Yue Wang

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 9

Top Topics

Meta Search Engine

Total Least Squares

Active Learning Framework

Hierarchical Text Classification

Top Venues

Publications

Yue Wang, Zilong Zheng, Juntao Li, Zhihui Liu, Jinxiong Chang, Qishen Zhang, Zhongyi Liu, Guannan Zhang, Min Zhang
Towards More Realistic Chinese Spell Checking with New Benchmark and Specialized Expert Model. LREC/COLING (2024)
Yue Wang, Zilong Zheng, Zecheng Tang, Juntao Li, Zhihui Liu, Kunlong Chen, Jinxiong Chang, Qishen Zhang, Zhongyi Liu, Min Zhang
Towards Better Chinese Spelling Check for Search Engines: A New Dataset and Strong Baseline. WSDM (2024)
Dan Qiao, Yi Su, Pinzheng Wang, Jing Ye, Wenjing Xie, Yuechi Zhou, Yuyang Ding, Zecheng Tang, Jikai Wang, Yixin Ji, Yue Wang, Pei Guo, Zechen Sun, Zikang Zhang, Juntao Li, Pingfu Chao, Wenliang Chen, Guohong Fu, Guodong Zhou, Qiaoming Zhu, Min Zhang
OpenBA-V2: Reaching 77.3% High Compression Ratio with Fast Multi-Stage Pruning. CoRR (2024)
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) (2024)
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 (2023)
Yue Wang, Dan Qiao, Juntao Li, Jinxiong Chang, Qishen Zhang, Zhongyi Liu, Guannan Zhang, Min Zhang
Towards Better Hierarchical Text Classification with Data Generation. ACL (Findings) (2023)
Haoke Zhang, Yue Wang, Juntao Li, Xiabing Zhou, Min Zhang
G-SPEED: General SParse Efficient Editing MoDel. CoRR (2023)
Yue Wang, Xinrui Wang, Juntao Li, Jinxiong Chang, Qishen Zhang, Zhongyi Liu, Guannan Zhang, Min Zhang
Harnessing the Power of David against Goliath: Exploring Instruction Data Generation without Using Closed-Source Models. CoRR (2023)
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)