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Nian Wang
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2020 – today
- 2025
- [j47]Yan Zhang, Xudong Zhou, Nian Wang, Jun Tang, Tao Xuan:
DouN-GNN:Double nodes graph neural network for few-shot learning. Neurocomputing 617: 128970 (2025) - [j46]Cong Zhang, Yanzhao Su, Nian Wang, Yunwei Lan, Tao Wang, Aihua Li:
Hard-sample guided cluster refinement for unsupervised person re-identification. Signal Image Video Process. 19(1): 39 (2025) - 2024
- [j45]Wei Huo, Ke Wang, Jun Tang, Nian Wang, Dong Liang:
GaitSCM: Causal representation learning for gait recognition. Comput. Vis. Image Underst. 243: 103995 (2024) - [j44]Yan Zhang, Liqing Cao, Changkang Xu, Nian Wang:
Incomplete Footprint Retrieval Based on Multi-Scale Feature Orthogonal Fusion. Int. J. Pattern Recognit. Artif. Intell. 38(7): 2456004:1-2456004:16 (2024) - [j43]Ning Yin, Ke Wang, Nian Wang, Jun Tang, Wenxia Bao:
Three-dimensional human pose estimation based on contact pressure. J. Electronic Imaging 33(4) (2024) - [j42]Yan Zhang, Xudong Zhou, Ke Wang, Nian Wang, Zenghui Li:
A multi-scale hierarchical node graph neural network for few-shot learning. Multim. Tools Appl. 83(20): 58201-58223 (2024) - [j41]Xinyue Han, Surendra Maharjan, Jie Chen, Yi Zhao, Yi Qi, Leonard E. White, G. Allan Johnson, Nian Wang:
High-resolution diffusion magnetic resonance imaging and spatial-transcriptomic in developing mouse brain. NeuroImage 297: 120734 (2024) - [j40]Ning Yin, Wenxia Bao, Rongchao Yang, Nian Wang, Wenqiang Liu:
LWSDNet: A Lightweight Wheat Scab Detection Network Based on UAV Remote Sensing Images. Remote. Sens. 16(15): 2820 (2024) - [j39]Yuanliang Xue, Guodong Jin, Tao Shen, Lining Tan, Nian Wang, Jing Gao, Lianfeng Wang:
Consistent Representation Mining for Multi-Drone Single Object Tracking. IEEE Trans. Circuits Syst. Video Technol. 34(11): 10845-10859 (2024) - [j38]Yuanliang Xue, Tao Shen, Guodong Jin, Lining Tan, Nian Wang, Lianfeng Wang, Jing Gao:
Handling Occlusion in UAV Visual Tracking With Query-Guided Redetection. IEEE Trans. Instrum. Meas. 73: 1-17 (2024) - [j37]Ming Zhu, Chen Zhao, Nian Wang, Feiyang Gu, Yu Liu, Xin Li:
Domain-aware double attention network for zero-shot sketch-based image retrieval with similarity loss. Vis. Comput. 40(5): 3091-3101 (2024) - [c23]Nian Wang, Chunlai Zhao, Zeyang Zhang, Guoqing Zhang, Junfei Ma, Haoqi Hu, Lin Zhang:
Path Tracking for Four-Wheel Steering and Four-Wheel Drive Autonomous Vehicles: Integration of Backstepping and Optimization Approaches. INDIN 2024: 1-7 - [c22]Juhyung Ha, Nian Wang, Surendra Maharjan, Xuhong Zhang:
3D Volumetric Super-Resolution in Radiology using 3D RRDB-GAN. ISBI 2024: 1-5 - [i3]Juhyung Ha, Nian Wang, Surendra Maharjan, Xuhong Zhang:
3D Volumetric Super-Resolution in Radiology Using 3D RRDB-GAN. CoRR abs/2402.04171 (2024) - [i2]Peng Liu, Nian Wang, Cong Xu, Ming Zhao, Bin Wang, Yi Ren:
Enhancing User Interest based on Stream Clustering and Memory Networks in Large-Scale Recommender Systems. CoRR abs/2405.13238 (2024) - 2023
- [j36]Hao Feng, Nian Wang, Fa Zhao, Wei Huo:
Deep attention sampling hashing for efficient image retrieval. Neurocomputing 559: 126764 (2023) - [j35]Yunwei Lan, Zhigao Cui, Yanzhao Su, Nian Wang, Aihua Li, Qinghui Li, Xiao Zhong, Cong Zhang:
SSKDN: a semisupervised knowledge distillation network for single image dehazing. J. Electronic Imaging 32(1) (2023) - [j34]Jun Tang, Zhentao Wang, Guanyu Hao, Ke Wang, Yan Zhang, Nian Wang, Dong Liang:
SAE-PPL: Self-guided attention encoder with prior knowledge-guided pseudo labels for weakly supervised video anomaly detection. J. Vis. Commun. Image Represent. 97: 103967 (2023) - [j33]Ming Zhu, Chen Zhao, Nian Wang, Jun Tang, Pu Yan:
Multi-feature fusion for fine-grained sketch-based image retrieval. Multim. Tools Appl. 82(24): 38067-38076 (2023) - [j32]Yan Zhang, Yongsheng Sun, Nian Wang, Zijian Gao, Jing Zhu, Jun Tang:
Multi-scale confusion and filling mechanism for pressure footprint recognition. Neural Comput. Appl. 35(1): 375-392 (2023) - [j31]Feng Chen, Nian Wang, Jun Tang, Pu Yan, Jun Yu:
Unsupervised person re-identification via multi-domain joint learning. Pattern Recognit. 138: 109369 (2023) - [j30]Yanzhao Su, Chuan He, Zhigao Cui, Aihua Li, Nian Wang:
Physical model and image translation fused network for single-image dehazing. Pattern Recognit. 142: 109700 (2023) - [j29]Zhigao Cui, Nian Wang, Yanzhao Su, Wei Zhang, Yunwei Lan, Aihua Li:
ECANet: enhanced context aggregation network for single image dehazing. Signal Image Video Process. 17(2): 471-479 (2023) - [j28]Yuanliang Xue, Guodong Jin, Tao Shen, Lining Tan, Nian Wang, Jing Gao, Lianfeng Wang:
SmallTrack: Wavelet Pooling and Graph Enhanced Classification for UAV Small Object Tracking. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [c21]Mamata Shrestha, Nian Wang, Ukash Nakarmi:
On Training Model Bias of Deep Learning based Super-resolution Frameworks for Magnetic Resonance Imaging. BHI 2023: 1-5 - [c20]Juhyung Ha, Nian Wang, Surendra Maharjan, Xuhong Zhang:
Super-Resolution MRH Reconstruction for Mouse Models. BI 2023: 215-226 - 2022
- [j27]Yunwei Lan, Zhigao Cui, Yanzhao Su, Nian Wang, Aihua Li, Deshuai Han:
Physical-model guided self-distillation network for single image dehazing. Frontiers Neurorobotics 16 (2022) - [j26]Yunwei Lan, Zhigao Cui, Yanzhao Su, Nian Wang, Aihua Li, Yanping Cai, Jiping Cao:
Single-image deraining network based on multistage feature fusion. J. Electronic Imaging 31(4) (2022) - [j25]Stephanie Crater, Surendra Maharjan, Yi Qi, Qi Zhao, Gary P. Cofer, James C. Cook, G. Allan Johnson, Nian Wang:
Resolution and b value dependent structural connectome in ex vivo mouse brain. NeuroImage 255: 119199 (2022) - [j24]Wenxia Bao, Xiang Du, Nian Wang, Mu Yuan, Xianjun Yang:
A Defect Detection Method Based on BC-YOLO for Transmission Line Components in UAV Remote Sensing Images. Remote. Sens. 14(20): 5176 (2022) - [j23]Nian Wang, Zhigao Cui, Yanzhao Su, Chuan He, Aihua Li:
Multiscale Supervision-Guided Context Aggregation Network for Single Image Dehazing. IEEE Signal Process. Lett. 29: 70-74 (2022) - [c19]Nian Wang, Zhigao Cui, Aihua Li, Yanzhao Su, Yunwei Lan:
Multi-priors Guided Dehazing Network Based on Knowledge Distillation. PRCV (4) 2022: 15-26 - [c18]Xu Zhao, Yi Ren, Ying Du, Shenzheng Zhang, Nian Wang:
Improving Item Cold-start Recommendation via Model-agnostic Conditional Variational Autoencoder. SIGIR 2022: 2595-2600 - [i1]Xu Zhao, Yi Ren, Ying Du, Shenzheng Zhang, Nian Wang:
Improving Item Cold-start Recommendation via Model-agnostic Conditional Variational Autoencoder. CoRR abs/2205.13795 (2022) - 2021
- [j22]Ming Zhu, Chun Chen, Nian Wang, Jun Tang, Chen Zhao:
Mixed attention dense network for sketch classification. Appl. Intell. 51(10): 7298-7305 (2021) - [j21]Feng Chen, Nian Wang, Jun Tang, Fan Zhu:
A feature disentangling approach for person re-identification via self-supervised data augmentation. Appl. Soft Comput. 100: 106939 (2021) - [j20]Nian Wang, Zhigao Cui, Yanzhao Su, Chuan He, Yunwei Lan, Aihua Li:
Prior-guided multiscale network for single-image dehazing. IET Image Process. 15(13): 3368-3379 (2021) - [j19]Hao Feng, Nian Wang, Jun Tang, Jie Chen, Feng Chen:
Multi-granularity feature learning network for deep hashing. Neurocomputing 423: 274-283 (2021) - [j18]Yan Zhang, Yongsheng Sun, Nian Wang, Zijian Gao, Feng Chen, Chenfei Wang, Jun Tang:
MSEC: Multi-Scale Erasure and Confusion for fine-grained image classification. Neurocomputing 449: 1-14 (2021) - [j17]Hao Feng, Nian Wang, Jun Tang:
Deep Weibull hashing with maximum mean discrepancy quantization for image retrieval. Neurocomputing 464: 95-106 (2021) - [j16]Feng Chen, Nian Wang, Jun Tang, Dong Liang:
A negative transfer approach to person re-identification via domain augmentation. Inf. Sci. 549: 1-12 (2021) - [j15]Nian Wang, Min Zeng, Yiming Li, Fang-Xiang Wu, Min Li:
Essential Protein Prediction Based on node2vec and XGBoost. J. Comput. Biol. 28(7): 687-700 (2021) - [j14]Wenxia Bao, Yangxun Ren, Nian Wang, Gensheng Hu, Xianjun Yang:
Detection of Abnormal Vibration Dampers on Transmission Lines in UAV Remote Sensing Images with PMA-YOLO. Remote. Sens. 13(20): 4134 (2021) - [c17]Min Zeng, Nian Wang, Yifan Wu, Yiming Li, Fang-Xiang Wu, Min Li:
Improving human essential protein prediction using only protein sequences via ensemble learning. BIBM 2021: 98-103 - 2020
- [j13]Ming Zhu, Shuo Cheng, Qiang Yao, Jun Tang, Nian Wang:
Towards affine-invariant graph matching: A directed graph based method. Digit. Signal Process. 106: 102833 (2020) - [j12]Ruoran Huang, Nian Wang, Chuanqi Han, Fang Yu, Li Cui:
TNAM: A tag-aware neural attention model for Top-N recommendation. Neurocomputing 385: 1-12 (2020) - [j11]Feng Chen, Nian Wang, Jun Tang, Dong Liang, Hao Feng:
Self-supervised data augmentation for person re-identification. Neurocomputing 415: 48-59 (2020) - [j10]Nian Wang, Leonard E. White, Yi Qi, Gary P. Cofer, G. Allan Johnson:
Cytoarchitecture of the mouse brain by high resolution diffusion magnetic resonance imaging. NeuroImage 216: 116876 (2020) - [j9]Nian Wang, Robert J. Anderson, David G. Ashbrook, Vivek Gopalakrishnan, Youngser Park, Carey E. Priebe, Yi Qi, Rick Laoprasert, Joshua T. Vogelstein, Robert W. Williams, G. Allan Johnson:
Variability and heritability of mouse brain structure: Microscopic MRI atlases and connectomes for diverse strains. NeuroImage 222: 117274 (2020) - [j8]Ming Zhu, Xuqing Wang, Jun Tang, Nian Wang, Lei Qu:
Attentive multi-stage convolutional neural network for crowd counting. Pattern Recognit. Lett. 135: 279-285 (2020) - [c16]Nian Wang, Min Zeng, Jiashuai Zhang, Yiming Li, Min Li:
Ess-NEXG: Predict Essential Proteins by Constructing a Weighted Protein Interaction Network Based on Node Embedding and XGBoost. ISBRA 2020: 95-104
2010 – 2019
- 2019
- [j7]Xiaoyu Cui, Fengying Che, Nian Wang, Xiankui Liu, Yuyan Zhu, Yue Zhao, Jianbin Bi, Zhenhua Li, Gejun Zhang:
Preoperative Prediction of Infection Stones Using Radiomics Features From Computed Tomography. IEEE Access 7: 122675-122683 (2019) - [c15]Nian Wang, Tingting Li, Zhe Zhang, Li Cui:
TLTL: An Active Transfer Learning Method for Internet of Things Applications. ICC 2019: 1-6 - [c14]Youyu Wang, Daming Li, Chengwei Hu, Yaobing Wang, Zixin Tang, Nian Wang:
Review of Research on the Chinese Space Station Robots. ICIRA (4) 2019: 423-430 - [c13]Nian Wang, Zhe Zhang, Tingting Li, Jing Xiao, Li Cui:
SGSF: a small groups based serial fusion method. IPSN 2019: 97-108 - [c12]Geert Hellings, Philippe Roussel, Nian Wang, Roman Boschke, Shih-Hung Chen, Marko Simicic, Mirko Scholz, Soeren Stoedel, Kris Myny, Dimitri Linten, Paul Hellings, Nowab Reza M. D. Ashif:
Concise Analytical Expression for Wunsch-Bell 1-D Pulsed Heating and Applications in ESD Using TLP. IRPS 2019: 1-6 - [c11]Nian Wang, Zhe Zhang, Jing Xiao, Li Cui:
DeepLap: A Deep Learning based Non-Specific Low Back Pain Symptomatic Muscles Recognition System. SECON 2019: 1-9 - 2018
- [c10]Zhe Zhang, Nian Wang, Li Cui:
Fine-Fit: A Fine-grained Gym Exercises Recognition System. APCC 2018: 492-497 - [c9]Xuyang Hu, Fan Zhu, Li Liu, Jin Xie, Jun Tang, Nian Wang, Fumin Shen, Ling Shao:
Structure-Aware 3D Shape Synthesis from Single-View Images. BMVC 2018: 230 - [c8]Chaochao Fan, Jun Tang, Nian Wang, Dong Liang:
Rich Convolutional Features Fusion for Crowd Counting. FG 2018: 394-398 - [c7]Jun Tang, XuanMeng Li, Nian Wang, Ming Zhu:
Discriminative Correlation Quantization for Cross-Modal Similarity Retrieval. PCM (1) 2018: 700-710 - 2017
- [j6]Matthew J. Cronin, Nian Wang, Kyle Decker, Hongjiang Wei, Wen-Zhen Zhu, Chunlei Liu:
Exploring the origins of echo-time-dependent quantitative susceptibility mapping (QSM) measurements in healthy tissue and cerebral microbleeds. NeuroImage 149: 98-113 (2017) - [c6]Nian Wang, Shih-Hung Chen, Geert Hellings, Kris Myny, Soeren Steudel, Mirko Scholz, Roman Boschke, Dimitri Linten, Guido Groeseneken:
ESD characterisation of a-IGZO TFTs on Si and foil substrates. ESSDERC 2017: 276-279 - [c5]Guangfei Yang, Huanghui Miao, Jun Tang, Dong Liang, Nian Wang:
Multi-kernel Hashing with Semantic Correlation Maximization for Cross-Modal Retrieval. ICIG (1) 2017: 23-34 - 2016
- [j5]Dawei Ding, Xiaoyun Zhang, Jinde Cao, Nian Wang, Dong Liang:
Bifurcation control of complex networks model via PD controller. Neurocomputing 175: 1-9 (2016) - [j4]Ke Wang, Jun Tang, Nian Wang, Ling Shao:
Semantic Boosting Cross-Modal Hashing for efficient multimedia retrieval. Inf. Sci. 330: 199-210 (2016) - 2015
- [j3]Wei Li, Nian Wang, Fang Yu, Hui Han, Wei Cao, Rebecca Romero, Bundhit Tantiwongkosi, Timothy Q. Duong, Chunlei Liu:
A method for estimating and removing streaking artifacts in quantitative susceptibility mapping. NeuroImage 108: 111-122 (2015) - [c4]Deqiang Han, Zongxia Wang, Weicheng Xu, Nian Wang:
Rehabilitation Training System for the Motor Deficit of Upper Extremity. ISADS 2015: 162-166 - 2014
- [j2]Dawei Ding, Xuemei Qin, Tingting Wu, Nian Wang, Dong Liang:
Hopf bifurcation control of congestion control model in a wireless access network. Neurocomputing 144: 159-168 (2014)
2000 – 2009
- 2007
- [j1]Jun Tang, Dong Liang, Nian Wang, Yi-Zheng Fan:
A Laplacian spectral method for stereo correspondence. Pattern Recognit. Lett. 28(12): 1391-1399 (2007) - [c3]Jun Tang, Dong Liang, Nian Wang, Zhao-Hong Jia:
Spectral Correspondence Using Local Similarity Analysis. CIS 2007: 395-399 - [c2]Jun Tang, Nian Wang, Dong Liang, Yi-Zheng Fan, Zhao-Hong Jia:
Spectral Correspondence Using the TPS Deformation Model. ISNN (1) 2007: 572-581 - [c1]Nian Wang, Jun Tang, Jiang Zhang, Yi-Zheng Fan, Dong Liang:
Spectral Edit Distance Method for Image Clustering. APWeb/WAIM 2007: 350-357
Coauthor Index
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last updated on 2025-01-26 23:44 CET by the dblp team
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