World's Best Scientists 2026 revealed!

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Computer Science

D-Index
66
Citations
20658
World Ranking
2294
National Ranking
315

Overview

Liwei Wang is a researcher affiliated with Peking University in China, specializing primarily in the field of Engineering. Their work spans several subfields including Mechanical Engineering, Materials Chemistry, Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment, and Civil and Structural Engineering.

Their research topics cover a range of specialized areas such as:

  • Adsorption and Cooling Systems
  • Phase Change Materials Research
  • Refrigeration and Air Conditioning Technologies
  • Thermodynamic and Exergetic Analyses of Power and Cooling Systems
  • Carbon Dioxide Capture Technologies
  • Advanced Battery Technologies Research
  • Solar-Powered Water Purification Methods

Liwei Wang has coauthored multiple publications with several frequent collaborators including Guoliang An, Chen Zhang, Shaofei Wu, Xinqi Zhang, and Ting Yan.

Their recent scholarly contributions include:

  • Deep generative modeling for mechanistic-based learning and design of metamaterial systems, 2020, published in Computer Methods in Applied Mechanics and Engineering
  • Data-Driven Topology Optimization With Multiclass Microstructures Using Latent Variable Gaussian Process, 2020, published in Journal of Mechanical Design

In addition to these, the most cited related works in the dataset highlight developments in 3D point cloud segmentation and materials science:

  • Stratified Transformer for 3D Point Cloud Segmentation, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Dissolution kinetics of the sulfide-oxide complex inclusion and resulting localized corrosion mechanism of X70 steel in deaerated acidic environment, 2020, Corrosion Science
  • High-performance cellulose nanofiber-derived composite films for efficient thermal management of flexible electronic devices, 2022, Chemical Engineering Journal

Liwei Wang has also contributed to book publications, notably with Springer Nature: Property and Energy Conversion Technology of Solid Composite Sorbents (2021).

Their research has been disseminated in several publication venues, most notably:

  • Applied Thermal Engineering
  • arXiv (Cornell University)
  • Chemical Engineering Journal
  • Energy
  • Energy Conversion and Management

Best Publications

  • Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models

    Bryan A. Plummer;Liwei Wang;Chris M. Cervantes;Juan C. Caicedo

  • Multi-scale Orderless Pooling of Deep Convolutional Activation Features

    Yunchao Gong;Liwei Wang;Ruiqi Guo;Svetlana Lazebnik

  • RepPoints: Point Set Representation for Object Detection

    Ze Yang;Shaohui Liu;Han Hu;Liwei Wang

  • Learning Deep Structure-Preserving Image-Text Embeddings

    Liwei Wang;Yin Li;Svetlana Lazebnik

  • On the Euclidean distance of images

    Liwei Wang;Yan Zhang;Jufu Feng

  • Dual learning for machine translation

    Di He;Yingce Xia;Tao Qin;Liwei Wang

  • The expressive power of neural networks: a view from the width

    Zhou Lu;Hongming Pu;Feicheng Wang;Zhiqiang Hu

  • Gradient descent finds global minima of deep neural networks

    Simon S. Du;Jason D. Lee;Haochuan Li;Liwei Wang

  • Learning to Navigate for Fine-grained Classification

    Ze Yang;Tiange Luo;Dong Wang;Zhiqiang Hu

  • Bayesian face revisited: a joint formulation

    Dong Chen;Xudong Cao;Liwei Wang;Fang Wen

  • Learning Two-Branch Neural Networks for Image-Text Matching Tasks

    Liwei Wang;Yin Li;Jing Huang;Svetlana Lazebnik

  • A Fast and Accurate One-Stage Approach to Visual Grounding

    Zhengyuan Yang;Boqing Gong;Liwei Wang;Wenbing Huang

  • Accurate Pulmonary Nodule Detection in Computed Tomography Images Using Deep Convolutional Neural Networks

    Jia Ding;Aoxue Li;Zhiqiang Hu;Liwei Wang

  • Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models

    Bryan A. Plummer;Liwei Wang;Chris M. Cervantes;Juan C. Caicedo

  • On Layer Normalization in the Transformer Architecture

    Ruibin Xiong;Yunchang Yang;Di He;Kai Zheng

  • Dual Learning for Machine Translation

    Yingce Xia;Di He;Tao Qin;Liwei Wang

  • Memory Enhanced Global-Local Aggregation for Video Object Detection

    Yihong Chen;Yue Cao;Han Hu;Liwei Wang

  • Improving Image-Sentence Embeddings Using Large Weakly Annotated Photo Collections

    Yunchao Gong;Liwei Wang;Micah Hodosh;Julia Hockenmaier

  • A Theoretical Analysis of NDCG Type Ranking Measures

    Yining Wang;Liwei Wang;Yuanzhi Li;Di He

  • Semi-Supervised Learning

    Xueyuan Zhou;Mikhail Belkin

  • A Theoretical Analysis of NDCG Type Ranking Measures

    Yining Wang;Liwei Wang;Yuanzhi Li;Di He

Frequent Co-Authors

Tie-Yan Liu
Tie-Yan Liu Microsoft (United States)
Jiaya Jia
Jiaya Jia Hong Kong University of Science and Technology
Svetlana Lazebnik
Svetlana Lazebnik University of Illinois at Urbana-Champaign
Han Hu
Han Hu Microsoft Research Asia (China)
John E. Hopcroft
John E. Hopcroft Cornell University
Tao Qin
Tao Qin Microsoft (United States)
Yin Li
Yin Li Chinese Academy of Sciences
Ji-Rong Wen
Ji-Rong Wen Renmin University of China
Wei Chen
Wei Chen Zhejiang University
Alexander G. Schwing
Alexander G. Schwing University of Illinois at Urbana-Champaign

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