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Publication search results
found 27 matches
- 2024
- Jing-hao Qu, Xiao-ran Qin, Zi-jun Xie, Jia-he Qian, Yang Zhang, Xiao-nan Sun, Yu-zhao Sun, Rong-mei Peng, Ge-ge Xiao, Jing Lin, Xiaoyan Bian, Tie-hong Chen, Yan Cheng, Shao-feng Gu, Hai-kun Wang, Jing Hong:
Establishment of an automatic diagnosis system for corneal endothelium diseases using artificial intelligence. J. Big Data 11(1): 67 (2024) - Xiaoxu Li, Zhen Li, Jiyang Xie, Xiaochen Yang, Jing-Hao Xue, Zhanyu Ma:
Self-reconstruction network for fine-grained few-shot classification. Pattern Recognit. 153: 110485 (2024) - Qijie Shao, Pengcheng Guo, Jinghao Yan, Pengfei Hu, Lei Xie:
Decoupling and Interacting Multi-Task Learning Network for Joint Speech and Accent Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 32: 459-470 (2024) - 2023
- Ying Zhang, Mutahar Safdar, Jiarui Xie, Jinghao Li, Manuel Sage, Yaoyao Fiona Zhao:
A systematic review on data of additive manufacturing for machine learning applications: the data quality, type, preprocessing, and management. J. Intell. Manuf. 34(8): 3305-3340 (2023) - Zhanyu Ma, Xiaoou Lu, Jiyang Xie, Zhen Yang, Jing-Hao Xue, Zheng-Hua Tan, Bo Xiao, Jun Guo:
On the Comparisons of Decorrelation Approaches for Non-Gaussian Neutral Vector Variables. IEEE Trans. Neural Networks Learn. Syst. 34(4): 1823-1837 (2023) - Qijie Shao, Pengcheng Guo, Jinghao Yan, Pengfei Hu, Lei Xie:
Decoupling and Interacting Multi-Task Learning Network for Joint Speech and Accent Recognition. CoRR abs/2311.07062 (2023) - 2022
- Jiyang Xie, Zhanyu Ma, Jianjun Lei, Guoqiang Zhang, Jing-Hao Xue, Zheng-Hua Tan, Jun Guo:
Advanced Dropout: A Model-Free Methodology for Bayesian Dropout Optimization. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 4605-4625 (2022) - Chunhui Duan, Jinghao Li, Yanan Chen, Zhi Ding, Mingguo Ma, Jing Xie, Li Yao, Xuguang Tang:
Spatiotemporal Dynamics of Terrestrial Vegetation and Its Driver Analysis over Southwest China from 1982 to 2015. Remote. Sens. 14(10): 2497 (2022) - Jinghao Zhou, Chen Wei, Huiyu Wang, Wei Shen, Cihang Xie, Alan L. Yuille, Tao Kong:
Image BERT Pre-training with Online Tokenizer. ICLR 2022 - Qijie Shao, Jinghao Yan, Jian Kang, Pengcheng Guo, Xian Shi, Pengfei Hu, Lei Xie:
Linguistic-Acoustic Similarity Based Accent Shift for Accent Recognition. INTERSPEECH 2022: 3719-3723 - Qijie Shao, Jinghao Yan, Jian Kang, Pengcheng Guo, Xian Shi, Pengfei Hu, Lei Xie:
Linguistic-Acoustic Similarity Based Accent Shift for Accent Recognition. CoRR abs/2204.03398 (2022) - 2021
- Guodong Zhang, Jing-Hao Xue, Pengwei Xie, Sifan Yang, Guijin Wang:
Non-Local Aggregation for RGB-D Semantic Segmentation. IEEE Signal Process. Lett. 28: 658-662 (2021) - Jiyang Xie, Zhanyu Ma, Jing-Hao Xue, Guoqiang Zhang, Jian Sun, Yinhe Zheng, Jun Guo:
DS-UI: Dual-Supervised Mixture of Gaussian Mixture Models for Uncertainty Inference in Image Recognition. IEEE Trans. Image Process. 30: 9208-9219 (2021) - Yongqiang Tang, Yuan Xie, Xuebing Yang, Jinghao Niu, Wensheng Zhang:
Tensor Multi-Elastic Kernel Self-Paced Learning for Time Series Clustering. IEEE Trans. Knowl. Data Eng. 33(3): 1223-1237 (2021) - Mingyue Hao, Jinghao Yuan, Bingcong Lu, Li Song, Rong Xie, Wenjun Zhang:
Buffer Displacement Based Online Learning Algorithm For Low Latency HTTP Adaptive Streaming. BMSB 2021: 1-6 - Zhibin Xiao, Jing-Hao Xue, Pengwei Xie, Guijin Wang:
FETNet: Feature Exchange Transformer Network for RGB-D Object Detection. BMVC 2021: 314 - Chao Wang, Chun Zhang, Jinghao Wang, Tianyu Fan, Xiang Xie:
3D human pose estimation base on weighted joint loss. ICAIIS 2021: 63:1-63:5 - Jinghao Xie, Jigang Wu, Tianyou Liang, Min Meng:
Stack-VAE Network for Zero-Shot Learning. ICONIP (4) 2021: 250-261 - Jinghao Zhou, Chen Wei, Huiyu Wang, Wei Shen, Cihang Xie, Alan L. Yuille, Tao Kong:
iBOT: Image BERT Pre-Training with Online Tokenizer. CoRR abs/2111.07832 (2021) - 2020
- Zhanyu Ma, Jiyang Xie, Yuping Lai, Jalil Taghia, Jing-Hao Xue, Jun Guo:
Insights Into Multiple/Single Lower Bound Approximation for Extended Variational Inference in Non-Gaussian Structured Data Modeling. IEEE Trans. Neural Networks Learn. Syst. 31(7): 2240-2254 (2020) - Jiyang Xie, Zhanyu Ma, Guoqiang Zhang, Jing-Hao Xue, Zheng-Hua Tan, Jun Guo:
Advanced Dropout: A Model-free Methodology for Bayesian Dropout Optimization. CoRR abs/2010.05244 (2020) - Jiyang Xie, Zhanyu Ma, Jing-Hao Xue, Guoqiang Zhang, Jun Guo:
DS-UI: Dual-Supervised Mixture of Gaussian Mixture Models for Uncertainty Inference. CoRR abs/2011.08595 (2020) - 2019
- Jiyang Xie, Zhanyu Ma, Guoqiang Zhang, Jing-Hao Xue, Zheng-Hua Tan, Jun Guo:
Soft Dropout And Its Variational Bayes Approximation. MLSP 2019: 1-6 - Haoyu Ma, Qingmin Liao, Juncheng Zhang, Shaojun Liu, Jing-Hao Xie:
An α-Matte Boundary Defocus Model Based Cascaded Network for Multi-focus Image Fusion. CoRR abs/1910.13136 (2019) - 2018
- Jiyang Xie, Zhanyu Ma, Guoqiang Zhang, Jing-Hao Xue, Jen-Tzung Chien, Zhiqing Lin, Jun Guo:
Balson: Bayesian least squares Optimization with Nonnegative L1-norm Constraint. MLSP 2018: 1-6 - Jiyang Xie, Zhanyu Ma, Guoqiang Zhang, Jing-Hao Xue, Jen-Tzung Chien, Zhiqing Lin, Jun Guo:
BALSON: Bayesian Least Squares Optimization with Nonnegative L1-Norm Constraint. CoRR abs/1807.02795 (2018) - Jiyang Xie, Jiaxin Guo, Zhanyu Ma, Jing-Hao Xue, Qie Sun, Hailong Li, Jun Guo:
SEA: A Combined Model for Heat Demand Prediction. CoRR abs/1808.00331 (2018)
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