| 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 | 25 | 2019 |
| TeamNet: A Collaborative Inference Framework on the Edge Y Fang, Z Jin, R Zheng 2019 IEEE 39th International Conference on Distributed Computing Systems …, 2019 | 11 | 2019 |
| 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 | 10 | 2020 |
| 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 | 8 | 2023 |
| 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 | 2 | 2024 |
| 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 | 2 | 2022 |
| 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 |
Rong ZhengComputing and Software, McMaster UniversityVerified email at mcmaster.ca
