| 2025 | ICASSP | Consensus-based Distributed Quantum Kernel Learning for Speech Recognition. | Kuan-Cheng Chen, Wenxuan Ma, Xiaotian Xu |
| 2025 | ICML | From Local Details to Global Context: Advancing Vision-Language Models with Attention-Based Selection. | Lincan Cai, Jingxuan Kang, Shuang Li, Wenxuan Ma, Binhui Xie, Zhida Qin, Jian Liang |
| 2025 | QCE | RDQKL: Robust Decentralized Quantum Kernel Learning for Noisy and Adversarial Environment. | Wenxuan Ma, Kuan-Cheng Chen, Shang Yu, Mengxiang Liu, Ruilong Deng |
| 2025 | VTC | An Efficient Backup Routing Based on Potential-Minimized Path First for Mega Constellation Networks. | Zetong Zhu, Qiaolin Ouyang, Wenxuan Ma, Yijia Zhou, Neng Ye |
| 2024 | ICML | Learning Modality Knowledge Alignment for Cross-Modality Transfer. | Wenxuan Ma, Shuang Li, Lincan Cai, Jingxuan Kang |
| 2024 | ICML | Enhancing Cross-Modal Fine-Tuning with Gradually Intermediate Modality Generation. | Lincan Cai, Shuang Li, Wenxuan Ma, Jingxuan Kang, Binhui Xie, Zixun Sun, Chengwei Zhu |
| 2023 | ICCV | Borrowing Knowledge From Pre-trained Language Model: A New Data-efficient Visual Learning Paradigm. | Wenxuan Ma, Shuang Li, Jinming Zhang, Chi Harold Liu, Jingxuan Kang, Yulin Wang, Gao Huang |
| 2023 | KDD | Learning Autoregressive Model in LSM-Tree based Store. | Yunxiang Su, Wenxuan Ma, Shaoxu Song |
| 2021 | CVPR | Dynamic Domain Adaptation for Efficient Inference. | Shuang Li, Jinming Zhang, Wenxuan Ma, Chi Harold Liu, Wei Li |