81 citations · 130 across the 7 of their papers we have counts for
7 papers
Emily: Developing An Emotion-affective Open-Domain Chatbot with Knowledge Graph-based Persona
Weixuan Wang, Xiaoling Cai, Chong Hsuan Huang +4
In this paper, we describe approaches for developing Emily, an emotion-affective open-domain chatbot. Emily can perceive a user's negative emotion state and offer supports by posit…
Intrinsic-Extrinsic Preserved GANs for Unsupervised 3D Pose Transfer
Haoyu Chen, Hao Tang, Henglin Shi +3
With the strength of deep generative models, 3D pose transfer regains intensive research interests in recent years. Existing methods mainly rely on a variety of constraints to achi…
TPRM: A Topic-based Personalized Ranking Model for Web Search
Minghui Huang, Wei Peng, Dong Wang
Ranking models have achieved promising results, but it remains challenging to design personalized ranking systems to leverage user profiles and semantic representations between que…
A novel meta-learning initialization method for physics-informed neural networks
Xu Liu, Xiaoya Zhang, Wei Peng +2
Physics-informed neural networks (PINNs) have been widely used to solve various scientific computing problems. However, large training costs limit PINNs for some real-time applicat…
Accelerating Physics-Informed Neural Network Training with Prior Dictionaries
Wei Peng, Weien Zhou, Jun Zhang +1
Physics-Informed Neural Networks (PINNs) can be regarded as general-purpose PDE solvers, but it might be slow to train PINNs on particular problems, and there is no theoretical gua…
Dictionary-based Data Augmentation for Cross-Domain Neural Machine Translation
Wei Peng, Chongxuan Huang, Tianhao Li +2
Existing data augmentation approaches for neural machine translation (NMT) have predominantly relied on back-translating in-domain (IND) monolingual corpora. These methods suffer f…