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ORCIDPeiyao Wang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[i8]Junfeng Hou, Peiyao Wang, Jincheng Zhang, Meng Yang, Minwei Feng, Jingcheng Yin:
CTC Blank Triggered Dynamic Layer-Skipping for Efficient CTC-based Speech Recognition. CoRR abs/2401.02046 (2024)- [i7]Peiyao Wang, Yuewei Lin, Erik Blasch, Jie Wei, Haibin Ling:
Efficient Temporal Action Segmentation via Boundary-aware Query Voting. CoRR abs/2405.15995 (2024) - 2023
- [c6]Junfeng Hou, Peiyao Wang, Jincheng Zhang, Meng Yang, Minwei Feng, Jingcheng Yin:
CTC Blank Triggered Dynamic Layer-Skipping for Efficient Ctc-Based Speech Recognition. ASRU 2023: 1-5 - [i6]Peiyao Wang, Haibin Ling:
DIR-AS: Decoupling Individual Identification and Temporal Reasoning for Action Segmentation. CoRR abs/2304.02110 (2023) - 2022
- [j6]Yu Wang, Daiyin Zhu
, Guodong Jin, Qinghao Yu, Peiyao Wang, Shilin Niu, Yuan Cheng, Di Wu:
A Robust Digital Beamforming on Receive in Elevation for Airborne MIMO SAR System. IEEE Trans. Geosci. Remote. Sens. 60: 1-19 (2022) - [c5]Lahari Poddar, Peiyao Wang, Julia Reinspach:
DialAug: Mixing up Dialogue Contexts in Contrastive Learning for Robust Conversational Modeling. COLING 2022: 441-450 - [c4]Shuaishuai Ye, Peiyao Wang, Shunfei Chen, Xinhui Hu, Xinkang Xu:
The Royalflush System of Speech Recognition for M2met Challenge. ICASSP 2022: 9181-9185 - [i5]Shuaishuai Ye, Peiyao Wang, Shunfei Chen, Xinhui Hu, Xinkang Xu:
The RoyalFlush System of Speech Recognition for M2MeT Challenge. CoRR abs/2202.01614 (2022) - [i4]Lahari Poddar, Peiyao Wang, Julia Reinspach:
DialAug: Mixing up Dialogue Contexts in Contrastive Learning for Robust Conversational Modeling. CoRR abs/2204.07679 (2022) - 2021
- [c3]Xuanyu Huang, Rui Zhang, Yu Huang, Peiyao Wang, Mei Li:
Enhancements of Model and Method in Lithography Hotspot Identification. DATE 2021: 102-107 - 2020
- [j5]Siquan Yu, Guiping Shen, Peiyao Wang, Yuning Wang, Chengdong Wu:
Image Clustering Based on Multi-Scale Deep Maximize Mutual Information and Self-Training Algorithm. IEEE Access 8: 160285-160296 (2020) - [j4]Yan Kang, Guorong Cui, Hao Li, Qiyue Yang, Jinyuan Li, Peiyao Wang:
融合自注意力机制和多路金字塔卷积的软件需求聚类算法 (Software Requirements Clustering Algorithm Based on Self-attention Mechanism and Multi- channel Pyramid Convolution). 计算机科学 47(3): 48-53 (2020) - [j3]Peiyao Wang, Mao Ye, Xianzhao Xia, Xiaoxiao Zheng, Yao Li, Yiqiang Zhao:
A Multi-Channel Low-Noise Analog Front End Circuit for Linear LADAR. IEEE Trans. Circuits Syst. II Express Briefs 67-II(7): 1209-1213 (2020) - [c2]Peiyao Wang, Weixin Luo, Yanyu Xu, Haojie Li, Shugong Xu, Jianyu Yang, Shenghua Gao:
SIRI: Spatial Relation Induced Network For Spatial Description Resolution. NeurIPS 2020 - [i3]Peiyao Wang, Weixin Luo, Yanyu Xu, Haojie Li, Shugong Xu, Jianyu Yang, Shenghua Gao:
SIRI: Spatial Relation Induced Network For Spatial Description Resolution. CoRR abs/2010.14301 (2020)
2010 – 2019
- 2019
- [j2]Weisheng Dong, Peiyao Wang, Wotao Yin, Guangming Shi, Fangfang Wu, Xiaotong Lu:
Denoising Prior Driven Deep Neural Network for Image Restoration. IEEE Trans. Pattern Anal. Mach. Intell. 41(10): 2305-2318 (2019) - [j1]Peiyao Wang, Yufeng Liu, Dinggang Shen:
Flexible Locally Weighted Penalized Regression With Applications on Prediction of Alzheimer's Disease Neuroimaging Initiative's Clinical Scores. IEEE Trans. Medical Imaging 38(6): 1398-1408 (2019) - [c1]Jiangtao Cao, Peiyao Wang, Shuqi Chen, Xiaofei Ji:
Two-Person Interaction Recognition Based on Video Sparse Representation and Improved Spatio-Temporal Feature. ICIRA (5) 2019: 473-488 - 2018
- [i2]Weisheng Dong, Peiyao Wang, Wotao Yin, Guangming Shi, Fangfang Wu, Xiaotong Lu:
Denoising Prior Driven Deep Neural Network for Image Restoration. CoRR abs/1801.06756 (2018) - [i1]Xiaotong Lu, Weisheng Dong, Peiyao Wang, Guangming Shi, Xuemei Xie:
ConvCSNet: A Convolutional Compressive Sensing Framework Based on Deep Learning. CoRR abs/1801.10342 (2018)
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