Xiaodan Song - RankMe

60 papers A* 11A 5B 3C 1Misc 3Journal 25Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CMANet: Context-Aware Mutual Attention Network for Referring Image Segmentation. IEEE Trans. Multim. Xiong Pan, Xuemei Xie, Jianxiu Yang, Xiaodan Song, Guangming Shi
2025	J	`jnl`	A LLM-guided hybrid Mamba-Transformer architecture for part-to-whole motion synthesis. Comput. Vis. Image Underst. Fuming Wang, Wenlong Wang, Dahua Gao, Xunliang Huang, Xiaodan Song, Haoyuan Sun, Cheng Peng
2025	J	`jnl`	A Scalable Coding Method With Semantic Decomposition for Semantic Communication. IEEE Wirel. Commun. Lett. Haixiong Li, Dahua Gao, Minxi Yang, Yuping Liang, Xiaodan Song, Guangming Shi
2025	Misc	`conf`	A Transmitter-Model Unaware Generative Image Compression Framework for Semantic Communication. ICASSP Rongcan Zheng, Xiaodan Song, Xuguang Zuo, Minxi Yang, Dahua Gao, Xuemei Xie
2025	B	`conf`	Affine Transformation-Based Generative Face Video Compression. DCC Xihua Lin, Xiaodan Song, Xuguang Zuo, Xuyang Li, Dahua Gao, Xuemei Xie, Guangming Shi
2025	J	`jnl`	Intellicise Wireless Networks From Semantic Communications: A Survey, Research Issues, and Challenges. IEEE Commun. Surv. Tutorials Ping Zhang, Wenjun Xu, Yiming Liu, Xiaoqi Qin, Kai Niu, Shuguang Cui, Guangming Shi, Zhijin Qin, Xiaodong Xu, Fengyu Wang, Yue Meng, Chen Dong, Jincheng Dai, Qianqian Yang, Yaping Sun, Dahua Gao, Hui Gao, Shujun Han, Xiaodan Song
2025	J	`jnl`	Prompt-Based Invertible Mapping Alignment for Unsupervised Domain Adaptation. ACM Trans. Multim. Comput. Commun. Appl. Chao Wen, Chen Wei, Yuhua Qian, Xiaodan Song, Xuemei Xie
2025	J	`jnl`	T5Gemma 2: Seeing, Reading, and Understanding Longer. CoRR Biao Zhang, Paul Suganthan, Gaël Liu, Ilya Philippov, Sahil Dua, Ben Hora, Kat Black, Gus Martins, Omar Sanseviero, Shreya Pathak, Cassidy Hardin, Francesco Visin, Jiageng Zhang, Kathleen Kenealy, Qin Yin, Xiaodan Song, Olivier Lacombe, Armand Joulin, Tris Warkentin, Adam Roberts
2024	J	`jnl`	GRA-Net: Group response attention for deep learning. Neurocomputing Zhenyuan Wang, Xuemei Xie, Xiaodan Song, Jianxiu Yang
2024	Misc	`conf`	Mosic: Multimodal Semantic Integrated Communication for Health Monitoring in Iot Scenarios. ICASSP Minxi Yang, Dahua Gao, Jiaxuan Li, Wenlong Xu, Xiaodan Song, Guangming Shi
2024	Misc	`conf`	SG2SC: A Generative Semantic Communication Framework for Scene Understanding-Oriented Image Transmission. ICASSP Minxi Yang, Dahua Gao, Feng Xie, Jiaxuan Li, Xiaodan Song, Guangming Shi
2022	—	`conf`	A Simple Single-Scale Vision Transformer for Object Detection and Instance Segmentation. ECCV (10) Wuyang Chen, Xianzhi Du, Fan Yang, Lucas Beyer, Xiaohua Zhai, Tsung-Yi Lin, Huizhong Chen, Jing Li, Xiaodan Song, Zhangyang Wang, Denny Zhou
2022	A*	`conf`	Auto-scaling Vision Transformers without Training. ICLR Wuyang Chen, Wei Huang, Xianzhi Du, Xiaodan Song, Zhangyang Wang, Denny Zhou
2022	J	`jnl`	Auto-scaling Vision Transformers without Training. CoRR Wuyang Chen, Wei Huang, Xianzhi Du, Xiaodan Song, Zhangyang Wang, Denny Zhou
2022	—	`conf`	Token Dropping for Efficient BERT Pretraining. ACL (1) Le Hou, Richard Yuanzhe Pang, Tianyi Zhou, Yuexin Wu, Xinying Song, Xiaodan Song, Denny Zhou
2022	J	`jnl`	Token Dropping for Efficient BERT Pretraining. CoRR Le Hou, Richard Yuanzhe Pang, Tianyi Zhou, Yuexin Wu, Xinying Song, Xiaodan Song, Denny Zhou
2021	J	`jnl`	A Simple Single-Scale Vision Transformer for Object Localization and Instance Segmentation. CoRR Wuyang Chen, Xianzhi Du, Fan Yang, Lucas Beyer, Xiaohua Zhai, Tsung-Yi Lin, Huizhong Chen, Jing Li, Xiaodan Song, Zhangyang Wang, Denny Zhou
2021	J	`jnl`	A new communication paradigm: from bit accuracy to semantic fidelity. CoRR Guangming Shi, Dahua Gao, Xiaodan Song, Jingxuan Chai, Minxi Yang, Xuemei Xie, Leida Li, Xuyang Li
2021	J	`jnl`	Speeding up Deep Model Training by Sharing Weights and Then Unsharing. CoRR Shuo Yang, Le Hou, Xiaodan Song, Qiang Liu, Denny Zhou
2020	J	`jnl`	BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage Models. CoRR Jiahui Yu, Pengchong Jin, Hanxiao Liu, Gabriel Bender, Pieter-Jan Kindermans, Mingxing Tan, Thomas S. Huang, Xiaodan Song, Ruoming Pang, Quoc V. Le
2020	—	`conf`	BigNAS: Scaling up Neural Architecture Search with Big Single-Stage Models. ECCV (7) Jiahui Yu, Pengchong Jin, Hanxiao Liu, Gabriel Bender, Pieter-Jan Kindermans, Mingxing Tan, Thomas S. Huang, Xiaodan Song, Ruoming Pang, Quoc Le
2020	—	`conf`	Efficient Scale-Permuted Backbone with Learned Resource Distribution. ECCV (23) Xianzhi Du, Tsung-Yi Lin, Pengchong Jin, Yin Cui, Mingxing Tan, Quoc V. Le, Xiaodan Song
2020	J	`jnl`	Efficient Scale-Permuted Backbone with Learned Resource Distribution. CoRR Xianzhi Du, Tsung-Yi Lin, Pengchong Jin, Yin Cui, Mingxing Tan, Quoc V. Le, Xiaodan Song
2020	A*	`conf`	Go Wide, Then Narrow: Efficient Training of Deep Thin Networks. ICML Denny Zhou, Mao Ye, Chen Chen, Tianjian Meng, Mingxing Tan, Xiaodan Song, Quoc V. Le, Qiang Liu, Dale Schuurmans
2020	J	`jnl`	Go Wide, Then Narrow: Efficient Training of Deep Thin Networks. CoRR Denny Zhou, Mao Ye, Chen Chen, Tianjian Meng, Mingxing Tan, Xiaodan Song, Quoc V. Le, Qiang Liu, Dale Schuurmans
2020	A*	`conf`	Large Batch Optimization for Deep Learning: Training BERT in 76 minutes. ICLR Yang You, Jing Li, Sashank J. Reddi, Jonathan Hseu, Sanjiv Kumar, Srinadh Bhojanapalli, Xiaodan Song, James Demmel, Kurt Keutzer, Cho-Jui Hsieh
2020	A*	`conf`	MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices. ACL Zhiqing Sun, Hongkun Yu, Xiaodan Song, Renjie Liu, Yiming Yang, Denny Zhou
2020	J	`jnl`	MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices. CoRR Zhiqing Sun, Hongkun Yu, Xiaodan Song, Renjie Liu, Yiming Yang, Denny Zhou
2020	A*	`conf`	SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization. CVPR Xianzhi Du, Tsung-Yi Lin, Pengchong Jin, Golnaz Ghiasi, Mingxing Tan, Yin Cui, Quoc V. Le, Xiaodan Song
2019	J	`jnl`	High Resolution Medical Image Analysis with Spatial Partitioning. CoRR Le Hou, Youlong Cheng, Noam Shazeer, Niki Parmar, Yeqing Li, Panagiotis Korfiatis, Travis M. Drucker, Daniel J. Blezek, Xiaodan Song
2019	J	`jnl`	Reducing BERT Pre-Training Time from 3 Days to 76 Minutes. CoRR Yang You, Jing Li, Jonathan Hseu, Xiaodan Song, James Demmel, Cho-Jui Hsieh
2019	J	`jnl`	SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization. CoRR Xianzhi Du, Tsung-Yi Lin, Pengchong Jin, Golnaz Ghiasi, Mingxing Tan, Yin Cui, Quoc V. Le, Xiaodan Song
2018	B	`conf`	A Practical Convolutional Neural Network as Loop Filter for Intra Frame. ICIP Xiaodan Song, Jiabao Yao, Lulu Zhou, Li Wang, Xiaoyang Wu, Di Xie, Shiliang Pu
2018	J	`jnl`	A practical convolutional neural network as loop filter for intra frame. CoRR Xiaodan Song, Jiabao Yao, Lulu Zhou, Li Wang, Xiaoyang Wu, Di Xie, Shiliang Pu
2018	J	`jnl`	Unequal Error Protection for Scalable Video Storage in the Cloud. IEEE Trans. Multim. Xiaodan Song, Xiulian Peng, Jizheng Xu, Guangming Shi, Feng Wu
2017	J	`jnl`	Distributed Compressive Sensing for Cloud-Based Wireless Image Transmission. IEEE Trans. Multim. Xiaodan Song, Xiulian Peng, Jizheng Xu, Guangming Shi, Feng Wu
2015	J	`jnl`	Cloud-Based Distributed Image Coding. IEEE Trans. Circuits Syst. Video Technol. Xiaodan Song, Xiulian Peng, Jizheng Xu, Guangming Shi, Feng Wu
2015	C	`conf`	Compressive sensing based image transmission with side information at the decoder. VCIP Xiaodan Song, Xiulian Peng, Jizheng Xu, Guangming Shi, Feng Wu
2015	A	`conf`	Unequal error protection for scalable video storage in the cloud. ICME Xiaodan Song, Xiulian Peng, Jizheng Xu, Guangming Shi, Feng Wu
2014	B	`conf`	Cloud-based distributed image coding. ICIP Xiaodan Song, Xiulian Peng, Jizheng Xu, Feng Wu
2009	J	`jnl`	On evolutionary spectral clustering. ACM Trans. Knowl. Discov. Data Yun Chi, Xiaodan Song, Dengyong Zhou, Koji Hino, Belle L. Tseng
2008	A*	`conf`	Learning multiple graphs for document recommendations. WWW Ding Zhou, Shenghuo Zhu, Kai Yu, Xiaodan Song, Belle L. Tseng, Hongyuan Zha, C. Lee Giles
2007	A*	`conf`	Evolutionary spectral clustering by incorporating temporal smoothness. KDD Yun Chi, Xiaodan Song, Dengyong Zhou, Koji Hino, Belle L. Tseng
2007	A	`conf`	Identifying opinion leaders in the blogosphere. CIKM Xiaodan Song, Yun Chi, Koji Hino, Belle L. Tseng
2007	A*	`conf`	Information flow modeling based on diffusion rate for prediction and ranking. WWW Xiaodan Song, Yun Chi, Koji Hino, Belle L. Tseng
2007	A*	`conf`	Structural and temporal analysis of the blogosphere through community factorization. KDD Yun Chi, Shenghuo Zhu, Xiaodan Song, Jun'ichi Tatemura, Belle L. Tseng
2007	A	`conf`	Summarization System by Identifying Influential Blogs. ICWSM Xiaodan Song, Yun Chi, Koji Hino, Belle L. Tseng
2007	—	`conf`	Why We Twitter: An Analysis of a Microblogging Community. WebKDD/SNAKDD Akshay Java, Xiaodan Song, Tim Finin, Belle L. Tseng
2006	A	`conf`	Modeling Evolutionary Behaviors for Community-based Dynamic Recommendation. SDM Xiaodan Song, Ching-Yung Lin, Belle L. Tseng, Ming-Ting Sun
2006	A*	`conf`	Personalized recommendation driven by information flow. SIGIR Xiaodan Song, Belle L. Tseng, Ching-Yung Lin, Ming-Ting Sun
2006	—	`conf`	The Splog Detection Task and A Solution Based on Temporal and Link Properties. TREC Yu-Ru Lin, Wen-Yen Chen, Xiaolin Shi, Richard Sia, Xiaodan Song, Yun Chi, Koji Hino, Hari Sundaram, Jun'ichi Tatemura, Belle L. Tseng
2005	—	`conf`	Autonomous learning of visual concept models. ISCAS (5) Xiaodan Song, Ching-Yung Lin, Ming-Ting Sun
2005	—	`conf`	ExpertiseNet: Relational and Evolutionary Expert Modeling. User Modeling Xiaodan Song, Belle L. Tseng, Ching-Yung Lin, Ming-Ting Sun
2005	—	`conf`	Imperfect learning for autonomous concept modeling. Storage and Retrieval Methods and Applications for Multimedia Ching-Yung Lin, Xiaodan Song, Gang Wu
2005	A*	`conf`	Modeling and predicting personal information dissemination behavior. KDD Xiaodan Song, Ching-Yung Lin, Belle L. Tseng, Ming-Ting Sun
2005	A	`conf`	Speech-Based Visual Concept Learning Using Wordnet. ICME Xiaodan Song, Ching-Yung Lin, Ming-Ting Sun
2004	—	`conf`	Autonomous visual model building based on image crawling through internet search engines. Multimedia Information Retrieval Xiaodan Song, Ching-Yung Lin, Ming-Ting Sun
2004	—	`conf`	Cross-Modality Automatic Face Model Training from Large Video Databases. CVPR Workshops Xiaodan Song, Ching-Yung Lin, Ming-Ting Sun
2003	J	`jnl`	Active surface model-based adaptive thresholding algorithm by repulsive external force. J. Electronic Imaging Fei Liu, Yupin Luo, Xiaodan Song, Dongcheng Hu
2002	—	`conf`	Unsupervised Mumford-Shah energy based hybrid of texture and nontexture image segmentation. ICIP (2) Fei Liu, Xiaodan Song, Yupin Luo, Dongcheng Hu