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04/07/2023
SGDP: A Stream-Graph Neural Network Based Data Prefetcher
Data prefetching is important for storage system optimization and access...
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03/04/2023
Conflict-driven Structural Learning Towards Higher Coverage Rate in ATPG
Due to the increasing challenges posed by the relentless rise in the des...
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07/26/2022
Branch Ranking for Efficient Mixed-Integer Programming via Offline Ranking-based Policy Learning
Deriving a good variable selection strategy in branch-and-bound is essen...
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03/21/2022
LQoCo: Learning to Optimize Cache Capacity Overloading in Storage Systems
Cache plays an important role to maintain high and stable performance (i...
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03/06/2022
A Survey for Solving Mixed Integer Programming via Machine Learning
This paper surveys the trend of leveraging machine learning to solve mix...
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03/02/2022
Machine Learning Methods in Solving the Boolean Satisfiability Problem
This paper reviews the recent literature on solving the Boolean satisfia...
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02/25/2022
A Data-Driven Column Generation Algorithm For Bin Packing Problem in Manufacturing Industry
The bin packing problem exists widely in real logistic scenarios (e.g., ...
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01/17/2022
Learning to Reformulate for Linear Programming
It has been verified that the linear programming (LP) is able to formula...
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01/17/2022
An Improved Reinforcement Learning Algorithm for Learning to Branch
Most combinatorial optimization problems can be formulated as mixed inte...
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08/24/2021
Context-aware Telco Outdoor Localization
Recent years have witnessed the fast growth in telecommunication (Telco)...
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08/10/2021
Grassland: A Rapid Algebraic Modeling System for Million-variable Optimization
An algebraic modeling system (AMS) is a type of mathematical software fo...
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06/14/2021
Learning-Aided Heuristics Design for Storage System
Computer systems such as storage systems normally require transparent wh...
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05/28/2021
Learning to Select Cuts for Efficient Mixed-Integer Programming
Cutting plane methods play a significant role in modern solvers for tack...
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05/27/2021
Learning to Optimize Industry-Scale Dynamic Pickup and Delivery Problems
The Dynamic Pickup and Delivery Problem (DPDP) is aimed at dynamically s...
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03/09/2021
Learning to Optimize DAG Scheduling in Heterogeneous Environment
Directed Acyclic Graph (DAG) scheduling in a heterogeneous environment i...
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08/10/2020
Bilevel Learning Model Towards Industrial Scheduling
Automatic industrial scheduling, aiming at optimizing the sequence of jo...
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05/07/2020
DFSeer: A Visual Analytics Approach to Facilitate Model Selection for Demand Forecasting
Selecting an appropriate model to forecast product demand is critical to...
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02/25/2020
Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting
This work proposes a novel approach for multiple time series forecasting...
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12/10/2019
Transfer Learning-Based Outdoor Position Recovery with Telco Data
Telecommunication (Telco) outdoor position recovery aims to localize out...
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07/29/2019