Search Results for author: Yan Lin

Found 21 papers, 11 papers with code

DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting

2 code implementations14 Dec 2024 Xiangfei Qiu, Xingjian Wu, Yan Lin, Chenjuan Guo, Jilin Hu, Bin Yang

First, we design a Temporal Clustering Module (TCM) that clusters time series into fine-grained distributions to handle heterogeneous temporal patterns.

Clustering energy management +4

An Experimental Evaluation of Imputation Models for Spatial-Temporal Traffic Data

1 code implementation6 Dec 2024 Shengnan Guo, Tonglong Wei, Yiheng Huang, Miaomiao Zhao, Ran Chen, Yan Lin, Youfang Lin, Huaiyu Wan

Traffic data imputation is a critical preprocessing step in intelligent transportation systems, enabling advanced transportation services.

Benchmarking Imputation +1

Mobility-LLM: Learning Visiting Intentions and Travel Preferences from Human Mobility Data with Large Language Models

1 code implementation29 Oct 2024 Letian Gong, Yan Lin, Xinyue Zhang, Yiwen Lu, Xuedi Han, Yichen Liu, Shengnan Guo, Youfang Lin, Huaiyu Wan

Drawing inspiration from the exceptional semantic understanding and contextual information processing capabilities of large language models (LLMs) across various domains, we present Mobility-LLM, a novel framework that leverages LLMs to analyze check-in sequences for multiple tasks.

PTR: A Pre-trained Language Model for Trajectory Recovery

no code implementations18 Oct 2024 Tonglong Wei, Yan Lin, Youfang Lin, Shengnan Guo, Jilin Hu, Gao Cong, Huaiyu Wan

PTR incorporates an explicit trajectory prompt and is trained on datasets with multiple sampling intervals, enabling it to generalize effectively across different intervals in sparse trajectories.

Language Modeling Language Modelling +1

DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation

1 code implementation23 Aug 2024 Xiaowei Mao, Yan Lin, Shengnan Guo, Yubin Chen, Xingyu Xian, Haomin Wen, Qisen Xu, Youfang Lin, Huaiyu Wan

This involves two main challenges: 1) Predicting a path that aligns with the ground truth, and 2) modeling the impact of travel time in each segment on overall uncertainty under varying conditions.

Deep Reinforcement Learning Travel Time Estimation +1

TrajFM: A Vehicle Trajectory Foundation Model for Region and Task Transferability

no code implementations9 Aug 2024 Yan Lin, Tonglong Wei, Zeyu Zhou, Haomin Wen, Jilin Hu, Shengnan Guo, Youfang Lin, Huaiyu Wan

A desirable trajectory learning model should transfer between different regions and tasks without retraining, thus improving computational efficiency and effectiveness with limited training data.

Computational Efficiency

PTrajM: Efficient and Semantic-rich Trajectory Learning with Pretrained Trajectory-Mamba

no code implementations9 Aug 2024 Yan Lin, Yichen Liu, Zeyu Zhou, Haomin Wen, Erwen Zheng, Shengnan Guo, Youfang Lin, Huaiyu Wan

To better utilize vehicle trajectories, it is essential to develop a trajectory learning approach that can effectively and efficiently extract rich semantic information, including movement behavior and travel purposes, to support accurate downstream applications.

Mamba

Spatial-Temporal Cross-View Contrastive Pre-training for Check-in Sequence Representation Learning

1 code implementation22 Jul 2024 Letian Gong, Huaiyu Wan, Shengnan Guo, Xiucheng Li, Yan Lin, Erwen Zheng, Tianyi Wang, Zeyu Zhou, Youfang Lin

Specifically, STCCR addresses the above challenges by employing self-supervision from "spatial topic" and "temporal intention" views, facilitating effective fusion of spatial and temporal information at the semantic level.

Representation Learning

UniTE: A Survey and Unified Pipeline for Pre-training Spatiotemporal Trajectory Embeddings

1 code implementation17 Jul 2024 Yan Lin, Zeyu Zhou, Yicheng Liu, Haochen Lv, Haomin Wen, Tianyi Li, Yushuai Li, Christian S. Jensen, Shengnan Guo, Youfang Lin, Huaiyu Wan

Further, we present a unified and modular pipeline with publicly available underlying code, simplifying the process of constructing and evaluating methods for pre-training trajectory embeddings.

TrajCogn: Leveraging LLMs for Cognizing Movement Patterns and Travel Purposes from Trajectories

1 code implementation21 May 2024 Zeyu Zhou, Yan Lin, Haomin Wen, Qisen Xu, Shengnan Guo, Jilin Hu, Youfang Lin, Huaiyu Wan

Second, TrajCogn introduces a new trajectory prompt that integrates these patterns and purposes into LLMs, allowing the model to adapt to various tasks.

Micro-Macro Spatial-Temporal Graph-based Encoder-Decoder for Map-Constrained Trajectory Recovery

no code implementations29 Apr 2024 Tonglong Wei, Youfang Lin, Yan Lin, Shengnan Guo, Lan Zhang, Huaiyu Wan

Recovering intermediate missing GPS points in a sparse trajectory, while adhering to the constraints of the road network, could offer deep insights into users' moving behaviors in intelligent transportation systems.

Decoder Trajectory Recovery

OverleafCopilot: Empowering Academic Writing in Overleaf with Large Language Models

1 code implementation13 Mar 2024 Haomin Wen, Zhenjie Wei, Yan Lin, Jiyuan Wang, Yuxuan Liang, Huaiyu Wan

In this technical report, we explore the integration of LLMs and the popular academic writing tool, Overleaf, to enhance the efficiency and quality of academic writing.

Diff-RNTraj: A Structure-aware Diffusion Model for Road Network-constrained Trajectory Generation

1 code implementation12 Feb 2024 Tonglong Wei, Youfang Lin, Shengnan Guo, Yan Lin, Yiheng Huang, Chenyang Xiang, Yuqing Bai, Huaiyu Wan

In this paper, we propose a new problem to meet the practical application need, \emph{i. e.}, road network-constrained trajectory (RNTraj) generation, which can directly generate trajectories on the road network with road-related information.

Origin-Destination Travel Time Oracle for Map-based Services

no code implementations6 Jul 2023 Yan Lin, Huaiyu Wan, Jilin Hu, Shengnan Guo, Bin Yang, Youfang Lin, Christian S. Jensen

Given an origin (O), a destination (D), and a departure time (T), an Origin-Destination (OD) travel time oracle~(ODT-Oracle) returns an estimate of the time it takes to travel from O to D when departing at T. ODT-Oracles serve important purposes in map-based services.

Travel Time Estimation

Privacy-Preserving Joint Edge Association and Power Optimization for the Internet of Vehicles via Federated Multi-Agent Reinforcement Learning

no code implementations26 Jan 2023 Yan Lin, Jinming Bao, Yijin Zhang, Jun Li, Feng Shu, Lajos Hanzo

Proactive edge association is capable of improving wireless connectivity at the cost of increased handover (HO) frequency and energy consumption, while relying on a large amount of private information sharing required for decision making.

Decision Making Multi-agent Reinforcement Learning +1

Pre-training General Trajectory Embeddings with Maximum Multi-view Entropy Coding

no code implementations29 Jul 2022 Yan Lin, Huaiyu Wan, Shengnan Guo, Jilin Hu, Christian S. Jensen, Youfang Lin

Spatio-temporal trajectories provide valuable information about movement and travel behavior, enabling various downstream tasks that in turn power real-world applications.

Contrastive Learning Data Augmentation

Multi-RIS Aided 3D Secure Precise Wireless Transmission

no code implementations23 Nov 2020 Tong Shen, Wenlong Cai, Yan Lin, Shuo Zhang, Jinyong Lin, Feng Shu, Jiangzhou Wang

Then, multiple RISs are utilized to achieve SPWT through the reflection path among transmitter, RISs and receivers in order to enhance the communication performance and energy efficiency simultaneously.

Vehicle Tracking in Wireless Sensor Networks via Deep Reinforcement Learning

no code implementations22 Feb 2020 Jun Li, Zhichao Xing, Weibin Zhang, Yan Lin, Feng Shu

Vehicle tracking has become one of the key applications of wireless sensor networks (WSNs) in the fields of rescue, surveillance, traffic monitoring, etc.

Deep Reinforcement Learning reinforcement-learning +1

A novel tree-structured point cloud dataset for skeletonization algorithm evaluation

1 code implementation9 Jan 2020 Yan Lin, Ji Liu, Jianlin Zhou

Since the implicit surface is sufficiently expressive to retain the edges and details of the complex branches model, we use the implicit surface to model the triangular mesh.

Regional Robust Secure Precise Wireless Transmission Design for Multi-user UAV Broadcasting System

no code implementations9 Apr 2019 Tong Shen, Tingting Liu, Yan Lin, Yongpeng Wu, Feng Shu, Zhu Han

Proposed regional robust schemes are designed for optimizing the secrecy performance in the whole error region around the estimated location.

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