| 2026 | KSEM | Textbook Content Moderation via Multi-agent Intergenerational Interaction. | Yu Ji, Wen Wu, Xiang Liu, Qingchun Bai, Jiabao Zhao, Yunyu Shi, Zhe Huang, Liang He |
| 2025 | ACL | RMoA: Optimizing Mixture-of-Agents through Diversity Maximization and Residual Compensation. | Zhentao Xie, Chengcheng Han, Jinxin Shi, Wenjun Cui, Xin Zhao, Xingjiao Wu, Jiabao Zhao |
| 2025 | ICA3PP | Multi-task Learning for HDD Failure Prediction in Heterogeneous Storage Systems. | Jixing Zhu, Jiabao Zhao, Fan Liu |
| 2025 | ICASSP | Dynamically Causal-Enhanced Exercise Representations for Adaptive Knowledge Tracing. | Yanhong Bai, Jiabao Zhao, Tingjiang Wei, Jinxin Shi, Liang He |
| 2025 | ICCV | Lark: Low-Rank Updates After Knowledge Localization for Few-Shot Class-Incremental Learning. | Jinxin Shi, Jiabao Zhao, Yifan Yang, Xingjiao Wu, Jiawen Li, Liang He |
| 2025 | SEKE | FedDMC: Dual-Model Dynamic Interaction with Multi-Stage Correction for Noisy Federated Learning. | Jiyun Li, Teng Li, Chen Qian, Jiabao Zhao |
| 2024 | ECAI | MindScope: Exploring Cognitive Biases in Large Language Models Through Multi-Agent Systems. | Zhentao Xie, Jiabao Zhao, Yilei Wang, Jinxin Shi, Yanhong Bai, Xingjiao Wu, Liang He |
| 2024 | ICASSP | A Soft Contrastive Learning-Based Prompt Model for Few-Shot Sentiment Analysis. | Jingyi Zhou, Jie Zhou, Jiabao Zhao, Siyin Wang, Haijun Shan, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2023 | ICASSP | Uncertainty-Aware Few-Shot Class-Incremental Learning. | Jiancai Zhu, Jiabao Zhao, Jiayi Zhou, Liang He, Jing Yang, Zhi Zhang |
| 2021 | AAAI | Looking Wider for Better Adaptive Representation in Few-Shot Learning. | Jiabao Zhao, Yifan Yang, Xin Lin, Jing Yang, Liang He |
| 2021 | ICASSP | Cross-Modal Knowledge Distillation For Fine-Grained One-Shot Classification. | Jiabao Zhao, Xin Lin, Yifan Yang, Jing Yang, Liang He |
| 2015 | HCI | The Effectiveness of Virtual Reality for Studying Human Behavior in Fire. | Xinxin Feng, Rongzhen Cui, Jiabao Zhao |