13 citations · 15 across the 5 of their papers we have counts for
5 papers
LR-CNN: Lightweight Row-centric Convolutional Neural Network Training for Memory Reduction
Zhigang Wang, Hangyu Yang, Ning Wang +5
In the last decade, Convolutional Neural Network with a multi-layer architecture has advanced rapidly. However, training its complex network is very space-consuming, since a lot of…
Accelerating Heterogeneous Tensor Parallelism via Flexible Workload Control
Zhigang Wang, Xu Zhang, Ning Wang +5
Transformer-based models are becoming deeper and larger recently. For better scalability, an underlying training solution in industry is to split billions of parameters (tensors) i…
PanGu-Bot: Efficient Generative Dialogue Pre-training from Pre-trained Language Model
Fei Mi, Yitong Li, Yulong Zeng +7
In this paper, we introduce PanGu-Bot, a Chinese pre-trained open-domain dialogue generation model based on a large pre-trained language model (PLM) PANGU-alpha (Zeng et al.,2021).…
Spatial-Temporal Deep Intention Destination Networks for Online Travel Planning
Yu Li, Fei Xiong, Ziyi Wang +4
Nowadays, artificial neural networks are widely used for users' online travel planning. Personalized travel planning has many real applications and is affected by various factors,…
Itinerary-aware Personalized Deep Matching at Fliggy
Jia Xu, Ziyi Wang, Zulong Chen +3
Matching items for a user from a travel item pool of large cardinality have been the most important technology for increasing the business at Fliggy, one of the most popular online…