Hi, this is Shuai Liu (刘帅）, a last-year PhD student at Nanyang Technological University (NTU) in Singapore. I am under the supervision of Professor Cong Gao. My research focus is on spatial-temporal data mining, artificial intelligence, and machine learning. Before joining NTU, I completed my Bachelor of Science degree in computer science at Peking University in China, under the guidance of Professor Guojie Song.
📝 Publications
A Survey of Large Language Models for Traffic Forecasting: Methods and Applications
Qingqing Long, Shuai Liu, Ning Cao, Zhicheng Ren, Xiao Luo, Wei Ju, Chen Fang, Zhihong Zhu, Hengshu Zhu, Yuanchun Zhou
IEEE Transactions on Big Data, 2026
Bus-Conditioned Zero-Shot Trajectory Generation via Task Arithmetic
Shuai Liu, Ning Cao, Yile Chen, Yue Jiang, Gao Cong
arXiv preprint arXiv:2602.13071, 2026
FSTLLM: Spatio-Temporal LLM for Few-Shot Time Series Forecasting
Yue Jiang, Yile Chen, Xiucheng Li, Qin Chao, Shuai Liu, Gao Cong
The 42nd International Conference on Machine Learning (ICML), 2025
STRATA-TS: Selective Knowledge Transfer for Urban Time Series Forecasting with Retrieval-Guided Reasoning
Yue Jiang, Chenxi Liu, Yile Chen, Qin Chao, Shuai Liu, Cheng Long, Gao Cong
arXiv preprint arXiv:2508.18635, 2025
Enhancing Large Language Models for Mobility Analytics with Semantic Location Tokenization
Yile Chen, Yicheng Tao, Yue Jiang, Shuai Liu, Han Yu, Gao Cong
The 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2025
Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction
Shuai Liu, Ning Cao, Yile Chen, Yue Jiang, Gao Cong
arXiv preprint arXiv:2505.24597, 2025
Disentangling Dynamics: Advanced, Scalable and Explainable Imputation for Multivariate Time Series
Shuai Liu, Xiucheng Li, Yile Chen, Yue Jiang, Gao Cong
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2025
UrbanLLM: Autonomous Urban Activity Planning and Management with Large Language Models
Yue Jiang, Qin Chao, Yile Chen, Xiucheng Li, Shuai Liu, Gao Cong
Findings of the Association for Computational Linguistics: EMNLP, 2024
Personalized and On-Device Trajectory Mobility Prediction
Cuauhtemoc Anda, Ning Cao, Shuai Liu, Shaowei Ying, Gao Cong
The 2nd ACM SIGSPATIAL International Workshop on Human Mobility Prediction Challenge, 2024 (6th Place Worldwide)
NextLocLLM: Location Semantics Modeling and Coordinate-Based Next Location Prediction with LLMs
Shuai Liu, Ning Cao, Yile Chen, Yue Jiang, George Rosario Jagadeesh, Gao Cong
The International Workshop on Spatio-Temporal Data Intelligence and Foundation Models, CIKM 2025
NextLocLLM: Next Location Prediction Using LLMs
Shuai Liu, Ning Cao, Yile Chen, Yue Jiang, Gao Cong
Preprint, 2024
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
IEEE 40th International Conference on Data Engineering (ICDE), 2024
Multivariate Time-Series Imputation with Disentangled Temporal Representations
Shuai Liu, Xiucheng Li, Gao Cong, Yile Chen, Yue Jiang
The 11th International Conference on Learning Representations (ICLR), 2023
Real-Time Transportation Prediction Correction Using Reconstruction Error in Deep Learning
Shuai Liu, Guojie Song, Wenhao Huang
ACM Transactions on Knowledge Discovery from Data (TKDD), 2020
高科西路浦东南路路口交通优化设计
刘帅
上海市青少年人文社会科学论文竞赛一等奖, 2016
🎖 Honors and Awards
1, 1st prize, Humanity, social & science innovation paper competition in the teen-group of Shanghai, 2016
2, Outstanding student of the junior league school in PKU, 2017
3, Outstanding student leader of EECS, PKU, 2018
4, Outstanding student leader of PKU, 2018
5, 1st prize, Data Analysis Knowledge Contest for Chinese Univeristy Students, 2022
6, Sophisticated student leader, Deecamp 2022, 2022
7, Prompt Engineer, assessed by Datawhale & iFLYTEK SPARK, 2024
📖 Educations
Nanyang Technological University, SCSE, PHD (2021.07~present)
Peking University,EECS, undergraduate student (2016.09-2020.06)
Shanghai Experimental school, middle school student (2010.09~2016.06)
Shanghai Experimental school, elementary school student (2006.09~2010.06)
💻 Internships
Deecamp 2022, virtual activity, group leader (2022.06-2022.08)
Baidu, BIL, research assistant (2020.08-2021.07)
USC, Melady lab, research assistant (2019.06-2019.09)
※ Other Activities
1, Chair of Student Union in EECS, PKU, 2018
2, Group Member in Deecamp 2020 (AI for generating PRG games), 2020
3, Teaching Assistant for CZ 4032 Data Mining, NTU, 2021
4, Team Leader in Deecamp 2022 (AI in accurate spine segmentation), 2022
※ Reviewers
AAAI 2023, IJCAI 2023, KDD 2023, VLDB 2023, PAKDD 2023
CIKM 2024, Neurips 2024, ICDE 2024
ICLR 2025, AISTATS 2025, ACL 2025, ICML 2025, IJCAI 2025, KDD 2025, KBS 2025, ASOC 2025, Neurips 2025
AAAI 2026, AISTATS 2026, ICML 2026 (Silver Reviewer), KDD 2026, NeurIPS 2026, CIKM 2026, Transactions on Social Computing 2026 (external), Data Science and Engineering 2026
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