EDBT 2026 Demo / reviewers in the wild / expert
Ruliang Xiao
dblp:88/1889
· DBLP profile ↗
9ranked-venue papers in the field
1as first author
6since 2021 · last 2026
0000-0003-2173-4612ORCID · verified
Domains — venue-derived; a paper can count in several
Information Retrieval & Web Search · 4 (1 first)Knowledge Engineering, Semantic Web & Information Systems · 4Other / Interdisciplinary · 1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | CSCAD: Modeling cross-scale sequence correlations for multivariate time series anomaly detection
Hanfeng Lee, Zhixia Zeng, Zhipeng Qiu, Weifu Zhu, Ruliang Xiao |
Inf. Process. Manag. | 5 |
| 2026 | MSTDF-AD: Modeling spatiotemporal dependency fusion for non-stationary time series anomaly detection
Weikang Shi, Hancheng Xiao, Zhipeng Qiu, Zhixia Zeng, Weifu Zhu, Ruliang Xiao |
Inf. Process. Manag. | 7 |
| 2025 | Semi-supervised anomaly detection via reinforcement learning-enabled method with causal inference
Ruliang Xiao, Zhixia Zeng, Xin Du 0003 |
Inf. Sci. | 2 |
| 2023 | Double locality sensitive hashing Bloom filter for high-dimensional streaming anomaly detection
Zhixia Zeng, Ruliang Xiao, Xinhong Lin, Tianjian Luo, Jiayin Lin |
Inf. Process. Manag. | 2 |
| 2022 | VBLSH: Volume-balancing locality-sensitive hashing algorithm for K-nearest neighbors search
Huixia Lai, Weilin Chen 0003, Xinhong Lin, Ruliang Xiao |
Inf. Sci. | 6 |
| 2021 | Towards an efficient real-time kernel function stream clustering method via shared nearest-neighbor density for the IIoT
Ruohe Huang, Ruliang Xiao, Weifu Zhu, Ping Gong 0004, Imad Rida |
Inf. Sci. | 2 |
| 2020 | GLDH: Toward more efficient global low-density locality-sensitive hashing for high dimensions
Ruliang Xiao, Xin Wei 0007, Huakun Liu, Xin Du 0003 |
Inf. Sci. | 2 |
| 2007 | Constructing Web Service Flows with Reusable AspectsabstractAlthough there can be some value in accessing a single Web service, the greater value is derived from assembling Web services into more powerful composite Web services. Web service flows are composite Web services based on process. The Web service flows specified by current specifications are static that can not dynamically adapt themselves to often changing business environment and have the problem of code scattering and tangling relating to crosscutting concerns that cut across the process boundaries. In this paper, we apply AOP concept to support the dynamic adaptation of Web service flows. We give our approach for describing aspect as extension to BPEL, considering how to reuse the definition of an advice that maybe has different type at different pointcuts. And we present an approach for verifying the correctness of the web service flows weaved with aspects before they are deployed. Yang Xu 0016, Shengqun Tang, Zukai Tang, Youwei Xu, Ruliang Xiao |
ICIW | 5 |
| 2006 | Using Categorial Context-SHOIQ(D+) DL to Migrate Between the Context-Aware Scenes
Ruliang Xiao, Shengqun Tang, Lina Fang, Youwei Xu, Yang Xu 0016 |
WISE | 1 |