Yanli Ji

About

Yanli Ji is a prominent researcher specializing in human-robot interaction (HRI), human action recognition, and computer vision, with a particular focus on bridging the gap between machine perception and natural human behavior. Her work has made substantial contributions to enabling robots to understand, predict, and respond to human actions in real-world settings. Among her most significant achievements is the development of large-scale RGB-D databases for arbitrary-view human action recognition, addressing a critical gap in training data for HRI applications. Her 2018 database paper (77 citations) and subsequent varying-view datasets have become foundational resources in the field. Her comprehensive survey on human action analysis in HRI applications (89 citations) remains a widely referenced framework for researchers entering the domain. Ji has also advanced facial expression recognition through innovative cross-domain feature fusion networks (84 citations) and pioneered view-invariant action recognition techniques, including attention transfer mechanisms that handle occlusion and perspective challenges. Her early recognition work using one-shot learning further demonstrates her versatility across machine learning paradigms. With over 370 cumulative citations, Ji's research consistently tackles practical challenges in making human-robot interaction more natural, fluid, and robust — positioning her as an influential voice in intelligent systems and social robotics research.

Research Focus

Key Achievements

Top Papers

1. 1
   A Survey of Human Action Analysis in HRI Applications

   89 citations · 2019
2. 2
   Cross-domain facial expression recognition via an intra-category common feature and inter-category Distinction feature fusion network

   84 citations · 2018
3. 3
   A Large-scale RGB-D Database for Arbitrary-view Human Action Recognition

   77 citations · 2018
4. 4
   Arbitrary-View Human Action Recognition: A Varying-View RGB-D Action Dataset

   39 citations · 2020
5. 5
   One-shot learning based pattern transition map for action early recognition

   32 citations · 2017
6. 6
   A Large-scale Varying-view RGB-D Action Dataset for Arbitrary-view Human Action Recognition

   18 citations · 2019
7. 7
   Attention Transfer (ANT) Network for View-invariant Action Recognition

   17 citations · 2019
8. 8
   View-invariant action recognition via Unsupervised AttentioN Transfer (UANT)

   12 citations · 2021
9. 9
   A Survey on Media Interaction in Social Robotics

   9 citations · 2015
10. 10
    Real-Time Understanding of Abnormal Crowd Behavior on Social Robots

    2 citations · 2015

Key Collaborators

Contact & Links