Yanchen Guan

According to our database, Yanchen Guan authored at least 20 papers between 2024 and 2026.

Collaborative distances:

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

2026

Learning from the Unseen: Generative Data Augmentation for Geometric-Semantic Accident Anticipation.

Yanchen Guan, Haicheng Liao, Chengyue Wang, Xingcheng Liu, Jiaxun Zhang, Keqiang Li, Zhenning Li

CoRR, May, 2026

Learning physically grounded traffic accident reconstruction from public accident reports.

Yanchen Guan, Haicheng Liao, Chengyue Wang, Zhenning Li

CoRR, May, 2026

Differentiable Semantic Meta-Learning Framework for Long-Tail Motion Forecasting in Autonomous Driving.

Bin Rao, Chengyue Wang, Haicheng Liao, Qianfang Wang, Yanchen Guan, Jiaxun Zhang, Xingcheng Liu, Meixin Zhu, Kanye Ye Wang, Zhenning Li

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Predict and Resist: Long-Term Accident Anticipation Under Sensor Noise.

Xingcheng Liu, Bin Rao, Yanchen Guan, Chengyue Wang, Haicheng Liao, Jiaxun Zhang, Chengyu Lin, Meixin Zhu, Zhenning Li

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

ROAR: Robust Accident Recognition and Anticipation for Autonomous Driving.

Xingcheng Liu, Yanchen Guan, Haicheng Liao, Zhengbing He, Zhenning Li

CoRR, November, 2025

World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving.

Yanchen Guan, Haicheng Liao, Chengyue Wang, Xingcheng Liu, Jiaxun Zhang, Zhenning Li

CoRR, July, 2025

Domain-Enhanced Dual-Branch Model for Efficient and Interpretable Accident Anticipation.

Yanchen Guan, Haicheng Liao, Chengyue Wang, Bonan Wang, Jiaxun Zhang, Jia Hu, Zhenning Li

CoRR, July, 2025

LATTE: Lightweight Attention-based Traffic Accident Anticipation Engine.

Jiaxun Zhang, Yanchen Guan, Chengyue Wang, Haicheng Liao, Guohui Zhang, Zhenning Li

CoRR, April, 2025

LATTE: A Real-time Lightweight Attention-based Traffic Accident Anticipation Engine.

Jiaxun Zhang, Yanchen Guan, Chengyue Wang, Haicheng Liao, Guohui Zhang, Zhenning Li

Inf. Fusion, 2025

Eyes on the Road, Mind Beyond Vision: Context-Aware Multi-modal Enhanced Risk Anticipation.

Jiaxun Zhang, Haicheng Liao, Yumu Xie, Chengyue Wang, Yanchen Guan, Bin Rao, Zhenning Li

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Beyond Patterns: Harnessing Causal Logic for Autonomous Driving Trajectory Prediction.

Bonan Wang, Haicheng Liao, Chengyue Wang, Bin Rao, Yanchen Guan, Guyang Yu, Jiaxun Zhang, Songning Lai, Chengzhong Xu, Zhenning Li

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

AMD: Adaptive Momentum and Decoupled Contrastive Learning Framework for Robust Long-Tail Trajectory Prediction.

Bin Rao, Haicheng Liao, Yanchen Guan, Chengyue Wang, Bonan Wang, Jiaxun Zhang, Zhenning Li

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

NEST: A Neuromodulated Small-world Hypergraph Trajectory Prediction Model for Autonomous Driving.

Chengyue Wang, Haicheng Liao, Bonan Wang, Yanchen Guan, Bin Rao, Ziyuan Pu, Zhiyong Cui, Cheng-Zhong Xu, Zhenning Li

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

When, Where, and What? A Novel Benchmark for Accident Anticipation and Localization with Large Language Models.

Haicheng Liao, Yongkang Li, Chengyue Wang, Yanchen Guan, KaHou Tam, Chunlin Tian, Li Li, Chengzhong Xu, Zhenning Li

CoRR, 2024

Characterized Diffusion and Spatial-Temporal Interaction Network for Trajectory Prediction in Autonomous Driving.

Haicheng Liao, Xuelin Li, Yongkang Li, Hanlin Kong, Chengyue Wang, Bonan Wang, Yanchen Guan, KaHou Tam, Zhenning Li, Chengzhong Xu

CoRR, 2024

A Cognitive-Driven Trajectory Prediction Model for Autonomous Driving in Mixed Autonomy Environment.

Haicheng Liao, Zhenning Li, Chengyue Wang, Bonan Wang, Hanlin Kong, Yanchen Guan, Guofa Li, Zhiyong Cui, Chengzhong Xu

CoRR, 2024

World Models for Autonomous Driving: An Initial Survey.

Yanchen Guan, Haicheng Liao, Zhenning Li, Guohui Zhang, Chengzhong Xu

CoRR, 2024

When, Where, and What? A Benchmark for Accident Anticipation and Localization with Large Language Models.

Haicheng Liao, Yongkang Li, Chengyue Wang, Yanchen Guan, Kahou Tam, Chunlin Tian, Li Li, Chengzhong Xu, Zhenning Li

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

A Cognitive-Driven Trajectory Prediction Model for Autonomous Driving in Mixed Autonomy Environments.

Haicheng Liao, Zhenning Li, Chengyue Wang, Bonan Wang, Hanlin Kong, Yanchen Guan, Guofa Li, Zhiyong Cui

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

CDSTraj: Characterized Diffusion and Spatial-Temporal Interaction Network for Trajectory Prediction in Autonomous Driving.

Haicheng Liao, Xuelin Li, Yongkang Li, Hanlin Kong, Chengyue Wang, Bonan Wang, Yanchen Guan, KaHou Tam, Zhenning Li

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024