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2020 – today
- 2024
[c19]Peijie Huang, Boxi Huang, Yuhong Xu, Weiting Chen, Jia Li:
Knowledge-Enhanced Utterance Domain Classification with Keywords-Assisted Concept Denoising Network. NLPCC (4) 2024: 211-223- 2023
- [j13]Yiqing Zhang, Weiting Chen:
Decision-level information fusion powered human pose estimation. Appl. Intell. 53(2): 2161-2172 (2023) - [j12]Ying Xiao, Weiting Chen, Jiangtao Wang:
Self-supervised monocular depth estimation based on pseudo-pose guidance and grid regularization. Appl. Intell. 53(9): 10149-10161 (2023) - [c18]Wanqing Zheng
, Weiting Chen:
Automated Testing Method for Font on GUI Based on Scene Text Detection and Font Recognition. AAIA 2023: 208-216 - [c17]Huiyuan Chen, Weiting Chen, Yiqing Zhang, Na Li:
Multi-granularity Information Flow Enhanced Skeleton-based Infant Seizure Detection. BIBM 2023: 100-103 - [c16]Yue Wang, Yao Yao, Shangcheng Shi, Weiting Chen, Lin Huang:
Towards a Better Super-App Architecture from a Browser Security Perspective. SaTS@CCS 2023: 23-28 - [c15]Akash Shankaran, George Gu, Weiting Chen, Binwei Yang, Chidamber Kulkarni, Mark Rambacher, Nesime Tatbul, David E. Cohen:
The Gluten Open-Source Software Project: Modernizing Java-based Query Engines for the Lakehouse Era. VLDB Workshops 2023 - 2022
- [c14]Guokai Zhou, Weiting Chen:
Protein Functional Family Classification Based on Multilevel Feature Information. BIBM 2022: 1836-1839 - 2021
- [j11]Boyuan Tang, Weiting Chen:
A Description Scheme for Video Overview Based on Scene Detection and Face Clustering. J. Circuits Syst. Comput. 30(1): 2150002:1-2150002:24 (2021) - [j10]Chengbin Huang, Weiting Chen, Mingsong Chen, Binhang Yuan:
A Feature Fusion Framework and Its Application to Automatic Seizure Detection. IEEE Signal Process. Lett. 28: 753-757 (2021) - [c13]Huazhen Li, Weiting Chen, Jiangtao Wang:
Winograd-CNN Accelerator Compatible with Sparse and Non-sparse Models. HPCC/DSS/SmartCity/DependSys 2021: 625-632 - [c12]Chunguang Jiang, Yueling Zhang, Jiangtao Wang, Weiting Chen:
Approximated Masked Global Context Network for Skin Lesion Segmentation. ICANN (3) 2021: 610-622 - 2020
- [j9]Cheng Dai, Xingang Liu, Weiting Chen, Chin-Feng Lai:
A Low-Latency Object Detection Algorithm for the Edge Devices of IoV Systems. IEEE Trans. Veh. Technol. 69(10): 11169-11178 (2020) - [c11]Bangfeng Xia, Yueling Zhang, Weiting Chen, Xiangfeng Wang, Jiangtao Wang:
EdgeAugment: Data Augmentation by Fusing and Filling Edge Maps. ICANN (1) 2020: 504-516
2010 – 2019
- 2019
- [j8]Renjie Zhao, Weiting Chen, Guitao Cao:
Edge-Boosted U-Net for 2D Medical Image Segmentation. IEEE Access 7: 171214-171222 (2019) - [c10]Chengbin Huang, Weiting Chen, Guitao Cao:
Automatic Epileptic Seizure Detection via Attention-Based CNN-BiRNN. BIBM 2019: 660-663 - [c9]Chengbin Huang, Renjie Zhao, Weiting Chen, Huazheng Li:
Arrhythmia Classification with Attention-Based Res-BiLSTM-Net. MLMECH/CVII-STENT@MICCAI 2019: 3-10 - 2018
- [j7]Zelong Yi, Yumei Wen, Yanmin Lin, Weiting Chen, Guanyu Lv:
多层缺陷关联效应对软件可靠性增长过程的影响 (Impacts of Correlation Effects among Multi-layer Faults on Software Reliability Growth Processes). 计算机科学 45(2): 241-248 (2018) - 2016
- [j6]Tao Yang, Weiting Chen, Guitao Cao:
Automated classification of neonatal amplitude-integrated EEG based on gradient boosting method. Biomed. Signal Process. Control. 28: 50-57 (2016) - [c8]Lizhe Liu, Weiting Chen, Guitao Cao:
Prediction of neonatal amplitude-integrated EEG based on LSTM method. BIBM 2016: 497-500 - [c7]Kun Wang, Guitao Cao, Dan Meng, Weiting Chen, Wenming Cao:
Automatic fall detection of human in video using combination of features. BIBM 2016: 1228-1233 - [c6]Dan Meng, Guitao Cao, Xinyu Song, Weiting Chen, Wenming Cao:
Automated human physical function measurement using constrained high dispersal network with SVM-linear. BIBM 2016: 1520-1526 - [c5]Decheng Yang, Weiting Chen, Jiangtao Wang, Yan Xu:
Patch Based Face Recognition via Fast Collaborative Representation Based Classification and Expression Insensitive Two-Stage Voting. ICCSA (2) 2016: 562-570 - 2015
- [j5]Guitao Cao, Ling Li, Weiting Chen, Yehua Yu, Jun Shi, Guixu Zhang, Xuehua Liu:
Effective identification and localization of immature precursors in bone marrow biopsy. Medical Biol. Eng. Comput. 53(3): 215-226 (2015) - 2013
- [c4]Yu Wang, Weiting Chen, Kai Huang, Qiufang Gu:
Classification of neonatal amplitude-integrated EEG using random forest model with combined feature. BIBM 2013: 285-290 - 2012
- [c3]Su Yang, Weiting Chen, Yang Liu, Lei Li, Zhizhong Wang:
Detection of Neonatal Amplitude-Integrated EEG Based on Revised D-S Theory. CIT 2012: 575-578 - [c2]Yang Liu, Weiting Chen, Su Yang, Kai Huang:
Domain adaptation to automatic classification of neonatal amplitude-integrated EEG. ISDA 2012: 131-136 - 2010
- [j4]Wangxin Yu, Zhizhong Wang, Weiting Chen:
Selecting discriminant eigenfaces by using binary feature selection. Neural Comput. Appl. 19(6): 911-918 (2010) - [j3]Lei Li, Weiting Chen, Xiaomei Shao, Zhizhong Wang:
Analysis of Amplitude-Integrated EEG in the Newborn Based on Approximate Entropy. IEEE Trans. Biomed. Eng. 57(10): 2459-2466 (2010)
2000 – 2009
- 2009
- [j2]Wangxin Yu, Zhizhong Wang, Weiting Chen:
A new framework to combine vertical and horizontal information for face recognition. Neurocomputing 72(4-6): 1084-1091 (2009) - [c1]Weiting Chen, Wangxin Yu, Guitao Cao:
A New Method Assessing Signal Regularity. FSKD (5) 2009: 563-566 - 2006
- [j1]Gang Wang, Zhizhong Wang, Weiting Chen, Jun Zhuang:
Classification of surface EMG signals using optimal wavelet packet method based on Davies-Bouldin criterion. Medical Biol. Eng. Comput. 44(10): 865-872 (2006)
Coauthor Index
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