I am a Ph.D. student enrolled in a combined master’s and doctoral program supervised by Prof. Yongli Hu (胡永利) at Beijing University of Technology（北京工业大学）. From February 2024 to February 2025, I am 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 Long Document Understanding, Multi-modal Representation, and Radiology Report Generation.

Datasets

• Structured Long Document Classification Datasets[Link]
• Multi-modal Long Document Classification Datasets[Link]

📢 News

• 🗓️ [2025-03] Our paper “Hierarchical Multi-modal Transformer for Cross-modal Long Document Classification has been accepted by IEEE Transactions on Multimedia(JCR一区，中科院一区，影响因子8.4).’’

• 🗓️ [2025-01] Our paper “Tackling Real-world Complexity: Hierarchical Modeling and Dynamic Prompting for Multimodal Long Document Classification has been accepted by IEEE Transactions on Circuits and Systems for Video Technology(JCR一区，中科院一区，影响因子8.3).’’

• 🗓️ [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.’’

• 🗓️ [2024-12] Our paper “HC-LLM: Historical-Constrained Large Language Models for Radiology Report Generation has been accepted by AAAI Conference on Artificial Intelligence(AAAI2025,CCF-A类).’’

• 🗓️ [2024-11] Our paper “Balancing Accuracy and Efficiency with a Multiscale Uncertainty-aware Knowledge-based Network for Transmission Line Inspection has been accepted by IEEE Transactions on Industrial Informatics(JCR一区，中科院一区，影响因子11.7).’’

• 🗓️ [2024-07] Our paper “Hierarchical Multi-modal Transformer for Cross-modal Long Document Classification is now available.’’(July 2024)

• 🗓️ [2024-06] Our paper “Teaching with Uncertainty: Unleashing the Potential of Knowledge Distillation in Object Detection is now available.’’(June 2024)

• 🗓️ [2024-05] Our paper “MADE: Multicurvature Adaptive Embedding for Temporal Knowledge Graph Completion has been accepted by IEEE Transactions on Cybernetics(JCR一区，中科院一区，影响因子10.59).’ (May 2024)

• 🗓️ [2024-04] Our paper “Multi-modal long document classification based on Hierarchical Prompt and Multi-modal Transformer has been accepted by Neural Networks(JCR一区，中科院一区，影响因子6.0).’ (April 2024)

• 🗓️ [2024-02] Our paper “Hierarchical Multi-Granularity Interaction Graph Convolutional Network for Long Document Classification has been accepted by IEEE/ACM Transactions on Audio, Speech, and Language Processing(JCR一区，中科院一区，影响因子4.1).’ (May 2024)

• 🗓️ [2024-02] Our paper “Hierarchical Multi-modal Prompting Transformer for Multi-modal Long Document Classification has been accepted by IEEE Transactions on Circuits and Systems for Video Technology(JCR一区，中科院一区，影响因子8.3).’ (February 2024)

• 🗓️ [2023-10] Our paper “Cross-modal Multiple Granularity Interactive Fusion Network for Long Document Classification has been accepted by ACM Transactions on Knowledge Discovery from Data(JCR一区，中科院三区，CCF-B类期刊，影响因子4.0).’ (February 2024)

• 🗓️ [2023-09] Our paper “A survey on temporal knowledge graph completion: Taxonomy, progress, and prospects is now available.’’(September 2023)

• 🗓️ [2023-02] Our paper “Hierarchical graph convolutional networks for structured long document classification has been accepted by IEEE Transactions on Neural Networks and Learning Systems(JCR一区，中科院一区，影响因子14.255).’’ (February 2023)