Imputation Methods Used in Missing Traffic Data: A Literature Review. - Pan Wu 003; Lunhui Xu; Zilin Huang (ISICA, 2019)

Multi-Stage Pedestrian Positioning Using Filtered WiFi Scanner Data in an Urban Road Environment. - Zilin Huang; Lunhui Xu; Yongjie Lin (Sensors, 2020)

Deep spatial-temporal bi-directional residual optimisation based on tensor decomposition for traffic data imputation on urban road network. - Jinlong Li; Lunhui Xu; Ruonan Li; Pan Wu 003; Zilin Huang (Appl. Intell., 2022)

ST-CRMF: Compensated Residual Matrix Factorization with Spatial-Temporal Regularization for Graph-Based Time Series Forecasting. - Jinlong Li; Pan Wu 003; Ruonan Li; Yuzhuang Pian; Zilin Huang; Lunhui Xu; Xiaochen Li (Sensors, 2022)

Understanding Avoidance Behaviors of Users for Conversational AI. - Siyuan Wu; Yatong Shu; Xinyue Yang; Zilin Huang; Xuzheng Zhang; Xiyin Chen; Guochao Peng (HCI (26), 2023)

EPG-MGCN: Ego-Planning Guided Multi-Graph Convolutional Network for Heterogeneous Agent Trajectory Prediction. - Zihao Sheng; Zilin Huang; Sikai Chen (CoRR, 2023)

CV2X-LOCA: Roadside Unit-Enabled Cooperative Localization Framework for Autonomous Vehicles. - Zilin Huang; Sikai Chen; Yuzhuang Pian; Zihao Sheng; Soyoung Ahn; David A. Noyce (CoRR, 2023)

Dynamic adaptive generative adversarial networks with multi-view temporal factorizations for hybrid recovery of missing traffic data. - Jinlong Li; Ruonan Li; Zilin Huang; Pan Wu 003; Lunhui Xu (Neural Comput. Appl., 2023)

TabSec: A Collaborative Framework for Novel Insider Threat Detection. - Zilin Huang; Xiangyan Tang; Hongyu Li; Xinyi Cao; Jieren Cheng; Wenxuan Tu; Logan Bo-Yee Liu (ISPA, 2024)

Human as AI Mentor: Enhanced Human-in-the-loop Reinforcement Learning for Safe and Efficient Autonomous Driving. - Zilin Huang; Zihao Sheng; Chengyuan Ma; Sikai Chen (CoRR, 2024)

V2X-VLM: End-to-End V2X Cooperative Autonomous Driving Through Large Vision-Language Models. - Junwei You; Haotian Shi; Zhuoyu Jiang; Zilin Huang; Rui Gan; Keshu Wu; Xi Cheng; Xiaopeng Li; Bin Ran (CoRR, 2024)

Traffic expertise meets residual RL: Knowledge-informed model-based residual reinforcement learning for CAV trajectory control. - Zihao Sheng; Zilin Huang; Sikai Chen (CoRR, 2024)

Trustworthy Human-AI Collaboration: Reinforcement Learning with Human Feedback and Physics Knowledge for Safe Autonomous Driving. - Zilin Huang; Zihao Sheng; Sikai Chen (CoRR, 2024)

TabSec: A Collaborative Framework for Novel Insider Threat Detection. - Zilin Huang; Xiangyan Tang; Hongyu Li; Xinyi Cao; Jieren Cheng (CoRR, 2024)

Towards 3D Semantic Scene Completion for Autonomous Driving: A Meta-Learning Framework Empowered by Deformable Large-Kernel Attention and Mamba Model. - Yansong Qu; Zilin Huang; Zihao Sheng; Tiantian Chen; Sikai Chen (CoRR, 2024)

FollowGen: A Scaled Noise Conditional Diffusion Model for Car-Following Trajectory Prediction. - Junwei You; Rui Gan; Weizhe Tang; Zilin Huang; Jiaxi Liu; Zhuoyu Jiang; Haotian Shi; Keshu Wu; Keke Long; Sicheng Fu; Sikai Chen; Bin Ran (CoRR, 2024)

VLM-RL: A Unified Vision Language Models and Reinforcement Learning Framework for Safe Autonomous Driving. - Zilin Huang; Zihao Sheng; Yansong Qu; Junwei You; Sikai Chen (CoRR, 2024)

Toward C-V2X Enabled Connected Transportation System: RSU-Based Cooperative Localization Framework for Autonomous Vehicles. - Zilin Huang; Sikai Chen; Yuzhuang Pian; Zihao Sheng; Soyoung Ahn; David A. Noyce (IEEE Trans. Intell. Transp. Syst., 2024)

Ego-planning-guided multi-graph convolutional network for heterogeneous agent trajectory prediction. - Zihao Sheng; Zilin Huang; Sikai Chen (Comput. Aided Civ. Infrastructure Eng., 2024)

Exploring Driving Behavior for Autonomous Vehicles Based on Gramian Angular Field Vision Transformer. - Junwei You; Ying Chen; Zhuoyu Jiang; Zhangchi Liu; Zilin Huang; Yifeng Ding; Bin Ran (IEEE Trans. Intell. Transp. Syst., 2024)

Talk2Traffic: Interactive and Editable Traffic Scenario Generation for Autonomous Driving with Multimodal Large Language Model. - Zihao Sheng; Zilin Huang; Yansong Qu; Yue Leng; Sikai Chen (CVPR Workshops, 2025)

Personalizing Driver Agent Using Large Language Models for Driving Safety and Smarter Human-Machine Interactions. - Zixuan Xu; Tiantian Chen; Zilin Huang; Yang Xing; Sikai Chen (IEEE Intell. Transp. Syst. Mag., 2025)

CurricuVLM: Towards Safe Autonomous Driving via Personalized Safety-Critical Curriculum Learning with Vision-Language Models. - Zihao Sheng; Zilin Huang; Yansong Qu; Yue Leng; Sruthi Bhavanam; Sikai Chen (CoRR, 2025)

FASIONAD++ : Integrating High-Level Instruction and Information Bottleneck in FAt-Slow fusION Systems for Enhanced Safety in Autonomous Driving with Adaptive Feedback. - Kangan Qian; Ziang Luo; Sicong Jiang; Zilin Huang; Jinyu Miao; Zhikun Ma; Tianze Zhu; Jiayin Li; Yangfan He; Zheng Fu; Yining Shi 002; Boyue Wang; et al. (CoRR, 2025)

Sky-Drive: A Distributed Multi-Agent Simulation Platform for Socially-Aware and Human-AI Collaborative Future Transportation. - Zilin Huang; Zihao Sheng; Zhengyang Wan; Yansong Qu; Yuhao Luo; Boyue Wang; Pei Li; Yen-Jung Chen; Jiancong Chen; Keke Long; Jiayi Meng; Yue Leng; et al. (CoRR, 2025)

IDU-Detector: A Synergistic Framework for Robust Masquerader Attack Detection. - Zilin Huang; Xiulai Li; Xinyi Cao; Ke Chen; Longjuan Wang; Logan Bo-Yee Liu (IEEE Internet Things J., 2025)

AgentThink: A Unified Framework for Tool-Augmented Chain-of-Thought Reasoning in Vision-Language Models for Autonomous Driving. - Kangan Qian; Sicong Jiang; Yang Zhong; Ziang Luo; Zilin Huang; Tianze Zhu; Kun Jiang 002; Mengmeng Yang 001; Zheng Fu; Jinyu Miao; Yining Shi 002; He Zhe Lim; et al. (CoRR, 2025)

VL-SAFE: Vision-Language Guided Safety-Aware Reinforcement Learning with World Models for Autonomous Driving. - Yansong Qu; Zilin Huang; Zihao Sheng; Jiancong Chen; Sikai Chen; Samuel Labi (CoRR, 2025)

V2X-REALM: Vision-Language Model-Based Robust End-to-End Cooperative Autonomous Driving with Adaptive Long-Tail Modeling. - Junwei You; Pei Li; Zhuoyu Jiang; Zilin Huang; Rui Gan; Haotian Shi; Bin Ran (CoRR, 2025)

A Survey on Vision-Language-Action Models for Autonomous Driving. - Sicong Jiang; Zilin Huang; Kangan Qian; Ziang Luo; Tianze Zhu; Yang Zhong; Yihong Tang; Menglin Kong; Yunlong Wang 009; Siwen Jiao; Hao Ye; Zihao Sheng; et al. (CoRR, 2025)

Iterative-Weighted Thresholding Method for Group-Sparsity-Constrained Optimization With Applications. - Lanfan Jiang; Zilin Huang; Yu Chen; Wenxing Zhu (IEEE Trans. Neural Networks Learn. Syst., 2025)

SafePLUG: Empowering Multimodal LLMs with Pixel-Level Insight and Temporal Grounding for Traffic Accident Understanding. - Zihao Sheng; Zilin Huang; Yen-Jung Chen; Yansong Qu; Yuhao Luo; Yue Leng; Sikai Chen (CoRR, 2025)

EvaDrive: Evolutionary Adversarial Policy Optimization for End-to-End Autonomous Driving. - Siwen Jiao; Kangan Qian; Hao Ye; Yang Zhong; Ziang Luo; Sicong Jiang; Zilin Huang; Yangyi Fang; Jinyu Miao; Zheng Fu; Yunlong Wang 009; Kun Jiang 002; et al. (CoRR, 2025)