会议：
1. Jianqing Zhang, Yang Hua, Jian Cao, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan. Eliminating Domain Bias for Federated Learning in Representation Space. NeurIPS, 2023. (CCF A类)
2. Chumeng Liang, Xiaoyu Wu, Yang Hua, Jiaru Zhang, Yiming Xue, Tao Song, Zhengui Xue, Ruhui Ma, and Haibing Guan. Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples. ICML, 2023. (CCF A类, 通讯作者)
3. Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Jian Cao, and Haibing Guan. "GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning." ICCV, 2023. (CCF A类)
4. Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, and Haibing Guan. Fedcp: Separating Feature Information for Personalized Federated Learning Via Conditional Policy. ACM SIGKDD, 2023. (CCF A类)
5. Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, and Haibing Guan. FedALA: Adaptive Local Aggregation for Personalized Federated Learning. AAAI, 2023. (CCF A类)
6. Jiaru Zhang, Yang Hua, Tao Song, Hao Wang, Zhengui Xue, Ruhui Ma, and Haibing Guan. Information Bound and its Applications in Bayesian Neural Networks. ECAI, 2023. (CCF B类)
7. Rui Zhang, Yang Hua, Tao Song, Zhengui Xue, Ruhui Ma, and Haibing Guan. Online Residual-Based Key Frame Sampling with Self-Coach Mechanism and Adaptive Multi-Level Feature Fusion. ICASSP, 2023. (CCF B类)
8. Jiaru Zhang, Yang Hua, Tao Song, Hao Wang, Zhengui Xue, Ruhui Ma, and Haibing Guan. Improving Bayesian Neural Networks by Adversarial Sampling. AAAI, 2022. (CCF A类)
9. Jiaru Zhang, Yang Hua, Zhengui Xue, Tao Song, Chengyu Zheng, Ruhui Ma, Haibing Guan. Robust Bayesian Neural Networks by Spectral Expectation Bound Regularization. CVPR, 2021.（CCF A 类, 通讯作者）
10. Zinuo Cai, Jianyong Yuan, Yang Hua, Tao Song, Hao Wang, Zhengui Xue, Ningxin Hu, Jonathan Ding, Ruhui Ma, Mohammad Reza Haghighat, and Haibing Guan. Themis: A Fair Evaluation Platform for Computer Vision Competitions. IJCAI, 2021. (CCF A类，通讯作者)
11. Yuxin Ma, Yang Hua, Hanming Deng, Tao Song, Hao Wang, Zhengui Xue, Heng Cao, Ruhui Ma, and Haibing Guan. Self-supervised vessel segmentation via adversarial learning. ICCV, 2021. (CCF A类)
12. Hanxi Guo, Hao Wang, Tao Song, Yang Hua, Zhangcheng Lv, Xiulang Jin, Zhengui Xue, Ruhui Ma, and Haibing Guan. Siren: Byzantine-robust Federated Learning via Proactive Alarming. SoCC, 2021. (CCF B类)
13. Chaoyi Wang, Yang Hua, Tao Song, Zhengui Xue, Ruhui Ma, Neil Robertson, and Haibing Guan. Fine-Grained Pose Temporal Memory Module for Video Pose Estimation and Tracking. ICASSP, 2021. (CCF B类 通讯作者)
14. Hanming Deng, Yang Hua, Tao Song, Zhengui Xue, Ruhui Ma, Neil Robertson, Haibing Guan. Reinforcing Neural Network Stability with Attractor Dynamics, AAAI, 2020.（CCF A 类, 通讯作者）
15. Xufeng He, Yang Hua, Tao Song, Zongpu Zhang, Zhengui Xue, Ruhui Ma, Neil Robertson, Haibing Guan. Unsupervised Video Summarization with Attentive Conditional Generative Adversarial Networks. ACM Multimedia, October 19, 2019. (CCF A 类, 通讯作者)
16. Hanming Deng, Yang Hua, Tao Song, Zongpu Zhang, Zhengui Xue, Ruhui Ma, Neil Robertson, Haibing Guan. Object Guided External Memory Network for Video Object Detection. ICCV, October 27, 2019.（CCF A 类）
17. Zongpu Zhang, Yang Hua, Tao Song, Zhengui Xue, Ruhui Ma, Neil Robertson, Haibing Guan. Trackingassisted Weakly Supervised Online Visual Object Segmentation in Unconstrained Videos. ACM Multimedia, 2018.（CCF A 类, 通讯作者）
18. Zhouwang Fu, Tao Song, Zhengwei Qi, Haibing Guan. Efficient shuffle management with SCache for DAG computing frameworks. In Proceedings of the 23rd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2018.（CCF A 类）
19. Shuo Wang, Yang Hua, Yunyun Cao, Tao Song, Zhengui Xue, Xiaoping Gong, Guanjie Wang, Ruhui Ma, and Haibing Guan. Deep Learning Based Fetal Middle Cerebral Artery Segmentation in Large-Scale Ultrasound Images. BIBM, 2018. (CCF B类 通讯作者)
期刊：
1. Rui Zhang, Shuo Wang, Ruhui Ma, Yang Hua, Tao Song, Yunyun Cao, and Haibing Guan. MCAS-GP: Deep Learning-Empowered Middle Cerebral Artery Segmentation and Gate Proposition. IEEE/ACM Transactions on Computational Biology and Bioinformatics (2023). (CCF B类)
2. Kun Liang, Ruhui Ma, Yang Hua, Hao Wang, Ningxin Hu, Tao Song, Honghao Gao, and Haibing Guan. WH2D2N2: Distributed AI-Enabled OK-ASN Service for Web of Things. ACM Transactions on Asian and Low-Resource Language Information Processing 22, no. 5 (2023): 1-16. (CCF B类)
3. Jiaru Zhang, Ruhui Ma, Tao Song, Yang Hua, Zhengui Xue, Chenyang Guan, and Haibing Guan. Hierarchical Satellite System Graph for Approximate Nearest Neighbor Search on Big Data. ACM/IMS Transactions on Data Science (TDS) 2, no. 4 (2022): 1-15. (Transactions 期刊，共同通讯作者)
4. Yuxin Ma, Shuo Wang, Yang Hua, Ruhui Ma, Tao Song, Zhengui Xue, Heng Cao, and Haibing Guan. Perceptual Data Augmentation for Biomedical Coronary Vessel Segmentation, IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), 2022. (Transactions期刊)
5. Hongjian Shi, Hao Wang, Ruhui Ma, Yang Hua, Tao Song, Honghao Gao, and Haibing Guan. "Robust Searching-based Gradient Collaborative Management in Intelligent Transportation System." ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 2022. (Transactions期刊)
6. Rui Ren, Chunghsuan Wu, Zhouwang Fu, Tao Song, Yanqiang Liu, Zhengwei Qi, and Haibing Guan. Efficient shuffle management for DAG computing frameworks based on the FRQ model. Journal of Parallel and Distributed Computing (JPDC) 149 (2021): 163-173. (CCF B类)
7. Hanxi Guo, Qing Yang, Hao Wang, Yang Hua, Tao Song, Ruhui Ma, and Haibing Guan. SpaceDML: Enabling distributed machine learning in space information networks. IEEE Network 35, no. 4 (2021): 82-87. (SCI IF 10.294)
8. Zongpu Zhang, Tao Song, Liwei Lin, Yang Hua, Xufeng He, Zhengui Xue, Ruhui Ma, Haibing Guan. Towards Ubiquitous Intelligent Computing: Heterogeneous Distributed Deep Neural Networks. IEEE Transactions on Big Data, 2018.（Transactions期刊, 共同通讯作者）
9. Tao Song, Yucheng Liu, Yiding Wang, Ruhui Ma, Alei Liang, Zhengwei Qi, Haibing Guan, Ashman: A Bandwidth Fragmentation-Based Dynamic Flow Scheduling for Data Center Networks. The Computer Journal, 2017, 60(10), 1498-1509.（CCF B 类）