| 2026 | ACL | SARA: Unlocking Multilingual Knowledge in Mixture-of-Experts via Semantically Anchored Routing Alignment. | Tianyu Dong, Yangyang Liu, Jiang Zhou, Xinwei Wu, Xiaohu Zhao, Hao Wang, Heng Liu, Linlong Xu, Longyue Wang, Weihua Luo, Shaolin Zhu, Deyi Xiong |
| 2026 | ACL | TENP: Trapezoidal Expert Neuron Pruning For Mixture-of-Experts. | Jiangyang He, Shaolin Zhu, Deyi Xiong |
| 2026 | ACL | MACS: Modality-Aware Capacity Scaling for Efficient Multimodal MoE Inference. | Bo Li, Chuan Wu, Shaolin Zhu |
| 2026 | ACL | AdaDPI: Document-level Translation Adaptive Agent via Dynamic Parametric Internalization. | Hong Ren, Liting Deng, Shaolin Zhu, Deyi Xiong |
| 2025 | AAAI | LRM-LLaVA: Overcoming the Modality Gap of Multilingual Large Language-Vision Model for Low-Resource Languages. | Junchen Li, Qing Yang, Bojian Jiang, Shaolin Zhu, Qingxuan Sun |
| 2025 | ACL | MLAS-LoRA: Language-Aware Parameters Detection and LoRA-Based Knowledge Transfer for Multilingual Machine Translation. | Tianyu Dong, Bo Li, Jinsong Liu, Shaolin Zhu, Deyi Xiong |
| 2025 | COLING | MIT-10M: A Large Scale Parallel Corpus of Multilingual Image Translation. | Bo Li, Shaolin Zhu, Lijie Wen |
| 2025 | EMNLP | CYCLE-INSTRUCT: Fully Seed-Free Instruction Tuning via Dual Self-Training and Cycle Consistency. | Zhanming Shen, Hao Chen, Yulei Tang, Shaolin Zhu, Wentao Ye, Xiaomeng Hu, Haobo Wang, Gang Chen, Junbo Zhao |
| 2025 | EMNLP | Unveiling Multimodal Processing: Exploring Activation Patterns in Multimodal LLMs for Interpretability and Efficiency. | Chuan Wu, Meng Su, Youxuan Fang, Shaolin Zhu |
| 2025 | EMNLP | DCIS: Efficient Length Extrapolation of LLMs via Divide-and-Conquer Scaling Factor Search. | Lei Yang, Shaoyang Xu, Jianxiang Peng, Shaolin Zhu, Deyi Xiong |
| 2024 | ACL | Efficiently Exploring Large Language Models for Document-Level Machine Translation with In-context Learning. | Menglong Cui, Jiangcun Du, Shaolin Zhu, Deyi Xiong |
| 2024 | ACL | LANDeRMT: Dectecting and Routing Language-Aware Neurons for Selectively Finetuning LLMs to Machine Translation. | Shaolin Zhu, Leiyu Pan, Bo Li, Deyi Xiong |
| 2024 | COLING | Towards Robust In-Context Learning for Machine Translation with Large Language Models. | Shaolin Zhu, Menglong Cui, Deyi Xiong |
| 2024 | EMNLP | FuxiTranyu: A Multilingual Large Language Model Trained with Balanced Data. | Haoran Sun, Renren Jin, Shaoyang Xu, Leiyu Pan, Supryadi, Menglong Cui, Jiangcun Du, Yikun Lei, Lei Yang, Ling Shi, Juesi Xiao, Shaolin Zhu, Deyi Xiong |
| 2023 | ACL | CKDST: Comprehensively and Effectively Distill Knowledge from Machine Translation to End-to-End Speech Translation. | Yikun Lei, Zhengshan Xue, Xiaohu Zhao, Haoran Sun, Shaolin Zhu, Xiaodong Lin, Deyi Xiong |
| 2023 | ACL | PEIT: Bridging the Modality Gap with Pre-trained Models for End-to-End Image Translation. | Shaolin Zhu, Shangjie Li, Yikun Lei, Deyi Xiong |
| 2023 | EMNLP | MMNMT: Modularizing Multilingual Neural Machine Translation with Flexibly Assembled MoE and Dense Blocks. | Shangjie Li, Xiangpeng Wei, Shaolin Zhu, Jun Xie, Baosong Yang, Deyi Xiong |
| 2023 | EMNLP | Towards a Deep Understanding of Multilingual End-to-End Speech Translation. | Haoran Sun, Xiaohu Zhao, Yikun Lei, Shaolin Zhu, Deyi Xiong |
| 2023 | EMNLP | CCSRD: Content-Centric Speech Representation Disentanglement Learning for End-to-End Speech Translation. | Xiaohu Zhao, Haoran Sun, Yikun Lei, Shaolin Zhu, Deyi Xiong |
| 2023 | ICANN | Ternary Data, Triangle Decoding, Three Tasks, a Multitask Learning Speech Translation Model. | Linlin Zhang, Boxing Chen, Shaolin Zhu, Luo Si |
| 2021 | APWEB | Incorporating Typological Features into Language Selection for Multilingual Neural Machine Translation. | Chenggang Mi, Shaolin Zhu, Yi Fan, Lei Xie |