Tengfei Liu

According to our database, Tengfei Liu authored at least 21 papers between 2020 and 2026.

Collaborative distances:

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

2026

M³Former: Memory-Guided Multi-Modal Generation and Adaptive Mixture Reasoning for Incomplete-Modality Crisis Event Detection.

Chenyang Lu, Boyue Wang, Tengfei Liu, Tian Tian, Yongli Hu, Baocai Yin

IEEE Trans. Circuits Syst. Video Technol., June, 2026

Mix-Persona Comment Generation and Geographically Enhanced Context Retrieval for LLM Fine-Tuning in Multimodal Crisis Post Classification.

Tong Bie, Yongli Hu, Yu Fu, Linjia Hao, Tengfei Liu, Kan Guo, Huajie Jiang, Junbin Gao, Yanfeng Sun, Baocai Yin

ISPRS Int. J. Geo Inf., 2026

Multi-agent role-playing by LLMs and LMMs: An explainable open-world multi-modal crisis tweet classification method.

Tong Bie, Yongli Hu, Yu Fu, Linjia Hao, Tengfei Liu, Huajie Jiang, Junbin Gao, Yanfeng Sun, Baocai Yin

Expert Syst. Appl., 2026

MARE: Multimodal Analogical Reasoning for Disease Evolution-Aware Radiology Report Generation.

Qingqing Gao, Tengfei Liu, Xiaoyan Li, Xiaodan Zhang, Zhongfan Sun, Boyue Wang, Baocai Yin, Zhaohui Liu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Toward Efficient Power Scene Detection via Topology-Preserved Knowledge Distillation.

Junfei Yi, Tengfei Liu, Jianxu Mao, Yaonan Wang, Hui Zhang, He Xie, Hang Zhong, Xiaojun Chang

IEEE Trans. Ind. Informatics, November, 2025

Tackling Real-World Complexity: Hierarchical Modeling and Dynamic Prompting for Multimodal Long Document Classification.

Tengfei Liu, Yongli Hu, Mingjie Li, Junfei Yi, Xiaojun Chang, Junbin Gao, Baocai Yin

IEEE Trans. Circuits Syst. Video Technol., June, 2025

Balancing Accuracy and Efficiency With a Multiscale Uncertainty-Aware Knowledge-Based Network for Transmission Line Inspection.

Junfei Yi, Jianxu Mao, Hui Zhang, Yurong Chen, Tengfei Liu, Kai Zeng, He Xie, Yaonan Wang

IEEE Trans. Ind. Informatics, April, 2025

Hierarchical Multi-Modal Transformer for Cross-Modal Long Document Classification.

Tengfei Liu, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin

IEEE Trans. Multim., 2025

HC-LLM: Historical-Constrained Large Language Models for Radiology Report Generation.

Tengfei Liu, Jiapu Wang, Yongli Hu, Mingjie Li, Junfei Yi, Xiaojun Chang, Junbin Gao, Baocai Yin

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

2024

MADE: Multicurvature Adaptive Embedding for Temporal Knowledge Graph Completion.

Jiapu Wang, Boyue Wang, Junbin Gao, Shirui Pan, Tengfei Liu, Baocai Yin, Wen Gao

IEEE Trans. Cybern., October, 2024

Cross-modal Multiple Granularity Interactive Fusion Network for Long Document Classification.

Tengfei Liu, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin

ACM Trans. Knowl. Discov. Data, May, 2024

Hierarchical Multi-Modal Prompting Transformer for Multi-Modal Long Document Classification.

Tengfei Liu, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin

IEEE Trans. Circuits Syst. Video Technol., 2024

Hierarchical Multi-Granularity Interaction Graph Convolutional Network for Long Document Classification.

Tengfei Liu, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin

IEEE ACM Trans. Audio Speech Lang. Process., 2024

Multi-modal long document classification based on Hierarchical Prompt and Multi-modal Transformer.

Tengfei Liu, Yongli Hu, Junbin Gao, Jiapu Wang, Yanfeng Sun, Baocai Yin

Neural Networks, 2024

Teaching with Uncertainty: Unleashing the Potential of Knowledge Distillation in Object Detection.

Junfei Yi, Jianxu Mao, Tengfei Liu, Mingjie Li, Hanyu Gu, Hui Zhang, Xiaojun Chang, Yaonan Wang

CoRR, 2024

2023

Hierarchical Graph Convolutional Networks for Structured Long Document Classification.

Tengfei Liu, Yongli Hu, Boyue Wang, Yanfeng Sun, Junbin Gao, Baocai Yin

IEEE Trans. Neural Networks Learn. Syst., October, 2023

A Survey on Temporal Knowledge Graph Completion: Taxonomy, Progress, and Prospects.

Jiapu Wang, Boyue Wang, Meikang Qiu, Shirui Pan, Bo Xiong, Heng Liu, Linhao Luo, Tengfei Liu, Yongli Hu, Baocai Yin, Wen Gao

CoRR, 2023

Zero-Shot Text Classification with Semantically Extended Textual Entailment.

Tengfei Liu, Yongli Hu, Puman Chen, Yanfeng Sun, Baocai Yin

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

Hierarchical Multiple Granularity Attention Network for Long Document Classification.

Yongli Hu, Wen Ding, Tengfei Liu, Junbin Gao, Yanfeng Sun, Baocai Yin

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Hierarchical Attention Transformer Networks for Long Document Classification.

Yongli Hu, Puman Chen, Tengfei Liu, Junbin Gao, Yanfeng Sun, Baocai Yin

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Zero-Shot Text Classification with Semantically Extended Graph Convolutional Network.

Tengfei Liu, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin

Proceedings of the 25th International Conference on Pattern Recognition, 2020