Scholar
Siqiang Luo
Google Scholar ID: ZDwbMg4AAAAJ
Assistant Professor of Nanyang Technological University
database
graph data management
key-value stores
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Citations & Impact
All-time
Citations
2,175
H-index
22
i10-index
45
Publications
20
Co-authors
12
list available
Contact
Email
siqiang.luo@ntu.edu.sg
Publications
24 items
Modality-free Graph In-context Alignment
2026
Cited
0
VectorMaton: Efficient Vector Search with Pattern Constraints via an Enhanced Suffix Automaton
2026
Cited
0
Coden: Efficient Temporal Graph Neural Networks for Continuous Prediction
2026
Cited
0
RadixGraph: A Fast, Space-Optimized Data Structure for Dynamic Graph Storage (Extended Version)
arXiv.org · 2026
Cited
0
On 10x Better Scalability: KV Stores Scale Up KV Cache
2025
Cited
0
Don't Forget Range Delete! Enhancing LSM-based Key-Value Stores with More Compatible Lookups and Deletes
2025
Cited
0
Right Answer at the Right Time - Temporal Retrieval-Augmented Generation via Graph Summarization
2025
Cited
0
MoSE: Unveiling Structural Patterns in Graphs via Mixture of Subgraph Experts
2025
Cited
0
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Resume (English only)
Academic Achievements
Proceedings Co-Chair of PVLDB 2026
Awarded MOE Tier-2 grant
Recipient of NRF Frontier Competitive Research Program grant
Area Chair for NeurIPS 2025 and SIGKDD 2025
Awarded AISG grant
Sponsorship Co-Chair of ICDE 2025
Associate Editor for journal Data & Knowledge Engineering (DKE)
Principal Investigator of multiple grants, including:
1. NRF Frontier-CRP: From LLMs to LGMs (2025–2029)
2. AISG: Graph-based Detection of Harmful AI-Generated Videos (2025–2028)
3. MOE Tier-2: Scalable and Robust Storage Systems (2025–2028)
4. MOE Tier-2: Scaling up Graph Neural Networks (2022–2025)
5. NAP Award: Autonomous Key-Value Stores (2022–2026)
6. Multiple MOE Tier-1 and NTU SUG projects
Four papers and one tutorial accepted at SIGMOD 2025
Four papers presented at PVLDB 2025 (three on graph algorithms, one on data systems)
Supervised students publishing at top venues including SIGKDD, IJCAI, ACL, ICDE, and SIGMOD
Student awarded PREMIA Best Student Paper Award for Genti paper on graph learning
Background
Nanyang Assistant Professor at the College of Computing and Data Science, Nanyang Technological University
Affiliated member of DANTE
Broad research interests in efficient and effective big data analytics, queries, and mining, particularly focusing on:
1. Scalable graph analytics and mining
2. Scalable data structures and systems
Co-authors
12 total
Reynold Cheng
ACM Distinguished Member, HKU Computer Science Professor
Ningyi Liao
Nanyang Technological University
Xiang Li
East China Normal University
Xiaokui Xiao
National University of Singapore
Ben Kao
The University of Hong Kong
Caihua Shan
Microsoft Research Asia
Shuigeng Zhou
Fudan University
Gao Cong
Nanyang Technological University
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