Scholar
Hulingxiao He
Google Scholar ID: HiX5sToAAAAJ
Wangxuan Institute of Technology, Peking University
Fine-grained Large Multi-modal Models
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Citations & Impact
All-time
Citations
22
H-index
2
i10-index
1
Publications
11
Co-authors
8
list available
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Publications
4 items
Taxonomy-Aware Representation Alignment for Hierarchical Visual Recognition with Large Multimodal Models
2026
Cited
0
Venus: Benchmarking and Empowering Multimodal Large Language Models for Aesthetic Guidance and Cropping
2026
Cited
0
Fine-R1: Make Multi-modal LLMs Excel in Fine-Grained Visual Recognition by Chain-of-Thought Reasoning
2026
Cited
0
Analyzing and Boosting the Power of Fine-Grained Visual Recognition for Multi-modal Large Language Models
2025
Cited
0
Resume (English only)
Academic Achievements
Paper 'Analyzing and Boosting the Power of Fine-Grained Visual Recognition for Multi-modal Large Language Models' accepted by ICLR 2025
Paper 'CountMamba: Exploring Multi-directional Selective State-Space Models for Plant Counting' presented at PRCV 2024
Paper 'Firzen: Firing Strict Cold-Start Items with Frozen Heterogeneous and Homogeneous Graphs for Recommendation' presented at ICDE 2024
Paper 'Learning Unified Representations for Multi-Resolution Face Recognition' presented at BMVC 2023
Outstanding Graduate, Beijing Institute of Technology, 2023
Outstanding League Cadres, 2022
National Scholarship, 2021
Pacemaker to Merit Student, Beijing Institute of Technology, 2021
Finalist Award, Mathematical Contest in Modeling, 2021
First Prize in Beijing Division, Contemporary Undergraduate Mathematical Contest in Modeling, 2021
National Winner Award, HUAWEI Cloud AI Competition – Unmanned Vehicle Challenge Cup, 2021
Co-authors
8 total
Yuxin Peng
Peking University
Jinglin Xu (徐婧林)
University of Science and Technology Beijing
Geng Li
Peking University
Zijun Geng
Beijing University of Posts and Telecommunications
Zifei Shan
Applied Research at Tencent
Xiangteng He
University of British Columbia
Co-author 7
Shilong Zhao
University of Chinese Academy of Sciences
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