GCDT: A Global Context Enhanced Deep Transition Architecture for Sequence Labeling. - Yijin Liu; Fandong Meng; Jinchao Zhang 001; Jinan Xu; Yufeng Chen 005; Jie Zhou 016 (ACL (1), 2019)

CM-Net: A Novel Collaborative Memory Network for Spoken Language Understanding. - Yijin Liu; Fandong Meng; Jinchao Zhang 001; Jie Zhou 016; Yufeng Chen 005; Jinan Xu (EMNLP/IJCNLP (1), 2019)

WeChat Neural Machine Translation Systems for WMT20. - Fandong Meng; Jianhao Yan; Yijin Liu; Yuan Gao; Xianfeng Zeng; Qinsong Zeng; Peng Li 030; Ming Chen; Jie Zhou 016; Sifan Liu; Hao Zhou 012 (WMT@EMNLP, 2020)

Hyperspectral Image Classification Based on Active Learning and Spectral-Spatial Feature Fusion Using Spatial Coordinates. - Caihong Mu; Jian Liu 022; Yi Liu 051; Yijin Liu (IEEE Access, 2020)

Depth-Adaptive Graph Recurrent Network for Text Classification. - Yijin Liu; Fandong Meng; Yufeng Chen 005; Jinan Xu; Jie Zhou 016 (CoRR, 2020)

Explicitly Modeling Adaptive Depths for Transformer. - Yijin Liu; Fandong Meng; Jie Zhou 016; Yufeng Chen 005; Jinan Xu (CoRR, 2020)

Faster Depth-Adaptive Transformers. - Yijin Liu; Fandong Meng; Jie Zhou 016; Yufeng Chen 005; Jinan Xu (AAAI, 2021)

Confidence-Aware Scheduled Sampling for Neural Machine Translation. - Yijin Liu; Fandong Meng; Yufeng Chen 005; Jinan Xu; Jie Zhou 016 (ACL/IJCNLP (Findings), 2021)

Prevent the Language Model from being Overconfident in Neural Machine Translation. - Mengqi Miao; Fandong Meng; Yijin Liu; Xiao-Hua Zhou; Jie Zhou 016 (ACL/IJCNLP (1), 2021)

Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation. - Yangyifan Xu; Yijin Liu; Fandong Meng; Jiajun Zhang; Jinan Xu; Jie Zhou 016 (ACL/IJCNLP (2), 2021)

Scheduled Sampling Based on Decoding Steps for Neural Machine Translation. - Yijin Liu; Fandong Meng; Yufeng Chen 005; Jinan Xu; Jie Zhou 016 (EMNLP (1), 2021)

WeChat Neural Machine Translation Systems for WMT21. - Xianfeng Zeng; Yijin Liu; Ernan Li; Qiu Ran; Fandong Meng; Peng Li 030; Jinan Xu; Jie Zhou 016 (WMT@EMNLP, 2021)

Hyperspectral Image Spectral-Spatial Classification Method Based on Deep Adaptive Feature Fusion. - Caihong Mu; Yijin Liu; Yi Liu 051 (Remote. Sens., 2021)

Conditional Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation. - Songming Zhang 001; Yijin Liu; Fandong Meng; Yufeng Chen 005; Jinan Xu; Jian Liu 032; Jie Zhou 016 (ACL (1), 2022)

Subspace modeling for fast and high-sensitivity X-ray chemical imaging. - Jizhou Li; Bin Chen; Guibin Zan; Guannan Qian; Piero Pianetta; Yijin Liu (CoRR, 2022)

Towards Robust Online Dialogue Response Generation. - Leyang Cui; Fandong Meng; Yijin Liu; Jie Zhou 016; Yue Zhang 004 (CoRR, 2022)

Subspace Modeling Enabled High-Sensitivity X-Ray Chemical Imaging. - Jizhou Li; Bin Chen 019; Guibin Zan; Guannan Qian; Piero Pianetta; Yijin Liu (ICASSP, 2023)

Towards Multiple References Era - Addressing Data Leakage and Limited Reference Diversity in NLG Evaluation. - Xianfeng Zeng; Yijin Liu; Fandong Meng; Jie Zhou 016 (CoRR, 2023)

Instruction Position Matters in Sequence Generation with Large Language Models. - Yijin Liu; Xianfeng Zeng; Fandong Meng; Jie Zhou 016 (CoRR, 2023)

Improving Translation Faithfulness of Large Language Models via Augmenting Instructions. - Yijie Chen; Yijin Liu; Fandong Meng; Yufeng Chen 005; Jinan Xu; Jie Zhou 016 (CoRR, 2023)

Comments as Natural Logic Pivots: Improve Code Generation via Comment Perspective. - Yijie Chen; Yijin Liu; Fandong Meng; Yufeng Chen 005; Jinan Xu; Jie Zhou 016 (ACL (Findings), 2024)

BranchNorm: Robustly Scaling Extremely Deep Transformers. - Yijin Liu; Xianfeng Zeng; Fandong Meng; Jie Zhou 016 (ACL (Findings), 2024)

Instruction Position Matters in Sequence Generation with Large Language Models. - Yijin Liu; Xianfeng Zeng; Chenze Shao; Fandong Meng; Jie Zhou 016 (ACL (Findings), 2024)

LCS: A Language Converter Strategy for Zero-Shot Neural Machine Translation. - Zengkui Sun; Yijin Liu; Fandong Meng; Jinan Xu; Yufeng Chen 005; Jie Zhou 016 (ACL (Findings), 2024)

Outdated Issue Aware Decoding for Factual Knowledge Editing. - Zengkui Sun; Yijin Liu; Jiaan Wang; Fandong Meng; Jinan Xu; Yufeng Chen 005; Jie Zhou 016 (ACL (Findings), 2024)

Towards Multiple References Era - Addressing Data Leakage and Limited Reference Diversity in Machine Translation Evaluation. - Xianfeng Zeng; Yijin Liu; Fandong Meng; Jie Zhou 016 (ACL (Findings), 2024)

Multi-Scale Fusion of Gated Neighborhood Attention Transformers for Single Image Deraining. - Yijin Liu; Guoqiang Xiao 001; Michael S. Lew; Song Wu 003 (ICASSP, 2024)

Language Generation with Strictly Proper Scoring Rules. - Chenze Shao; Fandong Meng; Yijin Liu; Jie Zhou 016 (ICML, 2024)

Accelerating Inference in Large Language Models with a Unified Layer Skipping Strategy. - Yijin Liu; Fandong Meng; Jie Zhou 016 (CoRR, 2024)

Outdated Issue Aware Decoding for Reasoning Questions on Edited Knowledge. - Zengkui Sun; Yijin Liu; Jiaan Wang; Fandong Meng; Jinan Xu; Yufeng Chen 005; Jie Zhou 016 (CoRR, 2024)

Beyond Binary Gender: Evaluating Gender-Inclusive Machine Translation with Ambiguous Attitude Words. - Yijie Chen; Yijin Liu; Fandong Meng; Jinan Xu; Yufeng Chen 005; Jie Zhou 016 (CoRR, 2024)

Spatial Feature Enhancement and Attention-Guided Bidirectional Sequential Spectral Feature Extraction for Hyperspectral Image Classification. - Yi Liu 051; Shanjiao Jiang; Yijin Liu; Caihong Mu (Remote. Sens., 2024)

Dynamical Analysis and Fixed-Time Synchronization for Secure Communication of Hidden Multiscroll Memristive Chaotic System. - Qiang Lai; Yijin Liu; Luigi Fortuna (IEEE Trans. Circuits Syst. I Regul. Pap., 2024)

Enhancing Cross-Tokenizer Knowledge Distillation with Contextual Dynamical Mapping. - Yijie Chen; Yijin Liu; Fandong Meng; Yufeng Chen 005; Jinan Xu; Jie Zhou 016 (ACL (Findings), 2025)

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 002; Yuxiang Fu (DATE, 2025)

A long-short-term feature extraction network based on soft-parameter-sharing for high-speed train bogies multi-object fault diagnosis under long-tailed distribution. - Yijin Liu; Jinglong Chen; Tongyang Pan; Jingsong Xie (Expert Syst. Appl., 2025)

Deep Learning for Spectroscopic X-ray Nano-Imaging Denoising. - Tianyu Fu 009; Kai Zhang; Qingxi Yuan; Jizhou Li; Piero Pianetta; Yijin Liu (Adv. Intell. Syst., 2025)

Warmup-Distill: Bridge the Distribution Mismatch between Teacher and Student before Knowledge Distillation. - Zengkui Sun; Yijin Liu; Fandong Meng; Yufeng Chen 005; Jinan Xu; Jie Zhou 016 (CoRR, 2025)

Mapping the Trust Terrain: LLMs in Software Engineering - Insights and Perspectives. - Dipin Khati; Yijin Liu; David N. Palacio; Yixuan Zhang; Denys Poshyvanyk (CoRR, 2025)