Haicheng Liao

Orcid: 0000-0002-0207-5087

According to our database¹, Haicheng Liao authored at least 36 papers between 2023 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2025

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

[BibT_eX]

[DOI]

CoRR, July, 2025

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

[BibT_eX]

[DOI]

CoRR, July, 2025

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

[BibT_eX]

[DOI]

CoRR, July, 2025

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

[BibT_eX]

[DOI]

CoRR, July, 2025

Minds on the Move: Decoding Trajectory Prediction in Autonomous Driving With Cognitive Insights.

[BibT_eX]

[DOI]

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

Towards Human-Like Trajectory Prediction for Autonomous Driving: A Behavior-Centric Approach.

[BibT_eX]

[DOI]

CoRR, May, 2025

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

[BibT_eX]

[DOI]

CoRR, May, 2025

WAKE: Towards Robust and Physically Feasible Trajectory Prediction for Autonomous Vehicles With WAvelet and KinEmatics Synergy.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., April, 2025

LATTE: Lightweight Attention-based Traffic Accident Anticipation Engine.

[BibT_eX]

[DOI]

CoRR, April, 2025

SafeCast: Risk-Responsive Motion Forecasting for Autonomous Vehicles.

[BibT_eX]

[DOI]

CoRR, March, 2025

CoT-Drive: Efficient Motion Forecasting for Autonomous Driving with LLMs and Chain-of-Thought Prompting.

[BibT_eX]

[DOI]

CoRR, March, 2025

Toward Human-Like Trajectory Prediction for Autonomous Driving: A Behavior-Centric Approach.

[BibT_eX]

[DOI]

Transp. Sci., 2025

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

[BibT_eX]

[DOI]

Inf. Fusion, 2025

DEMO: A Dynamics-Enhanced Learning Model for multi-horizon trajectory prediction in autonomous vehicles.

[BibT_eX]

[DOI]

Inf. Fusion, 2025

SafeCast: Risk-responsive motion forecasting for autonomous vehicles.

[BibT_eX]

[DOI]

AI Open, 2025

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

[BibT_eX]

[DOI]

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

2024

A Cognitive-Based Trajectory Prediction Approach for Autonomous Driving.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Veh., April, 2024

CAT: Concept-level backdoor ATtacks for Concept Bottleneck Models.

[BibT_eX]

[DOI]

CoRR, 2024

DRIVE: Dependable Robust Interpretable Visionary Ensemble Framework in Autonomous Driving.

[BibT_eX]

[DOI]

CoRR, 2024

Real-time Accident Anticipation for Autonomous Driving Through Monocular Depth-Enhanced 3D Modeling.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Less is More: Efficient Brain-Inspired Learning for Autonomous Driving Trajectory Prediction.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

World Models for Autonomous Driving: An Initial Survey.

[BibT_eX]

[DOI]

CoRR, 2024

CRASH: Crash Recognition and Anticipation System Harnessing with Context-Aware and Temporal Focus Attentions.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

Physics-Informed Trajectory Prediction for Autonomous Driving under Missing Observation.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

MFTraj: Map-Free, Behavior-Driven Trajectory Prediction for Autonomous Driving.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Human Observation-Inspired Trajectory Prediction for Autonomous Driving in Mixed-Autonomy Traffic Environments.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Less is More: Efficient Brain-Inspired Learning for Autonomous Driving Trajectory Prediction.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

BAT: Behavior-Aware Human-Like Trajectory Prediction for Autonomous Driving.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

BAT: Behavior-Aware Human-Like Trajectory Prediction for Autonomous Driving.

[BibT_eX]

[DOI]

CoRR, 2023

GPT-4 Enhanced Multimodal Grounding for Autonomous Driving: Leveraging Cross-Modal Attention with Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Haicheng Liao

Timeline

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On csauthors.net:

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