| 2024 | ICML | Stacking Deep Set Networks and Pooling by Quantiles. | Zhuojun Chen, Xinghua Zhu, Dongzhe Su, Justin C. I. Chuang |
| 2021 | ICASSP | A Quantitative Metric for Privacy Leakage in Federated Learning. | Yong Liu, Xinghua Zhu, Jianzong Wang, Jing Xiao |
| 2021 | ICASSP | Efficient Client Contribution Evaluation for Horizontal Federated Learning. | Jie Zhao, Xinghua Zhu, Jianzong Wang, Jing Xiao |
| 2021 | IJCNN | Quantum Convolutional Neural Network on Protein Distance Prediction. | Zhenhou Hong, Jianzong Wang, Xiaoyang Qu, Xinghua Zhu, Jie Liu, Jing Xiao |
| 2021 | IJCNN | Anomaly Removal for Vehicle Energy Consumption in Federated Learning. | Guanyu Lin, Xinghua Zhu, Jianzong Wang, Jing Xiao |
| 2021 | IJCNN | Diversified Point Cloud Classification Using Personalized Federated Learning. | Anshun Xue, Xinghua Zhu, Jianzong Wang, Jing Xiao |
| 2021 | Interspeech | Speech2Video: Cross-Modal Distillation for Speech to Video Generation. | Shijing Si, Jianzong Wang, Xiaoyang Qu, Ning Cheng, Wenqi Wei, Xinghua Zhu, Jing Xiao |
| 2021 | WISE | Case Study of Few-Shot Learning in Text Recognition Models. | Jianzong Wang, Shijing Si, Zhenhou Hong, Xiaoyang Qu, Xinghua Zhu, Jing Xiao |
| 2020 | EMNLP | Empirical Studies of Institutional Federated Learning For Natural Language Processing. | Xinghua Zhu, Jianzong Wang, Zhenhou Hong, Jing Xiao |
| 2019 | ICONIP | On Probability Calibration of Recurrent Text Recognition Network. | Xinghua Zhu, Jianzong Wang, Zhenhou Hong, Junxiong Guo, Jing Xiao |
| 2019 | ICTAI | Federated Learning of Unsegmented Chinese Text Recognition Model. | Xinghua Zhu, Jianzong Wang, Zhenhou Hong, Tian Xia, Jing Xiao |