Varshney:
On the Design of Near-Optimal Variable-Length Error-Correcting Codes for Large Source Alphabets. IEEE Trans. Commun. 68(12): 7896-7910 (2020) - [j241]Zhengjue Wang, Bo Chen, Ruiying Lu, Hao Zhang, Hongwei Liu, Pramod K. Varshney:
FusionNet: An Unsupervised Convolutional Variational Network for Hyperspectral and Multispectral Image Fusion. IEEE Trans. Image Process. 29: 7565-7577 (2020) - [j240]Pranay Sharma, Donald J. Bucci, Swastik K. Brahma, Pramod K. Varshney:
Communication Network Topology Inference via Transfer Entropy. IEEE Trans. Netw. Sci. Eng. 7(1): 562-575 (2020) - [j239]Hsuan-Yin Lin, Po-Ning Chen, Yunghsiang S. Han, Pramod K. Varshney:
Minimum Byzantine Effort for Blinding Distributed Detection in Wireless Sensor Networks. IEEE Trans. Signal Process. 68: 647-661 (2020) - [j238]Shan Zhang, Prashant Khanduri, Pramod K. Varshney:
Distributed Sequential Detection: Dependent Observations and Imperfect Communication. IEEE Trans. Signal Process. 68: 830-842 (2020) - [j237]Baocheng Geng, Swastik Brahma, Thakshila Wimalajeewa, Pramod K. Varshney, Muralidhar Rangaswamy:
Prospect Theoretic Utility Based Human Decision Making in Multi-Agent Systems. IEEE Trans. Signal Process. 68: 1091-1104 (2020) - [j236]Chengxi Li, Gang Li, Pramod K. Varshney:
Distributed Detection of Sparse Stochastic Signals With 1-Bit Data in Tree-Structured Sensor Networks. IEEE Trans. Signal Process. 68: 2963-2976 (2020) - [j235]Baocheng Geng, Qunwei Li, Pramod K. Varshney:
Prospect Theory Based Crowdsourcing for Classification in the Presence of Spammers. IEEE Trans. Signal Process. 68: 4083-4093 (2020) - [j234]Chengxi Li, Gang Li, Pramod K. Varshney:
Distributed Detection of Sparse Signals With Physical Layer Secrecy Constraints: A Falsified Censoring Strategy. IEEE Trans. Signal Process. 68: 6040-6054 (2020) - [j233]Ranning Wang, Animesh Yadav, Esraa A. Makled, Octavia A. Dobre, Ruiqin Zhao, Pramod K. Varshney:
Optimal Power Allocation for Full-Duplex Underwater Relay Networks With Energy Harvesting: A Reinforcement Learning Approach. IEEE Wirel. Commun. Lett. 9(2): 223-227 (2020) - [c243]Chen Quan, Baocheng Geng, Pramod K. Varshney:
Asymptotic Performance In Heterogeneous Human-machine Inference Networks. ACSSC 2020: 584-588 - [c242]Nandan Sriranga, Baocheng Geng, Pramod K. Varshney:
On Human Assisted Decision Making for Machines Using Correlated Observations. ACSSC 2020: 1502-1506 - [c241]Akhil Singh, Sai Praneeth Chokkarapu, Sachin Chaudhari, Pramod K. Varshney:
Copula-Based Cooperative Sensing of OFDM Signals in Cognitive Radios. COMSNETS 2020: 446-451 - [c240]Geethu Joseph, Chen Zhong, Mustafa Cenk Gursoy, Senem Velipasalar, Pramod K. Varshney:
Anomaly Detection via Controlled Sensing and Deep Active Inference. GLOBECOM 2020: 1-6 - [c239]Kunwar Pritiraj Rajput, Yogesh Verma, Naveen K. D. Venkategowda, Aditya K. Jagannatham, Pramod K. Varshney:
Linear MMSE Precoder Combiner Designs for Decentralized Estimation in Wireless Sensor Networks. GLOBECOM 2020: 1-6 - [c238]Saikiran Bulusu, Prashant Khanduri, Pranay Sharma, Pramod K. Varshney:
On Distributed Stochastic Gradient Descent for Nonconvex Functions in the Presence of Byzantines. ICASSP 2020: 3137-3141 - [c237]Geethu Joseph, Swatantra Kafle, Pramod K. Varshney:
One-Bit Compressed Sensing Using Generative Models. ICASSP 2020: 3437-3441 - [c236]Chengxi Li, Gang Li, Pramod K. Varshney:
Distributed Detection of Sparse Signals with 1-Bit Data in Two-Level Two-Degree Tree-Structured Sensor Networks. ICASSP 2020: 5200-5204 - [c235]Mangqing Guo, Mustafa Cenk Gursoy, Pramod K. Varshney:
Sparse Activity Detection in Cell-Free Massive MIMO systems. ISIT 2020: 1177-1182 - [c234]Geethu Joseph, Mustafa Cenk Gursoy, Pramod K. Varshney:
Anomaly Detection Under Controlled Sensing Using Actor-Critic Reinforcement Learning. SPAWC 2020: 1-5 - [c233]Geethu Joseph, Pramod K. Varshney:
Measurement Bounds for Compressed Sensing with Missing Data. SPAWC 2020: 1-5 - [i93]Pranay Sharma, Prashant Khanduri, Lixin Shen, Donald J. Bucci Jr., Pramod K. Varshney:
On Distributed Online Convex Optimization with Sublinear Dynamic Regret and Fit. CoRR abs/2001.03166 (2020) - [i92]Saikiran Bulusu, Bhavya Kailkhura, Bo Li, Pramod K. Varshney, Dawn Song:
Anomalous Instance Detection in Deep Learning: A Survey. CoRR abs/2003.06979 (2020) - [i91]Geethu Joseph, Buddhika Nettasinghe, Vikram Krishnamurthy, Pramod K. Varshney:
Controllability of Network Opinion in Erdős-Rényi Graphs using Sparse Control Inputs. CoRR abs/2003.12817 (2020) - [i90]Prashant Khanduri, Pranay Sharma, Swatantra Kafle, Saikiran Bulusu, Ketan Rajawat, Pramod K. Varshney:
Distributed Stochastic Non-Convex Optimization: Momentum-Based Variance Reduction. CoRR abs/2005.00224 (2020) - [i89]Geethu Joseph, Mustafa Cenk Gursoy, Pramod K. Varshney:
Anomaly Detection Under Controlled Sensing Using Actor-Critic Reinforcement Learning. CoRR abs/2006.01044 (2020) - [i88]Sijia Liu, Pin-Yu Chen, Bhavya Kailkhura, Gaoyuan Zhang, Alfred O. Hero III, Pramod K. Varshney:
A Primer on Zeroth-Order Optimization in Signal Processing and Machine Learning. CoRR abs/2006.06224 (2020) - [i87]Animesh Yadav, Chen Quan, Pramod K. Varshney, H. Vincent Poor:
On Performance Comparison of Multi-Antenna HD-NOMA, SCMA and PD-NOMA Schemes. CoRR abs/2011.14073 (2020) - [i86]Pranay Sharma, Kaidi Xu, Sijia Liu, Pin-Yu Chen, Xue Lin, Pramod K. Varshney:
Zeroth-Order Hybrid Gradient Descent: Towards A Principled Black-Box Optimization Framework. CoRR abs/2012.11518 (2020) - [i85]Chengxi Li, Gang Li, Pramod K. Varshney:
Decentralized Federated Learning via Mutual Knowledge Transfer. CoRR abs/2012.13063 (2020)
2010 – 2019
- 2019
- [j232]Yen-Ming Chen, Feng-Tsang Wu, Chih-Peng Li, Pramod K. Varshney:
An Efficient Construction Strategy for Near-Optimal Variable-Length Error-Correcting Codes. IEEE Commun. Lett. 23(3): 398-401 (2019) - [j231]Chang Gao, Junkun Yan, Shenghua Zhou, Pramod K. Varshney, Hongwei Liu:
Long short-term memory-based deep recurrent neural networks for target tracking. Inf. Sci. 502: 279-296 (2019) - [j230]Xueqian Wang, Gang Li, Pramod K. Varshney:
Distributed Detection of Weak Signals From One-Bit Measurements Under Observation Model Uncertainties. IEEE Signal Process. Lett. 26(3): 415-419 (2019) - [j229]Chengxi Li, You He, Xueqian Wang, Gang Li, Pramod K. Varshney:
Distributed Detection of Sparse Stochastic Signals via Fusion of 1-bit Local Likelihood Ratios. IEEE Signal Process. Lett. 26(12): 1738-1742 (2019) - [j228]Neeraj Varshney, Adarsh Patel, Werner Haselmayr, Aditya K. Jagannatham, Pramod K. Varshney, Arumugam Nallanathan:
Impact of Intermediate Nanomachines in Multiple Cooperative Nanomachine-Assisted Diffusion Advection Mobile Molecular Communication. IEEE Trans. Commun. 67(7): 4856-4871 (2019) - [j227]Nianxia Cao, Swastik Brahma, Baocheng Geng, Pramod K. Varshney:
Optimal Auction Design With Quantized Bids for Target Tracking via Crowdsensing. IEEE Trans. Comput. Soc. Syst. 6(5): 847-857 (2019) - [j226]Swatantra Kafle, Vipul Gupta, Bhavya Kailkhura, Thakshila Wimalajeewa, Pramod K. Varshney:
Joint Sparsity Pattern Recovery With 1-b Compressive Sensing in Distributed Sensor Networks. IEEE Trans. Signal Inf. Process. over Networks 5(1): 15-30 (2019) - [j225]Shan Zhang, Lakshmi Narasimhan Theagarajan, Sora Choi, Pramod K. Varshney:
Fusion of Correlated Decisions Using Regular Vine Copulas. IEEE Trans. Signal Process. 67(8): 2066-2079 (2019) - [j224]Tiexing Wang, Qunwei Li, Donald J. Bucci, Yingbin Liang, Biao Chen, Pramod K. Varshney:
K-Medoids Clustering of Data Sequences With Composite Distributions. IEEE Trans. Signal Process. 67(8): 2093-2106 (2019) - [j223]Xueqian Wang, Gang Li, Pramod K. Varshney:
Detection of Sparse Stochastic Signals With Quantized Measurements in Sensor Networks. IEEE Trans. Signal Process. 67(8): 2210-2220 (2019) - [j222]Prashant Khanduri, Dominique Pastor, Vinod Sharma, Pramod K. Varshney:
Truncated Sequential Non-Parametric Hypothesis Testing Based on Random Distortion Testing. IEEE Trans. Signal Process. 67(15): 4027-4042 (2019) - [j221]Apoorva Chawla, Adarsh Patel, Aditya K. Jagannatham, Pramod K. Varshney:
Distributed Detection in Massive MIMO Wireless Sensor Networks Under Perfect and Imperfect CSI. IEEE Trans. Signal Process. 67(15): 4055-4068 (2019) - [j220]Prashant Khanduri, Lakshmi Narasimhan Theagarajan, Pramod K. Varshney:
Online Design of Optimal Precoders for High Dimensional Signal Detection. IEEE Trans. Signal Process. 67(15): 4122-4135 (2019) - [j219]Chengxi Li, Gang Li, Bhavya Kailkhura, Pramod K. Varshney:
Secure Distributed Detection of Sparse Signals via Falsification of Local Compressive Measurements. IEEE Trans. Signal Process. 67(18): 4696-4706 (2019) - [j218]Xueqian Wang, Gang Li, Chen Quan, Pramod K. Varshney:
Distributed Detection of Sparse Stochastic Signals With Quantized Measurements: The Generalized Gaussian Case. IEEE Trans. Signal Process. 67(18): 4886-4898 (2019) - [j217]Prashant Khanduri, Dominique Pastor, Vinod Sharma, Pramod K. Varshney:
Sequential Random Distortion Testing of Non-Stationary Processes. IEEE Trans. Signal Process. 67(21): 5450-5462 (2019) - [j216]Pranay Sharma, Augustin-Alexandru Saucan, Donald J. Bucci, Pramod K. Varshney:
Decentralized Gaussian Filters for Cooperative Self-Localization and Multi-Target Tracking. IEEE Trans. Signal Process. 67(22): 5896-5911 (2019) - [c232]Baocheng Geng, Swastik Brahma, Pramod K. Varshney:
A Truthful Mechanism For Mobility Management In Unmanned Aerial Vehicles Networks. ACSSC 2019: 401-405 - [c231]Shan Zhang, Prashant Khanduri, Pramod K. Varshney:
Distributed Sequential Hypothesis Testing with Dependent Sensor Observations. ACSSC 2019: 1862-1866 - [c230]Xueqian Wang, Gang Li, Chen Quan, Pramod K. Varshney:
Distributed Detection of Generalized Gaussian Sparse Signals with One-Bit Measurements (Poster).