Zhihao Duan
Scholar

Zhihao Duan

Google Scholar ID: 9ctnr1kAAAAJ
PhD candidate, Purdue University
machine learningcomputer visiondata compression
Citations & Impact
All-time
Citations
373
 
H-index
9
 
i10-index
8
 
Publications
15
 
Co-authors
10
list available
Resume (English only)
Academic Achievements
  • Paper 'Balanced Rate-Distortion Optimization in Learned Image Compression' accepted to CVPR 2025
  • Paper 'CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning' accepted to CVPR 2025
  • Paper 'Towards Backward-Compatible Continual Learning of Image Compression' accepted to CVPR 2024
  • Paper 'QARV: Quantization-Aware ResNet VAE for Lossy Image Compression' published in IEEE TPAMI (June 2024)
  • Paper 'Lossy Image Compression with Quantized Hierarchical VAEs' awarded Best Paper Award (Algorithms) at WACV 2023
  • Paper 'Efficient Feature Compression for Edge-Cloud Systems' selected as Best Paper Award Finalist (top 5%) at Picture Coding Symposium 2022
Background
  • PhD candidate in Electrical and Computer Engineering (ECE) at Purdue University
  • Member of the Video and Image Processing Lab
  • Research lies at the intersection of data compression, computer vision, and machine learning
  • Aims to improve visual data compression using deep learning (compression using AI)
  • Designs compressors tailored to downstream vision tasks (compression for AI)
  • Also worked on neural network model compression (compression of AI)