IEEE Copyright Notice for the IEEE related materials posted in this website: Personal use of these materials is permitted. However, permission to reprint/republish these materials for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works, must be obtained from the IEEE.

CLICK HERE FOR SELECTED CONTRIBUTIONS BY CHRONOLOGICAL ORDER

 

SELECTED CONTRIBUTIONS BY RESEARCH AREAS

·       Finance, Marketing and Economics, and Big Data

·       Signal Processing Theory and Applications

§  Graph Signal Processing

§  Statistical Signal Processing – Detection, Estimation, Localization, Tracking with Applications in Radar, Communications, Sensor Networks and IoT

§  Wavelets, Filter Banks, Transforms and Applications

·       Multimedia Signal Processing, and Computer Vision

§  Multimedia Signal Processing (Image/Video/Speech/Audio), Computer Vision and Applications (Some with Machine Learning)

§  Signal Processing and Multimedia (Image/Video) Content Analysis based on Statistical and Graphical Models and Learning

§  Multimedia Security, Watermarking and Data Hiding

·       AR/VR/Metaverse/Robotics/Mobile Computing

·       Machine Learning (non-Graphical Models), Neural Networks with Applications

·       Miscellaneous

 

 

 

·       Finance, Marketing and Economics, and Big Data:

Publications:

o   Zhang, W., Li, X., Chen, Y., Ye, N., and Zhang, Xiao-Ping, “Effective online portfolio selection for the long-short market using mirror gradient descentIEEE Signal Processing Letters, vol. 30, pp. 913-917, July 2023. (DOI: 10.1109/LSP.2023.3296913) [PDF]

o   Zhai, G. and Zhang, Xiao-Ping,  “Probabilistic image quality assessment: an economics point of view2019 IEEE International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS), Taipei, Taiwan, December 3-6, 2019. (DOI: 10.1109/ISPACS48206.2019.8986227)

o   Fan, Q., Han, Y., and Zhang, Xiao-Ping, “A study of cross sectional stock returns using high-dimensional SUR model and many firm level characteristics,” in Proc. of 2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP2019), Ottawa, Canada, November 11–14, 2019.

o   Fan, Q., Hu, F., and Zhang, Xiao-Ping, “Double-selection based high-dimensional factor model with application in asset pricing,” in Proc. of 2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP2019), Ottawa, Canada, November 11–14, 2019.

o   Zhang, Xiao-Ping, “To the Victor Go the Spoils: AI in Financial MarketsIEEE Signal Processing Magazine, vol. 34, no. 6, pp. 171-176, November 2017. (DOI: 10.1109/MSP.2017.2738038)

o   Zhang, Xiao-Ping, and Kedmey, D., “A Budding Romance: Finance and AIIEEE MultiMedia, vol. 25, no. 4, pp. 79-83, 1 Oct.-Dec. 2018. (DOI: 10.1109/MMUL.2018.2875858) [PDF]

o   Zhang, Xiao-Ping, and Wang, F., “Signal Processing for Finance, Economics, and MarketingIEEE Signal Processing Magazine, Feature Article, vol. 34, no. 3, pp. 14-35, May 2017. (DOI: 10.1109/MSP.2017.2663138). (Tutorial Article [PDF].)

o   Mohammadi, A., Zhang, Xiao-Ping, and Plataniotis, K.N., “Interactive Gaussian-sum filtering for estimating systematic risk in financial econometrics,” in Proc. of 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP2017), Montreal, Canada, November 14–16, 2017. [PDF]

o   Fan, Q., Lei, W., and Zhang, Xiao-Ping, “The impact of sports sentiment on stock returns: a case study from professional sports leagues,” in Proc. of 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP2017), Montreal, Canada, November 14–16, 2017. [PDF]

o   Hanssens, D.M., Wang, F., and Zhang, Xiao-Ping, “Vigilant marketing: catching fleeting opportunities for growth spurtsApplied Marketing Analytics, vol. 3, no. 2, pp. 130-138, August 2017. (Article for executives).

o   Hanssens, D.M., Wang, F., and Zhang, Xiao-Ping, “Performance growth and opportunistic marketing spendingInternational Journal of Research in Marketing, vol. 33, no. 4, pp. 711-724, Dec. 2016. (DOI:10.1016/j.ijresmar.2016.01.008) Finalists for the IJRM 2016 Best Article Award! Included in Hanssens, Dominique M. (2018) Long-Term Impact of Marketing: A Compendium, World Scientific, ISBN: 978-981-3229-79-2.

o   Wang, F., and Zhang, Xiao-Ping, “The role of the Internet in changing industry competitionInformation & Management, vol. 52, no. 1, pp. 71-81, January 2015. [PDF]

o   Little, T., Zhang, Xiao-Ping, and Wang, F., “State Switching in US Equity Index Returns based on SETAR Model with Kalman Filter Tracking,” in Proc. of 2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP2015), Orlando, Florida, USA, December 14-16, 2015.

o   Han, J., Zhang, Xiao-Ping, and Wang, F., “Gaussian process regression stochastic volatility model for financial time seriesIEEE Journal of Selected Topics in Signal Processing, Special Issue on Financial Signal Processing and Machine Learning for Electronic Trading, vol. 10, no. 6, pp. 1015-1028, September 2016. (DOI: 10.1109/JSTSP.2016.2570738) [PDF].

o   Huang, C., Wang, F., and Zhang, Xiao-Ping, “Deciphering the brand value structure: new measures and business insights,” The Academy of Marketing Science 17th Biennial World Marketing Congress, ESAN, Lima, Peru, August 5-8, 2014.

o   Wang, F., Menon, K., Ranaweera, C., and Zhang, Xiao-Ping, “Online Product Ratings: Dynamic Trends and Diagnosticity Assessment Explanations,” The 2014 Academy of Marketing Science Annual Conference, Indianapolis, USA, May 21-23, 2014.

o   Rajbhandary, T., Zhang, Xiao-Ping, and Wang, F., “Piecewise constant modeling and Kalman filter tracking of systematic market risk,” in Proc. of 2013 IEEE Global Conference on Signal and Information Processing (GlobalSIP2013), Austin, Texas, USA, December 3-5, 2013.

o   Luan, V., Zhang, Xiao-Ping, and Wang, F., “Multifactor systematic risk analysis based on piecewise mean reverting model,” in Proc. of GlobalSIP2013, Austin, Texas, USA, December 3-5, 2013.

o   Zhang, Xiao-Ping, and Kedmey, D., “TechWare: Financial Data and Analytic ResourcesIEEE Signal Processing Magazine, vol. 28, no. 5, pp. 138-141, September 2011.

o   Wang, F., Zhang, Xiao-Ping, and Ouyang, M., “Does advertising create sustained firm value? The capitalization of brand intangibleJournal of the Academy of Marketing Science, vol. 37, no. 2, pp. 130-143, June 2009.

o   Wang, F., and Zhang, Xiao-Ping, “Reasons for market evolution and budgeting implicationsJournal of Marketing, vol. 72, no. 5, pp. 15-30, September 2008.

 

Patents:

 

Tutorials:

 

Webinars:

o   IEEE webinar: Applying Signal Processing and Machine Learning to Finance, Economics, and Marketing, August 21, 2018 from 12:00pm - 1:00pm (EDT). Click here to access online video recording of the webinar.

o   IEEE webinar: Fundamentals on Signal Processing for Finance and Economics, March 21, 2018 from 11:00am - 12:00pm (EDT). Click here to access online video recording of the webinar

 

 

 

Image result for go to top button

 

·       Signal Processing Theory and Applications

·       Graph Signal Processing:

o   Yang, C., Wang, F., Ye, M., Zhai, G., Zhang, Xiao-Ping, Stankovic, V., and Stankovic, L., “Model selection-inspired coefficients optimization for polynomial-kernel graph learning,” in Proc. of 2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), pp. 344-350, Tokyo, Japan, December 14-17, 2021.

o   Yang, C., Hu, M., Zhai, G., and Zhang, Xiao-Ping, “Graph-based denoising for respiration and heart rate estimation during sleep in thermal videoIEEE Internet of Things Journal, vol. 9, no. 17, pp. 15697-15713, September 2022. (DOI: 10.1109/JIOT.2022.3150147) [PDF]

o   Wang, Y., Yang, C., Hu, M., Zhang, J., Li, Q., Zhai, G., and Zhang, Xiao-Ping, “Identification of deep breath while moving forward based on multiple body regions and graph signal analysis,” in Proc. of ICASSP2021 (2021 IEEE International Conference on Acoustics, Speech and Signal Processing), Toronto, Canada, June 6-11, 2021.

o   Gavili, Adnan, and Zhang, Xiao-Ping, “On the shift operator, graph frequency and optimal filtering in graph signal processingIEEE Trans. on Signal Processing, vol. 65, no. 23, pp. 6303-6318, December 2017. (DOI: 10.1109/TSP.2017.2752689) [arXiv]

o   Li, J., Zhang, Xiao-Ping, Tran, T., “Point cloud denoising based on tensor Tucker decomposition,” in Proc. of ICIP2019 (2019 IEEE International Conf. on Image Processing), Taipei, Taiwan, September 22-25

 

·       Statistical Signal Processing – Detection, Estimation, Localization, Tracking with Applications in Radar, Communications, Sensor Networks and IoT:

Publications:

o   Liang, C., Li, J., Liu, S., Yang, F., Dong, Y., Song, J., Zhang, Xiao-Ping, and Ding, W., “Integrated sensing, lighting and communication based on visible light communication: a reviewDigital Signal Processing, vol. 145, pp. 1-21, February 2024. (DOI: 10.1016/j.dsp.2023.104340)

o   Zhao, Z., Zhang, L., Jiang, R., Zhang, Xiao-Ping, Tang, X., Dong, Y., “Joint beamforming scheme for ISAC systems via robust Cramιr-Rao bound optimizationIEEE Wireless Communications Letters, accepted to appear, December 2023. (DOI:10.1109/LWC.2024.3349488)

o   Chai, C. C., and Zhang, Xiao-Ping, “Unified probability distributions of composite fading for radio frequency and optical wireless channels,” in Proc. of 2023 IEEE Global Communications Conference (GLOBECOM2023), Kuala Lumpur, Malaysia, December 4-8, 2023.

o   Wang, W., Yu, X., Tong, X., Yu, R., Huang, S.-L., and Zhang, Xiao-Ping, “Robust deep joint source channel coding with time-varying noise,” in Proc. of 2023 IEEE Global Communications Conference (GLOBECOM2023), Kuala Lumpur, Malaysia, December 4-8, 2023

o   Xu, X., Peng, A., Hong, X., Zhang, Y., and Zhang, Xiao-Ping, “Multi-state constraint multipath-assisted positioning and mismatch alleviationIEEE Internet of Things Journal, accepted to appear, online published, November 2023. (DOI: 10.1109/JIOT.2023.3329147)

o   Li, R., Wang, X., Li, G. and Zhang, Xiao-Ping, “TEFISTA-Net: a learnable method for high-resolution range profile reconstruction with low-frequency ultra-wideband radarSignal Processing, vol. 214, p.109257, January 2024. (DOI: 10.1016/j.sigpro.2023.109257)

o   Yu, X., Wei, S., Ying, C. and Zhang, Xiao-Ping, “Constant scaling asymptotics of communication bounds in covert channels against selective adversary,” in Proc. of 2023 IEEE Military Communications Conference (MILCOM2023), pp. 319-324, Boston, MA, USA, October 30–November3, 2023.

o   Geng, Z., Tang, X., Zhang, Xiao-Ping, and Dong, Y., “Layered hybrid PAM-DMT for IM/DD OWC systemsOptics Express, vol. 31, no. 20, pp.32383-32392, September 2023. (DOI: 10.1364/OE.493545)

o   Mao, Y., Zhao, Z., Yang, M., Liang, L., Liu, Y., Ding, W., Lan, T., and Zhang, Xiao-Ping, “SAFARI: Sparsity-enabled federated learning with limited and unreliable communicationsIEEE Trans. on Mobile Computing, accepted to appear, online published, July 2023.  (DOI: 10.1109/TMC.2023.3296624)

o   Luo, J.-A., and Zhang, Xiao-Ping, “A novel range selective generalized weighted centroid method for source localization in bearing-only sensor networksIEEE Sensors Journal, accepted to appear, online published, June 2023. (DOI: 10.1109/JSEN.2023.3283998)

o   Chai, C. C., and Zhang, Xiao-Ping, “Iterative water-filling power and subcarrier allocation for multicarrier NOMA downlink,” in Proc. of ICASSP2023 (2023 IEEE International Conference on Acoustics, Speech and Signal Processing), Rhodes Island, Greece, June 4-10, 2023.

o   Zhang, Y., Li, G., Zhang, Xiao-Ping, and He, Y., “Transformer-based tracking network for maneuvering targets,” in Proc. of ICASSP2023 (2023 IEEE International Conference on Acoustics, Speech and Signal Processing), Rhodes Island, Greece, June 4-10, 2023.

o   Li, R., Wang, X., Li, G., and Zhang, Xiao-Ping, “TEFISTA-NET: GTD parameter estimation of low-frequency ultra-wideband radar via model-based deep learning,” in Proc. of ICASSP2023 (2023 IEEE International Conference on Acoustics, Speech and Signal Processing), Rhodes Island, Greece, June 4-10, 2023.

o   Tao, M., and Zhang, Xiao-Ping, “Study on 𝐿1 over 𝐿2 minimization for nonnegative signal recoveryJournal of Scientific Computing, vol. 95, no. 3, June 2023. (DOI: 10.1007/s10915-023-02225-2)

o   Zhang, B., Jiang, B., Zheng, R., Zhang, Xiao-Ping, Li, J., and Xu, Q., “Pi-ViMo: Physiology-inspired robust vital sign monitoring using mmWave radars ACM Trans. Internet of Things, accepted to appear, online published, March 2023. (DOI: 10.1145/3589347)

o   Gao, Y., Min, X., Zhu, Y., Li, J., Zhang, Xiao-Ping, and Zhai, G., “Image quality score distribution prediction via alpha stable modelIEEE Transactions on Circuits and Systems for Video Technology, vol. 33, no. 6, pp. 2656-2671, June 2023. (DOI: 10.1109/TCSVT.2022.3229839) [PDF]

o   Kang, Y., Wang, H., Kim, B., Xie, J., Zhang, Xiao-Ping, and Han, Z., “Time efficient offloading optimization in automotive multi-access edge computing networks using mean-field gamesIEEE Transactions on Vehicular Technology, vol 72, no. 5, pp. 6460-6473, May 2023. (DOI: 10.1109/TVT.2022.3229888) [PDF]

o   Chen, D., Zhu, Y., Wang, D., Wang, H., Xie, J., Zhang, Xiao-Ping, and Han, Z., “Love of variety-based latency analysis for high definition map updating: age of information and distributional robust perspectivesIEEE Transactions on Intelligent Vehicles, Special Issue on Digital Twins and Parallel Intelligence for Intelligent Vehicles and Intelligent Transportation Systems, vol. 8, no. 2, pp. 1751-1764, Feb. 2023. (DOI: 10.1109/TIV.2022.3224655) [PDF]

o   Manjunath, Y., Zhao, S., Abou-Zeid, H., Bin Sediq, A., Atawia, R., and Zhang, Xiao-Ping, “Segmented learning for class-of-service network traffic classification,” in Proc. of 2022 IEEE Global Communications Conference (GLOBECOM2022), Rio de Janeiro, Brazil, December 4-8, 2022.

o   Li, S., Zhang, Xiao-Ping, Ruan, D.-L., and Zeng, H., “Increasing the uniform degrees of freedom for moving q-dilated arraysIEEE Internet of Things Journal, vol. 10, no. 1, pp. 194-209, January 2023. (DOI: 10.1109/JIOT.2022.3200955) [PDF]

o   Zhu, D., Wang, X., Li, G., and Zhang, Xiao-Ping, “Vessel detection via multi-order saliency-based fuzzy fusion of spaceborne and airborne SAR imagesInformation Fusion, vol. 89, pp. 473-485, January 2023. (DOI: 10.1016/j.inffus.2022.08.022)

o   Wang, Y., Yan, X., Guan, D., Wei, M., Chen, Y., Zhang, Xiao-Ping, and Li, J., “Cycle-SNSPGAN: Towards real-world image dehazing via cycle spectral normalized soft likelihood estimation patch GANIEEE Trans. on Intelligent Transportation Systems, vol. 23, no. 11, pp. 20368-20382, Nov. 2022. (DOI: 10.1109/TITS.2022.3170328) [PDF]

o   Zhao, S., Guo, N., Zhang, Xiao-Ping, Cui, X., and Lu, M., “Sequential Doppler shift based optimal localization and synchronization with TOAIEEE Internet of Things Journal, vol. 9, no. 17, pp. 16234-16246, September 2022. (DOI: 10.1109/JIOT.2022.3150564) [PDF]

o   Li, Y., Li, G., Liu, Y., Zhang, Xiao-Ping, and He, Y., “A hybrid SVSF algorithm for automotive radar trackingIEEE Trans. on Intelligent Transportation Systems, vol. 23, no. 9, pp. 15028-15042, September 2022.. (DOI: 10.1109/TITS.2021.3136170) [PDF]

o   Zhang, W., Zhang, J., Bao, M., Zhang, Xiao-Ping, and Li, X., “Multi-target tracking based on dynamic Bayesian network with reparameterized approximate variational inference IEEE Internet of Things Journal, vol. 9, no. 13, pp. 11542-11559, July 2022. (DOI: 10.1109/JIOT.2021.3131308) [PDF]

o   Chai, C. C., and Zhang, Xiao-Ping, “Iterative water-filling power and subcarrier allocation for multicarrier non-orthogonal multiple access uplink,” in Proc. of ISIT2022 (2022 IEEE International Symposium on Information Theory), Espoo, Finland, June 26 - July 1, 2022.

o   Li, Y., Li, G., Liu, Y., Zhang, Xiao-Ping, and He, Y., “A novel smooth variable structure filter for target tracking under model uncertaintyIEEE Trans. on Intelligent Transportation Systems, vol. 23, no. 6, pp. 5823-5839, June 2022. (DOI: 10.1109/TITS.2021.3058806) [PDF]

o   Guo, N., Zhao, S., Zhang, Xiao-Ping, Yao, Z., Cui, X., and Lu, M., “New closed-form joint localization and synchronization using sequential one-way TOAsIEEE Trans. on Signal Processing, vol. 70, pp. 1657-1672, May 2022. (DOI: 10.1109/TSP.2022.3168363) [PDF]

o   Zhao, W., Zhang, J.-K., Zhang, Xiao-Ping, and Zheng, R., “Multiple-target localization by millimeter-wave radars with trapezoid virtual antenna arraysIEEE Internet of Things Journal, vol. 9, no. 20, pp. 19589-19598, October 2022. (DOI: 10.1109/JIOT.2022.3167916) [PDF]

o   Zhang, J., Bao, M., Zhang, Xiao-Ping, Chen, Z., and Yang, J., “DOA estimation for heterogeneous wideband sources based on adaptive space-frequency joint processingIEEE Trans. on Signal Processing, vol. 70, pp. 1657-1672, April 2022. (DOI: 10.1109/TSP.2022.3160802) [PDF]

o   Li, Y., Li, G., Liu, Y., Zhang, Xiao-Ping, and He, Y., “Statically fused smooth variable structure filter for robust tracking with Doppler radar,” in Proc. of 2022 IEEE Radar Conference (RadarConf22), New York City, USA, March 21-25, 2022.

o   Zhang, W., Tong, J., Bao, M., Zhang, Xiao-Ping, and Li, X., “Wideband multi-target tracking based on dynamic Bayesian network learning in an acoustic sensor array network IEEE Internet of Things Journal, vol. 9, no. 6, pp. 4769-4787, March 2022. (DOI: 10.1109/JIOT.2021.3108528) [PDF]

o   Zhao, S., Guo, N., Zhang, Xiao-Ping, Cui, X., and Lu, M., “Closed-form two-way TOA localization and synchronization for user devices with motion and clock drift IEEE Signal Processing Letters, vol. 29, pp. 100-104, January 2022. (DOI: 10.1109/LSP.2021.3127486) [PDF]

o   Jiang, X., Li, G, Zhang, Xiao-Ping, and He, Y., “A semisupervised Siamese network for efficient change detection in heterogeneous remote sensing imagesIEEE Trans. on Geoscience and Remote Sensing, vol. 60, pp. 1-18, January 2022. (DOI: 10.1109/TGRS.2021.3061686) [PDF]

o   Zhao, S., Abou-Zeid, H., Atawia, R., Manjunath, Y., Bin Sediq, A., and Zhang, Xiao-Ping, “Virtual reality gaming on the cloud: a reality check,” in Proc. of 2021 IEEE Global Communications Conference (GLOBECOM2021), Madrid, Spain, December 7-11, 2021.

o   Han, J., Li, G., and Zhang, Xiao-Ping, “One-bit radar imaging via adaptive binary iterative hard thresholdingIEEE Trans. on Computational Imaging, vol. 7, pp. 1005-1017, September 2021. (DOI: 10.1109/TCI.2021.3113113) [PDF]

o   Wang, X., Zhu, D., Li, G., and Zhang, Xiao-Ping, “A new image fusion method for ship target enhancement in spaceborne and airborne SAR collaborationin Proc. of 24th International Conference on Information Fusion (FUSION2021), Sun City, South Africa, November 1- 4, 2021.

o   Wang, X., Zhu, D., Li, G., Zhang, Xiao-Ping, and He, Y., “Proposal-copula-based fusion of spaceborne and airborne SAR images for ship target detectionInformation Fusion, vol. 77, pp. 247-260, January 2022. (DOI: 10.1016/j.inffus.2021.07.019) [PDF]

o   Zhao, S., Zhang, Xiao-Ping, Cui, X., and Lu, M., “Optimal two-way TOA localization and synchronization for moving user devices with clock drift IEEE Transactions on Vehicular Technology, vol. 70, no. 8, pp. 7778-7789, August 2021. (DOI: 10.1109/TVT.2021.3092255) [PDF]

o   Jiang, Z., Li, G., Zhang, Xiao-Ping, and He, Y., “Space-time adaptive processing by employing structure-aware two-level block sparsityIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 14, pp. 6386-6397, June 2021. (DOI: 10.1109/JSTARS.2021.3090069) [PDF]

o   Li, S., and Zhang, Xiao-Ping, “Dilated arrays: A family of  sparse  arrays with increased uniform degrees of freedom and reduced mutual coupling on a moving platformIEEE Trans. on Signal Processing, vol. 69, pp. 3367–3382, May 2021. (DOI: 10.1109/TSP.2021.3083988) [PDF]

o   Zhu, D., Wang, X., Li, G., and Zhang, Xiao-Ping, “Fusion of spaceborne and airborne SAR images using saliency and fuzzy logic for vessel detection,” in Proc. of 2021 IEEE International Geoscience and Remote Sensing Symposium (IGARSS2021), Brussels, Belgium, July 12-14, 2021.

o   Wang, X., Li, G., Zhang, Xiao-Ping, and He, Y., “A fast CFAR algorithm based on density-censoring operation for ship detection in SAR imagesIEEE Signal Processing Letters, vol. 28, pp. 1085-1089, May 2021. (DOI: 10.1109/LSP.2021.3082034) [PDF]

o   Han, J., Li, G., Wang, K., Duan, M., and Zhang, Xiao-Ping, “1-bit radar imaging based on adversarial samplesIEEE Trans. on Geoscience and Remote Sensing, vol. 60, pp. 1-13, January 2022. (DOI: 10.1109/TGRS.2021.3073159) [PDF]

o   Manjunath, Y., Zhao, S., and Zhang, Xiao-Ping, “Time-distributed feature learning in network traffic classification for Internet of things,” in Proc. of 2021 IEEE World Forum on Internet of Things (WF-IoT2021),  New Orleans, USA, June 20-24, 2021.

o   Zhao, S., Zhang, Xiao-Ping, Cui, X., and Lu, M., “Semidefinite programming two-way TOA localization for user devices with motion and clock drift IEEE Signal Processing Letters, vol. 28, pp. 578-582, March 2021. (DOI: 10.1109/LSP.2021.3064755) [PDF]

o   Zhao, S., Zhang, Xiao-Ping, Cui, X., and Lu, M., “Optimal TOA localization for moving sensor in asymmetric network,” in Proc. of ICASSP2021 (2021 IEEE International Conference on Acoustics, Speech and Signal Processing), Toronto, Canada, June 6-11, 2021.

o   Zhao, S., Zhang, Xiao-Ping, Cui, X., and Lu, M., “A new TOA localization and synchronization system with virtually synchronized periodic asymmetric ranging network IEEE Internet of Things Journal, vol. 8, no. 11, pp. 9030-9044, June 2021. (DOI: 10.1109/JIOT.2021.3055677) [PDF]

o   Zhao, S., Zhang, Xiao-Ping, Cui, X., and Lu, M., “Optimal localization with sequential pseudorange measurements for moving users in a time division broadcast positioning system IEEE Internet of Things Journal, vol. 8, no. 11, pp. 8883-8896, June 2021. (DOI: 10.1109/JIOT.2021.3055680) [arXiv]

o   Zhu, D., Li, G., and Zhang, Xiao-Ping, “Source localization based on hybrid coarray for one-dimensional mirrored interferometric aperture synthesisIEEE Trans. on Geoscience and Remote Sensing, vol. 60, pp. 1-14, January 2022. (DOI: 10.1109/TGRS.2021.3061447) [PDF]

o   Zhao, S., Zhang, Xiao-Ping, Cui, X., and Lu, M., “A closed-form localization method utilizing pseudorange measurements from two non-synchronized positioning systemsIEEE Internet of Things Journal, vol. 8, no. 2, pp. 1082-1094, January 2021. (DOI: 10.1109/JIOT.2020.3010479) [PDF]

o   Jiang, Z., He, Y., Li, G., and Zhang, Xiao-Ping, “Robust STAP detection based on volume cross-correlation function in heterogeneous environmentsIEEE Geoscience and Remote Sensing Letters, vol. 19, pp. 1-5, January 2022. (DOI: 10.1109/LGRS.2020.3019580) [PDF]

o   Li, S., and Zhang, Xiao-Ping, “A new approach to construct virtual array with increased degrees of freedom for moving sparse arraysIEEE Signal Processing Letters, vol. 27, pp. 805-809, May 2020. (DOI: 10.1109/LSP.2020.2993956) [PDF]

o   Zhang, J., Xu, X., Chen, Z., Bao, M., Zhang, Xiao-Ping, and Yang, J., “High-resolution DOA estimation algorithm for a single acoustic vector sensor at low SNRIEEE Trans. on Signal Processing, vol. 68, pp. 6142-6158, September 2020. (DOI: 10.1109/TSP.2020.3021237) [PDF]

o   Wang, X., Li, G., Zhang, Xiao-Ping, and He, Y., “Ship detection in SAR Images via local contrast of Fisher vectorsIEEE Trans. on Geoscience and Remote Sensing, vol. 58, no. 9, pp. 6467-6479, September 2020. (DOI: 10.1109/TGRS.2020.2976880) [PDF]

o   Zhang, Y., Chen, X., Xu, H., Zhang, Xiao-Ping, and Qi, F., “Fast acceleration and velocity estimation for wideband stretching LFM radars based on mutual bias correctionIEEE Sensors Journal, vol. 20, no. 15, pp. 8683-8697, August 2020. (DOI: 10.1109/JSEN.2020.2983839) [PDF]

o   Han, J., Li, G., and Zhang, Xiao-Ping, “Refocusing of moving targets based on low-bit quantized SAR data via parametric quantized iterative hard thresholdingIEEE Transactions on Aerospace and Electronic Systems, vol. 56, no. 3, pp. 2198-2211, June 2020. (DOI: 10.1109/TAES.2019.2944707) [PDF]

o   Jiang, X., He, Y., Li, G, Liu, Y., and Zhang, Xiao-Ping, “Change detection in heterogeneous optical and SAR remote sensing images via deep homogeneous feature fusionIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Special Issue on Deep Learning for Remote Sensing Image Scene Classification, vol. 13, pp. 1551-1566, April 2020. (DOI: 10.1109/JSTARS.2020.2983993) [arXiv]

o   Wang, X., Li, G., and Zhang, Xiao-Ping, “Contrast of contextual Fisher vectors for ship detection in SAR images,” in Proc. of  2020 IEEE International Radar Conference, Washington DC, USA, April 27 - 30, 2020.

o   Li, S., and  Zhang, Xiao-Ping, “A novel moving sparse array geometry with increased degrees of freedom,” in Proc. of  ICASSP2020 (2020 IEEE International Conference on Acoustics, Speech and Signal Processing), Barcelona, Spain, May 4-8, 2020.

o   Zhu, D., Li, G., and Zhang, Xiao-Ping, “Mirrored arrays for direction-of-arrival estimation,” in Proc. of  ICASSP2020 (2020 IEEE International Conference on Acoustics, Speech and Signal Processing), Barcelona, Spain, May 4-8, 2020.

o   Chen, G., Li, G., Liu, Y., Zhang, Xiao-Ping, and Zhang, L., “SAR image despeckling based on combination of fractional-order total variation and nonlocal low rank regularizationIEEE Trans. on Geoscience and Remote Sensing, vol. 58, no. 3, pp. 2056-2070, March 2020. (DOI: 10.1109/TGRS.2019.2952662) [PDF]

o   Jiang, X., He, Y., Li, G., Liu, Y., and Zhang, Xiao-Ping, “Building damage detection via superpixel-based belief fusion of space-borne SAR and optical imagesIEEE Sensors Journal, vol. 20, no. 4, pp. 2008-2022, February 2020. (DOI: 10.1109/JSEN.2019.2948582) [PDF]

o   Luo, J.-A., Shao, H.-X., Peng, D.-L., and Zhang, Xiao-Ping, “A novel subspace approach for bearing-only target localizationIEEE Sensors Journal, vol. 19, no. 18, pp. 8174-8182, September 2019. (10.1109/JSEN.2019.2919899) [PDF]

o   Zhang, Y., Xu, H., Zhang, Xiao-Ping, Liu, H., Deng, Z., and Fu, M., “A wideband/narrowband fusion based motion estimation method for maneuvering targetIEEE Sensors Journal, vol. 19, no. 18, pp. 8095-8106, September 2019. (DOI: 10.1109/JSEN.2019.2916930) [PDF]

o   Han, J., Li, G., and Zhang, Xiao-Ping, “Parametric quantized iterative hard thresholding for SAR moving target refocusing based on low-bit-rate quantized data,” in Proc. of 2019 IEEE Radar Conference (RadarConf2019), Boston, USA, April 22-26, 2019.

o   Jiang, Z., Li, G., Wang, X., Zhang, Xiao-Ping, He, Y., “STAP based on two-level block sparsity,” in Proc. of 2019 IEEE Radar Conference (RadarConf2019), Boston, USA, April 22-26, 2019.

o   Hu, X., Bao, M., Zhang, Xiao-Ping, Wen, S., Li, X., and Hu, Y.-H., “Quantized Kalman filter tracking in directional sensor networksIEEE Trans. on Mobile Computing, vol. 17, no. 4, pp. 871-883, April 2018. (DOI: 10.1109/TMC.2017.2742948) [PDF]

o   Chen, G., Li, G., Liu, Y., Zhang, Xiao-Ping, and Zhang, L., “SAR image despeckling by combination of fractional-order total variation and nonlocal low rank regularization,” in Proc. of ICIP2017, Beijing, China, September 17-20, 2017.

o   Zhang, Y., Zhang, YX, Deng, Z., Zhang, Xiao-Ping, and Liu, H., “Sea surface target detection based on complex ARMA-GARCH processesDigital Signal Processing, vol. 70, pp. 1-13, November 2017. (DOI: 10.1016/j.dsp.2017.07.017) [PDF]

o   Luo, J.-A., Zhang, Xiao-Ping, and Wang, Z, “A novel aliasing-free subband information fusion approach for wideband sparse spectral estimationEURASIP Journal on Advances in Signal Processing, vol. 2017, no. 61, pp. 1-13, August 2017. (DOI: 10.1186/s13634-017-0494-8). [PDF]

o   Luo, J.-A., Zhang, Xiao-Ping, Wang, Z., and Lai, X.-P., “On the accuracy of passive source localization using acoustic sensor array networksIEEE Sensors Journal, vol. 17, no. 6, pp. 1795-1809, March 2017. (DOI: 10.1109/JSEN.2017.2657646) [PDF]

o   Han, Y., Shen, Y., Zhang, Xiao-Ping, Win, M.Z., and Meng, H., “Performance limits and geometric properties of array localizationIEEE Trans. on Information Theory, vol. 62, no. 2, pp. 1054-1075, January 2016. (DOI: 10.1109/TIT.2015.2511778) [PDF]

o   Zhang, Xiao-Ping, Khwaja, A.S., Luo, J.-A., Housfater, A. S., and Anpalagan, A., “Multiple imputations particle filters: convergence and performance analyses for nonlinear state estimation with missing dataIEEE Journal of Selected Topics in Signal Processing, Special  Issue  on  Advanced  Signal  Processing  Techniques  for  Radar  Applications, vol. 9, no. 8, pp. 1536-1547, December 2015. (DOI: 10.1109/JSTSP.2015.2465360) [PDF]

o   Hu, X., Bao, M., Zhang, Xiao-Ping, Guan, L., and Hu, Y.-H., “Generalized iterated Kalman filter and its performance evaluationIEEE Trans. on Signal Processing, vol. 63, no. 12, pp. 3204-3217, June 2015. (DOI: 10.1109/TSP.2015.2423266) [PDF]

o   Khwaja, A. S., and Zhang, Xiao-Ping, “Compressed sensing ISAR reconstruction in the presence of rotational accelerationIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 7, no. 7, pp. 2957-2970, July 2014. (DOI: 10.1109/JSTARS.2014.2314216). [PDF]

o   Khwaja, A. S., and Zhang, Xiao-Ping, “Motion parameter estimation and focusing from SAR images based on sparse reconstructionIEEE Geoscience and Remote Sensing Letters, vol. 11, no. 8, pp. 1350-1354, August 2014.

o   Zhang, Xiao-Ping, Khwaja, A.S., Luo, J.-A., Housfater, A. S. and Anpalagan, A., “Convergence analysis of multiple imputations particle filters for dealing with missing data in nonlinear problems,” in Proc. of ISCAS2014, Melbourne, Australia, June 1-5, 2014.

o   Shao, H., Zhang, Xiao-Ping, and Wang, Z., “Efficient closed-form algorithms for AOA based self-localization of sensor nodes using auxiliary variablesIEEE Trans. on Signal Processing, vol. 62 , no. 10, pp. 2580-2594, May 2014.

o   Shao, H., Zhang, Xiao-Ping, and Wang, Z., “Novel Closed-form Auxiliary Variables Based Algorithms for Sensor Node Localization Using AOA,” in Proc. of ICASSP2014, Florence, Italy, May 4-9, 2014.

o   Khwaja, A. and Zhang, Xiao-Ping, “Sensitivity analysis of compressed sensing ISAR imaging to rotational acceleration rate mismatch,” in Proc. of ICIP2013, Melbourne, Australia, September 15-18, 2013.

o   Wang, Z., Luo, J., and Zhang, Xiao-Ping, “A novel location penalized maximum likelihood estimator for bearing only target localizationIEEE Trans. on Signal Processing, vol. 60, no. 12, pp. 6166 – 6181, December 2012.

o   Luo, J., Zhang, Xiao-Ping, and Wang, Z., “A new subband information fusion method for wideband DOA estimation using sparse signal representation,” in Proc. of ICASSP2013, Vancouver, Canada, May 26-31, 2013.

o   Luo, J., Zhang, Xiao-Ping, and Wang, Z., “A new passive source localization method using AOA-GROA-TDOA in wireless sensor array networks and its Cramιr-Rao bound analysis,” in Proc. of ICASSP2013, Vancouver, Canada, May 26-31, 2013.

o   Khwaja, A. and Zhang, Xiao-Ping, “Compressed sensing SAR moving target imaging in presence of basis mismatch,” in Proc. IEEE International Symposium on Circuits and Systems (ISCAS 2013), Beijing, China, May 19-23, 2013.

o   Huang, C., and Zhang, Xiao-Ping, “Performances of amplify-and-forward cooperative relay networks with different topologiesWireless Personal Communications, vol. 69, no. 2 pp. 561-577, DOI: 10.1007/s11277-012-0590-x, March 2013.

o   Khwaja, A. and Zhang, Xiao-Ping, “Reconstruction of compressively sensed complex-valued terahertz data,” in Proc. IEEE International Symposium on Circuits and Systems (ISCAS 2012), Seoul, Korea, May 20-23, 2012.

o   Luo, J., Zhang, Xiao-Ping, and Wang, Z., “Direction-of-arrival estimation using sparse variable projection optimization,” in Proc. IEEE International Symposium on Circuits and Systems (ISCAS 2012), Seoul, Korea, May 20-23, 2012.

o   Beheshti, S., Hashemi, M., Zhang, Xiao-Ping, and Nikvand, N., “Noise invalidation denoisingIEEE Trans. on Signal Processing, vol. 58, no. 12, pp. 6007-6016, December 2010.

o   Housfater, A. S., Zhang, Xiao-Ping, and Zhou, Y., “Monte Carlo initialization for multi-sensor bearing only tracking,” in Proc. 2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMPSAP 2007), pp.149–152, St. Thomas, U.S. Virgin Islands, December 12-14, 2007.

o   Zhang, R., Zhang, Xiao-Ping, and Liu, K., “Joint iterative demodulation and decoding of differential frequency hopping signals,” in Proc. of ICASSP2007, Honolulu, USA, April 15-20, 2007.

o   Housfater, A. S., Zhang, Xiao-Ping, and Zhou, Y, “Nonlinear fusion of multiple sensors with missing data,”in Proc. of  ICASSP2006, Toulouse, France, May 14-19, 2006.

o   Wang, Y., and Zhang, Xiao-Ping, “Symbol error rate evaluation for OFDM systems with MPSK modulation,” in Proc. of the 47th annual IEEE Global Telecommunications Conference (Globecom2004), Dallas, TX, USA, Nov. 29 – Dec. 3, 2004.

o   Zhang, Xiao-Ping and Allison, D. “Iterative deconvolution for automatic basecalling of the DNA electrophoresis time series,” in Proc. of 2002 Workshop on Genomic Signal Processing and Statistics (GENSIPS2002), Raleigh, North Carolina, USA, October 12-13, 2002.

o   Zhang, Xiao-Ping, Tian, L.-S. and Peng, Y.-N., "Wavelet detectors for wideband radar signal," in Proc. CIEICR'96 (1996 Chinese Institute of Electronics: International Conference on Radar), Beijing, Oct. 8-10, 1996.

o   Zhang, Xiao-Ping, Tian, L.-S. and Peng, Y.-N., "MTD processing based on wavelet transforms," in Proc. of ICNNSP-95 (International Conference on Neural Networks and Signal Processing), Nanjing, Dec. 10-13, 1995.

o   Zhang, Xiao-Ping, Tian, L.-S. and Peng, Y.-N., “The matched detection of wideband transients using wavelet transform,” in Proc. of NCCAS95 (1995 National Conference on Circuit and System), Weihai, Shandong, China, July 10-13, 1995.

o   Zhang, Xiao-Ping, Peng, Y.-N. and Tian, L.-S., "A method for adaptive radar clutter rejection based on Kohonen neural network," in Proc. ISNCR-94 (1994 International Symposium on Noise and Clutter Rejection in Radars and Imaging Sensors), Kawasaki, Japan, Nov. 15-17, 1994.

Tutorial:

o   Tutorial in ISCAS2019: Passive Localization and Tracking for Internet of Things, Half-day, May 26, 2019. [Video Part I] [Video Part II]

 

 

Image result for go to top button

 

·       Wavelets, Filter Banks, Transforms and Applications:

Publications:

o   Zhang, Y., Xie, Y., Li, X., Zhang, Xiao-Ping, and Zhou, J., “Frequency estimation for zero-padded signal based on the amplitude ratio of two DFT samplesIEEE Trans. on Signal Processing, vol. 69, pp. 6504-6514, December 2021. (DOI: 10.1109/TSP.2021.3130965) [PDF]

o   Yuan, H., and Zhang, Xiao-Ping, “Statistical modeling in the wavelet domain for compact feature extraction and similarity measure of imagesIEEE Trans. on Circuit and Systems for Video Technology, vol. 20, no. 3, pp. 439-445, March 2010.

o   Tsui, T., Zhang, Xiao-Ping, and Androutsos, D, “Color image watermarking using multidimensional Fourier transforms IEEE Trans. on Information Forensics and Security, vol. 3, no. 1, pp. 13-28, March 2008.

o   Zhang, R., Zhang, Xiao-Ping, and Guan, L., “Wavelet-based texture retrieval using independent component analysis,” in Proc. of ICIP2007, San Antonio, Texas, September 16-19, 2007.

o   Yuan, H., and Zhang, Xiao-Ping, “Multiscale fragile watermarking based on the Gaussian mixture modelIEEE Trans. on Image Processing, vol. 15, no. 10, pp. 3189-3200, October 2006.

o   Wang, Y., and Zhang, Xiao-Ping, “Filter-bank design for multicarrier modulation systems with MPSK based on symbol-error-rate evaluationIEE Proceedings - Communications, vol. 153, no. 6, pp. 919-927, December 2006.

o   Yuan, H., Zhang, Xiao-Ping, and Guan, L., “A statistical approach for image feature extraction in the wavelet domain,” in Proc. of 2003 Canadian Conf. on Electrical and Computer Engineering (CCECE2003), Montreal, May 4-7, 2003.

o   Wang, Y., and Zhang, Xiao-Ping, “Filter bank based interference suppression for fading channels,” in Proc. of CCECE2003, Montreal, May 4-7, 2003.

o   Wang, Y., and Zhang, Xiao-Ping, “Design of M-band complex-valued filter banks for multicarrier transmission over multipath wireless channels,” in Proc. of ICASSP 2003, Hong Kong, April 6-11, 2003.

o   Zhang, Xiao-Ping, “Multiscale tumor detection and segmentation in mammograms,” in Proc. of 2002 IEEE International Symposium on Biomedical Imaging, Washington D.C., USA, July, 2002.

o   Zhang, Xiao-Ping, "Target segmentation and extraction from geographic images based on multiscale analysis," in Proc. of 5th WSES/IEEE World Multiconference on Circuits, Systems, Communications & Computers, Rethymnon, Crete, Greece, July 8-15, 2001.

o   Zhang, Xiao-Ping, "Space-scale adaptive noise reduction in images based on thresholding neural network," in Proc. of ICASSP 2001, Salt Lake City, May 7-15, 2001.

o   Zhang, Xiao-Ping, and Luo, Z.-Q., "A new time-scale adaptive denoising method based on wavelet shrinkage," in Proc. of ICASSP'99, Phoenix, Arizona, Mar. 15-19, 1999.

o   Zhang, Xiao-Ping, et al., "Nonlinear adaptive noise suppression based on wavelet transform," in Proc. of ICASSP'98 (1998 International Conference on Acoustics, Speech, and Signal Processing), Seattle, Washington, May 12-15, 1998.

o   Zhang, Xiao-Ping, “Thresholding neural network for adaptive noise reductionIEEE Trans. on Neural Networks, vol. 12, no. 3, pp. 567-584, May 2001.

o   Zhang, Xiao-Ping, et al., "Segmentation of bright targets using wavelets and adaptive thresholding," IEEE Trans. on Image Processing, vol. 10, no. 7, pp. 1020-1030, July 2001.

o   Zhang, Xiao-Ping, Desai, M. and Peng, Y.-N., "Orthogonal complex filter banks and wavelets: some properties and design," IEEE Trans. on Signal Processing, vol. 47, no. 4, pp. 1039-1048, April 1999.

o   Zhang, Xiao-Ping, et al., "Adaptive denoising based on SURE risk," IEEE Signal Processing Letters, vol. 5, no. 10, pp. 265-267, Oct. 1998.

o   Zhang, Xiao-Ping, et al., " Automatic wavelet-based detection of clustered microcalcifications," in Proc. of 17th SOUTHERN BIOMEDICAL ENGINEERING CONFERENCE, San Antonio, TX, Feb. 6-8, 1998.

o   Zhang, Xiao-Ping, Desai, M. and Peng, Y.-N., "On the symmetry of orthogonal complex filter banks and wavelets," in Proc. of 31st Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, Nov. 2-5, 1997. (Compressed Postscript 45kB)

o   Zhang, Xiao-Ping, et al., "Wavelet based automatic thresholding for image segmentation," in Proc. of ICIP'97 (1997 IEEE International Conf. on Image Processing), Santa Barbara, CA, Oct. 26-29, 1997.

o   Zhang, Xiao-Ping, Tian, L.-S. and Peng, Y.-N., "Wavelet detectors for wideband radar signal," in Proc. CIEICR'96 (1996 Chinese Institute of Electronics: International Conference on Radar), Beijing, Oct. 8-10, 1996.

o   Zhang, Xiao-Ping, Tian, L.-S. and Peng, Y.-N., "From the wavelet series to the discrete wavelet transform -- the initialization," IEEE Trans. on Signal Processing, vol. 44, no. 1, pp. 129-133, Jan. 1996.

o   Zhang, Xiao-Ping, Tian, L.-S. and Peng, Y.-N., "Matched filters in time-scale domain and its application in signal detection," ACTA ELECTRONICA SINICA, vol. 24, no. 6, pp. 87-91, June 1996.

o   Zhang, Xiao-Ping, Tian, L.-S. and Peng, Y.-N., "From time-frequency distribution to continuous wavelet transform," Journal of Electronics, vol. 16, no. 6, pp. 631-640, Nov. 1994.

o   Zhang, Xiao-Ping, Tian, L.-S. and Peng, Y.-N., "MTD processing based on wavelet transforms," in Proc. of ICNNSP-95 (International Conference on Neural Networks and Signal Processing), Nanjing, Dec. 10-13, 1995.

o   Zhang, Xiao-Ping, Tian, L.-S. and Peng, Y.-N., "A kind of the optimal wavelet choice by neural network," in Proc. of ICRS'95 (International Conference of Radio Science), Beijing, Aug. 10-12, 1995.

o   Zhang, Xiao-Ping, Tian, L.-S. and Peng, Y.-N., “The matched detection of wideband transients using wavelet transform,” in Proc. of NCCAS95 (1995 National Conference on Circuit and System), Weihai, Shandong, China, July 10-13, 1995.

 

Patents:

 

 

·      Multimedia Signal Processing and Computer Vision

·       Multimedia (Image/Video/Speech/Audio) Signal Processing, Computer Vision and Applications (Some with Machine Learning):

Publications:

o   Li, M., and Zhang, Xiao-Ping, “Robust audio anti-spoofing system based on low-frequency sub-band information,” in Proc. of 2023 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), New Paltz, NY, USA, October 22-25, 2023.

o   Chen, G., Liu, X., Wang, G., Zhang, K., Torr, P.H., Zhang, Xiao-Ping, and Tang, Y., “Tem-adapter: adapting image-text pretraining for video question answer,” in Proc. of the IEEE/CVF International Conference on Computer Vision (ICCV), pp. 13945-13955, Paris, France. October 2-3, 2023.

o   Yan, J., Xie, Y., Guo, Y., Wei, Y., Zhang, Xiao-Ping, and Luan X., “CoCoOpter: Pre-train, prompt, and fine-tune the vision-language model for few-shot image classificationInternational Journal of Multimedia Information, vol. 12, no. 2, August 2023. (DOI: 10.1007/s13735-023-00286-5)

o   Gao, Y., Min, X., Zhu, Y., Zhang, Xiao-Ping, and Zhai, G., “Blind image quality assessment: a fuzzy neural network for opinion score distribution predictionIEEE Trans. on Circuits and Systems for Video Technology, accepted to appear, online published, July 2023.  (DOI: 10.1109/TCSVT.2023.3295375)

o   Su, Z., Zhang, Y., Shi, J., and Zhang, Xiao-Ping, “A survey of single image rain removal based on deep learningACM Computing Surveys, accepted to appear, online published, October 2023. (DOI: 10.1145/3625818)

o   Wu, K., Yang, Y., Liu, Q., and Zhang, Xiao-Ping, “Hierarchical independent coding scheme for varifocal multiview images based on angular-focal joint predictionIEEE Trans. on Multimedia, accepted to appear, online published, August 2023. (DOI: 10.1109/TMM.2023.3306072)

o   Tan, X., Hu, M., Zhai, G., Zhu, Y., Li, W., and Zhang, Xiao-Ping, “Lightweight video-based respiration rate detection algorithm: an application case on intensive careIEEE Trans. on Multimedia, vol. 26, pp. 1761-1775, January 2024. (DOI: 10.1109/TMM.2023.3286994) [PDF]

o   Tan, X., Hu, M., Zhai, G., Zhu, Y., Li, W., and Zhang, Xiao-Ping, “Unobtrusive respiratory monitoring system for intensive care,” in Proc. of ICASSP2023 (2023 IEEE International Conference on Acoustics, Speech and Signal Processing), Rhodes Island, Greece, June 4-10, 2023.

o   Guo, Y., Hu, M., Min, X., Wang, Y., Dai, M., Zhai, G., Zhang, Xiao-Ping, and Yang, X., “Blind image quality assessment for pathological microscopic image under screen and immersion scenariosIEEE Trans. on Medical Imaging, vol. 42, no. 11, pp. 3295-3306, Nov. 2023. (DOI: 10.1109/TMI.2023.3282387) [PDF]

o   Jiang, X., Zhang, S., Zhang, Xiao-Ping, and Ma, J., “Improving sparse graph attention for feature matching by informative key points exploration,” Computer Vision and Image Understandingvol. 235, p.103803, October 2023. (DOI: 10.1016/j.cviu.2023.103803)

o   Hua, C., Wu, Y., Shi, Y., Hu, M., Xie, R., Zhai, G., and Zhang, Xiao-Ping, “Steganography for medical record image,” Computers in Biology and Medicine vol. 165, p.107344, October 2023. (DOI: 10.1016/j.compbiomed.2023.107344)

o   Huang, Y., Chen, W., Peng, L., Liu, Y., Wang, M., Zhang, Xiao-Ping, and Zeng, X.,“LineDL: processing images line-by-line with deep learningIEEE Trans. on Image Processing, vol. 32, pp. 3150-3162, June 2023.  (DOI: 10.1109/TIP.2023.3277394) [PDF]

o   Zhang, X., Hu, M., Zhang, Y., Zhai, G., and Zhang, Xiao-Ping, “Recent progress of optical imaging approaches for noncontact physiological signal measurement: A reviewAdvanced Intelligent Systems, 2200345, accepted to appear, online published, May 2023. (DOI: 10.1002/aisy.202200345) [PDF]

o   Jin, Y. -L., Ji, Z.-Y., Zeng, D., and Zhang, Xiao-Ping, “VWP: An efficient DRL-based autonomous driving modelIEEE Trans. on Multimedia, vol. 26, pp. 2096-2108, January 2024. (DOI: 10.1109/TMM.2022.3177942) [PDF]

o   H. Duan, X. Min, W. Sun, Y. Zhu, Zhang, Xiao-Ping, and Zhai, G., “Attentive deep image quality assessment for omnidirectional stitchingIEEE Journal of Selected Topics in Signal Processing, vol. 17, no. 6, pp. 1150-1164, Nov. 2023.  (DOI: 10.1109/JSTSP.2023.3250956) [PDF]

o   Li, Y., Tan, Y., Yang, J., Li, Y., and Zhang, Xiao-Ping, “Finding the most transferable tasks for medical image segmentation,” in Proc. of 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM2022), Las Vegas, USA, December 6-8, 2022.

o   Li, Y., Li, G., Liu, Y., Zhang, Xiao-Ping, and He, Y., “A hybrid SVSF algorithm for automotive radar trackingIEEE Trans. on Intelligent Transportation Systems, vol. 23, no. 9, pp. 15028-15042, September 2022.. (DOI: 10.1109/TITS.2021.3136170) [PDF]

o   Li, J., Zhai, G., Zhu, Y., Zhou, J., and Zhang, Xiao-Ping, “How sound affects visual attention in omnidirectional videos?” in Proc. of ICIP2022 (2022 IEEE International Conf. on Image Processing), Bordeaux, France, October 16-19, 2022.

o   Li, M., Ahmadiadli, Y., and Zhang, Xiao-Ping, “A comparative study on physical and perceptual features for deepfake audio detection,” in Proc. 1st International Workshop on Deepfake Detection for Audio Multimedia (DDAM 2022), ACM Multimedia 2022, Lisbon, Portugal, October 10-14, 2022.

o   Zhu, D., Wang, X., Li, G., and Zhang, Xiao-Ping, “Vessel detection via multi-order saliency-based fuzzy fusion of spaceborne and airborne SAR imagesInformation Fusion, vol. 89, pp. 473-485, January 2023. (DOI: 10.1016/j.inffus.2022.08.022)

o   Su, Z., Zhang, Y., Shi, J., and Zhang, Xiao-Ping, “Recurrent network knowledge distillation for image derainIEEE Trans. on Cognitive and Developmental Systems, vol. 14, no. 4, pp. 1642-1653, December 2022. (DOI: 10.1109/TCDS.2021.3131045) [PDF]

o   Gong, X., Li, X., Ma, L., Tong, W., Shi, F., Hu, M., Zhang, Xiao-Ping, Yu, G., and Yang, C., “Preterm infant general movements assessment via representation learningDisplays, vol. 75, p.102308, December 2022. (DOI: 10.1016/j.displa.2022.102308)

o   Wang, Y., Yan, X., Guan, D., Wei, M., Chen, Y., Zhang, Xiao-Ping, and Li, J., “Cycle-SNSPGAN: Towards real-world image dehazing via cycle spectral normalized soft likelihood estimation patch GANIEEE Trans. on Intelligent Transportation Systems, vol. 23, no. 11, pp. 20368-20382, Nov. 2022. (DOI: 10.1109/TITS.2022.3170328) [PDF]

o   Chen, Y., Luo, Z., Li, W., Lin, H., Nurunnabi, A., Lin, Y., Wang, C., Zhang, Xiao-Ping, and Li, J., “WGNet: Wider graph convolution networks for 3D point cloud classification with local dilated connecting and context-awareInternational Journal of Applied Earth Observation and Geoinformation, vol. 110:102786, pp. 1-15, June 2022. (DOI: 10.1016/j.jag.2022.102786) [PDF]

o   Gong, M., Ma, J., Xu, H., Tian, X., and Zhang, Xiao-Ping, “D2TNet: A ConvLSTM network with dual-direction transfer for pan-sharpeningIEEE Trans. on Geoscience and Remote Sensing, vol. 60, pp. 1-14, May 2022. (DOI: 10.1109/TGRS.2022.3169134) [PDF]

o   Wu, K., Yang, Y., Liu, Q., and Zhang, Xiao-Ping, “Focal stack image compression based on basis-quadtree representationIEEE Trans. on Multimedia, vol. 25, pp. 3975-3988, September 2023. (DOI: 10.1109/TMM.2022.3169055) [PDF]

o   Zhang, Y., Su, Z., Qi, F., Zhou, J., and Zhang, Xiao-Ping, “Terahertz image restoration benchmarking dataset,” in Proc. of ICASSP2022 (2022 IEEE International Conference on Acoustics, Speech and Signal Processing), Singapore, May 22-27, 2022.

o   Yang, C., Hu, M., Zhai, G., and Zhang, Xiao-Ping, “Graph-based denoising for respiration and heart rate estimation during sleep in thermal videoIEEE Internet of Things Journal, vol. 9, no. 17, pp. 15697-15713, September 2022. (DOI: 10.1109/JIOT.2022.3150147) [PDF]

o   Liu, H., Hu, M., Chen, Y., Li, Q., Zhai, G., Yang, S, Zhang, Xiao-Ping, and Yang, X., “Angel’s girl for blind painters: an efficient painting navigation system validated by multimodal evaluation approachIEEE Trans. on Multimedia, vol. 25, pp. 2415-2429, June 2023. (DOI: 10.1109/TMM.2022.3146767) [PDF]

o   Zhou, H., Chen, H., Zhang, Y., Wei, M., Xie, H., Wang, J., Lu, T., Qin, J., and Zhang, Xiao-Ping, “Refine-Net: Normal refinement neural network for noisy point clouds IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 45, no. 1, pp. 946-963, January 2023. (DOI: 10.1109/TPAMI.2022.3145877) [PDF]

o   Du, H, Shi, H., Zeng, D., Zhang, Xiao-Ping, and Mei, T., “The elements of end-to-end deep face recognition: a survey of recent advancesACM Computing Surveys, vol. 54, no. 10s, September 2022. (DOI: 10.1145/3507902)

o   Wang, X., Ma, J., Jiang, J., and Zhang, Xiao-Ping, “Dilated projection correction network based on autoencoder for hyperspectral image super-resolutionNeural Networks, vol. 146, pp. 107-119, February 2022. (DOI: 10.1016/j.neunet.2021.11.014) [PDF]

o   Jiang, X., Li, G, Zhang, Xiao-Ping, and He, Y., “A semisupervised Siamese network for efficient change detection in heterogeneous remote sensing imagesIEEE Trans. on Geoscience and Remote Sensing, vol. 60, pp. 1-18, January 2022. (DOI: 10.1109/TGRS.2021.3061686) [PDF]

o   Xie, N., Miao, Z., Zhang, Xiao-Ping, Xu, W., Li, M., and Wang, J., “Sequential gesture learning for continuous Labanotation generation based on the fusion of graph neural networksIEEE Trans. on Circuits and Systems for Video vol. 32, no. 6, pp. 3722-3734, June 2022. (DOI: 10.1109/TCSVT.2021.3109892) [PDF]

o   Wang, X., Ma, J., Yi, P., Tian, X., Jiang, J., and Zhang, Xiao-Ping, “Learning an epipolar shift compensation for light field image super-resolutionInformation Fusion, vol. 79, pp. 188-199, March 2022. (DOI: 10.1016/j.inffus.2021.10.005) [PDF]

o   Wu, B., and Zhang, Xiao-Ping, “Environmental sound classification via time-frequency attention and framewise self-attention based deep neural networks IEEE Internet of Things Journal, vol. 9, no. 5, pp. 3416-3428, March 2022. (DOI: 10.1109/JIOT.2021.3098464) [PDF]

o   Jiang, X., Xia, Y., Zhang, Xiao-Ping, and Ma, J., “Robust image matching via local graph structure consensusPattern Recognition, vol. 126: 108588, pp. 1-14, February 2022. (DOI: 10.1016/j.patcog.2022.108588) [PDF]

o   Su, Z., Zhang, Y., Zhang, Xiao-Ping, and Feng, Q., “Non-local channel aggregation network for single image rain removalNeurocomputing, vol. 469, pp. 261-272, January 2022. (DOI: 10.1016/j.neucom.2021.10.052) [PDF]

o   Wang, X., Zhu, D., Li, G., Zhang, Xiao-Ping, and He, Y., “Proposal-copula-based fusion of spaceborne and airborne SAR images for ship target detectionInformation Fusion, vol. 77, pp. 247-260, January 2022. (DOI: 10.1016/j.inffus.2021.07.019) [PDF]

o   Yue, J., Lu, Q., Min, X., Zhu, D., Zhang, Xiao-Ping, and Zhai, G., “Inter-observer visual congruency in video-viewing,” accepted, 2021 Visual Communications and Image Processing (VCIP2021), Munich, Germany, December 5-8, 2021

o   Han, J., Li, G., and Zhang, Xiao-Ping, “One-bit radar imaging via adaptive binary iterative hard thresholdingIEEE Trans. on Computational Imaging, vol. 7, pp. 1005-1017, September 2021. (DOI: 10.1109/TCI.2021.3113113) [PDF]

o   Wang, X., Zhu, D., Li, G., and Zhang, Xiao-Ping, “A new image fusion method for ship target enhancement in spaceborne and airborne SAR collaborationin Proc. of 24th International Conference on Information Fusion (FUSION2021), Sun City, South Africa, November 1- 4, 2021.

o   Zheng, S., Chen, J., Zhang, Xiao-Ping, and Kuo, Y., “A new multihypothesis–based compressed video sensing reconstruction systemIEEE Trans. on Multimedia, vol. 23, pp. 3577-3589, October 2021. (DOI: 10.1109/TMM.2020.3028479) [PDF]

o   Chen, X., Liu, X., Liu, W., Zhang, Y., Zhang, Xiao-Ping, and Mei, T., “Explainable person re-identification with attribute-guided metric distillationin Proc. of IEEE International Conference on Computer Vision 2021 (ICCV2021), October 11-17, 2021. (25.9% acceptance rate)

o   Gao, Y., Min, X., Zhu, W., Zhang, Xiao-Ping, and Zhai, G., “Modeling image quality score distribution using alpha stable model,” in Proc. of ICIP2021 (2021 IEEE International Conf. on Image Processing), pp. 1574-1578, Anchorage, USA, September 19-22, 2021.

o   Deng, S., Feng, Y., Xie, H., Chen, Y., Li, J., Zhang, Xiao-Ping, Wei, M., and Jing, Q., “Direction-aware feature-level frequency decomposition for single image deraining,” in Proc. of the 30th International Joint Conference on Artificial Intelligence (IJCAI2021),  Montreal, Canada, August 21-26, 2021. (13.9% acceptance rate)

o   Zhu, D., Wang, X., Li, G., and Zhang, Xiao-Ping, “Fusion of spaceborne and airborne SAR images using saliency and fuzzy logic for vessel detection,” in Proc. of 2021 IEEE International Geoscience and Remote Sensing Symposium (IGARSS2021), Brussels, Belgium, July 12-14, 2021.

o   Yao, C., Tang, J., Hu, M., Wu, Y., Guo, W., Li, Q., and Zhang, Xiao-Ping, “Claw U-Net: a UNet-based network with deep feature concatenation for scleral blood vessel segmentation,” in Proc. 2021 CAAI International Conference on Artificial Intelligence (CICAI 2021), Hangzhou, China, June 5-6, 2021. (Best Poster Finalist Award)

o   Wang, X., Li, G., Zhang, Xiao-Ping, and He, Y., “A fast CFAR algorithm based on density-censoring operation for ship detection in SAR imagesIEEE Signal Processing Letters, accepted to appear, online published, May 2021. (DOI: 10.1109/LSP.2021.3082034)

o   Han, J., Li, G., Wang, K., Duan, M., and Zhang, Xiao-Ping, “1-bit radar imaging based on adversarial samplesIEEE Trans. on Geoscience and Remote Sensing, vol. 60, pp. 1-13, January 2022. (DOI: 10.1109/TGRS.2021.3073159) [PDF]

o   Wang, Y., Hu, M., Yang, C., Li, N., Zhang, J., Li, Q., Zhai, G., Yang, S, Zhang, Xiao-Ping, Yang, X., “Respiratory consultant by your side: affordable and remote intelligent respiratory rate and respiratory pattern monitoring system IEEE Internet of Things Journal, vol. 8, no. 19, pp. 14999-15009, October 2021. (DOI: 10.1109/JIOT.2021.3073049) [PDF]

o   Li, M., Miao, Z., Zhang, Xiao-Ping, Xu, W., Ma, C., and Xie, N., “Rhythm-aware sequence-to-sequence learning for Labanotation generation with gesture-sensitive graph convolutional encodingIEEE Trans. on Multimedia, vol. 24, pp. 1488-1502, April 2022. (DOI: 10.1109/TMM.2021.3066115) [PDF]

o   Wu, K., Yang, Y., Liu, Q., and Zhang, Xiao-Ping, “Gaussian-Wiener representation and hierarchical coding scheme for focal stack imagesIEEE Trans. on Circuits and Systems for Video Technology, vol. 32, no. 2, pp. 523-537, Feb. 2022. (DOI: 10.1109/TCSVT.2021.3066523) [PDF]

o   Qiu, Z., Yao, T., Ngo, C.-W., Zhang, Xiao-Ping, Wu, D., and Mei, T., “Boosting video representation learning with multi-faceted integration,” in Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR),  June 19-25, 2021.

o   Li, M., Miao, Z., Zhang, Xiao-Ping, and Xu, W., “An attention-seq2seq model based on CRNN encoding for automatic labanotation generation from motion capture data,” in Proc. of ICASSP2021 (2021 IEEE International Conference on Acoustics, Speech and Signal Processing), Toronto, Canada, June 6-11, 2021.

o   Zheng, J., Liu, X., Yan, C., Zhang, J., Liu, W., Zhang, Xiao-Ping, and Mei, T., “TraND: transferable neighborhood discovery for unsupervised cross-domain gait recognition,” in Proc. of 2021 IEEE International Symposium on Circuits and Systems (ISCAS2021), Daegu, Korea, May 22-28, 2021.

o   Sharma, G., Zhang, Xiao-Ping, Umapathy, K., and Krishnan, S., “Audio texture and age-wise analysis of disordered speech in children having specific language impairmentBiomedical Signal Processing and Control, vol. 66, pp. 1-8, April 2021. (DOI: 10.1016/j.bspc.2021.102471) [PDF]

o   Lu, Q., Zhai, G., Zhu, W., Zhu, Y., Min, X., Zhang, Xiao-Ping, and Yang, H., “Automatic region selection for objective sharpness assessment of mobile device photosin Proc. of ICIP2020 (2020 IEEE International Conf. on Image Processing), Abu Dhabi, UAE, October 25-28, 2020.

o   Song, K., Liu, N., Gao, Z., Zhang, J., Zhai, G., and Zhang, Xiao-Ping, “Deep restoration of invisible QR code from TPVM display,” in Proc. 2020 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), London, UK, July 6-10, 2020.

o   Liu, L., Feng, G., Beautemps, D., and Zhang, Xiao-Ping, “Re-synchronization using the hand preceding model for multi-modal fusion in automatic continuous cued speech recognitionIEEE Trans. on Multimedia, vol. 23, pp. 292-305, February 2021. (DOI: 10.1109/TMM.2020.2976493) [arXiv]

o   Li, A., Miao, Z., Cen, Y., Zhang, Xiao-Ping, Zhang, L., and Chen, S., “Abnormal event detection in surveillance videos based on low-rank and compact coefficient dictionary learningPattern Recognition, vol. 108:107355, pp. 1-16, December 2020. (DOI: 10.1016/j.patcog.2020.107355) [PDF]

o   Ai, J., Hu, M., Zhai, G., Zhang, Xiao-Ping, Wang, Y., Cai, L., Li, Q. and Sun, W.Q., “Rapidly developing human heat residue model under various conditions based on Fluent and thermal video,” Infrared Physics & Technologyvol. 110, p.103468, November 2020. (DOI: 10.1016/j.infrared.2020.103468)

o   Xu, H., Ma, J., and Zhang, Xiao-Ping, “MEF-GAN: Multi-exposure image fusion via generative adversarial networksIEEE Trans. on Image Processing, vol. 29, pp. 7203-7216, June 2020. (DOI: 10.1109/TIP.2020.2999855) [PDF]

o   Wang, Y., Hu, M., Zhou, Y., Li, Q., Yao, N., Zhai, G., Zhang, Xiao-Ping, Yang, X., “Unobtrusive and automatic classification of multiple people’s abnormal respiratory patterns in real time using deep neural network and depth cameraIEEE Internet of Things Journal, vol. 7, no. 9, pp. 8559-8571, September 2020. (DOI: 10.1109/JIOT.2020.2991456) [PDF] [arXiv version related to COVID-19]

o   Jiang, X., He, Y., Li, G, Liu, Y., and Zhang, Xiao-Ping, “Change detection in heterogeneous optical and SAR remote sensing images via deep homogeneous feature fusionIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Special Issue on Deep Learning for Remote Sensing Image Scene Classification, vol. 13, pp. 1551-1566, April 2020. (DOI: 10.1109/JSTARS.2020.2983993) [arXiv]

o   Ma, J., Xu, H., Jiang, J., Mei, X., and Zhang, Xiao-Ping, “DDcGAN: a dual-discriminator conditional generative adversarial network for multi-resolution image fusionIEEE Trans. on Image Processing, vol. 29, pp. 4980-4995, 2020. (DOI: 10.1109/TIP.2020.2977573) [PDF]

o   Wang, X., Li, G., Zhang, Xiao-Ping, and He, Y., “Ship detection in SAR Images via local contrast of Fisher vectorsIEEE Trans. on Geoscience and Remote Sensing, vol. 58, no. 9, pp. 6467-6479, September 2020. (DOI: 10.1109/TGRS.2020.2976880) [PDF]

o   Zhai, G. and Zhang, Xiao-Ping,  “Probabilistic image quality assessment: an economics point of view2019 IEEE International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS), Taipei, Taiwan, December 3-6, 2019. (DOI: 10.1109/ISPACS48206.2019.8986227)

o   Li, D., Gao, Z., Zhang, Xiao-Ping, Zhai, G., and Yang, X., “Generative adversarial networks for non-negative matrix factorization in temporal psycho-visual modulationDigital Signal Processing, vol. 100, pp. 1-11, May 2020. (DOI: 10.1016/j.dsp.2020.102681) [PDF]

o   Min, X., Zhou, J., Zhai, G., Zhang, Xiao-Ping, Yang, X., and Guan, X., “A multimodal saliency model for videos with high audio-visual correspondenceIEEE Trans. on Image Processing, vol. 29, no. 1, pp. 3805-3819, 2020. (DOI: 10.1109/TIP.2020.2966082) [PDF].

o   Wang, X., Li, G., and Zhang, Xiao-Ping, “Contrast of contextual Fisher vectors for ship detection in SAR images,” in Proc. of  2020 IEEE International Radar Conference, Washington DC, USA, April 27 - 30, 2020.

o   Zheng, S.,  Zhang, Xiao-Ping, Chen, J., and Kuo, Y., “A new multihypothesis prediction scheme for compressed video sensing reconstruction,” in Proc. of  ICASSP2020 (2020 IEEE International Conference on Acoustics, Speech and Signal Processing), Barcelona, Spain, May 4-8, 2020.

o   Chen, G., Li, G., Liu, Y., Zhang, Xiao-Ping, and Zhang, L., “SAR image despeckling based on combination of fractional-order total variation and nonlocal low rank regularizationIEEE Trans. on Geoscience and Remote Sensing, vol. 58, no. 3, pp. 2056-2070, March 2020. (DOI: 10.1109/TGRS.2019.2952662) [PDF]