VLDB 2026 Research / reviewers in the wild / expert
Haikuo Zhang
dblp:118/4867
· DBLP profile ↗
6ranked-venue papers
2as first author
4since 2021 · last 2026
—ORCID · conflict
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 4 · 1 first-author · 3 since 2021Databases, data management, data science and information retrieval · 3 · 3 since 2021Security and privacy · 1 · 1 first-author · 1 since 2021Software engineering, systems software and programming languages · 1Applied, interdisciplinary, general and emerging computing · 1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | RDMA-Aware gRPC for Scalable Distributed Reinforcement Learning on HPC Clusters
Zhikuang Xin, Zhenghong Wu, Benxi Tian, Jue Wang 0013, Haikuo Zhang, Rongqiang Cao, Yangang Wang 0002 |
KSEM (2) | 6 |
| 2026 | SEEDTrans: Interpretable Day-Ahead Photovoltaic Power Forecasting with Multi-level Series Decomposition Transformer
Zhikuang Xin, Meng Wan, Benxi Tian, Jue Wang 0013, Peng Shi 0006, Haikuo Zhang, Rongqiang Cao, Xue Miao, Zhenbing Zhao, Yangang Wang 0002 |
KSEM (2) | 7 |
| 2022 | Construction Research and Applications of Industry Chain Knowledge Graphs
Boyao Zhang, Zijian Wang 0008, Haikuo Zhang, Yonghua Zhao, Jingqi Sun |
KSEM (1) | 3 |
| 2021 | Study on the latent state of Kaminsky-style DNS cache poisoning: Modeling and empirical analysis
Haikuo Zhang, Jueyu Ye, Weihong Hu, Xiali Yan, Qiaoli Yue, Wanbo Lv, Jue Wang 0013 |
Comput. Secur. | 1 |
| 2014 | A Personalized Gesture Interaction System with User Identification Using Kinect
Haikuo Zhang, Wenjun Wu 0001, Yihua Lou |
PRICAI | 1 |
| 2013 | Magic View: An Optimized Ultra-Large Scientific Image Viewer for SAGE Tiled-Display EnvironmentabstractMassive amount scientific data often need to be visualized in ultra-large images for scientific discovery. Although ultra-high resolution tiled-display environments have been widely used, there still lacks of proper image viewers that can display ultra-large images with billions of pixels in tiled-display environments. To address the problem, we propose Magic View, an optimized ultra-large scientific image viewer for SAGE tiled-display environment. It can achieve real-time interactive performance in viewing images with billions of pixels. Our experiments show that the performance of Magic View are at lease 8x better than Juxta View, another ultra-large image viewer for SAGE. Yihua Lou, Haikuo Zhang, Wenjun Wu 0001 |
e-Science | 2 |