| 2026 | AAAI | A Better Start: Sensitivity-Aware Warm-Up for Robust and Efficient Fine-Tuning. | Yile Chen, Zeyi Wen, Jian Chen, Jin Huang |
| 2026 | WWW | Cross-city Time Series Forecasting with Retrieval-Augmented Large Language Models. | Yue Jiang, Chenxi Liu, Yile Chen, Qin Chao, Shuai Liu, Cheng Long, Gao Cong |
| 2025 | ICML | FSTLLM: Spatio-Temporal LLM for Few Shot Time Series Forecasting. | Yue Jiang, Yile Chen, Xiucheng Li, Qin Chao, Shuai Liu, Gao Cong |
| 2025 | KDD | Enhancing Large Language Models for Mobility Analytics with Semantic Location Tokenization. | Yile Chen, Yicheng Tao, Yue Jiang, Shuai Liu, Han Yu, Gao Cong |
| 2025 | KDD | Are Your Fairness Metrics Accurate? A Semi-Supervised Approach to Improving Fairness Estimates Under Sample Selection Bias. | M. Clara De Paolis Kaluza, Thulasi Tholeti, Yile Chen, Ricardo Baeza-Yates, Predrag Radivojac, Shantanu Jain |
| 2024 | EMNLP | UrbanLLM: Autonomous Urban Activity Planning and Management with Large Language Models. | Yue Jiang, Qin Chao, Yile Chen, Xiucheng Li, Shuai Liu, Gao Cong |
| 2024 | ICDE | Enhancing the Performance of Bandit-based Hyperparameter Optimization. | Yile Chen, Zeyi Wen, Jian Chen, Jin Huang |
| 2024 | ICDE | From Chaos to Clarity: Time Series Anomaly Detection in Astronomical Observations. | Xinli Hao, Yile Chen, Chen Yang, Zhihui Du, Chaohong Ma, Chao Wu, Xiaofeng Meng |
| 2024 | ICDE | SAGDFN: A Scalable Adaptive Graph Diffusion Forecasting Network for Multivariate Time Series Forecasting. | Yue Jiang, Xiucheng Li, Yile Chen, Shuai Liu, Weilong Kong, Antonis F. Lentzakis, Gao Cong |
| 2024 | ICDE | AdapTraj: A Multi-Source Domain Generalization Framework for Multi-Agent Trajectory Prediction. | Tangwen Qian, Yile Chen, Gao Cong, Yongjun Xu, Fei Wang |
| 2023 | ICLR | Multivariate Time-series Imputation with Disentangled Temporal Representations. | Shuai Liu, Xiucheng Li, Gao Cong, Yile Chen, Yue Jiang |
| 2022 | CIKM | Efficient Second-Order Optimization for Neural Networks with Kernel Machines. | Yawen Chen, Yile Chen, Jian Chen, Zeyi Wen, Jin Huang |
| 2022 | WSDM | The Datasets Dilemma: How Much Do We Really Know About Recommendation Datasets? | Jin Yao Chin, Yile Chen, Gao Cong |
| 2021 | AAAI | TODS: An Automated Time Series Outlier Detection System. | Kwei-Herng Lai, Daochen Zha, Guanchu Wang, Junjie Xu, Yue Zhao, Devesh Kumar, Yile Chen, Purav Zumkhawaka, Minyang Wan, Diego Martinez, Xia Ben Hu |
| 2021 | CIKM | Robust Road Network Representation Learning: When Traffic Patterns Meet Traveling Semantics. | Yile Chen, Xiucheng Li, Gao Cong, Zhifeng Bao, Cheng Long, Yiding Liu, Arun Kumar Chandran, Richard Ellison |
| 2021 | WWW | Sinkhorn Collaborative Filtering. | Xiucheng Li, Jin Yao Chin, Yile Chen, Gao Cong |
| 2020 | WSDM | Context-aware Deep Model for Joint Mobility and Time Prediction. | Yile Chen, Cheng Long, Gao Cong, Chenliang Li |