World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
56
Citations
11736
World Ranking
4103
National Ranking
545

Research.com Recognitions

  • 2021 - IEEE Fellow For contributions to visual text analysis and visual model analysis

Overview

Shixia Liu is affiliated with Tsinghua University in China, where they focus on interdisciplinary research primarily in the field of Materials Science. Their contributions span various subfields including Materials Chemistry, Atomic and Molecular Physics and Optics, Artificial Intelligence, Computer Vision and Pattern Recognition, and Electrical and Electronic Engineering.

The main topics of Shixia Liu's research cover a diverse range of scientific areas: crystallization and solubility studies, X-ray diffraction in crystallography, surface chemistry and catalysis, data visualization and analytics, molecular junctions and nanostructures, graphene research and applications, as well as quantum and electron transport phenomena.

Shixia Liu has published extensively in several venues, demonstrating a strong presence in their research community. Frequent publication outlets include:

  • arXiv (Cornell University)
  • The Cambridge Structural Database
  • IEEE Transactions on Visualization and Computer Graphics
  • Angewandte Chemie International Edition
  • Angewandte Chemie

The scientist has collaborated with a number of frequent coauthors, with whom they have produced several publications:

  • Silvio Decurtins
  • Robert Häner
  • Ulrich Aschauer
  • Rémy Pawlak
  • Ernst Meyer

Among the recent papers credited to Shixia Liu are works published in 2020 that address diverse areas such as machine learning visual analytics, materials synthesis, and deep learning geometry. Key examples include:

  • A survey of visual analytics techniques for machine learning, 2020, Computational Visual Media
  • Bottom-up Synthesis of Nitrogen-Doped Porous Graphene Nanoribbons, 2020, Journal of the American Chemical Society
  • A Geometric Understanding of Deep Learning, 2020, Engineering
  • OoDAnalyzer: Interactive Analysis of Out-of-Distribution Samples, 2020, IEEE Transactions on Visualization and Computer Graphics
  • Preserving Minority Structures in Graph Sampling, 2020, IEEE Transactions on Visualization and Computer Graphics

Shixia Liu has received the IEEE Fellow award in 2021 for contributions related to visual text analysis and visual model analysis, reflecting recognition within the professional community for specific research achievements.

Best Publications

  • Towards Better Analysis of Deep Convolutional Neural Networks

    Mengchen Liu;Jiaxin Shi;Zhen Li;Chongxuan Li

  • TextFlow: Towards Better Understanding of Evolving Topics in Text

    Weiwei Cui;Shixia Liu;Li Tan;Conglei Shi

  • A survey on information visualization: recent advances and challenges

    Shixia Liu;Weiwei Cui;Yingcai Wu;Mengchen Liu

  • Towards better analysis of machine learning models: A visual analytics perspective

    Shixia Liu;Xiting Wang;Mengchen Liu;Jun Zhu

  • Context preserving dynamic word cloud visualization

    Weiwei Cui;Yingcai Wu;Shixia Liu;Furu Wei

  • Context-Preserving, Dynamic Word Cloud Visualization

    Weiwei Cui;Yingcai Wu;Shixia Liu;Furu Wei

  • TIARA: a visual exploratory text analytic system

    Furu Wei;Shixia Liu;Yangqiu Song;Shimei Pan

  • Visual Analytics for Explainable Deep Learning

    Jaegul Choo;Shixia Liu

  • Visual method and apparatus for enhancing search result navigation

    Shixia Liu;Zhong Su

  • StoryFlow: Tracking the Evolution of Stories

    Shixia Liu;Yingcai Wu;Enxun Wei;Mengchen Liu

  • A Survey of Visual Analytics Techniques and Applications: State-of-the-Art Research and Future Challenges

    Guo-Dao Sun;Ying-Cai Wu;Rong-Hua Liang;Shi-Xia Liu

  • OpinionSeer: Interactive Visualization of Hotel Customer Feedback

    Yingcai Wu;Furu Wei;Shixia Liu;Norman Au

  • Whisper: Tracing the Spatiotemporal Process of Information Diffusion in Real Time

    Nan Cao;Yu-Ru Lin;Xiaohua Sun;D. Lazer

  • Breaking news on twitter

    Mengdie Hu;Shixia Liu;Furu Wei;Yingcai Wu

  • A survey of visual analytics techniques for machine learning

    Jun Yuan;Changjian Chen;Weikai Yang;Mengchen Liu

  • OpinionFlow: Visual Analysis of Opinion Diffusion on Social Media

    Yingcai Wu;Shixia Liu;Kai Yan;Mengchen Liu

  • TIARA: Interactive, Topic-Based Visual Text Summarization and Analysis

    Shixia Liu;Michelle X. Zhou;Shimei Pan;Yangqiu Song

  • FacetAtlas: Multifaceted Visualization for Rich Text Corpora

    Nan Cao;Jimeng Sun;Yu-Ru Lin;D Gotz

  • Automatic taxonomy construction from keywords

    Xueqing Liu;Yangqiu Song;Shixia Liu;Haixun Wang

  • Analyzing the Training Processes of Deep Generative Models

    Mengchen Liu;Jiaxin Shi;Kelei Cao;Jun Zhu

  • Visual Analysis of Topic Competition on Social Media

    Panpan Xu;Yingcai Wu;Enxun Wei;Tai-Quan Peng

Frequent Co-Authors

Nan Cao
Nan Cao Tongji University
Yangqiu Song
Yangqiu Song Hong Kong University of Science and Technology
Michelle X. Zhou
Michelle X. Zhou IBM (United States)
Weihong Qian
Weihong Qian Peking University
Yingcai Wu
Yingcai Wu Zhejiang University
Huamin Qu
Huamin Qu Hong Kong University of Science and Technology
Furu Wei
Furu Wei Microsoft (United States)
Baining Guo
Baining Guo Microsoft (United States)
Martin Wattenberg
Martin Wattenberg Harvard University
Shi-Min Hu
Shi-Min Hu Tsinghua University

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