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2020 – today
- 2024
[c22]Zexi Zhang, Lifan Zhao, Yanyan Shen, Bin Yao:
StockCL: Selective Contrastive Learning for Stock Trend Forecasting via Learnable Concepts. DASFAA (7) 2024: 275-284- [c21]Lifan Zhao, Yanyan Shen:
Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators. ICLR 2024 - [i6]Lifan Zhao, Yanyan Shen:
Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators. CoRR abs/2401.17548 (2024) - 2023
- [j27]Yanyan Shen
, Lifan Zhao, Weiyu Cheng, Zibin Zhang, Wenwen Zhou, Kangyi Lin:
RESUS: Warm-up Cold Users via Meta-learning Residual User Preferences in CTR Prediction. ACM Trans. Inf. Syst. 41(3): 69:1-69:26 (2023) - [c20]Lifan Zhao, Shuming Kong, Yanyan Shen:
DoubleAdapt: A Meta-learning Approach to Incremental Learning for Stock Trend Forecasting. KDD 2023: 3492-3503 - [i5]Lifan Zhao, Shuming Kong, Yanyan Shen:
DoubleAdapt: A Meta-learning Approach to Incremental Learning for Stock Trend Forecasting. CoRR abs/2306.09862 (2023) - [i4]Liping Wang, Jiawei Li, Lifan Zhao, Zhizhuo Kou, Xiaohan Wang, Xinyi Zhu, Hao Wang, Yanyan Shen, Lei Chen:
Methods for Acquiring and Incorporating Knowledge into Stock Price Prediction: A Survey. CoRR abs/2308.04947 (2023) - 2022
- [j26]Muyang Ma, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Lifan Zhao, Peiyu Liu, Jun Ma, Maarten de Rijke:
Mixed Information Flow for Cross-Domain Sequential Recommendations. ACM Trans. Knowl. Discov. Data 16(4): 64:1-64:32 (2022) - [c19]Lifan Zhao, Yunlong Meng, Lin Xu:
OA-FSUI2IT: A Novel Few-Shot Cross Domain Object Detection Framework with Object-Aware Few-Shot Unsupervised Image-to-Image Translation. AAAI 2022: 3426-3435 - [c18]Yunlong Meng, Lifan Zhao, Lin Xu:
Unsupervised Image-to-Image Translation with Patch Pyramid Dual Contrastive Learning for Cross Domain Object Detection. ICME 2022: 1-6 - [i3]Yanyan Shen, Lifan Zhao, Weiyu Cheng, Zibin Zhang, Wenwen Zhou, Kangyi Lin:
RESUS: Warm-Up Cold Users via Meta-Learning Residual User Preferences in CTR Prediction. CoRR abs/2210.16080 (2022) - 2021
- [j25]Min Bao, Song Zhou, Lei Yang, Mengdao Xing, Lifan Zhao:
Data-Driven Motion Compensation for Airborne Bistatic SAR Imagery Under Fast Factorized Back Projection Framework. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 1728-1740 (2021) - 2020
- [j24]Lu Wang, Lifan Zhao, Lei Yu, Jingjing Wang, Guoan Bi:
Structured Bayesian learning for recovery of clustered sparse signal. Signal Process. 166 (2020) - [j23]Lei Yang, Pucheng Li, Su Zhang, Lifan Zhao, Song Zhou, Mengdao Xing:
Cooperative Multitask Learning for Sparsity-Driven SAR Imagery and Nonsystematic Error Autocalibration. IEEE Trans. Geosci. Remote. Sens. 58(7): 5132-5147 (2020) - [i2]Muyang Ma, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Lifan Zhao, Jun Ma, Maarten de Rijke:
Mixed Information Flow for Cross-domain Sequential Recommendations. CoRR abs/2012.00485 (2020)
2010 – 2019
- 2019
- [j22]Song Zhou, Lei Yang, Lifan Zhao, Yuhao Wang, Huilin Zhou, Liangbing Chen, Mengdao Xing:
A New Fast Factorized Back Projection Algorithm for Bistatic Forward-Looking SAR Imaging Based on Orthogonal Elliptical Polar Coordinate. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(5): 1508-1520 (2019) - [j21]Guang Hua, Lifan Zhao, Haijian Zhang, Guoan Bi, Yong Xiang:
Random Matching Pursuit for Image Watermarking. IEEE Trans. Circuits Syst. Video Technol. 29(3): 625-639 (2019) - [c17]Song Zhou, Lei Yang, Lifan Zhao, Yuhao Wang, Chaoqun Zhang:
An Improved Fast Time-Domain Algorithm for Bistatic Forward-Looking Sar Imaging. IGARSS 2019: 2587-2590 - [c16]Lu Wang, Lifan Zhao, Guoan Bi, Xin Liu:
Alternative Extended Block Sparse Bayesian Learning for Cluster Structured Sparse Signal Recovery. WISATS (1) 2019: 3-12 - 2018
- [j20]Qiang Wang, Lu Wang, Xiangyang Zeng, Lifan Zhao:
An Improved Deep Clustering Model for Underwater Acoustical Targets. Neural Process. Lett. 48(3): 1633-1644 (2018) - [j19]Lei Yang, Song Zhou, Lifan Zhao, Mengdao Xing:
Coherent Auto-Calibration of APE and NsRCM under Fast Back-Projection Image Formation for Airborne SAR Imaging in Highly-Squint Angle. Remote. Sens. 10(2): 321 (2018) - [j18]Lu Wang, Yanshan Liu, Lifan Zhao, Qiang Wang, Xiangyang Zeng, Kean Chen:
Acoustic source localization in strong reverberant environment by parametric Bayesian dictionary learning. Signal Process. 143: 232-240 (2018) - [j17]Lu Wang, Lifan Zhao, Susanto Rahardja, Guoan Bi:
Alternative to Extended Block Sparse Bayesian Learning and Its Relation to Pattern-Coupled Sparse Bayesian Learning. IEEE Trans. Signal Process. 66(10): 2759-2771 (2018) - [c15]Yong Liu, Lifan Zhao, Guimei Liu, Xinyan Lu, Peng Gao, Xiao-Li Li, Zhihui Jin:
Dynamic Bayesian Logistic Matrix Factorization for Recommendation with Implicit Feedback. IJCAI 2018: 3463-3469 - [c14]Lifan Zhao, Shen-Tat Goh, Wee Siong Ng:
A statistical sparsity-based method for sensor array calibration. WF-IoT 2018: 191-194 - 2017
- [j16]Lei Yang, Lifan Zhao, Song Zhou, Guoan Bi, Huan Yang:
Spectrum-Oriented FFBP Algorithm in Quasi-Polar Grid for SAR Imaging on Maneuvering Platform. IEEE Geosci. Remote. Sens. Lett. 14(5): 724-728 (2017) - [j15]Lifan Zhao, Xiumei Li, Lu Wang, Guoan Bi:
Autocalibrated Sampling Rate Conversion in the Frequency Domain [Tips & Tricks]. IEEE Signal Process. Mag. 34(3): 101-106 (2017) - [j14]Lei Yang, Lifan Zhao, Song Zhou, Guoan Bi:
Sparsity-Driven SAR Imaging for Highly Maneuvering Ground Target by the Combination of Time-Frequency Analysis and Parametric Bayesian Learning. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(4): 1443-1455 (2017) - [j13]Song Zhou, Lei Yang, Lifan Zhao, Guoan Bi:
Quasi-Polar-Based FFBP Algorithm for Miniature UAV SAR Imaging Without Navigational Data. IEEE Trans. Geosci. Remote. Sens. 55(12): 7053-7065 (2017) - [j12]Lifan Zhao, Xiumei Li, Lu Wang, Guoan Bi:
Computationally Efficient Wide-Band DOA Estimation Methods Based on Sparse Bayesian Framework. IEEE Trans. Veh. Technol. 66(12): 11108-11121 (2017) - [c13]Chen Chen, Wen-De Zhong, Lifan Zhao:
Sparse Bayesian RVM regression based channel estimation for IM/DD OFDM-VLC systems with reduced training overhead. ICC Workshops 2017: 162-167 - 2016
- [j11]Song Zhou, Lei Yang, Lifan Zhao, Guoan Bi:
Forward Velocity Extraction From UAV Raw SAR Data Based on Adaptive Notch Filtering. IEEE Geosci. Remote. Sens. Lett. 13(9): 1211-1215 (2016) - [j10]Lifan Zhao, Lu Wang, Guoan Bi, Shenghong Li, Lei Yang, Haijian Zhang:
Structured sparsity-driven autofocus algorithm for high-resolution radar imagery. Signal Process. 125: 376-388 (2016) - [j9]Lifan Zhao, Lu Wang, Lei Yang, Abdelhak M. Zoubir, Guoan Bi:
The Race to Improve Radar Imagery: An overview of recent progress in statistical sparsity-based techniques. IEEE Signal Process. Mag. 33(6): 85-102 (2016) - [j8]Lei Yang, Lifan Zhao, Guoan Bi, Liren Zhang:
SAR Ground Moving Target Imaging Algorithm Based on Parametric and Dynamic Sparse Bayesian Learning. IEEE Trans. Geosci. Remote. Sens. 54(4): 2254-2267 (2016) - [c12]Guang Hua, Lifan Zhao, Guoan Bi:
A secure data hiding system based on over-complete dictionary partitioning. AIM 2016: 1047-1052 - [c11]Gang Xu, Lei Yang, Lifan Zhao, Guoan Bi:
ISAR maneuvering targets imaging and motion estimation from parametric sparse bayesian learning. IGARSS 2016: 3254-3257 - [c10]Song Zhou, Lei Yang, Lifan Zhao, Guoan Bi:
Spectrum analysis of SAR image in polar grid system for back projection algorithm. IGARSS 2016: 5055-5058 - 2015
- [j7]Zhen Zuo, Gang Wang, Bing Shuai, Lifan Zhao, Qingxiong Yang:
Exemplar based Deep Discriminative and Shareable Feature Learning for scene image classification. Pattern Recognit. 48(10): 3004-3015 (2015) - [j6]Lu Wang, Lifan Zhao, Guoan Bi, Chunru Wan:
Sparse Representation-Based ISAR Imaging Using Markov Random Fields. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(8): 3941-3953 (2015) - [j5]Lifan Zhao, Lu Wang, Guoan Bi, Liren Zhang, Haijian Zhang:
Robust Frequency-Hopping Spectrum Estimation Based on Sparse Bayesian Method. IEEE Trans. Wirel. Commun. 14(2): 781-793 (2015) - [c9]Lei Yang, Lifan Zhao, Xiumei Li, Guoan Bi:
Investigation on SAR ground moving target imaging under sparse Bayesian learning framework. ChinaSIP 2015: 648-652 - [c8]Bing Shuai, Gang Wang, Zhen Zuo, Bing Wang, Lifan Zhao:
Integrating parametric and non-parametric models for scene labeling. CVPR 2015: 4249-4258 - [c7]Lei Yang, Lifan Zhao, Lu Wang, Guoan Bi:
Ground moving target imaging by synthetic aperture radar based on an unified framework of keystone transformation. ICASSP 2015: 2759-2763 - [c6]Lu Wang, Lifan Zhao, Guoan Bi, Chunru Wan:
Wideband DOA estimation by joint sparse representation under Bayesian learning framework. DSP 2015: 366-369 - [c5]Yi Fang, Guojun Han, Pingping Chen, Lifan Zhao, Lingjun Kong:
Protograph LDPC codes for STBC Rayleigh fading channels. ISCIT 2015: 93-96 - [i1]Zhen Zuo, Gang Wang, Bing Shuai, Lifan Zhao, Qingxiong Yang:
Exemplar Based Deep Discriminative and Shareable Feature Learning for Scene Image Classification. CoRR abs/1508.05306 (2015) - 2014
- [j4]Lu Wang, Lifan Zhao, Guoan Bi, Chunru Wan:
Hierarchical Sparse Signal Recovery by Variational Bayesian Inference. IEEE Signal Process. Lett. 21(1): 110-113 (2014) - [j3]Lu Wang, Lifan Zhao, Guoan Bi, Chunru Wan, Lei Yang:
Enhanced ISAR Imaging by Exploiting the Continuity of the Target Scene. IEEE Trans. Geosci. Remote. Sens. 52(9): 5736-5750 (2014) - [j2]Lifan Zhao, Lu Wang, Guoan Bi, Lei Yang:
An Autofocus Technique for High-Resolution Inverse Synthetic Aperture Radar Imagery. IEEE Trans. Geosci. Remote. Sens. 52(10): 6392-6403 (2014) - [c4]Lifan Zhao, Lu Wang, Guoan Bi, Haijian Zhang:
Blind Frequency Hopping Spectrum Estimation: A Bayesian Approach. BDCloud 2014: 669-675 - [c3]Zhen Zuo, Gang Wang, Bing Shuai, Lifan Zhao, Qingxiong Yang, Xudong Jiang:
Learning Discriminative and Shareable Features for Scene Classification. ECCV (1) 2014: 552-568 - [c2]Haijian Zhang, Guoan Bi, Lifan Zhao, Sirajudeen Gulam Razul, Chong Meng Samson See:
Time-varying filtering and separation of nonstationary FM signals in strong noise environments. ICASSP 2014: 4171-4175 - [c1]Lu Wang, Lifan Zhao, Guoan Bi, Liren Zhang:
ISAR imaging by exploiting the continuity of target scene. ICASSP 2014: 6072-6076 - 2013
- [j1]Lifan Zhao, Guoan Bi, Lu Wang, Haijian Zhang:
An Improved Auto-Calibration Algorithm Based on Sparse Bayesian Learning Framework. IEEE Signal Process. Lett. 20(9): 889-892 (2013)
Coauthor Index
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last updated on 2024-09-13 01:42 CEST by the dblp team
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