| 2026 | COMPSAC | Secure and Scalable Dynamic Blockchain Sharding via a Multi-Granularity Reputation Model. | Jie Li, Zhihao Guo, Yibing Li, Yangjie Cao |
| 2026 | COMPSAC | T-DAA: Dynamic Account Allocation for Blockchain Sharding Based on Time-Decay Weighted Graph. | Bo Wei, Zhongyong Guo, Yibing Li, Weilong Gong, Yangjie Cao |
| 2025 | HPCC | An Account Clustering-Based Scheme for Efficient Blockchain Sharding. | Weilong Gong, Zhongyong Guo, Jie Li, Yan Zhuang, Yibing Li, Yangjie Cao |
| 2025 | HPCC | A Low-Latency Decision-Making Scheme Based on Grouped Blockchain in IoV Environments. | Yibing Li, Xinghui Ding, Jie Li, Yan Zhuang, Weilong Gong, Yangjie Cao |
| 2025 | IJCNN | MagicGS++: Efficient 2D supervision for High-Quality 3D Content Generation. | Jie Li, Runfeng Lv, Zhenqiang Li, Liang Liu, Lijie Jia, Yangjie Cao |
| 2024 | ECAI | JOSAL: Joint Learning Framework for Open-Set Active Learning. | Jun Xie, Xiaohui Song, Yangjie Cao, Zhi Liu, Weiping Wang, Hongli Xu |
| 2024 | ISPA | AdaptTrack: Multi-Object Tracking by Adaptive Correlation. | Kunpeng Li, Lei Wang, Hongjun Ren, Yangjie Cao |
| 2024 | MMM | MVD-NeRF: Resolving Shape-Radiance Ambiguity via Mitigating View Dependency. | Yangjie Cao, Bo Wang, Zhenqiang Li, Jie Li |
| 2023 | IJCNN | Improving the Transferability of Adversarial Examples with Diverse Gradients. | Yangjie Cao, Haobo Wang, Chenxi Zhu, Yan Zhuang, Jie Li, Xianfu Chen |
| 2023 | MMM | SRes-NeRF: Improved Neural Radiance Fields for Realism and Accuracy of Specular Reflections. | Shufan Dai, Yangjie Cao, Pengsong Duan, Xianfu Chen |
| 2022 | GLOBECOM | Trans-RL: A Prediction-Control Approach for QoE-Aware Point Cloud Video Streaming. | Cunhui Zhang, Yangjie Cao, Zhi Liu, Rui Yin, Yongdong Zhu, Xianfu Chen |
| 2022 | HPCC | Automatic Individual Tooth Segmentation in Cone-Beam Computed Tomography Based on Multi-Task CNN and Watershed Transform. | Lipeng Xie, Baoxiang Liu, Yangjie Cao, Cong Yang |
| 2021 | GLOBECOM | Performance Optimization in Heterogeneous WiFi and Cellular Mobile Edge Computing Systems. | Liwen Niu, Yangjie Cao, Celimuge Wu, Rui Yin, Xianfu Chen |
| 2021 | VTC | A Deep Reinforcement Learning Approach for Point Cloud Video Transmissions. | Hai Lin, Bo Zhang, Yangjie Cao, Zhi Liu, Xianfu Chen |
| 2020 | WCNC | Multi-Channel Lightweight Convolutional Neural Network for Remote Myocardial Infarction Monitoring. | Yangjie Cao, Tingting Wei, Nan Lin, Di Zhang, Joel J. P. C. Rodrigues |
| 2019 | UIC | Deep-WiID: WiFi-Based Contactless Human Identification via Deep Learning. | Zhiyi Zhou, Chang Liu, Xingda Yu, Cong Yang, Pengsong Duan, Yangjie Cao |
| 2018 | UIC | Multi-Channel Lightweight Convolution Neural Network for Anterior Myocardial Infarction Detection. | Yufei Chen, Huihui Chen, Ziyang He, Cong Yang, Yangjie Cao |
| 2015 | ICA3PP | Evaluation Model of the Cloud Systems Based on Queuing Petri Net. | Yangjie Cao, Huimin Lu, Xiaodong Shi, Pengsong Duan |
| 2015 | ICA3PP | A Hierarchical Shared Key Algorithm in Wireless Sensor Networks. | Zeyu Sun, Weiguo Wu, Xiaofei Xing, Chuanfeng Li, Yalin Nie, Yangjie Cao |
| 2013 | HPCC | Optimizing Multi-join in Cloud Environment. | Yongcai Tao, Mengxue Zhou, Lei Shi, Lin Wei, Yangjie Cao |
| 2011 | HPCC | Stable Adaptive Work-Stealing for Concurrent Multi-core Runtime Systems. | Yangjie Cao, Hongyang Sun, Depei Qian, Weiguo Wu |
| 2011 | ICPADS | Fair and Efficient Online Adaptive Scheduling for Multiple Sets of Parallel Applications. | Hongyang Sun, Yangjie Cao, Wen-Jing Hsu |
| 2010 | ISPA | Scalable Hierarchical Scheduling for Multiprocessor Systems Using Adaptive Feedback-Driven Policies. | Yangjie Cao, Hongyang Sun, Depei Qian, Weiguo Wu |
| 2010 | PDP | Malleable-Lab: A Tool for Evaluating Adaptive Online Schedulers on Malleable Jobs. | Yangjie Cao, Hongyang Sun, Wen-Jing Hsu, Depei Qian |
| 2009 | JSSPP | Competitive Two-Level Adaptive Scheduling Using Resource Augmentation. | Hongyang Sun, Yangjie Cao, Wen-Jing Hsu |