An Improved Auto-Calibration Algorithm Based on Sparse Bayesian Learning Framework. - Lifan Zhao; Guoan Bi; Lu Wang 003; Haijian Zhang (IEEE Signal Process. Lett., 2013)

Blind Frequency Hopping Spectrum Estimation: A Bayesian Approach. - Lifan Zhao; Lu Wang 003; Guoan Bi; Haijian Zhang (BDCloud, 2014)

Learning Discriminative and Shareable Features for Scene Classification. - Zhen Zuo; Gang Wang 012; Bing Shuai; Lifan Zhao; Qingxiong Yang; Xudong Jiang 001 (ECCV (1), 2014)

ISAR imaging by exploiting the continuity of target scene. - Lu Wang 003; Lifan Zhao; Guoan Bi; Liren Zhang (ICASSP, 2014)

Time-varying filtering and separation of nonstationary FM signals in strong noise environments. - Haijian Zhang; Guoan Bi; Lifan Zhao; Sirajudeen Gulam Razul; Chong Meng Samson See (ICASSP, 2014)

Hierarchical Sparse Signal Recovery by Variational Bayesian Inference. - Lu Wang 003; Lifan Zhao; Guoan Bi; Chunru Wan (IEEE Signal Process. Lett., 2014)

Enhanced ISAR Imaging by Exploiting the Continuity of the Target Scene. - Lu Wang 003; Lifan Zhao; Guoan Bi; Chunru Wan; Lei Yang 015 (IEEE Trans. Geosci. Remote. Sens., 2014)

An Autofocus Technique for High-Resolution Inverse Synthetic Aperture Radar Imagery. - Lifan Zhao; Lu Wang 003; Guoan Bi; Lei Yang 015 (IEEE Trans. Geosci. Remote. Sens., 2014)

Investigation on SAR ground moving target imaging under sparse Bayesian learning framework. - Lei Yang 015; Lifan Zhao; Xiumei Li; Guoan Bi (ChinaSIP, 2015)

Integrating parametric and non-parametric models for scene labeling. - Bing Shuai; Gang Wang 012; Zhen Zuo; Bing Wang 003; Lifan Zhao (CVPR, 2015)

Ground moving target imaging by synthetic aperture radar based on an unified framework of keystone transformation. - Lei Yang 015; Lifan Zhao; Lu Wang 003; Guoan Bi (ICASSP, 2015)

Wideband DOA estimation by joint sparse representation under Bayesian learning framework. - Lu Wang 003; Lifan Zhao; Guoan Bi; Chunru Wan (DSP, 2015)

Protograph LDPC codes for STBC Rayleigh fading channels. - Yi Fang 005; Guojun Han; Pingping Chen; Lifan Zhao; Lingjun Kong (ISCIT, 2015)

Exemplar based Deep Discriminative and Shareable Feature Learning for scene image classification. - Zhen Zuo; Gang Wang 012; Bing Shuai; Lifan Zhao; Qingxiong Yang (Pattern Recognit., 2015)

Sparse Representation-Based ISAR Imaging Using Markov Random Fields. - Lu Wang 003; Lifan Zhao; Guoan Bi; Chunru Wan (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015)

Robust Frequency-Hopping Spectrum Estimation Based on Sparse Bayesian Method. - Lifan Zhao; Lu Wang 003; Guoan Bi; Liren Zhang; Haijian Zhang (IEEE Trans. Wirel. Commun., 2015)

A secure data hiding system based on over-complete dictionary partitioning. - Guang Hua 001; Lifan Zhao; Guoan Bi (AIM, 2016)

ISAR maneuvering targets imaging and motion estimation from parametric sparse bayesian learning. - Gang Xu 002; Lei Yang 015; Lifan Zhao; Guoan Bi (IGARSS, 2016)

Spectrum analysis of SAR image in polar grid system for back projection algorithm. - Song Zhou; Lei Yang 015; Lifan Zhao; Guoan Bi (IGARSS, 2016)

Forward Velocity Extraction From UAV Raw SAR Data Based on Adaptive Notch Filtering. - Song Zhou; Lei Yang 015; Lifan Zhao; Guoan Bi (IEEE Geosci. Remote. Sens. Lett., 2016)

Structured sparsity-driven autofocus algorithm for high-resolution radar imagery. - Lifan Zhao; Lu Wang 003; Guoan Bi; Shenghong Li 001; Lei Yang 015; Haijian Zhang (Signal Process., 2016)

The Race to Improve Radar Imagery: An overview of recent progress in statistical sparsity-based techniques. - Lifan Zhao; Lu Wang 003; Lei Yang 015; Abdelhak M. Zoubir; Guoan Bi (IEEE Signal Process. Mag., 2016)

SAR Ground Moving Target Imaging Algorithm Based on Parametric and Dynamic Sparse Bayesian Learning. - Lei Yang 015; Lifan Zhao; Guoan Bi; Liren Zhang (IEEE Trans. Geosci. Remote. Sens., 2016)

Sparse Bayesian RVM regression based channel estimation for IM/DD OFDM-VLC systems with reduced training overhead. - Chen Chen 037; Wen-De Zhong; Lifan Zhao (ICC Workshops, 2017)

Spectrum-Oriented FFBP Algorithm in Quasi-Polar Grid for SAR Imaging on Maneuvering Platform. - Lei Yang 015; Lifan Zhao; Song Zhou; Guoan Bi; Huan Yang (IEEE Geosci. Remote. Sens. Lett., 2017)

Autocalibrated Sampling Rate Conversion in the Frequency Domain [Tips & Tricks]. - Lifan Zhao; Xiumei Li; Lu Wang 003; Guoan Bi (IEEE Signal Process. Mag., 2017)

Sparsity-Driven SAR Imaging for Highly Maneuvering Ground Target by the Combination of Time-Frequency Analysis and Parametric Bayesian Learning. - Lei Yang 015; Lifan Zhao; Song Zhou; Guoan Bi (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017)

Quasi-Polar-Based FFBP Algorithm for Miniature UAV SAR Imaging Without Navigational Data. - Song Zhou; Lei Yang 015; Lifan Zhao; Guoan Bi (IEEE Trans. Geosci. Remote. Sens., 2017)

Computationally Efficient Wide-Band DOA Estimation Methods Based on Sparse Bayesian Framework. - Lifan Zhao; Xiumei Li; Lu Wang 003; Guoan Bi (IEEE Trans. Veh. Technol., 2017)

Dynamic Bayesian Logistic Matrix Factorization for Recommendation with Implicit Feedback. - Yong Liu 020; Lifan Zhao; Guimei Liu; Xinyan Lu; Peng Gao; Xiao-Li Li 001; Zhihui Jin (IJCAI, 2018)

A statistical sparsity-based method for sensor array calibration. - Lifan Zhao; Shen-Tat Goh; Wee Siong Ng (WF-IoT, 2018)

An Improved Deep Clustering Model for Underwater Acoustical Targets. - Qiang Wang 032; Lu Wang 003; Xiangyang Zeng; Lifan Zhao (Neural Process. Lett., 2018)

Coherent Auto-Calibration of APE and NsRCM under Fast Back-Projection Image Formation for Airborne SAR Imaging in Highly-Squint Angle. - Lei Yang 015; Song Zhou; Lifan Zhao; Mengdao Xing (Remote. Sens., 2018)

Acoustic source localization in strong reverberant environment by parametric Bayesian dictionary learning. - Lu Wang 003; Yanshan Liu; Lifan Zhao; Qiang Wang 032; Xiangyang Zeng; Kean Chen (Signal Process., 2018)

Alternative to Extended Block Sparse Bayesian Learning and Its Relation to Pattern-Coupled Sparse Bayesian Learning. - Lu Wang 003; Lifan Zhao; Susanto Rahardja; Guoan Bi (IEEE Trans. Signal Process., 2018)

An Improved Fast Time-Domain Algorithm for Bistatic Forward-Looking Sar Imaging. - Song Zhou; Lei Yang 015; Lifan Zhao; Yuhao Wang 001; Chaoqun Zhang (IGARSS, 2019)

Alternative Extended Block Sparse Bayesian Learning for Cluster Structured Sparse Signal Recovery. - Lu Wang 003; Lifan Zhao; Guoan Bi; Xin Liu 009 (WISATS (1), 2019)

A New Fast Factorized Back Projection Algorithm for Bistatic Forward-Looking SAR Imaging Based on Orthogonal Elliptical Polar Coordinate. - Song Zhou; Lei Yang 015; Lifan Zhao; Yuhao Wang 001; Huilin Zhou; Liangbing Chen; Mengdao Xing (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

Random Matching Pursuit for Image Watermarking. - Guang Hua 001; Lifan Zhao; Haijian Zhang; Guoan Bi; Yong Xiang 001 (IEEE Trans. Circuits Syst. Video Technol., 2019)

Mixed Information Flow for Cross-domain Sequential Recommendations. - Muyang Ma; Pengjie Ren; Zhumin Chen; Zhaochun Ren; Lifan Zhao; Jun Ma 001; Maarten de Rijke (CoRR, 2020)

Structured Bayesian learning for recovery of clustered sparse signal. - Lu Wang 003; Lifan Zhao; Lei Yu 006; Jingjing Wang; Guoan Bi (Signal Process., 2020)

Cooperative Multitask Learning for Sparsity-Driven SAR Imagery and Nonsystematic Error Autocalibration. - Lei Yang 015; Pucheng Li; Su Zhang; Lifan Zhao; Song Zhou; Mengdao Xing (IEEE Trans. Geosci. Remote. Sens., 2020)

Data-Driven Motion Compensation for Airborne Bistatic SAR Imagery Under Fast Factorized Back Projection Framework. - Min Bao; Song Zhou; Lei Yang 015; Mengdao Xing; Lifan Zhao (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

OA-FSUI2IT: A Novel Few-Shot Cross Domain Object Detection Framework with Object-Aware Few-Shot Unsupervised Image-to-Image Translation. - Lifan Zhao; Yunlong Meng; Lin Xu (AAAI, 2022)

Unsupervised Image-to-Image Translation with Patch Pyramid Dual Contrastive Learning for Cross Domain Object Detection. - Yunlong Meng; Lifan Zhao; Lin Xu (ICME, 2022)

Mixed Information Flow for Cross-Domain Sequential Recommendations. - Muyang Ma; Pengjie Ren; Zhumin Chen; Zhaochun Ren; Lifan Zhao; Peiyu Liu 001; Jun Ma 001; Maarten de Rijke (ACM Trans. Knowl. Discov. Data, 2022)

DoubleAdapt: A Meta-learning Approach to Incremental Learning for Stock Trend Forecasting. - Lifan Zhao; Shuming Kong; Yanyan Shen (KDD, 2023)

Methods for Acquiring and Incorporating Knowledge into Stock Price Prediction: A Survey. - Liping Wang 015; Jiawei Li; Lifan Zhao; Zhizhuo Kou; Xiaohan Wang; Xinyi Zhu; Hao Wang 068; Yanyan Shen; Lei Chen 002 (CoRR, 2023)

RESUS: Warm-up Cold Users via Meta-learning Residual User Preferences in CTR Prediction. - Yanyan Shen; Lifan Zhao; Weiyu Cheng; Zibin Zhang; Wenwen Zhou; Kangyi Lin (ACM Trans. Inf. Syst., 2023)

StockCL: Selective Contrastive Learning for Stock Trend Forecasting via Learnable Concepts. - Zexi Zhang; Lifan Zhao; Yanyan Shen; Bin Yao 002 (DASFAA (7), 2024)

Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators. - Lifan Zhao; Yanyan Shen (ICLR, 2024)

Proactive Model Adaptation Against Concept Drift for Online Time Series Forecasting. - Lifan Zhao; Yanyan Shen (KDD (1), 2025)

Less is More: Unlocking Specialization of Time Series Foundation Models via Structured Pruning. - Lifan Zhao; Yanyan Shen; Zhaoyang Liu; Xue Wang; Jiaji Deng (CoRR, 2025)