Yifan Li

Affiliations:
  • University of Texas at Dallas, Department of Engineering and Computer Science, Richardson, TX, USA


According to our database1, Yifan Li authored at least 16 papers between 2017 and 2022.

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

2022
SACCOS: A Semi-Supervised Framework for Emerging Class Detection and Concept Drift Adaption Over Data Streams.
IEEE Trans. Knowl. Data Eng., 2022

Unified Spatio-Temporal Graph Neural Networks: Data-Driven Modeling for Social Science.
Proceedings of the International Joint Conference on Neural Networks, 2022

2021
Attention-Based Spatial Guidance for Image-to-Image Translation.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Generating Point Cloud from Single Image in The Few Shot Scenario.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Data-Driven Time Series Forecasting for Social Studies Using Spatio-Temporal Graph Neural Networks.
Proceedings of the GoodIT '21: Conference on Information Technology for Social Good, 2021

Cross-Domain Sentiment Classification with Attention-Assisted GAN.
Proceedings of the Third IEEE International Conference on Cognitive Machine Intelligence, 2021

Unsupervised Perturbation based Self-Supervised Adversarial Training.
Proceedings of the 7th IEEE International Conference on Big Data Security on Cloud, 2021

Single View Point Cloud Generation via Unified 3D Prototype.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Deep Learning on Knowledge Graph for Recommender System: A Survey.
CoRR, 2020

SetConv: A New Approach for Learning from Imbalanced Data.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

A Simple, Effective and Extendible Approach to Deep Multi-task Learning.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Multistream Classification for Cyber Threat Data with Heterogeneous Feature Space.
Proceedings of the World Wide Web Conference, 2019

Towards Self-Adaptive Metric Learning On the Fly.
Proceedings of the World Wide Web Conference, 2019

COMC: A Framework for Online Cross-domain Multistream Classification.
Proceedings of the International Joint Conference on Neural Networks, 2019

SIM: Open-World Multi-Task Stream Classifier with Integral Similarity Metrics.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2017
Multistream regression with asynchronous concept drift detection.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017


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