谷歌学术

英文期刊：

[7] 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]

[6] 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)

[5] Jihua Zhu, Jiaxi Mu, Chaobo Yan, Di Wang, Zhongyu Li. 3DMNDT: 3D multi-view registration method based on the normal distributions transform. IEEE Trans. on Automation Science and Engineering,   2024, 21 (1), 488-501. 

[4]Qinghai Zheng, Jihua Zhu*, Yuanlong Yu, Haoyu Tang. From One Comes Two: A Tensorized Graph Learning Framework for Clustering. IEEE Trans. on Knowledge and Data Engineering, 2025 (Online)

[3] Xinyuan Liu, Jihua Zhu*, Kun Yue, Qinghai Zheng, Zhongyu Li, Zhiqiang Tian, Mingchen Zhu. Causal Label Enhancement. IEEE Trans. on Knowledge and Data Engineering, 2025, 37(7):  3933 - 3946.

[2] 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]

[1] 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.

英文会议：

[12] Xiongwen Deng, Haoyu Tang*, Han Jiang, Qinghai Zheng, Jihua Zhu*. Boundary-aware Temporal Dynamic Pseudo-supervision pairs Generation for Zero-shot Natural Language Video Localization. The 39th Annual AAAI Conference on Artificial Intelligence (AAAI), 2025. (CCF A)

[11] Xiaoxuan Mu, Haoyu Tang, Han Jiang, Tianyuan Liang, Qinghai Zheng, Jihua Zhu*.  FACE: A Dual-Template and Adaptive Curriculum Framework for Unsupervised Text-Based Person Search. ACM Multimedia 2025. (CCF A)

[10] 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. ACM Multimedia 2024. (CCF A)

[9] Jinqian Chen, Jihua Zhu*, Qinghai Zheng, Zhongyu Li, Zhiqiang Tian. Watch Your Head: Assembling Projection Heads to Save the Reliability of Federated Models. The 38th AAAI Conf. on Artificial Intelligence(AAAI), 2024 (CCF A)

[8] 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)

[7] Jinqian Chen, Jihua Zhu*, Qinghai Zheng. Towards Fast and Stable Federated Learning: Confronting Heterogeneity via Knowledge Anchor. ACM Multimedia . 2023 (CCF A)
[6] 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)
[5] 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)
[4] 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]

[3] 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)

[2] Shiqi Li, Jihua Zhu* , Yifan Xie, Naiwen Hu,, Mingchen Zhu, Zhongyu Li, Di Wang, Huimin Lu. Multiple Rotation Averaging with Constrained Reweighting Deep Matrix Factorization. The 2021 International Conference on Robotics and Automation (ICRA), 2025 (Oral).

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

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
[5] 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 
[6] 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
[7] 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 
[8] 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，2024, 35(7):3410-3427.

[9] 程浩喆，祝继华*，史鹏程，胡乃文，谢奕凡，李仕奇. 基于双向拟合掩码重建的多模态自监督点云表示学习. 软件学报，2024.