Yan Pang

Associate professor at the Institute of Artificial Intelligence at Guangzhou University, China.

Dr. Pang received the Ph.D. degree from the University of Colorado in 2021. His research interests span machine learning, computer vision, efficient deep learning, etc.

From April 2021 to May 2022, Dr. Pang was a machine learning scientist at Moffett AI, Los Altos, CA. From Aug. 2018 to May 2021, he was the instructor in Department of Electrical Engineering at University of Colorado Denver, and the Department of Electrical Engineering Technology at Metropolitan State University of Denver, US.

Address: Guangzhou Higher Education Mega Center, Guangzhou 510006 China | Email: yanpang@gzhu.edu.cn
Research Interests

My research focuses on the broad areas of machine learning, deep learning and their applications on computer vision. Specifically, I focus on

  • Medical Image Analysis
  • Graph Neural Networks
  • Semantic Segmentation
  • Object Detection
  • Key Points Detection
  • Multimodal Learning
  • Knowledge Distillation
  • Photography
News
  • [Oct 19, 2024] NEW: Honored to be named one of the best ACs for PRCV2024! Excited to contribute to this leading conference in computer vision.
  • [Oct 18, 2024] NEW: šŸŽ‰ Success! Papers 1458, 1464, and 1468 from our group are presented at PRCV 2024 in Urumqi. Proud of my students' contributions to the field!
  • [Apr 21, 2024] One paper is published in the Journal of IEEE Transactions on Instrumentation and Measurement. (IF: 5.6). Code is released.
  • [Oct 20, 2023] One paper is published in the Journal of IEEE Transactions on Medical Imaging. (IF: 10.6). Code is released.
  • [Aug 14, 2023] One paper is published in the Journal of IEEE Transactions on Neural Networks and Learning Systems. (IF: 10.4).
  • [Feb 07, 2023] One paper published in the Journal of Information Sciences (IF: 8.233).
  • [Jan 06, 2023] Become a topic editor of the "AI and Data-Driven Advancements in Industry 4.0". Welcome to submit your papers on AI.
  • [Aug 15, 2022] Joined to Guangzhou University, Guangdong.
  • [Jul 25, 2022] Two papers published in the Journal of International Journal of Intelligent Systems ļ¼ˆIFļ¼š8.993ļ¼‰.
  • [Dec 18, 2021] Received my Ph.D. degree.
  • [Aug 01, 2021] One paper published in the Journal of Geophysical Research Letters (IF: 5.58).
  • [Apr 12, 2021] Joined to Moffett AI, Los Altos, CA.
  • [Nov 01, 2020] One paper is published in the Journal of Computers and Electronics in Agriculture.
  • [Mar 01, 2020] One paper is published in the Journal of Neuroscience Method.
  • [Apr 24, 2019] One paper is accepted to Science and Information Conference
Educations
  • 2017.08 - 2021.12, University of Colorado, Dept. of Electrical Engineering, Ph.D.
  • 2015.08 - 2017.05, University of Wyoming, Dept. of Electrical and Computer Engineering, Ph.D. Student
  • 2010.09 - 2013.05, Politecnico di Torino, Dept. of Electrical Engineering, Master
  • 2005.09 - 2009.05, Henan Polytechnic University, Dept. of Automation, Bachelor
Recent Publications
Teng Huang, Yile Hong; Yan Pang *, Jiaming Liang, Jie Hong, Lin Huang, Yuan Zhang, Yan Jia, Patrizia Savi
AdaptFormer: An Adaptive Hierarchical Semantic Approach for Change Detection on Remote Sensing Images
IEEE Transactions on Instrumentation and Measurement
Yan Pang, Jiaming Liang, Teng Huang, Hao Chen, Yunhao Li, Dan Li, Lin Huang, Qiong Wang
Slim UNETR: Scale Hybrid Transformers to Efficient 3D Medical Image Segmentation Under Limited Computational Resources
IEEE Transactions on Medical Imaging
Zhen Wang, Yang Zhang, Yan Pang *, Nannan Wang, Mohamed Jaward Bah, Ke Li, Ji Zhang
Toward Learning Joint Inference Tasks for IASS-MTS Using Dual Attention Memory With Stochastic Generative Imputation
IEEE Transactions on Neural Networks and Learning Systems
Teng Huang, Jiahui Huang, Yan Pang *, Hongyang Yan
Smart Contract Watermarking Based on Code Obfuscation
Information Sciences
Yan Pang, Ai Shan, Zhen Wang, Mengyu Wang, Jianwei Li, Ji Zhang, Teng Huang, Chao Liu
Sparse-Dyn: Sparse dynamic graph multirepresentation learning via event-based sparse temporal attention network
International Journal of Intelligent Systems
Yan Pang, Teng Huang, Zhen Wang, Jianwei Li, Poorya Hosseini, Ji Zhang, Chao Liu, Shan Ai
Graph Decipher: A transparent dual-attention graph neural network to understand the message-passing mechanism for the node classification
International Journal of Intelligent Systems
Vijay Harid, Chao Liu, Yan Pang, Akimun Jannat Alvina, Mark Golkowski, Poorya Hosseini, Morris Cohen
Automated Largeā€Scale Extraction of Whistlers Using Maskā€Scoring Regional Convolutional Neural Network
Geophysical Research Letters
Yan Pang, Yeyin Shi, Shancheng Gao, Feng Jiang, Arun-Narenthiran Veeranampalayam-Sivakumar, Laura Thompson, Joe Luck, Chao Liu
Improved crop row detection with deep neural network for early-season maize stand count in UAV imagery
Computers and Electronics in Agriculture
Yan Pang, Jake Christenson, Feng Jiang, Tim Lei, Remy Rhoades, Drew Kern, John A Thompson, Chao Liu
Automatic detection and quantification of hand movements toward development of an objective assessment of tremor and bradykinesia in Parkinson's disease
Journal of neuroscience methods
Akimun Jannat Alvina, Vijay Harid, Mark Golkowski, Chao Liu, Poorya Hosseini, Yan Pang
Source Characterization and Localization of Lightning Generated Whistlers Observed at Palmer Station
AGU Meeting 2022
Feng Jiang, Yan Pang, ThienNgo N Lee, Chao Liu
Automatic object segmentation based on grabcut
Science and Information Conference
Invited Talks
  • [May 25th, 2024] Haikou, China:
    ā€œOptimizing Medical Image Analysis: Boosting Model Performance with Integrated Software and Hardware Solutions.ā€ International Conference on Digital Image Processing 2024;
  • [Apr 14, 2024] Hangzhou, China:
    ā€œImproving Medical Image Analysis by Balancing Accuracy and Efficiency on Resource-Constrained Platformsā€, The 3rd National Conference on Electronic Information Materials and Devices;
  • [Feb. 5th, 2024] Shenzhen, China:
    ā€œEnhancing Medical Image Analysis by Achieving an Optimal Balance Between Accuracy and Efficiency in Resource-Limited Platformsā€, 16th International Conference on Machine Learning and Computing;
  • [Dec. 22nd, 2023] Shanghai, China:
    ā€œAdaptive Hierarchical Semantic Approach for Change Detectionā€, The 9th International Conference on Signal Processing;
  • [Dec. 12th, 2023] Macao, China:
    ā€œOptimizing Machine Learning Algorithms for Coordinated Software and Hardware Performanceā€ University of Macao;
  • [Dec. 1st, 2023] Luoyang, China:
    ā€œApplication of Large-scale Model of Multimodal Medical Image Analysisā€ The First Affiliated Hospital of Henan University of Science & Technology;
  • [Jun. 7th, 2023] Zhuhai, China:
    ā€œAdaptive Graph Representation Learningā€, Sun Yat-Sen University;
Teaching Experiences
  • 2022.09 - Present. Guangzhou University:
    Computer Vision Processing(181940016-1), Natural Language Processing(180600065-1)ļ¼ŒAssembly Language Processing(210600058-1).
  • 2018.08 - 2021.05, Metropolitan State University of Denver, EET/CPE 2350 Advanced Technical Programming, EET/CPE 3330 Digital Circuits/Systems IIļ¼ŒEET/CPE 4020 Digital Circuits/Systems III, CPE 4600 VLSI Circuits and Systems.
  • 2017.08 - 2021.05, University of Colorado Denver, ELEC 4561 Hardware and Software Interface, ELEC 2531 Logic Lab.
Master Students
Ā© 2024 Yan Pang. All rights reserved
(Last update: Oct 20, 2024.)