| 2025 | AAAI | Look Inside for More: Internal Spatial Modality Perception for 3D Anomaly Detection. | Hanzhe Liang, Guoyang Xie, Chengbin Hou, Bingshu Wang, Can Gao, Jinbao Wang |
| 2025 | AAAI | Learning with Open-world Noisy Data via Class-independent Margin in Dual Representation Space. | Linchao Pan, Can Gao, Jie Zhou, Jinbao Wang |
| 2025 | IJCAI | MC3D-AD: A Unified Geometry-aware Reconstruction Model for Multi-category 3D Anomaly Detection. | Jiayi Cheng, Can Gao, Jie Zhou, Jiajun Wen, Tao Dai, Jinbao Wang |
| 2025 | IJCNN | Enhance the prior knowledge in Bayesian learning with semantic similarity for few-shot image classification. | Jingyu Chen, Jiaying Wu, Can Gao, Zheng Huang, Zhaoman Zhong, Quan Gan |
| 2025 | IJCNN | Prior Enhancement Strategy Based on MAP for Few-shot Image Classification. | Zheng Huang, Jiaying Wu, Jingyu Chen, Zhaoman Zhong, Can Gao |
| 2022 | ACL | UNIMO-2: End-to-End Unified Vision-Language Grounded Learning. | Wei Li, Can Gao, Guocheng Niu, Xinyan Xiao, Hao Liu, Jiachen Liu, Hua Wu, Haifeng Wang |
| 2021 | ACL | UNIMO: Towards Unified-Modal Understanding and Generation via Cross-Modal Contrastive Learning. | Wei Li, Can Gao, Guocheng Niu, Xinyan Xiao, Hao Liu, Jiachen Liu, Hua Wu, Haifeng Wang |
| 2021 | ISKE | Local Learning Joint with the Adaptive Graph for Subspace Representation. | Yangbo Wang, Can Gao, Jie Zhou, Zhihui Lai |
| 2020 | ACL | SKEP: Sentiment Knowledge Enhanced Pre-training for Sentiment Analysis. | Hao Tian, Can Gao, Xinyan Xiao, Hao Liu, Bolei He, Hua Wu, Haifeng Wang, Feng Wu |
| 2018 | ICPR | Feature Selection Ensemble for Symbolic Data Classification with AHP. | Meiqian Wang, Xiaodong Yue, Can Gao, Yufei Chen |
| 2013 | ICNC | Research on optimization scheme of regression testing. | Shiming Sun, Xiuping Hou, Can Gao, Linlin Sun |
| 2009 | GRC | Maximum condition entropy based attribute reduction in variable precision rough set model. | Can Gao, Duoqian Miao, Jie Zhou |