Shiyu Zhang

most citedTENET: Transformer Encoding Network for Effective Temporal Flow on Motion Prediction

8 citations · 8 across the 3 of their papers we have counts for

collaborators

3 papers

astro-ph.GA2025

Large-field CO(1-0) observations toward the Galactic historical supernova remnants: shocked molecular clouds toward the Crab Nebula

Xuepeng Chen, Dong Wang, Qianru He +4

Using the PMO 13.7m telescope, we present large-field and high-sensitivity CO(1-0) line observations toward the Crab Nebula, in order to better understand the interstellar gas envi…

astro-ph.GA2022

CO(J = 1-0) Observations toward the Filamentary Cloud in the Galactic Region of $153.6 0^{\circ} ⩽ l ⩽ 156.5 0^{\circ}$ and $1.8 5^{\circ} ⩽ b ⩽ 3.5 0^{\circ}$

Weihua Guo, Xuepeng Chen, Jiancheng Feng +11

We present observations of $J$ =1-0 transition lines of $^{12} CO$ , $^{13} CO$ , and $C^{18} O$ towards the Galactic region of $153.60^{\cir…

cs.CV2022★ 8 cited

TENET: Transformer Encoding Network for Effective Temporal Flow on Motion Prediction

Yuting Wang, Hangning Zhou, Zhigang Zhang +10

This technical report presents an effective method for motion prediction in autonomous driving. We develop a Transformer-based method for input encoding and trajectory prediction.…

Large-field CO(1-0) observations toward the Galactic historical supernova remnants: shocked molecular clouds toward the Crab Nebula

CO(J = 1-0) Observations toward the Filamentary Cloud in the Galactic Region of 153.60∘⩽l⩽156.50∘ and 1.85∘⩽b⩽3.50∘

TENET: Transformer Encoding Network for Effective Temporal Flow on Motion Prediction

CO(J = 1-0) Observations toward the Filamentary Cloud in the Galactic Region of $153.6 0^{\circ} ⩽ l ⩽ 156.5 0^{\circ}$ and $1.8 5^{\circ} ⩽ b ⩽ 3.5 0^{\circ}$