World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
10899
World Ranking
6402
National Ranking
2858

Overview

Sheng Li is affiliated with the University of Virginia in the United States and has an extensive publication record across multiple fields, primarily in computer science and engineering. Their research spans artificial intelligence, molecular biology, computer vision and pattern recognition, biomedical engineering, and computational mechanics.

The scientist's main topics of work include:

  • Domain Adaptation and Few-Shot Learning
  • Topic Modeling
  • Adversarial Robustness in Machine Learning
  • Genomics and Phylogenetic Studies
  • Machine Learning in Bioinformatics
  • Advanced Causal Inference Techniques
  • Advanced Graph Neural Networks

Among their recent publications are:

  • A Survey on Causal Inference (2021), published in ACM Transactions on Knowledge Discovery from Data
  • Climate change: Strategies for mitigation and adaptation (2023), published in The Innovation Geoscience
  • AugGPT: Leveraging ChatGPT for Text Data Augmentation (2023), published in arXiv (Cornell University)
  • A high-efficiency and sustainable leaching process of vanadium from shale in sulfuric acid systems enhanced by ultrasound (2020), published in Separation and Purification Technology
  • Deep evolutionary analysis reveals the design principles of fold A glycosyltransferases (2020), published in eLife

Sheng Li frequently collaborates with other researchers, with notable coauthors including:

  • Zhixuan Chu
  • Ronghang Zhu
  • Xin Yin
  • Yu Jiang
  • Lingkai Kong

In terms of publication venues, Sheng Li has contributed most notably to:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Mitochondrial DNA Part B
  • SSRN Electronic Journal
  • IEEE Transactions on Big Data

The scientist has also contributed to book publications, including a title published by Frontiers Media:

  • Leveraging Machine Learning for Omics-driven Biomarker Discovery (2023)

Best Publications

  • McPAT: an integrated power, area, and timing modeling framework for multicore and manycore architectures

    Sheng Li;Jung Ho Ahn;Richard D. Strong;Jay B. Brockman

  • Deep Collaborative Filtering via Marginalized Denoising Auto-encoder

    Sheng Li;Jaya Kawale;Yun Fu

  • Detecting and correcting systematic variation in large-scale RNA sequencing data

    Sheng Li;Paweł P Łabaj;Paul Zumbo;Peter Sykacek

  • A Survey on Causal Inference

    Liuyi Yao;Zhixuan Chu;Sheng Li;Yaliang Li

  • Scene Graph Generation With External Knowledge and Image Reconstruction

    Jiuxiang Gu;Handong Zhao;Zhe Lin;Sheng Li

  • A domain-specific supercomputer for training deep neural networks

    Norman P. Jouppi;Doe Hyun Yoon;George Kurian;Sheng Li

  • Advanced Wearable Microfluidic Sensors for Healthcare Monitoring

    Sheng Li;Zhong Ma;Zhonglin Cao;Lijia Pan

  • ChatAug: Leveraging ChatGPT for Text Data Augmentation

    Unknown

  • Representation Learning for Treatment Effect Estimation from Observational Data

    Liuyi Yao;Sheng Li;Yaliang Li;Mengdi Huai

  • Learning Robust and Discriminative Subspace With Low-Rank Constraints

    Sheng Li;Yun Fu

  • From Ensemble Clustering to Multi-View Clustering.

    Zhiqiang Tao;Hongfu Liu;Sheng Li;Zhengming Ding

  • Fast Spatio-Temporal Residual Network for Video Super-Resolution

    Sheng Li;Fengxiang He;Bo Du;Lefei Zhang

  • Graph Adaptive Knowledge Transfer for Unsupervised Domain Adaptation

    Zhengming Ding;Sheng Li;Ming Shao;Yun Fu

  • Learning low-rank and discriminative dictionary for image classification ☆

    Liangyue Li;Sheng Li;Yun Fu

  • Face Recognition Based on Deep Learning

    Unknown

  • Cross-view projective dictionary learning for person re-identification

    Sheng Li;Ming Shao;Yun Fu

  • Temporal Subspace Clustering for Human Motion Segmentation

    Sheng Li;Kang Li;Yun Fu

  • Faster CNNs with Direct Sparse Convolutions and Guided Pruning

    Jongsoo Park;Sheng Li;Wei Wen;Ping Tak Peter Tang

  • Infinite Ensemble for Image Clustering

    Hongfu Liu;Ming Shao;Sheng Li;Yun Fu

  • Pivot Approach for Extracting Paraphrase Patterns from Bilingual Corpora

    Shiqi Zhao;Haifeng Wang;Ting Liu;Sheng Li

  • Deep evolutionary analysis reveals the design principles of fold A glycosyltransferases.

    Rahil Taujale;Aarya Venkat;Liang-Chin Huang;Zhongliang Zhou

  • Visual to Text: Survey of Image and Video Captioning

    Sheng Li;Zhiqiang Tao;Kang Li;Yun Fu

  • Marginalized Multiview Ensemble Clustering

    Zhiqiang Tao;Hongfu Liu;Sheng Li;Zhengming Ding

  • Co-embedding of Nodes and Edges with Graph Neural Networks.

    Xiaodong Jiang;Ronghang Zhu;Sheng Li;Pengsheng Ji

  • Person Re-Identification by Cross-View Multi-Level Dictionary Learning

    Sheng Li;Ming Shao;Yun Fu

  • Learning Balanced and Unbalanced Graphs via Low-Rank Coding

    Sheng Li;Yun Fu

  • CensNet: Convolution with Edge-Node Switching in Graph Neural Networks.

    Xiaodong Jiang;Pengsheng Ji;Sheng Li

Frequent Co-Authors

Yun Fu
Yun Fu Northeastern University
Xiao-Yuan Jing
Xiao-Yuan Jing Wuhan University
Zhao Zhang
Zhao Zhang Hefei University of Technology
Zhengming Ding
Zhengming Ding Tulane University
Guangcan Liu
Guangcan Liu Southeast University
Yaliang Li
Yaliang Li Alibaba Group (China)
Shuicheng Yan
Shuicheng Yan National University of Singapore
Jingyu Yang
Jingyu Yang Nanjing University of Science and Technology
David Zhang
David Zhang Chinese University of Hong Kong, Shenzhen
Jing Gao
Jing Gao Purdue University West Lafayette

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