yusuke1997/dblp-id-title huggingface dataset:
Optimal pricing and inventory policy with order cancelations under the cash-on-delivery payment scheme
Soft Control on Collective Behavior of a Group of Autonomous Agents By a Shill Agent
Resource Allocation to Minimize the Makespan with Multi-Resource Operations
A Proposal for the Automatic Computation of Envelopes of Families of Plane Curves
Quantum Algorithm Design: Techniques and Applications
Nonconforming finite element method for nonlinear parabolic equations
Studying Complex Adaptive Systems
Model checking for general linear error-in-covariables model with validation data
Stochastic maximum principle for optimal control problems of forward-backward delay systems involving impulse controls
Proportional-Integral Observer-Based PID Control of Positive Switched Systems
Model Reference Adaptive Control for Networked Distributed Systems with Strong Interconnections and Communication Delays
Allocating fixed costs with considering the return to scale: A DEA approach
Lifts of Non-Compact Convex Sets and Cone Factorizations
Stability analysis of decentralized adaptive backstepping control systems with actuator failures
H 2 /H ∞ control problems of backward stochastic systems
Identifiability and Solvability in Inverse Linear Quadratic Optimal Control Problems
State and output feedback finite-time guaranteed cost control of linear itô stochastic systems
Linearization of multi-valued nonlinear feedback shift registers
Fuzzy Views on Black-Litterman Portfolio Selection Model
Tolerance Limits Under Gamma Mixtures: Application in Hydrology
Recursive Projected Filter Algorithm with Binary-Valued Observations
A note on the model reference adaptive control of linear parabolic systems with constant coefficients
Design efficiency for minimum projection uniformity designs with two levels
On the algorithmic complexity of static structures
Strong Convergence of Monotone Hybrid Method for Fixed Point Iteration Processes
Bi-cubic B-spline fitting-based local volatility model with mean reversion process
Improve Robustness and Accuracy of Deep Neural Network with L 2,∞ Normalization
Reliability analysis of a cold standby repairable system with repairman extra work
Fairness of extra-gain guilty in performance of supply chain and contract design
Tolerance-Based Geometry Constraint Update Scheme for High-Precision Direct Modeling
Variable Selection for Structural Equation with Endogeneity
Equilibrium Investment Strategy with Learning About Equity Return
Consensus design for continuous-time multi-agent systems with communication delay
Asymptotic in the Ordered Networks with a Noisy Degree Sequence
Asymptotic Solution of Activator Inhibitor Systems for Nonlinear Reaction Diffusion Equations
Visualizing Planar and Space Implicit Real Algebraic Curves with Singularities
Parametric equation solving and quantifier elimination in finite fields with the characteristic set method
Safety-Certified Distributed Formation Control of Networked Autonomous Surface Vehicles by Unifying Control Lyapunov and Control Barrier Functions
Stock Efficiency Evaluation Based on Multiple Risk Measures: A DEA-Like Envelopment Approach
Involutive Bases Under Composition
Global Dynamics for an HIV Infection Model with Crowley-Martin Functional Response and Two Distributed Delays
Robust exponential stability of switched interval interconnected systems with unbounded delay
Hierarchical hypergames and Bayesian games: A generalization of the theoretical comparison of hypergames and Bayesian games considering hierarchy of perceptions
A Comparison of Two Approaches for Damage Evaluation on Optimal Mitigation and Adaptation Responses in China
Multi-period mean-variance portfolio selection with Markov regime switching and uncertain time-horizon
A Comprehensive Dea Approach for the Resource Allocation Problem based on Scale Economies Classification
Measuring Environmental Performance of Provincial Thermal Power Plants in China: A Malmquist DEA Approach with Fixed-Sum Undesirable Outputs
Isogeometric Analysis-Based Topological Optimization for Heterogeneous Parametric Porous Structures
Product Form Solution of a Queuing-Inventory System with Lost Sales and Server Vacation
Strategic Joining in a Single-Server Markovian Queue with Bernoulli Working Vacations
Parallel k -Core Decomposition: Theory and Practice
3dSAGER: Geospatial Entity Resolution over 3D Objects
An LDP Compatible Sketch for Securely Approximating Set Intersection Cardinalities
Computing Inconsistency Measures Under Differential Privacy
Optimizing Tensor Programs on Flexible Storage
High-Throughput Vector Similarity Search in Knowledge Graphs
VecFlow: A High-Performance Vector Data Management System for Filtered-Search on GPUs
Efficient Size-Bounded Community Search, Revisited: Frameworks for Practical Improvements
Mitigating Filter Bubbles Under a Competitive Diffusion Model
Can Large Language Models Be Query Optimizer for Relational Databases?
RM 2 : Answer Counting Queries Efficiently under Shuffle Differential Privacy
Chase Termination Beyond Polynomial Time
Efficient Maximum s -Bundle Search via Local Vertex Connectivity
Scaling Up k-Clique Percolation Community Detection
Counterfactual Explanation at Will, with Zero Privacy Leakage
Burr: A Benchmark for Ontology Learning from Relational Databases
Shapley Value Estimation based on Differential Matrix
Making It Tractable to Catch Duplicates and Conflicts in Graphs
Time-Critical Influence Minimization via Node Blocking
BT-Tree: A Reinforcement Learning Based Index for Big Trajectory Data
Grafite: Taming Adversarial Queries with Optimal Range Filters
Computing the Difference of Conjunctive Queries Efficiently
Improved Approximation Algorithms for Relational Clustering
Efficiently Computing Join Orders with Heuristic Search
Data Stream Clustering: An In-depth Empirical Study
SPACE: Cardinality Estimation for Path Queries Using Cardinality-Aware Sequence-based Learning
High-Throughput Ingestion for Video Warehouse: Comprehensive Configuration and Effective Exploration
The Moments Method for Approximate Data Cube Queries
Fast Shapley Value Computation in Data Assemblage Tasks as Cooperative Simple Games
SEFRQO: A Self-Evolving Fine-Tuned RAG-Based Query Optimizer
DPconv: Super-Polynomially Faster Join Ordering
Lemo: A Cache-Enhanced Learned Optimizer for Concurrent Queries
Guardrail: Automated Integrity Constraint Synthesis From Noisy Data
Circinus: Fast Redundancy-Reduced Subgraph Matching
Runtime Variation in Big Data Analytics
Buffered Persistence in B+ Trees
Wii: Dynamic Budget Reallocation In Index Tuning
P 2 FedRec: Towards Privacy-Preserving and Personalized Federated Recommendation via Relationship Awareness
Largest Triangle Sampling for Visualizing Time Series in Database
Tight Lower Bounds for Directed Cut Sparsification and Distributed Min-Cut
Efficient and Scalable Directed Densest Subgraph Discovery
Solo: Data Discovery Using Natural Language Questions Via A Self-Supervised Approach
Cracking SQL Barriers: An LLM-based Dialect Translation System
Insert-Only versus Insert-Delete in Dynamic Query Evaluation
Continual Release of Differentially Private Synthetic Data from Longitudinal Data Collections
Correlation Joins over Time Series Data Streams Utilizing Complementary Dimension Reduction and Transformation
VeDB: A Software and Hardware Enabled Trusted Relational Database
Perseus: Achieving Strong Consistency and High Data Freshness for Scalable Geo-distributed HTAP
Styx: Transactional Stateful Functions on Streaming Dataflows
Towards Generating Hop-constrained s-t Simple Path Graphs
An Experimental Comparison of Tree-data Structures for Connectivity Queries on Fully-dynamic Undirected Graphs
Generalizing Bulk-Synchronous Parallel Processing for Data Science: From Data to Threads and Agent-Based Simulations
PACMMOD Volume 2 Issue 3: Editorial
ISSD: Indicator Selection for Time Series State Detection
Personalized Truncation for Personalized Privacy
ThalamusDB: Approximate Query Processing on Multi-Modal Data
SplinterDB and Maplets: Improving the Tradeoffs in Key-Value Store Compaction Policy
BEE: Towards Redundancy Reduction via Block-Separator Decomposition for Subgraph Matching
Efficient Biclique Counting in Large Bipartite Graphs
Two Birds with One Stone: Efficient Deep Learning over Mislabeled Data through Subset Selection
Settling Time vs. Accuracy Tradeoffs for Clustering Big Data
Are Your LLM-based Text-to-SQL Models Secure? Exploring SQL Injection via Backdoor Attacks
LLM-Powered Interactive Graph Search: A Scalable and Practical Approach
PLForge: Enhancing Language Models for Natural Language to Procedural Extensions of SQL
TED: Towards Discovering Top-k Edge-Diversified Patterns in a Graph Database
QHL: A Fast Algorithm for Exact Constrained Shortest Path Search on Road Networks
GitTables: A Large-Scale Corpus of Relational Tables
Discovering Top-k Rules using Subjective and Objective Criteria
Fully Dynamic Algorithms for Graph Databases with Edge Differential Privacy
RWalks: Random Walks as Attribute Diffusers for Filtered Vector Search
An Adaptive Benchmark for Modeling User Exploration of Large Datasets
Revisiting Weighted Information Extraction: A Simpler and Faster Algorithm for Ranked Enumeration
Physical Visualization Design: Decoupling Interface and System Design
Detecting Logic Bugs in DBMSs via Equivalent Data Construction
TypeQL: A Type-Theoretic & Polymorphic Query Language
Subspace Collision: An Efficient and Accurate Framework for High-dimensional Approximate Nearest Neighbor Search
Hereditary Cohesive Subgraphs Enumeration on Bipartite Graphs: The Power of Pivot-based Approaches
Interactive Graph Search Made Simple
Design Guidelines for Correct, Efficient, and Scalable Synchronization using One-Sided RDMA
In-depth Analysis of Continuous Subgraph Matching in a Common Delta Query Compilation Framework
A General Framework for Per-record Differential Privacy
Materialized View Selection & View-Based Query Planning for Regular Path Queries
TableDC: Deep Clustering for Tabular Data
Approximate Sketches
In-Database Time Series Clustering
Shortest Paths Discovery in Uncertain Networks via Transfer Learning
Fast Density-Based Clustering: Geometric Approach
The Complexity of Why-Provenance for Datalog Queries
PrivLava: Synthesizing Relational Data with Foreign Keys under Differential Privacy
In-context Clustering-based Entity Resolution with Large Language Models: A Design Space Exploration
GoldMiner: Elastic Scaling of Training Data Pre-Processing Pipelines for Deep Learning
Efficient and Accurate PageRank Approximation on Large Graphs
Robust Privacy-Preserving Triangle Counting under Edge Local Differential Privacy
On Density-based Local Community Search
WaveStitch: Flexible and Fast Conditional Time Series Generation With Diffusion Models
MirrorKV: An Efficient Key-Value Store on Hybrid Cloud Storage with Balanced Performance of Compaction and Querying
The Image Calculator: 10x Faster Image-AI Inference by Replacing JPEG with Self-designing Storage Format
PACMMOD V3, N3 (SIGMOD), June 2025: Editorial
Automated Data Visualization from Natural Language via Large Language Models: An Exploratory Study
AixelAsk: A Stepwise-Guided Retrieval and Reasoning Framework for Large Table QA
Memory-Efficient and Flexible Detection of Heavy Hitters in High-Speed Networks
MCTuner: Spatial Decomposition-Enhanced Database Tuning via LLM-Guided Exploration
A Local Search Approach to Efficient ( k,p )-Core Maintenance
Global and Local Differentially Private Release of Count-Weighted Graphs
FAAQP: Fast and Accurate Approximate Query Processing based on Bitmap-augmented Sum-Product Network
A Lower Bound on Unambiguous Context Free Grammars via Communication Complexity
Relative Keys: Putting Feature Explanation into Context
Restricted Chase Termination: You Want More than Fairness
Relevance Queries for Interval Data
An Improved Fully Dynamic Algorithm for Counting 4-Cycles in General Graphs Using Fast Matrix Multiplication
Disclosure-Compliant Query Answering
Efficient and Effective Cardinality Estimation for Skyline Family
Apt-Serve: Adaptive Request Scheduling on Hybrid Cache for Scalable LLM Inference Serving
DiskJoin: Large-scale Vector Similarity Join with SSD
HR-Index: An Effective Index Method for Historical Reachability Queries over Evolving Graphs
MAST: Towards Efficient Analytical Query Processing on Point Cloud Data
High Performance or Low Memory? An Updatable Learned Index Framework for Time-Space Tradeoff
GeoGauss: Strongly Consistent and Light-Coordinated OLTP for Geo-Replicated SQL Database
DoppelGanger++: Towards Fast Dependency Graph Generation for Database Replay
Parallel Strong Connectivity Based on Faster Reachability
Prerequisite-driven Fair Clustering on Heterogeneous Information Networks
Approximate DBSCAN under Differential Privacy
QURE: AI-Assisted and Automatically Verified UDF Inlining
CaaS-LSM: Compaction-as-a-Service for LSM-based Key-Value Stores in Storage Disaggregated Infrastructure
The Weisfeiler-Leman Dimension of Conjunctive Queries
Robust Statistical Analysis on Streaming Data with Near-Duplicates in General Metric Spaces
Lorentz: Learned SKU Recommendation Using Profile Data
Discovering Functional Dependencies through Hitting Set Enumeration
A Unifying Algorithm for Hierarchical Queries
Accelerating High-Dimensional ANN Search via Skipping Redundant Distance Computations
Generation of Training Examples for Tabular Natural Language Inference
FlexER: Flexible Entity Resolution for Multiple Intents
Efficient k-Clique Listing: An Edge-Oriented Branching Strategy
ST4ML: Machine Learning Oriented Spatio-Temporal Data Processing at Scale
Federated Heavy Hitter Analytics with Local Differential Privacy
Predicate Pushdown for Data Science Pipelines
Faster Algorithms for Fair Max-Min Diversification in R d
Efficient Approximation of Kemeny's Constant for Large Graphs
Unicorn: A Unified Multi-tasking Model for Supporting Matching Tasks in Data Integration
HotStuff-1: Linear Consensus with One-Phase Speculation
Efficient and Accurate Differentially Private Cardinality Continual Releases
SH2O: Efficient Data Access for Work-Sharing Databases
A Learned Cuckoo Filter for Approximate Membership Queries over Variable-sized Sliding Windows on Data Streams
Efficient Approximate Nearest Neighbor Search in Multi-dimensional Databases
Pontus: Finding Waves in Data Streams
On Querying Historical Connectivity in Temporal Graphs
How To Optimize My Blockchain? A Multi-Level Recommendation Approach
CAMAL: Optimizing LSM-trees via Active Learning
NeurStore: Efficient In-database Deep Learning Model Management System
TranSQL + : Serving Large Language Models with SQL on Low-Resource Hardware
Efficient Star-based Truss Maintenance on Dynamic Graphs
Ultraverse: An Efficient What-if Analysis Framework for Software Applications Interacting with Database Systems
WISK: A Workload-aware Learned Index for Spatial Keyword Queries
Navigating Labels and Vectors: A Unified Approach to Filtered Approximate Nearest Neighbor Search
Matching Roles from Temporal Data: Why Joe Biden is not only President, but also Commander-in-Chief
On the Feasibility of Forgetting in Data Streams
A Unified Approach for Resilience and Causal Responsibility with Integer Linear Programming (ILP) and LP Relaxations
Visualization-Oriented Progressive Time Series Transformation
HAIPipe: Combining Human-generated and Machine-generated Pipelines for Data Preparation
LAQy: Efficient and Reusable Query Approximations via Lazy Sampling
Hops Can be Constrained: Efficient Distance Queries on Large Time-Dependent Road Networks
RLER-TTE: An Efficient and Effective Framework for En Route Travel Time Estimation with Reinforcement Learning
Automating and Optimizing Data-Centric What-If Analyses on Native Machine Learning Pipelines
Query Refinement for Diverse Top-k Selection
F3KM: Federated, Fair, and Fast k-means
LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation
The Battleship Approach to the Low Resource Entity Matching Problem
Selection Pushdown in Column Stores using Bit Manipulation Instructions
MEMO: Fine-grained Tensor Management For Ultra-long Context LLM Training
λ-Tune: Harnessing Large Language Models for Automated Database System Tuning
Hamming Tree: The Case for Energy-Aware Indexing for NVMs
Exploiting Structure in Regular Expression Queries
Better than Composition: How to Answer Multiple Relational Queries under Differential Privacy
Discovering Similarity Inclusion Dependencies
Connectivity-Oriented Property Graph Partitioning for Distributed Graph Pattern Query Processing
AgentTune: An Agent-Based Large Language Model Framework for Database Knob Tuning
Language-Model Based Informed Partition of Databases to Speed Up Pattern Mining
LIT: Lightning-fast In-memory Temporal Indexing
Gem: Scalable Monotonic Graph Processing Beyond Billion-Scale on a Single Machine
Sequence-Based Target Coin Prediction for Cryptocurrency Pump-and-Dump
Akane: Perplexity-Guided Time Series Data Cleaning
DEG: Efficient Hybrid Vector Search Using the Dynamic Edge Navigation Graph
Transaction Scheduling: From Conflicts to Runtime Conflicts
Modyn: Data-Centric Machine Learning Pipeline Orchestration
PACMMOD V1 N2 Editorial
Constant-time Connectivity Querying in Dynamic Graphs
The Complexity of Maximal Common Subsequence Enumeration
High-Throughput, Cost-Effective Billion-Scale Vector Search with a Single GPU
One Index for All: Towards Efficient Personalized PageRank Computation for Every Damping Factor
Efficient Approximate Nearest Neighbor Search via Hemi-Sphere Centroids Graph
N2E: A General Framework to Reduce Node-Differential Privacy to Edge-Differential Privacy for Graph Analytics
SkyPIE: A Fast & Accurate Oracle for Object Placement
High-Ratio Compression for Machine-Generated Data
Cache-Craft: Managing Chunk-Caches for Efficient Retrieval-Augmented Generation
A Neural Approach to Spatio-Temporal Data Release with User-Level Differential Privacy
VeriTxn: Verifiable Transactions for Cloud-Native Databases with Storage Disaggregation
Query Compilation Without Regrets
Detecting Logic Bugs of Join Optimizations in DBMS
Galley: Modern Query Optimization for Sparse Tensor Programs
PreVision: An Out-of-Core Matrix Computation System with Optimal Buffer Replacement
Perfect Sampling in Turnstile Streams Beyond Small Moments
iRangeGraph: Improvising Range-dedicated Graphs for Range-filtering Nearest Neighbor Search
Aegis: A Correlation-Based Data Masking Advisor for Data Sharing Ecosystems
FeatureLTE: Learning to Estimate Feature Importance
Constant Optimization Driven Database System Testing
Pandora: An Efficient and Rapid Solution for Persistence-Based Tasks in High-Speed Data Streams
SPARTAN: Data-Adaptive Symbolic Time-Series Approximation
GuP: Fast Subgraph Matching by Guard-based Pruning
Most Expected Winner: An Interpretation of Winners over Uncertain Voter Preferences
Efficient Approximation Framework for Attribute Recommendation
StarfishDB: A Query Execution Engine for Relational Probabilistic Programming
Homomorphic Compression: Making Text Processing on Compression Unlimited
Moving on From Group Commit: Autonomous Commit Enables High Throughput and Low Latency on NVMe SSDs
Minimum Spanning Tree Maintenance in Dynamic Graphs
Proximity Queries on Point Clouds using Rapid Construction Path Oracle
Tao: Improving Resource Utilization while Guaranteeing SLO in Multi-tenant Relational Database-as-a-Service
LPStream: Fine-grained Lazy Provenance for Stream Processing
AutoOD: Automatic Outlier Detection
Robust and Transferable Log-based Anomaly Detection
DISCES: Systematic Discovery of Event Stream Queries
Composite Object Normal Forms: Parameterizing Boyce-Codd Normal Form by the Number of Minimal Keys
HARMONY: A Scalable Distributed Vector Database for High-Throughput Approximate Nearest Neighbor Search
Multi-Level Graph Representation Learning Through Predictive Community-based Partitioning
Minimum Change≠ Best Cleaning: Parallel and Incremental Error Detection under Integrity Constraints
Provenance-Enabled Explainable AI
Efficient High-Quality Clustering for Large Bipartite Graphs
Auto-Test: Learning Semantic-Domain Constraints for Unsupervised Error Detection in Tables
IcebergHT: High Performance Hash Tables Through Stability and Low Associativity
PECJ: Stream Window Join on Disorder Data Streams with Proactive Error Compensation
Large-Scale Multiple Query Optimisation with Incremental Quantum(-Inspired) Annealing
PACMMOD Volume 2 Issue 2: Editorial
A Framework for Privacy Preserving Localized Graph Pattern Query Processing
TGraph: A Tensor-centric Graph Processing Framework
Serf : Streaming Error-Bounded Floating-Point Compression
Probabilistic Reasoning at Scale: Trigger Graphs to the Rescue
High-Dimensional Approximate Nearest Neighbor Search: with Reliable and Efficient Distance Comparison Operations
Sequoia: An Accessible and Extensible Framework for Privacy-Preserving Machine Learning over Distributed Data
Efficient GPU-Accelerated Subgraph Matching
Consistent Query Answering for Primary Keys on Rooted Tree Queries
Continual Observation of Joins under Differential Privacy
Hierarchical Cut Labelling - Scaling Up Distance Queries on Road Networks
SHARQ: Explainability Framework for Association Rules on Relational Data
Efficient Exact Resistance Distance Computation on Small-Treewidth Graphs: A Labelling Approach
Entity/Relationship Graphs: Principled Design, Modeling, and Data Integrity Management of Graph Databases
SuSe: Summary Selection for Regular Expression Subsequence Aggregation over Streams
Codd's Theorem for Databases over Semirings
Zero-sided RDMA: Network-driven Data Shuffling for Disaggregated Heterogeneous Cloud DBMSs
Rethinking the Encoding of Integers for Scans on Skewed Data
Postulates for Provenance: Instance-based provenance for first-order logic
Regular Expression Indexing for Log Analysis
Athena: An Effective Learning-based Framework for Query Optimizer Performance Improvement
SSIN: Self-Supervised Learning for Rainfall Spatial Interpolation
P4KVS: A Role-Replica Separation Offloading Method to Achieve In-Network Consistency for KV Stores Based on P4 Switches
Incremental Rule Discovery in Response to Parameter Updates
Combined Approximations for Uniform Operational Consistent Query Answering
FineMon: An Innovative Adaptive Network Telemetry Scheme for Fine-Grained, Multi-Metric Data Monitoring with Dynamic Frequency Adjustment and Enhanced Data Recovery
Demystifying the QoS and QoE of Edge-hosted Video Streaming Applications in the Wild with SNESet
Regularized Pairwise Relationship based Analytics for Structured Data
Udon: Efficient Debugging of User-Defined Functions in Big Data Systems with Line-by-Line Control
Distinct Shortest Walk Enumeration for RPQs
Data Acquisition for Improving Model Confidence
Rewriting Consistent Answers On Annotated Data
Managing Conflicting Interests of Stakeholders in Influencer Marketing
Computing Approximate Graph Edit Distance via Optimal Transport
Private Synthetic Data Generation in Bounded Memory
Query-Guided Resolution in Uncertain Databases
SPAS: Continuous Release of Data Streams under w-Event Differential Privacy
Temporal JSON Keyword Search
Cardinality Estimation of LIKE Predicate Queries using Deep Learning
DRPQ: Distributed Evaluation of Regular Path Queries On Streaming Graphs
Focus! Fast On-disk Concurrency-control Using Sketches
EARLY: Efficient and Reliable Graph Neural Network for Dynamic Graphs
DataVinci: Learning Syntactic and Semantic String Repairs
HyperMR: Efficient Hypergraph-enhanced Matrix Storage on Compute-in-Memory Architecture
On Reporting Durable Patterns in Temporal Proximity Graphs
DFlush: DPU-Offloaded Flush for Disaggregated LSM-based Key-Value Stores
Origin-Destination Travel Time Oracle for Map-based Services
Keep It Simple: Testing Databases via Differential Query Plans
Pea Hash: A Performant Extendible Adaptive Hashing Index
A Rank-Based Approach to Recommender System's Top-K Queries with Uncertain Scores
BALANCE: Bayesian Linear Attribution for Root Cause Localization
A Cost-Effective LLM-based Approach to Identify Wildlife Trafficking in Online Marketplaces
ForestTI: A Scalable Inverted-Index-Oriented Timeseries Management System with Flexible Memory Efficiency
Accelerate Distributed Joins with Predicate Transfer
PACMMOD V3, N4 (SIGMOD), September 2025: Editorial