Zhengle Wang

About Me

I’m currently a undergraduate student at China Agricultural University. I’m also very fortunate to closely work with Professor Ju Fan as a research intern. Previously I worked as an intern in the search and recommendation algorithm team at Poizon.inc. My current research interests include AI4DB, Data Mining.

Research Interests

• Recommender Systems (Recsys): My research in recommender systems primarily revolves around coarse ranking and fine ranking methodologies. I am particularly interested in developing effective coarse ranking algorithms that can quickly filter large item sets to identify promising candidates.
• AI for Databases (AI4DB): I’m interested in exploring the intersection of artificial intelligence and database management systems. Currently, I am closely collaborating with AWS and MIT CSAIL on the workload synthesis project.
• Natural Language Processing (NLP) - Model Quantization: My research interests include model quantization techniques that enable the deployment of large-scale NLP models on resource-constrained devices. I am exploring methods to reduce the model size and computational requirements while maintaining performance. This includes investigating techniques such as weight pruning, quantization-aware training, and knowledge distillation to create efficient models that can be applied in real-time applications.

Recent Publications

(* indicates equal contribution, # indicates corresponding author)

Preprint and In Submission

Experience

• 2023.01 - 2023.07, AI Box, Research Intern, Gaoling School of Artificial Intelligence, Renmin University of China
• 2023.09 - Now, DEKE, Research Intern, School of Information, Renmin University of China
• 2024.06 - 2025.03, Poizon.inc, Comunity Search Team Intern, Beijing, China

Awards