Gang Ren
Affiliations:- University of Miami, Department of Computer Science, Institute of Data Science and Computing, Coral Gables, FL, USA
According to our database1,
Gang Ren
authored at least 11 papers
between 2016 and 2020.
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Bibliography
2020
Long-Duration Waveform Descriptive Grammar for Consumer Electronics Design, Diagnosis, and Validation.
Proceedings of the 2020 IEEE International Conference on Consumer Electronics (ICCE), 2020
Effective Detection of Rare Anomalies from Massive Waveform Data Using Heterogeneous Clustering.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
2019
Survival of the Fastest: Using Sequential Pattern Analysis to Measure Efficiency of Complex Organizational Processes.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019
Multi-scale Sequential Pattern Discovery and Alignment for Long-Duration Waveform Similarity Quantification and Interpretation.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019
Categorical Timeline Allocation and Alignment for Diagnostic Head Movement Tracking Feature Analysis.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019
Scaling Up Heterogeneous Waveform Clustering for Long-Duration Monitoring Signal Acquisition, Analysis, and Interaction: Bridging Big Data Analytics with Measurement Instrument Usage Pattern.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
2018
The Semantic Shapes of Popular Music Lyrics: Graph-Based Representation, Analysis, and Interpretation of Popular Music Lyrics in Semantic Natural Language Embedding Space.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018
2017
Transforming Musical Signals through a Genre Classifying Convolutional Neural Network.
CoRR, 2017
Student Retention Pattern Prediction Employing Linguistic Features Extracted from Admission Application Essays.
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017
2016
Sequential Pattern Based Temporal Contour Representations for Content-Based Multimedia Timeline Analysis.
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016