Conference：

[11] 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

[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. Proceedings of the 28th ACM International Conference on Multimedia (ACM MM), 2024.

[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 International Conference on Multimedia (ACM MM). 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] 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)

[1] 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)

英文期刊：

[17] 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]

[16] 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)

[15] 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,   2024, 21 (1), 488-501.

[14] 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

[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, 62: 5702212.

[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. 

[0] Yifan Wang, Hisao Ishibuchi, Witold Pedrycz, Jihua Zhu, Xiangyong Cao, Jun Wang. Convolutional Fuzzy Neural Networks With Random Weights for Image Classification. IEEE Transactions on Emerging Topics in Computational Intelligence, 2024, 8(5):3279 - 3293.

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.