no code implementations • 2 Mar 2024 • Wei Ju, Yusheng Zhao, Yifang Qin, Siyu Yi, Jingyang Yuan, Zhiping Xiao, Xiao Luo, Xiting Yan, Ming Zhang
Toward this end, this paper proposes Conjoint Spatio-Temporal graph neural network (abbreviated as COOL), which models heterogeneous graphs from prior and posterior information to conjointly capture high-order spatio-temporal relationships.
no code implementations • 1 Jan 2024 • Hourun Li, Yusheng Zhao, Zhengyang Mao, Yifang Qin, Zhiping Xiao, Jiaqi Feng, Yiyang Gu, Wei Ju, Xiao Luo, Ming Zhang
However, most of the research in this area is still concentrated on traffic forecasting, while other ITS domains, such as autonomous vehicles and urban planning, still require more attention.
no code implementations • 21 Sep 2023 • Yusheng Zhao, Xiao Luo, Wei Ju, Chong Chen, Xian-Sheng Hua, Ming Zhang
This paper studies the problem of traffic flow forecasting, which aims to predict future traffic conditions on the basis of road networks and traffic conditions in the past.
no code implementations • 14 Jun 2023 • Jingyang Yuan, Xiao Luo, Yifang Qin, Yusheng Zhao, Wei Ju, Ming Zhang
Since this regularization term cannot utilize label information, it can enhance the robustness of node representations to label noise.
no code implementations • 31 May 2023 • Xiao Luo, Yusheng Zhao, Yifang Qin, Wei Ju, Ming Zhang
To tackle class shifts, we estimate the certainty of unlabeled graphs using multiple subgraphs, which facilities the discovery of unlabeled data from unknown categories.
no code implementations • 11 Apr 2023 • Wei Ju, Zheng Fang, Yiyang Gu, Zequn Liu, Qingqing Long, Ziyue Qiao, Yifang Qin, Jianhao Shen, Fang Sun, Zhiping Xiao, Junwei Yang, Jingyang Yuan, Yusheng Zhao, Yifan Wang, Xiao Luo, Ming Zhang
Graph representation learning aims to effectively encode high-dimensional sparse graph-structured data into low-dimensional dense vectors, which is a fundamental task that has been widely studied in a range of fields, including machine learning and data mining.
1 code implementation • 19 Jul 2022 • Yusheng Zhao, Jinyu Chen, Chen Gao, Wenguan Wang, Lirong Yang, Haibing Ren, Huaxia Xia, Si Liu
Vision-language navigation is the task of directing an embodied agent to navigate in 3D scenes with natural language instructions.
no code implementations • 5 Aug 2021 • Dailan He, Yusheng Zhao, Junyu Luo, Tianrui Hui, Shaofei Huang, Aixi Zhang, Si Liu
Existing works usually adopt dynamic graph networks to indirectly model the intra/inter-modal interactions, making the model difficult to distinguish the referred object from distractors due to the monolithic representations of visual and linguistic contents.
no code implementations • 24 Feb 2021 • Jian Chen, Hu Cheng, Xuefeng Zhou, Xiaozhi Yan, Lingfei Wang, Yusheng Zhao, Shanmin Wang
However, the ruby scale can often hardly be used for programmably-controlled DAC devices, especially the piezoelectric-driving cells, where a continuous pressure calibration is required.
Applied Physics Materials Science
1 code implementation • 28 Oct 2020 • Yusheng Zhao, Huanqian Yan, Xingxing Wei
Additionally, we have applied the proposed methods to competition "Adversarial Challenge on Object Detection" that is organized by Alibaba on the Tianchi platform and won top 7 in 1701 teams.
no code implementations • 10 Nov 2019 • Azkar Saeed Ahmad, Yongcheng Liang, Mingdong Dong, Xuefeng Zhou, Leiming Fang, Yuanhua Xia, Jianhong Dai, Xiaozhi Yan, Xiaohui Yu, Guojun Zhang, Yusheng Zhao, Shanmin Wang
Layered transition-metal compounds with controllable magnetic behaviors provide many fascinating opportunities for the fabrication of high-performance magneto-electric and spintronic devices.
Materials Science