个人简介
北京交通大学计算机科学与技术学院教授,博士生导师,入选首批北京交通大学青年英才培育计划(2015-2017),获得2023年度北京图象图形学学会优秀导师提名奖。主要研究领域为多模态机器学习算法及在跨域图像语义理解中的应用。累计主持国家自然科学基金项目3项,北京市自然科学基金项目3项,教育部博士点基金1项,中国博士后科学基金特别资助项目及面上项目2项。在包括 IEEE TPAMI, IEEE TIP, IEEE TKDE, ACM TKDD, IEEE TMM, IEEE TCSVT, IEEE TCYB, IEEE TNNLS 等知名学术期刊以及 ICML, NeurIPS, ICCV, AAAI, IJCAI, ACM SIGKDD, ACM Multimedia 等知名国际会议上累计发表各类研究论文近百篇。
研究生招生与培养
(A). 本人指导研究生(近五年来) :
(B). 本人常年招收博士研究生(直博/硕博连读/申请考核:每年1名),硕士研究生(每年2-4名)!欢迎 计算机科学与技术/ 数学 / 信息与计算科学 等专业同学邮件咨询!欢迎詹天佑学院的同学们联系!
科研项目
主持多项 国家自然科学基金项目 / 北京市自然科学基金项目 / 教育部博士点基金项目 / 博士后科学基金特别资助项目 / 基本科研业务费重点项目。 部分代表性主持科研项目列表如下:
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北京市自然科学基金面上项目:2024-2026,主持(在研)
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河北省自然科学基金面上项目:2025-2027,主持(在研)
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基本科研业务费重点资助项目:2022-2025,主持(已结题)
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国家自然科学基金面上项目:2019-2022, 主持(已结题)
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北京市自然科学基金面上项目:2020-2022, 主持(已结题)
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基本科研业务费自由申报项目:2019-2021, 主持(已结题)
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国家自然科学基金面上项目:2015-2018, 主持(已结题)
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北京市自然科学基金面上项目:2016-2018, 主持(已结题)
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基本科研业务费自由申报项目:2014-2015, 主持(已结题)
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基本科研业务费自由申报项目:2012-2013, 主持(已结题)
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国家自然科学基金青年项目:2012-2014, 主持(已结题)
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教育部博士点基金新教师类项目:2012-2014, 主持(已结题)
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基本科研业务费自由申报项目:2010-2011, 主持(已结题)
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中国博士后科学基金特别资助项目:2010-2011, 主持(已结题)
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中国博士后科学基金面上资助项目:2009-2010, 主持(已结题)
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国家自然科学基金面上项目:2010-2012, 合作单位主持(已结题)
论文/期刊
(部分代表性CCF A/B类期刊会议论文, ^ 表示作者均为本人指导的研究生, * 表示本人为通讯作者)
2025:
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Jintian Ji^, Songhe Feng*. Anchors Crash Tensor: Efficient and Scalable Tensorial Multi-View Subspace Clustering. IEEE Trans. on Pattern Analysis and Machine Intelligence, 47(4), pp. 2660-2675, 2025. (CCF A类)
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Jing Wang^, Songhe Feng*, Kristoffer KnutsenWickstrom, Michael Kampffmeyer. AdaptCMVC: Robust Adaption to Incremental Views in Continual Multi-View Clustering. CVPR, 2025. (CCF A类)
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Xudong Yan^, Songhe Feng*, Yang Zhang, Jian Yang, Yueguan Lin, Haojun Fei. Leveraging MLLM Embeddings and Attribute Smoothing for Compositional Zero-Shot Learning. IJCAI, 2025. (CCF A类)
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Tingting Wu^, Zhendong Li^, Zhibin Gu^, Jiazheng Yuan, Songhe Feng*. KOALA: Kernel Coupling and Element Imputation Induced Multi-View Clustering. AAAI, 2025. (CCF A类)
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Gengyu Lyu^, Bohang Sun, Xiang Deng^, Songhe Feng*. Addressing Multi-Label Learning with Partial Labels: from Sample Selection to Label Selection. AAAI, 2025. (CCF A类)
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Gengyu Lyu^, Zhen Yang*, Xiang Deng^, Songhe Feng*. L-VSM: Label Driven View-Specific Fusion for Multi-View Multi-Label Classification. IEEE Trans. on Neural Networks and Learning Systems, 36(4), pp. 6569-6583, 2025. (CCF B类)
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Jintian Ji^, Songhe Feng*, Jie Huang, Taotao Wei, Xiang Feng, Peiwu Lv, Bing Li. Incomplete Multi-View Clustering via Efficient Anchor Tensor Recovery Framework. Neural Networks, 190(10), pp. 1-12, 2025. (CCF B类)
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Jintian Ji^, Songhe Feng*. Partition-Level Fusion Induced Multi-View Subspace Clustering with Tensorial Geman Rank. Neural Networks, 182(2), pp. 1-13, 2025. (CCF B类)
2024:
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Zhibin Gu^, Songhe Feng*. From Dictionary to Tensor: A Scalable Multi-View Subspace Clustering Framework with Triple Information Enhancement. NeurIPS, 2024. (CCF A类)
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Zhibin Gu^, Zhendong Li^, Songhe Feng*. EDISON: Enhanced Dictionary-Induced Tensorized Incomplete Multi-View Clustering with Gaussian Rank Error Minimization. ICML, 2024. (CCF A类)
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Zhibin Gu^, Zhendong Li^, Songhe Feng*. Topology-Driven Multi-View Clustering via Tensorial Refined Sigmoid Rank Minimization. ACM SIGKDD, 2024. (CCF A类)
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Jintian Ji^, Songhe Feng, Yidong Li*. Tensorized Unaligned Multi-view Clustering with Multi-scale Representation Learning. ACM SIGKDD, 2024. (CCF A类)
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Jing Wang^, Songhe Feng*. Contrastive and View-Interaction Structure Learning for Multi-View Clustering. IJCAI, 2024. (CCF A类)
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Yang Zhang^, Songhe Feng*, Jiazheng Yuan*. Continual Compositional Zero-Shot Learning. IJCAI, 2024. (CCF A类)
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Gengyu Lyu^, Weiqi Kang, Haobo Wang, Zheng Li, Zhen Yang*, Songhe Feng*. Common-Individual Semantic Fusion for Multi-View Multi-Label Learning. IJCAI, 2024. (CCF A类)
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Yanan Wu^, Zhixiang Chi+, Yang Wang, Konstantinos Plataniotis, Songhe Feng*. Test-Time Domain Adaptation By Learning Domain-Aware Batch Normalization. AAAI, 2024. (CCF A类, Oral)
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Tingting Wu^, Songhe Feng*, Jiazheng Yuan*. Low-rank Kernel Tensor Learning for Incomplete Multi-View Clustering. AAAI, 2024. (CCF A类)
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Jing Wang^, Songhe Feng*, Gengyu Lyu, Jiazheng Yuan. SURER: Structure-Adaptive Unified Graph Neural Network for Multi-View Clustering. AAAI, 2024. (CCF A类)
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Yanan Wu^, Songhe Feng*, Gongpei Zhao, Yi Jin. Transformer Driven Matching Selection Mechanism for Multi-label Image Classification. IEEE Trans. on Circuits and Systems for Video Technology, 34(2), pp. 924-939, 2024. (CCF B类)
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Zhibin Gu^, Songhe Feng*, Zhendong Li, Jiazheng Yuan*, Jun Liu. NOODLE: Joint Cross-View Discrepancy Discovery and High-Order Correlation Detection for Multi-View Subspace Clustering. ACM Trans. on Knowledge Discovery from Data, 18(6), 151:1-23, 2024. (CCF B类)
2023:
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Bing Li, Haina Qin, Weihua Xiong, Yangxi Li, Songhe Feng, Weiming Hu*, Steven Maybank. Ranking-based Color Constancy with Limited Training Samples. IEEE Trans. on Pattern Analysis and Machine Intelligence, 45(10), pp. 12304-12320, 2023. (CCF A类)
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Jintian Ji^, Songhe Feng*. Anchor Structure Regularization Induced Multi-View Subspace Clustering via Enhanced Tensor Rank Minimization. ICCV, 2023. (CCF A类)
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