no code implementations • 18 Mar 2024 • Yile Chen, Xiucheng Li, Gao Cong, Zhifeng Bao, Cheng Long
In this study, we introduce a novel framework called Toast for learning general-purpose representations of road networks, along with its advanced counterpart DyToast, designed to enhance the integration of temporal dynamics to boost the performance of various time-sensitive downstream tasks.
no code implementations • International Conference on Image Processing (ICIP) 2022 • Cheng Long, Adrian Barbu
Shape modeling is a challenging task with many potential applications in computer vision and medical imaging.
no code implementations • 6 Feb 2024 • Kethmi Hirushini Hettige, Jiahao Ji, Shili Xiang, Cheng Long, Gao Cong, Jingyuan Wang
Air quality prediction and modelling plays a pivotal role in public health and environment management, for individuals and authorities to make informed decisions.
no code implementations • 18 Jan 2024 • Chenxi Liu, Sun Yang, Qianxiong Xu, Zhishuai Li, Cheng Long, Ziyue Li, Rui Zhao
In this paper, we propose a Spatial-Temporal Large Language Model (ST-LLM) for traffic prediction.
no code implementations • 5 Nov 2023 • Qianxiong Xu, Cheng Long, Ziyue Li, Sijie Ruan, Rui Zhao, Zhishuai Li
To address this issue, we first present a novel Increment training strategy: instead of masking nodes (and reconstructing them), we add virtual nodes into the training graph so as to mitigate the graph gap issue naturally.
1 code implementation • 25 Oct 2023 • Sixiao Zhang, Hongzhi Yin, Hongxu Chen, Cheng Long
These gradients are used to compute a swap loss, which maximizes the loss of the student model.
no code implementations • 16 Oct 2023 • Jiahao Ji, Jingyuan Wang, Yu Mou, Cheng Long
The framework consists of two main components: an automatic graph decomposition module that decomposes the original graph structure inherent in ST data into subgraphs corresponding to different factors, and a decomposed learning network that learns the partial ST data on each subgraph separately and integrates them for the final prediction.
1 code implementation • ICCV 2023 • Qianxiong Xu, Wenting Zhao, Guosheng Lin, Cheng Long
Moreover, when calculating SCCA, we design a scaled-cosine mechanism to better utilize the support features for similarity calculation.
Ranked #7 on Few-Shot Semantic Segmentation on COCO-20i (5-shot)
no code implementations • 3 Jul 2023 • Xinhang Li, Xiangyu Zhao, Yejing Wang, Yu Liu, Yong Li, Cheng Long, Yong Zhang, Chunxiao Xing
As a representative information retrieval task, site recommendation, which aims at predicting the optimal sites for a brand or an institution to open new branches in an automatic data-driven way, is beneficial and crucial for brand development in modern business.
no code implementations • 13 Apr 2023 • Liang Zhang, Cheng Long
The constructed hypergraph would naturally capture the high-order relationships among roads with hyperedges.
1 code implementation • 22 Mar 2023 • Qianxiong Xu, Cheng Long, Liang Yu, Chen Zhang
In this paper, we propose to conduct road extraction based on satellite images and partial road maps, which is new.
1 code implementation • 17 Mar 2023 • Jianyang Gao, Cheng Long
Approximate K nearest neighbor (AKNN) search is a fundamental and challenging problem.
1 code implementation • 15 Nov 2022 • Zheng Wang, Mingrui Liu, Cheng Long, Qianru Zhang, Jiangneng Li, Chunyan Miao
The DeepSEI model incorporates two networks called deep network and recurrent network, which extract the features of the mobility records from three aspects, namely spatiality, temporality and activity, one at a coarse level and the other at a detailed level.
1 code implementation • 15 Nov 2022 • Liang Zhang, Cheng Long, Gao Cong
Motivated by the success of contrastive learning for representation learning, we propose to leverage it for multi-view region representation learning and design a model called ReMVC (Region Embedding with Multi-View Contrastive Learning) by following two guidelines: i) comparing a region with others within each view for effective representation extraction and ii) comparing a region with itself across different views for cross-view information sharing.
1 code implementation • 13 Nov 2022 • Kaixin Wang, Cheng Long, Da Yan, Jie Zhang, H. V. Jagadish
Specifically, we propose a weighted sampling algorithm called WSD for estimating the subgraph count in a fully dynamic graph stream, which samples the edges based on their weights that indicate their importance and reflect their properties.
1 code implementation • 12 Nov 2022 • Qianru Zhang, Zheng Wang, Cheng Long, Chao Huang, Siu-Ming Yiu, Yiding Liu, Gao Cong, Jieming Shi
Detecting anomalous trajectories has become an important task in many location-based applications.
no code implementations • 24 May 2022 • Shaowen Zhou, Bowen Yu, Aixin Sun, Cheng Long, Jingyang Li, Haiyang Yu, Jian Sun, Yongbin Li
Open Information Extraction (OpenIE) facilitates domain-independent discovery of relational facts from large corpora.
Ranked #1 on Open Information Extraction on CaRB
Natural Language Understanding Open-Domain Question Answering +1
no code implementations • 28 Feb 2022 • Yile Chen, Xiucheng Li, Gao Cong, Cheng Long, Zhifeng Bao, Shang Liu, Wanli Gu, Fuzheng Zhang
As a fundamental component in location-based services, inferring the relationship between points-of-interests (POIs) is very critical for service providers to offer good user experience to business owners and customers.
no code implementations • 8 Mar 2021 • Tu Gu, Kaiyu Feng, Gao Cong, Cheng Long, Zheng Wang, Sheng Wang
Learned indices have been proposed to replace classic index structures like B-Tree with machine learning (ML) models.
no code implementations • 31 Jan 2021 • Pan Xiong, Lei Tong, Kun Zhang, Xuhui Shen, Roberto Battiston, Dimitar Ouzounov, Roberto Iuppa, Danny Crookes, Cheng Long, Huiyu Zhou
Amongst the available technologies for earthquake research, remote sensing has been commonly used due to its unique features such as fast imaging and wide image-acquisition range.
no code implementations • 5 Mar 2020 • Zheng Wang, Cheng Long, Gao Cong, Yiding Liu
Similar trajectory search is a fundamental problem and has been well studied over the past two decades.
no code implementations • 28 Feb 2019 • Ce Ju, Zheng Wang, Cheng Long, Xiao-Yu Zhang, Gao Cong, Dong Eui Chang
Forecasting the motion of surrounding obstacles (vehicles, bicycles, pedestrians and etc.)
Robotics I.2.9; I.2.0
no code implementations • 17 Dec 2018 • Zheng Wang, Ce Ju, Gao Cong, Cheng Long
Recently, the topic of graph representation learning has received plenty of attention.