| 2026 | ACL | Red Teaming Large Reasoning Models. | Jiawei Chen, Yang Yang, Chao Yu, Yu Tian, Zhi Cao, Xue Yang, Linghao Li, Hang Su, Zhaoxia Yin |
| 2026 | ISCAS | Multi-Region Thermal-Renewable Coordinated Dispatch Considering Chance-Constrained Reserve and Supply Security. | Zhi Cao, Zi'an Li, Liang Wang, Xi Zhang, Wenshuang Liu, Yifei Li, Zhengran Wu |
| 2025 | SNPD | Towards Faithful and Explainable Large Language Models: A Knowledge Graph-Guided Framework for Reasoning Enhancement and Hallucination Mitigation. | Chongwen Wang, Zhi Cao, Ke Zhou |
| 2024 | ICASSP | Enhancing Adversarial Training with Prior Knowledge Distillation for Robust Image Compression. | Zhi Cao, Youneng Bao, Fanyang Meng, Chao Li, Wen Tan, Genhong Wang, Yongsheng Liang |
| 2024 | MICCAI | Follow Sonographers' Visual Scan-Path: Adjusting CNN Model for Diagnosing Gout from Musculoskeletal Ultrasound. | Xin Tang, Zhi Cao, Weijing Zhang, Di Zhao, Hongen Liao, Daoqiang Zhang, Fang Chen |
| 2023 | CIKM | PaperLM: A Pre-trained Model for Hierarchical Examination Paper Representation Learning. | Minghui Shan, Yixiao Ma, Shulan Ruan, Zhi Cao, Shiwei Tong, Qi Liu, Yu Su, Shijin Wang |
| 2023 | ICDM | Online Ensemble of Ensemble OVA Framework for Class Evolution with Dominant Emerging Classes. | Zhi Cao, Shuyi Zhang, Chin-Teng Lin |
| 2023 | MICCAI | Thinking Like Sonographers: A Deep CNN Model for Diagnosing Gout from Musculoskeletal Ultrasound. | Zhi Cao, Weijing Zhang, Keke Chen, Di Zhao, Daoqiang Zhang, Hongen Liao, Fang Chen |
| 2023 | PRICAI | A Dynamic Pricing Strategy in Divided Regions for Ride-Hailing. | Bing Shi, Yan Lu, Zhi Cao |
| 2023 | SIGIR | Learning from Crowds with Annotation Reliability. | Zhi Cao, Enhong Chen, Ye Huang, Shuanghong Shen, Zhenya Huang |
| 2022 | DASFAA | A Deep Reinforcement Learning Based Dynamic Pricing Algorithm in Ride-Hailing. | Bing Shi, Zhi Cao, Yikai Luo |
| 2022 | KSEM | An Incentive-Compatible and Efficient Mechanism for Matching and Pricing in Ride-Sharing. | Bing Shi, Xizi Huang, Zhi Cao |
| 2021 | IPCCC | 3DRIMR: 3D Reconstruction and Imaging via mmWave Radar based on Deep Learning. | Yue Sun, Zhuoming Huang, Honggang Zhang, Zhi Cao, Deqiang Xu |
| 2021 | ISKE | Opposition-based Grey Wolf Optimization Approaches for Feature Selection. | Zhi Cao, Hongmei Chen |
| 2021 | ISSRE | Methods for deep learning model failure detection and model adaption: A survey. | Xiaoyu Wu, Zheng Hu, Ke Pei, Liyan Song, Zhi Cao, Shuyi Zhang |
| 2020 | COCOON | Deep Specification Mining with Attention. | Zhi Cao, Nan Zhang |
| 2019 | IECON | Sliding Mode Control with Neural Network for Active Magnetic Bearing System. | Zhi Cao, Jianning Dong, Faisal Wani, Henk Polinder, Pavol Bauer, Fei Peng, Yunkai Huang |
| 2018 | GLOBECOM | Design and Evaluation of a Prediction-Based Dynamic Edge Computing System. | Enlu Liu, Xiaoheng Deng, Zhi Cao, Honggang Zhang |
| 2018 | IPCCC | Performance and Stability of Application Placement in Mobile Edge Computing System. | Zhi Cao, Honggang Zhang, Benyuan Liu |
| 2018 | IPCCC | A Game-theoretic Framework for Revenue Sharing in Edge-Cloud Computing System. | Zhi Cao, Honggang Zhang, Benyuan Liu, Bo Sheng |
| 2017 | IECON | Active damping control of modular multilevel converter with output filter for high-speed PM motor drive. | Tianqi Xia, Yunkai Huang, Fei Peng, Yu Yao, Zhi Cao |