Yile Chen - RankMe

35 papers A* 8A 3Journal 21Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Bus-Conditioned Zero-Shot Trajectory Generation via Task Arithmetic. CoRR Shuai Liu, Ning Cao, Yile Chen, Yue Jiang, Gao Cong
2026	A*	`conf`	Cross-city Time Series Forecasting with Retrieval-Augmented Large Language Models. WWW Yue Jiang, Chenxi Liu, Yile Chen, Qin Chao, Shuai Liu, Cheng Long, Gao Cong
2025	J	`jnl`	Disentangling Dynamics: Advanced, Scalable and Explainable Imputation for Multivariate Time Series. IEEE Trans. Knowl. Data Eng. Shuai Liu, Xiucheng Li, Yile Chen, Yue Jiang, Gao Cong
2025	—	`conf`	Enhancing Large Language Models for Mobility Analytics with Semantic Location Tokenization. KDD (2) Yile Chen, Yicheng Tao, Yue Jiang, Shuai Liu, Han Yu, Gao Cong
2025	J	`jnl`	Enhancing Large Language Models for Mobility Analytics with Semantic Location Tokenization. CoRR Yile Chen, Yicheng Tao, Yue Jiang, Shuai Liu, Han Yu, Gao Cong
2025	A*	`conf`	FSTLLM: Spatio-Temporal LLM for Few Shot Time Series Forecasting. ICML Yue Jiang, Yile Chen, Xiucheng Li, Qin Chao, Shuai Liu, Gao Cong
2025	J	`jnl`	Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction. CoRR Shuai Liu, Ning Cao, Yile Chen, Yue Jiang, Gao Cong
2025	J	`jnl`	STRATA-TS: Selective Knowledge Transfer for Urban Time Series Forecasting with Retrieval-Guided Reasoning. CoRR Yue Jiang, Chenxi Liu, Yile Chen, Qin Chao, Shuai Liu, Gao Cong
2025	J	`jnl`	Self-supervised representation learning for geospatial objects: A survey. Inf. Fusion Yile Chen, Weiming Huang, Kaiqi Zhao, Yue Jiang, Gao Cong
2025	J	`jnl`	Semantic-Enhanced Representation Learning for Road Networks With Temporal Dynamics. IEEE Trans. Mob. Comput. Yile Chen, Xiucheng Li, Gao Cong, Zhifeng Bao, Cheng Long
2024	A*	`conf`	AdapTraj: A Multi-Source Domain Generalization Framework for Multi-Agent Trajectory Prediction. ICDE Tangwen Qian, Yile Chen, Gao Cong, Yongjun Xu, Fei Wang
2024	J	`jnl`	Context-Enhanced Multi-View Trajectory Representation Learning: Bridging the Gap through Self-Supervised Models. CoRR Tangwen Qian, Junhe Li, Yile Chen, Gao Cong, Tao Sun, Fei Wang, Yongjun Xu
2024	J	`jnl`	FlexTSF: A Universal Forecasting Model for Time Series with Variable Regularities. CoRR Jingge Xiao, Yile Chen, Gao Cong, Wolfgang Nejdl, Simon Gottschalk
2024	A*	`conf`	From Chaos to Clarity: Time Series Anomaly Detection in Astronomical Observations. ICDE Xinli Hao, Yile Chen, Chen Yang, Zhihui Du, Chaohong Ma, Chao Wu, Xiaofeng Meng
2024	J	`jnl`	From Chaos to Clarity: Time Series Anomaly Detection in Astronomical Observations. CoRR Xinli Hao, Yile Chen, Chen Yang, Zhihui Du, Chaohong Ma, Chao Wu, Xiaofeng Meng
2024	A*	`conf`	Road Network Representation Learning with the Third Law of Geography. NeurIPS Haicang Zhou, Weiming Huang, Yile Chen, Tiantian He, Gao Cong, Yew Soon Ong
2024	J	`jnl`	Road Network Representation Learning with the Third Law of Geography. CoRR Haicang Zhou, Weiming Huang, Yile Chen, Tiantian He, Gao Cong, Yew-Soon Ong
2024	A*	`conf`	SAGDFN: A Scalable Adaptive Graph Diffusion Forecasting Network for Multivariate Time Series Forecasting. ICDE Yue Jiang, Xiucheng Li, Yile Chen, Shuai Liu, Weilong Kong, Antonis F. Lentzakis, Gao Cong
2024	J	`jnl`	SAGDFN: A Scalable Adaptive Graph Diffusion Forecasting Network for Multivariate Time Series Forecasting. CoRR Yue Jiang, Xiucheng Li, Yile Chen, Shuai Liu, Weilong Kong, Antonis F. Lentzakis, Gao Cong
2024	J	`jnl`	Self-supervised Learning for Geospatial AI: A Survey. CoRR Yile Chen, Weiming Huang, Kaiqi Zhao, Yue Jiang, Gao Cong
2024	J	`jnl`	Semantic-Enhanced Representation Learning for Road Networks with Temporal Dynamics. CoRR Yile Chen, Xiucheng Li, Gao Cong, Zhifeng Bao, Cheng Long
2024	—	`conf`	UrbanLLM: Autonomous Urban Activity Planning and Management with Large Language Models. EMNLP (Findings) Yue Jiang, Qin Chao, Yile Chen, Xiucheng Li, Shuai Liu, Gao Cong
2024	J	`jnl`	UrbanLLM: Autonomous Urban Activity Planning and Management with Large Language Models. CoRR Yue Jiang, Qin Chao, Yile Chen, Xiucheng Li, Shuai Liu, Gao Cong
2024	J	`jnl`	nextlocllm: next location prediction using LLMs. CoRR Shuai Liu, Ning Cao, Yile Chen, Yue Jiang, Gao Cong
2023	J	`jnl`	AdapTraj: A Multi-Source Domain Generalization Framework for Multi-Agent Trajectory Prediction. CoRR Tangwen Qian, Yile Chen, Gao Cong, Yongjun Xu, Fei Wang
2023	J	`jnl`	Lemo: A Cache-Enhanced Learned Optimizer for Concurrent Queries. Proc. ACM Manag. Data Songsong Mo, Yile Chen, Hao Wang, Gao Cong, Zhifeng Bao
2023	A*	`conf`	Multivariate Time-series Imputation with Disentangled Temporal Representations. ICLR Shuai Liu, Xiucheng Li, Gao Cong, Yile Chen, Yue Jiang
2023	J	`jnl`	TERI: An Effective Framework for Trajectory Recovery with Irregular Time Intervals. Proc. VLDB Endow. Yile Chen, Gao Cong, Cuauhtemoc Anda
2022	J	`jnl`	Points-of-Interest Relationship Inference with Spatial-enriched Graph Neural Networks. CoRR Yile Chen, Xiucheng Li, Gao Cong, Cheng Long, Zhifeng Bao, Shang Liu, Wanli Gu, Fuzheng Zhang
2022	A	`conf`	The Datasets Dilemma: How Much Do We Really Know About Recommendation Datasets? WSDM Jin Yao Chin, Yile Chen, Gao Cong
2022	—	`—`	Towards better urban intelligence: representation learning techniques for geospatial data analytics Yile Chen
2021	J	`jnl`	Points-of-Interest Relationship Inference with Spatial-enriched Graph Neural Networks. Proc. VLDB Endow. Yile Chen, Xiucheng Li, Gao Cong, Cheng Long, Zhifeng Bao, Shang Liu, Wanli Gu, Fuzheng Zhang
2021	A	`conf`	Robust Road Network Representation Learning: When Traffic Patterns Meet Traveling Semantics. CIKM Yile Chen, Xiucheng Li, Gao Cong, Zhifeng Bao, Cheng Long, Yiding Liu, Arun Kumar Chandran, Richard Ellison
2021	A*	`conf`	Sinkhorn Collaborative Filtering. WWW Xiucheng Li, Jin Yao Chin, Yile Chen, Gao Cong
2020	A	`conf`	Context-aware Deep Model for Joint Mobility and Time Prediction. WSDM Yile Chen, Cheng Long, Gao Cong, Chenliang Li