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2020 – today
- 2024
[j6]Juntao Li
, Xiaobo Liang, Lijun Wu, Yue Wang, Qi Meng, Tao Qin, Min Zhang, Tie-Yan Liu:
Randomness Regularization With Simple Consistency Training for Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 46(8): 5763-5778 (2024)- [j5]Xiaobo Liang, Runze Mao, Lijun Wu, Juntao Li, Min Zhang, Qing Li:
Enhancing Low-Resource NLP by Consistency Training With Data and Model Perturbations. IEEE ACM Trans. Audio Speech Lang. Process. 32: 189-199 (2024) - [i5]Xiaobo Liang, Haoke Zhang, Helan hu, Juntao Li, Jun Xu, Min Zhang:
Fennec: Fine-grained Language Model Evaluation and Correction Extended through Branching and Bridging. CoRR abs/2405.12163 (2024) - [i4]Yuyang Ding, Xinyu Shi, Xiaobo Liang, Juntao Li, Qiaoming Zhu, Min Zhang:
Unleashing Reasoning Capability of LLMs via Scalable Question Synthesis from Scratch. CoRR abs/2410.18693 (2024) - 2023
- [j4]Yue Wang, Lijun Wu, Juntao Li, Xiaobo Liang, Min Zhang:
Are the BERT family zero-shot learners? A study on their potential and limitations. Artif. Intell. 322: 103953 (2023) - [j3]Jiacheng Lin, Lijun Wu, Jinhua Zhu, Xiaobo Liang, Yingce Xia, Shufang Xie, Tao Qin, Tie-Yan Liu:
R2-DDI: relation-aware feature refinement for drug-drug interaction prediction. Briefings Bioinform. 24(1) (2023) - [c9]Xiaobo Liang, Zecheng Tang, Juntao Li, Min Zhang:
Open-ended Long Text Generation via Masked Language Modeling. ACL (1) 2023: 223-241 - [c8]Xiaobo Liang, Juntao Li, Lijun Wu, Ziqiang Cao, Min Zhang:
Dynamic and Efficient Inference for Text Generation via BERT Family. ACL (1) 2023: 2883-2897 - [c7]Yachun Ge, Xiaobo Liang:
A Visual Analysis of the Hotspots of the Nanjing Massacre Research in the Context of Big Data. ICBAR 2023: 971-975 - [c6]Chong Liu, Xiaoyang Liu, Rongqin Zheng, Lixin Zhang, Xiaobo Liang, Juntao Li, Lijun Wu, Min Zhang, Leyu Lin:
CT4Rec: Simple yet Effective Consistency Training for Sequential Recommendation. KDD 2023: 3901-3913 - 2022
- [j2]Xiaobo Liang, Lijun Wu, Juntao Li, Tao Qin, Min Zhang, Tie-Yan Liu:
Multi-Teacher Distillation With Single Model for Neural Machine Translation. IEEE ACM Trans. Audio Speech Lang. Process. 30: 992-1002 (2022) - [c5]Xiaobo Liang, Lijun Wu, Juntao Li, Min Zhang:
JANUS: Joint Autoregressive and Non-autoregressive Training with Auxiliary Loss for Sequence Generation. EMNLP 2022: 8050-8060 - 2021
- [c4]Xiaobo Liang, Lijun Wu, Juntao Li, Yue Wang, Qi Meng, Tao Qin, Wei Chen, Min Zhang, Tie-Yan Liu:
R-Drop: Regularized Dropout for Neural Networks. NeurIPS 2021: 10890-10905 - [i3]Xiaobo Liang, Lijun Wu, Juntao Li, Yue Wang, Qi Meng, Tao Qin, Wei Chen, Min Zhang, Tie-Yan Liu:
R-Drop: Regularized Dropout for Neural Networks. CoRR abs/2106.14448 (2021) - [i2]Chong Liu, Xiaoyang Liu, Rongqin Zheng, Lixin Zhang, Xiaobo Liang, Juntao Li, Lijun Wu, Min Zhang, Leyu Lin:
C2-Rec: An Effective Consistency Constraint for Sequential Recommendation. CoRR abs/2112.06668 (2021) - 2020
- [j1]Xiaobo Liang, Wenli Ma, Jin Zhou, Sijie Kong:
Star Identification Algorithm Based on Image Normalization and Zernike Moments. IEEE Access 8: 29228-29237 (2020)
2010 – 2019
- 2018
- [c3]Lingfeng Pan, Yi Zhang, Feiliang Ren, Yining Hou, Yan Li, Xiaobo Liang, Yongkang Liu:
A Multiple Utterances based Neural Network Model for Joint Intent Detection and Slot Filling. CCKS Tasks 2018: 25-33 - [c2]Yongkang Liu, Xiaobo Liang, Feiliang Ren, Yan Li, Yining Hou, Yi Zhang, Lingfeng Pan:
An Enhanced ESIM Model for Sentence Pair Matching with Self-Attention. CCKS Tasks 2018: 52-62 - [c1]Feiliang Ren, Di Zhou, Zhihui Liu, Yongcheng Li, Rongsheng Zhao, Yongkang Liu, Xiaobo Liang:
Neural Relation Classification with Text Descriptions. COLING 2018: 1167-1177 - [i1]Feiliang Ren, Yining Hou, Yan Li, Lingfeng Pan, Yi Zhang, Xiaobo Liang, Yongkang Liu, Yu Guo, Rongsheng Zhao, Ruicheng Ming, Huiming Wu:
TechKG: A Large-Scale Chinese Technology-Oriented Knowledge Graph. CoRR abs/1812.06722 (2018)
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last updated on 2024-11-28 20:33 CET by the dblp team
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