no code implementations • 3 Sep 2024 • Yihao Chen, Haochen Wu, Nan Jiang, Xiang Xia, Qing Gu, Yunqi Hao, Pengfei Cai, Yu Guan, Jialong Wang, Weilin Xie, Lei Fang, Sian Fang, Yan Song, Wu Guo, Lin Liu, Minqiang Xu
In Track 2, we continued using the CM system from Track 1 and fused it with a CNN-based ASV system.
no code implementations • 26 May 2024 • Peiwen Li, Xin Wang, Zeyang Zhang, Yijian Qin, Ziwei Zhang, Jialong Wang, Yang Li, Wenwu Zhu
We propose to handle the distribution shifts in the graph architecture search process by discovering and exploiting the causal relationship between graphs and architectures to search for the optimal architectures that can generalize under distribution shifts.
no code implementations • 23 Apr 2024 • Peiwen Li, Xin Wang, Zeyang Zhang, Yuan Meng, Fang Shen, Yue Li, Jialong Wang, Yang Li, Wenweu Zhu
In the field of Artificial Intelligence for Information Technology Operations, causal discovery is pivotal for operation and maintenance of graph construction, facilitating downstream industrial tasks such as root cause analysis.
no code implementations • 23 Sep 2022 • Yu Zheng, Jinghan Peng, Yihao Chen, Yajun Zhang, Jialong Wang, Min Liu, Minqiang Xu
In the pre-training stage we reserve the speaker weights, and there are no positive samples to train them in this stage.
no code implementations • 21 Sep 2022 • Zhanyu Guo, Shenyuan Guo, Jialong Wang, Yifan Feng
In this project, an intelligent drug delivery car is designed and manufactured, which can recognize the road route and the room number of the target ward through visual recognition technology.
1 code implementation • 15 Jun 2021 • Zheng Wang, Jialong Wang, Yuchen Guo, Zhiguo Gong
Node classification is a central task in graph data analysis.
no code implementations • 31 Dec 2020 • Yuefeng Di, Jialong Wang, Ruiyu Zhou, Ligong Bian, Rong-Gen Cai, Jing Liu
We perform the three dimensional lattice simulation of the magnetic field and gravitational wave productions from bubble collisions during the first-order electroweak phase transition.
Cosmology and Nongalactic Astrophysics High Energy Physics - Lattice High Energy Physics - Phenomenology
1 code implementation • 16 Sep 2020 • Qiang Fu, Jialong Wang, Hongshan Yu, Islam Ali, Feng Guo, Yijia He, Hong Zhang
This paper presents PL-VINS, a real-time optimization-based monocular VINS method with point and line features, developed based on the state-of-the-art point-based VINS-Mono \cite{vins}.