Truncated tensor Schatten p-norm based approach for spatiotemporal traffic data imputation with complicated missing patterns. - Tong Nie 001; Guoyang Qin; Jian Sun 010 (CoRR, 2022)

Correlating sparse sensing for network-wide traffic speed estimation: An integrated graph tensor-based kriging approach. - Tong Nie 001; Guoyang Qin; Yunpeng Wang; Jian Sun 010 (CoRR, 2022)

A Response-Type Road Anomaly Detection and Evaluation Method for Steady Driving of Automated Vehicles. - Chenglong Liu; Tong Nie 001; Yuchuan Du; Jing Cao; Difei Wu; Feng Li 044 (IEEE Trans. Intell. Transp. Syst., 2022)

Towards better traffic volume estimation: Tackling both underdetermined and non-equilibrium problems via a correlation-adaptive graph convolution network. - Tong Nie 001; Guoyang Qin; Yunpeng Wang; Jian Sun 010 (CoRR, 2023)

Nexus sine qua non: Essentially Connected Networks for Traffic Forecasting. - Tong Nie 001; Guoyang Qin; Yunpeng Wang; Jian Sun 010 (CoRR, 2023)

Channel-Aware Low-Rank Adaptation in Time Series Forecasting. - Tong Nie 001; Yuewen Mei; Guoyang Qin; Jian Sun 010; Wei Ma (CIKM, 2024)

High-Dimensional Fault Tolerance Testing of Highly Automated Vehicles Based on Low-Rank Models. - Yuewen Mei; Tong Nie 001; Jian Sun 010; Ye Tian 002 (ITSC, 2024)

ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal Imputation. - Tong Nie 001; Guoyang Qin; Wei Ma; Yuewen Mei; Jian Sun 010 (KDD, 2024)

Spatiotemporal Implicit Neural Representation as a Generalized Traffic Data Learner. - Tong Nie 001; Guoyang Qin; Wei Ma; Jian Sun 010 (CoRR, 2024)

Generalizable Implicit Neural Representation As a Universal Spatiotemporal Traffic Data Learner. - Tong Nie 001; Guoyang Qin; Wei Ma; Jian Sun 010 (CoRR, 2024)

Joint Estimation and Prediction of City-wide Delivery Demand: A Large Language Model Empowered Graph-based Learning Approach. - Tong Nie 001; Junlin He; Yuewen Mei; Guoyang Qin; Guilong Li; Jian Sun 010; Wei Ma (CoRR, 2024)

Bayesian Fault Injection Safety Testing for Highly Automated Vehicles With Uncertainty. - Yuewen Mei; Tong Nie 001; Jian Sun 010; Ye Tian 002 (IEEE Trans. Intell. Veh., 2024)

Geolocation Representation from Large Language Models Are Generic Enhancers for Spatio-Temporal Learning. - Junlin He; Tong Nie 001; Wei Ma (AAAI, 2025)

Collaborative Imputation of Urban Time Series through Cross-city Meta-learning. - Tong Nie 001; Wei Ma; Jian Sun 010; Yu Yang 012; Jiannong Cao 001 (CoRR, 2025)

LLM-attacker: Enhancing Closed-loop Adversarial Scenario Generation for Autonomous Driving with Large Language Models. - Yuewen Mei; Tong Nie 001; Jian Sun 010; Ye Tian 002 (CoRR, 2025)

Contextualizing MLP-Mixers Spatiotemporally for Urban Traffic Data Forecast at Scale. - Tong Nie 001; Guoyang Qin; Lijun Sun 001; Wei Ma; Yu Mei; Jian Sun 010 (IEEE Trans. Intell. Transp. Syst., 2025)

Exploring the Roles of Large Language Models in Reshaping Transportation Systems: A Survey, Framework, and Roadmap. - Tong Nie 001; Jian Sun 010; Wei Ma (CoRR, 2025)

Seeking to Collide: Online Safety-Critical Scenario Generation for Autonomous Driving with Retrieval Augmented Large Language Models. - Yuewen Mei; Tong Nie 001; Jian Sun 010; Ye Tian 002 (CoRR, 2025)

Predicting Large-scale Urban Network Dynamics with Energy-informed Graph Neural Diffusion. - Tong Nie 001; Jian Sun 010; Wei Ma (CoRR, 2025)

Steerable Adversarial Scenario Generation through Test-Time Preference Alignment. - Tong Nie 001; Yuewen Mei; Yihong Tang; Junlin He; Jie Sun; Haotian Shi; Wei Ma; Jian Sun 010 (CoRR, 2025)