2022 |
- H Ngo*, H Fang+, H Wang. Occluded Objection Detection using Collaborative LIDAR Point Cloud Image Data for V2V network. IEEE Transactions on Vehicular Technology. Accepted
- H Ngo*, H Fang+, H Wang. Intelligent fuzzifier-based cluster validation for incomplete longitudinal digital trial data. IEEE/ACM Conference on Connected Health Applications, Systems, and Engineering Technologies (IEEE/ACM CHASE 2022). Accepted
- SV Balkus*, Fang H+, Wang H. Federated Fuzzy Clustering for Longitudinal Health Data. IEEE/ACM Conference on Connected Health Applications, Systems, and Engineering Technologies (IEEE/ACM CHASE 2022). Accepted
- CS Mahabal**, H Fang+, H Wang, On-Ramp Merging for Connected Autonomous Vehicles using Deep Reinforcement Learning. The 15th IEEE International Conference on Internet of Things (iThings-2022), DOI: 10.1109/iThings-GreenCom-CPSCom-SmartData-Cybermatics55523.2022.00048.
- H Fang, H Wang. Chapter 1.2. Intelligent behavioral trajectory pattern recognition for longitudinal trials. Computational Intelligence and Image Processing for Medical Applications, C.H. Chen (Ed). DOI: 10.1142/9789811257452_0002
- CS Mahabal** H Wang, HFang+, Dual Mode Localization Assisted Beamforming for mmWave V2V Communication. IEEE Transactions on Vehicular Technology. DOI: 10.1109/TVT.2022.3175165
- VS Gurugubelli*, H Fang+, JM Shikany, SV Balkus*, J Rumbut*, HX Ngo*, H Wang, JJ Allison, LM Steffen. A review of harmonization methods for studying dietary patterns. Elsevier. Vol 23. Available online 13 January 2022.DOI: 10.1016/j.smhl.2021.100263. NIHMS1779312.
- J Rumbut*, H Fang+, S Carreiro, D Smelson, E Boyer, An overview of wearable biosensor systems for real-time substance use detection. IEEE Internet of Things Journal. 9(23), 23405 - 23415, DOI: 10.1109/JIOT.2022.3207090.
- SV Balkus*, H Wang, BD Cornet*, CS Mahabal**, HX Ngo*, H Fang+,A Survey of Machine Learning Methods for 5G Vehicle-to-Vehicle Communications. IEEE Communications Surveys & Tutorials. (IF: 25.249) DOI: 10.1109/COMST.2022.3149714
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2021 |
- S Bruendl*, H Fang+, H Wang, EW Boyer. EDA-based data stream pattern analysis and peak detection algorithm for substance users. 2021 IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE). DOI: 10.1109/CHASE52844.2021.00017
- CS Mahabal**, H Fang+, H Wang, Q Yang. Adaptive Vehicle Platooning With Joint Network-Traffic Approach. GLOBECOM2021. DOI: 10.1109/GLOBECOM46510.2021.9685116
- SV Balkus*, H Fang+, J Rumbut*, A Moormann, E Boyer, A multi-level biosensor-based epidemic simulation model for COVID-19. IEEE Internet of Things Journal. DOI: 10.1109/JIOT.2021.3127804
- H Fang, Patent “System and methods for trajectory pattern recognition”, US20160358040A1, issued on June 1st, 2021.
- HX Ngo*, H Fang+, H Wang. Beamforming and scalable image processing in vehicle-to-vehicle Networks. Journal of Signal Processing Systems. Springer. DOI: 10.1007/s11265-021-01696-6
- SV Balkus*,H Fang+, Multi-Level Biosensor-Based Epidemic Forecasting in Small Areas. Section on Statistical Learning and Data Science. 2021 Joint Statistical Meetings (JSM). American Statistical Association, 2021.
- Yang Q, Fu S, Wang H, Fang H. Machine learning enabled cooperative perception for connected autonomous vehicles: Challenges and Opportunities. IEEE Network Magazine. DOI: 10.1109/MNET.011.2000560
- BD Cornet*, H Fang+, HX Ngo*, EW Boyer, H, Wang. An Overview of wireless body area networks for mobile health applications. IEEE Network Magazine.
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2020 |
- J Rumbut*, Fang H+, Wang H. Topic modeling for systematic review of visual analytics in incomplete longitudinal behavioral trial data. Smart Health. Elsevier. 2020 Nov;18:100142. doi: 10.1016/j.smhl.2020.100142. Epub 2020 Nov 13. PMCID: PMC7745978. NIHMSID: 1649927.
- BD Cornet*, H Fang+, H, Wang. Overview of quantum technologies, standards, and applications in mobile devices. ACMGetMobile. 2021, 24(4), 5-9. doi:10.1145/3457356.3457358.
- HX Ngo*, H Fang+, H Wang. Deep Learning-based adaptive beam forming for 5G mmWave Wireless body area network. GLOBECOM2020. doi: 10.1109/GLOBECOM42002.2020.9322515 (Best Paper Award)
- CS Mahabal**, H Fang+, H Wang, Smart Spectrum Switching and Beamforming for Wireless Body Area Networks in Dynamic Environment. GLOBECOM2020. DOI: 10.23919/JCIN.2020.9130436
- SV Balkus*, J Rumbut*, H Wang H Fang+. An Adaptive and dynamic biosensor epidemic model for COVID19. 21st IEEE International Conference on Information Reuse and Integration. IEEE IRI 2020. DOI: 10.1109/IRI49571.2020.00051
- S Bruendl*, H Fang+, HX Ngo*, EW Boyer H Wang. A new emulation platform for real-time machine learning in substance use data stream. 21st IEEE International Conference on Information Reuse and Integration. IEEE IRI 2020. DOI: 10.1109/IRI49571.2020.00054
- MD N Anjum, H Wang, HFang, "Prospects of 60 GHz mmWave WBAN: A PHY-MAC Joint Approach," IEEE Transactions on Vehicular Technology. 69(6), 6153-6164. 2020. DOI: 10.1109/TVT.2020.2978332.
- J Rumbut*, H Fang+, Towards an Adaptive Algorithm for Online Substance Use Episode Detection, Section on Statistical Learning and Data Science. 2020 Joint Statistical Meetings (JSM). American Statistical Association, 2020.
- VS Gurugubelli*, H Fang+, Validation of Neuro-Fuzzy based classifiers for outcome from longitudinal RCT, Section on Statistical Learning and Data Science. 2020 Joint Statistical Meetings (JSM). American Statistical Association, 2020.
- S Bruendl*, H. Fang+, Making the Switch to 5G and 60GHz in mHealth applications using USRP hardware, IEEE Internet Computing. 24(2). 57-64. doi: 10.1109/MIC.2019.2962797
- J Rumbut*, H Fang+, S Carreiro, D Smelson, B Chapman, E Boyer, H Wang. Harmonizing wearable biosensor data streams to test polydrug detection. In 2020 International Conference on Computing, Networking and Communications (ICNC): Cloud Computing and Big Data.DOI: 10.1109/ICNC47757.2020.9049684
- MD N Anjum, H Wang, H Fang. Coverage Analysis of Random UAV Networks Using Percolation Theory. In 2020 International Conference on Computing, Networking and Communications (ICNC): Network Algorithms and Performance Evaluation. DOI: 10.1109/ICNC47757.2020.9049663
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2019 |
- H Fang. Data analytics for longitudinal biomedical data. Encyclopedia of Wireless Networks. DOI: 10.1007/978-3-319-78262-1_351
- H Wang, M Daneshmand, H Fang. Artificial Intelligence (AI) Driven Wireless Body Area Networks: Challenges and Directions. IEEE ICII2019.DOI: 10.1109/ICII.2019.00079
- S.Bruendl*, H Fang+. 60 GHz in WBAN and mm-Wave Technologies. Encyclopedia of Wireless Networks. DOI: 10.1007/978-3-319-78262-1_351
- Rumbut, J*.Fang, H+. Carreiro S, Singh D., Wang, H, Boyer E. Detecting Kratom Intoxication in Wearable Biosensor Data. IEEE/ACM CHASE 2019. DOI: 10.1109/CHASE48038.2019.00028
- VS Gurugubelli*, Fang H+, Wang, H. (2019) Neuro-Fuzzy classifier for behavioral intervention data 2019 International Conference on Computing, Networking and Communications (ICNC): Cloud Computing and Big Data. IEEE ICNC2019 DOI: 10.1109/ICCNC.2019.8685574
- Z. Li** H. Fang, H. Wang, M. Daneshmand, (2019)"A Data-Centric Cognitive Gateway with Distributed MIMO for Future Smart Homes,"IEEE Wireless Communication Magazine, 26(3), 40-46 10.1109/MWC.2019.1800358
- Md Shaad Mahmud**, H. Fang+, H. Wang, "An Integrated Wearable Sensor for Unobtrusive, Continuous Measurement of Autonomic Nervous System," IEEE Internet of Things Journal, 6(1), 1104-1113, 2019. DOI: 10.1109/JIOT.2018.2868235.
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2018 |
- Fang H, Invited talk, MIFuzzy for incomplete longitudinal data pattern recognition, Department of Biomedical Data Science, Geisel School of Medicine, Dartmouth College, New Hampshire.
- M. S. Mahmud*, H.Fang+, H Wang, S Carreiro, E Boyer. (2018) Wearables Technology for Drug Abuse Detection: A Survey of Recent Advancement, 13, Smart Health (Elsevier). DOI: 10.1016/j.smhl.2018.09.002.
- VS Gurugubelli*, Li Z**, H Wang, H Fang+.(2018) eFCM: An Enhanced Fuzzy C-Means Algorithm for Longitudinal Intervention Data, IEEE ICNC2018. DOI: 10.1109/ICCNC.2018.8390419. PMCID: PMC6428443 NIHMSID: NIHMS973824; PMID: 30906794
- VS Gurugubelli*, Li, Z**, Wang, H, Fang H+, (2018) A Computational Efficient Fuzzy Clustering Algorithm for Big Incomplete Longitudinal Trial Data 2018 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE). IEEE/ACM CHASE 2018. DOI: 10.1145/3278576.3278588
- T. Jiang, H. Fang, H. Wang,(2018) "Blockchain-based Internet of Vehicles: Distributed Network Architecture and Performance Analysis," in IEEE Internet of Things Journal, 2018. 10.1109/JIOT.2018.2874398
- M.S. Mahmud**, H. Wang, H. Fang, "SensoRing: An Integrated Wearable System for Continuous Measurement of Physiological Biomarkers” IEEE ICC2018. DOI: 10.1109/ICC.2018.8423001
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2017 |
- SS Kim, H Fang+, K Bernstein, Z Zhang, J DiFranza, D ZieDonis, J Allison, Acculturation, Depression, and Smoking Cessation: a trajectory pattern recognition approach. Tob Induc Dis, 2017, doi: 10.1186/s12971-017-0135-x, PMCID: PMC5525352
- Zhou, L**, Wang H, H.Fang+, " Group-Based Cooperation on Symmetric Key Generation for Wireless Body Area Networks," in IEEE Internet of Things Journal, 2017, 4(6): 1955-1963 doi: 10.1109/JIOT.2017.2761700.
- Haijia Wang*, Zitong Su*, H. Fang+. Simulating Normal and Abnormal ECG Signals in Children Age 0-16. 2017 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE), Accepted. DOI: 10.1109/CHASE.2017.103
- M. S. Mahmud, H. Wang, A. M. Esfar-E-Alam, H. Fang, "A Wireless Health Monitoring System Using Mobile Phone Accessories," IEEE Internet of Things Journal, 2017, accepted, doi: 10.1109/JIOT.2016.2645125
- Fang, H. MIFuzzy Clustering for Incomplete Longitudinal Data in Smart Health. Smart Health (Elsevier Journal). 1–2, pp. 50-65. DOI: 10.1016/j.smhl.2017.04.002. NIHMSID: 906898
- Fang, H., Z. Zhang*. An Enhanced Visualization Method to Aid Behavioral Trajectory Patten Recognition Infrastructure for Big Longitudinal Data. IEEE Transaction on Big Data. 2017, Accepted. DOI: 10.1109/TBDATA.2017.2653815. NIHMSID: 907513
- Wang H, Mahmud MS, Fang H, Wang C. Wireless Health. Springer. 2017. ISBN 978-3-319-47946-0.
- J. Wang* , Fang H+, B. Li and H. Wang, "Evaluate clustering performance and computational efficiency for PSO based fuzzy clustering methods in processing big imbalanced data," 2017 IEEE International Conference on Communications (ICC), Paris, 2017, pp. 1-6.doi: 10.1109/ICC.2017.7996802
- Wang CJ,* Fang H+ , Carreiro S, Wang H., Boyer E. A New Mining Method to Detect Real Time Substance Use Events from Wearable Biosensor Data Stream. Proceedings of International Conference on Computing, Networking and Communications: Social Computing and Semantic Data Mining, pp. 465-470. ICNC2017. NIHMSID: 907527
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2016 |
- Fang, H, Zhang Z,* Ash, A, Houston, T, Allison, J, Validating Engagement Trajectory Patterns in Mining Big Longitudinal Web Trial Data, 9th Annual Conference on the Science of Dissemination and Implementation. Washington, DC. 2016.
- Wang CJ,* Fang H+ , Carreiro S, Wang H., Boyer E. Detecting Real-time Substane Use from Wearable Biosensor Data Stream. Section on Statistical Learning and Data Mining. Joint Statistical Meetings, American Statistical Association. Chicago, IL, 2016.
- Zhang Z,* Fang H+ , Wang H. A New MI-based Visualization Aided Validation Index for Mining Big Longitudinal Web Trial Data. IEEE Access.4:2272-2280. DOI: 10.1109/ACCESS.2016.2569074. NIHMSID: 790905. PMID: 27482473. PMCID: PMC4963037.
- Zhang Z,* Fang H+ . Multiple- vs Non- or Single-Imputation based Fuzzy Clustering for Incomplete Longitudinal Behaviroal Intervention Data. Proceedings of 2016 IEEE first conference on Connected Health: Applications, Systems and Engineering Technologies (NIH & NSF jointly sponsored). DOI: 10.1109/CHASE.2016.19.
- Zhang Z,* Fang H,+ Wang H. Multiple Imputation based Clustering Validation (MIV) for Big Longitudinal Trial Data with Missing Values in eHealth. Journal of Medical System. 40 (6):1-9. DOI: 10.1007/s10916-016-0499-0. PMID: 27126063. PMCID: PMC4881752.
- Fang, H, Zhang Z,* Zhang J, Houston, T, Ash, A, Allison, J, Identifying & Visualizing Participants’ Engagement Trajectory Patterns in Large-Scale Web Behavioral Intervention, Society of Behavioral Medicine, Washington D.C.
- Carreiro, S, Wittbold, M., Premananda, I, Fang, H, Boyer, E. Non-Invasive Biosensors to Detect Physiologic Changes During Opioid Use, Society of Behavioral Medicine, Washington D.C.
- Wang CJ,* Fang H,+ Wang, H. ESammon: A Computationally Enhanced Sammon Mapping based on Data Density. Proceedings of International Conference on Computing, Networking and Communications, ICNC2016. 1-5. DOI: 10.1109/ICCNC.2016.7440696. PMID: 27668263. PMCID: PMC5033056
- Fang H, Wang H, Wang C, Daneshmand, M. Using Probabilistic Approach to Joint Clustering and Statistical Inference: Big Investment Data. IEEE BigData 2015. 2916 - 2918, DOI: 10.1109/BigData.2015.7364121.
- Wang CJ,* Fang H,+ Wang C, Daneshmand M, Wang H. A Novel Initialization Method for Particle Swarm Optimization-based FCM in Big Biomedical Data. IEEE BigData 2015. 2942 – 2944, DOI: 10.1109/BigData.2015.7364130.
- Zhang Z,* Fang H,+ Wang H. Visualization aided Engagement pattern validation for big longitudinal web behavior intervention data. 17th international Conference on E-health Networking, Application& Services. (IEEE Healthcom’15). 475-478, DOI: 10.1109/HealthCom.2015.7454549.
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2015 |
- Wang, C.J,* Fang, H., Wang, H. A Computationally Enhanced Fuzzy Clustering Method for Big Biomedical Data. Section on Statistical Learning and Data Mining, Joint Statistical Meeting, American Statistical Association. Seattle, WA.
- Fang, H, Wittbold, M., Zhang, J., Weng, S, Carreiro, S, Mullins, R, Boyer, E. Describing Real-time Substance-use Detection from Big Biosensor Data: A Case study of Cocaine Users, Health Behavior Methods and Measures paper session, Society of Behavioral Medicine, San Antonio, TX. (Abstract Citation Award)
- Fang, H, Zhang, Z.*, Wang, C.J.*, Wang, H., Ma, Y. Using Visualization-aided Trajectory Pattern Validation in a Longitudinal Dietary Data. Health Behavior Methods and Measures paper session , Society of Behavioral Medicine, San Antonio, TX.
- Fang H., Kim, S., Zhang, Z.*, DiFranza, J., Ziedonis, D., Allison, J. A Visualization-aided Trajectory Pattern Recognition Approach to Smoking and Depression among Asian Americans. Society for Research on Nicotine and Tobacco, Philadelphia, PA.
- Fang H., Allison, J. Zhang, Z.*, Ash, A. A new look at behavioral interventions: Trajectory pattern recognition approach. 7th Annual Conference on the Science of Dissemination and Implementation, Bethesda, MD
- Zhang Z *, Wang H., Wang C., Fang H., "Cluster-based Epidemic Control Through Smartphone-based Body Area Network," IEEE Transactions on Parallel and Distributed Systems (TPDS), March 2015, 26(3), PMID: 25741173.
- Zhang Z*, Wang H., Wang C., Fang H., Modeling Epidemics Spreading on Social Contact Networks. IEEE Transactions on Emerging Topics in Computing. doi:10.1109/TETC.2015.2398353. 2015, 3(3), 410-419.
- Wang CJ*, Fang H+, Wang H. DAG-searched and Density-based Initial Centroid Location Method for fuzzy clustering of big biomedical data. BICT2014. Feb, 2015, DOI: 10.4108/icst.bict.2014.257932.
- Fang H, Zhang Z*, Wang CJ*, Wang H. A Survey on Big Data Research. 2015. IEEE Network Magazine, 29 (5): 6-9. DOI: 10.1109/MNET.2015.7293298. PMID:26504265.
- Carreiro S, Fang H+, Zhang, J, Wittbold K, Weng S, Mullins R, Smelson D, Boyer EW. iMStrong: Deployment of a biosensor system to detect cocaine use. Journal of Medical System. 39(12):186. doi: 10.1007/s10916-015-0337-9. PMID: 26490144.
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2014 |
- Fang H., Invited Session Chair, Big Data in Smart Health: Models, Algorithms and Network. Institute of Mathematical Statistics & Section on Statistical Computing. Joint Statistical Meetings, American Statistical Association. Boston, MA, 2014
- Fang H., Zhang, Z.*, Huang, J*, Wang, CJ, Wang H. Validating patterns for longitudinal trial data. Section on Statistics in Epidemiology. Joint Statistical Meeting, American Statistical Association. Boston, MA, 2014
- Fang H. Zhang, Z.*, Wang H. An enhanced projection pursuit method to aid pattern recognition for longitudinal data. Section on Statistical Learning and Data Mining. Joint Statistical Meeting, American Statistical Association. Boston, MA, 2014
- Fang, H., Allison, J. Barton, B., Pagoto, S., Zhang, Z, Olendzki, G., Ma Y. Pattern Recognition Approach for Behavioral Interventions: An Application to a Dietary Trial, Philadelphia, Society of Behavioral Medicine. Ann Behav Med. 2014, in press.
- Fang H., Kim, S., DiFranza, J., Zhang, Z., Ziedonis, D., Allison, J. Pattern recognition approach to culturally-tailored behavioral interventions for smoking cessation: Dose and Timing. Society for Research on Nicotine and Tobacco, Seattle, WA, 2014.
- Kim S, Kwon, S., Fang H, Shelley, D., Ziedonis D. A Culturally Adapted Smoking Cessation Intervention for Korean Americans: A Mediating Effect of Perceived Family Norm toward Quitting. Journal of Immigrant and Minority Health. J Immigr Minor Health. 2014 May 31. [Epub ahead of print]. PMID: 24878686.
- Kim S, Fang H, Mckee S, Ziedonis D, Prospective Evaluation of Factors Predicting Nicotine withdrawal Symptoms among Korean Americans. Journal of Smoking Cession. Sept, 2014. DOI: http://dx.doi.org/10.1017/jsc.2014.20. Cambridge University Press.
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