I obtained my Ph.D. degree from the University of Technology Sydney (UTS). Prior to this, I obtained my M.Eng. from Beijing Jiaotong University in 2018 and B.Eng. from Nanjing Agricultural University in 2016.
From 2018 to 2019, I worked at BOE as an algorithm engineer in Beijing. From 2021 to 2022, I interned at Samsung Research in Beijing, focusing on image semantic segmentation and neural architecture search.
I am currently Embodied AI Perception Team Lead at Linkerbot, working on algorithm development for embodied intelligence and robotics applications. My research interests include computer vision, multimodal learning, Vision-Language Models (VLMs), zero-shot anomaly detection, prompt learning, and embodied AI. I am open to research and industry collaborations in embodied intelligence, robot perception, and multimodal learning.
📝 Selected Publications
Low-Rank Modality Experts and Spatial-Aware Adapter for Medical Anomaly Detection with Vision-Language Models
Jian Li, Huadong Tang (Co-first author), Fuxin Liang, Sai-Ho Ling Under Review (2026)
HyperPR: Hyperbolic Prompt Refinement for Zero-Shot Anomaly Detection
Huadong Tang Under Review (2026)
PALM-AD: Prototype Aggregation and Learnable Medical Prompts for Anomaly Detection
Jian Li, Huadong Tang (Co-first author), Fuxin Liang, Sai-Ho Ling
The IEEE International Conference on Multimedia & Expo 2026 ICME (2026 Oral)
LMSeg: Unleashing the Power of Large-Scale Models for Open-Vocabulary Semantic Segmentation
Huadong Tang, YouPeng Zhao, Min Xu, Jun Wang, Qiang Wu
preprint (2025)
Classifier Enhancement Using Extended Context and Domain Experts for Semantic Segmentation
Huadong Tang, YouPeng Zhao, Min Xu, Jun Wang, Qiang Wu
IEEE Transactions on Multimedia (2025)
Merino: Entropy-driven Design for Generative Language Models on IoT Devices
YouPeng Zhao, Ming Lin, Huadong Tang, Qiang Wu, Jun Wang
Proceedings of the 39th AAAl Conference on Artificial Intelligence (AAAI-25) (2025)
CAA: Class-Aware Affinity calculation add-on for semantic segmentation
Huadong Tang, YouPeng Zhao, Chaofan Du, Min Xu, Qiang Wu
Knowledge-Based Systems 299, 112097 (2024)
Parameter-Efficient Vision Transformer with Linear Attention
YouPeng Zhao, Huadong Tang, Yingying Jiang, A Yong, Qiang Wu, Jun Wang
2023 IEEE International Conference on Image Processing (ICIP), 1275-1279 (2023)
CLASS-AWARE CONTEXTUAL INFORMATION FOR SEMANTIC SEGMENTATION
Huadong Tang, YouPeng Zhao, Yingying Jiang, Zhuoxin Gan, Qiang Wu
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2023)
🎖 Honors and Awards
- 2022.11 Best Intern Award.
- 2021.09 Best Intern Award.
📖 Educations
- 2021.08 - 2025.08, PhD, University of Sydney Technology, Sydney.
- 2016.09 - 2018.06, Master, Beijing Jiaotong University, Beijing.
- 2012.09 - 2016.06, Bachelor, Nanjing Agricultural University, Nanjing.
💻 Internships
- 2021.03 - 2022.12, Samsung Research, Beijing.
💻 Professional Service
- Conference Reviewer: ACCV, WACV, NeurIPS, CVPR, AAAI, MICCAI, ICME
- Journal Reviewer: TMM, KBS, TCSVT, TIP
📌 Visitor Map
