Shengkun Tang

Welcome to my website~ My name is Shengkun Tang. You can call me Bryson for short. Currently, I am a research intern in Alibaba Qwen Team. Besides, I am a PhD student of Machine Learning in MBZUAI, under the supervision of Prof. Zhiqiang Shen. During my gap year, I had a wonderful time as an research assistant in DASLab in ISTA , working with Prof. Dan Alistarh. Besides, I had close collaboration with Prof. Dongkuan Xu (NCSU) and Dr. Yaqing Wang (Google DeepMind), working on efficent multi-modal models. I finished B.E. in Remote Sensing at Wuhan University , under the supervision of Prof. Jian Yao and Prof. Xin Su.

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Last updated: May 12th 2026

My research focuses on building efficient, reliable, and deployable AI systems. I am interested in improving the full pipeline of modern foundation models, from architecture design and training to inference, data, and evaluation.

Specifically, my research spans four directions:

• Inference Efficiency. I develop methods that reduce the computational and memory cost of large models during deployment, including structured pruning , quantization, adaptive computation, and token pruning.

• Training Efficiency. I study resource-efficient training methods that improve model capability under limited computational budgets, including efficient optimization, data-efficient learning, and scalable training strategies.

• Novel Model Architectures. I design compact and scalable model architectures for efficient intelligence, including work such as SlimQwen and other architecture-level innovations.

• Data-Centric AI and Trustworthy Evaluation. I also study data quality, efficient data usage, benchmarks, and trustworthy evaluation.

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