◎研究方向 研究方向为计算机视觉、多模态学习、具身智能。计算机视觉侧重于标注受限下的图像分割问题，如弱监督/半监督分割、少样本分割、显著性检测及视频处理等相关方向，以及在医学领域的相关应用。多模态学习侧重于计算高效的多模态大模型研究，具身智能主要聚焦面向四足机器人的VLA模型。
个人学术主页：https://zbf1991.github.io/
◎教育经历 2018.11-2022.07 利物浦大学 电气与电子工程 博士 2015.06-2016.11 南安普顿大学 系统、控制与信号处理 硕士 2011.09-2015.06 太阳成集团 电子信息工程 本科
◎工作经历 2017.03-2018.05 海信集团 智慧城市研发 2022.09-至今 官方网站|www.tyc33455cc.com-太阳成(集团)有限公司
◎学术兼职 1. 山东省人工智能学会理事 2. IEEE SMC Society感知计算技术委员会委员 3. TPAMI、IJCV、TIP、TNNLS、IEEE TMM、IEEE TCSVT、AAAI、CVPR、ICCV、ECCV等多个Top期刊和会议审稿人。
◎主讲课程 1. 《现代数字图像处理》 2. 《数字图像处理》
◎指导研究生及博士后 1. 指导硕士研究生10余人，博士生2人
◎承担项目 1. 国家自然科学基金青年基金项目，语义扩散驱动的弱监督语义分割，2024.01-2026.12，主持； 2. 山东省自然科学基金青年基金项目，基于注意力模型重激活机制的弱监督语义分割，主持； 3. 青岛市博士后资助项目，基于深度互学习的鲁棒性语义分割网络，2023.03-2024.09，主持； 4. 青岛市自然科学基金重点项目，基于跨模态VLA模型的具身智能算法研究及应用，2025-2027，参与；
◎获奖情况 1. 2025年山东省人工智能科学技术奖自然科学二等奖（1/6） 2. 2024年江苏省计算机学会自然科学三等奖（2/4）
◎荣誉称号 1. 山东省泰山学者青年专家
◎著作
◎论文 1. Journal: [1]Bingfeng Zhang, Jimin Xiao, Jianbo Jiao*, Yunchao Wei, and Yao Zhao. "Frozen CLIP-DINO: A Strong Backbone for Weakly Supervised Semantic Segmentation." IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025. (CCF-A 类，中科院一区 top，IF: 20.4) [2]Hanyang Chi, Mengyu Liu, Jin Wang, Xuru Gao, Guixun Luo, Bingfeng Zhang*, and Weifeng Liu. "Cross-Hierarchical Decoding with SAM for Semi-Supervised Medical Image Segmentation." IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2025. (通讯作者，CCF-B 类，中科院一区，IF: 11.1) [3]Jin Wang, Bingfeng Zhang*, Jian Pang, Weifeng Liu*, Baodi Liu, and Honglong Chen. "Unbiased Semantic Decoding With Vision Foundation Models for Few-Shot Segmentation." IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2025. (通讯作者，CCF-B 类，中科院一区，IF: 8.9) [4]Bingfeng Zhang, Jimin Xiao*, Yunchao Wei, Kaizhu Huang, Shan Luo, and Yao Zhao. "Dynamic Feature Regularized Loss for Weakly Supervised Semantic Segmentation." Pattern Recognition (PR), 2025. (CCF-B 类，中科院一区，IF: 8.0) [5]Wanqi He, Bingfeng Zhang*, Jian Pang, Weifeng Liu, Baodi Liu, and Honglong Chen. "Balancing semantic and structural decoding for fMRI-to-image reconstruction." Expert Systems with Applications (ESWA), 2025. (通讯作者，SCI 一区，IF: 7.5) [6]Bingfeng Zhang, Xuru Gao, Siyue Yu, Weifeng Liu*. "Enhanced online CAM: Single-stage weakly supervised semantic segmentation via collaborative guidance." Pattern Recognition (PR), 2024. (CCF-B 类，中科院一区，IF: 8.0) [7]Bingfeng Zhang, Jimin Xiao*, Yunchao Wei, Yao Zhao. "Credible dual-expert learning for weakly supervised semantic segmentation." International Journal of Computer Vision (IJCV), 2023. (CCF-A 类，IF: 9.1) [8]Bingfeng Zhang, Jimin Xiao*, Jianbo Jiao, Yunchao Wei, and Yao Zhao. "Affinity attention graph neural network for weakly supervised semantic segmentation." IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022. (第一作者，CCF-A 类，中科院一区 top，IF: 20.4) [9]Bingfeng Zhang, Jimin Xiao*, Yunchao Wei, Kaizhu Huang, Shan Luo, and Yao Zhao. "End-to-end weakly supervised semantic segmentation with reliable region mining." Pattern Recognition (PR), 2022. (CCF-B 类，中科院一区，IF: 8.0) 2. Conference: [1]Bingfeng Zhang, Siyue Yu*, Hui Li*, Jiahua Lin, Wenwu Wang, and Jimin Xiao. "The Power of Prior: Training-Free Open-Vocabulary Semantic Segmentation with LLaVA." In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026. (CCF-A 类) [2]Liheng Zhang, Jin Wang, Hui Li, Bingfeng Zhang*, Weifeng Liu. "HCC-3D: Hierarchical Compensatory Compression for 98% 3D Token Reduction in Vision-Language Models." In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2026. (通讯作者，CCF-A 类) [3]Hao Tang, Siyue Yu, Jian Pang, and Bingfeng Zhang*. "A Training-free Synthetic Data Selection Method for Semantic Segmentation." In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2025. (通讯作者，CCF-A 类) [4]Bingfeng Zhang, Siyue Yu, Yunchao Wei, Yao Zhao, and Jimin Xiao*. "Frozen CLIP: A Strong Backbone for Weakly Supervised Semantic Segmentation." In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 4090-4099. 2024. (CCF-A 类) [5]Hanyang Chi, Jian Pang, Bingfeng Zhang*, and Weifeng Liu. "Adaptive Bidirectional Displacement for Semi-Supervised Medical Image Segmentation." In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 4080-4089. 2024. (通讯作者，CCF-A 类) [6]Jin Wang, Bingfeng Zhang, Jian Pang, Honglong Chen, Weifeng Liu. "Rethinking prior information generation with clip for few-shot segmentation." In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024. (通讯作者，CCF-A 类) [7]Bingfeng Zhang, Siyue Yu, Xuru Gao, Mingjie Sun, Eng Gee Lim, Jimin Xiao. "Adversarial erasing transformer for weakly supervised semantic segmentation." In Proceedings of the European Conference on Artificial Intelligence (ECAI), 2024. (Oral, CCF-B 类) [8]Bingfeng Zhang, Jimin Xiao*, and Terry Qin. "Self-guided and cross-guided learning for few-shot segmentation." In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 8312-8321. 2021. (CCF-A 类) [9]Bingfeng Zhang, Jimin Xiao*, Yunchao Wei, Mingjie Sun, and Kaizhu Huang. "Reliability does matter: An end-to-end weakly supervised semantic segmentation approach." In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), vol. 34, no. 07, pp. 12765-12772. 2020. (Spotlight, CCF-A 类)
◎专利 [1]张冰峰; 刘伟锋; 王进; 一种自补偿学习的小样本图像分割方法, ZL202311015219.4 [2]秦应化; 张冰峰; 何进; 肖继民; 一种基于卷积神经网络的不均衡缺陷样本的检测方法, ZL202010939183.9 [3]孙铭杰; 姚思玥; 俞思悦; 张冰峰; 何红亮; 一种异常图像生成方法及装置, ZL202410333045.4 [4]孙铭杰; 吴俊劼; 陆圣杰; 俞思悦; 张冰峰; 一种多模态的情感识别方法及装置, ZL202410306278.5
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