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Computer Science

D-Index
65
Citations
17621
World Ranking
2456
National Ranking
1231

Overview

Jing Gao is affiliated with Purdue University West Lafayette in the United States and has an extensive research background primarily within the field of Computer Science, contributing to a total of 124 publications. The researcher's work spans various subfields with a focus on Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Molecular Biology, and Information Systems.

The main topics of Jing Gao's research include:

  • Topic Modeling
  • Video Surveillance and Tracking Methods
  • Natural Language Processing Techniques
  • Advanced Image and Video Retrieval Techniques
  • Adversarial Robustness in Machine Learning
  • Energy Load and Power Forecasting
  • Text and Document Classification Technologies

Among Jing Gao's recent publications are:

  • A Survey on Deep Learning for Multimodal Data Fusion, 2020, Neural Computation
  • A Survey on Causal Inference, 2021, ACM Transactions on Knowledge Discovery from Data
  • Weak Supervision for Fake News Detection via Reinforcement Learning, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • SmallTrack: Wavelet Pooling and Graph Enhanced Classification for UAV Small Object Tracking, 2023, IEEE Transactions on Geoscience and Remote Sensing
  • Adaptive Self-training for Few-shot Neural Sequence Labeling, 2020, arXiv (Cornell University)

Jing Gao frequently publishes in several venues. The main publication venues include:

  • arXiv (Cornell University)
  • Journal of Ultrasound in Medicine
  • SSRN Electronic Journal
  • Journal of Physics Conference Series
  • Proceedings of the AAAI Conference on Artificial Intelligence

The researcher has collaborated often with several co-authors, among whom the most frequent are:

  • Zhikui Chen
  • Peng Li
  • Samer Narouze
  • J. Brian Fowlkes
  • Stamatia Destounis

Best Publications

  • Outlier Detection for Temporal Data: A Survey

    Manish Gupta;Jing Gao;Charu C. Aggarwal;Jiawei Han

  • EANN: Event Adversarial Neural Networks for Multi-Modal Fake News Detection

    Yaqing Wang;Fenglong Ma;Zhiwei Jin;Ye Yuan

  • Multi-view clustering via joint nonnegative matrix factorization

    Jing Gao;Jiawei Han;Jialu Liu;Chi Wang

  • Resolving conflicts in heterogeneous data by truth discovery and source reliability estimation

    Qi Li;Yaliang Li;Jing Gao;Bo Zhao

  • Dipole: Diagnosis Prediction in Healthcare via Attention-based Bidirectional Recurrent Neural Networks

    Fenglong Ma;Radha Chitta;Jing Zhou;Quanzeng You

  • Classification and Novel Class Detection in Concept-Drifting Data Streams under Time Constraints

    Mohammad M Masud;Jing Gao;L Khan;Jiawei Han

  • A Survey on Truth Discovery

    Yaliang Li;Jing Gao;Chuishi Meng;Qi Li

  • Knowledge transfer via multiple model local structure mapping

    Jing Gao;Wei Fan;Jing Jiang;Jiawei Han

  • A Survey on Causal Inference

    Liuyi Yao;Zhixuan Chu;Sheng Li;Yaliang Li

  • A confidence-aware approach for truth discovery on long-tail data

    Qi Li;Yaliang Li;Jing Gao;Lu Su

  • Multistep-ahead time series prediction

    Haibin Cheng;Pang-Ning Tan;Jing Gao;Jerry Scripps

  • A deep learning approach for detecting traffic accidents from social media data

    Zhenhua Zhang;Qing He;Jing Gao;Ming Ni

  • On community outliers and their efficient detection in information networks

    Jing Gao;Feng Liang;Wei Fan;Chi Wang

  • A general framework for mining concept-drifting data streams with skewed distributions

    Jing Gao;Wei Fan;Jiawei Han;Philip S. Yu

  • Graph regularized transductive classification on heterogeneous information networks

    Ming Ji;Yizhou Sun;Marina Danilevsky;Jiawei Han

  • A Deep Learning Approach to Link Prediction in Dynamic Networks.

    Xiaoyi Li;Nan Du;Hui Li;Kang Li

  • FaitCrowd: Fine Grained Truth Discovery for Crowdsourced Data Aggregation

    Fenglong Ma;Yaliang Li;Qi Li;Minghui Qiu

  • Forecasting the Subway Passenger Flow Under Event Occurrences With Social Media

    Ming Ni;Qing He;Jing Gao

  • On Appropriate Assumptions to Mine Data Streams: Analysis and Practice

    Jing Gao;Wei Fan;Jiawei Han

  • Outlier Detection for Temporal Data

    Manish Gupta;Jing Gao;Charu Aggarwal;Jiawei Han

  • Representation Learning for Treatment Effect Estimation from Observational Data

    Liuyi Yao;Sheng Li;Yaliang Li;Mengdi Huai

Frequent Co-Authors

Jiawei Han
Jiawei Han University of Illinois at Urbana-Champaign
Aidong Zhang
Aidong Zhang University of Virginia
Yaliang Li
Yaliang Li Alibaba Group (China)
Lu Su
Lu Su Purdue University West Lafayette
Wei Fan
Wei Fan Tencent (China)
Nan Du
Nan Du Tencent (China)
Latifur Khan
Latifur Khan The University of Texas at Dallas
Philip S. Yu
Philip S. Yu University of Illinois at Chicago
Bhavani Thuraisingham
Bhavani Thuraisingham The University of Texas at Dallas
Pang-Ning Tan
Pang-Ning Tan Michigan State University

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