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ORCIDYile Chen 0001
Person information
- affiliation (PhD 2022): Nanyang Technological University, School of Computer Science and Engineering, Singapore
Other persons with the same name
- Yile Chen 0002 — Texas A&M University, Department of Computer Science and Engineering, College Station, TX, USA
- Yile Chen 0003
![[0000-0002-8424-8059]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-8424-8059")
— Macau University of Science and Technology, Taipa, Macau - Yile Chen 0004 — Hong Kong University of Science and Technology, Guangzhou, China (and 1 more)
- Yile Chen 0005 — Hohai University, Dayu College, Nanjing, China
- Yile Chen 0006 — University of Washington Seattle, Department of Biomedical Informatics and Medical Education, WA, USA
- Yile Chen 0007 — East China Normal University, Department of Cryptography and Network Security, Shanghai, China
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2020 – today
- 2026
[c14]Yue Jiang, Chenxi Liu, Yile Chen, Qin Chao, Shuai Liu, Cheng Long, Gao Cong:
Cross-city Time Series Forecasting with Retrieval-Augmented Large Language Models. WWW 2026: 4962-4973- [i15]Shuai Liu, Ning Cao, Yile Chen, Yue Jiang, Gao Cong:
Bus-Conditioned Zero-Shot Trajectory Generation via Task Arithmetic. CoRR abs/2602.13071 (2026) - 2025
- [j6]Yile Chen, Weiming Huang, Kaiqi Zhao, Yue Jiang, Gao Cong:
Self-supervised representation learning for geospatial objects: A survey. Inf. Fusion 123: 103265 (2025) - [j5]Shuai Liu, Xiucheng Li, Yile Chen, Yue Jiang, Gao Cong:
Disentangling Dynamics: Advanced, Scalable and Explainable Imputation for Multivariate Time Series. IEEE Trans. Knowl. Data Eng. 37(7): 4010-4022 (2025) - [j4]Yile Chen, Xiucheng Li, Gao Cong, Zhifeng Bao, Cheng Long:
Semantic-Enhanced Representation Learning for Road Networks With Temporal Dynamics. IEEE Trans. Mob. Comput. 24(10): 9413-9427 (2025) - [c13]Yue Jiang, Yile Chen, Xiucheng Li, Qin Chao, Shuai Liu, Gao Cong:
FSTLLM: Spatio-Temporal LLM for Few Shot Time Series Forecasting. ICML 2025 - [c12]Yile Chen, Yicheng Tao, Yue Jiang, Shuai Liu, Han Yu, Gao Cong:
Enhancing Large Language Models for Mobility Analytics with Semantic Location Tokenization. KDD (2) 2025: 262-273 - [c11]Tangwen Qian, Junhe Li, Yile Chen, Gao Cong, Zezhi Shao, Jun Zhang, Tao Sun, Fei Wang, Yongjun Xu:
SMARTraj2: A Stable Multi-City Adaptive Method for Multi-View Spatio-Temporal Trajectory Representation Learning. NeurIPS 2025 - [i14]Shuai Liu, Ning Cao, Yile Chen, Yue Jiang, Gao Cong:
Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction. CoRR abs/2505.24597 (2025) - [i13]Yile Chen, Yicheng Tao, Yue Jiang, Shuai Liu, Han Yu, Gao Cong:
Enhancing Large Language Models for Mobility Analytics with Semantic Location Tokenization. CoRR abs/2506.11109 (2025) - [i12]Yue Jiang, Chenxi Liu, Yile Chen, Qin Chao, Shuai Liu, Gao Cong:
STRATA-TS: Selective Knowledge Transfer for Urban Time Series Forecasting with Retrieval-Guided Reasoning. CoRR abs/2508.18635 (2025) - 2024
- [c10]Yue Jiang, Qin Chao, Yile Chen, Xiucheng Li, Shuai Liu, Gao Cong:
UrbanLLM: Autonomous Urban Activity Planning and Management with Large Language Models. EMNLP (Findings) 2024: 1810-1825 - [c9]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: 570-583 - [c8]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: 1255-1268 - [c7]Tangwen Qian, Yile Chen, Gao Cong, Yongjun Xu, Fei Wang:
AdapTraj: A Multi-Source Domain Generalization Framework for Multi-Agent Trajectory Prediction. ICDE 2024: 5048-5060 - [c6]Haicang Zhou, Weiming Huang, Yile Chen, Tiantian He, Gao Cong, Yew Soon Ong:
Road Network Representation Learning with the Third Law of Geography. NeurIPS 2024 - [i11]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 abs/2403.10220 (2024) - [i10]Yile Chen, Xiucheng Li, Gao Cong, Zhifeng Bao, Cheng Long:
Semantic-Enhanced Representation Learning for Road Networks with Temporal Dynamics. CoRR abs/2403.11495 (2024) - [i9]Haicang Zhou, Weiming Huang, Yile Chen, Tiantian He, Gao Cong, Yew-Soon Ong:
Road Network Representation Learning with the Third Law of Geography. CoRR abs/2406.04038 (2024) - [i8]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 abs/2406.12282 (2024) - [i7]Yue Jiang, Qin Chao, Yile Chen, Xiucheng Li, Shuai Liu, Gao Cong:
UrbanLLM: Autonomous Urban Activity Planning and Management with Large Language Models. CoRR abs/2406.12360 (2024) - [i6]Yile Chen, Weiming Huang, Kaiqi Zhao, Yue Jiang, Gao Cong:
Self-supervised Learning for Geospatial AI: A Survey. CoRR abs/2408.12133 (2024) - [i5]Shuai Liu, Ning Cao, Yile Chen, Yue Jiang, Gao Cong:
nextlocllm: next location prediction using LLMs. CoRR abs/2410.09129 (2024) - [i4]Tangwen Qian, Junhe Li, Yile Chen, Gao Cong, Tao Sun, Fei Wang, Yongjun Xu:
Context-Enhanced Multi-View Trajectory Representation Learning: Bridging the Gap through Self-Supervised Models. CoRR abs/2410.13196 (2024) - [i3]Jingge Xiao, Yile Chen, Gao Cong, Wolfgang Nejdl, Simon Gottschalk:
FlexTSF: A Universal Forecasting Model for Time Series with Variable Regularities. CoRR abs/2410.23160 (2024) - 2023
- [j3]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): 247:1-247:26 (2023) - [j2]Yile Chen, Gao Cong, Cuauhtemoc Anda:
TERI: An Effective Framework for Trajectory Recovery with Irregular Time Intervals. Proc. VLDB Endow. 17(3): 414-426 (2023) - [c5]Shuai Liu, Xiucheng Li, Gao Cong, Yile Chen, Yue Jiang:
Multivariate Time-series Imputation with Disentangled Temporal Representations. ICLR 2023 - [i2]Tangwen Qian, Yile Chen, Gao Cong, Yongjun Xu, Fei Wang:
AdapTraj: A Multi-Source Domain Generalization Framework for Multi-Agent Trajectory Prediction. CoRR abs/2312.14394 (2023) - 2022
- [b1]Yile Chen:
Towards better urban intelligence: representation learning techniques for geospatial data analytics. Nanyang Technological University, Singapore, 2022 - [c4]Jin Yao Chin, Yile Chen, Gao Cong:
The Datasets Dilemma: How Much Do We Really Know About Recommendation Datasets? WSDM 2022: 141-149 - [i1]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 abs/2202.13686 (2022) - 2021
- [j1]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): 504-512 (2021) - [c3]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: 211-220 - [c2]Xiucheng Li, Jin Yao Chin, Yile Chen, Gao Cong:
Sinkhorn Collaborative Filtering. WWW 2021: 582-592 - 2020
- [c1]Yile Chen, Cheng Long, Gao Cong, Chenliang Li:
Context-aware Deep Model for Joint Mobility and Time Prediction. WSDM 2020: 106-114
Coauthor Index
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