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Yihao Fang
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Gated branch neural network for mandatory lane changing suggestion at the on-ramps of highway
Y Dou, Y Fang, C Hu, R Zheng, F Yan
IET Intelligent Transport Systems 13 (1), 48-54, 2019
252019
TeamNet: A Collaborative Inference Framework on the Edge
Y Fang, Z Jin, R Zheng
2019 IEEE 39th International Conference on Distributed Computing Systems …, 2019
92019
CacheNet: A Model Caching Framework for Deep Learning Inference on the Edge
Y Fang, SM Shalmani, R Zheng
DEEP LEARNING ON THE EDGE: MODEL PARTITIONING, CACHING, AND COMPRESSION, 2020
82020
ChatGPT as Data Augmentation for Compositional Generalization: A Case Study in Open Intent Detection
Y Fang, X Li, SW Thomas, X Zhu
Proceedings of the Joint Workshop of the 5th Financial Technology and …, 2023
42023
Exploring Robustness of Prefix Tuning in Noisy Data: A Case Study in Financial Sentiment Analysis
S Balakrishnan, Y Fang, X Zhu
Proceedings of the Fourth Workshop on Financial Technology and Natural …, 2022
22022
HGOT: Hierarchical Graph of Thoughts for Retrieval-Augmented In-Context Learning in Factuality Evaluation
Y Fang, SW Thomas, X Zhu
arXiv preprint arXiv:2402.09390, 2024
2024
The Role of Marketing Spending and Website Content on Digital Funnel Progression: A Deep Learning-based Attribution Model
Y Fang, C Kolsarici, P Kopalle, X Zhu
Marketing Dynamics Conference, 2023
2023
Deep Learning on the Edge: Model Partitioning, Caching, and Compression
Y Fang
McMaster University, 2020
2020
Logographic Subword Model for Neural Machine Translation
Y Fang, R Zheng, X Zhu
DEEP LEARNING ON THE EDGE: MODEL PARTITIONING, CACHING, AND COMPRESSION, 2020
2020
Prediction of the Surrounding Vehicles’ Discretionary Lane Changing Intention at Freeway: A Gated Recurrent Units Approach
Y Dou, Y Fang, C Hu, R Zheng, F Yan
DRIVER BEHAVIOUR PREDICTION MODELS USING ARTIFICIAL INTELLIGENCE ALGORITHMS …, 2019
2019
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