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09/17/2023
Convex Latent-Optimized Adversarial Regularizers for Imaging Inverse Problems
Recently, data-driven techniques have demonstrated remarkable effectiven...
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08/29/2023
CAPS: A Practical Partition Index for Filtered Similarity Search
With the surging popularity of approximate near-neighbor search (ANNS), ...
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08/13/2023
SimMatchV2: Semi-Supervised Learning with Graph Consistency
Semi-Supervised image classification is one of the most fundamental prob...
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07/19/2023
Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation
Modeling customer shopping intentions is a crucial task for e-commerce, ...
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06/02/2023
Knowledge Graph Reasoning over Entities and Numerical Values
A complex logic query in a knowledge graph refers to a query expressed i...
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05/26/2023
Mitigating Exploitation Bias in Learning to Rank with an Uncertainty-aware Empirical Bayes Approach
Ranking is at the core of many artificial intelligence (AI) applications...
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05/26/2023
CARAMEL: A Succinct Read-Only Lookup Table via Compressed Static Functions
Lookup tables are a fundamental structure in many data processing and sy...
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10/08/2022
Short Text Pre-training with Extended Token Classification for E-commerce Query Understanding
E-commerce query understanding is the process of inferring the shopping ...
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04/08/2022
CERES: Pretraining of Graph-Conditioned Transformer for Semi-Structured Session Data
User sessions empower many search and recommendation tasks on a daily ba...
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10/06/2021
A Fast Randomized Algorithm for Massive Text Normalization
Many popular machine learning techniques in natural language processing ...
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08/19/2021
QUEACO: Borrowing Treasures from Weakly-labeled Behavior Data for Query Attribute Value Extraction
We study the problem of query attribute value extraction, which aims to ...
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05/24/2021
DynaHash: Efficient Data Rebalancing in Apache AsterixDB (Extended Version)
Parallel shared-nothing data management systems have been widely used to...
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11/20/2020
Image Denoising by Gaussian Patch Mixture Model and Low Rank Patches
Non-local self-similarity based low rank algorithms are the state-of-the...
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09/24/2020
Unifying data for fine-grained visual species classification
Wildlife monitoring is crucial to nature conservation and has been done ...
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05/15/2020
Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs
Detecting anomalies in dynamic graphs is a vital task, with numerous pra...
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04/30/2020
Efficiently Reclaiming Space in a Log Structured Store
A log structured store uses a single write I/O for a number of diverse a...
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04/22/2020
Breaking Down Memory Walls: Adaptive Memory Management in LSM-based Storage Systems (Extended Version)
Log-Structured Merge-trees (LSM-trees) have been widely used in modern N...
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02/27/2020
Simulation of Real-time Routing for UAS traffic Management with Communication and Airspace Safety Considerations
Small Unmanned Aircraft Systems (sUAS) will be an important component of...
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06/23/2019
On Performance Stability in LSM-based Storage Systems
The Log-Structured Merge-Tree (LSM-tree) has been widely adopted for use...
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12/18/2018
LSM-based Storage Techniques: A Survey
In recent years, Log-Structured Merge-trees (LSM-trees) have been widely...
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08/27/2018
Efficient Data Ingestion and Query Processing for LSM-Based Storage Systems
In recent years, the Log Structured Merge (LSM) tree has been widely ado...
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02/21/2018
Scaling-up Split-Merge MCMC with Locality Sensitive Sampling (LSS)
Split-Merge MCMC (Monte Carlo Markov Chain) is one of the essential and ...
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08/25/2017
Accelerating Dependency Graph Learning from Heterogeneous Categorical Event Streams via Knowledge Transfer
Dependency graph, as a heterogeneous graph representing the intrinsic re...
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06/20/2017
Arrays of (locality-sensitive) Count Estimators (ACE): High-Speed Anomaly Detection via Cache Lookups
Anomaly detection is one of the frequent and important subroutines deplo...
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11/12/2016