I am a lecturer at Beijing University of Technology. Before that, I received my Ph.D. degree from Beijing University of Technology in June 2025, where I was supervised by Prof. Yongli Hu (胡永利). From February 2024 to February 2025, I was a visiting student at the University of Technology Sydney (UTS), working under the supervision of Prof. Xiaojun Chang(常晓军) and Prof. Hanyu Gu.

My research interests include Multimodal LLM, Radiology Report Generation, Long Document Understanding, Zero-shot Learning, etc. For my full (and timely) publication list, please refer to my Google scholar .

🔥 News

• 2025.07 :   Our paper “Towards Efficient Power Scene Detection via Topology-preserved Knowledge Distillation” has been accepted by IEEE TII!
• 2025.03 :   Our paper “Hierarchical Multi-modal Transformer for Cross-modal Long Document Classification” has been accepted by IEEE TMM!
• 2025.01 :   Our paper “Tackling Real-world Complexity: Hierarchical Modeling and Dynamic Prompting for Multimodal Long Document Classification” has been accepted by IEEE TCSVT!
• 2025.01 :   Our dataset “FFA-IR: Towards an Explainable and Reliable Medical Report Generation Benchmark (version 1.1.0) has been published on the platform of PhysioNet.’’

📚 Publications

2025

• IEEE TII2025 Junfei Yi, Tengfei Liu, Jianxu Mao, Yaonan Wang, Hui Zhang, He Xie, Hang Zhong, Xiaojun Chang. Toward Efficient Power Scene Detection via Topology-Preserved Knowledge Distillation. IEEE Transactions on Industrial Informatics (IEEE TII’25), 2025. Paper

• AAAI 2025 Tengfei Liu, Jiapu Wang, Yongli Hu, Mingjie Li, Junfei Yi, Xiaojun Chang, Junbin Gao, Baocai Yin. HC-LLM: Historical-constrained Large Language Models for Radiology Report Generation. In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI’25), 2025. Paper

• IEEE TMM 2025 Tengfei Liu, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin. Hierarchical Multi-modal Transformer for Cross-modal Long Document Classification. IEEE Transactions on Multimedia (IEEE TMM’25) (IEEE TMM’25), 2025. Paper

• IEEE TCSVT 2025 Tengfei Liu, Yongli Hu, Mingjie Li, Junfei Yi, Xiaojun Chang, Junbin Gao, Baocai Yin. Tackling Real-World Complexity: Hierarchical Modeling and Dynamic Prompting for Multimodal Long Document Classification. IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT’25), 2025. Paper.

• IEEE TII 2025 Junfei Yi, Jianxu Mao, Hui Zhang, Yurong Chen, Tengfei Liu, Kai Zeng, He Xie, Yaonan Wang. Balancing Accuracy and Efficiency With a Multiscale Uncertainty-Aware Knowledge-Based Network for Transmission Line Inspection. IEEE Transactions on Industrial Informatics (IEEE TII’25), 2025. Paper.

2024

• Neural Networks 2024 Tengfei Liu, Yongli Hu, Junbin Gao, Jiapu Wang, Yanfeng Sun, Baocai Yin. Multi-modal long document classification based on Hierarchical Prompt and Multi-modal Transformer. Neural Networks (Neural Networks’24), 2024. Paper

• Arxiv 2024 Junfei Yi, Jianxu Mao, Tengfei Liu, Mingjie Li, Hanyu Gu, Hui Zhang, Xiaojun Chang, Yaonan Wang. Teaching with uncertainty: Unleashing the potential of knowledge distillation in object detection. Arxiv, 2024. Paper

• IEEE TCYB 2024 Jiapu Wang, Boyue Wang, Junbin Gao, Shirui Pan, Tengfei Liu, Baocai Yin, Wen Gao. Made: Multicurvature adaptive embedding for temporal knowledge graph completion. IEEE Transactions on Cybernetics (IEEE TCYB’2024). Paper

• IEEE/ACM TASLP 2024 Tengfei Liu, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin Hierarchical Multi-Granularity Interaction Graph Convolutional Network for Long Document Classification. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2024, 32:1762-1775. Paper

• IEEE TCSVT 2024 Tengfei Liu, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin. Hierarchical multi-modal prompting transformer for multi-modal long document classification. IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT’24), 2024. Paper

• ACM TKDD 2024 Tengfei Liu, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin. Cross-modal Multiple Granularity Interactive Fusion Network for Long Document Classification. ACM Transactions on Knowledge Discovery from Data (ACM TKDD’24), 2024. Paper

2023

• Arxiv 2023 Jiapu Wang, Boyue Wang, Meikang Qiu, Shirui Pan, Bo Xiong, Heng Liu, Linhao Luo, Tengfei Liu, Yongli Hu, Baocai Yin, Wen Gao. A survey on temporal knowledge graph completion: Taxonomy, progress, and prospects. Arxiv’23, 2023. Paper

• IJCNN 2023 Tengfei Liu, Yongli Hu, Puman Chen, Yanfeng Sun, Baocai Yin. Zero-shot text classification with semantically extended textual entailment. 2023 International Joint Conference on Neural Networks (IJCNN’23). Paper

2022

• IJCNN 2022 Yongli Hu, Wen Ding, Tengfei Liu, Junbin Gao, Yanfeng Sun, Baocai Yin. Hierarchical multiple granularity attention network for long document classification. 2023 International Joint Conference on Neural Networks (IJCNN’22). Paper

• IEEE TNNLS Tengfei Liu, Yongli Hu, Boyue Wang, Yanfeng Sun, Junbin Gao, Baocai Yin. Hierarchical graph convolutional networks for structured long document classification. IEEE Transactions on Neural Networks and Learning Systems, 2022, 34(10):8071-8085. Paper

2021

• Materials Today Nano L Fu, C Yang, R Wei, X Pei, J Teng, D Kong, Y Lu, Y Guo, T Liu, Y Hu, B Yin, Z Zhang, A Li, L Wang, X Han. In situ atomic-scale observation of AuCu alloy nanowire with superplasticity and high strength at room temperature. Materials Today Nano, 2021, 15:100123. Paper

• ICPR2021 Tengfei Liu, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin. Zero-shot text classification with semantically extended graph convolutional network. 2020 25th International Conference on Pattern Recognition (ICPR’21). Paper

🎖 Honors and Awards

• 2024.10 National Scholarship for Doctoral Students (China) 2024.
• 2023.07 CSC Scholarship (China Scholarship Council) 2023.
• 2020.10 First Prize in the Mathematical Contest in Modeling (MCM), United States 2020.

🔍 Educations & Work Experiences

• 2025.07 - (now), Lecturer at School of Information Science and Technology, Beijing University of Technology, Beijing, China.
• 2024.02 - 2025.02, Visiting Student at University of Technology Sydney (UTS), Sydney, Australia. (Supervisor: Prof. xiaojun Chang)
• 2018.09 – 2025.06, Ph.D. candidate (Combined Master and Ph.D. Program) at School of Information Science and Technology, Beijing University of Technology, Beijing, China. (Master’s Supervisor: Prof. Yanfeng Sun; Ph.D. Supervisor: Prof. Yongli Hu)
• 2014.09 - 2018.06, B.E. at Automation, Henan Polytechnic University, Henan, China.

🎤 Lecture, Talk, and Services

Lecture & Talk

• 2024.06, 《从ChatGPT到农业大模型：大模型及其在农业领域的前沿应用介绍》 中国农业大学.

Program Committee & Reviewer Service

• Program Committee Member of AAAI’25-26
• Reviewer of IEEE TNNLS, IEEE TCSVT, IEEE TMM, IEEE TIST, IEEE TII, CVPR, WWW, ACM MM.