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2020 – today
- 2025
[j20]Qiuyue Zhang, Yunfeng Zhang, Fangxun Bao, Yang Ning, Caiming Zhang, Peide Liu:
Graph-based stock prediction with multisource information and relational data fusion. Inf. Sci. 690: 121561 (2025)- 2024
- [j19]Suwei Wang
, Yang Ning, Xuemei Li, Caiming Zhang:
Saliency Detection via Manifold Ranking on Multi-Layer Graph. IEEE Access 12: 6615-6627 (2024) - [j18]Fangxun Bao, Yongqi Zhao, Xinyue Zhang, Yunfeng Zhang, Yang Ning:
SARC-UNet: A coronary artery segmentation method based on spatial attention and residual convolution. Comput. Methods Programs Biomed. 255: 108353 (2024) - [j17]Wei Zhong, Li Mao, Yang Ning:
Fingerprint image denoising and inpainting using generative adversarial networks. Evol. Intell. 17(1): 599-607 (2024) - [j16]Yang Ning, Li Xiang, Hongyuan Jing, Xinna Shang, Shen Ping, Aidong Chen:
Insulator defect detection in complex scenarios based on cascaded networks with lightweight attention mechanism. Peer Peer Netw. Appl. 17(4): 2123-2136 (2024) - [j15]Bo Zheng, Zuteng Long, Yang Ning, Xin Ma:
Reliability evaluation in the zero-failure Weibull case based on double-modified hierarchical Bayes. Qual. Reliab. Eng. Int. 40(6): 3581-3596 (2024) - [j14]Omer Rauf, Yang Ning, Chen Ming, Haoxiang Ma:
Evaluation of Ground Pressure, Bearing Capacity, and Sinkage in Rigid-Flexible Tracked Vehicles on Characterized Terrain in Laboratory Conditions. Sensors 24(6): 1779 (2024) - 2023
- [c17]Yang Ning, Dawei Wang, Tianming Tan, Caiming Zhang:
DCA: Densely Cross-scale Attention Network for Anatomically-plausible Medical Image Segmentation. BIBM 2023: 2153-2158 - [c16]Hu Ji, Sun Yang, Liu Zhuang, Yang Ning, Wan Li-Fen, Xian Kai-Yi:
Research on Change Detection Technology of Equipment Appearance Defect in Substation Scene. CBS 2023: 280-285 - 2022
- [j13]Muxuan Liang, Young-Geun Choi, Yang Ning, Maureen A. Smith, Ying-Qi Zhao:
Estimation and inference on high-dimensional individualized treatment rule in observational data using split-and-pooled de-correlated score. J. Mach. Learn. Res. 23: 262:1-262:65 (2022) - [c15]Yang Ning, Shouyi Zhang, Wei Zhong, Peide Liu, Caiming Zhang:
A Hybrid Cross-Scale Transformer Architecture for Robust Medical Image Segmentation. BIBM 2022: 1677-1682 - [c14]Xiang Luo, Xiaoyuan Cao, Kai Luan, Qiang Bian, Zhi Li, Qiang Zhang, Yang Ning, Xinkai Miao:
Optimal Software Distribution and Allocation Strategies for Improved Datacenter Resource Utilization. ICCT 2022: 1868-1872 - [c13]Yuetong Liu, Rui Zhang, Yunfeng Zhang, Yang Ning, Xunxiang Yao, Huijian Han:
Recurrent Multi-connection Fusion Network for Single Image Deraining. VCIP 2022: 1-5 - 2021
- [j12]Zhen Xu, Albert D. Ritzhaupt, Karthikeyan Umapathy, Yang Ning, Chin-Chung Tsai:
Exploring college students' conceptions of learning computer science: a draw-a-picture technique study. Comput. Sci. Educ. 31(1): 60-82 (2021) - [j11]Yang Ning, Yunfeng Zhang, Xuemei Li, Caiming Zhang:
Towards accurate coronary artery calcium segmentation with multi-scale attention mechanism. IET Image Process. 15(6): 1359-1370 (2021) - [j10]Tao Zhang, Yang Ning, David Ruppert:
Optimal Sampling for Generalized Linear Models Under Measurement Constraints. J. Comput. Graph. Stat. 30(1): 106-114 (2021) - [j9]Xijing Zhang, Yang Ning, Xuemei Li, Caiming Zhang:
Anti-noise FCM image segmentation method based on quadratic polynomial. Signal Process. 178: 107767 (2021) - [c12]Sida Peng, Yang Ning:
Regression Discontinuity Design under Self-selection. AISTATS 2021: 118-126 - [c11]Yang Ning, Shouyi Zhang, Xiaoming Xi, Jie Guo, Peide Liu, Caiming Zhang:
CAC-EMVT: Efficient Coronary Artery Calcium Segmentation with Multi-scale Vision Transformers. BIBM 2021: 1462-1467 - [c10]Xiaoyuan Cao, Kai Luan, Xiang Luo, Qiang Bian, Zhi Li, Yang Ning, Xinkai Miao:
Accelerating Data Delivery Service with Collaborated Parallel Traffic Scheduling for Distributed Datacenters. ICCT 2021: 306-312 - [i4]Inbeom Lee, Siyi Deng, Yang Ning:
Optimal Variable Clustering for High-Dimensional Matrix Valued Data. CoRR abs/2112.12909 (2021) - 2020
- [j8]Yang Ning, Zhongyi Han, Li Zhong, Caiming Zhang:
DRAN: Deep recurrent adversarial network for automated pancreas segmentation. IET Image Process. 14(6): 1091-1100 (2020) - [j7]Carson Eisenach, Florentina Bunea, Yang Ning, Claudiu Dinicu:
High-Dimensional Inference for Cluster-Based Graphical Models. J. Mach. Learn. Res. 21: 53:1-53:55 (2020) - [c9]Huijie Feng, Chunpeng Wu, Guoyang Chen, Weifeng Zhang, Yang Ning:
Regularized Training and Tight Certification for Randomized Smoothed Classifier with Provable Robustness. AAAI 2020: 3858-3865 - [i3]Huijie Feng, Chunpeng Wu, Guoyang Chen, Weifeng Zhang, Yang Ning:
Regularized Training and Tight Certification for Randomized Smoothed Classifier with Provable Robustness. CoRR abs/2002.07246 (2020)
2010 – 2019
- 2019
- [j6]Yang Ning, Liu Chun Wah, Luo Erdan:
Stock price prediction based on error correction model and Granger causality test. Clust. Comput. 22(Supplement): 4849-4858 (2019) - [j5]Ying-Qi Zhao, Eric B. Laber, Yang Ning, Sumona Saha, Bruce E. Sands:
Efficient augmentation and relaxation learning for individualized treatment rules using observational data. J. Mach. Learn. Res. 20: 48:1-48:23 (2019) - [j4]Yang Ning, Yifang Liu, Yunfeng Zhang, Caiming Zhang:
Adaptive image rational upscaling with local structure as constraints. Multim. Tools Appl. 78(6): 6889-6911 (2019) - [c8]Huijie Feng, Yang Ning:
High-dimensional Mixed Graphical Model with Ordinal Data: Parameter Estimation and Statistical Inference. AISTATS 2019: 654-663 - [i2]Rui Duan, Yang Ning, Yong Chen:
Heterogeneity-aware and communication-efficient distributed statistical inference. CoRR abs/1912.09623 (2019) - 2018
- [j3]Tianluo Chen, Yang Ning, Amit Amritkar, Guan Qin:
Multi-GPU solution to the lattice Boltzmann method: An application in multiscale digital rock simulation for shale formation. Concurr. Comput. Pract. Exp. 30(19) (2018) - [j2]Zhuoran Yang, Yang Ning, Han Liu:
On Semiparametric Exponential Family Graphical Models. J. Mach. Learn. Res. 19: 57:1-57:59 (2018) - [c7]Yang Ning, Zhongyi Han, Li Zhong, Caiming Zhang:
Automated Pancreas Segmentation Using Recurrent Adversarial Learning. BIBM 2018: 927-934 - [c6]Qi Liu, Jinyang Li, Xiaoshan Sun, Junjie Wang, Yang Ning, Wei Zheng, Jian Li, Hengchang Liu:
Towards an Efficient and Real-Time Scheduling Platform for Mobile Charging Vehicles. ICA3PP (3) 2018: 402-416 - [c5]Yang Ning, Yang Huang, Jinyang Li, Qi Liu, Disheng Yang, Wei Zheng, Hengchang Liu:
ST-DRN: Deep Residual Networks for Spatio-Temporal Metro Stations Crowd Flows Forecast. IJCNN 2018: 1-8 - [i1]Carson Eisenach, Florentina Bunea, Yang Ning, Claudiu Dinicu:
High-Dimensional Inference for Cluster-Based Graphical Models. CoRR abs/1806.05139 (2018) - 2015
- [c4]Zhaoran Wang, Quanquan Gu, Yang Ning, Han Liu:
High Dimensional EM Algorithm: Statistical Optimization and Asymptotic Normality. NIPS 2015: 2521-2529 - 2013
- [j1]Takehiro Nakamura, Satoshi Nagata, Anass Benjebbour, Yoshihisa Kishiyama, Tang Hai, Xiaodong Shen, Yang Ning, Li Nan:
Trends in small cell enhancements in LTE advanced. IEEE Commun. Mag. 51(2): 98-105 (2013)
2000 – 2009
- 2009
- [c3]Ren Dawei, Yang Ning:
Monitoring Research of Mine IFH Based on IVR. ISCID (1) 2009: 80-82 - 2007
- [c2]Yang Ning, Hui Tian, Ping Zhang:
A Service-Differentiated Access Algorithm for Future Cooperative Networks. VTC Fall 2007: 1466-1469 - 2002
- [c1]Yang Ning, Yonghua Lin:
PInSE: Programmable Internet Search Engine. BalticDB&IS 2002: 181-200
Coauthor Index
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