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Computer Science

D-Index
56
Citations
18404
World Ranking
3979
National Ranking
64

Overview

Jing Jiang is affiliated with Singapore Management University in Singapore. Their research primarily falls within the field of Computer Science, with a strong emphasis on Artificial Intelligence. Other subfields represented in their work include Computer Vision and Pattern Recognition, Information Systems, Sociology and Political Science, and Biomedical Engineering.

The scientist's research covers a variety of topics, focusing particularly on:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Advanced Graph Neural Networks
  • Privacy-Preserving Technologies in Data
  • Misinformation and Its Impacts

Jing Jiang has authored papers in multiple prominent venues. Frequently published venues include:

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

Some of their recent published papers include:

  • Interpretable Rumor Detection in Microblogs by Attending to User Interactions (2020, Proceedings of the AAAI Conference on Artificial Intelligence)
  • Federated Learning on Non-IID Graphs via Structural Knowledge Sharing (2023, Proceedings of the AAAI Conference on Artificial Intelligence)
  • Complex Knowledge Base Question Answering: A Survey (2022, IEEE Transactions on Knowledge and Data Engineering)
  • Federated Learning from Pre-Trained Models: A Contrastive Learning Approach (2022, arXiv)
  • Omni-Scale CNNs: a simple and effective kernel size configuration for time series classification (2020, arXiv)

The scientist has frequent collaboration with several co-authors, including:

  • Guodong Long
  • Chengqi Zhang
  • Tianyi Zhou
  • Yunshi Lan
  • Xiaosen Zheng

Jing Jiang has contributed to book publications with Springer Science+Business Media, with multiple editions of "Advanced Data Mining and Applications" published in 2023.

Best Publications

  • TwitterRank: finding topic-sensitive influential twitterers

    Jianshu Weng;Ee-Peng Lim;Jing Jiang;Qi He

  • Comparing twitter and traditional media using topic models

    Wayne Xin Zhao;Jing Jiang;Jianshu Weng;Jing He

  • Instance Weighting for Domain Adaptation in NLP

    Jing Jiang;ChengXiang Zhai

  • Adaptive filters for continuous queries over distributed data streams

    Chris Olston;Jing Jiang;Jennifer Widom

  • Machine Comprehension Using Match-LSTM and Answer Pointer

    Shuohang Wang;Jing Jiang

  • Jointly Modeling Aspects and Opinions with a MaxEnt-LDA Hybrid

    Xin Zhao;Jing Jiang;Hongfei Yan;Xiaoming Li

  • Jointly modeling aspects, ratings and sentiments for movie recommendation (JMARS)

    Qiming Diao;Minghui Qiu;Chao-Yuan Wu;Alexander J. Smola

  • Learning Natural Language Inference with LSTM

    Shuohang Wang;Jing Jiang

  • Towards more accurate retrieval of duplicate bug reports

    Chengnian Sun;David Lo;Siau-Cheng Khoo;Jing Jiang

  • A discriminative model approach for accurate duplicate bug report retrieval

    Chengnian Sun;David Lo;Xiaoyin Wang;Jing Jiang

  • Knowledge transfer via multiple model local structure mapping

    Jing Gao;Wei Fan;Jing Jiang;Jiawei Han

  • Understanding latent interactions in online social networks

    Jing Jiang;Christo Wilson;Xiao Wang;Peng Huang

  • Finding Bursty Topics from Microblogs

    Qiming Diao;Jing Jiang;Feida Zhu;Ee-Peng Lim

  • Topical Keyphrase Extraction from Twitter

    Xin Zhao;Jing Jiang;Jing He;Yang Song

  • TopicSketch: Real-Time Bursty Topic Detection from Twitter

    Wei Xie;Feida Zhu;Jing Jiang;Ee-Peng Lim

  • TopicSketch: Real-Time Bursty Topic Detection from Twitter

    Wei Xie;Feida Zhu;Jing Jiang;Ee-Peng Lim

  • R 3 : Reinforced Ranker-Reader for Open-Domain Question Answering.

    Shuohang Wang;Mo Yu;Xiaoxiao Guo;Zhiguo Wang

  • CQArank: jointly model topics and expertise in community question answering

    Liu Yang;Minghui Qiu;Swapna Gottipati;Feida Zhu

  • Information Extraction from Text

    Jing Jiang

  • A Systematic Exploration of the Feature Space for Relation Extraction

    Jing Jiang;ChengXiang Zhai

  • A Compare-Aggregate Model for Matching Text Sequences

    Shuohang Wang;Jing Jiang

Frequent Co-Authors

Guodong Long
Guodong Long University of Technology Sydney
Chengqi Zhang
Chengqi Zhang Hong Kong Polytechnic University
Shirui Pan
Shirui Pan Griffith University
Ee-Peng Lim
Ee-Peng Lim Singapore Management University
ChengXiang Zhai
ChengXiang Zhai University of Illinois at Urbana-Champaign
Feida Zhu
Feida Zhu Singapore Management University
Lina Yao
Lina Yao Commonwealth Scientific and Industrial Research Organisation
Mo Yu
Mo Yu IBM (United States)
Shiyu Chang
Shiyu Chang University of California, Santa Barbara

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