Education

• Ph.D in Computer Science, Arizona State University, 2022
• B.S. in Statistics, University of Science and Technology of China, 2016

Work experience

• Apr 2024 - Present: Applied Scientist
  • Amazon AGI
• Jan 2023 - Apr 2024: Applied Scientist
  • Prime Video
• Aug 2021 - Dec 2022: Graduate Research Associate
  • Arizona State University
• May 2021 - Aug 2021: Applied Scientist Intern
  • Prime Video
• Aug 2017 - May 2021: Graduate Research Associate
  • Arizona State University

Publications

• Now You See Me: Context-Aware Automatic Audio Description
  Seon-Ho Lee, Jue Wang, David Fan, Zhikang Zhang, Linda Liu, Xiang Hao, Vimal Bhat, Xinyu Li
  Winter Conference on Applications of Computer Vision (WACV) 2025

• GEXIA: Granularity Expansion and Iterative Approximation for Scalable Multi-grained Video-language Learning
  Yicheng Wang, Zhikang Zhang, Jue Wang, David Fan, Zhenlin Xu, Linda Liu, Xiang Hao, Vimal Bhat, Xinyu Li
  Winter Conference on Applications of Computer Vision (WACV) 2025

• Video token merging for long-form video understanding
  Seon Ho Lee, Jue Wang, Zhikang Zhang, David Fan, Xinyu Arthur Li
  Conference on Neural Information Processing Systems (NeurIPS) 2024

• Text-guided video masked autoencoder
  David Fan, Jue Wang, Shuai Liao, Zhikang Zhang, Vimal Bhat, Xinyu Li
  European Conference on Computer Vision (ECCV) 2024

• TransUPR: A Transformer-based Plug-and-Play Uncertain Point Refiner for LiDAR Point Cloud Semantic Segmentation
  Zifan Yu, Meida Chen, Zhikang Zhang, Suya You, Raghuveer Rao, Sanjeev Agarwal, Fengbo Ren
  IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2023

• Enhanced Low-Resolution LiDAR-Camera Calibration via Depth Interpolation and Supervised Contrastive Learning
  Zhikang Zhang, Zifan Yu, Suya You, Raghuveer Rao, Sanjeev Agarwal, Fengbo Ren
  IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2023

• Automatic Error Detection in Integrated Circuits Image Segmentation: A Data-Driven Approach
  Zhikang Zhang, Bruno Machado Trindade, Michael Green, Zifan Yu, Christopher Pawlowicz, Fengbo Ren
  IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2023

• A Simple and Efficient Method for Dubbed Audio Sync Detection Using Compressive Sensing
  Avijit Vajpayee, Zhikang Zhang, Abhinav Jain, Vimal Bhat
  IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops 2023

• A Data-Driven Approach for Automated Integrated Circuit Segmentation of Scan Electron Microscopy Images
  Zifan Yu, Bruno Machado Trindade, Michael Green, Zhikang Zhang, Pullela Sneha, Erfan Bank Tavakoli, Christopher Pawlowicz, Fengbo Ren
  IEEE International Conference on Image Processing (ICIP) 2022

• An Experimental Study on Transferring Data-Driven Image Compressive Sensing to Bioelectric Signals
  Zhikang Zhang, Jonathan Zhao, Fengbo Ren
  IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2022

• OpenICS: Open image compressive sensing toolbox and benchmark
  Jonathan Zhao, Márk Lakatos-Tóth, Matthew Westerham, Zhikang Zhang, Avi Moskoff, Fengbo Ren
  Software Impacts

• Cra: A Generic Compression Ratio Adapter for End-To-End Data-Driven Image Compressive Sensing Reconstruction Frameworks
  Zhikang Zhang, Kai Xu, Fengbo Ren
  IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2020

• LAPRAN: A Scalable Laplacian Pyramid Reconstructive Adversarial Network for Flexible Compressive Sensing Reconstruction
  Kai Xu, Zhikang Zhang, Fengbo Ren
  European Conference on Computer Vision (ECCV) 2018

Patents

• LAPRAN: a scalable Laplacian pyramid reconstructive adversarial network for flexible compressive sensing reconstruction
  Kai Xu, Zhikang Zhang, Fengbo Ren
  

• Audio-video synchronization for non-original audio tracks
  Avijit Vajpayee, Hooman Mahyar, Vimal Bhat, Abhinav Jain, Zhikang Zhang
  

• Selective sensing: a data-driven nonuniform subsampling approach for computation-free on-sensor data dimensionality reduction
  Zhikang Zhang, Fengbo Ren
  

• Generic compression ratio adapter for end-to-end data-driven compressive sensing reconstruction frameworks
  Zhikang Zhang, Fengbo Ren, Kai Xu
  

• Method for detecting potential errors in digitally segmented images, and a system employing the same
  Christopher Pawlowicz, Michael Green, Bruno Machado Trindade, Fengbo Ren, Zhikang Zhang, Zifan Yu