Hao Chen

Publication Activity (10 Years)

Years Active: 2005-2023
Publications (10 Years): 7

Top Topics

Quality Improvement

Bayesian Estimation

Parallel Distributed

Top Venues

Publications

Santosh Paudel, Hao Chen, Braham Himed
Robust location parameter estimation in the presence of adversary. Digit. Signal Process. 142 (2023)
Braden C. Soper, Priyadip Ray, Jose Cadena, Hao Chen, Ryan A. Goldhahn
Bayesian Multiagent Active Sensing and Localization via Decentralized Posterior Sampling. IEEECONF (2022)
Hao Chen, Gu lingchuan, Pengfei Yang, Fu Dejie, Guo Lin
Treatment of Severe Synovitis of Knee with a Double-Arthroscopy Technique: A Quality Improvement Study. J. Medical Imaging Health Informatics 11 (4) (2021)
Jun Guo, Uri Rogers, Xia Li, Hao Chen
Secrecy Constrained Distributed Detection in Sensor Networks. IEEE Trans. Signal Inf. Process. over Networks 4 (2) (2018)
Jun Guo, Hao Chen, Uri Rogers
Asymptotic perfect secrecy in distributed estimation for large sensor networks. ICASSP (2017)
Xia Li, Jun Quo, Uri Rogers, Hao Chen
Asymptotic optimal quantizer design for distributed Bayesian estimation. ICASSP (2016)
Jun Quo, Xia Li, Uri Rogers, Hao Chen
Asymptotic perfect secrecy in distributed detection against a global eavesdropper. ICASSP (2016)
Hao Chen, Tsang-Yi Wang
Impact of common observations in parallel distributed detection. SP/SPE (2015)
Xia Li, Jun Guo, Hao Chen, Uri Rogers
The performance limit for distributed Bayesian estimation with identical one-bit quantizers. SP/SPE (2015)
Uri Rogers, Jun Guo, Xia Li, Hao Chen
Random distributed detection with an application to Cognitive Radio Byzantine attack. ICASSP (2014)
Hao Chen, Lav R. Varshney, Pramod K. Varshney
Noise-Enhanced Information Systems. Proc. IEEE 102 (10) (2014)
Min Xu, Hao Chen, Pramod K. Varshney
Dimensionality Reduction for Registration of High-Dimensional Data Sets. IEEE Trans. Image Process. 22 (8) (2013)
Hao Chen, Tsang-Yi Wang
Distributed detection with common observations. ICASSP (2013)
Hao Chen, Uri Rogers, Tsang-Yi Wang
Distributed detection of a common random signal. WPMC (2013)
Aditya Vempaty, Onur Ozdemir, Keshav Agrawal, Hao Chen, Pramod K. Varshney
Localization in Wireless Sensor Networks: Byzantines and Mitigation Techniques. IEEE Trans. Signal Process. 61 (6) (2013)
Uri Rogers, Hao Chen
Distributed detection and Uniformly Most Powerful tests. ICASSP (2013)
Swarnendu Kar, Hao Chen, Pramod K. Varshney
Optimal Identical Binary Quantizer Design for Distributed Estimation. IEEE Trans. Signal Process. 60 (7) (2012)
Swarnendu Kar, Pramod K. Varshney, Hao Chen
Spatial Whitening Framework for Distributed Estimation CoRR (2012)
Hao Chen
A hierarchical model for distributed detection with conditionally dependent observations. SAM (2012)
Fangrong Peng, Hao Chen, Biao Chen
On energy detection for cooperative spectrum sensing. CISS (2012)
Swarnendu Kar, Hao Chen, Pramod K. Varshney
Optimal Identical Binary Quantizer Design for Distributed Estimation CoRR (2012)
Ge Xu, Hao Chen, Biao Chen
New results on distributed detection with dependent observations. GLOBECOM (2012)
Thakshila Wimalajeewa, Hao Chen, Pramod K. Varshney
Performance Limits of Compressive Sensing-Based Signal Classification. IEEE Trans. Signal Process. 60 (6) (2012)
Hao Chen, Biao Chen, Pramod K. Varshney
A New Framework for Distributed Detection With Conditionally Dependent Observations. IEEE Trans. Signal Process. 60 (3) (2012)
Pengfei Yang, Biao Chen, Hao Chen, Pramod K. Varshney
Tandem distributed detection with conditionally dependent observations. FUSION (2012)
Keshav Agrawal, Aditya Vempaty, Hao Chen, Pramod K. Varshney
Target localization in Wireless Sensor Networks with quantized data in the presence of Byzantine attacks. ACSCC (2011)
Aditya Vempaty, Keshav Agrawal, Hao Chen, Pramod K. Varshney
Adaptive learning of Byzantines' behavior in cooperative spectrum sensing. WCNC (2011)
Mukul Gagrani, Pranay Sharma, Satish G. Iyengar, V. Sriram Siddhardh Nadendla, Aditya Vempaty, Hao Chen, Pramod K. Varshney
On noise-enhanced distributed inference in the presence of Byzantines. Allerton (2011)
Hao Chen, Uri Rogers
Uniformly most powerful distributed detection and its application in cooperative spectrum sensing. ACSCC (2011)
Min Xu, Hao Chen, Pramod K. Varshney
An Image Fusion Approach Based on Markov Random Fields. IEEE Trans. Geosci. Remote. Sens. 49 (12) (2011)
Ankit Singh Rawat, Priyank Anand, Hao Chen, Pramod K. Varshney
Collaborative Spectrum Sensing in the Presence of Byzantine Attacks in Cognitive Radio Networks. IEEE Trans. Signal Process. 59 (2) (2011)
Swarnendu Kar, Pramod K. Varshney, Hao Chen
Spatial whitening framework for distributed estimation. CAMSAP (2011)
V. Sriram Siddhardh Nadendla, Hao Chen, Pramod K. Varshney
Minimax games for cooperative spectrum sensing in a centralized cognitive radio network in the presence of interferers. MILCOM (2011)
Hao Chen, Pramod K. Varshney, Biao Chen
A novel framework for distributed detection with dependent observations. ICASSP (2010)
Renbin Peng, Hao Chen, Pramod K. Varshney
Noise-refined image enhancement using multi-objective optimization. CISS (2010)
Priyank Anand, Ankit Singh Rawat, Hao Chen, Pramod K. Varshney
Collaborative spectrum sensing in the presence of Byzantine attacks in Cognitive Radio Networks. COMSNETS (2010)
Hao Chen, Pramod K. Varshney
Nonparametric one-bit quantizers for distributed estimation. IEEE Trans. Signal Process. 58 (7) (2010)
Ankit Singh Rawat, Priyank Anand, Hao Chen, Pramod K. Varshney
Countering byzantine attacks in cognitive radio networks. ICASSP (2010)
Hao Chen, Pramod K. Varshney
Performance limit for distributed estimation systems with identical one-bit quantizers. IEEE Trans. Signal Process. 58 (1) (2010)
Hao Chen, Pramod K. Varshney
Response to the comments "Contrast sensitivity function - A Correction" by Y. Han, X. Xu and Y. Cai. Inf. Fusion 11 (4) (2010)
Jin Xu, Hao Chen, Biao Chen
New Observations on Interference Channels under Strong and Very Strong Interference. GLOBECOM (2010)
Hao Chen, Pramod K. Varshney, Steven M. Kay, James H. Michels
Noise Enhanced Nonparametric Detection. IEEE Trans. Inf. Theory 55 (2) (2009)
Renbin Peng, Hao Chen, Pramod K. Varshney
Noise-Enhanced Detection of Micro-Calcifications in Digital Mammograms. IEEE J. Sel. Top. Signal Process. 3 (1) (2009)
Hao Chen, Biao Chen, Pramod K. Varshney
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 55 (2) (2009)
Min Xu, Hao Chen, Pramod K. Varshney
Registration of high-dimensional remote sensing data based on a new dimensionality reduction rule. ICIP (2009)
Hao Chen, Pramod K. Varshney, Biao Chen
Conditional dependence in distributed detection: How far can we go? ISIT (2009)
Min Xu, Hao Chen, Pramod K. Varshney
Ziv-zakai bounds on image registration. IEEE Trans. Signal Process. 57 (5) (2009)
Hao Chen, Pramod K. Varshney, James H. Michels
Improving Sequential Detection Performance Via Stochastic Resonance. IEEE Signal Process. Lett. 15 (2008)
Hao Chen, Pramod K. Varshney
Theory of the Stochastic Resonance Effect in Signal Detection - Part II: Variable Detectors. IEEE Trans. Signal Process. 56 (10-2) (2008)
Hao Chen, Pramod K. Varshney, Biao Chen
Cooperative relay for decentralized detection. ICASSP (2008)
Renbin Peng, Pramod K. Varshney, Hao Chen, James H. Michels
Digital mammogram enhancement based on ROI enhancement and background suppression. Medical Imaging: Image Processing (2008)
Min Xu, Hao Chen, Pramod K. Varshney
A novel approach for image fusion based on Markov Random Fields. CISS (2008)
Hao Chen, Pramod K. Varshney
Nonparametric one-bit quantizers for distributed estimation. ISIT (2008)
Hao Chen, Pramod K. Varshney, James H. Michels
Noise Enhanced Parameter Estimation. IEEE Trans. Signal Process. 56 (10-2) (2008)
Hao Chen, Pramod K. Varshney
A human perception inspired quality metric for image fusion based on regional information. Inf. Fusion 8 (2) (2007)
Yingxuan Zhu, Pramod K. Varshney, Hao Chen
Evaluation of ICA based fusion of hyperspectral images for color display. FUSION (2007)
Hao Chen, Pramod K. Varshney, Steven M. Kay, James H. Michels
Theory of the Stochastic Resonance Effect in Signal Detection: Part I-Fixed Detectors. IEEE Trans. Signal Process. 55 (7-1) (2007)
Bin Liu, Satish G. Iyengar, Hao Chen, James H. Michels, Pramod K. Varshney
Sensor fusion enhancement via optimized stochastic resonance at local sensors. FUSION (2007)
Yingxuan Zhu, Pramod K. Varshney, Hao Chen
Dimensionality Reduction of Hyperspectral Images for Color Display using Segmented Independent Component Analysis. ICIP (4) (2007)
Steven M. Kay, James H. Michels, Hao Chen, Pramod K. Varshney
Reducing Probability of Decision Error Using Stochastic Resonance. IEEE Signal Process. Lett. 13 (11) (2006)
Hao Chen, Pramod K. Varshney, James H. Michels, Steven M. Kay
Can addition of noise improve distributed detection performance? FUSION (2006)
Hao Chen, Pramod K. Varshney, Steven Kay, James H. Michels
Improving Nonparametric Detectors via Stochastic Resonance. CISS (2006)
Hao Chen, Pramod K. Varshney, James H. Michels, Steven M. Kay
Approaching Near Optimal Detection Performance via Stochastic Resonance. ICASSP (3) (2006)
Hao Chen, Pramod K. Varshney
Feature subset selection with applications to hyperspectral data. ICASSP (2) (2005)