b'Hao Chen'

research

∙ 06/30/2022

InsMix: Towards Realistic Generative Data Augmentation for Nuclei Instance Segmentation

Nuclei Segmentation from histology images is a fundamental task in digit...

Yi Lin, et al. ∙

research

∙ 06/29/2022

On Hull-Variation Problem of Equivalent Linear Codes

The intersection C⋂ C^⊥ (C⋂ C^⊥_h) of a linear code C and its Euclidean ...

Hao Chen, et al. ∙

research

∙ 06/28/2022

New MDS Entanglement-Assisted Quantum Codes from MDS Hermitian Self-Orthogonal Codes

The intersection C⋂ C^⊥_H of a linear code C⊂ F_q^2 and its Hermitian du...

Hao Chen, et al. ∙

research

∙ 06/25/2022

Covering b-Symbol Metric Codes and the Generalized Singleton Bound

Symbol-pair codes were proposed for the application in high density stor...

Hao Chen, et al. ∙

research

∙ 06/08/2022

Dual-Distribution Discrepancy for Anomaly Detection in Chest X-Rays

Chest X-ray (CXR) is the most typical radiological exam for diagnosis of...

Yu Cai, et al. ∙

research

∙ 06/07/2022

RING-CPD: Asymptotic Distribution-free Change-point Detection for Multivariate and Non-Euclidean Data

Change-point detection (CPD) concerns detecting distributional changes i...

Doudou Zhou, et al. ∙

research

∙ 06/06/2022

Linear MSRD codes with Various Matrix Sizes and Unrestricted Lengths

A sum-rank-metric code attaining the Singleton bound is called maximum s...

Hao Chen, et al. ∙

research

∙ 06/03/2022

New kernel-based change-point detection

Change-point analysis plays a significant role in various fields to reve...

Hoseung Song, et al. ∙

research

∙ 06/02/2022

RACA: Relation-Aware Credit Assignment for Ad-Hoc Cooperation in Multi-Agent Deep Reinforcement Learning

In recent years, reinforcement learning has faced several challenges in ...

Hao Chen, et al. ∙

research

∙ 06/01/2022

Strict Half-Singleton Bound, Strict Direct Upper Bound for Linear Insertion-Deletion Codes and Optimal Codes

Insertion-deletion codes (insdel codes for short) are used for correctin...

Qinqin Ji, et al. ∙

research

∙ 06/01/2022

Lower and Upper Bounds for Numbers of Linear Regions of Graph Convolutional Networks

The research for characterizing GNN expressiveness attracts much attenti...

Hao Chen, et al. ∙

research

∙ 05/27/2022

New graph-based multi-sample tests for high-dimensional and non-Euclidean data

Testing the equality in distributions of multiple samples is a common ta...

Hoseung Song, et al. ∙

research

∙ 05/27/2022

Semantic-aware Dense Representation Learning for Remote Sensing Image Change Detection

Training deep learning-based change detection (CD) model heavily depends...

Hao Chen, et al. ∙

research

∙ 05/26/2022

New Explicit Good Linear Sum-Rank-Metric Codes

Sum-rank-metric codes have wide applications in universal error correcti...

Hao Chen, et al. ∙

research

∙ 05/23/2022

Collaborative Adversarial Training

The vulnerability of deep neural networks (DNNs) to adversarial examples...

Qizhang Li, et al. ∙

research

∙ 05/18/2022

PASH at TREC 2021 Deep Learning Track: Generative Enhanced Model for Multi-stage Ranking

This paper describes the PASH participation in TREC 2021 Deep Learning T...

Yixuan Qiao, et al. ∙

research

∙ 05/15/2022

FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning

Pseudo labeling and consistency regularization approaches with confidenc...

Yidong Wang, et al. ∙

research

∙ 05/14/2022

VRCockpit: Mitigating Simulator Sickness in VR Games Using Multiple Egocentric 2D View Frames

Virtual reality head-mounted displays (VR HMDs) have become a popular pl...

Hao Chen, et al. ∙

research

∙ 05/05/2022

Exploiting Correspondences with All-pairs Correlations for Multi-view Depth Estimation

Multi-view depth estimation plays a critical role in reconstructing and ...

Kai Cheng, et al. ∙

research

∙ 04/24/2022

Few-Shot Speaker Identification Using Depthwise Separable Convolutional Network with Channel Attention

Although few-shot learning has attracted much attention from the fields ...

Yanxiong Li, et al. ∙

research

∙ 04/18/2022

Benchmarking Domain Generalization on EEG-based Emotion Recognition

Electroencephalography (EEG) based emotion recognition has demonstrated ...

Yan Li, et al. ∙

research

∙ 04/03/2022

Better Lattice Quantizers Constructed from Complex Integers

Real-valued lattices and complex-valued lattices are mutually convertibl...

Shanxiang Lyu, et al. ∙

research

∙ 04/01/2022

Knowledge distillation with error-correcting transfer learning for wind power prediction

Wind power prediction, especially for turbines, is vital for the operati...

Hao Chen, et al. ∙

research

∙ 04/01/2022

Cluster-based ensemble learning for wind power modeling with meteorological wind data

Optimal implementation and monitoring of wind energy generation hinge on...

Hao Chen, et al. ∙

research

∙ 04/01/2022

Unitail: Detecting, Reading, and Matching in Retail Scene

To make full use of computer vision technology in stores, it is required...

Fangyi Chen, et al. ∙

research

∙ 03/31/2022

Stochastic Backpropagation: A Memory Efficient Strategy for Training Video Models

We propose a memory efficient method, named Stochastic Backpropagation (...

Feng Cheng, et al. ∙

research

∙ 03/30/2022

Neighbor Enhanced Graph Convolutional Networks for Node Classification and Recommendation

The recently proposed Graph Convolutional Networks (GCNs) have achieved ...

Hao Chen, et al. ∙

research

∙ 03/28/2022

MixNN: A design for protecting deep learning models

In this paper, we propose a novel design, called MixNN, for protecting d...

Chao Liu, et al. ∙

research

∙ 03/28/2022

Uni6D: A Unified CNN Framework without Projection Breakdown for 6D Pose Estimation

As RGB-D sensors become more affordable, using RGB-D images to obtain hi...

Xiaoke Jiang, et al. ∙

research

∙ 03/21/2022

An Intermediate-level Attack Framework on The Basis of Linear Regression

This paper substantially extends our work published at ECCV, in which an...

Yiwen Guo, et al. ∙

research

∙ 03/20/2022

Federated Spatial Reuse Optimization in Next-Generation Decentralized IEEE 802.11 WLANs

As wireless standards evolve, more complex functionalities are introduce...

Francesc Wilhelmi, et al. ∙

research

∙ 03/18/2022

Pseudo Bias-Balanced Learning for Debiased Chest X-ray Classification

Deep learning models were frequently reported to learn from shortcuts li...

Luyang Luo, et al. ∙

research

∙ 03/12/2022

Unsupervised Lifelong Person Re-identification via Contrastive Rehearsal

Existing unsupervised person re-identification (ReID) methods focus on a...

Hao Chen, et al. ∙

research

∙ 02/16/2022

Label Propagation for Annotation-Efficient Nuclei Segmentation from Pathology Images

Nuclei segmentation is a crucial task for whole slide image analysis in ...

Yi Lin, et al. ∙

research

∙ 02/10/2022

Deep Learning for Computational Cytology: A Survey

Computational cytology is a critical, rapid-developing, yet challenging ...

Hao Jiang, et al. ∙

research

∙ 02/07/2022

Asynchronous Parallel Incremental Block-Coordinate Descent for Decentralized Machine Learning

Machine learning (ML) is a key technique for big-data-driven modelling a...

Hao Chen, et al. ∙

research

∙ 02/03/2022

Boosting Monocular Depth Estimation with Sparse Guided Points

Existing monocular depth estimation shows excellent robustness in the wi...

Guangkai Xu, et al. ∙

research

∙ 01/27/2022

Change Detection of Markov Kernels with Unknown Post Change Kernel using Maximum Mean Discrepancy

In this paper, we develop a new change detection algorithm for detecting...

Hao Chen, et al. ∙

research

∙ 01/19/2022

FRA-LSTM: A Vessel Trajectory Prediction Method Based on Fusion of the Forward and Reverse Sub-Network

In order to improve the vessel's capacity and ensure maritime traffic sa...

Jin Chen, et al. ∙

research

∙ 01/15/2022

Semantic decoupled representation learning for remote sensing image change detection

Contemporary transfer learning-based methods to alleviate the data insuf...

Hao Chen, et al. ∙

research

∙ 12/24/2021

RISE: Rank in Similarity Graph Edge-Count Two-Sample Test

Two-sample hypothesis testing for high-dimensional data is ubiquitous no...

Doudou Zhou, et al. ∙

research

∙ 11/20/2021

Satellite Based Computing Networks with Federated Learning

Driven by the ever-increasing penetration and proliferation of data-driv...

Hao Chen, et al. ∙

research

∙ 11/19/2021

Gaussian Process Inference Using Mini-batch Stochastic Gradient Descent: Convergence Guarantees and Empirical Benefits

Stochastic gradient descent (SGD) and its variants have established them...

Hao Chen, et al. ∙

research

∙ 11/04/2021

PDBL: Improving Histopathological Tissue Classification with Plug-and-Play Pyramidal Deep-Broad Learning

Histopathological tissue classification is a fundamental task in pathomi...

Jiatai Lin, et al. ∙

research

∙ 10/29/2021

Visual Spatio-Temporal Relation-Enhanced Network for Cross-Modal Text-Video Retrieval

The task of cross-modal retrieval between texts and videos aims to under...

Ning Han, et al. ∙

research

∙ 10/26/2021

NeRV: Neural Representations for Videos

We propose a novel neural representation for videos (NeRV) which encodes...

Hao Chen, et al. ∙

research

∙ 10/26/2021

HR-RCNN: Hierarchical Relational Reasoning for Object Detection

Incorporating relational reasoning in neural networks for object recogni...

Hao Chen, et al. ∙

research

∙ 10/22/2021

Federated Learning over Wireless IoT Networks with Optimized Communication and Resources

To leverage massive distributed data and computation resources, machine ...

Hao Chen, et al. ∙

research

∙ 10/11/2021

VTBR: Semantic-based Pretraining for Person Re-Identification

Pretraining is a dominant paradigm in computer vision. Generally, superv...

Suncheng Xiang, et al. ∙

research

∙ 10/07/2021

A Fast and Effective Large-Scale Two-Sample Test Based on Kernels

Kernel two-sample tests have been widely used and the development of eff...

Hoseung Song, et al. ∙

Hao Chen

Featured Co-authors