Shunyao Wu

According to our database, Shunyao Wu authored at least 24 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Host-Variable-Embedding Augmented Microbiome-Based Simultaneous Detection of Multiple Diseases by Deep Learning.

Shunyao Wu, Zhiruo Li, Yuzhu Chen, Mingqian Zhang, Yangyang Sun, Jieqi Xing, Fengyang Zhao, Shi Huang, Rob Knight, Xiaoquan Su

Adv. Intell. Syst., December, 2023

Power-law initialization algorithm for convolutional neural networks.

Kaiwen Jiang, Jian Liu, Tongtong Xing, Shujing Li, Shunyao Wu, Fengjing Shao, Rencheng Sun

Neural Comput. Appl., October, 2023

Flex Meta-Storms elucidates the microbiome local beta-diversity under specific phenotypes.

Mingqian Zhang, Wenke Zhang, Yuzhu Chen, Jin Zhao, Shunyao Wu, Xiaoquan Su

Bioinform., April, 2023

Communications and High-Precision Positioning (CHP2): Hardware Architecture, Implementation, and Validation.

Hanguang Yu, Andrew Herschfelt, Shunyao Wu, Sharanya Srinivas, Yang Li, Nunzio Sciammetta, Leslie Smith, Klaus Rueger, Hyunseok Lee, Chaitali Chakrabarti, Daniel W. Bliss

Sensors, February, 2023

Proactively Predicting Dynamic 6G Link Blockages Using LiDAR and In-Band Signatures.

Shunyao Wu, Chaitali Chakrabarti, Ahmed Alkhateeb

IEEE Open J. Commun. Soc., 2023

2022

Blockage Prediction Using Wireless Signatures: Deep Learning Enables Real-World Demonstration.

Shunyao Wu, Muhammad Alrabeiah, Chaitali Chakrabarti, Ahmed Alkhateeb

IEEE Open J. Commun. Soc., 2022

LiDAR-Aided Mobile Blockage Prediction in Real-World Millimeter Wave Systems.

Shunyao Wu, Chaitali Chakrabarti, Ahmed Alkhateeb

Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

Deep Learning for Moving Blockage Prediction using Real mmWave Measurements.

Shunyao Wu, Muhammad Alrabeiah, Andrew Hredzak, Chaitali Chakrabarti, Ahmed Alkhateeb

Proceedings of the IEEE International Conference on Communications, 2022

2021

Deep Learning for Moving Blockage Prediction using Real Millimeter Wave Measurements.

Shunyao Wu, Muhammad Alrabeiah, Andrew Hredzak, Chaitali Chakrabarti, Ahmed Alkhateeb

CoRR, 2021

2019

An Incremental Group-Specific Framework Based on Community Detection for Cold Start Recommendation.

Chuanyu Xue, Shunyao Wu, Qi Zhang, Fengjing Shao

IEEE Access, 2019

2018

Reducing Energy of Baseband Processor for IoT Terminals with Long Range Wireless Communications.

Shunyao Wu, Chaitali Chakrabarti, Hyunseok Lee

J. Signal Process. Syst., 2018

Joint Positioning-Communications System Design: Leveraging Phase-Accurate Time-of-Flight Estimation and Distributed Coherence.

Andrew Herschfelt, Hanguang Yu, Shunyao Wu, Hyunseok Lee, Daniel W. Bliss

Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2016

Modeling and Correlation Analysis between Complex Networks.

Xiyang Liao, Qi Zhang, Shunyao Wu, Xinmin Li, Ruixue Wang

Proceedings of the 9th International Symposium on Computational Intelligence and Design, 2016

Traffic flow forecast with urban transport network.

Di Wang, Qi Zhang, Shunyao Wu, Xinmin Li, Ruixue Wang

Proceedings of the IEEE International Conference on Intelligent Transportation Engineering, 2016

Low power baseband processor for IoT terminals with long range wireless communications.

Shunyao Wu, Sungmoon Kang, Chaitali Chakrabarti, Hyunseok Lee

Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

Disease gene discovery of single-gene disorders based on complex network.

Chunxiao Xing, Shunyao Wu, Fengjing Shao, Rencheng Sun

Proceedings of the 3rd IEEE/ACM International Conference on Big Data Computing, 2016

2014

Enteromorpha Prolifera Detection with MODIS Image Using Semi-supervised Clustering.

Shunyao Wu, Fengjing Shao, Ying Wang, Rencheng Sun, Jinlong Wang

J. Comput., 2014

2012

An Effective Semi-Supervised Clustering Framework Integrating Pairwise Constraints and Attribute Preferences.

Jinlong Wang, Shunyao Wu, Can Wen, Gang Li

Comput. Informatics, 2012

2011

Integrating instance-level and attribute-level knowledge into document clustering.

Jinlong Wang, Shunyao Wu, Gang Li, Zhe Wei

Comput. Sci. Inf. Syst., 2011

2010

A Visual Mining System for Theme Development Evolution Analysis of Scientific Literature.

Jinlong Wang, Can Wen, Shunyao Wu, Huy Quan Vu

J. Digit. Content Technol. its Appl., 2010

Study on Student Score Based on Data Mining.

Jinlong Wang, Shunyao Wu, Yang Jiao, Huy Quan Vu

J. Convergence Inf. Technol., 2010

Clustering with Instance and Attribute Level Side Information.

Jinlong Wang, Shunyao Wu, Gang Li

Int. J. Comput. Intell. Syst., 2010

Text document clustering with metric learning.

Jinlong Wang, Shunyao Wu, Huy Quan Vu, Gang Li

Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010

Text clustering with important words using normalization.

Shunyao Wu, Jinlong Wang, Huy Quan Vu, Gang Li

Proceedings of the 2010 Joint International Conference on Digital Libraries, 2010