Search Results for author: Jie Zhang

Found 105 papers, 32 papers with code

SenseMag: Enabling Low-Cost Traffic Monitoring using Non-invasive Magnetic Sensing

no code implementations24 Oct 2021 Kafeng Wang, Haoyi Xiong, Jie Zhang, Hongyang Chen, Dejing Dou, Cheng-Zhong Xu

Extensive experiment based on real-word field deployment (on the highways in Shenzhen, China) shows that SenseMag significantly outperforms the existing methods in both classification accuracy and the granularity of vehicle types (i. e., 7 types by SenseMag versus 4 types by the existing work in comparisons).

Cross-Vendor CT Image Data Harmonization Using CVH-CT

no code implementations19 Oct 2021 Md Selim, Jie Zhang, Baowei Fei, Guo-Qiang Zhang, Gary Yeeming Ge, Jin Chen

We propose a novel deep learning approach called CVH-CT for harmonizing CT images captured using scanners from different vendors.

Computed Tomography (CT)

NeuroLKH: Combining Deep Learning Model with Lin-Kernighan-Helsgaun Heuristic for Solving the Traveling Salesman Problem

1 code implementation15 Oct 2021 Liang Xin, Wen Song, Zhiguang Cao, Jie Zhang

We present NeuroLKH, a novel algorithm that combines deep learning with the strong traditional heuristic Lin-Kernighan-Helsgaun (LKH) for solving Traveling Salesman Problem.

Traveling Salesman Problem

sMGC: A Complex-Valued Graph Convolutional Network via Magnetic Laplacian for Directed Graphs

1 code implementation14 Oct 2021 Jie Zhang, Bo Hui, Po-Wei Harn, Min-Te Sun, Wei-Shinn Ku

Recent advancements in Graph Neural Networks have led to state-of-the-art performance on representation learning of graphs for node classification.

Node Classification Representation Learning

M6-10T: A Sharing-Delinking Paradigm for Efficient Multi-Trillion Parameter Pretraining

no code implementations8 Oct 2021 Junyang Lin, An Yang, Jinze Bai, Chang Zhou, Le Jiang, Xianyan Jia, Ang Wang, Jie Zhang, Yong Li, Wei Lin, Jingren Zhou, Hongxia Yang

Recent expeditious developments in deep learning algorithms, distributed training, and even hardware design for large models have enabled training extreme-scale models, say GPT-3 and Switch Transformer possessing hundreds of billions or even trillions of parameters.

Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem

1 code implementation6 Oct 2021 Jingwen Li, Yining Ma, Ruize Gao, Zhiguang Cao, Andrew Lim, Wen Song, Jie Zhang

To solve those problems, we propose a DRL method based on the attention mechanism with a vehicle selection decoder accounting for the heterogeneous fleet constraint and a node selection decoder accounting for the route construction, which learns to construct a solution by automatically selecting both a vehicle and a node for this vehicle at each step.

Heterogeneous Attentions for Solving Pickup and Delivery Problem via Deep Reinforcement Learning

no code implementations6 Oct 2021 Jingwen Li, Liang Xin, Zhiguang Cao, Andrew Lim, Wen Song, Jie Zhang

In particular, the heterogeneous attention mechanism specifically prescribes attentions for each role of the nodes while taking into account the precedence constraint, i. e., the pickup node must precede the pairing delivery node.

ACDC: Online Unsupervised Cross-Domain Adaptation

1 code implementation4 Oct 2021 Marcus de Carvalho, Mahardhika Pratama, Jie Zhang, Edward Yapp

We consider the problem of online unsupervised cross-domain adaptation, where two independent but related data streams with different feature spaces -- a fully labeled source stream and an unlabeled target stream -- are learned together.

Denoising Unsupervised Domain Adaptation

Pairwise Emotional Relationship Recognition in Drama Videos: Dataset and Benchmark

1 code implementation23 Sep 2021 Xun Gao, Yin Zhao, Jie Zhang, Longjun Cai

We expect the ERATO as well as our proposed SMTA to open up a new way for PERR task in video understanding and further improve the research of multi-modal fusion methodology.

Video Understanding

Exploring Structure Consistency for Deep Model Watermarking

no code implementations5 Aug 2021 Jie Zhang, Dongdong Chen, Jing Liao, Han Fang, Zehua Ma, Weiming Zhang, Gang Hua, Nenghai Yu

However, little attention has been devoted to the protection of DNNs in image processing tasks.

Data Augmentation

Poison Ink: Robust and Invisible Backdoor Attack

no code implementations5 Aug 2021 Jie Zhang, Dongdong Chen, Jing Liao, Qidong Huang, Gang Hua, Weiming Zhang, Nenghai Yu

As the image structure can keep its semantic meaning during the data transformation, such trigger pattern is inherently robust to data transformations.

Adversarial Attack Data Poisoning

Locality-aware Channel-wise Dropout for Occluded Face Recognition

no code implementations20 Jul 2021 Mingjie He, Jie Zhang, Shiguang Shan, Xiao Liu, Zhongqin Wu, Xilin Chen

Furthermore, by randomly dropping out several feature channels, our method can well simulate the occlusion of larger area.

Face Recognition

Supply Chain Digital Twin Framework Design: An Approach of Supply Chain Operations Reference Model and System of Systems

no code implementations19 Jul 2021 Jie Zhang, Alexandra Brintrup, Anisoara Calinescu, Edward Kosasih, Angira Sharma

This paper explains what is 'twined' in supply chain digital twin and how to 'twin' them to handle the spatio-temporal dynamic issue.

Impact of Rotary-Wing UAV Wobbling on Millimeter-wave Air-to-Ground Wireless Channel

no code implementations14 Jul 2021 Songjiang Yang, Zitian Zhang, Jiliang Zhang, Jie Zhang

Our contributions of this paper lie in: i) modeling the wobbling process of a hovering RW UAV; ii) developing an analytical model to derive the channel temporal autocorrelation function (ACF) for the millimeter-wave RW UAV A2G link in a closed-form expression; and iii) investigating how RW UAV wobbling impacts the Doppler effect on the millimeter-wave RW UAV A2G link.

SelfCF: A Simple Framework for Self-supervised Collaborative Filtering

1 code implementation7 Jul 2021 Xin Zhou, Aixin Sun, Yong liu, Jie Zhang, Chunyan Miao

Further, negative items should be carefully sampled under the defined distribution, in order to avoid selecting an observed positive item in the training dataset.

Collaborative Filtering Self-Supervised Learning

CT Image Harmonization for Enhancing Radiomics Studies

no code implementations3 Jul 2021 Md Selim, Jie Zhang, Baowei Fei, Guo-Qiang Zhang, Jin Chen

While remarkable advances have been made in Computed Tomography (CT), capturing CT images with non-standardized protocols causes low reproducibility regarding radiomic features, forming a barrier on CT image analysis in a large scale.

Computed Tomography (CT)

From Personalized Medicine to Population Health: A Survey of mHealth Sensing Techniques

no code implementations2 Jul 2021 Zhiyuan Wang, Haoyi Xiong, Jie Zhang, Sijia Yang, Mehdi Boukhechba, Laura E. Barnes, Daqing Zhang, Dejing Dou

Mobile Sensing Apps have been widely used as a practical approach to collect behavioral and health-related information from individuals and provide timely intervention to promote health and well-beings, such as mental health and chronic cares.

M6-T: Exploring Sparse Expert Models and Beyond

no code implementations31 May 2021 An Yang, Junyang Lin, Rui Men, Chang Zhou, Le Jiang, Xianyan Jia, Ang Wang, Jie Zhang, Jiamang Wang, Yong Li, Di Zhang, Wei Lin, Lin Qu, Jingren Zhou, Hongxia Yang

Mixture-of-Experts (MoE) models can achieve promising results with outrageous large amount of parameters but constant computation cost, and thus it has become a trend in model scaling.

HINet: Half Instance Normalization Network for Image Restoration

1 code implementation13 May 2021 Liangyu Chen, Xin Lu, Jie Zhang, Xiaojie Chu, Chengpeng Chen

Specifically, we present a novel block: Half Instance Normalization Block (HIN Block), to boost the performance of image restoration networks.

Deblurring Image Denoising +2

Reversible Watermarking in Deep Convolutional Neural Networks for Integrity Authentication

no code implementations9 Apr 2021 Xiquan Guan, Huamin Feng, Weiming Zhang, Hang Zhou, Jie Zhang, Nenghai Yu

Specifically, we present the reversible watermarking problem of deep convolutional neural networks and utilize the pruning theory of model compression technology to construct a host sequence used for embedding watermarking information by histogram shift.

Model Compression

Deep Model Intellectual Property Protection via Deep Watermarking

1 code implementation8 Mar 2021 Jie Zhang, Dongdong Chen, Jing Liao, Weiming Zhang, Huamin Feng, Gang Hua, Nenghai Yu

By jointly training the target model and watermark embedding, the extra barrier can even be absorbed into the target model.

M6: A Chinese Multimodal Pretrainer

no code implementations1 Mar 2021 Junyang Lin, Rui Men, An Yang, Chang Zhou, Ming Ding, Yichang Zhang, Peng Wang, Ang Wang, Le Jiang, Xianyan Jia, Jie Zhang, Jianwei Zhang, Xu Zou, Zhikang Li, Xiaodong Deng, Jie Liu, Jinbao Xue, Huiling Zhou, Jianxin Ma, Jin Yu, Yong Li, Wei Lin, Jingren Zhou, Jie Tang, Hongxia Yang

In this work, we construct the largest dataset for multimodal pretraining in Chinese, which consists of over 1. 9TB images and 292GB texts that cover a wide range of domains.

Image Generation

Dynamic Virtual Graph Significance Networks for Predicting Influenza

1 code implementation16 Feb 2021 Jie Zhang, Pengfei Zhou, Hongyan Wu

In this study, we develop a novel method, Dynamic Virtual Graph Significance Networks (DVGSN), which can supervisedly and dynamically learn from similar "infection situations" in historical timepoints.

Representation Learning Time Series +1

Meta-Path-Free Representation Learning on Heterogeneous Networks

no code implementations16 Feb 2021 Jie Zhang, Jinru Ding, Suyuan Liu, Hongyan Wu

To the best of our knowledge, this is the first attempt to break out of the confinement of meta-paths for representation learning on heterogeneous networks.

Knowledge Graphs Representation Learning

Spatio-Temporal Multi-step Prediction of Influenza Outbreaks

no code implementations16 Feb 2021 Jie Zhang, Kazumitsu Nawata, Hongyan Wu

We compared the MAPEs of SVM, RF, LSTM models of predicting flu data of the 1-4 weeks ahead with and without other countries' flu data.

Spin and polarization effects on the nonlinear Breit-Wheeler pair production in laser-plasma interaction

no code implementations11 Feb 2021 Huai-Hang Song, Wei-Min Wang, Yan-Fei Li, Bing-Jun Li, Yu-Tong Li, Zheng-Ming Sheng, Li-Ming Chen, Jie Zhang

The spin effect of electrons/positrons ($e^-$/$e^+$) and polarization effect of $\gamma$ photons are investigated in the interaction of two counter-propagating linearly polarized 10-PW-class laser pulses with a thin foil target.

Plasma Physics

An Improvement for Quantum Tunneling Radiation of Fermions in a Stationary Kerr-Newman Black Hole Spacetime

no code implementations9 Feb 2021 Jie Zhang, Menquan Liu, Zhie Liu, Shuzheng Yang

By introducing a specific etheric-like vector in the Dirac equation with Lorentz Invariance Violation (LIV) in the curved spacetime, an improved method for quantum tunneling radiation of fermions is proposed.

General Relativity and Quantum Cosmology High Energy Physics - Theory

BridgeDPI: A Novel Graph Neural Network for Predicting Drug-Protein Interactions

2 code implementations29 Jan 2021 Yifan Wu, Min Gao, Min Zeng, Feiyang Chen, Min Li, Jie Zhang

Therefore, we hope to develop a novel supervised learning method to learn the PPAs and DDAs effectively and thereby improve the prediction performance of the specific task of DPI.

Drug Discovery

Optical manipulation of electronic dimensionality in a quantum material

no code implementations21 Jan 2021 Shaofeng Duan, Yun Cheng, Wei Xia, Yuanyuan Yang, Fengfeng Qi, Tianwei Tang, Yanfeng Guo, Dong Qian, Dao Xiang, Jie Zhang, Wentao Zhang

Exotic phenomenon can be achieved in quantum materials by confining electronic states into two dimensions.

Strongly Correlated Electrons Materials Science Superconductivity

Multiclass Spinal Cord Tumor Segmentation on MRI with Deep Learning

no code implementations23 Dec 2020 Andreanne Lemay, Charley Gros, Zhizheng Zhuo, Jie Zhang, Yunyun Duan, Julien Cohen-Adad, Yaou Liu

To the best of our knowledge, this is the first fully automatic deep learning model for spinal cord tumor segmentation.

Tumor Segmentation

Multi-Decoder Attention Model with Embedding Glimpse for Solving Vehicle Routing Problems

1 code implementation19 Dec 2020 Liang Xin, Wen Song, Zhiguang Cao, Jie Zhang

We present a novel deep reinforcement learning method to learn construction heuristics for vehicle routing problems.

Delayed Feedback Modeling for the Entire Space Conversion Rate Prediction

no code implementations24 Nov 2020 Yanshi Wang, Jie Zhang, Qing Da, AnXiang Zeng

In this paper, we propose a novel neural network framework ESDF to tackle the above three challenges simultaneously.

Selection bias Survival Analysis

Digital Twins: State of the Art Theory and Practice, Challenges, and Open Research Questions

no code implementations2 Nov 2020 Angira Sharma, Edward Kosasih, Jie Zhang, Alexandra Brintrup, Anisoara Calinescu

This work explores the various DT features and current approaches, the shortcomings and reasons behind the delay in the implementation and adoption of digital twin.

Diversify Question Generation with Continuous Content Selectors and Question Type Modeling

no code implementations Findings of the Association for Computational Linguistics 2020 Zhen Wang, Siwei Rao, Jie Zhang, Zhen Qin, Guangjian Tian, Jun Wang

However, question generation is actually a one-to-many problem, as it is possible to raise questions with different focuses on contexts and various means of expression.

Question Generation

Passport-aware Normalization for Deep Model Protection

1 code implementation NeurIPS 2020 Jie Zhang, Dongdong Chen, Jing Liao, Weiming Zhang, Gang Hua, Nenghai Yu

Only when the model IP is suspected to be stolen by someone, the private passport-aware branch is added back for ownership verification.

Model Compression

Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning

3 code implementations NeurIPS 2020 Cong Zhang, Wen Song, Zhiguang Cao, Jie Zhang, Puay Siew Tan, Chi Xu

Priority dispatching rule (PDR) is widely used for solving real-world Job-shop scheduling problem (JSSP).

A Critical Study on Data Leakage in Recommender System Offline Evaluation

no code implementations21 Oct 2020 Yitong Ji, Aixin Sun, Jie Zhang, Chenliang Li

We show that accessing to different amount of future data may improve or deteriorate a model's recommendation accuracy.

Recommendation Systems

Low-frequency whistler waves excited by relativistic laser pulses

no code implementations15 Oct 2020 Huai-Hang Song, Wei-Min Wang, Jia-Qi Wang, Yu-Tong Li, Jie Zhang

It is shown by multi-dimensional particle-in-cell simulations that intense secondary whistler waves with special vortex-like field topology can be excited by a relativistic laser pulse in the highly magnetized, near-critical density plasma.

Plasma Physics

Cascaded Semantic and Positional Self-Attention Network for Document Classification

no code implementations Findings of the Association for Computational Linguistics 2020 Juyong Jiang, Jie Zhang, Kai Zhang

In this work, we propose a new architecture to aggregate the two sources of information using cascaded semantic and positional self-attention network (CSPAN) in the context of document classification.

Classification Document Classification +2

Low-Rank Reorganization via Proportional Hazards Non-negative Matrix Factorization Unveils Survival Associated Gene Clusters

no code implementations9 Aug 2020 Zhi Huang, Paul Salama, Wei Shao, Jie Zhang, Kun Huang

Towards the goal of precision health and cancer treatments, the proposed algorithm can help understand and interpret high-dimensional heterogeneous genomics data with accurate identification of survival-associated gene clusters.

FrUITeR: A Framework for Evaluating UI Test Reuse

no code implementations8 Aug 2020 Yixue Zhao, Justin Chen, Adriana Sejfia, Marcelo Schmitt Laser, Jie Zhang, Federica Sarro, Mark Harman, Nenad Medvidovic

UI testing is tedious and time-consuming due to the manual effort required.

Software Engineering

Attentive Fusion Enhanced Audio-Visual Encoding for Transformer Based Robust Speech Recognition

no code implementations6 Aug 2020 Liangfa Wei, Jie Zhang, JunFeng Hou, Li-Rong Dai

The proposed method can sufficiently combine the two streams and weaken the over-reliance on the audio modality.

Robust Speech Recognition

Wireless Performance Evaluation of Building Layouts: Closed-Form Computation of Figures of Merit

no code implementations20 Jul 2020 Jiliang Zhang, Andrés Alayón Glazunov, Jie Zhang

This paper presents a part of our ground-breaking work on evaluation of buildings in terms of wireless friendliness in the building-design stage.

Federated Mutual Learning

1 code implementation27 Jun 2020 Tao Shen, Jie Zhang, Xinkang Jia, Fengda Zhang, Gang Huang, Pan Zhou, Kun Kuang, Fei Wu, Chao Wu

The experiments show that FML can achieve better performance than alternatives in typical FL setting, and clients can be benefited from FML with different models and tasks.

Federated Learning

Adaptive Sampling to Reduce Disparate Performance

no code implementations11 Jun 2020 Jacob Abernethy, Pranjal Awasthi, Matthäus Kleindessner, Jamie Morgenstern, Jie Zhang

In such a scenario, a natural strategy to mitigate the performance difference of the classifier is to provide additional training data drawn from the demographic groups that are worse off.

A Re-visit of the Popularity Baseline in Recommender Systems

1 code implementation28 May 2020 Yitong Ji, Aixin Sun, Jie Zhang, Chenliang Li

On the widely used MovieLens dataset, we show that the performance of popularity could be significantly improved by 70% or more, if we consider the popular items at the time point when a user interacts with the system.

Recommendation Systems

A Convolutional Neural Network with Parallel Multi-Scale Spatial Pooling to Detect Temporal Changes in SAR Images

no code implementations22 May 2020 Jia-Wei Chen, Rongfang Wang, Fan Ding, Bo Liu, Licheng Jiao, Jie Zhang

Furthermore, to verify the generalization of the proposed method, we apply our proposed method to the cross-dataset bitemporal SAR image change detection, where the MSSP network (MSSP-Net) is trained on a dataset and then applied to an unknown testing dataset.

Benchmarking High Bandwidth Memory on FPGAs

2 code implementations9 May 2020 Zeke Wang, Hongjing Huang, Jie Zhang, Gustavo Alonso

FPGAs are starting to be enhanced with High Bandwidth Memory (HBM) as a way to reduce the memory bandwidth bottleneck encountered in some applications and to give the FPGA more capacity to deal with application state.

Hardware Architecture

Estimation of the Laser Frequency Nosie Spectrum by Continuous Dynamical Decoupling

no code implementations8 May 2020 Manchao Zhang, Yi Xie, Jie Zhang, Weichen Wang, Chunwang Wu, Ting Chen, Wei Wu, Pingxing Chen

Decoherence induced by the laser frequency noise is one of the most important obstacles in the quantum information processing.

Quantum Physics

Adaptive Structural Fingerprints for Graph Attention Networks

no code implementations ICLR 2020 Kai Zhang, Yaokang Zhu, Jun Wang, Jie Zhang

Yet, how to fully exploit rich structural information in the attention mechanism remains a challenge.

Graph Attention

Single-Side Domain Generalization for Face Anti-Spoofing

1 code implementation CVPR 2020 Yunpei Jia, Jie Zhang, Shiguang Shan, Xilin Chen

In this work, we propose an end-to-end single-side domain generalization framework (SSDG) to improve the generalization ability of face anti-spoofing.

Domain Generalization Face Anti-Spoofing

Reconstructing normal section profiles of 3D revolving structures via pose-unconstrained multi-line structured-light vision

no code implementations27 Apr 2020 Junhua Sun, Zhou Zhang, Jie Zhang

First, we establish a model to estimate the axis of 3D revolving geometrical structure and the normal section profile using corresponding points.

Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation

2 code implementations CVPR 2020 Yude Wang, Jie Zhang, Meina Kan, Shiguang Shan, Xilin Chen

Our method is based on the observation that equivariance is an implicit constraint in fully supervised semantic segmentation, whose pixel-level labels take the same spatial transformation as the input images during data augmentation.

Data Augmentation Weakly-Supervised Semantic Segmentation

STAN-CT: Standardizing CT Image using Generative Adversarial Network

1 code implementation2 Apr 2020 Md. Selim, Jie Zhang, Baowei Fei, Guo-Qiang Zhang, Jin Chen

Computed tomography (CT) plays an important role in lung malignancy diagnostics and therapy assessment and facilitating precision medicine delivery.

Computed Tomography (CT)

Application of Structural Similarity Analysis of Visually Salient Areas and Hierarchical Clustering in the Screening of Similar Wireless Capsule Endoscopic Images

no code implementations1 Apr 2020 Rui Nie, Huan Yang, Hejuan Peng, Wenbin Luo, Weiya Fan, Jie Zhang, Jing Liao, Fang Huang, Yufeng Xiao

Small intestinal capsule endoscopy is the mainstream method for inspecting small intestinal lesions, but a single small intestinal capsule endoscopy will produce 60, 000 - 120, 000 images, the majority of which are similar and have no diagnostic value.

Multiform Fonts-to-Fonts Translation via Style and Content Disentangled Representations of Chinese Character

no code implementations28 Mar 2020 Fenxi Xiao, Jie Zhang, Bo Huang, Xia Wu

The main purpose of this paper is to design a network framework that can extract and recombine the content and style of the characters.

Style Transfer Translation

Model Watermarking for Image Processing Networks

1 code implementation25 Feb 2020 Jie Zhang, Dong-Dong Chen, Jing Liao, Han Fang, Weiming Zhang, Wenbo Zhou, HAO CUI, Nenghai Yu

In this way, when the attacker trains one surrogate model by using the input-output pairs of the target model, the hidden watermark will be learned and extracted afterward.

Bounded Incentives in Manipulating the Probabilistic Serial Rule

no code implementations28 Jan 2020 Zihe Wang, Zhide Wei, Jie Zhang

In this paper, we characterize the extent to which an individual agent can increase its utility by strategic manipulation.


Learning Variable Ordering Heuristics for Solving Constraint Satisfaction Problems

no code implementations23 Dec 2019 Wen Song, Zhiguang Cao, Jie Zhang, Andrew Lim

In this paper, we propose a deep reinforcement learning based approach to automatically discover new variable ordering heuristics that are better adapted for a given class of CSP instances.

COBRA: Context-aware Bernoulli Neural Networks for Reputation Assessment

no code implementations18 Dec 2019 Leonit Zeynalvand, Tie Luo, Jie Zhang

Trust and reputation management (TRM) plays an increasingly important role in large-scale online environments such as multi-agent systems (MAS) and the Internet of Things (IoT).

Learning Improvement Heuristics for Solving Routing Problems

1 code implementation12 Dec 2019 Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang, Andrew Lim

In this paper, we propose a deep reinforcement learning framework to learn the improvement heuristics for routing problems.

Which Channel to Ask My Question? Personalized Customer Service RequestStream Routing using DeepReinforcement Learning

no code implementations24 Nov 2019 Zining Liu, Chong Long, Xiaolu Lu, Zehong Hu, Jie Zhang, Yafang Wang

These observations suggest that our proposed method can seek the trade-off where both channel resources and customers' satisfaction are optimal.

Chatbot Q-Learning

Bilinear Constraint based ADMM for Mixed Poisson-Gaussian Noise Removal

no code implementations18 Oct 2019 Jie Zhang, Yuping Duan, Yue Lu, Michael K. Ng, Huibin Chang

In this paper, we propose new operator-splitting algorithms for the total variation regularized infimal convolution (TV-IC) model [4] in order to remove mixed Poisson-Gaussian(MPG) noise.

Hierarchical Attentive Knowledge Graph Embedding for Personalized Recommendation

no code implementations18 Oct 2019 Xiao Sha, Zhu Sun, Jie Zhang

Knowledge graphs (KGs) have proven to be effective for high-quality recommendation, where the connectivities between users and items provide rich and complementary information to user-item interactions.

Knowledge Graph Embedding Knowledge Graphs

Research Commentary on Recommendations with Side Information: A Survey and Research Directions

no code implementations19 Sep 2019 Zhu Sun, Qing Guo, Jie Yang, Hui Fang, Guibing Guo, Jie Zhang, Robin Burke

This Research Commentary aims to provide a comprehensive and systematic survey of the recent research on recommender systems with side information.

Knowledge Graphs Recommendation Systems +1

Self-supervised Scale Equivariant Network for Weakly Supervised Semantic Segmentation

1 code implementation9 Sep 2019 Yude Wang, Jie Zhang, Meina Kan, Shiguang Shan, Xilin Chen

This regularized CAM can be embedded in most recent advanced weakly supervised semantic segmentation framework.

Weakly-Supervised Semantic Segmentation

Video Affective Effects Prediction with Multi-modal Fusion and Shot-Long Temporal Context

no code implementations1 Sep 2019 Jie Zhang, Yin Zhao, Longjun Cai, Chaoping Tu, Wu Wei

We select the most suitable modalities for valence and arousal tasks respectively and each modal feature is extracted using the modality-specific pre-trained deep model on large generic dataset.

FocusNet: Imbalanced Large and Small Organ Segmentation with an End-to-End Deep Neural Network for Head and Neck CT Images

no code implementations28 Jul 2019 Yunhe Gao, Rui Huang, Ming Chen, Zhe Wang, Jincheng Deng, YuanYuan Chen, Yiwei Yang, Jie Zhang, Chanjuan Tao, Hongsheng Li

In this paper, we propose an end-to-end deep neural network for solving the problem of imbalanced large and small organ segmentation in head and neck (HaN) CT images.

Method of diagnosing heart disease based on deep learning ECG signal

no code implementations25 Jun 2019 Jie Zhang, Bohao Li, Kexin Xiang, Xuegang Shi

Some have tried to combine expertise and signal processing to classify ECG signal by heart disease type.

Imbalanced Learning-based Automatic SAR Images Change Detection by Morphologically Supervised PCA-Net

no code implementations19 Jun 2019 Rongfang Wang, Jie Zhang, Jia-Wei Chen, Licheng Jiao, Mi Wang

Change detection is a quite challenging task due to the imbalance between unchanged and changed class.

Transferrable Operative Difficulty Assessment in Robot-assisted Teleoperation: A Domain Adaptation Approach

no code implementations12 Jun 2019 Ziheng Wang, Cong Feng, Jie Zhang, Ann Majewicz Fey

Providing an accurate and efficient assessment of operative difficulty is important for designing robot-assisted teleoperation interfaces that are easy and natural for human operators to use.

Steering Control Unsupervised Domain Adaptation

Average-case Analysis of the Assignment Problem with Independent Preferences

no code implementations1 Jun 2019 Yansong Gao, Jie Zhang

Recently, [Deng, Gao, Zhang 2017] show that when the agents' preferences are drawn from a uniform distribution, its \textit{average-case approximation ratio} is upper bounded by 3. 718.

Multi-Normal Estimation via Pair Consistency Voting

1 code implementation1 Apr 2019 Jie Zhang, Junjie Cao, Xiuping Liu, He Chen, Bo Li, Ligang Liu

This paper presents a unified definition for point cloud normals of feature and non-feature points, which allows feature points to possess multiple normals.

Surface Normals Estimation from Point Clouds

Regularize, Expand and Compress: Multi-task based Lifelong Learning via NonExpansive AutoML

no code implementations20 Mar 2019 Jie Zhang, Junting Zhang, Shalini Ghosh, Dawei Li, Jingwen Zhu, Heming Zhang, Yalin Wang

Lifelong learning, the problem of continual learning where tasks arrive in sequence, has been lately attracting more attention in the computer vision community.

AutoML Continual Learning

Class-incremental Learning via Deep Model Consolidation

2 code implementations19 Mar 2019 Junting Zhang, Jie Zhang, Shalini Ghosh, Dawei Li, Serafettin Tasci, Larry Heck, Heming Zhang, C. -C. Jay Kuo

The idea is to first train a separate model only for the new classes, and then combine the two individual models trained on data of two distinct set of classes (old classes and new classes) via a novel double distillation training objective.

class-incremental learning Image Classification +2

Generative Visual Dialogue System via Adaptive Reasoning and Weighted Likelihood Estimation

no code implementations26 Feb 2019 Heming Zhang, Shalini Ghosh, Larry Heck, Stephen Walsh, Junting Zhang, Jie Zhang, C. -C. Jay Kuo

The key challenge of generative Visual Dialogue (VD) systems is to respond to human queries with informative answers in natural and contiguous conversation flow.

Visual Dialog

MICIK: MIning Cross-Layer Inherent Similarity Knowledge for Deep Model Compression

no code implementations3 Feb 2019 Jie Zhang, Xiaolong Wang, Dawei Li, Shalini Ghosh, Abhishek Kolagunda, Yalin Wang

State-of-the-art deep model compression methods exploit the low-rank approximation and sparsity pruning to remove redundant parameters from a learned hidden layer.

Knowledge Distillation Model Compression

Geometric Constrained Joint Lane Segmentation and Lane Boundary Detection

no code implementations ECCV 2018 Jie Zhang, Yi Xu, Bingbing Ni, Zhenyu Duan

The main contributions of the proposed frame- work are highlighted in two facets: (1) We put forward a multiple-task learning framework with mutually interlinked sub-structures between lane segmentation and lane boundary detection to improve overall performance.

Boundary Detection Lane Detection

Semi-supervised Learning on Graphs with Generative Adversarial Nets

1 code implementation1 Sep 2018 Ming Ding, Jie Tang, Jie Zhang

We first provide insights on working principles of adversarial learning over graphs and then present GraphSGAN, a novel approach to semi-supervised learning on graphs.

An Operation Network for Abstractive Sentence Compression

no code implementations COLING 2018 Naitong Yu, Jie Zhang, Minlie Huang, Xiaoyan Zhu

Delete-based models have the strong ability to delete undesired words, while generate-based models are able to reorder or rephrase the words, which are more coherent to human sentence compression.

Sentence Compression Text Generation

Spectral Network Embedding: A Fast and Scalable Method via Sparsity

1 code implementation7 Jun 2018 Jie Zhang, Yan Wang, Jie Tang, Ming Ding

In this paper, we propose a $10\times \sim 100\times$ faster network embedding method, called Progle, by elegantly utilizing the sparsity property of online networks and spectral analysis.

Link Prediction Network Embedding +1

Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing

no code implementations NeurIPS 2018 Zehong Hu, Yitao Liang, Yang Liu, Jie Zhang

Incentive mechanisms for crowdsourcing are designed to incentivize financially self-interested workers to generate and report high-quality labels.

Bayesian Inference

An Unsupervised Clustering-Based Short-Term Solar Forecasting Methodology Using Multi-Model Machine Learning Blending

no code implementations10 May 2018 Cong Feng, Mingjian Cui, Bri-Mathias Hodge, Siyuan Lu, Hendrik F. Hamann, Jie Zhang

This methodology consists of three parts: GHI time series unsupervised clustering, pattern recognition, and UC-based forecasting.

Time Series

Hourly-Similarity Based Solar Forecasting Using Multi-Model Machine Learning Blending

no code implementations9 Mar 2018 Cong Feng, Jie Zhang

The final optimal model is a combination of MMFF models with the best-performed blending algorithm at every hour.

Interacting Attention-gated Recurrent Networks for Recommendation

no code implementations5 Sep 2017 Wenjie Pei, Jie Yang, Zhu Sun, Jie Zhang, Alessandro Bozzon, David M. J. Tax

In particular, we propose a novel attention scheme to learn the attention scores of user and item history in an interacting way, thus to account for the dependencies between user and item dynamics in shaping user-item interactions.

Multi-task Dictionary Learning based Convolutional Neural Network for Computer aided Diagnosis with Longitudinal Images

no code implementations31 Aug 2017 Jie Zhang, Qingyang Li, Richard J. Caselli, Jieping Ye, Yalin Wang

Firstly, we pre-train CNN on the ImageNet dataset and transfer the knowledge from the pre-trained model to the medical imaging progression representation, generating the features for different tasks.

Dictionary Learning Image Classification +1

Intensity Video Guided 4D Fusion for Improved Highly Dynamic 3D Reconstruction

no code implementations6 Aug 2017 Jie Zhang, Christos Maniatis, Luis Horna, Robert B. Fisher

The availability of high-speed 3D video sensors has greatly facilitated 3D shape acquisition of dynamic and deformable objects, but high frame rate 3D reconstruction is always degraded by spatial noise and temporal fluctuations.

3D Reconstruction

Seeing the Forest from the Trees in Two Looks: Matrix Sketching by Cascaded Bilateral Sampling

no code implementations25 Jul 2016 Kai Zhang, Chuanren Liu, Jie Zhang, Hui Xiong, Eric Xing, Jieping Ye

Given a matrix A of size m by n, state-of-the-art randomized algorithms take O(m * n) time and space to obtain its low-rank decomposition.

Occlusion-Free Face Alignment: Deep Regression Networks Coupled With De-Corrupt AutoEncoders

no code implementations CVPR 2016 Jie Zhang, Meina Kan, Shiguang Shan, Xilin Chen

Face alignment or facial landmark detection plays an important role in many computer vision applications, e. g., face recognition, facial expression recognition, face animation, etc.

Face Alignment Face Recognition +2

Leveraging Datasets With Varying Annotations for Face Alignment via Deep Regression Network

no code implementations ICCV 2015 Jie Zhang, Meina Kan, Shiguang Shan, Xilin Chen

Facial landmark detection, as a vital topic in computer vision, has been studied for many decades and lots of datasets have been collected for evaluation.

Face Alignment Facial Landmark Detection

Scaling POMDPs For Selecting Sellers in E-markets-Extended Version

no code implementations30 Nov 2015 Athirai A. Irissappane, Frans A. Oliehoek, Jie Zhang

In multiagent e-marketplaces, buying agents need to select good sellers by querying other buyers (called advisors).

Correlative Multi-Label Multi-Instance Image Annotation

no code implementations IEEE International Conference on Computer Vision 2011 Xiangyang Xue, Wei zhang, Jie Zhang, Bin Wu, Jianping Fan, Yao Lu

The cross-level label coherence en-codes the consistency between the labels at the image leveland the labels at the region level.

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