Yunxiang Zhao

Orcid: 0000-0001-6065-811X

According to our database1, Yunxiang Zhao authored at least 25 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Predicting the transmission trend of respiratory viruses in new regions via geospatial similarity learning.
Int. J. Appl. Earth Obs. Geoinformation, December, 2023

Learning Region Similarities via Graph-Based Deep Metric Learning.
IEEE Trans. Knowl. Data Eng., October, 2023

Development and application of an efficient genomic mating method to maximize the production performances of three-way crossbred pigs.
Briefings Bioinform., January, 2023

Recent Trends in Deep Learning Based Textual Emotion Cause Extraction.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

A Task-Oriented General-Purpose Distributed Computing System Based on CLTS Scheduling Algorithm.
IEEE Access, 2023

A Method for Person Re-Identification and Trajectory Tracking in Cross-Device Edge Environments.
Proceedings of the 19th International Conference on Mobility, Sensing and Networking, 2023

Meta-Tsallis-Entropy Minimization: A New Self-Training Approach for Domain Adaptation on Text Classification.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

DaMSTF: Domain Adversarial Learning Enhanced Meta Self-Training for Domain Adaptation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Scalable Building Height Estimation From Street Scene Images.
IEEE Trans. Geosci. Remote. Sens., 2022

SIFTER: A Framework for Robust Rumor Detection.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

Visual object tracking: A survey.
Comput. Vis. Image Underst., 2022

Detecting Arbitrary Order Beneficial Feature Interactions for Recommender Systems.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021
Effective Spatial Feature Extraction via Convolutional Neural Networks.
PhD thesis, 2021

ECG signal classification based on deep CNN and BiLSTM.
BMC Medical Informatics Decis. Mak., 2021

WGCN: Graph Convolutional Networks with Weighted Structural Features.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Graph Pooling via Coarsened Graph Infomax.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

2020
HexCNN: A Framework for Native Hexagonal Convolutional Neural Networks.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019
CBHE: Corner-based Building Height Estimation for Complex Street Scene Images.
Proceedings of the World Wide Web Conference, 2019

2017
Web Service Appliance Based on Unikernel.
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems Workshops, 2017

2016
Pegasus: a distributed and load-balancing fingerprint identification system.
Frontiers Inf. Technol. Electron. Eng., 2016

Best Effort Task Scheduling for Data Parallel Jobs.
Proceedings of the ACM SIGCOMM 2016 Conference, Florianopolis, Brazil, August 22-26, 2016, 2016

Hermes: An Optimization of HyperLogLog Counting in real-time data processing.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

A mobile recommendation system based on logistic regression and Gradient Boosting Decision Trees.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Efficient Semantic-Aware Coflow Scheduling for Data-Parallel Jobs.
Proceedings of the 2016 IEEE International Conference on Cluster Computing, 2016

2015
DFIS: A Scalable Distributed Fingerprint Identification System.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2015


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