World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
56
Citations
13537
World Ranking
4052
National Ranking
1929

Research.com Recognitions

  • 2016 - Fellow of Alfred P. Sloan Foundation

Overview

Jian Peng is affiliated with the University of Illinois at Urbana-Champaign in the United States. Their research spans multiple areas within computer science and engineering, focusing particularly on artificial intelligence and computer vision.

Their main fields of study include:

  • Computer Science
  • Engineering

Within these fields, Jian Peng concentrates on several subfields such as:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Media Technology
  • Molecular Biology
  • Radiology, Nuclear Medicine and Imaging

Their research topics encompass:

  • Remote-Sensing Image Classification
  • Domain Adaptation and Few-Shot Learning
  • Advanced Image and Video Retrieval Techniques
  • Advanced Neural Network Applications
  • Adversarial Robustness in Machine Learning
  • Remote Sensing in Agriculture
  • Bacillus and Francisella bacterial research

Jian Peng has published extensively in the following venues:

  • arXiv (Cornell University)
  • Sensors
  • IEEE Transactions on Geoscience and Remote Sensing
  • SSRN Electronic Journal
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Frequent collaborators include:

  • Haifeng Li
  • Li Chen
  • Wenbo Li
  • Haozhe Huang
  • Dingqi Ye

Recent notable publications by Jian Peng include:

  • DASNet: Dual Attentive Fully Convolutional Siamese Networks for Change Detection in High-Resolution Satellite Images, 2020, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • RSI-CB: A Large-Scale Remote Sensing Image Classification Benchmark Using Crowdsourced Data, 2020, Sensors
  • An Empirical Study of Adversarial Examples on Remote Sensing Image Scene Classification, 2021, IEEE Transactions on Geoscience and Remote Sensing
  • Adversarial Examples for CNN-Based SAR Image Classification: An Experience Study, 2020, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Jian Peng received recognition as a Fellow of the Alfred P. Sloan Foundation in 2016.

Best Publications

  • Template-based protein structure modeling using the RaptorX web server

    Morten Källberg;Morten Källberg;Haipeng Wang;Sheng Wang;Jian Peng

  • A network integration approach for drug-target interaction prediction and computational drug repositioning from heterogeneous information

    Yunan Luo;Xinbin Zhao;Jingtian Zhou;Jinglin Yang

  • Protein Secondary Structure Prediction Using Deep Convolutional Neural Fields.

    Sheng Wang;Jian Peng;Jianzhu Ma;Jinbo Xu

  • DASNet: Dual Attentive Fully Convolutional Siamese Networks for Change Detection in High-Resolution Satellite Images

    Jie Chen;Ziyang Yuan;Jian Peng;Li Chen

  • Integrating satellite and climate data to predict wheat yield in Australia using machine learning approaches

    Yaping Cai;Kaiyu Guan;David Lobell;Andries B. Potgieter

  • A high-performance and in-season classification system of field-level crop types using time-series Landsat data and a machine learning approach

    Yaping Cai;Kaiyu Guan;Jian Peng;Shaowen Wang

  • Raptorx: Exploiting structure information for protein alignment by statistical inference

    Jian Peng;Jinbo Xu

  • Computational solutions for omics data

    Bonnie Berger;Jian Peng;Mona Singh

  • Variational Inference for Crowdsourcing

    Qiang Liu;Jian Peng;Alex T Ihler

  • Empower Sequence Labeling with Task-Aware Neural Language Model

    Liyuan Liu;Jingbo Shang;Frank F. Xu;Xiang Ren

  • Compact Integration of Multi-Network Topology for Functional Analysis of Genes

    Hyunghoon Cho;Bonnie Berger;Jian Peng;Jian Peng

  • Conditional Neural Fields

    Jian Peng;Liefeng Bo;Jinbo Xu

  • Protein structure alignment beyond spatial proximity

    Sheng Wang;Jianzhu Ma;Jian Peng;Jinbo Xu

  • Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation

    Yuanyi Zhong;Bodi Yuan;Hong Wu;Zhiqiang Yuan

  • emrQA: A Large Corpus for Question Answering on Electronic Medical Records

    Anusri Pampari;Preethi Raghavan;Preethi Raghavan;Jennifer J. Liang;Jian Peng

  • Robust single-cell Hi-C clustering by convolution- and random-walk-based imputation.

    Jingtian Zhou;Jingtian Zhou;Jianzhu Ma;Yusi Chen;Yusi Chen;Chuankai Cheng

  • ECNet is an evolutionary context-integrated deep learning framework for protein engineering.

    Yunan Luo;Guangde Jiang;Tianhao Yu;Yang Liu

  • Prediction of overall survival for patients with metastatic castration-resistant prostate cancer: development of a prognostic model through a crowdsourced challenge with open clinical trial data

    Justin Guinney;Tao Wang;Teemu D Laajala;Teemu D Laajala;Kimberly Kanigel Winner

  • Few-shot learning creates predictive models of drug response that translate from high-throughput screens to individual patients

    Jianzhu Ma;Jianzhu Ma;Samson H. Fong;Yunan Luo;Christopher J. Bakkenist

  • Protein 8‐class secondary structure prediction using conditional neural fields

    Zhiyong Wang;Feng Zhao;Jian Peng;Jinbo Xu

  • Protein 8-class secondary structure prediction using Conditional Neural Fields

    Zhiyong Wang;Feng Zhao;Jian Peng;Jinbo Xu

  • Protein structure alignment beyond spatial proximity

    Sheng Wang;Jianzhu Ma;Jian Peng;Jinbo Xu

  • Quality score compression improves genotyping accuracy

    Yun William Yu;Deniz Yorukoglu;Jian Peng;Bonnie Berger Leighton

  • Widespread Macromolecular Interaction Perturbations in Human Genetic Disorders

    Jian Peng;George Jay Tucker;Alexander T. Leighton;Bonnie Berger Leighton

Frequent Co-Authors

Jinbo Xu
Jinbo Xu Toyota Technological Institute at Chicago
Jiawei Han
Jiawei Han University of Illinois at Urbana-Champaign
Trey Ideker
Trey Ideker University of California, San Diego
Kaiyu Guan
Kaiyu Guan University of Illinois at Urbana-Champaign
Alexander G. Schwing
Alexander G. Schwing University of Illinois at Urbana-Champaign
Jonathan M. Carlson
Jonathan M. Carlson Microsoft (United States)
Xiang Ren
Xiang Ren University of Southern California
Anne-Claude Gingras
Anne-Claude Gingras Lunenfeld-Tanenbaum Research Institute

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