Haicheng Liao - RankMe

62 papers A* 15A 1Journal 46

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Survey on Federated Fine-Tuning of Large Language Models. Trans. Mach. Learn. Res. Yebo Wu, Chunlin Tian, Jingguang Li, He Sun, Kahou Tam, Zhanting Zhou, Haicheng Liao, Jing Xiong, Zhijiang Guo, Li Li, Cheng-Zhong Xu
2026	J	`jnl`	CoT-Drive: Efficient Motion Forecasting for Autonomous Driving With LLMs and Chain-of-Thought Prompting. IEEE Trans. Artif. Intell. Haicheng Liao, Hanlin Kong, Bonan Wang, Chengyue Wang, Kanye Ye Wang, Zhengbing He, Chengzhong Xu, Zhenning Li
2026	A*	`conf`	Differentiable Semantic Meta-Learning Framework for Long-Tail Motion Forecasting in Autonomous Driving. AAAI Bin Rao, Chengyue Wang, Haicheng Liao, Qianfang Wang, Yanchen Guan, Jiaxun Zhang, Xingcheng Liu, Meixin Zhu, Kanye Ye Wang, Zhenning Li
2026	J	`jnl`	Multimodal Deception in Explainable AI: Concept-Level Backdoor Attacks on Concept Bottleneck Models. Trans. Mach. Learn. Res. Songning Lai, Jiayu Yang, Yu Huang, Lijie Hu, TianlangXue, Zhangyi Hu, Jiaxu Li, Haicheng Liao, Zongyang Liu, Yutao Yue
2026	A*	`conf`	Predict and Resist: Long-Term Accident Anticipation Under Sensor Noise. AAAI Xingcheng Liu, Bin Rao, Yanchen Guan, Chengyue Wang, Haicheng Liao, Jiaxun Zhang, Chengyu Lin, Meixin Zhu, Zhenning Li
2025	J	`jnl`	AMD: Adaptive Momentum and Decoupled Contrastive Learning Framework for Robust Long-Tail Trajectory Prediction. CoRR Bin Rao, Haicheng Liao, Yanchen Guan, Chengyue Wang, Bonan Wang, Jiaxun Zhang, Zhenning Li
2025	J	`jnl`	Addressing Corner Cases in Autonomous Driving: A World Model-based Approach with Mixture of Experts and LLMs. CoRR Haicheng Liao, Bonan Wang, Junxian Yang, Chengyue Wang, Zhengbin He, Guohui Zhang, Chengzhong Xu, Zhenning Li
2025	A*	`conf`	Beyond Patterns: Harnessing Causal Logic for Autonomous Driving Trajectory Prediction. IJCAI Bonan Wang, Haicheng Liao, Chengyue Wang, Bin Rao, Yanchen Guan, Guyang Yu, Jiaxun Zhang, Songning Lai, Chengzhong Xu, Zhenning Li
2025	J	`jnl`	Beyond Patterns: Harnessing Causal Logic for Autonomous Driving Trajectory Prediction. CoRR Bonan Wang, Haicheng Liao, Chengyue Wang, Bin Rao, Yanchen Guan, Guyang Yu, Jiaxun Zhang, Songning Lai, Chengzhong Xu, Zhenning Li
2025	J	`jnl`	Chain-of-Thought Guided Multimodal Large Language Models for Scene-Aware Accident Anticipation in Autonomous Driving. IEEE Trans. Intell. Transp. Syst. Haicheng Liao, Bin Rao, Haoyu Sun, Chengyue Wang, Qing Chang, Shengbo Eben Li, Chengzhong Xu, Zhenning Li
2025	J	`jnl`	CoT-Drive: Efficient Motion Forecasting for Autonomous Driving with LLMs and Chain-of-Thought Prompting. CoRR Haicheng Liao, Hanlin Kong, Bonan Wang, Chengyue Wang, Wang Ye, Zhengbing He, Cheng-Zhong Xu, Zhenning Li
2025	J	`jnl`	DEMO: A Dynamics-Enhanced Learning Model for multi-horizon trajectory prediction in autonomous vehicles. Inf. Fusion Chengyue Wang, Haicheng Liao, Kaiqun Zhu, Guohui Zhang, Zhenning Li
2025	A*	`conf`	DRIVE: Dependable Robust Interpretable Visionary Ensemble Framework in Autonomous Driving. ICRA Songning Lai, Tianlang Xue, Hongru Xiao, Lijie Hu, Jiemin Wu, Ninghui Feng, Runwei Guan, Haicheng Liao, Zhenning Li, Yutao Yue
2025	J	`jnl`	Differentiable Semantic Meta-Learning Framework for Long-Tail Motion Forecasting in Autonomous Driving. CoRR Bin Rao, Chengyue Wang, Haicheng Liao, Qianfang Wang, Yanchen Guan, Jiaxun Zhang, Xingcheng Liu, Meixin Zhu, Kanye Ye Wang, Zhenning Li
2025	J	`jnl`	Domain-Enhanced Dual-Branch Model for Efficient and Interpretable Accident Anticipation. CoRR Yanchen Guan, Haicheng Liao, Chengyue Wang, Bonan Wang, Jiaxun Zhang, Jia Hu, Zhenning Li
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	A*	`conf`	Eyes on the Road, Mind Beyond Vision: Context-Aware Multi-modal Enhanced Risk Anticipation. ACM Multimedia Jiaxun Zhang, Haicheng Liao, Yumu Xie, Chengyue Wang, Yanchen Guan, Bin Rao, Zhenning Li
2025	J	`jnl`	Eyes on the Road, Mind Beyond Vision: Context-Aware Multi-modal Enhanced Risk Anticipation. CoRR Jiaxun Zhang, Haicheng Liao, Yumu Xie, Chengyue Wang, Yanchen Guan, Bin Rao, Zhenning Li
2025	J	`jnl`	LATTE: A Real-time Lightweight Attention-based Traffic Accident Anticipation Engine. Inf. Fusion Jiaxun Zhang, Yanchen Guan, Chengyue Wang, Haicheng Liao, Guohui Zhang, Zhenning Li
2025	J	`jnl`	LATTE: Lightweight Attention-based Traffic Accident Anticipation Engine. CoRR Jiaxun Zhang, Yanchen Guan, Chengyue Wang, Haicheng Liao, Guohui Zhang, Zhenning Li
2025	J	`jnl`	Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey. CoRR Wei Dai, Shengen Wu, Wei Wu, Zhenhao Wang, Sisuo Lyu, Haicheng Liao, Limin Yu, Weiping Ding, Runwei Guan, Yutao Yue
2025	A*	`conf`	Learning New Concepts, Remembering the Old: Continual Learning for Multimodal Concept Bottleneck Models. ACM Multimedia Songning Lai, Mingqian Liao, Zhangyi Hu, Jiayu Yang, Wenshuo Chen, Hongru Xiao, Jianheng Tang, Haicheng Liao, Yutao Yue
2025	J	`jnl`	Map-World: Masked Action planning and Path-Integral World Model for Autonomous Driving. CoRR Bin Hu, Zijian Lu, Haicheng Liao, Chengran Yuan, Bin Rao, Yongkang Li, Guofa Li, Zhiyong Cui, Chengzhong Xu, Zhenning Li
2025	J	`jnl`	Minds on the Move: Decoding Trajectory Prediction in Autonomous Driving With Cognitive Insights. IEEE Trans. Intell. Transp. Syst. Haicheng Liao, Chengyue Wang, Kaiqun Zhu, Yilong Ren, Bolin Gao, Shengbo Eben Li, Chengzhong Xu, Zhenning Li
2025	J	`jnl`	Minds on the Move: Decoding Trajectory Prediction in Autonomous Driving with Cognitive Insights. CoRR Haicheng Liao, Chengyue Wang, Kaiqun Zhu, Yilong Ren, Bolin Gao, Shengbo Eben Li, Chengzhong Xu, Zhenning Li
2025	A*	`conf`	NEST: A Neuromodulated Small-world Hypergraph Trajectory Prediction Model for Autonomous Driving. AAAI Chengyue Wang, Haicheng Liao, Bonan Wang, Yanchen Guan, Bin Rao, Ziyuan Pu, Zhiyong Cui, Cheng-Zhong Xu, Zhenning Li
2025	J	`jnl`	Predict and Resist: Long-Term Accident Anticipation under Sensor Noise. CoRR Xingcheng Liu, Bin Rao, Yanchen Guan, Chengyue Wang, Haicheng Liao, Jiaxun Zhang, Chengyu Lin, Meixin Zhu, Zhenning Li
2025	J	`jnl`	ROAR: Robust Accident Recognition and Anticipation for Autonomous Driving. CoRR Xingcheng Liu, Yanchen Guan, Haicheng Liao, Zhengbing He, Zhenning Li
2025	J	`jnl`	SA-TP$^{2}$: A Safety-Aware Trajectory Prediction and Planning Model for Autonomous Driving. IEEE Trans. Robotics Haicheng Liao, Zhenning Li, Kaiqun Zhu, Keqiang Li, Cheng-Zhong Xu
2025	J	`jnl`	SafeCast: Risk-Responsive Motion Forecasting for Autonomous Vehicles. CoRR Haicheng Liao, Hanlin Kong, Bin Rao, Bonan Wang, Chengyue Wang, Guyang Yu, Yuming Huang, Ruru Tang, Cheng-Zhong Xu, Zhenning Li
2025	J	`jnl`	SafeCast: Risk-responsive motion forecasting for autonomous vehicles. AI Open Haicheng Liao, Hanlin Kong, Zhenning Li, Cheng-Zhong Xu
2025	J	`jnl`	Think Before You Drive: World Model-Inspired Multimodal Grounding for Autonomous Vehicles. CoRR Haicheng Liao, Huanming Shen, Bonan Wang, Yongkang Li, Yihong Tang, Chengyue Wang, Dingyi Zhuang, Kehua Chen, Hai Yang, Chengzhong Xu, Zhenning Li
2025	J	`jnl`	Toward Human-Like Trajectory Prediction for Autonomous Driving: A Behavior-Centric Approach. Transp. Sci. Haicheng Liao, Zhenning Li, Guohui Zhang, Keqiang Li, Cheng-Zhong Xu
2025	J	`jnl`	Towards Human-Like Trajectory Prediction for Autonomous Driving: A Behavior-Centric Approach. CoRR Haicheng Liao, Zhenning Li, Guohui Zhang, Keqiang Li, Chengzhong Xu
2025	J	`jnl`	WAKE: Towards Robust and Physically Feasible Trajectory Prediction for Autonomous Vehicles With WAvelet and KinEmatics Synergy. IEEE Trans. Pattern Anal. Mach. Intell. Chengyue Wang, Haicheng Liao, Zhenning Li, Chengzhong Xu
2025	J	`jnl`	World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving. CoRR Yanchen Guan, Haicheng Liao, Chengyue Wang, Xingcheng Liu, Jiaxun Zhang, Zhenning Li
2024	J	`jnl`	A Cognitive-Based Trajectory Prediction Approach for Autonomous Driving. CoRR Haicheng Liao, Yongkang Li, Zhenning Li, Chengyue Wang, Zhiyong Cui, Shengbo Eben Li, Chengzhong Xu
2024	J	`jnl`	A Cognitive-Based Trajectory Prediction Approach for Autonomous Driving. IEEE Trans. Intell. Veh. Haicheng Liao, Yongkang Li, Zhenning Li, Chengyue Wang, Zhiyong Cui, Shengbo Eben Li, Chengzhong Xu
2024	J	`jnl`	A Cognitive-Driven Trajectory Prediction Model for Autonomous Driving in Mixed Autonomy Environment. CoRR Haicheng Liao, Zhenning Li, Chengyue Wang, Bonan Wang, Hanlin Kong, Yanchen Guan, Guofa Li, Zhiyong Cui, Chengzhong Xu
2024	A*	`conf`	A Cognitive-Driven Trajectory Prediction Model for Autonomous Driving in Mixed Autonomy Environments. IJCAI Haicheng Liao, Zhenning Li, Chengyue Wang, Bonan Wang, Hanlin Kong, Yanchen Guan, Guofa Li, Zhiyong Cui
2024	A*	`conf`	BAT: Behavior-Aware Human-Like Trajectory Prediction for Autonomous Driving. AAAI Haicheng Liao, Zhenning Li, Huanming Shen, Wenxuan Zeng, Dongping Liao, Guofa Li, Chengzhong Xu
2024	J	`jnl`	CAT: Concept-level backdoor ATtacks for Concept Bottleneck Models. CoRR Songning Lai, Jiayu Yang, Yu Huang, Lijie Hu, Tianlang Xue, Zhangyi Hu, Jiaxu Li, Haicheng Liao, Yutao Yue
2024	A*	`conf`	CDSTraj: Characterized Diffusion and Spatial-Temporal Interaction Network for Trajectory Prediction in Autonomous Driving. IJCAI Haicheng Liao, Xuelin Li, Yongkang Li, Hanlin Kong, Chengyue Wang, Bonan Wang, Yanchen Guan, Kahou Tam, Zhenning Li
2024	A*	`conf`	CRASH: Crash Recognition and Anticipation System Harnessing with Context-Aware and Temporal Focus Attentions. ACM Multimedia Haicheng Liao, Haoyu Sun, Huanming Shen, Chengyue Wang, Chunlin Tian, Kahou Tam, Li Li, Chengzhong Xu, Zhenning Li
2024	J	`jnl`	CRASH: Crash Recognition and Anticipation System Harnessing with Context-Aware and Temporal Focus Attentions. CoRR Haicheng Liao, Haoyu Sun, Huanming Shen, Chengyue Wang, Kahou Tam, Chunlin Tian, Li Li, Chengzhong Xu, Zhenning Li
2024	J	`jnl`	Characterized Diffusion and Spatial-Temporal Interaction Network for Trajectory Prediction in Autonomous Driving. CoRR Haicheng Liao, Xuelin Li, Yongkang Li, Hanlin Kong, Chengyue Wang, Bonan Wang, Yanchen Guan, Kahou Tam, Zhenning Li, Chengzhong Xu
2024	J	`jnl`	DEMO: A Dynamics-Enhanced Learning Model for Multi-Horizon Trajectory Prediction in Autonomous Vehicles. CoRR Chengyue Wang, Haicheng Liao, Kaiqun Zhu, Guohui Zhang, Zhenning Li
2024	J	`jnl`	DRIVE: Dependable Robust Interpretable Visionary Ensemble Framework in Autonomous Driving. CoRR Songning Lai, Tianlang Xue, Hongru Xiao, Lijie Hu, Jiemin Wu, Ninghui Feng, Runwei Guan, Haicheng Liao, Zhenning Li, Yutao Yue
2024	A*	`conf`	Human Observation-Inspired Trajectory Prediction for Autonomous Driving in Mixed-Autonomy Traffic Environments. ICRA Haicheng Liao, Shangqian Liu, Yongkang Li, Zhenning Li, Chengyue Wang, Yunjian Li, Shengbo Eben Li, Chengzhong Xu
2024	J	`jnl`	Human Observation-Inspired Trajectory Prediction for Autonomous Driving in Mixed-Autonomy Traffic Environments. CoRR Haicheng Liao, Shangqian Liu, Yongkang Li, Zhenning Li, Chengyue Wang, Yunjian Li, Shengbo Eben Li, Chengzhong Xu
2024	A	`conf`	Less is More: Efficient Brain-Inspired Learning for Autonomous Driving Trajectory Prediction. ECAI Haicheng Liao, Yongkang Li, Zhenning Li, Chengyue Wang, Guofa Li, Chunlin Tian, Zilin Bian, Kaiqun Zhu, Zhiyong Cui, Jia Hu
2024	J	`jnl`	Less is More: Efficient Brain-Inspired Learning for Autonomous Driving Trajectory Prediction. CoRR Haicheng Liao, Yongkang Li, Zhenning Li, Chengyue Wang, Chunlin Tian, Yuming Huang, Zilin Bian, Kaiqun Zhu, Guofa Li, Ziyuan Pu, Jia Hu, Zhiyong Cui, Chengzhong Xu
2024	A*	`conf`	MFTraj: Map-Free, Behavior-Driven Trajectory Prediction for Autonomous Driving. IJCAI Haicheng Liao, Zhenning Li, Chengyue Wang, Huanming Shen, Dongping Liao, Bonan Wang, Guofa Li, Chengzhong Xu
2024	J	`jnl`	MFTraj: Map-Free, Behavior-Driven Trajectory Prediction for Autonomous Driving. CoRR Haicheng Liao, Zhenning Li, Chengyue Wang, Huanming Shen, Bonan Wang, Dongping Liao, Guofa Li, Chengzhong Xu
2024	J	`jnl`	NEST: A Neuromodulated Small-world Hypergraph Trajectory Prediction Model for Autonomous Driving. CoRR Chengyue Wang, Haicheng Liao, Bonan Wang, Yanchen Guan, Bin Rao, Ziyuan Pu, Zhiyong Cui, Chengzhong Xu, Zhenning Li
2024	A*	`conf`	Physics-Informed Trajectory Prediction for Autonomous Driving under Missing Observation. IJCAI Haicheng Liao, Chengyue Wang, Zhenning Li, Yongkang Li, Bonan Wang, Guofa Li, Chengzhong Xu
2024	J	`jnl`	Real-time Accident Anticipation for Autonomous Driving Through Monocular Depth-Enhanced 3D Modeling. CoRR Haicheng Liao, Yongkang Li, Chengyue Wang, Songning Lai, Zhenning Li, Zilin Bian, Jaeyoung Lee, Zhiyong Cui, Guohui Zhang, Chengzhong Xu
2024	A*	`conf`	When, Where, and What? A Benchmark for Accident Anticipation and Localization with Large Language Models. ACM Multimedia Haicheng Liao, Yongkang Li, Chengyue Wang, Yanchen Guan, Kahou Tam, Chunlin Tian, Li Li, Chengzhong Xu, Zhenning Li
2024	J	`jnl`	When, Where, and What? A Novel Benchmark for Accident Anticipation and Localization with Large Language Models. CoRR Haicheng Liao, Yongkang Li, Chengyue Wang, Yanchen Guan, Kahou Tam, Chunlin Tian, Li Li, Chengzhong Xu, Zhenning Li
2024	J	`jnl`	World Models for Autonomous Driving: An Initial Survey. CoRR Yanchen Guan, Haicheng Liao, Zhenning Li, Guohui Zhang, Chengzhong Xu
2023	J	`jnl`	BAT: Behavior-Aware Human-Like Trajectory Prediction for Autonomous Driving. CoRR Haicheng Liao, Zhenning Li, Huanming Shen, Wenxuan Zeng, Dongping Liao, Guofa Li, Shengbo Eben Li, Chengzhong Xu
2023	J	`jnl`	GPT-4 Enhanced Multimodal Grounding for Autonomous Driving: Leveraging Cross-Modal Attention with Large Language Models. CoRR Haicheng Liao, Huanming Shen, Zhenning Li, Chengyue Wang, Guofa Li, Yiming Bie, Chengzhong Xu