Conference：

[11] Han Jiang, Haoyu Tang*, Ming Yan, Ji Zhang, Mingzhu Xu, Yupeng Hu, Jihua Zhu*, Liqiang Nie. Revisiting Unsupervised Temporal Action Localization: The Primacy of High-Quality Actionness and Pseudolabels. Proceedings of the 28th ACM International Conference on Multimedia (ACM MM), 2024.

[10] Jinqian Chen, Jihua Zhu*, Qinghai Zheng, Zhongyu Li, Zhiqiang Tian. Watch Your Head: Assembling Projection Heads to Save the Reliability of Federated Models. The 35th AAAI Conf. on Artificial Intelligence(AAAI), 2024 (CCF A)

[9] Yifei Wang, Jihua Zhu*, Yiyang Zhou, Wenbiao Zhou, Zhiqiang Tian. Contrastive Label Enhancement. The 32nd International Joint Conference on Artificial Intelligence (IJCAI), 2023 (CCF A)

[8] Jinqian Chen, Jihua Zhu*, Qinghai Zheng. Towards Fast and Stable Federated Learning: Confronting Heterogeneity via Knowledge Anchor. ACM International Conference on Multimedia (ACM MM). 2023 (CCF A)
[7] Qinghai Zheng, Jihua Zhu*, Haoyu Tang. Label Information Bottleneck for Label Enhancement. Proc. of the IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), 2023  (CCF A)
[6] Zutao Jiang, Guangsong Lu, Xiaodan Liang, Jihua Zhu*, Wei Zhang, Xiaojun Chang, Hang Xu.  3D-TOGO: Towards Text-Guided Cross-Category 3D Object Generation. The 37th AAAI Conf. on Artificial Intelligence(AAAI), 2023. (CCF A, Oral)
[5] Haoyu Tang, Jihua Zhu*, Qinghai Zheng, et al. Label enhancement with sample correlations via low-rank representation. The 34th AAAI Conf. on Artificial Intelligence(AAAI), 2020, 5932-5939. (CCF A) [Code]

[4] Chaoyun Jiang, Shichao Sun, Jihua Zhu*, Jianguang Lou, et al. Coarse-to-Fine Generative Modeling for Graphic Layouts. The 36th AAAI Conf. on Artificial Intelligence(AAAI),  2022 (CCF A, Oral)

[3] Jihua Zhu*, Jie Hu, Huimin Lu, Badong Chen, Zhongyu Li. Robust Motion Averaging under Maximum Correntropy Criterion. Proc. of the 2021 International Conference on Robotics and Automation (ICRA), 2021.05.30-06.05. (CCF B)

[2] Zhang Chen, Zhiqiang Tian*, Jihua Zhu, Ce Li, Shaoyi Du.C-CAM: Causal CAM for Weakly Supervised Semantic Segmentation on Medical Image. Proc. of the IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), 2022: 11676-11685. (CCF A)

[1] Ruijian Jia, Xinsheng Wang, Shanmin Pang*, Jihua Zhu, Jianru Xue. Look, Listen and Infer. Proceedings of the 28th ACM International Conference on Multimedia (ACM MM), 2020: 3911-3919. (CCF A)

英文期刊：

[16] Jihua Zhu, Rui Guo，Zhongyu Li. Registration of multi-view point sets under the perspective of expectation-maximization. IEEE Trans. on Image Processing, 2020, 29, 176-189.（CCF A） [code]

[15] Jihua Zhu, Xuxiao Bu, Yujiao He, et al. Joint reason generation and rating prediction for explainable recommendation. IEEE Trans. on Knowledge and Data Engineering, 2023, 35 (5), 4940-4953. (CCF A)

[14] Jihua Zhu, Jiaxi Mu, Chaobo Yan, Di Wang, Zhongyu Li. 3DMNDT: 3D multi-view registration method based on the normal distributions transform. IEEE Transactions on Automation Science and Engineering.

[13] Yifan xie, Jihua Zhu*, Shiqi Li, Naiwen Hu, Pengcheng Shi. HECPG: Hyperbolic Embedding and Confident Patch-Guided Network for Point Cloud Matching. IEEE Transactions on Geoscience and Remote Sensing, 2024.

[12] Qinghai Zheng, Jihua Zhu*, Haoyu Tang, Xinyuan Liu, Zhongyu Li. Generalized label enhancement with sample correlations. IEEE Trans. on Knowledge and Data Engineering, 2023, 35 (1), 482-495. (CCF A) [Code] ) [入选ESI高被引]

[11] Qinghai Zheng, Jihua Zhu*, Zhongyu Li. Collaborative unsupervised multi-view representation learning. IEEE Trans. on Circuits and Systems for Video Technology, 2022, 32 (7), 4202-4210. [Code]

[10] Qinghai Zheng, Jihua Zhu*, Zhongyu Li, Hoayu Tang. Graph-guided Unsupervised Multi-view Representation Learning. IEEE Trans. on Circuits and Systems for Video Technology, 2023, 33(1): 146-159.

[9]Haozhe Cheng, Jihua Zhu*, Naiwen Hu, Jinqian Chen,Wenbiao Yan. PTM: Torus Masking for 3D Representation Learning Guided by Robust and Trusted Teachers. IEEE Trans. on Circuits and Systems for Video Technology, 2024

[8] Yifan Wang, Witold Pedrycz, Hisao Ishibuchi, Jihua Zhu*. Fusion of Explainable Deep Learning Features Using Fuzzy Integral in Computer Vision. IEEE Transactions on Fuzzy Systems, 2024.

[7] Zutao Jiang, Changlin Li, Xiaojun Chang, Ling Chen, Jihua Zhu*, Yi Yang. Dynamic Slimmable Denoising Network. IEEE Trans. on Image Processing, 2023, 32:1583-1598.

[6] Haoyu Tang, Jihua Zhu*, Lin Wang, Qinghai Zheng, Tianwei Zhang. Multi-level query interaction for temporal language grounding. IEEE Trans. on Intelligent Transportation Systems, 2022, 23 (12), 25479-25488.

[5] Haoyu Tang, Jihua Zhu, Meng Liu, Zan Gao, Zhiyong Cheng*. Frame-wise cross-modal matching for video moment retrieval. IEEE Trans. on Multimedia, 2022,  24, 1338-1349. [Code]

[4] Xinsheng Wang, Qicong Xie, Jihua Zhu*, Lei Xie*, Odette Scharenborg. AnyoneNet: Synchronized Speech and Talking Head Generation for Arbitrary Persons. IEEE Trans. on Multimedia. [Code]

[3] Xinsheng Wang, Justin Hout, Jihua Zhu*, Mark Hasegawa-Johnson, Odette Scharenborg. Synthesizing spoken descriptions of images. IEEE/ACM Trans. on Audio, Speech, and Language Processing, 2021, 29: 3242-3254. [Code]

[2] Xinsheng Wang, Tingting Qiao, Jihua Zhu*, Alan Hanjalic, Odette Scharenborg. Generating images from spoken descriptions.  IEEE/ACM Trans. on Audio, Speech, and Language Processing. 2021, 29: 850-865. [Code]

[1] Zhiyang Lin, Jihua Zhu*, Zutao Jiang, Yjie Li. Merging grid maps in different resolutions by the context-based descriptor. ACM Trans. on Internet Technology, 2021, 21 (4): 1-21.

中文期刊：

[1] 祝继华, 郑南宁, 袁泽剑, 何永健. 基于ICP算法和粒子滤波的未知环境地图创建. 自动化学报，2009, 35(8): 1107-1113.
[2] 祝继华, 郑南宁, 袁泽剑, 张强. 基于中心差分粒子滤波的SLAM算法., 自动化学报, 2010, 36(2): 249-257.    
[3] 祝继华, 杜少毅, 李钟毓, 马亮, 袁泽剑. 基于粒子滤波的部分对应点集刚体配准算法. 中国科学-信息科学，2014, 44(7): 886-899.
[4] 祝继华, 周颐, 王晓春. 基于图像配准的栅格地图拼接方法,. 自动化学报, 2015,41(2):285-29
[7] 徐思雨, 祝继华*, 田智强, 李垚辰, 庞善民.逐步求精的多视角点云配准方法. 自动化学报,2019,45(8):486-494 
[5] 李睿钰, 祝继华*,刘新媛. 考虑标记间协作的标记分布学习. 软件学报, 2022,33(2):539-554
[6] 曹容玮, 祝继华*,张长青. 双加权多视角子空间聚类方法. 软件学报, 2022,33(2):585-597 
[7] 王艺霏，祝继华*，周熠炀，刘新媛. 联合深度森林与异质集成的标记分布学习方法. 软件学报，2023