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, and as the executive director of Sichuan Intelligent Digital Human Engineering Technology Research Center, Chengdu Minto Tech.

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:

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.

MLLMs:

1. 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.
2. Bo-Cheng Hu, Zhonghan Zhao, Kaiyue Zhou*, Hongwei Wang, Gaoang Wang*. DynaHOI: Benchmarking Hand-Object Interaction for Dynamic Target. ACM MM 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:

• 2023: ICME
• 2024: ICME
• 2026: AAAI, ICASSP, ACM MM, NeurIPS

Session Chair or Co-Chair:

• 2022: ICME
• 2026: AAAI

Program Committee:

• 2026: CCCG

Talks

Chinese-German Society for Translational Medicine (CDGTM): Predicting Prostate Cancer Biomarkers using Deep Learning. Jul 07, 2021. ASEAN AI Hackathon 2026 Workshop: Boundless Intelligent Innovation: AI Wave and New Opportunities for International Collaboration Among Southeast Asian Youth. May 27, 2026.

Awards

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