Tong Nie

According to our database, Tong Nie authored at least 26 papers between 2021 and 2026.

Collaborative distances:

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

2026

Multi-period prediction of residual lung lesions in COVID-19 survivors with multi-head temporal constrained network.

Xiaoyu Han, Linxia Wu, Xiangkai Wei, Feihong Wu, Siru Kang, Wei Xu, Shouzhang Hu, Ronghua Tian, Huangxuan Zhao, Guangyao Wu, Lei Chen, Jia Huang, Wenlong Wu, Yaowei Bai, Bo Sun, Tao Sun, Yuxi Gui, Tong Nie, Lijie Zhang, Yuting Zheng, Leqing Chen, Hanting Li, Qinyue Luo, Yanqing Fan, Lian Yang, Dinggang Shen, Heshui Shi, Wei Tan, Fan Yang, Jie-Zhi Cheng, Chuansheng Zheng

Inf. Fusion, 2026

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

Point cloud semantic segmentation based on local feature fusion and multilayer attention network.

Junjie Wen, Jie Ma, Yuehua Zhao, Tong Nie, Mengxuan Sun, Ziming Fan

IET Comput. Vis., April, 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

Category-Level 6D Pose Estimation Using Geometry-Guided Instance-Aware Prior and Multi-Stage Reconstruction.

Tong Nie, Jie Ma, Yuehua Zhao, Ziming Fan, Junjie Wen, Mengxuan Sun

IEEE Robotics Autom. Lett., April, 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

A Voice Disguise Communication System Based on Real-Time Voice Conversion.

Yang Li, Tong Nie, Tian Yang, Ze Zhu, Yingying Xu, Shengnan Zhang, Yucheng Shao, Yusheng Jiang

Proceedings of the 8th International Conference on Computer and Communication Systems, 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

A Real-Time Voice Conversion Method Based on A Non-Parallel Corpus for Training.

Yang Li, Tong Nie, Yucheng Shao, Zesheng Zhu, Tian Yang, Shengnan Zhang, Ze Zhu, Fang Zhang

Proceedings of the 11th International Conference on Networks, Communication and Computing, 2022

2021

Spatio-Temporal Changes and Driving Forces of Vegetation Coverage on the Loess Plateau of Northern Shaanxi.

Tong Nie, Guotao Dong, Xiaohui Jiang, Yuxin Lei

Remote. Sens., 2021

Quantification of Natural and Anthropogenic Driving Forces of Vegetation Changes in the Three-River Headwater Region during 1982-2015 Based on Geographical Detector Model.

Siqi Gao, Guotao Dong, Xiaohui Jiang, Tong Nie, Huijuan Yin, Xinwei Guo

Remote. Sens., 2021