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08/22/2023
Masked Cross-image Encoding for Few-shot Segmentation
Few-shot segmentation (FSS) is a dense prediction task that aims to infe...
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08/07/2023
Imbalanced Large Graph Learning Framework for FPGA Logic Elements Packing Prediction
Packing is a required step in a typical FPGA CAD flow. It has high impac...
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07/11/2023
Influential Simplices Mining via Simplicial Convolutional Network
Simplicial complexes have recently been in the limelight of higher-order...
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04/05/2023
DRAC: Diabetic Retinopathy Analysis Challenge with Ultra-Wide Optical Coherence Tomography Angiography Images
Computer-assisted automatic analysis of diabetic retinopathy (DR) is of ...
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04/03/2023
RPTQ: Reorder-based Post-training Quantization for Large Language Models
Large-scale language models (LLMs) have demonstrated outstanding perform...
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03/23/2023
Unsupervised Deep Probabilistic Approach for Partial Point Cloud Registration
Deep point cloud registration methods face challenges to partial overlap...
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03/23/2023
Benchmarking the Reliability of Post-training Quantization: a Particular Focus on Worst-case Performance
Post-training quantization (PTQ) is a popular method for compressing dee...
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11/02/2022
DynamicLight: Dynamically Tuning Traffic Signal Duration with DRL
Deep reinforcement learning (DRL) is becoming increasingly popular in im...
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10/06/2022
Data Augmentation-free Unsupervised Learning for 3D Point Cloud Understanding
Unsupervised learning on 3D point clouds has undergone a rapid evolution...
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07/15/2022
Lightweight Vision Transformer with Cross Feature Attention
Recent advances in vision transformers (ViTs) have achieved great perfor...
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07/10/2022
Self-attention on Multi-Shifted Windows for Scene Segmentation
Scene segmentation in images is a fundamental yet challenging problem in...
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02/05/2022
Unsupervised Learning on 3D Point Clouds by Clustering and Contrasting
Learning from unlabeled or partially labeled data to alleviate human lab...
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12/30/2021
Knowledge intensive state design for traffic signal control
There is a general trend of applying reinforcement learning (RL) techniq...
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12/19/2021
Expression is enough: Improving traffic signal control with advanced traffic state representation
Recently, finding fundamental properties for traffic state representatio...
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12/04/2021
Efficient Pressure: Improving efficiency for signalized intersections
Since conventional approaches could not adapt to dynamic traffic conditi...
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11/24/2021
PTQ4ViT: Post-Training Quantization Framework for Vision Transformers
Quantization is one of the most effective methods to compress neural net...
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08/26/2021
Approximation algorithms for the random-field Ising model
Approximating the partition function of the ferromagnetic Ising model wi...
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06/13/2021
InfoBehavior: Self-supervised Representation Learning for Ultra-long Behavior Sequence via Hierarchical Grouping
E-commerce companies have to face abnormal sellers who sell potentially-...
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12/20/2020
PTN: A Poisson Transfer Network for Semi-supervised Few-shot Learning
The predicament in semi-supervised few-shot learning (SSFSL) is to maxim...
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12/01/2020
Field-wise Learning for Multi-field Categorical Data
We propose a new method for learning with multi-field categorical data. ...
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11/04/2020
Multi-layer Feature Aggregation for Deep Scene Parsing Models
Scene parsing from images is a fundamental yet challenging problem in vi...
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11/02/2020
Dual Attention on Pyramid Feature Maps for Image Captioning
Generating natural sentences from images is a fundamental learning task ...
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09/29/2020
A Framework of Learning Through Empirical Gain Maximization
We develop in this paper a framework of empirical gain maximization (EGM...
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09/27/2020
A Statistical Learning Assessment of Huber Regression
As one of the triumphs and milestones of robust statistics, Huber regres...
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06/30/2020
Optimal Rates of Distributed Regression with Imperfect Kernels
Distributed machine learning systems have been receiving increasing atte...
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05/28/2020
TOAN: Target-Oriented Alignment Network for Fine-Grained Image Categorization with Few Labeled Samples
The challenges of high intra-class variance yet low inter-class fluctuat...
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03/07/2020
ShadowSync: Performing Synchronization in the Background for Highly Scalable Distributed Training
Distributed training is useful to train complicated models to shorten th...
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08/24/2019
SBSGAN: Suppression of Inter-Domain Background Shift for Person Re-Identification
Cross-domain person re-identification (re-ID) is challenging due to the ...
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08/04/2019
Low-Rank Pairwise Alignment Bilinear Network For Few-Shot Fine-Grained Image Classification
Deep neural networks have demonstrated advanced abilities on various vis...
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07/22/2019
Model Adaptation via Model Interpolation and Boosting for Web Search Ranking
This paper explores two classes of model adaptation methods for Web sear...
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07/02/2019
Sample Adaptive Multiple Kernel Learning for Failure Prediction of Railway Points
Railway points are among the key components of railway infrastructure. A...
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05/09/2019
Solo citations, duet citations, and prelude citations: New measures of the disruption of academic papers
It is important to measure the disruption of academic papers. According ...
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04/07/2019
Compare More Nuanced:Pairwise Alignment Bilinear Network For Few-shot Fine-grained Learning
The recognition ability of human beings is developed in a progressive wa...
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03/11/2019
Fast Registration for cross-source point clouds by using weak regional affinity and pixel-wise refinement
Many types of 3D acquisition sensors have emerged in recent years and po...
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11/05/2018
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
Gliomas are the most common primary brain malignancies, with different d...
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07/03/2018
Higher-dimension Tensor Completion via Low-rank Tensor Ring Decomposition
The problem of incomplete data is common in signal processing and machin...
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06/23/2018
Overlapping Sliced Inverse Regression for Dimension Reduction
Sliced inverse regression (SIR) is a pioneer tool for supervised dimensi...
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06/06/2018
DMOS-PUF: Dynamic Multi-key-selection Obfuscation for Strong PUFs against Machine Learning Attacks
Strong physical unclonable function (PUF) is a promising solution for de...
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01/21/2018
Multi-pseudo Regularized Label for Generated Samples in Person Re-Identification
Sufficient training data is normally required to train deeply learned mo...
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08/07/2017
Learning Theory of Distributed Regression with Bias Corrected Regularization Kernel Network
Distributed learning is an effective way to analyze big data. In distrib...
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03/28/2017
Robust Guided Image Filtering
The process of using one image to guide the filtering process of another...
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02/26/2017
Citation personal display: A case study of personal websites by physicists in 11 well-known universities
This paper aims to investigate the extent to which researchers display c...
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10/24/2016
A coarse-to-fine algorithm for registration in 3D street-view cross-source point clouds
With the development of numerous 3D sensing technologies, object registr...
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08/18/2016
A Systematic Approach for Cross-source Point Cloud Registration by Preserving Macro and Micro Structures
We propose a systematic approach for registering cross-source point clou...
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03/15/2016
Bias Correction for Regularized Regression and its Application in Learning with Streaming Data
We propose an approach to reduce the bias of ridge regression and regula...
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12/26/2015
Data Driven Robust Image Guided Depth Map Restoration
Depth maps captured by modern depth cameras such as Kinect and Time-of-F...
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06/17/2015
Robust High Quality Image Guided Depth Upsampling
Time-of-Flight (ToF) depth sensing camera is able to obtain depth maps a...
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04/23/2015
A new approach for physiological time series
We developed a new approach for the analysis of physiological time serie...
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12/19/2014
Multiple Authors Detection: A Quantitative Analysis of Dream of the Red Chamber
Inspired by the authorship controversy of Dream of the Red Chamber and t...
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12/17/2014
