Qiankun Li (李乾坤)

About Me

My research interests include AI for Health (AI4Health), Multimodal Large Language Model (MLLM) Reasoning, and Trustworthy AI (including Hallucination, Safety, and Explanation).

📣 Feel free to reach out if you are interested in collaborating on my research🤝!

Funding Projects

• 2026 National Key R&D Program of China – Strategic Scientific and Technological Innovation Cooperation (International Collaboration), (Ongoing), Core Participant (International Technical Lead)
• 2025 Huawei Strategic Collaboration Project: Pangu LLM (Ongoing), Core Participant (Technical Lead)
• 2025 National Key Lab of Intelligent Algorithm Safety Open Project (Ongoing), PI
• 2023 USTC Innovation Fund (Completed, Outstanding), PI
• 2021 The CAS Strategic Priority Research Program (Completed), Participant

Honours & Awards

• USTC “Guo Yonghuai” Scholarship ✨ (7 / university-wide, Top 0.01%)
• CAS President’s Award ✨ (University of Chinese Academy of Sciences, Top 0.1%)
• USTC “Huayu” Foundation Scholarship ✨ (10 / university-wide, Top 0.1%)
• National Scholarship ✨ (×4, 2018, 2019, 2023, 2024)
• ACM MM 2024 Grand Challenge 🏆 (1st)
• IFlyTEK Fine-Grained Recognition Challenge 🏆 (1st)
• ICCV 2023 Self-Supervised Challenge 🥈 (2nd)
• ICCV 2023 OOD-CV Challenge 🥉 (3rd)
• ECCV 2022 Google Universal Image Embedding Challenge 🥈 (2nd)
• CVPR 2023 First Foundation Model Challenge 🥉 (3rd / 5th)
• MICCAI 2023 Semi-Supervised Tooth Segmentation Challenge (5th)
• RoboCup China 🏆 (1st ×2)

Selected Publications

• CVPR (Conference) | 2026, CCF-A
  Granulon: Awakening Pixel-Level Visual Encoders with Adaptive Multi-Granularity Semantics for MLLM
  Junyuan Mao^*, Qiankun Li^*, Linghao Meng, Zhicheng He, Xinliang Zhou, Kun Wang, Yang Liu, Yueming Jin^†
• CVPR (Conference) | 2026, CCF-A
  HG-Lane: High-Fidelity Generation of Lane Scenes under Adverse Weather and Lighting Conditions without Re-annotation
  Daichao Zhao, Qiupu Chen, Feng He, Xin Ning, Qiankun Li^†
• CVPR (Conference) | 2026, CCF-A
  Mitigating Hallucination in Multimodal Reasoning via Functional Attention Control
  Haolang Lu^*, Bolun Chu^*, WeiYe Fu, Guoshun Nan^†, Junning Liu, Minghui Pan, Qiankun Li, Yi Yu, Hua Wang, Kun Wang
• CVPR (Conference) | 2026, CCF-A
  OralGPT-Omni: A Versatile Dental Multimodal Large Language Model
  Jing Hao^*, Yuci Liang^*, Lizhuo Lin^*, Yuxuan Fan, Wenkai Zhou, Kaixin Guo, Zanting Ye, Yanpeng Sun, Xinyu Zhang, Yanqi Yang, Qiankun Li, Hao Tang, James Kit-Hon Tsoi, Linlin Shen^†, Kuo Feng Hung^†
• NeurIPS (Conference) | 2025, CCF-A
  Unleashing Foundation Vision Models: Adaptive Transfer for Diverse Data-Limited Scientific Domains
  Qiankun Li^†, Feng He, Huabao Chen, Xin Ning, Kun Wang^†, Zengfu Wang^†
• NeurIPS (Conference) | 2025, CCF-A
  From Pixels to Views: Learning Angular-Aware and Physics-Consistent Representations for Light Field Microscopy
  Feng He, Tanguo Dong, Qiankun Li^†, Quan Wen^†, Jun Yu^†
• ACM MM (Conference) | 2025, Oral, CCF-A
  Progressive Large-Scale Modeling via Temporal-Spatial Focus Connector for Micro-Action Recognition
  Qiankun Li, Qiupu Chen^†, Huabao Chen, Feng He, Depeng Li, Zhigang Zeng^†
• AAAI (Conference) | 2024, CCF-A
  One Step Learning, One Step Review
  Xiaolong Huang, Qiankun Li^†, Xueran Li, Xuesong Gao
• ACM MM (Conference) | 2024, Oral, CCF-A
  Advancing Micro-Action Recognition with Multi-Auxiliary Heads and Hybrid Loss Optimization
  Qiankun Li, Xiaolong Huang, Huabao Chen, Feng He, Qiupu Chen, Zengfu Wang^†
• ACM MM (Conference) | 2023, CCF-A
  Data-Efficient Masked Video Modeling for Self-supervised Action Recognition
  Qiankun Li, Xiaolong Huang, Zhifan Wan, Lanqing Hu, Shuzhe Wu, Jie Zhang, Shiguang Shan, Zengfu Wang^†
• BIBM (Conference) | 2023, Oral, CCF-B
  PnP-AE: A Plug-and-Play Module for Volumetric Medical Image Segmentation
  Qiankun Li, Bo Fang, Yani Zhang, Yongyong Chen, Junxin Chen^†
• CVPR (Conference) | 2023, workshop
  Enhancing Comprehension and Perception in Traffic Scenarios via Task Decoupling and Large Models
  Xiaolong Huang, Qiankun Li^†
• ECCV (Conference) | 2022, workshop, Oral
  Runner-up Place Solution to Google Universal Image Embedding
  Xiaolong Huang, Qiankun Li^†
• MICCAI (Conference) | 2024, workshop, CCF-B
  Semi-Supervised 3D Tooth Segmentation Using nn-UNet with Axial Attention and Positional Correction
  Qiupu Chen, Yimou Wang, Jun Xu, Qiankun Li^†
• ACM MM (Conference) | 2023, workshop, Oral, Best Student Paper Award
  Mitigating Context Bias in Action Recognition via Skeleton-Dominated Two-Stream Network
  Qiankun Li, Xiaolong Huang, Yuwen Luo, Xiaoyu Hu, Xinyu Sun, Zengfu Wang^†
• IEEE Transactions on Fuzzy Systems (T-FS, Journal) | 2024, IEEE Trans SCI, IF-11.9, JCR Q1
  Fuzzy-ViT: A Deep Neuro-Fuzzy System for Cross-Domain Transfer Learning from Large-scale General Data to Medical Image
  Qiankun Li, Yimou Wang, Yani Zhang, Zhaoyu Zuo, Junxin Chen^†, Wei Wang
• IEEE Transactions on Intelligent Transportation Systems (T-ITS, Journal) | 2023, IEEE Trans SCI, IF-8.5, JCR Q1
  PGA-Net: Polynomial Global Attention Network with Mean Curvature Loss for Lane Detection
  Qiankun Li, Xianwang Yu, Junxin Chen^†, Ben-Guo He, Wei Wang, Danda B. Rawat, Zhihan Lyu
• IEEE Journal of Biomedical and Health Informatics (JBHI, Journal) | 2023, IEEE SCI, IF-7.7, JCR Q1
  Embracing Large Natural Data: Enhancing Medical Image Analysis via Cross-domain Fine-tuning
  Qiankun Li, Xiaolong Huang, Bo Fang, Huabao Chen, Siyuan Ding, Xu Liu^†
• Information Fusion (INFFUS, Journal) | 2025, SCI, IF-15.7, JCR Q1
  Oral Multi-Pathology Segmentation with Lead-Assisting Backbone Attention Network and Synthetic Data Generation
  Qiankun Li, Huabao Chen, Xiaolong Huang, Mengting He, Xin Ning^*, Gang Wang, Feng He
• Pattern Recognition (PR, Journal) | 2025, SCI, IF-8.0, JCR Q1
  Empowering 2D Neural Network for 3D Medical Image Segmentation via Neighborhood Information Fusion
  Qiankun Li, Xiaolong Huang, Yani Zhang, Bo Fang, Duo Hong, Junxin Chen
• Information Fusion (INFFUS, Journal) | 2025, SCI, IF-15.7, JCR Q1
  BeautyDiffusion: Generative Latent Decomposition for Makeup Transfer via Diffusion Models
  Feng He, Hanlin Li, Xin Ning^†, Qiankun Li^†
• Engineering Applications of Artificial Intelligence (EAAI, Journal) | 2024, SCI, IF-7.5, JCR Q1
  Decoding text from electroencephalography signals: A novel Hierarchical Gated Recurrent Unit with Masked Residual Attention Mechanism
  Qiupu Chen, Yimou Wang Li, Fenmei Wang, Duolin Sun, Qiankun Li^†
• Journal of Translational Medicine (J Transl Med, Journal) | 2024, JCR JCR Q1, SCI, IF-7.4, JCR Q1
  Machine Learning Based Predictive Modeling and Risk Factors for Prolonged SARS-CoV-2 Shedding
  Yani Zhang^*, Qiankun Li^*, Haijun Duan, Liang Tan, Ying Cao, Junxin Chen^†
• Neural Networks (NN, Journal) | 2025, SCI, IF-6.1, JCR Q1
  Advancing Oral Leukoplakia Progression Recognition: A benchmark with Dataset, Method, and Application
  Linfei Feng^*, Qiankun Li^*,†, Hao Wang, Xuanyu Li, Fei Xie, Feng He, Xin Ning, Prayag Tiwari, Jun Hou