Tong Nie

According to our database, Tong Nie authored at least 20 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Steerable Adversarial Scenario Generation through Test-Time Preference Alignment.

Tong Nie, Yuewen Mei, Yihong Tang, Junlin He, Jie Sun, Haotian Shi, Wei Ma, Jian Sun

CoRR, September, 2025

Predicting Large-scale Urban Network Dynamics with Energy-informed Graph Neural Diffusion.

Tong Nie, Jian Sun, Wei Ma

CoRR, August, 2025

Seeking to Collide: Online Safety-Critical Scenario Generation for Autonomous Driving with Retrieval Augmented Large Language Models.

Yuewen Mei, Tong Nie, Jian Sun, Ye Tian

CoRR, May, 2025

Exploring the Roles of Large Language Models in Reshaping Transportation Systems: A Survey, Framework, and Roadmap.

Tong Nie, Jian Sun, Wei Ma

CoRR, March, 2025

Contextualizing MLP-Mixers Spatiotemporally for Urban Traffic Data Forecast at Scale.

Tong Nie, Guoyang Qin, Lijun Sun, Wei Ma, Yu Mei, Jian Sun

IEEE Trans. Intell. Transp. Syst., January, 2025

LLM-attacker: Enhancing Closed-loop Adversarial Scenario Generation for Autonomous Driving with Large Language Models.

Yuewen Mei, Tong Nie, Jian Sun, Ye Tian

CoRR, January, 2025

Collaborative Imputation of Urban Time Series through Cross-city Meta-learning.

Tong Nie, Wei Ma, Jian Sun, Yu Yang, Jiannong Cao

CoRR, January, 2025

Geolocation Representation from Large Language Models Are Generic Enhancers for Spatio-Temporal Learning.

Junlin He, Tong Nie, Wei Ma

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Bayesian Fault Injection Safety Testing for Highly Automated Vehicles With Uncertainty.

Yuewen Mei, Tong Nie, Jian Sun, Ye Tian

IEEE Trans. Intell. Veh., December, 2024

Joint Estimation and Prediction of City-wide Delivery Demand: A Large Language Model Empowered Graph-based Learning Approach.

Tong Nie, Junlin He, Yuewen Mei, Guoyang Qin, Guilong Li, Jian Sun, Wei Ma

CoRR, 2024

Generalizable Implicit Neural Representation As a Universal Spatiotemporal Traffic Data Learner.

Tong Nie, Guoyang Qin, Wei Ma, Jian Sun

CoRR, 2024

Spatiotemporal Implicit Neural Representation as a Generalized Traffic Data Learner.

Tong Nie, Guoyang Qin, Wei Ma, Jian Sun

CoRR, 2024

ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal Imputation.

Tong Nie, Guoyang Qin, Wei Ma, Yuewen Mei, Jian Sun

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

High-Dimensional Fault Tolerance Testing of Highly Automated Vehicles Based on Low-Rank Models.

Yuewen Mei, Tong Nie, Jian Sun, Ye Tian

Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

Channel-Aware Low-Rank Adaptation in Time Series Forecasting.

Tong Nie, Yuewen Mei, Guoyang Qin, Jian Sun, Wei Ma

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Nexus sine qua non: Essentially Connected Networks for Traffic Forecasting.

Tong Nie, Guoyang Qin, Yunpeng Wang, Jian Sun

CoRR, 2023

Towards better traffic volume estimation: Tackling both underdetermined and non-equilibrium problems via a correlation-adaptive graph convolution network.

Tong Nie, Guoyang Qin, Yunpeng Wang, Jian Sun

CoRR, 2023

2022

A Response-Type Road Anomaly Detection and Evaluation Method for Steady Driving of Automated Vehicles.

Chenglong Liu, Tong Nie, Yuchuan Du, Jing Cao, Difei Wu, Feng Li

IEEE Trans. Intell. Transp. Syst., 2022

Correlating sparse sensing for network-wide traffic speed estimation: An integrated graph tensor-based kriging approach.

Tong Nie, Guoyang Qin, Yunpeng Wang, Jian Sun

CoRR, 2022

Truncated tensor Schatten p-norm based approach for spatiotemporal traffic data imputation with complicated missing patterns.

Tong Nie, Guoyang Qin, Jian Sun

CoRR, 2022