Bing Ji, born April 1983. Professor and Doctoral Supervisor at the School of Control Science and Engineering, Shandong University. Distinguished 

Expert of the Taishan Scholars Program of Shandong Province. His research focuses on medical artificial intelligence and intelligent robotics.

He has led 7 funded projects, including the National Key Research and Development Program, the National Natural Science Foundation of 

China (NSFC), the Science and Technology Commission of the Central Military Commission, and the Major Innovation Projects of Shandong Province,

 with cumulative research funding exceeding RMB 12 million. 

He has published over 60 SCI-indexed papers in top-tier journals and conferences such as TMI, TCSVT, TNNLS, Information Fusion, AAAI, CVPR, ECCV, and MICCAI; holds 5 international invention patents and 20 Chinese invention patents; and, as the first contributor, has been awarded a Second Prize of the Shandong Provincial Technological Invention Award, a Second Prize of the Scientific and Technological Progress Award from the Chinese Association of Automation, and a First Prize of the Shandong Medical Science and Technology Award, while as the second contributor, he has received a Second Prize of the Shandong Provincial Scientific and Technological Progress Award.

 Academic Affiliations

        1.Secretary-General, Technical Committee on Dynamic Learning and Intelligent Medicine, Chinese Association of Automation

       2.Deputy Secretary-General, 2017 Chinese Automation Congress (CAC) & China International Intelligent Manufacturing Conference

       3.Executive Director, Precision Medicine Branch, National Health Industry Enterprise Management Association

       4.Vice President, Translational Medicine Branch, Shandong Medical Ethics Society

       5.Editor-in-Chief of FIMH; Editorial Board Member of Scientific Reports; Young Editorial Board Member of Biomedical Engineering Communications and Biomimetic Intelligence and Robotics

Selected Publications

  1.Corresponding Author. "EviVLM: When Evidential Learning Meets Vision Language Model for Medical Image Segmentation." IEEE Transactions on Medical Imaging, 2026, 45(4): 1369–1382. (IF: 12.4)

 2.Corresponding Author. "AMVLM: Alignment-Multiplicity Aware Vision-Language Model for Semi-Supervised Medical Image Segmentation." IEEE Transactions on Medical Imaging, 2025, 44(11): 4307–4322. (IF: 12.4)

     3.Corresponding Author. "ICMIL: An Interactive Contrastive Multiple Instance Learning Framework Using Foundation Model Features for Histopathology Image Classification." IEEE Transactions on Circuits and Systems for Video Technology, 2026, Accepted for Publication. (IF: 10.80)

 4.First Author. "Detection of Cervical Spondylotic Myelopathy Based on Gait Analysis and Deterministic Learning." Artificial Intelligence Review, 2023. (IF: 12.00)

 5.Co-Corresponding Author. "GLIR-GaitNet: Global-Local Interaction Rebalancing Network for Gait-Based Disease Diagnosis." Information Fusion, 2025. (IF: 17.4)

 6. Corresponding Author. "A Mixed Dual-Branch Network for Detecting Cervical Spondylotic Myelopathy and Parkinsonian Syndromes via Gait Analysis." IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2026, 34: 776–787. (IF: 6.6)

 7. Corresponding Author. "DuSSS: Dual Semantic Similarity-Supervised Vision-Language Model for Semi-Supervised Medical Image Segmentation." AAAI, 2025, 39(6): 6299–6307. (Top conference in AI)

 8.Corresponding Author. "PCR-MIL: Phenotype Clustering Reinforced Multiple Instance Learning for Whole Slide Image Classification." MICCAI, 2025, 15767: 395–404. (Top conference in medical image processing, CCF-B)

 9.Co-Corresponding Author. "CPS: Class Prompt Driven Semi-Supervised Spine Segmentation with Class-Specific Consistency Constraint." MICCAI, 2026. (Top conference in medical image processing, CCF-B)

 10.Corresponding Author. "ELDiff: When Evidential Learning Meets Text-to-Image Diffusion." ECCV, 2026, 34: 776–787. (Top conference in computer vision, CCF-B)