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01/25/2023
Learning to Rank Normalized Entropy Curves with Differentiable Window Transformation
Recent automated machine learning systems often use learning curves rank...
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10/24/2022
A Practical Distributed ADMM Solver for Billion-Scale Generalized Assignment Problems
Assigning items to owners is a common problem found in various real-worl...
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08/27/2021
A framework for massive scale personalized promotion
Technology companies building consumer-facing platforms may have access ...
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06/09/2021
A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs
Combinatorial Optimization (CO) has been a long-standing challenging res...
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03/05/2021
Learning to Schedule DAG Tasks
Scheduling computational tasks represented by directed acyclic graphs (D...
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03/03/2021
Non-local Channel Aggregation Network for Single Image Rain Removal
Rain streaks showing in images or videos would severely degrade the perf...
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11/23/2020
Language guided machine action
Here we build a hierarchical modular network called Language guided mach...
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06/11/2020
Visualizing and Understanding Vision System
How the human vision system addresses the object identity-preserving rec...
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05/19/2020
Human-like general language processing
Using language makes human beings surpass animals in wisdom. To let mach...
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02/08/2020
Refinements of Young's integral inequality via fundamental inequalities and mean value theorems for derivatives
In the paper, the authors review several refinements of Young's integral...
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02/02/2020
Solving Billion-Scale Knapsack Problems
Knapsack problems (KPs) are common in industry, but solving KPs is known...
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05/18/2019
Human-like machine thinking: Language guided imagination
Human thinking requires the brain to understand the meaning of language ...
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04/12/2018