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Computer Science

D-Index
64
Citations
14697
World Ranking
2628
National Ranking
1303

Overview

Heng Ji is affiliated with the University of Illinois at Urbana-Champaign in the United States. Their research spans primarily the field of computer science, with a focus on artificial intelligence, computer vision and pattern recognition, information systems, management science and operations research, and molecular biology.

The scientist has published extensively, with a total of 161 publications in computer science. Within this domain, 115 publications focus on artificial intelligence, 21 on computer vision and pattern recognition, 13 on information systems, 8 on management science and operations research, and another 8 on molecular biology. Their main research topics include topic modeling, natural language processing techniques, multimodal machine learning applications, software engineering research, domain adaptation and few-shot learning, data quality and management, and advanced text analysis techniques.

Heng Ji's recent papers cover a range of topics and venues, including:

  • "A hypochlorite-activated strategy for realizing fluorescence turn-on, type I and type II ROS-combined photodynamic tumor ablation" (2023) published in Biomaterials
  • "Chemical-Reaction-Aware Molecule Representation Learning" (2021) published on arXiv (Cornell University)
  • "Constrained Abstractive Summarization: Preserving Factual Consistency with Constrained Generation" (2020) published on arXiv (Cornell University)
  • "Factuality Challenges in the Era of Large Language Models" (2023) published on arXiv (Cornell University)
  • "Dynamic Global Memory for Document-level Argument Extraction" (2022) published in Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

The scholar frequently publishes in venues such as:

  • arXiv (Cornell University)
  • Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  • Biomaterials
  • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • Proceedings of the AAAI Conference on Artificial Intelligence

Collaborative work is a significant aspect of Heng Ji's research activity. They have worked multiple times with coauthors including Yi R. Fung, Jiawei Han, Manling Li, Revanth Gangi Reddy, and Yangyi Chen.

Best Publications

  • Incremental Joint Extraction of Entity Mentions and Relations

    Qi Li;Heng Ji

  • Joint Event Extraction via Structured Prediction with Global Features

    Qi Li;Heng Ji;Liang Huang

  • Refining Event Extraction through Cross-Document Inference

    Heng Ji;Ralph Grishman

  • Overview of the TAC 2010 Knowledge Base Population Track

    Heng Ji;Heng Ji;Ralph Grishman;Hoa Trang Dang;Kira Griffitt

  • Knowledge Base Population: Successful Approaches and Challenges

    Heng Ji;Ralph Grishman

  • Cross-lingual Name Tagging and Linking for 282 Languages

    Xiaoman Pan;Boliang Zhang;Jonathan May;Joel Nothman

  • A Joint Neural Model for Information Extraction with Global Features.

    Ying Lin;Heng Ji;Fei Huang;Lingfei Wu

  • CoType: Joint Extraction of Typed Entities and Relations with Knowledge Bases

    Xiang Ren;Zeqiu Wu;Wenqi He;Meng Qu

  • Visual Attention Model for Name Tagging in Multimodal Social Media

    Di Lu;Leonardo Neves;Vitor Carvalho;Ning Zhang

  • A Dependency-Based Neural Network for Relation Classification

    Yang Liu;Furu Wei;Sujian Li;Heng Ji

  • A Language-Independent Neural Network for Event Detection.

    Xiaocheng Feng;Lifu Huang;Duyu Tang;Heng Ji

  • Moralization in social networks and the emergence of violence during protests.

    Marlon Mooijman;Joe Hoover;Ying Lin;Heng Ji

  • FaitCrowd: Fine Grained Truth Discovery for Crowdsourced Data Aggregation

    Fenglong Ma;Yaliang Li;Qi Li;Minghui Qiu

  • A Survey of Knowledge-Enhanced Text Generation.

    Wenhao Yu;Chenguang Zhu;Zaitang Li;Zhiting Hu

  • Document-Level Event Argument Extraction by Conditional Generation

    Sha Li;Heng Ji;Jiawei Han

  • Text Classification Using Label Names Only: A Language Model Self-Training Approach

    Yu Meng;Yunyi Zhang;Jiaxin Huang;Chenyan Xiong

  • A novel neural topic model and its supervised extension

    Ziqiang Cao;Sujian Li;Yang Liu;Wenjie Li

  • Zero-shot transfer learning for event extraction

    Lifu Huang;Heng Ji;Kyunghyun Cho;Ido Dagan

  • The Age of Social Sensing

    Dong Wang;Boleslaw K. Szymanski;Tarek Abdelzaher;Heng Ji

  • Exploring Context and Content Links in Social Media: A Latent Space Method

    Guo-Jun Qi;C. Aggarwal;Qi Tian;Heng Ji

  • Zero-Shot Transfer Learning for Event Extraction

    Lifu Huang;Heng Ji;Kyunghyun Cho;Clare R. Voss

Frequent Co-Authors

Jiawei Han
Jiawei Han University of Illinois at Urbana-Champaign
Kevin Knight
Kevin Knight University of Southern California
Ralph Grishman
Ralph Grishman New York University
Shih-Fu Chang
Shih-Fu Chang Columbia University
Xiang Ren
Xiang Ren University of Southern California
Tarek Abdelzaher
Tarek Abdelzaher University of Illinois at Urbana-Champaign
Dilek Hakkani-Tur
Dilek Hakkani-Tur University of Illinois at Urbana-Champaign
Sujian Li
Sujian Li Peking University
Arkaitz Zubiaga
Arkaitz Zubiaga Queen Mary University of London
Dan Roth
Dan Roth University of Pennsylvania

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