activity
20202023
most citedMSTFormer: Motion Inspired Spatial-temporal Transformer with Dynamic-aware Attention for long-term Vessel Trajectory Prediction

4 citations · 6 across the 4 of their papers we have counts for

collaborators

6 papers

cs.LG2023★ 4 cited

MSTFormer: Motion Inspired Spatial-temporal Transformer with Dynamic-aware Attention for long-term Vessel Trajectory Prediction

Huimin Qiang, Zhiyuan Guo, Shiyuan Xie +1

Incorporating the dynamics knowledge into the model is critical for achieving accurate trajectory prediction while considering the spatial and temporal characteristics of the vesse…

cs.DC2022★ 1 cited

Zenix: Efficient Execution of Bulky Serverless Applications

Zhiyuan Guo, Zachary Blanco, Junda Chen +7

Serverless computing, commonly offered as Function-as-a-Service, was initially designed for small, lean applications. However, there has been an increasing desire to run larger, mo…

cs.CL2022

Neural Grapheme-to-Phoneme Conversion with Pre-trained Grapheme Models

Lu Dong, Zhi-Qiang Guo, Chao-Hong Tan +3

Neural network models have achieved state-of-the-art performance on grapheme-to-phoneme (G2P) conversion. However, their performance relies on large-scale pronunciation dictionarie…

cs.DC2021

Clio: A Hardware-Software Co-Designed Disaggregated Memory System

Zhiyuan Guo, Yizhou Shan, Xuhao Luo +2

Memory disaggregation has attracted great attention recently because of its benefits in efficient memory utilization and ease of management. So far, memory disaggregation research…

cs.CL2021★ 1 cited

Word-Free Spoken Language Understanding for Mandarin-Chinese

Zhiyuan Guo, Yuexin Li, Guo Chen +2

Spoken dialogue systems such as Siri and Alexa provide great convenience to people's everyday life. However, current spoken language understanding (SLU) pipelines largely depend on…

cs.CL2020

Fake News Detection with Different Models

Sairamvinay Vijayaraghavan, Ye Wang, Zhiyuan Guo +7

This is a paper for exploring various different models aiming at developing fake news detection models and we had used certain machine learning algorithms and we had used pretraine…