Yile Chen

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 26

Top Topics

Outlier Detection

Collaborative Filtering

Top Venues

Proc. VLDB Endow.

Publications

Haicang Zhou, Weiming Huang, Yile Chen, Tiantian He, Gao Cong, Yew-Soon Ong
Road Network Representation Learning with the Third Law of Geography. CoRR (2024)
Yue Jiang, Qin Chao, Yile Chen, Xiucheng Li, Shuai Liu, Gao Cong
UrbanLLM: Autonomous Urban Activity Planning and Management with Large Language Models. CoRR (2024)
Yile Chen, Zeyi Wen, Jian Chen, Jin Huang
Enhancing the Performance of Bandit-based Hyperparameter Optimization. ICDE (2024)
Tangwen Qian, Yile Chen, Gao Cong, Yongjun Xu, Fei Wang
AdapTraj: A Multi-Source Domain Generalization Framework for Multi-Agent Trajectory Prediction. ICDE (2024)
Yue Jiang, Xiucheng Li, Yile Chen, Shuai Liu, Weilong Kong, Antonis F. Lentzakis, Gao Cong
SAGDFN: A Scalable Adaptive Graph Diffusion Forecasting Network for Multivariate Time Series Forecasting. CoRR (2024)
Yue Jiang, Xiucheng Li, Yile Chen, Shuai Liu, Weilong Kong, Antonis F. Lentzakis, Gao Cong
SAGDFN: A Scalable Adaptive Graph Diffusion Forecasting Network for Multivariate Time Series Forecasting. ICDE (2024)
Yaqian Li, Yile Chen, Qi Cai, Liujun Zhu
Calculation of CO2 Emissions from China at Regional Scales Using Remote Sensing Data. Remote. Sens. 16 (3) (2024)
Yanyu Li, Huanhuan Chen, Jingyi Mao, Yile Chen, Liang Zheng, Junjie Yu, Lina Yan, Lulu He
Artificial Intelligence to Facilitate the Conceptual Stage of Interior Space Design: Conditional Generative Adversarial Network-Supported Long-Term Care Space Floor Plan Design of Retirement Home Buildings. Appl. Artif. Intell. 38 (1) (2024)
Xinli Hao, Yile Chen, Chen Yang, Zhihui Du, Chaohong Ma, Chao Wu, Xiaofeng Meng
From Chaos to Clarity: Time Series Anomaly Detection in Astronomical Observations. ICDE (2024)
Yile Chen, Xiucheng Li, Gao Cong, Zhifeng Bao, Cheng Long
Semantic-Enhanced Representation Learning for Road Networks with Temporal Dynamics. CoRR (2024)
Xinli Hao, Yile Chen, Chen Yang, Zhihui Du, Chaohong Ma, Chao Wu, Xiaofeng Meng
From Chaos to Clarity: Time Series Anomaly Detection in Astronomical Observations. CoRR (2024)
Liang Zheng, Yile Chen, Shan Jiang, Junxin Song, Jianyi Zheng
Predicting the distribution of COVID-19 through CGAN - Taking Macau as an example. Frontiers Big Data 6 (2023)
Songsong Mo, Yile Chen, Hao Wang, Gao Cong, Zhifeng Bao
Lemo: A Cache-Enhanced Learned Optimizer for Concurrent Queries. Proc. ACM Manag. Data 1 (4) (2023)
Yile Chen, Gao Cong, Cuauhtemoc Anda
TERI: An Effective Framework for Trajectory Recovery with Irregular Time Intervals. Proc. VLDB Endow. 17 (3) (2023)
Tangwen Qian, Yile Chen, Gao Cong, Yongjun Xu, Fei Wang
AdapTraj: A Multi-Source Domain Generalization Framework for Multi-Agent Trajectory Prediction. CoRR (2023)
Shuai Liu, Xiucheng Li, Gao Cong, Yile Chen, Yue Jiang
Multivariate Time-series Imputation with Disentangled Temporal Representations. ICLR (2023)
Yile Chen, Xiucheng Li, Gao Cong, Cheng Long, Zhifeng Bao, Shang Liu, Wanli Gu, Fuzheng Zhang
Points-of-Interest Relationship Inference with Spatial-enriched Graph Neural Networks. CoRR (2022)
Jin Yao Chin, Yile Chen, Gao Cong
The Datasets Dilemma: How Much Do We Really Know About Recommendation Datasets? WSDM (2022)
Liang Zheng, Yile Chen
Research on the Spatial Characteristics of High-Density Urban Road Network and Functional Agglomeration Taking the Northern Part of Macau as an Example. SpatialDI (2022)
Yawen Chen, Yile Chen, Jian Chen, Zeyi Wen, Jin Huang
Efficient Second-Order Optimization for Neural Networks with Kernel Machines. CIKM (2022)
Xiucheng Li, Jin Yao Chin, Yile Chen, Gao Cong
Sinkhorn Collaborative Filtering. WWW (2021)
Yile Chen, Xiucheng Li, Gao Cong, Cheng Long, Zhifeng Bao, Shang Liu, Wanli Gu, Fuzheng Zhang
Points-of-Interest Relationship Inference with Spatial-enriched Graph Neural Networks. Proc. VLDB Endow. 15 (3) (2021)
Yile Chen, Xiucheng Li, Gao Cong, Zhifeng Bao, Cheng Long, Yiding Liu, Arun Kumar Chandran, Richard Ellison
Robust Road Network Representation Learning: When Traffic Patterns Meet Traveling Semantics. CIKM (2021)
Kwei-Herng Lai, Daochen Zha, Guanchu Wang, Junjie Xu, Yue Zhao, Devesh Kumar, Yile Chen, Purav Zumkhawaka, Minyang Wan, Diego Martinez, Xia Hu
TODS: An Automated Time Series Outlier Detection System. AAAI (2021)
Kwei-Herng Lai, Daochen Zha, Guanchu Wang, Junjie Xu, Yue Zhao, Devesh Kumar, Yile Chen, Purav Zumkhawaka, Minyang Wan, Diego Martinez, Xia Hu
TODS: An Automated Time Series Outlier Detection System. CoRR (2020)
Yile Chen, Cheng Long, Gao Cong, Chenliang Li
Context-aware Deep Model for Joint Mobility and Time Prediction. WSDM (2020)