World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
53
Citations
41967
World Ranking
4669
National Ranking
626

Overview

Sinno Jialin Pan is affiliated with the Chinese University of Hong Kong in China. Their academic focus lies primarily in the field of Computer Science, with a strong emphasis on Artificial Intelligence and related subfields.

The scientist's research encompasses subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Signal Processing, and Electrical and Electronic Engineering.

Sinno Jialin Pan's work spans various topics, notably:

  • Domain Adaptation and Few-Shot Learning
  • Topic Modeling
  • Machine Learning and Algorithms
  • Multimodal Machine Learning Applications
  • Natural Language Processing Techniques
  • Context-Aware Activity Recognition Systems
  • Anomaly Detection Techniques and Applications

They have contributed extensively to academic literature, with several recent papers including:

  • Latent Independent Excitation for Generalizable Sensor-based Cross-Person Activity Recognition, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • Sentiment Analysis in the Era of Large Language Models: A Reality Check, 2023, arXiv (Cornell University)
  • Semantic-Discriminative Mixup for Generalizable Sensor-based Cross-domain Activity Recognition, 2022, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
  • Integrating Deep Learning with Logic Fusion for Information Extraction, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • AdaRNN: Adaptive Learning and Forecasting of Time Series, 2021, arXiv (Cornell University)

The scientist frequently publishes in venues such as:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
  • ACM Transactions on Information Systems

Frequent co-authors collaborating with Sinno Jialin Pan include:

  • Qiang Yang
  • Wenyuan Dai
  • Yu Zhang
  • Wenya Wang
  • Tianze Luo

Their scholarly contributions include book publications with publishers such as Springer Science+Business Media and Cambridge University Press. Notable titles include:

  • Advances in Knowledge Discovery and Data Mining, 2020
  • Transfer Learning, 2020

Best Publications

  • A Survey on Transfer Learning

    Sinno Jialin Pan;Qiang Yang

  • Domain Adaptation via Transfer Component Analysis

    Sinno Jialin Pan;Ivor W Tsang;James T Kwok;Qiang Yang

  • Domain Generalization with Adversarial Feature Learning

    Haoliang Li;Sinno Jialin Pan;Shiqi Wang;Alex C. Kot

  • Cross-domain sentiment classification via spectral feature alignment

    Sinno Jialin Pan;Xiaochuan Ni;Jian-Tao Sun;Qiang Yang

  • Transfer learning via dimensionality reduction

    Sinno Jialin Pan;James T. Kwok;Qiang Yang

  • Adaptation Regularization: A General Framework for Transfer Learning

    Mingsheng Long;Jianmin Wang;Guiguang Ding;Sinno Jialin Pan

  • Transfer defect learning

    Jaechang Nam;Sinno Jialin Pan;Sunghun Kim

  • Heterogeneous transfer learning for image classification

    Yin Zhu;Yuqiang Chen;Zhongqi Lu;Sinno Jialin Pan

  • Recursive Neural Conditional Random Fields for Aspect-based Sentiment Analysis

    Wenya Wang;Sinno Jialin Pan;Daniel Dahlmeier;Xiaokui Xiao

  • Coupled Multi-Layer Attentions for Co-Extraction of Aspect and Opinion Terms.

    Wenya Wang;Sinno Jialin Pan;Daniel Dahlmeier;Xiaokui Xiao

  • Transfer Learning

    Unknown

  • Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain Surgeon

    Xin Dong;Shangyu Chen;Sinno Jialin Pan

  • Supervised representation learning: transfer learning with deep autoencoders

    Fuzhen Zhuang;Xiaohu Cheng;Ping Luo;Sinno Jialin Pan

  • HYDRA: Massively Compositional Model for Cross-Project Defect Prediction

    Xin Xia;David Lo;Sinno Jialin Pan;Nachiappan Nagappan

  • AdaRNN: Adaptive Learning and Forecasting of Time Series

    Yuntao Du;Jindong Wang;Wenjie Feng;Sinno Pan

  • Transfer Learning

    Unknown

  • Short and sparse text topic modeling via self-aggregation

    Xiaojun Quan;Chunyu Kit;Yong Ge;Sinno Jialin Pan

  • Cross-Domain Co-Extraction of Sentiment and Topic Lexicons

    Fangtao Li;Sinno Jialin Pan;Ou Jin;Qiang Yang

  • Hybrid heterogeneous transfer learning through deep learning

    Joey Tianyi Zhou;Sinno Jialin Pan;Ivor W. Tsang;Yan Yan

  • A Unified Framework for Metric Transfer Learning

    Yonghui Xu;Sinno Jialin Pan;Hui Xiong;Qingyao Wu

  • Adaptive transfer learning

    Bin Cao;Sinno Jialin Pan;Yu Zhang;Dit-Yan Yeung

  • Distant Domain Transfer Learning

    Ben Tan;Yu Zhang;Sinno Jialin Pan;Qiang Yang

Frequent Co-Authors

Qiang Yang
Qiang Yang Hong Kong University of Science and Technology
Ivor W. Tsang
Ivor W. Tsang Agency for Science, Technology and Research
Joey Tianyi Zhou
Joey Tianyi Zhou Agency for Science, Technology and Research
Vincent W. Zheng
Vincent W. Zheng Agency for Science, Technology and Research
Qing He
Qing He University of Chinese Academy of Sciences
Jun Luo
Jun Luo Nanyang Technological University
James T. Kwok
James T. Kwok Hong Kong University of Science and Technology
Fuzhen Zhuang
Fuzhen Zhuang Beihang University
Chunyan Miao
Chunyan Miao Nanyang Technological University
Mingkui Tan
Mingkui Tan South China University of Technology

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