I am currently a Lecturer at the School of Artificial Intelligence, Beijing University of Technology (BJUT). I received my Ph.D. degree from BJUT in June 2025 under the supervision of Prof. Yongli Hu, and conducted my doctoral research in the group led by Prof. Baocai Yin. From February 2024 to February 2025, I was a visiting Ph.D. student at the ReLER Lab, University of Technology Sydney (UTS), under the supervision of Prof. Xiaojun Chang and Prof. Hanyu Gu. My research interests include multimodal learning, medical image analysis, trustworthy large language models, and multi-agent systems. I have published more than 20 peer-reviewed papers, including 14 papers as first or corresponding author, in journals and conferences such as IEEE TNNLS/TMM/TCSVT/TASLP/TKDD, Neural Networks, CVPR, and AAAI. I am the principal investigator of the National Postdoctoral Researcher Program (Category C), the China Postdoctoral Science Foundation General Program, and the Beijing Natural Science Foundation Youth Program, and have participated in several national-level research projects. I have received honors including the National Scholarship for Doctoral Students, CSC Scholarship, Outstanding Graduate Award, and Top 100 Graduates Award.

刘腾飞，北京工业大学人工智能学院讲师。2025年6月于北京工业大学获得博士学位，博士期间师从胡永利教授，并在尹宝才教授-国家杰青团队开展科研工作。2024年2月至2025年2月，赴澳大利亚悉尼科技大学（University of Technology Sydney, UTS）ReLER实验室联合培养一年，师从常晓军教授-长江学者和Hanyu Gu教授。研究方向主要包括长文档智能处理、多模态信息融合、医疗影像智能分析、可信大模型与多智能体协同等。目前已发表学术论文20余篇，其中以第一作者/通讯作者发表学术论文14篇，相关成果发表于IEEE TNNLS/TMM/TCSVT/TASLP/TKDD、Neural Networks等国际期刊，以及 CVPR、AAAI等CCF-A类国际会议。主持国家资助博士后研究人员计划C档、中国博士后科学基金面上项目、北京市自然科学基金青年项目等科研项目，并作为研究骨干参与科技创新2030重大项目、国家自然科学基金联合基金重点项目**等多项国家级科研项目。曾获博士研究生国家奖学金、CSC国家公派留学奖学金、校级优秀毕业生、百佳毕业生等荣誉。

• Personal Website: 北京工业大学人工智能学院个人主页

• Email: tfliu@bjut.edu.cn, Tengfei.Liu0821@outlook.com, 18811038594@163.com

• WeChat: fei960821

🔥 News

• 2026.07 :   🎉 获批国家资助博士后研究人员计划C档资助!
• 2026.05 :   🎉 Our paper entitled “REFD: Relation-aware Entity Feature Decoupling for Multimodal Knowledge GraphCompletion” has been accepted by IEEE TMM!
• 2026.05 :   🎉 Our paper entitled “GeoEvo: Identity-Aware Potential Game with Geometric Evolution for Personalized Multimodal Federated Learning” has been accepted by ICML 2026!
• 2026.05 :   🎉 Our paper entitled “Deep Multi-view Graph Clustering via Attribute-aware Bidirectional Structural Refinement and Pseudo-label Guided Multi-level Fusion” has been accepted by ICML 2026!
• 2026.04 :   🎉 Our paper entitled “Human-Like Multi-Modal Fake News Detection via Reflective Summarization and Large–Small Model Collaboration” has been accepted by IEEE TNNLS!
• 2026.03 :   🎉 Our paper entitled “Distilling Object Detectors via Monte Carlo Dropout” has been accepted by IEEE TPAMI!
• 2026.03 :   🎉 Our paper entitled “CoreKD: A Context-Aware Local Region Structural Contrastive Knowledge Distillation Framework for Object Detection” has been accepted by IEEE TNNLS!
• 2026.02 :   🎉 Our paper entitled “BiOTPrompt: Bidirectional Optimal Transport Guided Prompting for Disease Evolution-aware Radiology Report Generation” has been accepted by CVPR 2026!
• 2026.02 :   🎉 Our paper entitled “Aligning Collaborative View Recovery and Tensorial Subspace Learning via Latent Representation for Incomplete Multi-View Clustering” has been accepted by ICLR 2026!
• 2026.02 :   🎉 Our paper entitled “M3Former: Memory-guided Multi-modal Generation and Adaptive Mixture Reasoning for Incomplete-Modality Crisis Event Detection” has been accepted by IEEE TCSVT!
• 2026.01 :   🎉 Our paper entitled “Case2Knowledge: Structured Knowledge-Infused Prompting for Faithful Radiology Report Generation” has been accepted by ICASSP 2026!
• 2025.12 :   🎉 获批北京市自然科学基金青年项目资助!
• 2025.11 :   🎉 获批中国博士后科学基金第78批面上资助!

📚 Publications

2026

• TPAMI 2026 Junfei Yi, Hui Zhang, Jianxu Mao, Tengfei Liu, Mingjie Li, Sihao Lin, Hanyu Gu, Zhihui Li, Xiaojun Chang, Yaonan Wang. Distilling Object Detectors via Monte CarloDropout. IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI’26), 2026. Paper

• TNNLS 2026 Boyue Wang, Yihan Gao, Tengfei Liu, Junbin Gao, Guangchao Wu, Yongli Hu, Baocai Yin. Human-Like Multi-Modal Fake News Detection via Reflective Summarization and Large–Small Model Collaboration. IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS’26), 2026. Paper

• TNNLS 2026 Junfei Yi, Jianxu Mao, Yaonan Wang, Tengfei Liu, Mingjie Li, Kai Zeng, Hui Zhang, Xiaojun Chang. CoreKD: A Context-Aware Local Region Structural Contrastive Knowledge Distillation Framework for Object Detection. IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS’26), 2026. Paper

• IEEE TCSVT 2026 Chenyang Lu, Boyue Wang, Tengfei Liu, Tian Tian, Yongli Hu, Baocai Yin. M3Former: Memory-guided Multi-modal Generation and Adaptive Mixture Reasoning for Incomplete-Modality Crisis Event Detection. IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT’26), 2026. Paper.

• AAAI 2026 Qingqing Gao, Tengfei Liu, Boyue Wang, Xiaoyan Li, Xiaodan Zhang, Zhongfan Sun, Baocai Yin, Zhaohui Liu. Multimodal Analogical Reasoning based Disease Evolution Modeling for Longitudinal Radiology Report Generation. In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI’25), 2026. Paper

• IEEE TCSVT 2026 Chenyang Lu, Boyue Wang, Tengfei Liu, Tian Tian, Yongli Hu and Baocai Yin. M3Former: Memory-guided Multi-modal Generation and Adaptive Mixture Reasoning for Incomplete-Modality Crisis Event Detection. IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT’26), 2026. Paper.

• 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.

• PhysioNet 2025 Li, M., Cai, W., Liu, R., Weng, Y., Liu, T., Wang, C., chen, x., liu, z., Pan, C., Li, M., zheng, y., Liu, Y., Salim, F., Verspoor, K., Liang, X., & Chang, X. (2025). FFA-IR: Towards an Explainable and Reliable Medical Report Generation Benchmark (version 1.1.0). PhysioNet. RRID:SCR_007345. https://doi.org/10.13026/f7w3-gm74

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

• 2026.04 - (now), Lecturer at School of Artificial Intelligence, Beijing University of Technology, Beijing, China.
• 2025.07 - 2026.03, 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.

💼 Research Projects & Grants

• 国家资助博士后研究人员计划C档，2025-07 至 2027-12，24万，在研，主持
• 中国博士后科学基金会，面上项目，2025-12 至 2027-12，8万，在研，主持
• 北京市自然科学基金委员会，北京市自然科学基金青年项目，2026-01 至 2027-12，20万，在研，主持
• 企业技术委托项目，视频数据集标注与语义知识库构建，2025-2026，65万，在研，主持；
• 25高校科技创新服务能力建设–新进教师启动计划项目（理工类），2026-2027，10万，在研，主持；
• 科技创新2030重大项目，异质信息协同和多重知识表达的可解释连续学习，2021-2026，参与
• 国家自然科学基金联合基金重点项目，面向社会媒体信息的视觉协同计算与聚焦推理，2022-2026，参与
• 北京市自然科学基金面上项目，知识强化的开放场景图像识别，2026-2028，参与

🎤 Lecture, Talk, and Services

Lecture & Talk

• 2025.12, 《从概念到应用：人工智能技术浅析与团队成果汇报》 中国农业科学院.
• 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, CVPR2026, WWW2026, ICRA2026，ECCV2026, ACM MM2026
• Reviewer of IEEE TNNLS, IEEE TCSVT, IEEE TMM, IEEE TIST, IEEE TII, CVPR, WWW, ACM MM，FCS.