Xiaodan Song
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
31
Venues
16
Active years
2002–2026
Best venue rank
A*
Where they publish
Papers
31 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | DCC | Dynamic Spatio-Temporal Compression Ratio Learning and Frequency-Aware Semantic Compression for Video Imaging. | Haixiong Li, Dahua Gao, Xiaodan Song, Guangming Shi |
| 2026 | DCC | Cross-Component Attention Network for In-Loop Filtering in Versatile Video Coding. | Xiaodan Song, Fan Cai, Haixiong Li, Xuyang Li, Yuansheng Wu, Xuguang Zuo, Yi Niu, Fu Li |
| 2025 | DCC | Affine Transformation-Based Generative Face Video Compression. | Xihua Lin, Xiaodan Song, Xuguang Zuo, Xuyang Li, Dahua Gao, Xuemei Xie, Guangming Shi |
| 2025 | ICASSP | A Transmitter-Model Unaware Generative Image Compression Framework for Semantic Communication. | Rongcan Zheng, Xiaodan Song, Xuguang Zuo, Minxi Yang, Dahua Gao, Xuemei Xie |
| 2024 | ICASSP | Mosic: Multimodal Semantic Integrated Communication for Health Monitoring in Iot Scenarios. | Minxi Yang, Dahua Gao, Jiaxuan Li, Wenlong Xu, Xiaodan Song, Guangming Shi |
| 2024 | ICASSP | SG2SC: A Generative Semantic Communication Framework for Scene Understanding-Oriented Image Transmission. | Minxi Yang, Dahua Gao, Feng Xie, Jiaxuan Li, Xiaodan Song, Guangming Shi |
| 2022 | ACL | Token Dropping for Efficient BERT Pretraining. | Le Hou, Richard Yuanzhe Pang, Tianyi Zhou, Yuexin Wu, Xinying Song, Xiaodan Song, Denny Zhou |
| 2022 | ECCV | A Simple Single-Scale Vision Transformer for Object Detection and Instance Segmentation. | Wuyang Chen, Xianzhi Du, Fan Yang, Lucas Beyer, Xiaohua Zhai, Tsung-Yi Lin, Huizhong Chen, Jing Li, Xiaodan Song, Zhangyang Wang, Denny Zhou |
| 2022 | ICLR | Auto-scaling Vision Transformers without Training. | Wuyang Chen, Wei Huang, Xianzhi Du, Xiaodan Song, Zhangyang Wang, Denny Zhou |
| 2020 | ACL | MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices. | Zhiqing Sun, Hongkun Yu, Xiaodan Song, Renjie Liu, Yiming Yang, Denny Zhou |
| 2020 | CVPR | SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization. | Xianzhi Du, Tsung-Yi Lin, Pengchong Jin, Golnaz Ghiasi, Mingxing Tan, Yin Cui, Quoc V. Le, Xiaodan Song |
| 2020 | ECCV | Efficient Scale-Permuted Backbone with Learned Resource Distribution. | Xianzhi Du, Tsung-Yi Lin, Pengchong Jin, Yin Cui, Mingxing Tan, Quoc V. Le, Xiaodan Song |
| 2020 | ECCV | BigNAS: Scaling up Neural Architecture Search with Big Single-Stage Models. | Jiahui Yu, Pengchong Jin, Hanxiao Liu, Gabriel Bender, Pieter-Jan Kindermans, Mingxing Tan, Thomas S. Huang, Xiaodan Song, Ruoming Pang, Quoc Le |
| 2020 | ICLR | Large Batch Optimization for Deep Learning: Training BERT in 76 minutes. | Yang You, Jing Li, Sashank J. Reddi, Jonathan Hseu, Sanjiv Kumar, Srinadh Bhojanapalli, Xiaodan Song, James Demmel, Kurt Keutzer, Cho-Jui Hsieh |
| 2020 | ICML | Go Wide, Then Narrow: Efficient Training of Deep Thin Networks. | Denny Zhou, Mao Ye, Chen Chen, Tianjian Meng, Mingxing Tan, Xiaodan Song, Quoc V. Le, Qiang Liu, Dale Schuurmans |
| 2018 | ICIP | A Practical Convolutional Neural Network as Loop Filter for Intra Frame. | Xiaodan Song, Jiabao Yao, Lulu Zhou, Li Wang, Xiaoyang Wu, Di Xie, Shiliang Pu |
| 2015 | VCIP | Compressive sensing based image transmission with side information at the decoder. | Xiaodan Song, Xiulian Peng, Jizheng Xu, Guangming Shi, Feng Wu |
| 2014 | ICIP | Cloud-based distributed image coding. | Xiaodan Song, Xiulian Peng, Jizheng Xu, Feng Wu |
| 2008 | WWW | Learning multiple graphs for document recommendations. | Ding Zhou, Shenghuo Zhu, Kai Yu, Xiaodan Song, Belle L. Tseng, Hongyuan Zha, C. Lee Giles |
| 2007 | CIKM | Identifying opinion leaders in the blogosphere. | Xiaodan Song, Yun Chi, Koji Hino, Belle L. Tseng |
| 2007 | ICWSM | Summarization System by Identifying Influential Blogs. | Xiaodan Song, Yun Chi, Koji Hino, Belle L. Tseng |
| 2007 | KDD | Evolutionary spectral clustering by incorporating temporal smoothness. | Yun Chi, Xiaodan Song, Dengyong Zhou, Koji Hino, Belle L. Tseng |
| 2007 | KDD | Structural and temporal analysis of the blogosphere through community factorization. | Yun Chi, Shenghuo Zhu, Xiaodan Song, Jun'ichi Tatemura, Belle L. Tseng |
| 2007 | KDD | Why We Twitter: An Analysis of a Microblogging Community. | Akshay Java, Xiaodan Song, Tim Finin, Belle L. Tseng |
| 2007 | WWW | Information flow modeling based on diffusion rate for prediction and ranking. | Xiaodan Song, Yun Chi, Koji Hino, Belle L. Tseng |
| 2006 | SIGIR | Personalized recommendation driven by information flow. | Xiaodan Song, Belle L. Tseng, Ching-Yung Lin, Ming-Ting Sun |
| 2006 | SDM | Modeling Evolutionary Behaviors for Community-based Dynamic Recommendation. | Xiaodan Song, Ching-Yung Lin, Belle L. Tseng, Ming-Ting Sun |
| 2005 | ISCAS | Autonomous learning of visual concept models. | Xiaodan Song, Ching-Yung Lin, Ming-Ting Sun |
| 2005 | KDD | Modeling and predicting personal information dissemination behavior. | Xiaodan Song, Ching-Yung Lin, Belle L. Tseng, Ming-Ting Sun |
| 2004 | CVPR | Cross-Modality Automatic Face Model Training from Large Video Databases. | Xiaodan Song, Ching-Yung Lin, Ming-Ting Sun |
| 2002 | ICIP | Unsupervised Mumford-Shah energy based hybrid of texture and nontexture image segmentation. | Fei Liu, Xiaodan Song, Yupin Luo, Dongcheng Hu |