VLDB

ORBITFLOW: SLO-Aware Long-Context LLM Serving with Fine-Grained KV Cache Reconfiguration

Xinyue Ma, Heelim Hong, Jongseop Lee, Seoyeong Choy, Woo-Yeon Lee, Taegeon Um, Myeongjae Jeon

Revisiting Filtered ANN Benchmarks: A Hardness-Controlled Benchmark Generator for Realistic Evaluation

Mintaek Lim*, Dogeun Kim, Minwoo Kim, Jaeyoung Do^

TurboLynx: Schemaless Graph Engine Strikes Back for General-Purpose Analytics

Lee, T., Ha, J., Tak, B., Han, W.

Unified Static–Dynamic Pruning for Efficient LLM Inference

Jinhyeok Kim*, Yejoon Lee, Jaeyoung Do^

ZipFlow: a Compiler-based Framework to Unleash Compressed Data Movement for Modern GPUs

Gwangoo Yeo, Zhiyang Shen, Wei Cui, Matteo Interlandi, Rathijit Sen, Bailu Ding, Qi Chen, and Minsoo Rhu

AGIS: Fast Approximate Graph Pattern Mining with Structure-Informed Sampling

Seoyong Lee, Jinho Lee

Estimating Simplet Counts via Sampling

Hyunju Kim, Heechan Moon, Fanchen Bu, Jihoon Ko, Kijung Shin

Themis: A GPU-accelerated Relational Query Execution Engine

Hong, K., Kim, K., Lee, Y., Moon, Y., Bhowmick, S., Han, W.

TUCKET: A Tensor Time Series Data Structure for Efficient and Accurate Factor Analysis over Time Ranges

Ruizhong Qiu, Jun-Gi Jang, Xiao Lin, Lihui Liu, Hanghang Tong

Turbocharging Vector Databases using Modern SSDs

Joobo Shim*, Jaewon Oh, Hongchan Roh, Jaeyoung Do^, Sang-Won Lee

Turbocharging Vector Databases using Modern SSDs

Joobo Shim, Jaewon Oh, Hongchan Roh, Jaeyoung Do, Sang-Won Lee

Cardinality Estimation of Subgraph Matching: A Filtering-Sampling Approach

Shin, W., Song, S., Park, K., Han, W.

Falcon: Fair Active Learning using Multi-armed Bandits

K. Tae, H. Zhang, J. Park, K. Rong, and S. E. Whang

FusionFlow: Accelerating Data Preprocessing for Machine Learning with CPU-GPU Cooperation

Taeyoon Kim, Chanho Park, Mansur Mukimbekov, Heelim Hong, Minseok Kim, Ze Jin, Changdae Kim, Ji-Yong Shin, Myeongjae Jeon

Hypergraph Motifs and Their Extensions Beyond Binary

Geon Lee, Seokbum Yoon, Jihoon Ko, Hyunju Kim, Kijung Shin

ReCG: Bottom-Up JSON Schema Discovery Using a Repetitive Cluster-and-Generalize Framework

Yun, J., Tak, B., Han, W.

Data Collection and Quality Challenges in Deep Learning: A Data-Centric AI Perspective

Whang, S. E., Roh, Y., Song, H., Lee, J.

Data Collection and Quality Challenges in Deep Learning: A Data-Centric AI Perspective

S. E. Whang, Y. Roh, H. Song, and J. Lee

Deploying Computational Storage for HTAP DBMSs Takes More Than Just Computation Offloading

Kitaek Lee†, Insoon Jo†, Jaechan Ahn†, Hyuk Lee, Hwang Lee, Woong Sul, Hyungsoo Jung*

FlashAlloc:Dedicating Flash Blocks By Objects

Jonghyeok Park, Soyee Choi, Gihwan Oh, Soojun Im, Moon-Wook Oh, Sang-Won Lee

LRU-C: Parallelizing Database I/Os for Flash SSDs

Bohyun Lee, Mijin An, and Sangwon Lee

NV-SQL: Boosting OLTP Performance with Non-Volatile DIMMs

Mijin An, Jonghyeok Park, Tianzheng Wang, Beomseok Nam, and Sang-Won Lee

Optimizing Data Pipelines for Machine Learning in Feature Stores

Rui Liu, Kwanghyun Park, Fotis Psallidas, Xiaoyong Zhu, Jinghui Mo, Rathijit Sen, Matteo Interlandi, Konstantinos Karanasos, Yuanyuan Tian, Jesús Camacho-Rodríguez

SAGE: A System for Uncertain Network Analysis

Eunjae Lee, Sam H. Noh, and Jiwon Seo

WALTZ: Leveraging Zone Append to Tighten the Tail Latency of LSM Tree on ZNS SSD

Jongsung Lee, Donguk Kim, and Jae W. Lee