Search Results for author: Yin Yang

Found 38 papers, 14 papers with code

A Multi-scale Generalized Shrinkage Threshold Network for Image Blind Deblurring in Remote Sensing

no code implementations14 Sep 2023 Yujie Feng, Yin Yang, Xiaohong Fan, Zhengpeng Zhang, Jianping Zhang

Then, we proposed a deep proximal mapping module in the image domain, which combines a generalized shrinkage threshold operator and a multi-scale prior feature extraction block.

Deblurring Image Deblurring +1

PRISTA-Net: Deep Iterative Shrinkage Thresholding Network for Coded Diffraction Patterns Phase Retrieval

1 code implementation8 Sep 2023 Aoxu Liu, Xiaohong Fan, Yin Yang, Jianping Zhang

This network utilizes a learnable nonlinear transformation to address the proximal-point mapping sub-problem associated with the sparse priors, and an attention mechanism to focus on phase information containing image edges, textures, and structures.


Nest-DGIL: Nesterov-optimized Deep Geometric Incremental Learning for CS Image Reconstruction

1 code implementation6 Aug 2023 Xiaohong Fan, Yin Yang, Ke Chen, Yujie Feng, Jianping Zhang

In the image restoration step, a cascade geometric incremental learning module is designed to compensate for the missing texture information from different geometric spectral decomposition domains.

Image Reconstruction Image Restoration +1

Adaptive Local Basis Functions for Shape Completion

1 code implementation17 Jul 2023 Hui Ying, Tianjia Shao, He Wang, Yin Yang, Kun Zhou

Quantitative and qualitative experiments demonstrate that our method outperforms the state-of-the-art methods in shape completion, detail preservation, generalization to unseen geometries, and computational cost.

Model-Assisted Probabilistic Safe Adaptive Control With Meta-Bayesian Learning

no code implementations3 Jul 2023 Shengbo Wang, Ke Li, Yin Yang, Yuting Cao, TingWen Huang, Shiping Wen

Specifically, with the help of CBF method, we learn the inherent and external uncertainties by a unified adaptive Bayesian linear regression (ABLR) model, which consists of a forward neural network (NN) and a Bayesian output layer.

Meta-Learning Safe Exploration

Contrastive Representation Disentanglement for Clustering

no code implementations8 Jun 2023 Fei Ding, Dan Zhang, Yin Yang, Venkat Krovi, Feng Luo

We conduct a theoretical analysis of the proposed loss and highlight how it assigns different weights to negative samples during the process of disentangling the feature representation.

Clustering Contrastive Learning +2

Skellam Mixture Mechanism: a Novel Approach to Federated Learning with Differential Privacy

no code implementations8 Dec 2022 Ergute Bao, Yizheng Zhu, Xiaokui Xiao, Yin Yang, Beng Chin Ooi, Benjamin Hong Meng Tan, Khin Mi Mi Aung

Deep neural networks have strong capabilities of memorizing the underlying training data, which can be a serious privacy concern.

Federated Learning

TPA-Net: Generate A Dataset for Text to Physics-based Animation

no code implementations25 Nov 2022 Yuxing Qiu, Feng Gao, Minchen Li, Govind Thattai, Yin Yang, Chenfanfu Jiang

Recent breakthroughs in Vision-Language (V&L) joint research have achieved remarkable results in various text-driven tasks.

Physical Simulations

DPIS: An Enhanced Mechanism for Differentially Private SGD with Importance Sampling

no code implementations18 Oct 2022 Jianxin Wei, Ergute Bao, Xiaokui Xiao, Yin Yang

A classic mechanism for this purpose is DP-SGD, which is a differentially private version of the stochastic gradient descent (SGD) optimizer commonly used for DNN training.

Feature Engineering Privacy Preserving

An Interpretable MRI Reconstruction Network with Two-grid-cycle Correction and Geometric Prior Distillation

1 code implementation14 May 2022 Xiaohong Fan, Yin Yang, Ke Chen, Jianping Zhang, Ke Dong

Although existing deep learning compressed-sensing-based Magnetic Resonance Imaging (CS-MRI) methods have achieved considerably impressive performance, explainability and generalizability continue to be challenging for such methods since the transition from mathematical analysis to network design not always natural enough, often most of them are not flexible enough to handle multi-sampling-ratio reconstruction assignments.

MRI Reconstruction

Suboptimal Safety-Critical Control for Continuous Systems Using Prediction-Correction Online Optimization

no code implementations29 Mar 2022 Shengbo Wang, Shiping Wen, Yin Yang, Yuting Cao, Kaibo Shi, TingWen Huang

This paper investigates the control barrier function (CBF) based safety-critical control for continuous nonlinear control affine systems using the more efficient online algorithms through time-varying optimization.

Pose Guided Image Generation from Misaligned Sources via Residual Flow Based Correction

no code implementations2 Feb 2022 Jiawei Lu, He Wang, Tianjia Shao, Yin Yang, Kun Zhou

However, as source images are often misaligned due to the large disparities among the camera settings, strong assumptions have been made in the past with respect to the camera(s) or/and the object in interest, limiting the application of such techniques.

Pose-Guided Image Generation

AutoGMap: Learning to Map Large-scale Sparse Graphs on Memristive Crossbars

1 code implementation15 Nov 2021 Bo Lyu, Shengbo Wang, Shiping Wen, Kaibo Shi, Yin Yang, Lingfang Zeng, TingWen Huang

But the exploration of large-scale sparse graph computing on processing-in-memory (PIM) platforms (typically with memristive crossbars) is still in its infancy.

Decision Making Knowledge Graphs +1

YOLO-ReT: Towards High Accuracy Real-time Object Detection on Edge GPUs

1 code implementation26 Oct 2021 Prakhar Ganesh, Yao Chen, Yin Yang, Deming Chen, Marianne Winslett

Performance of object detection models has been growing rapidly on two major fronts, model accuracy and efficiency.

object-detection Real-Time Object Detection +1

Distributed Skellam Mechanism: a Novel Approach to Federated Learning with Differential Privacy

no code implementations29 Sep 2021 Ergute Bao, Yizheng Zhu, Xiaokui Xiao, Yin Yang, Beng Chin Ooi, Benjamin Hong Meng Tan, Khin Mi Mi Aung

We point out a major challenge in this problem setting: that common mechanisms for enforcing DP in deep learning, which require injecting \textit{real-valued noise}, are fundamentally incompatible with MPC, which exchanges \textit{finite-field integers} among the participants.

Federated Learning Memorization

Unsupervised Image Generation with Infinite Generative Adversarial Networks

1 code implementation ICCV 2021 Hui Ying, He Wang, Tianjia Shao, Yin Yang, Kun Zhou

Image generation has been heavily investigated in computer vision, where one core research challenge is to generate images from arbitrarily complex distributions with little supervision.

Image Generation

Deep Geometric Distillation Network for Compressive Sensing MRI

1 code implementation11 Jul 2021 Xiaohong Fan, Yin Yang, Jianping Zhang

Compressed sensing (CS) is an efficient method to reconstruct MR image from small sampled data in $k$-space and accelerate the acquisition of MRI.

Compressive Sensing MRI Reconstruction

Training Massive Deep Neural Networks in a Smart Contract: A New Hope

no code implementations28 Jun 2021 Yin Yang

However, training / running large-scale DNNs as part of a smart contract is infeasible on today's blockchain platforms, due to two fundamental design issues of these platforms.

In-game Residential Home Planning via Visual Context-aware Global Relation Learning

no code implementations8 Feb 2021 Lijuan Liu, Yin Yang, Yi Yuan, Tianjia Shao, He Wang, Kun Zhou

In this paper, we propose an effective global relation learning algorithm to recommend an appropriate location of a building unit for in-game customization of residential home complex.

Graph Generation

Effective and Scalable Clustering on Massive Attributed Graphs

no code implementations7 Feb 2021 Renchi Yang, Jieming Shi, Yin Yang, Keke Huang, Shiqi Zhang, Xiaokui Xiao

Given a graph G where each node is associated with a set of attributes, and a parameter k specifying the number of output clusters, k-attributed graph clustering (k-AGC) groups nodes in G into k disjoint clusters, such that nodes within the same cluster share similar topological and attribute characteristics, while those in different clusters are dissimilar.

Clustering Graph Clustering

Location-aware Single Image Reflection Removal

1 code implementation ICCV 2021 Zheng Dong, Ke Xu, Yin Yang, Hujun Bao, Weiwei Xu, Rynson W. H. Lau

It is beneficial to strong reflection detection and substantially improves the quality of reflection removal results.

Reflection Removal

Multi-level Knowledge Distillation via Knowledge Alignment and Correlation

1 code implementation1 Dec 2020 Fei Ding, Yin Yang, Hongxin Hu, Venkat Krovi, Feng Luo

While it is important to transfer the full knowledge from teacher to student, we introduce the Multi-level Knowledge Distillation (MLKD) by effectively considering both knowledge alignment and correlation.

Contrastive Learning Knowledge Distillation +2

Second-order Neural Network Training Using Complex-step Directional Derivative

no code implementations15 Sep 2020 Siyuan Shen, Tianjia Shao, Kun Zhou, Chenfanfu Jiang, Feng Luo, Yin Yang

We believe our method will inspire a wide-range of new algorithms for deep learning and numerical optimization.

Second-order methods

DCAF: A Dynamic Computation Allocation Framework for Online Serving System

no code implementations17 Jun 2020 Biye Jiang, Pengye Zhang, Rihan Chen, Binding Dai, Xinchen Luo, Yin Yang, Guan Wang, Guorui Zhou, Xiaoqiang Zhu, Kun Gai

These stages usually allocate resource manually with specific computing power budgets, which requires the serving configuration to adapt accordingly.

Recommendation Systems Retrieval

Compressing Large-Scale Transformer-Based Models: A Case Study on BERT

no code implementations27 Feb 2020 Prakhar Ganesh, Yao Chen, Xin Lou, Mohammad Ali Khan, Yin Yang, Hassan Sajjad, Preslav Nakov, Deming Chen, Marianne Winslett

Pre-trained Transformer-based models have achieved state-of-the-art performance for various Natural Language Processing (NLP) tasks.

Model Compression

Realtime Index-Free Single Source SimRank Processing on Web-Scale Graphs

no code implementations19 Feb 2020 Jieming Shi, Tianyuan Jin, Renchi Yang, Xiaokui Xiao, Yin Yang

Given a graph G and a node u in G, a single source SimRank query evaluates the similarity between u and every node v in G. Existing approaches to single source SimRank computation incur either long query response time, or expensive pre-computation, which needs to be performed again whenever the graph G changes.

Double cycle-consistent generative adversarial network for unsupervised conditional generation

no code implementations13 Nov 2019 Fei Ding, Feng Luo, Yin Yang

We enforce the encoder and the generator of GAN to form an encoder-generator pair in addition to the generator-encoder pair, which enables us to avoid the low-diversity generation and the triviality of latent features.

Clustering Disentanglement

Fine-Grained Propaganda Detection with Fine-Tuned BERT

no code implementations WS 2019 Shehel Yoosuf, Yin Yang

This paper presents the winning solution of the Fragment Level Classification (FLC) task in the Fine Grained Propaganda Detection competition at the NLP4IF{'}19 workshop.

Classification General Classification +2

DBRec: Dual-Bridging Recommendation via Discovering Latent Groups

no code implementations27 Sep 2019 Jingwei Ma, Jiahui Wen, Mingyang Zhong, Liangchen Liu, Chaojie Li, Weitong Chen, Yin Yang, Honghui Tu, Xue Li

In addition, we propose to jointly learn user-user group (item-item group) hierarchies, so that we can effectively discover latent groups and learn compact user/item representations.

Collaborative Filtering Recommendation Systems

Collecting and Analyzing Multidimensional Data with Local Differential Privacy

no code implementations28 Jun 2019 Ning Wang, Xiaokui Xiao, Yin Yang, Jun Zhao, Siu Cheung Hui, Hyejin Shin, Junbum Shin, Ge Yu

Motivated by this, we first propose novel LDP mechanisms for collecting a numeric attribute, whose accuracy is at least no worse (and usually better) than existing solutions in terms of worst-case noise variance.

Homogeneous Network Embedding for Massive Graphs via Reweighted Personalized PageRank

no code implementations17 Jun 2019 Renchi Yang, Jieming Shi, Xiaokui Xiao, Yin Yang, Sourav S. Bhowmick

Given an input graph G and a node v in G, homogeneous network embedding (HNE) maps the graph structure in the vicinity of v to a compact, fixed-dimensional feature vector.

Graph Reconstruction Link Prediction +2

DeepWarp: DNN-based Nonlinear Deformation

1 code implementation24 Mar 2018 Ran Luo, Tianjia Shao, Huamin Wang, Weiwei Xu, Kun Zhou, Yin Yang

DeepWarp is an efficient and highly re-usable deep neural network (DNN) based nonlinear deformable simulation framework.


Collecting and Analyzing Data from Smart Device Users with Local Differential Privacy

no code implementations16 Jun 2016 Thông T. Nguyên, Xiaokui Xiao, Yin Yang, Siu Cheung Hui, Hyejin Shin, Junbum Shin

Organizations with a large user base, such as Samsung and Google, can potentially benefit from collecting and mining users' data.


Development of a 3D tongue motion visualization platform based on ultrasound image sequences

no code implementations19 May 2016 Kele Xu, Yin Yang, Aurore Jaumard-Hakoun, Clemence Leboullenger, Gerard Dreyfus, Pierre Roussel, Maureen Stone, Bruce Denby

This article describes the development of a platform designed to visualize the 3D motion of the tongue using ultrasound image sequences.

Contour-based 3d tongue motion visualization using ultrasound image sequences

no code implementations19 May 2016 Kele Xu, Yin Yang, Clémence Leboullenger, Pierre Roussel, Bruce Denby

This article describes a contour-based 3D tongue deformation visualization framework using B-mode ultrasound image sequences.

speech-recognition Speech Recognition

Convex Optimization for Linear Query Processing under Approximate Differential Privacy

1 code implementation13 Feb 2016 Ganzhao Yuan, Yin Yang, Zhenjie Zhang, Zhifeng Hao

This paper points out that under ($\epsilon$, $\delta$)-differential privacy, the optimal solution of the above constrained optimization problem in search of a suitable strategy can be found, rather surprisingly, by solving a simple and elegant convex optimization program.

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