1 code implementation • COLING 2022 • Ziyao Xu, Houfeng Wang, Bingdong Wang
However, previous work only used the biaffine method at the end of the dependency parser as a scorer, and its application in multi-layer form is ignored.
1 code implementation • 17 May 2024 • Ziyao Xu, Houfeng Wang
Our work shows the necessity for comprehensive research on different manifestations of compositional generalization in data-to-text generation and provides a framework for evaluation.
no code implementations • 10 Apr 2024 • Diankun Zhang, Guoan Wang, Runwen Zhu, Jianbo Zhao, Xiwu Chen, Siyu Zhang, Jiahao Gong, Qibin Zhou, Wenyuan Zhang, Ningzi Wang, Feiyang Tan, Hangning Zhou, Ziyao Xu, Haotian Yao, Chi Zhang, Xiaojun Liu, Xiaoguang Di, Bin Li
End-to-End paradigms use a unified framework to implement multi-tasks in an autonomous driving system.
no code implementations • 20 Aug 2023 • Chen Feng, Hangning Zhou, Huadong Lin, Zhigang Zhang, Ziyao Xu, Chi Zhang, Boyu Zhou, Shaojie Shen
Predicting the future behavior of agents is a fundamental task in autonomous vehicle domains.
no code implementations • 25 Jul 2023 • Qian Wu, Ruixuan Xiao, Kaixin Xu, Jingcheng Ni, Boxun Li, Ziyao Xu
The second component is the Temporal Aggregation Module (TAM), which separates embeddings into trend and seasonal components, and extracts meaningful temporal correlations to identify primary components, while filtering out random noise.
1 code implementation • 18 Apr 2023 • Xiyang Wang, Chunyun Fu, JiaWei He, Mingguang Huang, Ting Meng, Siyu Zhang, Hangning Zhou, Ziyao Xu, Chi Zhang
In the classical tracking-by-detection (TBD) paradigm, detection and tracking are separately and sequentially conducted, and data association must be properly performed to achieve satisfactory tracking performance.
no code implementations • 30 Jun 2022 • Yuting Wang, Hangning Zhou, Zhigang Zhang, Chen Feng, Huadong Lin, Chaofei Gao, Yizhi Tang, Zhenting Zhao, Shiyu Zhang, Jie Guo, Xuefeng Wang, Ziyao Xu, Chi Zhang
This technical report presents an effective method for motion prediction in autonomous driving.
Ranked #12 on Motion Forecasting on Argoverse CVPR 2020
no code implementations • 25 May 2022 • Eduardo Pérez-Pellitero, Sibi Catley-Chandar, Richard Shaw, Aleš Leonardis, Radu Timofte, Zexin Zhang, Cen Liu, Yunbo Peng, Yue Lin, Gaocheng Yu, Jin Zhang, Zhe Ma, Hongbin Wang, Xiangyu Chen, Xintao Wang, Haiwei Wu, Lin Liu, Chao Dong, Jiantao Zhou, Qingsen Yan, Song Zhang, Weiye Chen, Yuhang Liu, Zhen Zhang, Yanning Zhang, Javen Qinfeng Shi, Dong Gong, Dan Zhu, Mengdi Sun, Guannan Chen, Yang Hu, Haowei Li, Baozhu Zou, Zhen Liu, Wenjie Lin, Ting Jiang, Chengzhi Jiang, Xinpeng Li, Mingyan Han, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Juan Marín-Vega, Michael Sloth, Peter Schneider-Kamp, Richard Röttger, Chunyang Li, Long Bao, Gang He, Ziyao Xu, Li Xu, Gen Zhan, Ming Sun, Xing Wen, Junlin Li, Shuang Feng, Fei Lei, Rui Liu, Junxiang Ruan, Tianhong Dai, Wei Li, Zhan Lu, Hengyan Liu, Peian Huang, Guangyu Ren, Yonglin Luo, Chang Liu, Qiang Tu, Fangya Li, Ruipeng Gang, Chenghua Li, Jinjing Li, Sai Ma, Chenming Liu, Yizhen Cao, Steven Tel, Barthelemy Heyrman, Dominique Ginhac, Chul Lee, Gahyeon Kim, Seonghyun Park, An Gia Vien, Truong Thanh Nhat Mai, Howoon Yoon, Tu Vo, Alexander Holston, Sheir Zaheer, Chan Y. Park
The challenge is composed of two tracks with an emphasis on fidelity and complexity constraints: In Track 1, participants are asked to optimize objective fidelity scores while imposing a low-complexity constraint (i. e. solutions can not exceed a given number of operations).
1 code implementation • 29 Jan 2021 • Ziyao Xu, Yang Yang
The discrete fracture model (DFM) has been widely used in the simulation of fluid flow in fractured porous media.
Numerical Analysis Numerical Analysis
no code implementations • 29 Jan 2021 • Ziyao Xu, Zhaoqin Huang, Yang Yang
In this paper, we extend the reinterpreted discrete fracture model for flow simulation of fractured porous media containing flow blocking barriers on non-conforming meshes.
Numerical Analysis Numerical Analysis
no code implementations • 15 Oct 2020 • Yang Deng, Ziyao Xu, Li Zhou, Huanping Liu, Anqi Huang
Starting from the essence of the music, the article constructs a music-rule-identifying algorithm through extracting modes, which will identify the stability of the mode of machine-generated music, to judge whether it is artificial intelligent.
1 code implementation • ECCV 2020 • Jiahao Li, Changhao Zhang, Ziyao Xu, Hangning Zhou, Chi Zhang
In this paper, we propose a novel learning-based pipeline for partially overlapping 3D point cloud registration.