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09/08/2023
Weakly Supervised Point Clouds Transformer for 3D Object Detection
The annotation of 3D datasets is required for semantic-segmentation and ...
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05/22/2023
Time Fairness in Online Knapsack Problems
The online knapsack problem is a classic problem in the field of online ...
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05/09/2023
CSED: A Chinese Semantic Error Diagnosis Corpus
Recently, much Chinese text error correction work has focused on Chinese...
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04/20/2023
GenCorres: Consistent Shape Matching via Coupled Implicit-Explicit Shape Generative Models
This paper introduces GenCorres, a novel unsupervised joint shape matchi...
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04/04/2023
LiDAR-Based 3D Object Detection via Hybrid 2D Semantic Scene Generation
Bird's-Eye View (BEV) features are popular intermediate scene representa...
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01/26/2023
The Projection-Enhancement Network (PEN)
Contemporary approaches to instance segmentation in cell science use 2D ...
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01/11/2023
Near-optimal Online Algorithms for Joint Pricing and Scheduling in EV Charging Networks
With the rapid acceleration of transportation electrification, public ch...
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11/12/2022
Pareto-Optimal Learning-Augmented Algorithms for Online k-Search Problems
This paper leverages machine learned predictions to design online algori...
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09/24/2022
The Online Knapsack Problem with Departures
The online knapsack problem is a classic online resource allocation prob...
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07/24/2022
PatchRD: Detail-Preserving Shape Completion by Learning Patch Retrieval and Deformation
This paper introduces a data-driven shape completion approach that focus...
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04/15/2022
Improving Pre-trained Language Models with Syntactic Dependency Prediction Task for Chinese Semantic Error Recognition
Existing Chinese text error detection mainly focuses on spelling and sim...
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09/03/2021
Pareto-Optimal Learning-Augmented Algorithms for Online Conversion Problems
This paper leverages machine-learned predictions to design competitive a...
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08/21/2021
ARAPReg: An As-Rigid-As Possible Regularization Loss for Learning Deformable Shape Generators
This paper introduces an unsupervised loss for training parametric defor...
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03/26/2021
Tuning IR-cut Filter for Illumination-aware Spectral Reconstruction from RGB
To reconstruct spectral signals from multi-channel observations, in part...
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01/26/2021
Online Network Utility Maximization: Algorithm, Competitive Analysis, and Applications
We consider an online version of the well-studied network utility maximi...
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12/09/2020
Data-driven Competitive Algorithms for Online Knapsack and Set Cover
The design of online algorithms has tended to focus on algorithms with w...
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10/01/2020
Competitive Algorithms for the Online Multiple Knapsack Problem with Application to Electric Vehicle Charging
We introduce and study a general version of the fractional online knapsa...
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06/10/2020
H3DNet: 3D Object Detection Using Hybrid Geometric Primitives
We introduce H3DNet, which takes a colorless 3D point cloud as input and...
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05/18/2020
Delay-Aware Scheduling over mmWave/Sub-6 Dual Interfaces: A Reinforcement Learning Approach
We consider a transmitter with mmWave/sub6 dual interfaces. Due to the i...
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04/22/2020
Optimal Online Algorithms for One-Way Trading and Online Knapsack Problems: A Unified Competitive Analysis
We study two canonical online optimization problems under capacity/budge...
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04/20/2020
Mechanism Design for Online Resource Allocation: A Unified Approach
This paper concerns the mechanism design for online resource allocation ...
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05/04/2019
Oriented Point Sampling for Plane Detection in Unorganized Point Clouds
Plane detection in 3D point clouds is a crucial pre-processing step for ...
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11/30/2018
Adversarial Defense by Stratified Convolutional Sparse Coding
We propose an adversarial defense method that achieves state-of-the-art ...
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11/23/2018
MVPNet: Multi-View Point Regression Networks for 3D Object Reconstruction from A Single Image
In this paper, we address the problem of reconstructing an object's surf...
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05/07/2018
Stay On-Topic: Generating Context-specific Fake Restaurant Reviews
Automatically generated fake restaurant reviews are a threat to online r...
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08/18/2017
The Stochastic Replica Approach to Machine Learning: Stability and Parameter Optimization
We introduce a statistical physics inspired supervised machine learning ...
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07/22/2017
Asymptotic Performance Evaluation of Battery Swapping and Charging Station for Electric Vehicles
A battery swapping and charging station (BSCS) is an energy refueling st...
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03/05/2015
Inference of hidden structures in complex physical systems by multi-scale clustering
We survey the application of a relatively new branch of statistical phys...
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06/27/2014