Search Results for author: Peng Hu

Found 30 papers, 13 papers with code

Semantic Invariant Multi-view Clustering with Fully Incomplete Information

no code implementations22 May 2023 Pengxin Zeng, Mouxing Yang, Yiding Lu, Changqing Zhang, Peng Hu, Xi Peng

To address this problem, we present a novel framework called SeMantic Invariance LEarning (SMILE) for multi-view clustering with incomplete information that does not require any paired samples.


HAPS-UAV-Enabled Heterogeneous Networks: A Deep Reinforcement Learning Approach

no code implementations22 Mar 2023 Atefeh H. Arani, Peng Hu, Yeying Zhu

The integrated use of non-terrestrial network (NTN) entities such as the high-altitude platform station (HAPS) and low-altitude platform station (LAPS) has become essential elements in the space-air-ground integrated networks (SAGINs).

Fairness reinforcement-learning

Correspondence-Free Domain Alignment for Unsupervised Cross-Domain Image Retrieval

1 code implementation13 Feb 2023 Xu Wang, Dezhong Peng, Ming Yan, Peng Hu

Thanks to the ISS and CCA, our method could encode the discrimination into the domain-invariant embedding space for unsupervised cross-domain image retrieval.

Image Retrieval Retrieval

Satellite Anomaly Detection Using Variance Based Genetic Ensemble of Neural Networks

no code implementations10 Feb 2023 Mohammad Amin Maleki Sadr, Yeying Zhu, Peng Hu

Then these uncertainty levels and each predictive model suggested by GA are used to generate a new model, which is then used for forecasting the TS and AD.

Anomaly Detection

Incomplete Multi-view Clustering via Prototype-based Imputation

no code implementations26 Jan 2023 Haobin Li, Yunfan Li, Mouxing Yang, Peng Hu, Dezhong Peng, Xi Peng

Thanks to our dual-stream model, both cluster- and view-specific information could be captured, and thus the instance commonality and view versatility could be preserved to facilitate IMvC.

Contrastive Learning Imputation +1

Rethinking Image Super Resolution From Long-Tailed Distribution Learning Perspective

no code implementations CVPR 2023 Yuanbiao Gou, Peng Hu, Jiancheng Lv, Hongyuan Zhu, Xi Peng

Existing studies have empirically observed that the resolution of the low-frequency region is easier to enhance than that of the high-frequency one.

Image Super-Resolution

Relationship Quantification of Image Degradations

no code implementations8 Dec 2022 Wenxin Wang, Boyun Li, Yuanbiao Gou, Peng Hu, Xi Peng

In this paper, we study two challenging but less-touched problems in image restoration, namely, i) how to quantify the relationship between different image degradations and ii) how to improve the performance on a specific degradation using the quantified relationship.

Denoising Image Dehazing +2

Graph Matching with Bi-level Noisy Correspondence

no code implementations8 Dec 2022 Yijie Lin, Mouxing Yang, Jun Yu, Peng Hu, Changqing Zhang, Xi Peng

In this paper, we study a novel and widely existing problem in graph matching (GM), namely, Bi-level Noisy Correspondence (BNC), which refers to node-level noisy correspondence (NNC) and edge-level noisy correspondence (ENC).

Contrastive Learning Graph Matching

Enabling Resilient and Real-Time Network Operations in Space: A Novel Multi-Layer Satellite Networking Scheme

no code implementations7 Dec 2022 Peng Hu

However, the traditional access-based approach to satellite operations cannot meet the pressing requirements of real-time, reliable, and resilient operations for LEO satellites.

UAV-Assisted Space-Air-Ground Integrated Networks: A Technical Review of Recent Learning Algorithms

no code implementations27 Nov 2022 Atefeh H. Arani, Peng Hu, Yeying Zhu

However, due to UAVs' high dynamics and complexity, the real-world deployment of a SAGIN becomes a major barrier for realizing such SAGINs.

Fairness Q-Learning

An Anomaly Detection Method for Satellites Using Monte Carlo Dropout

no code implementations27 Nov 2022 Mohammad Amin Maleki Sadr, Yeying Zhu, Peng Hu

In this paper, we present a tractable approximation for BNN based on the Monte Carlo (MC) dropout method for capturing the uncertainty in the satellite telemetry time series, without sacrificing accuracy.

Anomaly Detection Time Series Forecasting

Deep Fair Clustering via Maximizing and Minimizing Mutual Information: Theory, Algorithm and Metric

no code implementations CVPR 2023 Pengxin Zeng, Yunfan Li, Peng Hu, Dezhong Peng, Jiancheng Lv, Xi Peng

Fair clustering aims to divide data into distinct clusters while preventing sensitive attributes (\textit{e. g.}, gender, race, RNA sequencing technique) from dominating the clustering.


OPQ: Compressing Deep Neural Networks with One-shot Pruning-Quantization

1 code implementation23 May 2022 Peng Hu, Xi Peng, Hongyuan Zhu, Mohamed M. Sabry Aly, Jie Lin

Numerous network compression methods such as pruning and quantization are proposed to reduce the model size significantly, of which the key is to find suitable compression allocation (e. g., pruning sparsity and quantization codebook) of each layer.


Multi-Scale Adaptive Network for Single Image Denoising

1 code implementation8 Mar 2022 Yuanbiao Gou, Peng Hu, Jiancheng Lv, Joey Tianyi Zhou, Xi Peng

AFuB devotes to adaptively sampling and transferring the features from one scale to another scale, which fuses the multi-scale features with varying characteristics from coarse to fine.

Image Denoising

Closing the Management Gap for Satellite-Integrated Community Networks: A Hierarchical Approach to Self-Maintenance

no code implementations15 Feb 2022 Peng Hu

Community networks (CNs) have become an important paradigm for providing essential Internet connectivity in unserved and underserved areas across the world.


All-in-One Image Restoration for Unknown Corruption

1 code implementation CVPR 2022 Boyun Li, Xiao Liu, Peng Hu, Zhongqin Wu, Jiancheng Lv, Xi Peng

In this paper, we study a challenging problem in image restoration, namely, how to develop an all-in-one method that could recover images from a variety of unknown corruption types and levels.

Image Restoration

Unsupervised Neural Rendering for Image Hazing

no code implementations14 Jul 2021 Boyun Li, Yijie Lin, Xiao Liu, Peng Hu, Jiancheng Lv, Xi Peng

To generate plausible haze, we study two less-touched but challenging problems in hazy image rendering, namely, i) how to estimate the transmission map from a single image without auxiliary information, and ii) how to adaptively learn the airlight from exemplars, i. e., unpaired real hazy images.

Image Dehazing Neural Rendering

PSRR-MaxpoolNMS: Pyramid Shifted MaxpoolNMS with Relationship Recovery

no code implementations CVPR 2021 Tianyi Zhang, Jie Lin, Peng Hu, Bin Zhao, Mohamed M. Sabry Aly

Unlike convolutions which are inherently parallel, the de-facto standard for NMS, namely GreedyNMS, cannot be easily parallelized and thus could be the performance bottleneck in convolutional object detection pipelines.

object-detection Object Detection

BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction

2 code implementations ICLR 2021 Yuhang Li, Ruihao Gong, Xu Tan, Yang Yang, Peng Hu, Qi Zhang, Fengwei Yu, Wei Wang, Shi Gu

To further employ the power of quantization, the mixed precision technique is incorporated in our framework by approximating the inter-layer and intra-layer sensitivity.

Image Classification object-detection +2

Partially View-aligned Clustering

no code implementations NeurIPS 2020 Zhenyu Huang, Peng Hu, Joey Tianyi Zhou, Jiancheng Lv, Xi Peng

To solve this practical and challenging problem, we propose a novel multi-view clustering method termed partially view-aligned clustering (PVC).

Contrastive Clustering

1 code implementation21 Sep 2020 Yunfan Li, Peng Hu, Zitao Liu, Dezhong Peng, Joey Tianyi Zhou, Xi Peng

In this paper, we propose a one-stage online clustering method called Contrastive Clustering (CC) which explicitly performs the instance- and cluster-level contrastive learning.

Ranked #3 on Image Clustering on STL-10 (using extra training data)

Contrastive Learning Online Clustering

IoT-based Contact Tracing Systems for Infectious Diseases: Architecture and Analysis

no code implementations3 Sep 2020 Peng Hu

The recent COVID-19 pandemic has become a major threat to human health and well-being.

Computers and Society

Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks

2 code implementations ICCV 2019 Ruihao Gong, Xianglong Liu, Shenghu Jiang, Tianxiang Li, Peng Hu, Jiazhen Lin, Fengwei Yu, Junjie Yan

Hardware-friendly network quantization (e. g., binary/uniform quantization) can efficiently accelerate the inference and meanwhile reduce memory consumption of the deep neural networks, which is crucial for model deployment on resource-limited devices like mobile phones.


ZJUNlict Extended Team Description Paper for RoboCup 2019

1 code implementation22 May 2019 Zheyuan Huang, Lingyun Chen, Jiacheng Li, Yunkai Wang, Zexi Chen, Licheng Wen, Jianyang Gu, Peng Hu, Rong Xiong

For the Small Size League of RoboCup 2018, Team ZJUNLict has won the champion and therefore, this paper thoroughly described the devotion which ZJUNLict has devoted and the effort that ZJUNLict has contributed.

Robotics 68T40

Recommendation System based on Semantic Scholar Mining and Topic modeling: A behavioral analysis of researchers from six conferences

no code implementations20 Dec 2018 Hamed Jelodar, Yongli Wang, Mahdi Rabbani, Ru-xin Zhao, SeyedValyAllah Ayobi, Peng Hu, Isma Masood

According to importance of the subject, in this paper we discover the trends of the topics and find relationship between LDA topics and Scholar-Context-documents.

Recommendation Systems

Motion Compensated Dynamic MRI Reconstruction with Local Affine Optical Flow Estimation

1 code implementation22 Jul 2017 Ningning Zhao, Daniel O'Connor, Adrian Basarab, Dan Ruan, Peng Hu, Ke Sheng

This paper proposes a novel framework to reconstruct the dynamic magnetic resonance images (DMRI) with motion compensation (MC).

Motion Compensation Motion Estimation +2

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