Lin Yang
Affiliations:- Gyrfalcon Technology Inc., Milpitas, CA, USA
According to our database1,
Lin Yang
authored at least 14 papers
between 2018 and 2020.
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Bibliography
2020
CoRR, 2020
Proceedings of the IEEE International Conference on Image Processing, 2020
Multi-modal Sentiment Analysis using Super Characters Method on Low-power CNN Accelerator Device.
Proceedings of the 3rd Workshop on Affective Content Analysis (AffCon 2020) co-located with Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), 2020
2019
System Demo for Transfer Learning across Vision and Text using Domain Specific CNN Accelerator for On-Device NLP Applications.
CoRR, 2019
SuperChat: Dialogue Generation by Transfer Learning from Vision to Language using Two-dimensional Word Embedding and Pretrained ImageNet CNN Models.
CoRR, 2019
2-bit Model Compression of Deep Convolutional Neural Network on ASIC Engine for Image Retrieval.
CoRR, 2019
SuperTML: Two-Dimensional Word Embedding and Transfer Learning Using ImageNet Pretrained CNN Models for the Classifications on Tabular Data.
CoRR, 2019
Proceedings of the 8th International Workshop on Big Data, 2019
On-device Chatbot System using SuperChat Method on Raspberry Pi and CNN Domain Specific Accelerator.
Proceedings of the 8th International Workshop on Big Data, 2019
Demonstration of Applications in Computer Vision and NLP on Ultra Power-Efficient CNN Domain Specific Accelerator with 9.3TOPS/Watt.
Proceedings of the IEEE International Conference on Multimedia & Expo Workshops, 2019
SuperTML: Two-Dimensional Word Embedding for the Precognition on Structured Tabular Data.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019
Squared English Word: A Method of Generating Glyph to Use Super Characters for Sentiment Analysis.
Proceedings of the 2nd Workshop on Affective Content Analysis (AffCon 2019) co-located with Thirty-Third AAAI Conference on Artificial Intelligence (AAAI 2019), 2019
2018
Super Characters: A Conversion from Sentiment Classification to Image Classification.
Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, 2018
Ultra Power-Efficient CNN Domain Specific Accelerator With 9.3TOPS/Watt for Mobile and Embedded Applications.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018