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Xiaodan Song
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2020 – today
- 2024
- [j6]Zhenyuan Wang, Xuemei Xie
, Xiaodan Song, Jianxiu Yang:
GRA-Net: Group response attention for deep learning. Neurocomputing 605: 128272 (2024) - [c33]Minxi Yang, Dahua Gao, Jiaxuan Li, Wenlong Xu, Xiaodan Song, Guangming Shi:
Mosic: Multimodal Semantic Integrated Communication for Health Monitoring in Iot Scenarios. ICASSP 2024: 2210-2214 - [c32]Minxi Yang, Dahua Gao, Feng Xie, Jiaxuan Li, Xiaodan Song, Guangming Shi:
SG2SC: A Generative Semantic Communication Framework for Scene Understanding-Oriented Image Transmission. ICASSP 2024: 13486-13490 - 2022
- [c31]Le Hou, Richard Yuanzhe Pang, Tianyi Zhou, Yuexin Wu, Xinying Song, Xiaodan Song, Denny Zhou:
Token Dropping for Efficient BERT Pretraining. ACL (1) 2022: 3774-3784 - [c30]Wuyang Chen, Xianzhi Du, Fan Yang, Lucas Beyer, Xiaohua Zhai, Tsung-Yi Lin, Huizhong Chen, Jing Li, Xiaodan Song, Zhangyang Wang, Denny Zhou:
A Simple Single-Scale Vision Transformer for Object Detection and Instance Segmentation. ECCV (10) 2022: 711-727 - [c29]Wuyang Chen, Wei Huang, Xianzhi Du, Xiaodan Song, Zhangyang Wang, Denny Zhou:
Auto-scaling Vision Transformers without Training. ICLR 2022 - [i13]Wuyang Chen, Wei Huang, Xianzhi Du, Xiaodan Song, Zhangyang Wang, Denny Zhou:
Auto-scaling Vision Transformers without Training. CoRR abs/2202.11921 (2022) - [i12]Le Hou, Richard Yuanzhe Pang, Tianyi Zhou, Yuexin Wu, Xinying Song, Xiaodan Song, Denny Zhou:
Token Dropping for Efficient BERT Pretraining. CoRR abs/2203.13240 (2022) - 2021
- [i11]Guangming Shi, Dahua Gao, Xiaodan Song, Jingxuan Chai, Minxi Yang, Xuemei Xie, Leida Li, Xuyang Li:
A new communication paradigm: from bit accuracy to semantic fidelity. CoRR abs/2101.12649 (2021) - [i10]Shuo Yang, Le Hou, Xiaodan Song, Qiang Liu, Denny Zhou:
Speeding up Deep Model Training by Sharing Weights and Then Unsharing. CoRR abs/2110.03848 (2021) - [i9]Wuyang Chen, Xianzhi Du, Fan Yang, Lucas Beyer, Xiaohua Zhai, Tsung-Yi Lin, Huizhong Chen, Jing Li, Xiaodan Song, Zhangyang Wang, Denny Zhou:
A Simple Single-Scale Vision Transformer for Object Localization and Instance Segmentation. CoRR abs/2112.09747 (2021) - 2020
- [c28]Zhiqing Sun, Hongkun Yu, Xiaodan Song, Renjie Liu, Yiming Yang, Denny Zhou:
MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices. ACL 2020: 2158-2170 - [c27]Xianzhi Du, Tsung-Yi Lin, Pengchong Jin, Golnaz Ghiasi, Mingxing Tan, Yin Cui, Quoc V. Le, Xiaodan Song:
SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization. CVPR 2020: 11589-11598 - [c26]Xianzhi Du, Tsung-Yi Lin, Pengchong Jin, Yin Cui, Mingxing Tan, Quoc V. Le, Xiaodan Song:
Efficient Scale-Permuted Backbone with Learned Resource Distribution. ECCV (23) 2020: 572-586 - [c25]Jiahui Yu, Pengchong Jin, Hanxiao Liu, Gabriel Bender, Pieter-Jan Kindermans, Mingxing Tan, Thomas S. Huang, Xiaodan Song, Ruoming Pang, Quoc Le:
BigNAS: Scaling up Neural Architecture Search with Big Single-Stage Models. ECCV (7) 2020: 702-717 - [c24]Yang You, Jing Li, Sashank J. Reddi, Jonathan Hseu, Sanjiv Kumar, Srinadh Bhojanapalli, Xiaodan Song, James Demmel, Kurt Keutzer, Cho-Jui Hsieh:
Large Batch Optimization for Deep Learning: Training BERT in 76 minutes. ICLR 2020 - [c23]Denny Zhou, Mao Ye, Chen Chen, Tianjian Meng, Mingxing Tan, Xiaodan Song, Quoc V. Le, Qiang Liu, Dale Schuurmans:
Go Wide, Then Narrow: Efficient Training of Deep Thin Networks. ICML 2020: 11546-11555 - [i8]Jiahui Yu, Pengchong Jin, Hanxiao Liu, Gabriel Bender, Pieter-Jan Kindermans, Mingxing Tan, Thomas S. Huang, Xiaodan Song, Ruoming Pang, Quoc V. Le:
BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage Models. CoRR abs/2003.11142 (2020) - [i7]Zhiqing Sun, Hongkun Yu, Xiaodan Song, Renjie Liu, Yiming Yang, Denny Zhou:
MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices. CoRR abs/2004.02984 (2020) - [i6]Denny Zhou, Mao Ye, Chen Chen, Tianjian Meng, Mingxing Tan, Xiaodan Song, Quoc V. Le, Qiang Liu, Dale Schuurmans:
Go Wide, Then Narrow: Efficient Training of Deep Thin Networks. CoRR abs/2007.00811 (2020) - [i5]Xianzhi Du, Tsung-Yi Lin, Pengchong Jin, Yin Cui, Mingxing Tan, Quoc V. Le, Xiaodan Song:
Efficient Scale-Permuted Backbone with Learned Resource Distribution. CoRR abs/2010.11426 (2020)
2010 – 2019
- 2019
- [i4]Yang You, Jing Li, Jonathan Hseu, Xiaodan Song, James Demmel, Cho-Jui Hsieh:
Reducing BERT Pre-Training Time from 3 Days to 76 Minutes. CoRR abs/1904.00962 (2019) - [i3]Le Hou, Youlong Cheng, Noam Shazeer, Niki Parmar, Yeqing Li, Panagiotis Korfiatis, Travis M. Drucker, Daniel J. Blezek, Xiaodan Song:
High Resolution Medical Image Analysis with Spatial Partitioning. CoRR abs/1909.03108 (2019) - [i2]Xianzhi Du, Tsung-Yi Lin, Pengchong Jin, Golnaz Ghiasi, Mingxing Tan, Yin Cui, Quoc V. Le, Xiaodan Song:
SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization. CoRR abs/1912.05027 (2019) - 2018
- [j5]Xiaodan Song
Unequal Error Protection for Scalable Video Storage in the Cloud. IEEE Trans. Multim. 20(3): 699-710 (2018) - [c22]Xiaodan Song
A Practical Convolutional Neural Network as Loop Filter for Intra Frame. ICIP 2018: 1133-1137 - [i1]Xiaodan Song, Jiabao Yao, Lulu Zhou, Li Wang, Xiaoyang Wu, Di Xie, Shiliang Pu:
A practical convolutional neural network as loop filter for intra frame. CoRR abs/1805.06121 (2018) - 2017
- [j4]Xiaodan Song
Distributed Compressive Sensing for Cloud-Based Wireless Image Transmission. IEEE Trans. Multim. 19(6): 1351-1364 (2017) - 2015
- [j3]Xiaodan Song
Cloud-Based Distributed Image Coding. IEEE Trans. Circuits Syst. Video Technol. 25(12): 1926-1940 (2015) - [c21]Xiaodan Song
Unequal error protection for scalable video storage in the cloud. ICME 2015: 1-6 - [c20]Xiaodan Song
Compressive sensing based image transmission with side information at the decoder. VCIP 2015: 1-4 - 2014
- [c19]Xiaodan Song
Cloud-based distributed image coding. ICIP 2014: 4802-4806
2000 – 2009
- 2009
- [j2]Yun Chi, Xiaodan Song, Dengyong Zhou, Koji Hino, Belle L. Tseng:
On evolutionary spectral clustering. ACM Trans. Knowl. Discov. Data 3(4): 17:1-17:30 (2009) - 2008
- [c18]Ding Zhou, Shenghuo Zhu, Kai Yu, Xiaodan Song, Belle L. Tseng, Hongyuan Zha, C. Lee Giles
Learning multiple graphs for document recommendations. WWW 2008: 141-150 - 2007
- [c17]Xiaodan Song, Yun Chi, Koji Hino, Belle L. Tseng:
Identifying opinion leaders in the blogosphere. CIKM 2007: 971-974 - [c16]Xiaodan Song, Yun Chi, Koji Hino, Belle L. Tseng:
Summarization System by Identifying Influential Blogs. ICWSM 2007 - [c15]Akshay Java, Xiaodan Song, Tim Finin, Belle L. Tseng:
Why We Twitter: An Analysis of a Microblogging Community. WebKDD/SNA-KDD 2007: 118-138 - [c14]Yun Chi, Xiaodan Song, Dengyong Zhou, Koji Hino, Belle L. Tseng:
Evolutionary spectral clustering by incorporating temporal smoothness. KDD 2007: 153-162 - [c13]Yun Chi, Shenghuo Zhu, Xiaodan Song, Jun'ichi Tatemura, Belle L. Tseng:
Structural and temporal analysis of the blogosphere through community factorization. KDD 2007: 163-172 - [c12]Xiaodan Song, Yun Chi, Koji Hino, Belle L. Tseng:
Information flow modeling based on diffusion rate for prediction and ranking. WWW 2007: 191-200 - 2006
- [c11]Xiaodan Song, Ching-Yung Lin, Belle L. Tseng, Ming-Ting Sun:
Modeling Evolutionary Behaviors for Community-based Dynamic Recommendation. SDM 2006: 559-563 - [c10]Xiaodan Song, Belle L. Tseng, Ching-Yung Lin, Ming-Ting Sun:
Personalized recommendation driven by information flow. SIGIR 2006: 509-516 - [c9]Yu-Ru Lin, Wen-Yen Chen, Xiaolin Shi, Richard Sia, Xiaodan Song, Yun Chi, Koji Hino, Hari Sundaram, Jun'ichi Tatemura, Belle L. Tseng:
The Splog Detection Task and A Solution Based on Temporal and Link Properties. TREC 2006 - 2005
- [c8]Xiaodan Song, Ching-Yung Lin, Ming-Ting Sun:
Speech-Based Visual Concept Learning Using Wordnet. ICME 2005: 1138-1141 - [c7]Xiaodan Song, Ching-Yung Lin, Ming-Ting Sun:
Autonomous learning of visual concept models. ISCAS (5) 2005: 4598-4601 - [c6]Xiaodan Song, Ching-Yung Lin, Belle L. Tseng, Ming-Ting Sun:
Modeling and predicting personal information dissemination behavior. KDD 2005: 479-488 - [c5]Ching-Yung Lin, Xiaodan Song, Gang Wu:
Imperfect learning for autonomous concept modeling. Storage and Retrieval Methods and Applications for Multimedia 2005: 125-136 - [c4]Xiaodan Song, Belle L. Tseng, Ching-Yung Lin, Ming-Ting Sun:
ExpertiseNet: Relational and Evolutionary Expert Modeling. User Modeling 2005: 99-108 - 2004
- [c3]Xiaodan Song, Ching-Yung Lin, Ming-Ting Sun:
Cross-Modality Automatic Face Model Training from Large Video Databases. CVPR Workshops 2004: 91 - [c2]Xiaodan Song, Ching-Yung Lin, Ming-Ting Sun:
Autonomous visual model building based on image crawling through internet search engines. Multimedia Information Retrieval 2004: 315-322 - 2003
- [j1]Fei Liu, Yupin Luo, Xiaodan Song, Dongcheng Hu:
Active surface model-based adaptive thresholding algorithm by repulsive external force. J. Electronic Imaging 12(2): 299-306 (2003) - 2002
- [c1]Fei Liu, Xiaodan Song, Yupin Luo, Dongcheng Hu:
Unsupervised Mumford-Shah energy based hybrid of texture and nontexture image segmentation. ICIP (2) 2002: 753-756
Coauthor Index
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last updated on 2024-10-07 21:19 CEST by the dblp team
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