Wei Li

Wei Li

Peking University

H-index: 15

Asia-China

About Wei Li

Wei Li, With an exceptional h-index of 15 and a recent h-index of 14 (since 2020), a distinguished researcher at Peking University, specializes in the field of NLP, Deep Learning, Digital Humanities.

His recent articles reflect a diverse array of research interests and contributions to the field:

CHED: A Cross-Historical Dataset with a Logical Event Schema for Classical Chinese Event Detection

Unsupervised Traditional Chinese Herb Mention Normalization via Robustness-Promotion Oriented Self-supervised Training

Domain Specific Pre-training Methods for Traditional Chinese Medicine Prescription Recommendation

ASAT: Adaptively scaled adversarial training in time series

Mcer: A multi-domain dataset for sentence-level chinese ellipsis resolution

Stock Trading Volume Prediction with Dual-Process Meta-Learning

Unsupervised Chinese word segmentation with BERT oriented probing and transformation

No stock is an island: Learning internal and relational attributes of stocks with contrastive learning

Wei Li Information

University

Position

___

Citations(all)

1759

Citations(since 2020)

1713

Cited By

294

hIndex(all)

15

hIndex(since 2020)

14

i10Index(all)

19

i10Index(since 2020)

18

Email

University Profile Page

Google Scholar

Wei Li Skills & Research Interests

NLP

Deep Learning

Digital Humanities

Top articles of Wei Li

Title

Journal

Author(s)

Publication Date

CHED: A Cross-Historical Dataset with a Logical Event Schema for Classical Chinese Event Detection

Congcong Wei

Zhenbing Feng

Shutan Huang

Wei Li

Yanqiu Shao

2023/8/3

Unsupervised Traditional Chinese Herb Mention Normalization via Robustness-Promotion Oriented Self-supervised Training

Wei Li

Zheng Yang

Yanqiu Shao

2023/7/22

Domain Specific Pre-training Methods for Traditional Chinese Medicine Prescription Recommendation

Wei Li

Zheng Yang

Yanqiu Shao

2023/7/22

ASAT: Adaptively scaled adversarial training in time series

Neurocomputing

Zhiyuan Zhang

Wei Li

Ruihan Bao

Keiko Harimoto

Yunfang Wu

...

2023/2/14

Mcer: A multi-domain dataset for sentence-level chinese ellipsis resolution

Jialu Qi

Yanqiu Shao

Wei Li

Zizhuo Shen

2022/9/24

Stock Trading Volume Prediction with Dual-Process Meta-Learning

Ruibo Chen

Wei Li

Zhiyuan Zhang

Ruihan Bao

Keiko Harimoto

...

2022/9/19

Unsupervised Chinese word segmentation with BERT oriented probing and transformation

Wei Li

Yuhan Song

Qi Su

Yanqiu Shao

2022/5

No stock is an island: Learning internal and relational attributes of stocks with contrastive learning

Shicheng Li

Wei Li

Zhiyuan Zhang

Ruihan Bao

Keiko Harimoto

...

2022/12

Precisely the Point: Adversarial Augmentations for Faithful and Informative Text Generation

arXiv preprint arXiv:2210.12367

Wenhao Wu

Wei Li

Jiachen Liu

Xinyan Xiao

Sujian Li

...

2022/10/22

Modeling the stock relation with graph network for overnight stock movement prediction

Wei Li

Ruihan Bao

Keiko Harimoto

Deli Chen

Jingjing Xu

...

2021/1/7

Query-variant advertisement text generation with association knowledge

Siyu Duan

Wei Li

Jing Cai

Yancheng He

Yunfang Wu

2021/10/26

Long-term, short-term and sudden event: trading volume movement prediction with graph-based multi-view modeling

arXiv preprint arXiv:2108.11318

Liang Zhao

Wei Li

Ruihan Bao

Keiko Harimoto

Xu Sun

2021/8/23

Learning robust representation for clustering through locality preserving variational discriminative network

arXiv preprint arXiv:2012.13489

Ruixuan Luo

Wei Li

Zhiyuan Zhang

Ruihan Bao

Keiko Harimoto

...

2020/12/25

Jointly modeling aspect and sentiment with dynamic heterogeneous graph neural networks

arXiv preprint arXiv:2004.06427

Shu Liu

Wei Li

Yunfang Wu

Qi Su

Xu Sun

2020/4/14

Measuring and relieving the over-smoothing problem for graph neural networks from the topological view

Proceedings of the AAAI conference on artificial intelligence

Deli Chen

Yankai Lin

Wei Li

Peng Li

Jie Zhou

...

2020/4/3

See List of Professors in Wei Li University(Peking University)

Co-Authors

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