I am currently a PhD student at the University of Technology Sydney (UTS), supervised by Prof.Qiang Wu. I obtained M.Eng. degree from Beijing Jiaotong University in 2018, supervised by Prof.Shuang Bai 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.

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

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 (now), 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.

📌 Visitor Map