Hao Chen

68 papers B 7C 4Misc 15Journal 27Unranked 15
YearRankTypeTitle / Venue / Authors
2023 J jnl
Robust location parameter estimation in the presence of adversary.
Digit. Signal Process.
Santosh Paudel, Hao Chen, Braham Himed
2022 — conf
Bayesian Multiagent Active Sensing and Localization via Decentralized Posterior Sampling.
IEEECONF
Braden C. Soper, Priyadip Ray, Jose Cadena, Hao Chen, Ryan A. Goldhahn
2021 — conf
Optimal Channel-aware Bayesian Estimation with 1-bit Quantization.
ACSCC
Santosh Paudel, Hao Chen
2021 J jnl
Stochastic Gradient-Based Distributed Bayesian Estimation in Cooperative Sensor Networks.
IEEE Trans. Signal Process.
Jose Cadena, Priyadip Ray, Hao Chen, Braden Soper, Deepak Rajan, Anton Yen, Ryan A. Goldhahn
2021 J jnl
Treatment of Severe Synovitis of Knee with a Double-Arthroscopy Technique: A Quality Improvement Study.
J. Medical Imaging Health Informatics
Hao Chen, Gu lingchuan, Pengfei Yang, Fu Dejie, Guo Lin
2018 J jnl
Secrecy Constrained Distributed Detection in Sensor Networks.
IEEE Trans. Signal Inf. Process. over Networks
Jun Guo, Uri Rogers, Xia Li, Hao Chen
2017 Misc conf
Asymptotic perfect secrecy in distributed estimation for large sensor networks.
ICASSP
Jun Guo, Hao Chen, Uri Rogers
2016 Misc conf
Analyzing and improving MIMO radar detection performance in the presence of cybersecurity attacks.
ACSSC
Hao Chen, Braham Himed
2016 Misc conf
Asymptotic optimal quantizer design for distributed Bayesian estimation.
ICASSP
Xia Li, Jun Quo, Uri Rogers, Hao Chen
2016 Misc conf
Asymptotic perfect secrecy in distributed detection against a global eavesdropper.
ICASSP
Jun Quo, Xia Li, Uri Rogers, Hao Chen
2015 — conf
Impact of common observations in parallel distributed detection.
SP/SPE
Hao Chen, Tsang-Yi Wang
2015 — conf
The performance limit for distributed Bayesian estimation with identical one-bit quantizers.
SP/SPE
Xia Li, Jun Guo, Hao Chen, Uri Rogers
2014 J jnl
Noise-Enhanced Information Systems.
Proc. IEEE
Hao Chen, Lav R. Varshney, Pramod K. Varshney
2014 Misc conf
Random distributed detection with an application to Cognitive Radio Byzantine attack.
ICASSP
Uri Rogers, Jun Guo, Xia Li, Hao Chen
2013 J jnl
Dimensionality Reduction for Registration of High-Dimensional Data Sets.
IEEE Trans. Image Process.
Min Xu, Hao Chen, Pramod K. Varshney
2013 Misc conf
Distributed detection and Uniformly Most Powerful tests.
ICASSP
Uri Rogers, Hao Chen
2013 — conf
Distributed detection of a common random signal.
WPMC
Hao Chen, Uri Rogers, Tsang-Yi Wang
2013 Misc conf
Distributed detection with common observations.
ICASSP
Hao Chen, Tsang-Yi Wang
2013 J jnl
Localization in Wireless Sensor Networks: Byzantines and Mitigation Techniques.
IEEE Trans. Signal Process.
Aditya Vempaty, Onur Ozdemir, Keshav Agrawal, Hao Chen, Pramod K. Varshney
2012 J jnl
A New Framework for Distributed Detection With Conditionally Dependent Observations.
IEEE Trans. Signal Process.
Hao Chen, Biao Chen, Pramod K. Varshney
2012 — conf
A hierarchical model for distributed detection with conditionally dependent observations.
SAM
Hao Chen
2012 B conf
New results on distributed detection with dependent observations.
GLOBECOM
Ge Xu, Hao Chen, Biao Chen
2012 Misc conf
On energy detection for cooperative spectrum sensing.
CISS
Fangrong Peng, Hao Chen, Biao Chen
2012 J jnl
Optimal Identical Binary Quantizer Design for Distributed Estimation
CoRR
Swarnendu Kar, Hao Chen, Pramod K. Varshney
2012 J jnl
Optimal Identical Binary Quantizer Design for Distributed Estimation.
IEEE Trans. Signal Process.
Swarnendu Kar, Hao Chen, Pramod K. Varshney
2012 J jnl
Performance Limits of Compressive Sensing-Based Signal Classification.
IEEE Trans. Signal Process.
Thakshila Wimalajeewa, Hao Chen, Pramod K. Varshney
2012 — conf
Performance limit for distributed detection under correlated observations in wireless sensor networks.
SCVT
Ying Lin, Hao Chen
2012 J jnl
Spatial Whitening Framework for Distributed Estimation
CoRR
Swarnendu Kar, Pramod K. Varshney, Hao Chen
2012 C conf
Tandem distributed detection with conditionally dependent observations.
FUSION
Pengfei Yang, Biao Chen, Hao Chen, Pramod K. Varshney
2011 B conf
Adaptive learning of Byzantines' behavior in cooperative spectrum sensing.
WCNC
Aditya Vempaty, Keshav Agrawal, Hao Chen, Pramod K. Varshney
2011 J jnl
An Image Fusion Approach Based on Markov Random Fields.
IEEE Trans. Geosci. Remote. Sens.
Min Xu, Hao Chen, Pramod K. Varshney
2011 J jnl
Collaborative Spectrum Sensing in the Presence of Byzantine Attacks in Cognitive Radio Networks.
IEEE Trans. Signal Process.
Ankit Singh Rawat, Priyank Anand, Hao Chen, Pramod K. Varshney
2011 — conf
Minimax games for cooperative spectrum sensing in a centralized cognitive radio network in the presence of interferers.
MILCOM
V. Sriram Siddhardh Nadendla, Hao Chen, Pramod K. Varshney
2011 — conf
On noise-enhanced distributed inference in the presence of Byzantines.
Allerton
Mukul Gagrani, Pranay Sharma, Satish G. Iyengar, V. Sriram Siddhardh Nadendla, Aditya Vempaty, Hao Chen, Pramod K. Varshney
2011 — conf
Spatial whitening framework for distributed estimation.
CAMSAP
Swarnendu Kar, Pramod K. Varshney, Hao Chen
2011 — conf
Target localization in Wireless Sensor Networks with quantized data in the presence of Byzantine attacks.
ACSCC
Keshav Agrawal, Aditya Vempaty, Hao Chen, Pramod K. Varshney
2011 — conf
Uniformly most powerful distributed detection and its application in cooperative spectrum sensing.
ACSCC
Hao Chen, Uri Rogers
2010 Misc conf
A novel framework for distributed detection with dependent observations.
ICASSP
Hao Chen, Pramod K. Varshney, Biao Chen
2010 Misc conf
Collaborative spectrum sensing in the presence of Byzantine attacks in Cognitive Radio Networks.
COMSNETS
Priyank Anand, Ankit Singh Rawat, Hao Chen, Pramod K. Varshney
2010 Misc conf
Countering byzantine attacks in cognitive radio networks.
ICASSP
Ankit Singh Rawat, Priyank Anand, Hao Chen, Pramod K. Varshney
2010 B conf
New Observations on Interference Channels under Strong and Very Strong Interference.
GLOBECOM
Jin Xu, Hao Chen, Biao Chen
2010 Misc conf
Noise-refined image enhancement using multi-objective optimization.
CISS
Renbin Peng, Hao Chen, Pramod K. Varshney
2010 J jnl
Nonparametric one-bit quantizers for distributed estimation.
IEEE Trans. Signal Process.
Hao Chen, Pramod K. Varshney
2010 J jnl
Performance limit for distributed estimation systems with identical one-bit quantizers.
IEEE Trans. Signal Process.
Hao Chen, Pramod K. Varshney
2010 J jnl
Response to the comments "Contrast sensitivity function - A Correction" by Y. Han, X. Xu and Y. Cai.
Inf. Fusion
Hao Chen, Pramod K. Varshney
2009 B conf
Conditional dependence in distributed detection: How far can we go?
ISIT
Hao Chen, Pramod K. Varshney, Biao Chen
2009 J jnl
Further Results on the Optimality of the Likelihood-Ratio Test for Local Sensor Decision Rules in the Presence of Nonideal Channels.
IEEE Trans. Inf. Theory
Hao Chen, Biao Chen, Pramod K. Varshney
2009 J jnl
Noise Enhanced Nonparametric Detection.
IEEE Trans. Inf. Theory
Hao Chen, Pramod K. Varshney, Steven M. Kay, James H. Michels
2009 J jnl
Noise-Enhanced Detection of Micro-Calcifications in Digital Mammograms.
IEEE J. Sel. Top. Signal Process.
Renbin Peng, Hao Chen, Pramod K. Varshney
2009 B conf
Registration of high-dimensional remote sensing data based on a new dimensionality reduction rule.
ICIP
Min Xu, Hao Chen, Pramod K. Varshney
2009 J jnl
Ziv-zakai bounds on image registration.
IEEE Trans. Signal Process.
Min Xu, Hao Chen, Pramod K. Varshney
2008 Misc conf
A novel approach for image fusion based on Markov Random Fields.
CISS
Min Xu, Hao Chen, Pramod K. Varshney
2008 Misc conf
Cooperative relay for decentralized detection.
ICASSP
Hao Chen, Pramod K. Varshney, Biao Chen
2008 B conf
Digital mammogram enhancement based on ROI enhancement and background suppression.
Image Processing
Renbin Peng, Pramod K. Varshney, Hao Chen, James H. Michels
2008 J jnl
Improving Sequential Detection Performance Via Stochastic Resonance.
IEEE Signal Process. Lett.
Hao Chen, Pramod K. Varshney, James H. Michels
2008 J jnl
Noise Enhanced Parameter Estimation.
IEEE Trans. Signal Process.
Hao Chen, Pramod K. Varshney, James H. Michels
2008 B conf
Nonparametric one-bit quantizers for distributed estimation.
ISIT
Hao Chen, Pramod K. Varshney
2008 J jnl
Theory of the Stochastic Resonance Effect in Signal Detection - Part II: Variable Detectors.
IEEE Trans. Signal Process.
Hao Chen, Pramod K. Varshney
2007 J jnl
A human perception inspired quality metric for image fusion based on regional information.
Inf. Fusion
Hao Chen, Pramod K. Varshney
2007 — conf
Dimensionality Reduction of Hyperspectral Images for Color Display using Segmented Independent Component Analysis.
ICIP (4)
Yingxuan Zhu, Pramod K. Varshney, Hao Chen
2007 C conf
Evaluation of ICA based fusion of hyperspectral images for color display.
FUSION
Yingxuan Zhu, Pramod K. Varshney, Hao Chen
2007 C conf
Sensor fusion enhancement via optimized stochastic resonance at local sensors.
FUSION
Bin Liu, Satish G. Iyengar, Hao Chen, James H. Michels, Pramod K. Varshney
2007 J jnl
Theory of the Stochastic Resonance Effect in Signal Detection: Part I-Fixed Detectors.
IEEE Trans. Signal Process.
Hao Chen, Pramod K. Varshney, Steven M. Kay, James H. Michels
2006 — conf
Approaching Near Optimal Detection Performance via Stochastic Resonance.
ICASSP (3)
Hao Chen, Pramod K. Varshney, James H. Michels, Steven M. Kay
2006 C conf
Can addition of noise improve distributed detection performance?
FUSION
Hao Chen, Pramod K. Varshney, James H. Michels, Steven M. Kay
2006 Misc conf
Improving Nonparametric Detectors via Stochastic Resonance.
CISS
Hao Chen, Pramod K. Varshney, Steven Kay, James H. Michels
2006 J jnl
Reducing Probability of Decision Error Using Stochastic Resonance.
IEEE Signal Process. Lett.
Steven M. Kay, James H. Michels, Hao Chen, Pramod K. Varshney
2005 — conf
Feature subset selection with applications to hyperspectral data.
ICASSP (2)
Hao Chen, Pramod K. Varshney