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08/16/2023
Non-monotone Sequential Submodular Maximization
In this paper, we study a fundamental problem in submodular optimization...
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04/13/2023
Beyond Submodularity: A Unified Framework of Randomized Set Selection with Group Fairness Constraints
Machine learning algorithms play an important role in a variety of impor...
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04/10/2023
Achieving Long-term Fairness in Submodular Maximization through Randomization
Submodular function optimization has numerous applications in machine le...
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02/03/2023
Group Fairness in Non-monotone Submodular Maximization
Maximizing a submodular function has a wide range of applications in mac...
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11/21/2022
Towards Automated Polyp Segmentation Using Weakly- and Semi-Supervised Learning and Deformable Transformers
Polyp segmentation is a crucial step towards computer-aided diagnosis of...
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10/25/2022
Worst-Case Adaptive Submodular Cover
In this paper, we study the adaptive submodular cover problem under the ...
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09/28/2022
Secure Transmission for THz-Empowered RIS-Assisted Non-Terrestrial Networks
The non-terrestrial networks (NTNs) are recognized as a key component to...
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09/19/2022
Magnetic Resonance Fingerprinting with compressed sensing and distance metric learning
Magnetic Resonance Fingerprinting (MRF) is a novel technique that simult...
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08/17/2022
Streaming Adaptive Submodular Maximization
Many sequential decision making problems can be formulated as an adaptiv...
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07/26/2022
Partial-Monotone Adaptive Submodular Maximization
Many sequential decision making problems, including pool-based active le...
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07/07/2022
Group Fairness in Adaptive Submodular Maximization
In this paper, we study the classic submodular maximization problem subj...
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05/04/2022
GRU-TV: Time- and velocity-aware GRU for patient representation on multivariate clinical time-series data
Electronic health records (EHRs) provide a rich repository to track a pa...
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01/31/2022
G^2VD Planner: An Efficient Motion Planning Approach With Grid-based Generalized Voronoi Diagrams
In this letter, an efficient motion planning approach with grid-based ge...
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11/01/2021
Partial-Adaptive Submodular Maximization
The goal of a typical adaptive sequential decision making problem is to ...
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09/30/2021
Submodular Optimization Beyond Nonnegativity: Adaptive Seed Selection in Incentivized Social Advertising
The idea of social advertising (or social promotion) is to select a grou...
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04/05/2021
Optimal Sampling Gaps for Adaptive Submodular Maximization
Running machine learning algorithms on large and rapidly growing volumes...
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02/28/2021
Adaptive Regularized Submodular Maximization
In this paper, we study the problem of maximizing the difference between...
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12/16/2020
EffMoP: Efficient Motion Planning Based on Heuristic-Guided Motion Primitives Pruning and Path Optimization With Sparse-Banded Structure
To solve the autonomous navigation problem in complex environments, an e...
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12/11/2020
Adaptive Submodular Meta-Learning
Meta-Learning has gained increasing attention in the machine learning an...
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11/01/2020
MRPB 1.0: A Unified Benchmark for the Evaluation of Mobile Robot Local Planning Approaches
Local planning is one of the key technologies for mobile robots to achie...
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08/06/2020
FastLR: Non-Autoregressive Lipreading Model with Integrate-and-Fire
Lipreading is an impressive technique and there has been a definite impr...
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07/07/2020
Adaptive Cascade Submodular Maximization
In this paper, we propose and study the cascade submodular maximization ...
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03/11/2020
A deep belief network-based method to identify proteomic risk markers for Alzheimer disease
While a large body of research has formally identified apolipoprotein E ...
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11/28/2019
Product Sequencing and Pricing under Cascade Browse Model
In this paper, we study the joint product sequencing and pricing problem...
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06/19/2019
Clustering with Fairness Constraints: A Flexible and Scalable Approach
This study investigates a general variational formulation of fair cluste...
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05/14/2019
Adaptive Robust Optimization with Nearly Submodular Structure
Constrained submodular maximization has been extensively studied in the ...
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04/08/2019
Log-barrier constrained CNNs
This study investigates imposing inequality constraints on the outputs o...
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01/07/2019
CAE-RLSM: Consistent and Efficient Redundant Line Segment Merging for Online Feature Map Building
In order to obtain a compact line segment-based map representation for l...
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11/12/2018
Variational Community Partition with Novel Network Structure Centrality Prior
In this paper, we proposed a novel two-stage optimization method for net...
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09/24/2018
Modern Convex Optimization to Medical Image Analysis
Recently, diagnosis, therapy and monitoring of human diseases involve a ...
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05/28/2018
Multi-region segmentation of bladder cancer structures in MRI with progressive dilated convolutional networks
Precise segmentation of bladder walls and tumor regions is an essential ...
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04/09/2018
HyperDense-Net: A hyper-densely connected CNN for multi-modal image segmentation
Recently, dense connections have attracted substantial attention in comp...
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12/14/2017
Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation
Precise 3D segmentation of infant brain tissues is an essential step tow...
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10/16/2017
HyperDense-Net: A densely connected CNN for multi-modal image segmentation
Neonatal brain segmentation in magnetic resonance (MR) is a challenging ...
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10/15/2015
Shape Complexes in Continuous Max-Flow Hierarchical Multi-Labeling Problems
Although topological considerations amongst multiple labels have been pr...
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01/30/2015
A Proximal Bregman Projection Approach to Continuous Max-Flow Problems Using Entropic Distances
One issue limiting the adaption of large-scale multi-region segmentation...
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05/05/2014
