Tong Nie - RankMe

30 papers A* 2A 1Journal 25Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ADV-0: Closed-Loop Min-Max Adversarial Training for Long-Tail Robustness in Autonomous Driving. CoRR Tong Nie, Yihong Tang, Junlin He, Yuewen Mei, Jie Sun, Lijun Sun, Wei Ma, Jian Sun
2026	J	`jnl`	Collaborative Imputation of Urban Time Series Through Cross-City Meta-Learning. IEEE Trans. Knowl. Data Eng. Tong Nie, Wei Ma, Jian Sun, Yu Yang, Jiannong Cao
2025	J	`jnl`	Collaborative Imputation of Urban Time Series through Cross-city Meta-learning. CoRR Tong Nie, Wei Ma, Jian Sun, Yu Yang, Jiannong Cao
2025	J	`jnl`	Contextualizing MLP-Mixers Spatiotemporally for Urban Traffic Data Forecast at Scale. IEEE Trans. Intell. Transp. Syst. Tong Nie, Guoyang Qin, Lijun Sun, Wei Ma, Yu Mei, Jian Sun
2025	J	`jnl`	E3AD: An Emotion-Aware Vision-Language-Action Model for Human-Centric End-to-End Autonomous Driving. CoRR Yihong Tang, Haicheng Liao, Tong Nie, Junlin He, Ao Qu, Kehua Chen, Wei Ma, Zhenning Li, Lijun Sun, Chengzhong Xu
2025	J	`jnl`	Exploring the Roles of Large Language Models in Reshaping Transportation Systems: A Survey, Framework, and Roadmap. CoRR Tong Nie, Jian Sun, Wei Ma
2025	A*	`conf`	Geolocation Representation from Large Language Models Are Generic Enhancers for Spatio-Temporal Learning. AAAI Junlin He, Tong Nie, Wei Ma
2025	J	`jnl`	LLM-Attacker: Enhancing Closed-Loop Adversarial Scenario Generation for Autonomous Driving With Large Language Models. IEEE Trans. Intell. Transp. Syst. Yuewen Mei, Tong Nie, Jian Sun, Ye Tian
2025	J	`jnl`	LLM-attacker: Enhancing Closed-loop Adversarial Scenario Generation for Autonomous Driving with Large Language Models. CoRR Yuewen Mei, Tong Nie, Jian Sun, Ye Tian
2025	J	`jnl`	Predicting Large-Scale Urban Network Dynamics With Energy-Informed Graph Neural Diffusion. IEEE Trans. Ind. Informatics Tong Nie, Jian Sun, Wei Ma
2025	J	`jnl`	Predicting Large-scale Urban Network Dynamics with Energy-informed Graph Neural Diffusion. CoRR Tong Nie, Jian Sun, Wei Ma
2025	—	`conf`	Seeking to Collide: Online Safety-Critical Scenario Generation for Autonomous Driving with Retrieval Augmented Large Language Models. ITSC Yuewen Mei, Tong Nie, Jian Sun, Ye Tian
2025	J	`jnl`	Seeking to Collide: Online Safety-Critical Scenario Generation for Autonomous Driving with Retrieval Augmented Large Language Models. CoRR Yuewen Mei, Tong Nie, Jian Sun, Ye Tian
2025	J	`jnl`	Steerable Adversarial Scenario Generation through Test-Time Preference Alignment. CoRR Tong Nie, Yuewen Mei, Yihong Tang, Junlin He, Jie Sun, Haotian Shi, Wei Ma, Jian Sun
2024	J	`jnl`	Bayesian Fault Injection Safety Testing for Highly Automated Vehicles With Uncertainty. IEEE Trans. Intell. Veh. Yuewen Mei, Tong Nie, Jian Sun, Ye Tian
2024	A	`conf`	Channel-Aware Low-Rank Adaptation in Time Series Forecasting. CIKM Tong Nie, Yuewen Mei, Guoyang Qin, Jian Sun, Wei Ma
2024	J	`jnl`	Channel-Aware Low-Rank Adaptation in Time Series Forecasting. CoRR Tong Nie, Yuewen Mei, Guoyang Qin, Jian Sun, Wei Ma
2024	J	`jnl`	Generalizable Implicit Neural Representation As a Universal Spatiotemporal Traffic Data Learner. CoRR Tong Nie, Guoyang Qin, Wei Ma, Jian Sun
2024	J	`jnl`	Geolocation Representation from Large Language Models are Generic Enhancers for Spatio-Temporal Learning. CoRR Junlin He, Tong Nie, Wei Ma
2024	—	`conf`	High-Dimensional Fault Tolerance Testing of Highly Automated Vehicles Based on Low-Rank Models. ITSC Yuewen Mei, Tong Nie, Jian Sun, Ye Tian
2024	J	`jnl`	High-Dimensional Fault Tolerance Testing of Highly Automated Vehicles Based on Low-Rank Models. CoRR Yuewen Mei, Tong Nie, Jian Sun, Ye Tian
2024	A*	`conf`	ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal Imputation. KDD Tong Nie, Guoyang Qin, Wei Ma, Yuewen Mei, Jian Sun
2024	J	`jnl`	Joint Estimation and Prediction of City-wide Delivery Demand: A Large Language Model Empowered Graph-based Learning Approach. CoRR Tong Nie, Junlin He, Yuewen Mei, Guoyang Qin, Guilong Li, Jian Sun, Wei Ma
2024	J	`jnl`	Spatiotemporal Implicit Neural Representation as a Generalized Traffic Data Learner. CoRR Tong Nie, Guoyang Qin, Wei Ma, Jian Sun
2023	J	`jnl`	ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal Imputation. CoRR Tong Nie, Guoyang Qin, Wei Ma, Yuewen Mei, Jian Sun
2023	J	`jnl`	Nexus sine qua non: Essentially Connected Networks for Traffic Forecasting. CoRR Tong Nie, Guoyang Qin, Yunpeng Wang, Jian Sun
2023	J	`jnl`	Towards better traffic volume estimation: Tackling both underdetermined and non-equilibrium problems via a correlation-adaptive graph convolution network. CoRR Tong Nie, Guoyang Qin, Yunpeng Wang, Jian Sun
2022	J	`jnl`	A Response-Type Road Anomaly Detection and Evaluation Method for Steady Driving of Automated Vehicles. IEEE Trans. Intell. Transp. Syst. Chenglong Liu, Tong Nie, Yuchuan Du, Jing Cao, Difei Wu, Feng Li
2022	J	`jnl`	Correlating sparse sensing for network-wide traffic speed estimation: An integrated graph tensor-based kriging approach. CoRR Tong Nie, Guoyang Qin, Yunpeng Wang, Jian Sun
2022	J	`jnl`	Truncated tensor Schatten p-norm based approach for spatiotemporal traffic data imputation with complicated missing patterns. CoRR Tong Nie, Guoyang Qin, Jian Sun