| 2026 | AAAI | Dropout Prompt Learning: Towards Robust and Adaptive Vision-Language Models. | Biao Chen, Lin Zuo, Mengmeng Jing, Kunbin He, Yuchen Wang |
| 2026 | AAAI | Instruction-Guided Cross-Modal Clustering for Training-Free Visual Token Pruning in Vision-Language Models. | Yunqian Yu, Biao Chen, Yunya Zhang, Tonglan Xie, Mengmeng Jing, Lin Zuo |
| 2025 | ICASSP | Prelude echoes Finale: Video Domain Adaptation with Fine-grained Temporal Consistency. | Shuxian Wang, Mengmeng Jing, Xianlong Tian, Yuguo Hu, Lin Zuo |
| 2025 | ICLR | Rethinking Spiking Neural Networks from an Ensemble Learning Perspective. | Yongqi Ding, Lin Zuo, Mengmeng Jing, Pei He, Hanpu Deng |
| 2025 | KDD | Toward End-to-End Bearing Fault Diagnosis for Industrial Scenarios with Spiking Neural Networks. | Lin Zuo, Yongqi Ding, Mengmeng Jing, Kunshan Yang, Biao Chen, Yunqian Yu |
| 2024 | AAAI | Shrinking Your TimeStep: Towards Low-Latency Neuromorphic Object Recognition with Spiking Neural Networks. | Yongqi Ding, Lin Zuo, Mengmeng Jing, Pei He, Yongjun Xiao |
| 2023 | ICCV | Order-preserving Consistency Regularization for Domain Adaptation and Generalization. | Mengmeng Jing, Xiantong Zhen, Jingjing Li, Cees G. M. Snoek |
| 2021 | AAAI | Balanced Open Set Domain Adaptation via Centroid Alignment. | Mengmeng Jing, Jingjing Li, Lei Zhu, Zhengming Ding, Ke Lu, Yang Yang |
| 2019 | AAAI | From Zero-Shot Learning to Cold-Start Recommendation. | Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu, Yang Yang, Zi Huang |
| 2019 | CVPR | Leveraging the Invariant Side of Generative Zero-Shot Learning. | Jingjing Li, Mengmeng Jing, Ke Lu, Zhengming Ding, Lei Zhu, Zi Huang |
| 2019 | DASFAA | A Domain Adaptation Approach for Multistream Classification. | Yue Xie, Jingjing Li, Mengmeng Jing, Ke Lu, Zi Huang |
| 2019 | IJCNN | Agile Domain Adaptation. | Jingjing Li, Mengmeng Jing, Yue Xie, Ke Lu, Zi Huang |
| 2018 | DASFAA | Learning Distribution-Matched Landmarks for Unsupervised Domain Adaptation. | Mengmeng Jing, Jingjing Li, Jidong Zhao, Ke Lu |