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Computer Science

D-Index
79
Citations
36241
World Ranking
1123
National Ranking
160

Overview

Zhiyuan Liu is a researcher affiliated with Tsinghua University in China. Their main area of academic contribution lies within the field of Computer Science, with a substantial focus on Artificial Intelligence and related subdomains.

Their recent scholarly output includes several papers published in notable venues. These include:

  • "Graph neural networks: A review of methods and applications" (2020) published in AI Open
  • "Pre-trained models: Past, present and future" (2021) published in AI Open
  • "Parameter-efficient fine-tuning of large-scale pre-trained language models" (2023) published in Nature Machine Intelligence
  • "KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation" (2021) published in Transactions of the Association for Computational Linguistics
  • "PTR: Prompt Tuning with Rules for Text Classification" (2022) published in AI Open

Zhiyuan Liu has co-authored extensively with several prominent researchers. Frequent collaborators include Maosong Sun, Yankai Lin, Zhengyan Zhang, Yujia Qin, and Chaojun Xiao.

Publications are distributed across prominent venues, with a significant number appearing in:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • AI Open
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Zhiyuan Liu's research covers a variety of topics within Computer Science, with emphasis on:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Advanced Graph Neural Networks
  • Domain Adaptation and Few-Shot Learning
  • Speech Recognition and Synthesis
  • Complex Network Analysis Techniques

Additional contributions include authoring two books published by Morgan & Claypool Publishers: "Introduction to Graph Neural Networks" (2020) and "Network Embedding: Theories, Methods, and Applications" (2021).

Best Publications

  • Graph Neural Networks: A Review of Methods and Applications

    Jie Zhou;Ganqu Cui;Shengding Hu;Zhengyan Zhang

  • Learning entity and relation embeddings for knowledge graph completion

    Yankai Lin;Zhiyuan Liu;Maosong Sun;Yang Liu

  • ERNIE: Enhanced Language Representation with Informative Entities

    Zhengyan Zhang;Xu Han;Zhiyuan Liu;Xin Jiang

  • Neural Relation Extraction with Selective Attention over Instances

    Yankai Lin;Shiqi Shen;Zhiyuan Liu;Huanbo Luan

  • Network representation learning with rich text information

    Cheng Yang;Zhiyuan Liu;Deli Zhao;Maosong Sun

  • Pre-Trained Models: Past, Present and Future

    Xu Han;Zhengyan Zhang;Ning Ding;Yuxian Gu

  • A C-LSTM Neural Network for Text Classification

    Chunting Zhou;Chonglin Sun;Zhiyuan Liu;Francis C. M. Lau

  • Representation learning of knowledge graphs with entity descriptions

    Ruobing Xie;Zhiyuan Liu;Jia Jia;Huanbo Luan

  • PTR: Prompt Tuning with Rules for Text Classification

    Unknown

  • KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation

    Xiaozhi Wang;Tianyu Gao;Zhaocheng Zhu;Zhengyan Zhang

  • Modeling Relation Paths for Representation Learning of Knowledge Bases

    Yankai Lin;Zhiyuan Liu;Huanbo Luan;Maosong Sun

  • FewRel: A Large-Scale Supervised Few-shot Relation Classification Dataset with State-of-the-Art Evaluation.

    Xu Han;Hao Zhu;Pengfei Yu;Ziyun Wang

  • End-to-End Neural Ad-hoc Ranking with Kernel Pooling

    Chenyan Xiong;Zhuyun Dai;Jamie Callan;Zhiyuan Liu

  • Relation Classification via Multi-Level Attention CNNs

    Linlin Wang;Zhu Cao;Gerard de Melo;Zhiyuan Liu

  • Topical word embeddings

    Yang Liu;Zhiyuan Liu;Tat-Seng Chua;Maosong Sun

  • DocRED: A Large-Scale Document-Level Relation Extraction Dataset.

    Yuan Yao;Deming Ye;Peng Li;Xu Han

  • Automatic Keyphrase Extraction via Topic Decomposition

    Zhiyuan Liu;Wenyi Huang;Yabin Zheng;Maosong Sun

  • A Unified Model for Word Sense Representation and Disambiguation

    Xinxiong Chen;Zhiyuan Liu;Maosong Sun

  • Clustering to Find Exemplar Terms for Keyphrase Extraction

    Zhiyuan Liu;Peng Li;Yabin Zheng;Maosong Sun

  • Adaptive Graph Encoder for Attributed Graph Embedding

    Ganqu Cui;Jie Zhou;Cheng Yang;Zhiyuan Liu

  • Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification

    Tianyu Gao;Xu Han;Zhiyuan Liu;Maosong Sun

  • Neural Sentiment Classification with User and Product Attention

    Huimin Chen;Maosong Sun;Cunchao Tu;Yankai Lin

Frequent Co-Authors

Maosong Sun
Maosong Sun Tsinghua University
Juanzi Li
Juanzi Li Tsinghua University
Qun Liu
Qun Liu Huawei Technologies (China)
Jamie Callan
Jamie Callan Carnegie Mellon University
Hanwang Zhang
Hanwang Zhang Nanyang Technological University
Stefan Wermter
Stefan Wermter Universität Hamburg
Tat-Seng Chua
Tat-Seng Chua National University of Singapore
Minlie Huang
Minlie Huang Tsinghua University
Jie Tang
Jie Tang Tsinghua University
Francis C. M. Lau
Francis C. M. Lau Hong Kong Polytechnic University

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