Hi, I’m Jinhong Wang, a fourth-year Ph.D student studying Computer Science and Technology at Zhejiang University, supervised by Prof. Jian Wu (吴健). I am committed to the unified modeling of multimodal visual scoring (rating) in different fields and with different data. Including but not limited to image quality assessment, aesthetic assessment, disease classification, facial age estimation, composition scoring, satisfaction assessment, monocular depth estimation, etc., the construction of general models for achieving such tasks. Specifically, my research focuses include:

• Multimodal Large Language Models (MLLMs)
• Multimodel Data Alignment and Fusion
• Ordinal Regression and Spatial Intelligence

I am also interested Medical Image Analysis, Computer Vision, and Generative Models. I have published nearly 20 papers at the top international AI conferences.

📖 Educations

• 2021.09 - Present, Ph.D Student: Computer Science and Technology, Zhejiang University, Hangzhou, China

• 2017.09 - 2021.06, Undergraduate Student: Network Enginering, Zhejiang University of Technology, Hangzhou, China

💻 Internships

• 2024.03 - Present, Research Intern: Multi-model Large Language Models on AIGC, Ant Group, Hangzhou, China

• 2021.06 - 2021.10, Research Intern: AI for interpersonal relationship and job recommendation, Baidu Talent Intelligence Center (TIC) of Baidu Inc., Beijing, China

📝 Publications

🔢 MLLMs, Visual Rating/Ordinal Regression

ICCV 2023

Ord2Seq: Regarding Ordinal Regression as Label Sequence Prediction

Jinhong Wang, Yi Cheng, Jintai Chen, TingTing Chen, Danny Chen, Jian Wu

🧑🏻‍💻 Code   🌐 Project Page

Under Review

OrderChain: A General Prompting Paradigm to Improve Ordinal Understanding Ability of MLLM

Jinhong Wang, Shuo Tong, Jian Liu, Dongqi Tang, Weiqiang Wang, Wentong Li, Hongxia Xu, Danny Chen, Jintai Chen, Jian Wu

Under Review

STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset

Jinhong Wang, Shuo Tong, Jian Liu, Dongqi Tang, Haochao Ying, Hongxia Xu, Danny Chen, Jintai Chen, Jian Wu

🧑🏻‍💻 Code   🌐 Project Page

• IJCAI 2025 (Oral) Dual-level Fuzzy Learning with Patch Guidance for Image Ordinal Regression, Chunlai Dong, Haochao Ying, Qibo Qiu, Jinhong Wang, et al.

• IJCAI 2023 (Oral) Robust image ordinal regression with controllable image generation, Yi Cheng, Haochao Ying, Renjun Hu, Jinhong Wang, et al.

👀 Computer Vision, Spatial Intelligence

CVPR 2025

Scalable Autoregressive Monocular Depth Estimation

Jinhong Wang, Jian Liu, Dongqi Tang, Weiqiang Wang, Wentong Li, Danny Chen, Jintai Chen, Jian Wu

🧑🏻‍💻 Code   🌐 Project Page

• WACV 2025 Position: Prospective of Autonomous Driving-Multimodal LLMs World Models Embodied Intelligence AI Alignment and Mamba, Yunsheng Ma, Wenqian Ye, Can Cui, Haiming Zhang, Shuo Xing, Fucai Ke, Jinhong Wang, et al.

🏥 Medical AI, Multi-modal Learning

MICCAI 2024

LKM-UNet: Large Kernel Vision Mamba UNet for Medical Image Segmentation

Jinhong Wang, Jintai Chen, Danny Chen, Jian Wu

🧑🏻‍💻 Code   🌐 Project Page

TMI 2023 (IF:10.6)

A Transformer-Based Knowledge Distillation Network for Cortical Cataract Grading

Jinhong Wang, Zhe Xu, Wenhao Zheng, Haochao Ying, Tingting Chen, Zuozhu Liu, Danny Z Chen, Ke Yao, Jian Wu

🧑🏻‍💻 Code

• BIBM 2024 (Oral) Multi-rater Prompting for Ambiguous Medical Image Segmentation, Jinhong Wang, Yi Cheng, Jintai Chen, et al.

• BIBM 2022 CTT-Net: a multi-view cross-token transformer for cataract postoperative visual acuity prediction, Jinhong Wang, Jingwen Wang, Tingting Chen, et al.

• Neural Computing and Applications 2023 (IF:4.5) D-former: A u-shaped dilated transformer for 3d medical image segmentation, Yixuan Wu, Kuanlun Liao, Jintai Chen, Jinhong Wang, et al.

• JBHI 2023 (IF:7.1) Polygonal Approximation Learning for Convex Object Segmentation in Biomedical Images with Bounding Box Supervision, Wenhao Zheng, Jintai Chen, Kai Zhang, Jiahuan Yan, Jinhong Wang, et al.

• Fronties in Medicne 2023 (IF:3.1) Prediction of postoperative visual acuity in patients with age-related cataracts using macular optical coherence tomography-based deep learning method, Jingwen Wang, Jinhong Wang, Dan Chen, et al.

• MICCAI 2022 Automating blastocyst formation and quality prediction in time-lapse imaging with adaptive key frame selection, Tingting Chen, Yi Cheng, Jinhong Wang, et al.

🎖 Honors and Awards

🆚 ACM Competition

• 🥈 Silver Medal 银奖 - 2019 ICPC Asia-East Continent Final (国际大学生程序设计竞赛亚洲区域总决赛)

• 🥈 Silver Medal 银奖 - 2019 ICPC Asia Region Contest, Xuzhou(国际大学生程序设计竞赛亚洲区域赛徐州站)

• 🥈 Silver Medal 银奖 - 2019 ICPC Asia Region Contest, Nanchang(国际大学生程序设计竞赛亚洲区域赛南昌站)

• 🥈 Silver Medal 银奖 - 2019 China Collegiate Programming Contest, Harbin(中国大学生程序设计竞赛哈尔滨站)

• 🥈 Silver Medal 银奖 - 2019 China Collegiate Programming Contest, National Invitational Contest, Hunan (中国大学生程序设计竞赛全国邀请赛湖南)

• 🏅 Gold Medal 金奖 - 2019 中国计算机团体程序设计全国总决赛

🤖 AI/Software Competition

• 🥉 季军 - 2020 Spark-天池数字人体AI脊柱疾病智能诊断大赛 (4/3108)

• TOP 64 (64强) - 2020华为软件精英挑战赛, 杭厦赛区

🏫 School Scholarship

• 2024.12 Huawei Elite Scholarship (1%)
• 2024.12 School First-class Scholarship (5%)
• 2023.12 School First-class Scholarship (5%)
• 2022.12 School Second-class Scholarship (10%)
• 2019.12 Province Scholarship (2%)
• 2019.12 School First-class Scholarship (5%)