| 2026 | AAAI | Bridging Modalities via Progressive Re-alignment for Multimodal Test-Time Adaptation. | Jiacheng Li, Songhe Feng |
| 2026 | AAAI | Dual Graph Disambiguation for Multi-Instance Partial-Label Learning. | Zhen Zhu, Kai Tang, Songhe Feng, Yixuan Tang, Haobo Wang, Gengyu Lyu, Cheng Peng, Yining Sun |
| 2025 | AAAI | Addressing Multi-Label Learning with Partial Labels: From Sample Selection to Label Selection. | Gengyu Lyu, Bohang Sun, Xiang Deng, Songhe Feng |
| 2025 | AAAI | KOALA: Kernel Coupling and Element Imputation Induced Multi-View Clustering. | Tingting Wu, Zhendong Li, Zhibin Gu, Jiazheng Yuan, Songhe Feng |
| 2025 | CVPR | AdaptCMVC: Robust Adaption to Incremental Views in Continual Multi-view Clustering. | Jing Wang, Songhe Feng, Kristoffer Knutsen Wickstrm, Michael C. Kampffmeyer |
| 2025 | IJCAI | Leveraging MLLM Embeddings and Attribute Smoothing for Compositional Zero-Shot Learning. | Xudong Yan, Songhe Feng, Yang Zhang, Jian Yang, Yueguan Lin, Haojun Fei |
| 2024 | AAAI | SURER: Structure-Adaptive Unified Graph Neural Network for Multi-View Clustering. | Jing Wang, Songhe Feng, Gengyu Lyu, Jiazheng Yuan |
| 2024 | AAAI | Test-Time Domain Adaptation by Learning Domain-Aware Batch Normalization. | Yanan Wu, Zhixiang Chi, Yang Wang, Konstantinos N. Plataniotis, Songhe Feng |
| 2024 | AAAI | Low-Rank Kernel Tensor Learning for Incomplete Multi-View Clustering. | Tingting Wu, Songhe Feng, Jiazheng Yuan |
| 2024 | ICML | EDISON: Enhanced Dictionary-Induced Tensorized Incomplete Multi-View Clustering with Gaussian Error Rank Minimization. | Zhibin Gu, Zhendong Li, Songhe Feng |
| 2024 | IJCAI | Common-Individual Semantic Fusion for Multi-View Multi-Label Learning. | Gengyu Lyu, Weiqi Kang, Haobo Wang, Zheng Li, Zhen Yang, Songhe Feng |
| 2024 | IJCAI | Contrastive and View-Interaction Structure Learning for Multi-view Clustering. | Jing Wang, Songhe Feng |
| 2024 | IJCAI | Continual Compositional Zero-Shot Learning. | Yang Zhang, Songhe Feng, Jiazheng Yuan |
| 2024 | KDD | Topology-Driven Multi-View Clustering via Tensorial Refined Sigmoid Rank Minimization. | Zhibin Gu, Zhendong Li, Songhe Feng |
| 2024 | KDD | Tensorized Unaligned Multi-view Clustering with Multi-scale Representation Learning. | Jintian Ji, Songhe Feng, Yidong Li |
| 2024 | SMC | Enhancing Point Cloud Sampling Quality with Dual-Branch Fusion Networks. | Yi Jin, Xu Wang, Mengxia Hu, Hui Yu, Yidong Li, Tao Wang, Songhe Feng, Congyan Lang |
| 2023 | AAAI | MetaZSCIL: A Meta-Learning Approach for Generalized Zero-Shot Class Incremental Learning. | Yanan Wu, Tengfei Liang, Songhe Feng, Yi Jin, Gengyu Lyu, Haojun Fei, Yang Wang |
| 2023 | ICCV | Anchor Structure Regularization Induced Multi-view Subspace Clustering via Enhanced Tensor Rank Minimization. | Jintian Ji, Songhe Feng |
| 2023 | ICCV | MetaGCD: Learning to Continually Learn in Generalized Category Discovery. | Yanan Wu, Zhixiang Chi, Yang Wang, Songhe Feng |
| 2023 | IJCAI | Deep Partial Multi-Label Learning with Graph Disambiguation. | Haobo Wang, Shisong Yang, Gengyu Lyu, Weiwei Liu, Tianlei Hu, Ke Chen, Songhe Feng, Gang Chen |
| 2022 | AAAI | Beyond Shared Subspace: A View-Specific Fusion for Multi-View Multi-Label Learning. | Gengyu Lyu, Xiang Deng, Yanan Wu, Songhe Feng |
| 2022 | IJCAI | Deep Graph Matching for Partial Label Learning. | Gengyu Lyu, Yanan Wu, Songhe Feng |
| 2022 | MMSP | Task Adaptive Modeling for Few-shot Action Recognition. | Jiayi Wang, Yi Jin, Songhe Feng, Yidong Li |
| 2021 | IJCAI | GM-MLIC: Graph Matching based Multi-Label Image Classification. | Yanan Wu, He Liu, Songhe Feng, Yi Jin, Gengyu Lyu, Zizhang Wu |
| 2020 | IJCAI | Partial Multi-Label Learning via Multi-Subspace Representation. | Ziwei Li, Gengyu Lyu, Songhe Feng |
| 2020 | ICPR | HSS-GCN: A Hierarchical Spatial Structural Graph Convolutional Network for Vehicle Re-identification. | Zheming Xu, Lili Wei, Congyan Lang, Songhe Feng, Tao Wang, Adrian G. Bors |
| 2020 | KDD | Partial Multi-Label Learning via Probabilistic Graph Matching Mechanism. | Gengyu Lyu, Songhe Feng, Yidong Li |
| 2019 | AAAI | Partial Multi-Label Learning by Low-Rank and Sparse Decomposition. | Lijuan Sun, Songhe Feng, Tao Wang, Congyan Lang, Yi Jin |
| 2019 | ICCV | Deformable Surface Tracking by Graph Matching. | Tao Wang, Haibin Ling, Congyan Lang, Songhe Feng, Xiaohui Hou |
| 2019 | PAKDD | Robust Semi-supervised Multi-label Learning by Triple Low-Rank Regularization. | Lijuan Sun, Songhe Feng, Gengyu Lyu, Congyan Lang |
| 2019 | PRICAI | MFAD: A Multi-modality Face Anti-spoofing Dataset. | Bingqian Geng, Congyan Lang, Junliang Xing, Songhe Feng, Jun Wu |
| 2018 | ICRA | Constrained Confidence Matching for Planar Object Tracking. | Tao Wang, Haibin Ling, Congyan Lang, Songhe Feng, Yi Jin, Yidong Li |
| 2018 | VCIP | Hierarchical Discriminant Feature Learning for Heterogeneous Face Recognition. | Xiaolin Xu, Yidong Li, Yi Jin, Congyan Lang, Songhe Feng, Tao Wang |
| 2017 | ICCV | Robust Object Tracking Based on Temporal and Spatial Deep Networks. | Zhu Teng, Junliang Xing, Qiang Wang, Congyan Lang, Songhe Feng, Yi Jin |
| 2014 | ECCV | Image Tag Completion by Noisy Matrix Recovery. | Zheyun Feng, Songhe Feng, Rong Jin, Anil K. Jain |
| 2014 | PAKDD | Joint Tree of Combinatorial Maps. | Tao Wang, Congyan Lang, Songhe Feng |
| 2013 | MMM | Contextualizing Tag Ranking and Saliency Detection for Social Images. | Wen Wang, Congyan Lang, Songhe Feng |
| 2013 | PAKDD | A Self-immunizing Manifold Ranking for Image Retrieval. | Jun Wu, Yidong Li, Songhe Feng, Hong Shen |
| 2013 | VCIP | A novel image tag saliency ranking algorithm based on sparse representation. | Caixia Wang, Zehai Song, Songhe Feng, Congyan Lang, Shuicheng Yan |
| 2011 | ICIG | Supervised Sparse Patch Coding towards Misalignment-Robust Face Recognition. | Congyan Lang, Bin Cheng, Songhe Feng, Xiao-Tong Yuan |
| 2009 | SMC | Salient region extraction based on Intensity Mapping for image retrieval. | Congyan Lang, De Xu, Ning Li, Songhe Feng |
| 2007 | MMM | Visual Perception Theory Guided Depth Motion Estimation. | Bing Li, De Xu, Songhe Feng, Fangshi Wang |
| 2006 | ICNC | Locating Salient Edges for CBIR Based on Visual Attention Model. | Songhe Feng, De Xu |
| 2006 | ISNN | A Novel Graph Kernel Based SVM Algorithm for Image Semantic Retrieval. | Songhe Feng, De Xu, Xu Yang, Yuliang Geng |
| 2006 | ISNN | Two Important Action Scenes Detection Based on Probability Neural Networks. | Yuliang Geng, De Xu, Jia-Zheng Yuan, Songhe Feng |
| 2006 | SSPR | Hierarchical Video Summarization Based on Video Structure and Highlight. | Yuliang Geng, De Xu, Songhe Feng |
| 2006 | SSPR | A Robust and Hierarchical Approach for Camera Motion Classification. | Yuliang Geng, De Xu, Songhe Feng, Jia-Zheng Yuan |
| 2005 | ACIVS | A Novel Region-Based Image Retrieval Algorithm Using Selective Visual Attention Model. | Songhe Feng, De Xu, Xu Yang, Aimin Wu |