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ORCIDPramod K. Varshney
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- affiliation: Syracuse University, USA
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2020 – today
- 2025
[j300]Guoxin Zhang
, Wei Yi, Jiajun He, Hien Quoc Ngo, Michail Matthaiou, Pramod K. Varshney:
One-Bit Direct Localization in Wireless Sensor Networks Over Rayleigh Fading Channels. IEEE J. Sel. Top. Signal Process. 19(6): 926-942 (2025)- [j299]Hanning Tang, Zhiguo Wang, Xiaojing Shen, Pramod K. Varshney:
Ellipsoidal extended target estimation fusion via Wasserstein barycentric coordinates. Signal Process. 230: 109857 (2025) - [j298]Geethu Joseph, Venkata Gandikota, Ayush Bhandari, Junil Choi, In-soo Kim, Gyoseung Lee, Michail Matthaiou, Chandra R. Murthy, Hien Quoc Ngo, Pramod K. Varshney, Thakshila Wimalajeewa, Wei Yi, Ye Yuan, Guoxin Zhang:
Low-resolution compressed sensing and beyond for communications and sensing: Trends and opportunities. Signal Process. 235: 110020 (2025) - [j297]Ye Yuan, Xinyu Liu, Wujun Li, Wei Yi, Pramod K. Varshney:
Approximating the Lower Bound on the Arithmetic Average-Based Distributed State Estimation. IEEE Trans. Aerosp. Electron. Syst. 61(2): 4642-4657 (2025) - [j296]Weiming Li, Xueqian Wang, Gang Li, Baocheng Geng, Pramod K. Varshney:
A Copula-Guided In-Model Interpretable Neural Network for Change Detection in Heterogeneous Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 63: 1-17 (2025) - [j295]Saikiran Bulusu, Venkata Gandikota, Arya Mazumdar, Ankit Singh Rawat, Pramod K. Varshney:
Robust Distributed Clustering With Redundant Data Assignment. IEEE Trans. Inf. Theory 71(4): 2888-2908 (2025) - [j294]Chang Gao, Qingfu Zhang, Pramod K. Varshney, Xi Lin, Hongwei Liu:
A Distributed Multi-Objective Detection Method for Multi-Sensor Systems With Unknown Local SNR. IEEE Trans. Signal Process. 73: 649-663 (2025) - [j293]Juan Hu, Lei Zuo, Pramod K. Varshney, Zhengyu Lan, Yongchan Gao:
Collaborative Trajectory Optimization for Multitarget Tracking in Airborne Radar Network With Missing Data. IEEE Trans. Signal Process. 73: 1048-1064 (2025) - [j292]Jun Sun, Wei Yi, Ye Yuan, Pramod K. Varshney:
Dynamic Transmit-Receive Beampattern Optimization of Colocated MIMO Radars for Multi-Target Tracking Under Suppression Jamming. IEEE Trans. Signal Process. 73: 2271-2287 (2025) - [j291]Fengdeng Gu, Chang Gao, Rongrong Wang, Pramod K. Varshney, Junkun Yan, Hongwei Liu:
Distributed Detection for Asynchronous Sensors Aided by Location-Doppler Coupling and Track Distribution Modeling. IEEE Trans. Signal Process. 73: 4622-4637 (2025) - [c284]Nandan Sriranga, Arick Grootveld, Pramod K. Varshney:
Linear Sensor Collaboration for Distributed Parameter Estimation in the Presence of Communication Failures. FUSION 2025: 1-8 - [c283]Saikiran Bulusu, Venkata Gandikota, Pramod K. Varshney:
Support Recovery in 1-Bit Compressed Sensing with Burst Sparse Noise. ICASSP 2025: 1-5 - [c282]Ziyang Lu, Subodh Kalia, Mustafa Cenk Gursoy, Chilukuri K. Mohan, Pramod K. Varshney:
Multi-Objective Reinforcement Learning for Cognitive Radar Resource Management. ICASSP 2025: 1-5 - [c281]Kunwar Pritiraj Rajput, Linlong Wu, Bhavani Shankar M. R., Björn E. Ottersten, Pramod K. Varshney:
Tracking Time-Varying Parameters in Massive MIMO IoT Networks: A Linear Coherent Decentralized Approach. ICASSP 2025: 1-5 - [c280]Zishi Zhang, Ye Yuan, Wei Yi, Pramod K. Varshney:
Robust Dwell Time Allocation for Multiple Ballistic Reentry Target Tracking in Phased Array Radar. ICASSP 2025: 1-5 - [c279]Daofu Zhang, Mehrdad Pournaderi, Yu Xiang, Pramod K. Varshney:
Distributed Multiple Testing with False Discovery Rate Control in the Presence of Byzantines. ISIT 2025: 1-6 - [c278]Haodong Yang, Joshua Kortje, Biao Chen, Pramod K. Varshney, Jithin Jagannath, Anu Jagannath:
Enhancing Spectrum Sensing Through Coupled Hidden Markov Models. MILCOM 2025: 338-343 - [i117]Daofu Zhang, Mehrdad Pournaderi, Yu Xiang, Pramod K. Varshney:
Distributed Multiple Testing with False Discovery Rate Control in the Presence of Byzantines. CoRR abs/2501.13242 (2025) - [i116]Swatantra Kafle, Geethu Joseph, Pramod K. Varshney:
One-bit Compressed Sensing using Generative Models. CoRR abs/2502.12762 (2025) - [i115]Ziyang Lu, Mustafa Cenk Gursoy, Chilukuri K. Mohan, Pramod K. Varshney:
Learning-Based Resource Management in Integrated Sensing and Communication Systems. CoRR abs/2506.20849 (2025) - [i114]Ziyang Lu, Subodh Kalia, Mustafa Cenk Gursoy, Chilukuri K. Mohan, Pramod K. Varshney:
Multi-Objective Reinforcement Learning for Cognitive Radar Resource Management. CoRR abs/2506.20853 (2025) - [i113]Ziyang Lu, Mustafa Cenk Gursoy, Chilukuri K. Mohan, Pramod K. Varshney:
Explainable AI for Radar Resource Management: Modified LIME in Deep Reinforcement Learning. CoRR abs/2506.20916 (2025) - [i112]Qiaojia Zhu, Xiaojing Shen, Haiqi Liu, Pramod K. Varshney:
Joint Cooperative and Non-Cooperative Localization in WSNs with Distributed Scaled Proximal ADMM Algorithms. CoRR abs/2509.18213 (2025) - [i111]Daofu Zhang, Mehrdad Pournaderi, Hanne M. Clifford, Yu Xiang, Pramod K. Varshney:
On the Adversarial Robustness of Learning-based Conformal Novelty Detection. CoRR abs/2510.00463 (2025) - 2024
- [j290]Chengxi Li, Gang Li, Zhuoyue Wang, Xueqian Wang, Pramod K. Varshney:
COMIC: An unsupervised change detection method for heterogeneous remote sensing images based on copula mixtures and Cycle-Consistent Adversarial Networks. Inf. Fusion 106: 102240 (2024) - [j289]Ayush Kumar Dwivedi, Sachin Chaudhari, Neeraj Varshney, Pramod K. Varshney:
Performance Analysis of LEO Satellite-Based IoT Networks in the Presence of Interference. IEEE Internet Things J. 11(5): 8783-8799 (2024) - [j288]Augustin-Alexandru Saucan, Víctor Elvira, Pramod K. Varshney, Moe Z. Win:
Information Fusion via Importance Sampling. IEEE Trans. Signal Inf. Process. over Networks 10: 376-389 (2024) - [j287]Chen Quan, Yunghsiang S. Han, Baocheng Geng, Pramod K. Varshney:
Distributed Quantized Detection of Sparse Signals Under Byzantine Attacks. IEEE Trans. Signal Process. 72: 57-69 (2024) - [j286]Juan Hu, Lei Zuo, Pramod K. Varshney, Yongchan Gao:
Resource Allocation for Distributed Multitarget Tracking in Radar Networks With Missing Data. IEEE Trans. Signal Process. 72: 718-734 (2024) - [j285]Guoxin Zhang, Wei Yi, Michail Matthaiou, Pramod K. Varshney:
Direct Target Localization With Low-Bit Quantization in Wireless Sensor Networks. IEEE Trans. Signal Process. 72: 3059-3075 (2024) - [j284]Berkan Dulek, Emre Efendi, Pramod K. Varshney:
Behavioral Utility-Based Distributed Detection With Conditionally Independent Observations. IEEE Trans. Signal Process. 72: 3717-3730 (2024) - [j283]Swatantra Kafle, Thakshila Wimalajeewa, Pramod K. Varshney:
Noisy One-Bit Compressed Sensing With Side-Information. IEEE Trans. Signal Process. 72: 3792-3804 (2024) - [c277]Abhinav Kumar, Swastik Brahma, Baocheng Geng, Charles A. Kamhoua, Pramod K. Varshney:
A Hypothesis Testing-based Framework for Cyber Deception with Sludging. Allerton 2024: 1-8 - [c276]Guoxin Zhang, Yunfei Liang, Wei Yi, Hien Quoc Ngo, Michail Matthaiou, Pramod K. Varshney:
Channel-Aware Direct Localization Using One-Bit Quantized Measurements. EUSIPCO 2024: 842-846 - [c275]Mengchen Fan, Baocheng Geng, Keren Li, Xueqian Wang, Pramod K. Varshney:
Interpretable Data Fusion for Distributed Learning: A Representative Approach via Gradient Matching. FUSION 2024: 1-8 - [c274]Hanning Tang, Xiaojing Shen, Hua Zhao, Zhiguo Wang, Pramod K. Varshney:
Bures-Wasserstein Barycentric Coordinates with Application to Diffusion Tensor Image Smoothing. FUSION 2024: 1-8 - [c273]Guoxin Zhang, Yunfei Liang, Cong Wang, Wei Yi, Hien Quoc Ngo, Michail Matthaiou, Pramod K. Varshney:
Decentralized Direct Localization Based on Gauss-Newton Method in Multi-Sensor Networks. FUSION 2024: 1-7 - [c272]Mei Zhang, Xiaojing Shen, Zhiguo Wang, Pramod K. Varshney:
Robust Primal-Dual Proximal Algorithm for Cooperative Localization in WSNs. FUSION 2024: 1-8 - [c271]Kunwar Pritiraj Rajput, Linlong Wu, M. R. Bhavani Shankar, Pramod K. Varshney:
Joint Transmit Precoders and Passive Reflection Beamformer Design in IRS-Aided IoT Networks. ICASSP 2024: 156-160 - [c270]Ziyang Lu, Mustafa Cenk Gursoy, Chilukuri K. Mohan, Pramod K. Varshney:
Learning-Based Cognitive Radar Resource Management for Scanning and Multi-Target Tracking. ICC 2024: 2785-2790 - [c269]Ziyang Lu, Mustafa Cenk Gursoy, Chilukuri K. Mohan, Pramod K. Varshney:
Learning-Based Resource Management in Integrated Sensing and Communication Systems. INFOCOM (Workshops) 2024: 1-6 - [i110]Mengchen Fan, Baocheng Geng, Keren Li, Xueqian Wang, Pramod K. Varshney:
Interpretable Data Fusion for Distributed Learning: A Representative Approach via Gradient Matching. CoRR abs/2405.03782 (2024) - [i109]Reyhaneh Abdolazimi, Shengmin Jin, Pramod K. Varshney, Reza Zafarani:
Harnessing the Power of Noise: A Survey of Techniques and Applications. CoRR abs/2410.06348 (2024) - 2023
- [j282]Ruixin Niu, Pramod K. Varshney:
Designing Local Quantizers for Distributed Detection of a Source With Unknown Location. IEEE Commun. Lett. 27(11): 3113-3117 (2023) - [j281]Chang Gao, Junkun Yan, Bo Chen, Pramod K. Varshney, Tianyi Jia, Hongwei Liu:
Data association for maneuvering targets through a combined siamese network and XGBoost model. Signal Process. 211: 109086 (2023) - [j280]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) - [j279]Chengxi Li, Gang Li, Xueqian Wang, Pramod K. Varshney:
A Copula-Based Method for Change Detection With Multisensor Optical Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [j278]Guoxin Zhang, Wei Yi, Pramod K. Varshney, Lingjiang Kong:
Direct Target Localization With Quantized Measurements in Noncoherent Distributed MIMO Radar Systems. IEEE Trans. Geosci. Remote. Sens. 61: 1-18 (2023) - [j277]Geethu Joseph, Chen Zhong, Mustafa Cenk Gursoy, Senem Velipasalar, Pramod K. Varshney:
Scalable and Decentralized Algorithms for Anomaly Detection via Learning-Based Controlled Sensing. IEEE Trans. Signal Inf. Process. over Networks 9: 640-654 (2023) - [j276]Chen Quan, Saikiran Bulusu, Baocheng Geng, Yunghsiang S. Han, Nandan Sriranga, Pramod K. Varshney:
On Ordered Transmission Based Distributed Gaussian Shift-in-Mean Detection Under Byzantine Attacks. IEEE Trans. Signal Process. 71: 3343-3356 (2023) - [j275]Jiajie Sun, Zhiguo Wang, Xiaojing Shen, Pramod K. Varshney:
Optimal Power Allocation Under Different Power Availability Scenarios for Multitarget Tracking With C-MIMO Radar Systems. IEEE Trans. Signal Process. 71: 4146-4162 (2023) - [c268]Chen Quan, Baocheng Geng, Yunghsiang S. Han, Pramod K. Varshney:
Human-machine Hierarchical Networks for Decision Making under Byzantine Attacks. CISS 2023: 1-6 - [c267]Nandan Sriranga, Baocheng Geng, Pramod K. Varshney:
Sequential Processing of Observations in Human Decision-Making Systems. FUSION 2023: 1-6 - [c266]Anthony Trezza, Donald J. Bucci Jr., Pramod K. Varshney:
On Gibbs Sampling Architecture for Labeled Random Finite Sets Multi-Object Tracking. FUSION 2023: 1-8 - [c265]Saikiran Bulusu, Venkata Gandikota, Pramod K. Varshney:
1-Bit Compressed Sensing with Local Sparsity Patterns. ISIT 2023: 1172-1177 - [i108]Baocheng Geng, Pramod K. Varshney:
Human-Machine Collaboration for Smart Decision Making: Current Trends and Future Opportunities. CoRR abs/2301.07766 (2023) - [i107]Nandan Sriranga, Baocheng Geng, Pramod K. Varshney:
Sequential Processing of Observations in Human Decision-Making Systems. CoRR abs/2301.07767 (2023) - [i106]Haiqi Liu, Jiajie Sun, Xuqi Zhang, Fanqin Meng, Xiaojing Shen, Pramod K. Varshney:
On Communication-Efficient Multisensor Track Association via Measurement Transformation (Extended Version). CoRR abs/2303.16555 (2023) - [i105]Anthony Trezza, Donald J. Bucci Jr., Pramod K. Varshney:
On Gibbs Sampling Architecture for Labeled Random Finite Sets Multi-Object Tracking. CoRR abs/2306.15135 (2023) - [i104]Geethu Joseph, Chen Zhong, Mustafa Cenk Gursoy, Senem Velipasalar, Pramod K. Varshney:
Anomaly Detection via Learning-Based Sequential Controlled Sensing. CoRR abs/2312.00088 (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) - [c264]Nandan Sriranga, Anthony Trezza, Saikiran Bulusu, Donald J. Bucci, Pramod K. Varshney:
Online Identification of Recurring Changepoints. IEEECONF 2022: 426-430 - [c263]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 - [c262]Baocheng Geng, Chen Quan, Tianyun Zhang, Makan Fardad, Pramod K. Varshney:
Loss Attitude Aware Energy Management for Signal Detection. IEEECONF 2022: 824-828 - [c261]Baocheng Geng, Pramod K. Varshney:
Human-Machine Collaboration for Smart Decision Making: Current Trends and Future Opportunities. CIC 2022: 61-67 - [c260]Geethu Joseph, Pramod K. Varshney:
State Estimation of Linear Systems With Sparse Inputs and Markov-Modulated Missing Outputs. EUSIPCO 2022: 837-841 - [c259]Wael A. Hashlamoun, Swastik Brahma, Pramod K. Varshney:
Distributed Detection with Multiple Sensors in the Presence of Sybil Attacks. GLOBECOM 2022: 2770-2775 - [c258]Baocheng Geng, Qunwei Li, Pramod K. Varshney:
Human Decision Making with Bounded Rationality. ICASSP 2022: 5493-5497 - [c257]Pranay Sharma, Rohan Panda, Gauri Joshi, Pramod K. Varshney:
Federated Minimax Optimization: Improved Convergence Analyses and Algorithms. ICML 2022: 19683-19730 - [c256]Saikiran Bulusu, Geethu Joseph, Mustafa Cenk Gursoy, Pramod K. Varshney:
Learning Distributions Generated by Single-Layer ReLU Networks in the Presence of Arbitrary Outliers. NeurIPS 2022 - [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) - [c255]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 - [c254]Geethu Joseph, Mustafa Cenk Gursoy, Pramod K. Varshney:
Temporal Detection of Anomalies via Actor-Critic Based Controlled Sensing. GLOBECOM 2021: 1-6 - [c253]Swatantra Kafle, Geethu Joseph, Pramod K. Varshney:
One-Bit Compressed Sensing Using Untrained Network Prior. ICASSP 2021: 2875-2879 - [c252]Chen Quan, Baocheng Geng, Pramod K. Varshney:
On Strategic Jamming in Distributed Detection Networks. ICASSP 2021: 4760-4764 - [c251]Baocheng Geng, Quan Chen, Pramod K. Varshney:
Cognitive Memory Constrained Human Decision Making based on Multi-source Information. ICASSP 2021: 5325-5329 - [c250]Geethu Joseph, Mustafa Cenk Gursoy, Pramod K. Varshney:
A Scalable Algorithm for Anomaly Detection via Learning-Based Controlled Sensing. ICC 2021: 1-6 - [c249]Saikiran Bulusu, Venkata Gandikota, Arya Mazumdar, Ankit Singh Rawat, Pramod K. Varshney:
Byzantine Resilient Distributed Clustering with Redundant Data Assignment. ISIT 2021: 2143-2148 - [c248]Sabrina Bourmani, François-Xavier Socheleau, Dominique Pastor, Prashant Khanduri, Pramod K. Varshney:
On Distributed Detection with Random Distortion Testing. ISIVC 2021: 1-6 - [c247]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) - [c246]Chen Quan, Baocheng Geng, Pramod K. Varshney:
Asymptotic Performance In Heterogeneous Human-machine Inference Networks. ACSSC 2020: 584-588 - [c245]Nandan Sriranga, Baocheng Geng, Pramod K. Varshney:
On Human Assisted Decision Making for Machines Using Correlated Observations. ACSSC 2020: 1502-1506 - [c244]Akhil Singh, Sai Praneeth Chokkarapu, Sachin Chaudhari, Pramod K. Varshney:
Copula-Based Cooperative Sensing of OFDM Signals in Cognitive Radios. COMSNETS 2020: 446-451 - [c243]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 - [c242]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 - [c241]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 - [c240]Geethu Joseph, Swatantra Kafle, Pramod K. Varshney:
One-Bit Compressed Sensing Using Generative Models. ICASSP 2020: 3437-3441 - [c239]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 - [c238]Mangqing Guo, Mustafa Cenk Gursoy, Pramod K. Varshney:
Sparse Activity Detection in Cell-Free Massive MIMO systems. ISIT 2020: 1177-1182 - [c237]Geethu Joseph, Mustafa Cenk Gursoy, Pramod K. Varshney:
Anomaly Detection Under Controlled Sensing Using Actor-Critic Reinforcement Learning. SPAWC 2020: 1-5 - [c236]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]