1 code implementation • 1 Mar 2023 • Cong Wang, Zhiwei Jiang, Yafeng Yin, Zifeng Cheng, Shiping Ge, Qing Gu
For deep ordinal classification, learning a well-structured feature space specific to ordinal classification is helpful to properly capture the ordinal nature among classes.
no code implementations • semantic scholar 2022 • Zhichen Liu, Yafeng Yin, Bai fan, and Donald K Grimm
The centerpiece of the proposed framework is to use deep neural networks to represent travelers’ route choice preferences and then encapsulate the neural networks in a variational inequality that prescribes the user equilibrium flow distribution.
1 code implementation • 16 Apr 2022 • Zifeng Cheng, Zhiwei Jiang, Yafeng Yin, Cong Wang, Qing Gu
In our method, soft labeling is used to reshape the label distribution of the known intent samples, aiming at reducing model's overconfident on known intents.
no code implementations • 17 Feb 2022 • Alexander Johansson, Jonas Mårtensson, Xiaotong Sun, Yafeng Yin
The profit of each fleet incorporates platooning rewards and costs for waiting at hubs.
no code implementations • 23 Jul 2021 • Alexander Sundt, Qi Luo, John Vincent, Mehrdad Shahabi, Yafeng Yin
Ride-pooling has become an important service option offered by ride-hailing platforms as it serves multiple trip requests in a single ride.
1 code implementation • COLING 2020 • Zifeng Cheng, Zhiwei Jiang, Yafeng Yin, Hua Yu, Qing Gu
Each subnetwork is composed of a clause representation learner and a local pair searcher.
no code implementations • COLING 2018 • Zhiwei Jiang, Qing Gu, Yafeng Yin, Daoxu Chen
In this paper, we present a method which learns the word embedding for readability assessment.