World's Best Scientists 2026 revealed!
Shuming Shi

Shuming Shi

D-Index & Metrics

Computer Science

D-Index
42
Citations
6091
World Ranking
8506
National Ranking
1109

Overview

Shuming Shi is affiliated with Tencent in China and specializes in the field of Computer Science, with a focus on several subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering, Automotive Engineering, and Information Systems.

Their research covers a variety of advanced topics, such as:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Text Readability and Simplification
  • Speech and Dialogue Systems
  • Software Engineering Research
  • Advanced Text Analysis Techniques

Shuming Shi's publication record includes numerous papers with recent examples listed below:

  • "Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models" (2023), published in arXiv (Cornell University)
  • "Recent Advances in Retrieval-Augmented Text Generation" (2022), published in Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
  • "Context-aware Self-Attention Networks for Natural Language Processing" (2021), published in Neurocomputing
  • "Empirical Analysis of Unlabeled Entity Problem in Named Entity Recognition" (2020), published in arXiv (Cornell University)
  • "Zero-Shot Rumor Detection with Propagation Structure via Prompt Learning" (2023), published in Proceedings of the AAAI Conference on Artificial Intelligence

The venues where Shuming Shi frequently publishes include:

  • arXiv (Cornell University)
  • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Transactions of the Association for Computational Linguistics
  • IEEE Transactions on Games

Frequent co-authors collaborating with Shuming Shi are:

  • Zhaopeng Tu
  • Lemao Liu
  • Longyue Wang
  • Leyang Cui
  • Haiyun Jiang

Best Publications

  • Directional Skip-Gram: Explicitly Distinguishing Left and Right Context for Word Embeddings

    Yan Song;Shuming Shi;Jing Li;Haisong Zhang

  • Deep Neural Solver for Math Word Problems

    Yan Wang;Xiaojiang Liu;Shuming Shi

  • Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models

    Unknown

  • Automatically Solving Number Word Problems by Semantic Parsing and Reasoning

    Shuming Shi;Yuehui Wang;Chin-Yew Lin;Xiaojiang Liu

  • Web object retrieval

    Zaiqing Nie;Yunxiao Ma;Shuming Shi;Ji-Rong Wen

  • Learning to Remember Translation History with a Continuous Cache

    Zhaopeng Tu;Yang Liu;Shuming Shi;Tong Zhang

  • How well do Computers Solve Math Word Problems? Large-Scale Dataset Construction and Evaluation

    Danqing Huang;Shuming Shi;Chin-Yew Lin;Jian Yin

  • SOMO: Self-Organized Metadata Overlay for Resource Management in P2P DHT

    Zheng Zhang;Shu-Ming Shi;Jing Zhu

  • Research on Markov property analysis of driving cycles and its application

    Shuming Shi;Nan Lin;Yan Zhang;Jingmin Cheng

  • Adding dominant media elements to search results

    Ming Jing Li;Shuming Shi;Wei-Ying Ma;Zhiwei Li

  • Making peer-to-peer keyword searching feasible using multi-level partitioning

    Shuming Shi;Guangwen Yang;Dingxing Wang;Jin Yu

  • Exploiting Deep Representations for Neural Machine Translation

    Zi-Yi Dou;Zhaopeng Tu;Xing Wang;Shuming Shi

  • Overview of NTCIR-9 RITE : Recognizing Inference in TExt

    Hideki Shima;Hiroshi Kanayama;Cheng-Wei Lee;Chuan-Jie Lin

  • Title extraction from bodies of HTML documents and its application to web page retrieval

    Yunhua Hu;Guomao Xin;Ruihua Song;Guoping Hu

  • Learning Fine-Grained Expressions to Solve Math Word Problems

    Danqing Huang;Shuming Shi;Chin-Yew Lin;Jian Yin

  • Ensemble Semantics for Large-scale Unsupervised Relation Extraction

    Bonan Min;Shuming Shi;Ralph Grishman;Chin-Yew Lin

  • On the Word Alignment from Neural Machine Translation

    Xintong Li;Guanlin Li;Lemao Liu;Max Meng

  • Web page title extraction and its application

    Yewei Xue;Yunhua Hu;Guomao Xin;Ruihua Song

  • Self-Attention with Structural Position Representations.

    Xing Wang;Zhaopeng Tu;Longyue Wang;Shuming Shi

  • Overview of the Recognizing Inference in Text (RITE-2) at NTCIR-10

    Yotaro Watanabe;Yusuke Miyao;Junta Mizuno;Tomohide Shibata

  • Topic-Aware Neural Keyphrase Generation for Social Media Language

    Yue Wang;Jing Li;Hou Pong Chan;Irwin King

  • On the Inference Calibration of Neural Machine Translation

    Shuo Wang;Zhaopeng Tu;Shuming Shi;Yang Liu

  • Retrieval-guided Dialogue Response Generation via a Matching-to-Generation Framework

    Deng Cai;Yan Wang;Wei Bi;Zhaopeng Tu

  • Skeleton-to-Response: Dialogue Generation Guided by Retrieval Memory

    Deng Cai;Yan Wang;Victoria Bi;Zhaopeng Tu

Frequent Co-Authors

Zhaopeng Tu
Zhaopeng Tu Tencent (China)
Ji-Rong Wen
Ji-Rong Wen Renmin University of China
Michael R. Lyu
Michael R. Lyu Chinese University of Hong Kong
Wei-Ying Ma
Wei-Ying Ma Tsinghua University
Chin-Yew Lin
Chin-Yew Lin Microsoft Research Asia (China)
Tong Zhang
Tong Zhang University of Illinois at Urbana-Champaign
Guangwen Yang
Guangwen Yang Tsinghua University
Yang Liu
Yang Liu Tsinghua University
Irwin King
Irwin King Chinese University of Hong Kong
Lidong Bing
Lidong Bing Carnegie Mellon University

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