World's Best Scientists 2026 revealed!

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Computer Science

D-Index
64
Citations
31147
World Ranking
2517
National Ranking
1255

Overview

Xiaolong Wang is affiliated with the University of California, San Diego, in the United States. Their research primarily spans the fields of Engineering and Materials Science, with significant contributions in related subfields such as Biomedical Engineering, Mechanical Engineering, Materials Chemistry, Electrical and Electronic Engineering, and Automotive Engineering.

Their scholarly output includes a focus on several key topics including Additive Manufacturing and 3D Printing Technologies, Advanced Sensor and Energy Harvesting Materials, Advanced Materials and Mechanics, Catalytic Processes in Materials Science, Surface Modification and Superhydrophobicity, 3D Printing in Biomedical Research, and Adhesion, Friction, and Surface Interactions.

Wang has frequently published in a range of scientific journals. The venues where they have the most publications include:

  • Chemical Engineering Journal
  • Tribology International
  • Advanced Functional Materials
  • Small
  • SSRN Electronic Journal

Their collaborative network features several frequent coauthors with whom they have published multiple times. Notable collaborators include Zhongying Ji, Pan Jiang, Desheng Liu, Xin Jia, and Yaozhong Lu.

Recent papers authored or coauthored by Xiaolong Wang illustrate the breadth of their research interests and engagement with advanced material sciences and engineering challenges. Selected publications include:

  • "Tough, Transparent, and Slippery PVA Hydrogel Led by Syneresis," 2023, Small
  • "3D Printing of Dual-Physical Cross-linking Hydrogel with Ultrahigh Strength and Toughness," 2020, Chemistry of Materials
  • "3D printing of metal-organic frameworks decorated hierarchical porous ceramics for high-efficiency catalytic degradation," 2020, Chemical Engineering Journal
  • "Strong and Ultra-Tough Supramolecular Hydrogel Enabled by Strain-Induced Microphase Separation," 2022, Advanced Functional Materials
  • "High-performance Cu/ZnO/Al2O3 catalysts for methanol steam reforming with enhanced Cu-ZnO synergy effect via magnesium assisted strategy," 2021, Journal of Energy Chemistry

The range of these publications highlights their involvement in topics including hydrogels with novel mechanical properties, 3D printing applications in material science, catalytic processes, and supramolecular hydrogel technology.

Best Publications

  • Non-local Neural Networks

    Xiaolong Wang;Ross Girshick;Abhinav Gupta;Kaiming He

  • Hollywood in Homes: Crowdsourcing Data Collection for Activity Understanding

    Gunnar A. Sigurdsson;Gül Varol;Xiaolong Wang;Ali Farhadi;Ali Farhadi

  • Unsupervised Learning of Visual Representations Using Videos

    Xiaolong Wang;Abhinav Gupta

  • Videos as Space-Time Region Graphs

    Xiaolong Wang;Abhinav Gupta

  • A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection

    Xiaolong Wang;Abhinav Shrivastava;Abhinav Gupta

  • Learning Continuous Image Representation with Local Implicit Image Function

    Yinbo Chen;Sifei Liu;Xiaolong Wang

  • Generative Image Modeling Using Style and Structure Adversarial Networks

    Xiaolong Wang;Abhinav Gupta

  • Zero-Shot Recognition via Semantic Embeddings and Knowledge Graphs

    Xiaolong Wang;Yufei Ye;Abhinav Gupta

  • Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning

    Yinbo Chen;Zhuang Liu;Huijuan Xu;Trevor Darrell

  • 3D Human Pose Estimation in the Wild by Adversarial Learning

    Wei Yang;Wanli Ouyang;Xiaolong Wang;Jimmy Ren

  • Designing deep networks for surface normal estimation

    Xiaolong Wang;David F. Fouhey;Abhinav Gupta

  • Predicting Polarities of Tweets by Composing Word Embeddings with Long Short-Term Memory

    Xin Wang;Yuanchao Liu;Chengjie Sun;Baoxun Wang

  • Learning Natural Language Inference using Bidirectional LSTM model and Inner-Attention

    Yang Liu;Chengjie Sun;Lei Lin;Xiaolong Wang

  • Test-Time Training with Self-Supervision for Generalization under Distribution Shifts

    Yu Sun;Xiaolong Wang;Zhuang Liu;John Miller

  • Deeply-Learned Feature for Age Estimation

    Xiaolong Wang;Rui Guo;Chandra Kambhamettu

  • Efficient generation of mouse models with the prime editing system.

    Yao Liu;Xiangyang Li;Siting He;Shuhong Huang

  • Visual Semantic Navigation using Scene Priors

    Wei Yang;Xiaolong Wang;Ali Farhadi;Abhinav Gupta

  • Transitive Invariance for Self-Supervised Visual Representation Learning

    Xiaolong Wang;Kaiming He;Abhinav Gupta

  • Entity recognition from clinical texts via recurrent neural network

    Zengjian Liu;Ming Yang;Xiaolong Wang;Qingcai Chen

  • Active deep learning method for semi-supervised sentiment classification

    Shusen Zhou;Qingcai Chen;Xiaolong Wang

  • A New Meta-Baseline for Few-Shot Learning

    Yinbo Chen;Xiaolong Wang;Zhuang Liu;Huijuan Xu

Frequent Co-Authors

Feng Zhou
Feng Zhou Lanzhou Institute of Chemical Physics
Abhinav Gupta
Abhinav Gupta Carnegie Mellon University
Chandra Kambhamettu
Chandra Kambhamettu University of Delaware
Bo Yu
Bo Yu Chinese Academy of Sciences
Weimin Liu
Weimin Liu Chinese Academy of Sciences
Ruifeng Xu
Ruifeng Xu Harbin Institute of Technology
Xingxu Huang
Xingxu Huang First Affiliated Hospital Zhejiang University
Jun Yang
Jun Yang University of Western Ontario
Kuo-Chen Chou
Kuo-Chen Chou The Gordon Life Science Institute
Liang Lin
Liang Lin Sun Yat-sen University

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