| 2026 | ACL | SED-SFT: Selectively Encouraging Diversity in Supervised Fine-Tuning. | Yijie Chen, Yijin Liu, Fandong Meng |
| 2025 | ACL | Enhancing Cross-Tokenizer Knowledge Distillation with Contextual Dynamical Mapping. | Yijie Chen, Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou |
| 2025 | DATE | LT-OAQ: Learnable Threshold Based Outlier-Aware Quantization and its Energy-Efficient Accelerator for Low-Precision On-Chip Training. | Qinkai Xu, Yijin Liu, Yuan Meng, Yang Chen, Yunlong Mao, Li Li, Yuxiang Fu |
| 2024 | ACL | Comments as Natural Logic Pivots: Improve Code Generation via Comment Perspective. | Yijie Chen, Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou |
| 2024 | ACL | BranchNorm: Robustly Scaling Extremely Deep Transformers. | Yijin Liu, Xianfeng Zeng, Fandong Meng, Jie Zhou |
| 2024 | ACL | Instruction Position Matters in Sequence Generation with Large Language Models. | Yijin Liu, Xianfeng Zeng, Chenze Shao, Fandong Meng, Jie Zhou |
| 2024 | ACL | LCS: A Language Converter Strategy for Zero-Shot Neural Machine Translation. | Zengkui Sun, Yijin Liu, Fandong Meng, Jinan Xu, Yufeng Chen, Jie Zhou |
| 2024 | ACL | Outdated Issue Aware Decoding for Factual Knowledge Editing. | Zengkui Sun, Yijin Liu, Jiaan Wang, Fandong Meng, Jinan Xu, Yufeng Chen, Jie Zhou |
| 2024 | ACL | Towards Multiple References Era - Addressing Data Leakage and Limited Reference Diversity in Machine Translation Evaluation. | Xianfeng Zeng, Yijin Liu, Fandong Meng, Jie Zhou |
| 2024 | ICASSP | Multi-Scale Fusion of Gated Neighborhood Attention Transformers for Single Image Deraining. | Yijin Liu, Guoqiang Xiao, Michael S. Lew, Song Wu |
| 2024 | ICML | Language Generation with Strictly Proper Scoring Rules. | Chenze Shao, Fandong Meng, Yijin Liu, Jie Zhou |
| 2023 | ICASSP | Subspace Modeling Enabled High-Sensitivity X-Ray Chemical Imaging. | Jizhou Li, Bin Chen, Guibin Zan, Guannan Qian, Piero Pianetta, Yijin Liu |
| 2022 | ACL | Conditional Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation. | Songming Zhang, Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jian Liu, Jie Zhou |
| 2021 | AAAI | Faster Depth-Adaptive Transformers. | Yijin Liu, Fandong Meng, Jie Zhou, Yufeng Chen, Jinan Xu |
| 2021 | ACL | Confidence-Aware Scheduled Sampling for Neural Machine Translation. | Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou |
| 2021 | ACL | Prevent the Language Model from being Overconfident in Neural Machine Translation. | Mengqi Miao, Fandong Meng, Yijin Liu, Xiao-Hua Zhou, Jie Zhou |
| 2021 | ACL | Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation. | Yangyifan Xu, Yijin Liu, Fandong Meng, Jiajun Zhang, Jinan Xu, Jie Zhou |
| 2021 | EMNLP | Scheduled Sampling Based on Decoding Steps for Neural Machine Translation. | Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou |
| 2019 | ACL | GCDT: A Global Context Enhanced Deep Transition Architecture for Sequence Labeling. | Yijin Liu, Fandong Meng, Jinchao Zhang, Jinan Xu, Yufeng Chen, Jie Zhou |
| 2019 | EMNLP | CM-Net: A Novel Collaborative Memory Network for Spoken Language Understanding. | Yijin Liu, Fandong Meng, Jinchao Zhang, Jie Zhou, Yufeng Chen, Jinan Xu |