2026

1. Prune First, Decide Fast: Scalable Semantic Query Processing with JEVDB

   Zhengle Wang, Hanxu Yan, Fuheng Zhao, and Chunwei Liu

   arXiv, 2026

   arXiv · website
2. Fail Loudly: An Auditable Runtime for Agentic Data Analysis

   Hanxu Yan, Langxuan Deng, Zhengle Wang, Yibo Wang, and Chunwei Liu

   arXiv, 2026

   paper · arXiv
3. ResQ: Realistic Performance-Aware Query Generation

   Zhengle Wang, Yanfei Zhang, and Chunwei Liu

   arXiv, 2026

   arXiv

2025

1. DLCPD-25: A Large-Scale and Diverse Dataset for Crop Disease and Pest Recognition

   Hengwei Zhang, Ruifeng Wang, Zhengle Wang, and Wenhui Su

   Sensors, 2025
2. Resource-Efficient Cotton Network: A Lightweight Deep Learning Framework for Cotton Disease and Pest Classification

   Zhengle Wang, Hengwei Zhang, Yingqiang Dai, Kangning Cui, Haihua Wang, Peng W. Chee, and Ruifeng Wang

   Plants, 2025
3. PBench: Workload Synthesizer with Real Statistics for Cloud Analytics Benchmarking

   Yan Zhou, Chunwei Liu, Bhuvan Urgaonkar, Zhengle Wang, Magnus Mueller, Chao Zhang, Songyue Zhang, Pascal Pfeil, Dominik Horn, Zhengchun Liu, Davide Pagano, Tim Kraska, Samuel Madden, and Ju Fan

   VLDB, 2025

   arXiv

2024

1. Self-supervised Transformer-based Pre-training Method with General Plant Infection Dataset

   Zhengle Wang, Ruifeng Wang, Minjuan Wang, Tianyun Lai, and Man Zhang

   PRCV, 2024

   arXiv

2023

1. Flooding-based MobileNet to Identify Cucumber Diseases from Leaf Images in Natural Scenes

   Yiming Liu, Zhengle Wang, Rujia Wang, Jiasi Chen, and Hongju Gao

   CEA, 2023