1 code implementation • 3 Jan 2023 • Fangyu Li, Shenbao Yu, Feng Zeng, Fang Yang
We conduct extensive experiments on two influential open-source libraries, and the results demonstrate that our improved loss function significantly enhances the performance of GRU4Rec, SASRec, SR-GNN, and S3Rec models, improving their benchmarks significantly.
no code implementations • 1 Sep 2022 • Junyi Liu, Yifu Tang, Haimeng Zhao, Xieheng Wang, Fangyu Li, Jingyi Zhang
In order to train a global multi-class classifier without sharing the raw data across all nodes, the main result of our study is designing a multi-node multi-class classification ensemble approach.
1 code implementation • IEEE Intelligent Vehicles Symposium 2021 • Fangyu Li, N. Dinesh Reddy, Xudong Chen and Srinivasa G. Narasimhan
Reconstructing 4D vehicular activity (3D space and time) from cameras is useful for autonomous vehicles, commuters and local authorities to plan for smarter and safer cities.
1 code implementation • ICLR 2020 • Adam W. Harley, Shrinidhi K. Lakshmikanth, Fangyu Li, Xian Zhou, Hsiao-Yu Fish Tung, Katerina Fragkiadaki
Predictive coding theories suggest that the brain learns by predicting observations at various levels of abstraction.
no code implementations • 8 Feb 2018 • Minhui Zou, Yang Shi, Chengliang Wang, Fangyu Li, WenZhan Song, Yu Wang
With the popularity of deep learning (DL), artificial intelligence (AI) has been applied in many areas of human life.