Kaiyue Zhou

Kaiyue Zhou

3D Computer Vision, Computatinal Geometry, Generative Models, AI for Science

About Me

I received the Ph.D. degree in Computer Science from Wayne State University, Detroit, Michigan, USA, in 2021. I was a postdoc researcher at the Department of Electronic Engineering, Tsinghua University, Beijing, China, from 2022 to 2024. I am currently working as CTO at a startup company WesPark.

Email: kyzhou AT wayne DOT edu

Education and Research Experience

  • PostDoc in Information and Communication Engineering, Tsinghua University, 2022-2024
  • PhD Student in Computer Science, Wayne State University, 2016-2021

Publications

3D Computer Vision / Computational Geometry / Generative Models:

  1. Kaiyue Zhou, Ming Dong*, Suzan Arslanturk. “Zero-Shot” Point Cloud Upsampling. ICME 2022.
  2. Peiyuan Zhi, Kaiyue Zhou, Ya-Li Li, Shengjin Wang*. Feature Decoupling and Uncertainty Estimation for 3D Object Detection. ICME 2023.
  3. Kaiyue Zhou, Ming Dong, Peiyuan Zhi, Shengjin Wang*. Cascaded Network with Hierarchical Self-Distillation for Sparse Point Cloud Classification. ICME 2024.
  4. Kaiyue Zhou, Zelong Tan, Shu Yang, Shengjin Wang*. Enhancing the Encoding Process in Point Cloud Completion. ICCPR 2024.
  5. Kaiyue Zhou, Ming Dong, Peiyuan Zhi, Shengjin Wang*. Joint Learning for Scattered Point Cloud Understanding with Hierarchical Self-Distillation. IEEE Sensors Journal [J] 2025.
  6. Kaiyue Zhou, Zhenyu Wang, Ya-Li Li, Shengjin Wang*. Hybrid Sampling with Mixed Shape and Seed Representations for Point Cloud Recovery. ACAI 2025.
  7. Kaiyue Zhou, Zelong Tan, Hongxiao Wang, Ya-Li Li, Shengjin Wang*. Preserving Topological and Geometric Embeddings for Point Cloud Recovery. AAAI 2026.
  8. Zhaolu Kang, Junhao Gong, Qingxi Chen, Hao Zhang, Jiaxin Liu, Rong Fu, Zhiyuan Feng, Yuan Wang, Simon Fong, Kaiyue Zhou*. Multimodal Multi-Agent Empowered Legal Judgment Prediction. ICASSP 2026.

AI for Science:

  1. Kaiyue Zhou, Suzan Arslanturk*, Douglas B Craig, Elisabeth Heath, Sorin Draghici. Discovery of Primary Prostate Cancer Biomarkers using Cross Cancer Learning. Scientific Reports [J] 2021.
  2. Kaiyue Zhou, Bhagya Shree Kottoori, Seeya Awadhut Munj, Zhewei Zhang, Sorin Draghici, Suzan Arslanturk*. Integration of Multimodal Data from Disparate Sources for Identifying Disease Subtypes. Biology [J] 2022.
  3. Jiahe Zhu, Kaiyue Zhou, Huan Zhang, Shengjin Wang, Hongbing Ma*. Cross Teaching Between Single-spectral and Multi-spectral Detection Transformers for Remote Sensing Object Detection. IGARSS 2024.
  4. Zelong Tan, Kaiyue Zhou, Jiahe Zhu, Shengjin Wang*, Hongbing Ma. Semantic Enhancement via Vessel Decomposition: Two-Stage Coronary Artery Segmentation. ICIC 2025.
  5. Kaiyue Zhou†, Bhagya Shree Kottoori†, Seeya Awadhut Munj, Guangyu Dong, Suzan Arslanturk*, Shengjin Wang*. Unveiling Histopathological Features for Breast Cancers using Limited Data. ICIVC 2025.

Services

Reviewer:

  • ICME 2023
  • ICME 2024
  • AAAI 2026
  • ICASSP 2026

Session Chair or Co-Chair:

  • ICME 2022
  • AAAI 2026

Program Committee:

  • CCCG 2026

Talks

Predicting Prostate Cancer Biomarkers using Deep Learning. Chinese-German Society for Translational Medicine (CDGTM)，Jul 07, 2021.

Awards

Highest Distinction (top 5%), Wayne State University, 2020.