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ORCIDYijin Liu
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Journal Articles
- 2024
[j4]Yi Liu
, Shanjiao Jiang, Yijin Liu, Caihong Mu:
Spatial Feature Enhancement and Attention-Guided Bidirectional Sequential Spectral Feature Extraction for Hyperspectral Image Classification. Remote. Sens. 16(17): 3124 (2024)- [j3]Qiang Lai, Yijin Liu, Luigi Fortuna:
Dynamical Analysis and Fixed-Time Synchronization for Secure Communication of Hidden Multiscroll Memristive Chaotic System. IEEE Trans. Circuits Syst. I Regul. Pap. 71(10): 4665-4675 (2024) - 2021
- [j2]Caihong Mu, Yijin Liu, Yi Liu:
Hyperspectral Image Spectral-Spatial Classification Method Based on Deep Adaptive Feature Fusion. Remote. Sens. 13(4): 746 (2021) - 2020
- [j1]Caihong Mu, Jian Liu, Yi Liu, Yijin Liu:
Hyperspectral Image Classification Based on Active Learning and Spectral-Spatial Feature Fusion Using Spatial Coordinates. IEEE Access 8: 6768-6781 (2020)
Conference and Workshop Papers
- 2024
- [c19]Yijie Chen, Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou:
Comments as Natural Logic Pivots: Improve Code Generation via Comment Perspective. ACL (Findings) 2024: 7040-7051 - [c18]Zengkui Sun, Yijin Liu, Fandong Meng, Jinan Xu, Yufeng Chen, Jie Zhou:
LCS: A Language Converter Strategy for Zero-Shot Neural Machine Translation. ACL (Findings) 2024: 9201-9214 - [c17]Zengkui Sun, Yijin Liu, Jiaan Wang, Fandong Meng, Jinan Xu, Yufeng Chen, Jie Zhou:
Outdated Issue Aware Decoding for Factual Knowledge Editing. ACL (Findings) 2024: 9282-9293 - [c16]Yijin Liu, Xianfeng Zeng, Chenze Shao, Fandong Meng, Jie Zhou:
Instruction Position Matters in Sequence Generation with Large Language Models. ACL (Findings) 2024: 11652-11663 - [c15]Yijin Liu, Xianfeng Zeng, Fandong Meng, Jie Zhou:
BranchNorm: Robustly Scaling Extremely Deep Transformers. ACL (Findings) 2024: 11675-11687 - [c14]Xianfeng Zeng, Yijin Liu, Fandong Meng, Jie Zhou:
Towards Multiple References Era - Addressing Data Leakage and Limited Reference Diversity in Machine Translation Evaluation. ACL (Findings) 2024: 11939-11951 - [c13]Yijin Liu, Guoqiang Xiao, Michael S. Lew, Song Wu:
Multi-Scale Fusion of Gated Neighborhood Attention Transformers for Single Image Deraining. ICASSP 2024: 3130-3134 - [c12]Chenze Shao, Fandong Meng, Yijin Liu, Jie Zhou:
Language Generation with Strictly Proper Scoring Rules. ICML 2024 - 2023
- [c11]Jizhou Li, Bin Chen, Guibin Zan, Guannan Qian, Piero Pianetta, Yijin Liu:
Subspace Modeling Enabled High-Sensitivity X-Ray Chemical Imaging. ICASSP 2023: 1-5 - 2022
- [c10]Songming Zhang, Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jian Liu, Jie Zhou:
Conditional Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation. ACL (1) 2022: 2377-2389 - 2021
- [c9]Yijin Liu, Fandong Meng, Jie Zhou, Yufeng Chen, Jinan Xu:
Faster Depth-Adaptive Transformers. AAAI 2021: 13424-13432 - [c8]Yangyifan Xu, Yijin Liu, Fandong Meng, Jiajun Zhang, Jinan Xu, Jie Zhou:
Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation. ACL/IJCNLP (2) 2021: 511-516 - [c7]Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou:
Confidence-Aware Scheduled Sampling for Neural Machine Translation. ACL/IJCNLP (Findings) 2021: 2327-2337 - [c6]Mengqi Miao, Fandong Meng, Yijin Liu, Xiao-Hua Zhou, Jie Zhou:
Prevent the Language Model from being Overconfident in Neural Machine Translation. ACL/IJCNLP (1) 2021: 3456-3468 - [c5]Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou:
Scheduled Sampling Based on Decoding Steps for Neural Machine Translation. EMNLP (1) 2021: 3285-3296 - [c4]Xianfeng Zeng, Yijin Liu, Ernan Li, Qiu Ran, Fandong Meng, Peng Li, Jinan Xu, Jie Zhou:
WeChat Neural Machine Translation Systems for WMT21. WMT@EMNLP 2021: 243-254 - 2020
- [c3]Fandong Meng, Jianhao Yan, Yijin Liu, Yuan Gao, Xianfeng Zeng, Qinsong Zeng, Peng Li, Ming Chen, Jie Zhou, Sifan Liu, Hao Zhou:
WeChat Neural Machine Translation Systems for WMT20. WMT@EMNLP 2020: 239-247 - 2019
- [c2]Yijin Liu, Fandong Meng, Jinchao Zhang, Jinan Xu, Yufeng Chen, Jie Zhou:
GCDT: A Global Context Enhanced Deep Transition Architecture for Sequence Labeling. ACL (1) 2019: 2431-2441 - [c1]Yijin Liu, Fandong Meng, Jinchao Zhang, Jie Zhou, Yufeng Chen, Jinan Xu:
CM-Net: A Novel Collaborative Memory Network for Spoken Language Understanding. EMNLP/IJCNLP (1) 2019: 1051-1060
Informal and Other Publications
- 2024
- [i23]Yijin Liu, Fandong Meng, Jie Zhou:
Accelerating Inference in Large Language Models with a Unified Layer Skipping Strategy. CoRR abs/2404.06954 (2024) - [i22]Yijie Chen, Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou:
Comments as Natural Logic Pivots: Improve Code Generation via Comment Perspective. CoRR abs/2404.07549 (2024) - [i21]Chenze Shao, Fandong Meng, Yijin Liu, Jie Zhou:
Language Generation with Strictly Proper Scoring Rules. CoRR abs/2405.18906 (2024) - [i20]Zengkui Sun, Yijin Liu, Fandong Meng, Jinan Xu, Yufeng Chen, Jie Zhou:
LCS: A Language Converter Strategy for Zero-Shot Neural Machine Translation. CoRR abs/2406.02876 (2024) - [i19]Zengkui Sun, Yijin Liu, Jiaan Wang, Fandong Meng, Jinan Xu, Yufeng Chen, Jie Zhou:
Outdated Issue Aware Decoding for Reasoning Questions on Edited Knowledge. CoRR abs/2406.02882 (2024) - [i18]Yijie Chen, Yijin Liu, Fandong Meng, Jinan Xu, Yufeng Chen, Jie Zhou:
Beyond Binary Gender: Evaluating Gender-Inclusive Machine Translation with Ambiguous Attitude Words. CoRR abs/2407.16266 (2024) - 2023
- [i17]Yijin Liu, Xianfeng Zeng, Fandong Meng, Jie Zhou:
BranchNorm: Robustly Scaling Extremely Deep Transformers. CoRR abs/2305.02790 (2023) - [i16]Xianfeng Zeng, Yijin Liu, Fandong Meng, Jie Zhou:
Towards Multiple References Era - Addressing Data Leakage and Limited Reference Diversity in NLG Evaluation. CoRR abs/2308.03131 (2023) - [i15]Yijin Liu, Xianfeng Zeng, Fandong Meng, Jie Zhou:
Instruction Position Matters in Sequence Generation with Large Language Models. CoRR abs/2308.12097 (2023) - [i14]Yijie Chen, Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou:
Improving Translation Faithfulness of Large Language Models via Augmenting Instructions. CoRR abs/2308.12674 (2023) - 2022
- [i13]Jizhou Li, Bin Chen, Guibin Zan, Guannan Qian, Piero Pianetta, Yijin Liu:
Subspace modeling for fast and high-sensitivity X-ray chemical imaging. CoRR abs/2201.00259 (2022) - [i12]Songming Zhang, Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jian Liu, Jie Zhou:
Conditional Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation. CoRR abs/2203.02951 (2022) - [i11]Leyang Cui, Fandong Meng, Yijin Liu, Jie Zhou, Yue Zhang:
Towards Robust Online Dialogue Response Generation. CoRR abs/2203.03168 (2022) - 2021
- [i10]Mengqi Miao, Fandong Meng, Yijin Liu, Xiao-Hua Zhou, Jie Zhou:
Prevent the Language Model from being Overconfident in Neural Machine Translation. CoRR abs/2105.11098 (2021) - [i9]Yangyifan Xu, Yijin Liu, Fandong Meng, Jiajun Zhang, Jinan Xu, Jie Zhou:
Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation. CoRR abs/2105.12523 (2021) - [i8]Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou:
Confidence-Aware Scheduled Sampling for Neural Machine Translation. CoRR abs/2107.10427 (2021) - [i7]Xianfeng Zeng, Yijin Liu, Ernan Li, Qiu Ran, Fandong Meng, Peng Li, Jinan Xu, Jie Zhou:
WeChat Neural Machine Translation Systems for WMT21. CoRR abs/2108.02401 (2021) - [i6]Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou:
Scheduled Sampling Based on Decoding Steps for Neural Machine Translation. CoRR abs/2108.12963 (2021) - 2020
- [i5]Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou:
Depth-Adaptive Graph Recurrent Network for Text Classification. CoRR abs/2003.00166 (2020) - [i4]Yijin Liu, Fandong Meng, Jie Zhou, Yufeng Chen, Jinan Xu:
Explicitly Modeling Adaptive Depths for Transformer. CoRR abs/2004.13542 (2020) - [i3]Fandong Meng, Jianhao Yan, Yijin Liu, Yuan Gao, Xianfeng Zeng, Qinsong Zeng, Peng Li, Ming Chen, Jie Zhou, Sifan Liu, Hao Zhou:
WeChat Neural Machine Translation Systems for WMT20. CoRR abs/2010.00247 (2020) - 2019
- [i2]Yijin Liu, Fandong Meng, Jinchao Zhang, Jinan Xu, Yufeng Chen, Jie Zhou:
GCDT: A Global Context Enhanced Deep Transition Architecture for Sequence Labeling. CoRR abs/1906.02437 (2019) - [i1]Yijin Liu, Fandong Meng, Jinchao Zhang, Jie Zhou, Yufeng Chen, Jinan Xu:
CM-Net: A Novel Collaborative Memory Network for Spoken Language Understanding. CoRR abs/1909.06937 (2019)
Coauthor Index
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