Chuanhui Yang

Orcid: 0009-0009-3530-6476

According to our database1, Chuanhui Yang authored at least 53 papers between 2022 and 2026.

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Bibliography

2026
PDET-LSH: Scalable In-Memory Indexing for High-Dimensional Approximate Nearest Neighbor Search With Quality Guarantees.
IEEE Trans. Knowl. Data Eng., June, 2026

Defense against Poisoning Attacks under Shuffle-DP.
CoRR, May, 2026

CSAttention: Centroid-Scoring Attention for Accelerating LLM Inference.
CoRR, April, 2026

Secure Multi-Party Sampling over Joins.
Proc. VLDB Endow., March, 2026

TaCo: Data-adaptive and Query-aware Subspace Collision for High-dimensional Approximate Nearest Neighbor Search.
CoRR, March, 2026

MCI-SQL: Text-to-SQL with Metadata-Complete Context and Intermediate Correction.
CoRR, March, 2026

The Virtuous Cycle: AI-Powered Vector Search and Vector Search-Augmented AI.
CoRR, March, 2026

A Tree-Structured Two-Phase Commit Framework for OceanBase: Optimizing Scalability and Consistency.
CoRR, March, 2026

OceanBase Bacchus: a High-Performance and Scalable Cloud-Native Shared Storage Architecture for Multi-Cloud.
CoRR, February, 2026

LakeHopper: Cross Data Lakes Column Type Annotation through Model Adaptation.
CoRR, February, 2026

Building an OceanBase-based Distributed Nearly Real-time Analytical Processing Database System.
CoRR, February, 2026

Adaptive virtual anchors for efficient and stable clustering over large multi-view attributed graphs.
Inf. Fusion, 2026

PowerRAG: Building Smarter and More Accurate RAG Systems with OceanBase's Multi-modal Retrieval.
Proceedings of the Companion of the International Conference on Management of Data, 2026

2025
A Comprehensive Study of Bugs in Relational DBMS.
IEEE Trans. Software Eng., December, 2025

Vodka: Rethink Benchmarking Philosophy in HTAP Systems.
Proc. VLDB Endow., November, 2025

A High-Throughput GPU Framework for Adaptive Lossless Compression of Floating-Point Data.
CoRR, November, 2025

An Efficient Two-Round Distributed Transaction Processing Approach over Heterogeneous Networks.
VLDB J., July, 2025

An efficient and scalable graph database with built-in temporal support.
VLDB J., July, 2025

Rethinking LSM-tree based Key-Value Stores: A Survey.
CoRR, July, 2025

CUE-RAG: Towards Accurate and Cost-Efficient Graph-Based RAG via Multi-Partite Graph and Query-Driven Iterative Retrieval.
CoRR, July, 2025

Mitigating the Impedance Mismatch between Prediction Query Execution and Database Engine.
Proc. ACM Manag. Data, June, 2025

Efficient and Accurate Differentially Private Cardinality Continual Releases.
Proc. ACM Manag. Data, June, 2025

RM<sup>2</sup>: Answer Counting Queries Efficiently under Shuffle Differential Privacy.
Proc. ACM Manag. Data, June, 2025

TPRepair: Tree-based Pipelined Repair in Clustered Storage Systems.
ACM Trans. Archit. Code Optim., March, 2025

APQO: An Adaptive Framework for Parametric Query Optimization.
Proc. ACM Manag. Data, 2025

Distributed Database Diagnosis Method for Compound Anomalies.
Int. J. Softw. Informatics, 2025

Enabling Index-free Adjacency in Oblivious Graph Processing with Delayed Duplications.
IACR Cryptol. ePrint Arch., 2025

A Query-Aware Enormous Database Generator For System Performance Evaluation.
Proceedings of the Companion of the 2025 International Conference on Management of Data, 2025

OLTP Engines on Modern Storage Architectures.
Proceedings of the Companion of the 2025 International Conference on Management of Data, 2025

MaLT: A Framework for Managing Large Transactions in OceanBase.
Proceedings of the Companion of the 2025 International Conference on Management of Data, 2025

MetoHash: A Memory-Efficient and Traffic-Optimized Hashing Index on Hybrid PMem-DRAM Memories.
Proceedings of the International Conference for High Performance Computing, 2025

FedAPM: Federated Learning via ADMM with Partial Model Personalization.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Hounding Data Diversity: Towards Participant Selection in Vertical Federated Learning.
Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

OceanBase Unitization: Building the Next Generation of Online Map Applications.
Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

Efficient Structural Clustering Over Hypergraphs.
Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

How to Answer Secure and Private SQL Queries?
Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

Artemis: A Customizable Workload Generation Toolkit for Benchmarking Cardinality Estimation.
Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

GADACE: Graph Anomaly Detection Combining Attribute Contrast and Structure Reconstruction.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024
Extremely-Compressed SSDs with I/O Behavior Prediction.
ACM Trans. Storage, November, 2024

RankPQO: Learning-to-Rank for Parametric Query Optimization.
Proc. VLDB Endow., November, 2024

Towards Practical Oblivious Map.
Proc. VLDB Endow., November, 2024

Native Distributed Databases: Problems, Challenges and Opportunities.
Proc. VLDB Endow., August, 2024

PALF: Replicated Write-ahead Logging for Distributed Databases.
Proc. VLDB Endow., August, 2024

Hound: Hunting Supervision Signals for Few and Zero Shot Node Classification on Text-attributed Graph.
CoRR, 2024

IMBridge: Impedance Mismatch Mitigation between Database Engine and Prediction Query Execution.
Proceedings of the Companion of the 2024 International Conference on Management of Data, 2024

Functionality-Aware Database Tuning via Multi-Task Learning.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Generative and Contrastive Paradigms Are Complementary for Graph Self-Supervised Learning.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Learning Diffusions under Uncertainty.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
F3KM: Federated, Fair, and Fast k-means.
Proc. ACM Manag. Data, December, 2023

Efficient Distributed Transaction Processing in Heterogeneous Networks.
Proc. VLDB Endow., 2023

OceanBase Paetica: A Hybrid Shared-nothing/Shared-everything Database for Supporting Single Machine and Distributed Cluster.
Proc. VLDB Endow., 2023

Dike: A Benchmark Suite for Distributed Transactional Databases.
Proceedings of the Companion of the 2023 International Conference on Management of Data, 2023

2022
OceanBase: A 707 Million tpmC Distributed Relational Database System.
Proc. VLDB Endow., 2022


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