I am currently a PhD student at the University of Technology Sydney (UTS). I obtained M.Eng. degree from Beijing Jiaotong University in 2018 and B.Eng. degree 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.

My research interest includes multi-modal learning and computer vision. I am currently seeking postdoctoral positions to advance my research career. If any opportunities arise, please feel free to email me at huadong.tang@student.uts.edu.au.

📝 Publications

🎓 During PhD Period

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)

🎓 During Master Period

LSTM and multiple CNNs based event image classification

Peian Li, Huadong Tang, Jing Yu, Wei Song

Multimedia Tools and Applications 80 (20), 30743-30760 (2021)

Coordinate CNNs and LSTMs to categorize scene images with multi-views and multi-levels of abstraction

Shuang Bai, Huadong Tang, Shan An

Expert Systems with Applications 120, 298-309 (2019)

Softly combining an ensemble of classifiers learned from a single convolutional neural network for scene categorization

Shuang Bai, Huadong Tang

Applied Soft Computing 67, 183-196 (2018)

Categorizing scenes by exploring scene part information without constructing explicit models

Shuang Bai, Huadong Tang

Neurocomputing 281, 160-168 (2018)

🎖 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, WACV
• Journal Reviewer: TMM, KBS, TCSVT

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