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Dongyan Zhao

Dongyan Zhao

D-Index & Metrics

Computer Science

D-Index
52
Citations
11645
World Ranking
5052
National Ranking
682

Overview

Dongyan Zhao is affiliated with Peking University in China. Their research primarily falls within the field of Computer Science, with a significant focus on Artificial Intelligence.

The scientist has published extensively, with key contributions in topics related to Topic Modeling, Natural Language Processing Techniques, Multimodal Machine Learning Applications, and Speech and Dialogue Systems. Additional areas of interest include Advanced Text Analysis Techniques, Domain Adaptation and Few-Shot Learning, as well as Video Analysis and Summarization.

Frequent publication venues for Dongyan Zhao include:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • ACM Transactions on Information Systems
  • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

Several recent papers showcase the scope of their work:

  • Low-Resource Knowledge-Grounded Dialogue Generation, 2020, arXiv (Cornell University)
  • Learning an Effective Context-Response Matching Model with Self-Supervised Tasks for Retrieval-based Dialogues, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • A Character-Centric Neural Model for Automated Story Generation, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • Multi-Granularity Structural Knowledge Distillation for Language Model Compression, 2022, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • Meaningful Answer Generation of E-Commerce Question-Answering, 2021, ACM Transactions on Information Systems

Dongyan Zhao frequently collaborates with other researchers, including:

  • Rui Yan
  • Yansong Feng
  • Xiuying Chen
  • Shen Gao
  • Chongyang Tao

The scientist's work emphasizes advancements in dialogue generation, context-response understanding, story generation, language model compression, and e-commerce question answering. Their publication history reflects both theoretical and applied research across these interconnected domains.

Best Publications

  • Explainable AI: A Brief Survey on History, Research Areas, Approaches and Challenges

    Feiyu Xu;Hans Uszkoreit;Yangzhou Du;Wei Fan

  • Style Transfer in Text: Exploration and Evaluation

    Zhenxin Fu;Xiaoye Tan;Nanyun Peng;Dongyan Zhao

  • Multi-grained Attention Network for Aspect-Level Sentiment Classification

    Feifan Fan;Yansong Feng;Dongyan Zhao

  • Relation-Aware Entity Alignment for Heterogeneous Knowledge Graphs

    Yuting Wu;Xiao Liu;Yansong Feng;Zheng Wang

  • Learning to Predict Charges for Criminal Cases with Legal Basis

    Bingfeng Luo;Yansong Feng;Jianbo Xu;Xiang Zhang

  • Plan-And-Write: Towards Better Automatic Storytelling

    Lili Yao;Nanyun Peng;Ralph M. Weischedel;Kevin Knight

  • Question Answering on Freebase via Relation Extraction and Textual Evidence

    Kun Xu;Siva Reddy;Yansong Feng;Songfang Huang

  • gStore: answering SPARQL queries via subgraph matching

    Lei Zou;Jinghui Mo;Lei Chen;M. Tamer Özsu

  • Semantic Relation Classification via Convolutional Neural Networks with Simple Negative Sampling

    Kun Xu;Yansong Feng;Songfang Huang;Dongyan Zhao

  • Natural language question answering over RDF: a graph data driven approach

    Lei Zou;Ruizhe Huang;Haixun Wang;Jeffrey Xu Yu

  • Answering Natural Language Questions by Subgraph Matching over Knowledge Graphs

    Sen Hu;Lei Zou;Jeffrey Xu Yu;Haixun Wang

  • gStore: a graph-based SPARQL query engine

    Lei Zou;M. Tamer Özsu;Lei Chen;Xuchuan Shen

  • RUBER: An Unsupervised Method for Automatic Evaluation of Open-Domain Dialog Systems

    Chongyang Tao;Lili Mou;Dongyan Zhao;Rui Yan

  • Jointly Learning Entity and Relation Representations for Entity Alignment

    Yuting Wu;Xiao Liu;Yansong Feng;Zheng Wang

  • Get The Point of My Utterance! Learning Towards Effective Responses with Multi-Head Attention Mechanism

    Chongyang Tao;Shen Gao;Mingyue Shang;Wei Wu

  • One Time of Interaction May Not Be Enough: Go Deep with an Interaction-over-Interaction Network for Response Selection in Dialogues.

    Chongyang Tao;Wei Wu;Can Xu;Wenpeng Hu

  • How to Make Context More Useful? An Empirical Study on Context-Aware Neural Conversational Models

    Zhiliang Tian;Rui Yan;Lili Mou;Yiping Song

  • Knowledge-Grounded Dialogue Generation with Pre-trained Language Models

    Xueliang Zhao;Wei Wu;Can Xu;Chongyang Tao

  • Multi-Representation Fusion Network for Multi-Turn Response Selection in Retrieval-Based Chatbots

    Chongyang Tao;Wei Wu;Can Xu;Wenpeng Hu

  • A Convolution BiLSTM Neural Network Model for Chinese Event Extraction

    Ying Zeng;Honghui Yang;Yansong Feng;Zheng Wang

Frequent Co-Authors

Rui Yan
Rui Yan Renmin University of China
Yansong Feng
Yansong Feng Peking University
Lei Chen
Lei Chen Hong Kong University of Science and Technology
Kun Xu
Kun Xu Beijing University of Posts and Telecommunications
M. Tamer Özsu
M. Tamer Özsu University of Waterloo
C. Robin Buell
C. Robin Buell University of Georgia
Bing Liu
Bing Liu University of Illinois at Chicago
Ning Jiang
Ning Jiang Michigan State University
Lidong Bing
Lidong Bing Carnegie Mellon University
Dong Wang
Dong Wang University of Notre Dame

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