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Sizhuo Li

dblp:249/1001 · DBLP profile ↗
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4ranked-venue papers
2as first author
3since 2021 · last 2024
0000-0001-9583-7230ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 3 · 1 first-author · 2 since 2021Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Databases, data mining, and information retrieval
1 paper
Graph data management · 50% Data models and query languages · 50%
Artificial intelligence
1 paper
Transfer learning and domain adaptation · 100%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Environmental and earth informatics · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Transfer learning and domain adaptation › domain adaptation
domain adaptation regression
0.812024
Get Your Embedding Space in Order: Domain-Adaptive Regression for Forest Monitoring · ECCV (77) 2024
Environmental and earth informatics › ecological monitoring
forest monitoring
0.812024
Get Your Embedding Space in Order: Domain-Adaptive Regression for Forest Monitoring · ECCV (77) 2024
Data models and query languages › query language
query language interoperability
0.512021
UniKG: A Unified Interoperable Knowledge Graph Database System · ICDE 2021

Methods — techniques the papers use, named apart from their topics

embedding space ordering · 1.5relational storage · 0.5cypher · 0.5SPARQL · 0.5
YearPublicationVenuePosition
2024 Get Your Embedding Space in Order: Domain-Adaptive Regression for Forest Monitoring
Sizhuo Li, Dimitri Gominski, Martin Brandt, Xiaoye Tong, Philippe Ciais
ECCV (77)1
2021 UniKG: A Unified Interoperable Knowledge Graph Database System
abstract
Knowledge graph currently has two main data models: RDF graph and property graph. The query language on RDF graph is SPARQL, while the query language on property graph is mainly Cypher. Different data models and query languages hinder the wider application of knowledge graphs. In this demonstration, we propose a unified interoperable knowledge graph database system, UniKG. (1) Based on the relational model, a unified storage scheme is utilized to efficiently store RDF graphs and property graphs, and support the query requirements of knowledge graphs. (2) Using the characteristicset-based method, the storage problem of untyped entities is addressed in UniKG. (3) UniKG realizes the interoperability of SPARQL and Cypher, and enables them to interchangeably operate on the same knowledge graph. (4) With a unified Web interface, users are allowed to query with two different languages over the same knowledge graph and visualize query results and explanations.
Baozhu Liu, Xin Wang 0030, Pengkai Liu, Sizhuo Li, Yunpeng Chai
ICDE4
2021 OntoSP: Ontology-Based Semantic-Aware Partitioning on RDF Graphs
Sizhuo Li, Weixue Chen, Baozhu Liu, Pengkai Liu, Xin Wang 0030, Yuan-Fang Li
WISE (1)1
2019 A Unified Relational Storage Scheme for RDF and Property Graphs
Pengkai Liu, Xiefan Guo, Sizhuo Li, Xin Wang 0030
WISA4