Search Results for author: Rui Zhang

Found 178 papers, 43 papers with code

Grouped-Attention for Content-Selection and Content-Plan Generation

no code implementations Findings (EMNLP) 2021 Bayu Distiawan Trisedya, Xiaojie Wang, Jianzhong Qi, Rui Zhang, Qingjun Cui

A key component of the GSC-attention is grouped-attention, which is token-level attention constrained within each input attribute that enables our proposed model captures both local and global context.

Data-to-Text Generation

Causal Analysis Framework for Recommendation

no code implementations18 Jan 2022 Peng Wu, Haoxuan Li, yuhao deng, Wenjie Hu, Quanyu Dai, Zhenhua Dong, Jie Sun, Rui Zhang, Xiao-Hua Zhou

Then, we provide a new taxonomy and give a formal definition of various biases in RS from the perspective of violating what assumptions are adopted in standard causal analysis.

Rethinking Influence Functions of Neural Networks in the Over-parameterized Regime

no code implementations15 Dec 2021 Rui Zhang, Shihua Zhang

However, the classic implicit Hessian-vector product (IHVP) method for calculating IF is fragile, and theoretical analysis of IF in the context of neural networks is still lacking.

An Overview of Signal Processing Techniques for RIS/IRS-aided Wireless Systems

no code implementations11 Dec 2021 Cunhua Pan, Gui Zhou, Kangda Zhi, Sheng Hong, Tuo Wu, Yijin Pan, Hong Ren, Marco Di Renzo, A. Lee Swindlehurst, Rui Zhang, Angela Yingjun Zhang

In the past as well as present wireless communication systems, the wireless propagation environment is regarded as an uncontrollable black box that impairs the received signal quality, and its negative impacts are compensated for by relying on the design of various sophisticated transmission/reception schemes.

Feature-based Recognition Framework for Super-resolution Images

no code implementations4 Dec 2021 Jing Hu, Meiqi Zhang, Rui Zhang

In practical application, the performance of recognition network usually decreases when being applied on super-resolution images.

Super-Resolution

MISS: Multi-Interest Self-Supervised Learning Framework for Click-Through Rate Prediction

no code implementations30 Nov 2021 Wei Guo, Can Zhang, ZhiCheng He, Jiarui Qin, Huifeng Guo, Bo Chen, Ruiming Tang, Xiuqiang He, Rui Zhang

With the help of two novel CNN-based multi-interest extractors, self-supervision signals are discovered with full considerations of different interest representations (point-wise and union-wise), interest dependencies (short-range and long-range), and interest correlations (inter-item and intra-item).

Click-Through Rate Prediction Contrastive Learning +3

AnchorGAE: General Data Clustering via $O(n)$ Bipartite Graph Convolution

no code implementations12 Nov 2021 Hongyuan Zhang, Jiankun Shi, Rui Zhang, Xuelong Li

Anchors are generated from the original data to construct a bipartite graph such that the computational complexity of graph convolution is reduced from $O(n^2)$ and $O(|\mathcal{E}|)$ to $O(n)$.

DYLE: Dynamic Latent Extraction for Abstractive Long-Input Summarization

1 code implementation15 Oct 2021 Ziming Mao, Chen Henry Wu, Ansong Ni, Yusen Zhang, Rui Zhang, Tao Yu, Budhaditya Deb, Chenguang Zhu, Ahmed H. Awadallah, Dragomir Radev

We introduce consistency loss, which encourages the extractor to approximate the averaged dynamic weights predicted by the generator.

Abstractive Text Summarization

Prefix-to-SQL: Text-to-SQL Generation from Incomplete User Questions

no code implementations15 Sep 2021 Naihao Deng, Shuaichen Chang, Peng Shi, Tao Yu, Rui Zhang

Existing text-to-SQL research only considers complete questions as the input, but lay-users might strive to formulate a complete question.

Curriculum Learning Text-To-Sql

Multi View Spatial-Temporal Model for Travel Time Estimation

1 code implementation15 Sep 2021 Zichuan Liu, Zhaoyang Wu, Meng Wang, Rui Zhang

Specifically, we use graph2vec to model the spatial view, dual-channel temporal module to model the trajectory view, and structural embedding to model traffic semantics.

An Exploratory Study on Long Dialogue Summarization: What Works and What's Next

1 code implementation10 Sep 2021 Yusen Zhang, Ansong Ni, Tao Yu, Rui Zhang, Chenguang Zhu, Budhaditya Deb, Asli Celikyilmaz, Ahmed Hassan Awadallah, Dragomir Radev

Dialogue summarization helps readers capture salient information from long conversations in meetings, interviews, and TV series.

EVOQUER: Enhancing Temporal Grounding with Video-Pivoted BackQuery Generation

no code implementations10 Sep 2021 Yanjun Gao, Lulu Liu, Jason Wang, Xin Chen, Huayan Wang, Rui Zhang

Given a query and an untrimmed video, the temporal grounding model predicts the target interval, and the predicted video clip is fed into a video translation task by generating a simplified version of the input query.

Translation

CancerBERT: a BERT model for Extracting Breast Cancer Phenotypes from Electronic Health Records

no code implementations25 Aug 2021 Sicheng Zhou, LiWei Wang, Nan Wang, Hongfang Liu, Rui Zhang

This data used in the study included 21, 291 breast cancer patients diagnosed from 2010 to 2020, patients' clinical notes and pathology reports were collected from the University of Minnesota Clinical Data Repository (UMN).

NER

"Adversarial Examples" for Proof-of-Learning

no code implementations21 Aug 2021 Rui Zhang, Jian Liu, Yuan Ding, Qingbiao Wu, Kui Ren

Jia et al. claimed that an adversary merely knowing the final model and training dataset cannot efficiently find a set of intermediate models with correct data points.

Logic-Consistency Text Generation from Semantic Parses

1 code implementation Findings (ACL) 2021 Chang Shu, Yusen Zhang, Xiangyu Dong, Peng Shi, Tao Yu, Rui Zhang

Text generation from semantic parses is to generate textual descriptions for formal representation inputs such as logic forms and SQL queries.

Text Generation

Hindsight Value Function for Variance Reduction in Stochastic Dynamic Environment

no code implementations26 Jul 2021 Jiaming Guo, Rui Zhang, Xishan Zhang, Shaohui Peng, Qi Yi, Zidong Du, Xing Hu, Qi Guo, Yunji Chen

In this paper, we propose to replace the state value function with a novel hindsight value function, which leverages the information from the future to reduce the variance of the gradient estimate for stochastic dynamic environments.

Policy Gradient Methods

Video Crowd Localization with Multi-focus Gaussian Neighbor Attention and a Large-Scale Benchmark

no code implementations19 Jul 2021 Haopeng Li, Lingbo Liu, Kunlin Yang, Shinan Liu, Junyu Gao, Bin Zhao, Rui Zhang, Jun Hou

Video crowd localization is a crucial yet challenging task, which aims to estimate exact locations of human heads in the given crowded videos.

Improving Model Robustness with Latent Distribution Locally and Globally

1 code implementation8 Jul 2021 Zhuang Qian, Shufei Zhang, Kaizhu Huang, Qiufeng Wang, Rui Zhang, Xinping Yi

The proposed adversarial training with latent distribution (ATLD) method defends against adversarial attacks by crafting LMAEs with the latent manifold in an unsupervised manner.

Adversarial Robustness

Discovering novel drug-supplement interactions using a dietary supplements knowledge graph generated from the biomedical literature

no code implementations24 Jun 2021 Dalton Schutte, Jake Vasilakes, Anu Bompelli, Yuqi Zhou, Marcelo Fiszman, Hua Xu, Halil Kilicoglu, Jeffrey R. Bishop, Terrence Adam, Rui Zhang

MATERIALS AND METHODS: We created SemRepDS (an extension of SemRep), capable of extracting semantic relations from abstracts by leveraging a DS-specific terminology (iDISK) containing 28, 884 DS terms not found in the UMLS.

Structured in Space, Randomized in Time: Leveraging Dropout in RNNs for Efficient Training

no code implementations NeurIPS 2021 Anup Sarma, Sonali Singh, Huaipan Jiang, Rui Zhang, Mahmut T Kandemir, Chita R Das

Recurrent Neural Networks (RNNs), more specifically their Long Short-Term Memory (LSTM) variants, have been widely used as a deep learning tool for tackling sequence-based learning tasks in text and speech.

Language Modelling Machine Translation +1

Deep Learning Models in Detection of Dietary Supplement Adverse Event Signals from Twitter

no code implementations21 Jun 2021 Yefeng Wang, Yunpeng Zhao, Jiang Bian, Rui Zhang

We chose the best performing models in each task to assemble an end-to-end deep learning pipeline to detect DS AE signals and compared the results to the known DS AEs from a DS knowledge base (i. e., iDISK).

Relation Extraction Word Embeddings

Deep Contrastive Graph Representation via Adaptive Homotopy Learning

no code implementations17 Jun 2021 Rui Zhang, Chengjun Lu, Ziheng Jiao, Xuelong Li

In particular, in this paper, we apply AH to contrastive learning (AHCL) such that it can be effectively transferred from weak-supervised learning (given label priori) to unsupervised learning, where soft labels of contrastive learning are directly and adaptively learned.

Contrastive Learning

Shuffle Transformer with Feature Alignment for Video Face Parsing

no code implementations16 Jun 2021 Rui Zhang, Yang Han, Zilong Huang, Pei Cheng, Guozhong Luo, Gang Yu, Bin Fu

This is a short technical report introducing the solution of the Team TCParser for Short-video Face Parsing Track of The 3rd Person in Context (PIC) Workshop and Challenge at CVPR 2021.

Face Parsing

Non-Gradient Manifold Neural Network

no code implementations15 Jun 2021 Rui Zhang, Ziheng Jiao, Hongyuan Zhang, Xuelong Li

Moreover, by unifying the flexible Stiefel manifold and adaptive support vector machine, we devise the novel decision layer which efficiently fits the manifold structure of the data and label information.

Instrument Space Selection for Kernel Maximum Moment Restriction

1 code implementation7 Jun 2021 Rui Zhang, Krikamol Muandet, Bernhard Schölkopf, Masaaki Imaizumi

Kernel maximum moment restriction (KMMR) recently emerges as a popular framework for instrumental variable (IV) based conditional moment restriction (CMR) models with important applications in conditional moment (CM) testing and parameter estimation for IV regression and proximal causal learning.

Hierarchical Temperature Imaging Using Pseudo-Inversed Convolutional Neural Network Aided TDLAS Tomography

no code implementations5 Jun 2021 Jingjing Si, Guoliang Li, Yinbo Cheng, Rui Zhang, Godwin Enemali, Chang Liu

As an in situ combustion diagnostic tool, Tunable Diode Laser Absorption Spectroscopy (TDLAS) tomography has been widely used for imaging of two-dimensional temperature distributions in reactive flows.

Image Reconstruction

Noise Doesn't Lie: Towards Universal Detection of Deep Inpainting

no code implementations3 Jun 2021 Ang Li, Qiuhong Ke, Xingjun Ma, Haiqin Weng, Zhiyuan Zong, Feng Xue, Rui Zhang

A promising countermeasure against such forgeries is deep inpainting detection, which aims to locate the inpainted regions in an image.

Image Inpainting

UAV Aided Over-the-Air Computation

no code implementations1 Jun 2021 Min Fu, Yong Zhou, Yuanming Shi, Wei Chen, Rui Zhang

Over-the-air computation (AirComp) seamlessly integrates communication and computation by exploiting the waveform superposition property of multiple-access channels.

Spatial-Temporal Conv-sequence Learning with Accident Encoding for Traffic Flow Prediction

no code implementations21 May 2021 Zichuan Liu, Rui Zhang, Chen Wang, Hongbo Jiang

In an intelligent transportation system, the key problem of traffic forecasting is how to extract the periodic temporal dependencies and complex spatial correlation.

Neural Graph Matching based Collaborative Filtering

1 code implementation10 May 2021 Yixin Su, Rui Zhang, Sarah Erfani, Junhao Gan

User and item attributes are essential side-information; their interactions (i. e., their co-occurrence in the sample data) can significantly enhance prediction accuracy in various recommender systems.

Collaborative Filtering Graph Learning +2

De-Pois: An Attack-Agnostic Defense against Data Poisoning Attacks

no code implementations8 May 2021 Jian Chen, Xuxin Zhang, Rui Zhang, Chen Wang, Ling Liu

The results demonstrate that De-Pois is effective and efficient for detecting poisoned data against all the four types of poisoning attacks, with both the accuracy and F1-score over 0. 9 on average.

Data Augmentation Data Poisoning

Domain-Specific Suppression for Adaptive Object Detection

no code implementations CVPR 2021 Yu Wang, Rui Zhang, Shuo Zhang, Miao Li, Yangyang Xia, Xishan Zhang, Shaoli Liu

The directions of weights, and the gradients, can be divided into domain-specific and domain-invariant parts, and the goal of domain adaptation is to concentrate on the domain-invariant direction while eliminating the disturbance from domain-specific one.

Domain Adaptation Object Detection

WGCN: Graph Convolutional Networks with Weighted Structural Features

2 code implementations29 Apr 2021 Yunxiang Zhao, Jianzhong Qi, Qingwei Liu, Rui Zhang

Based on nodes' geometrical relationships in the latent space, WGCN differentiates latent, in-, and out-neighbors with an attention-based geometrical aggregation.

Node Classification

LGD-GCN: Local and Global Disentangled Graph Convolutional Networks

1 code implementation24 Apr 2021 Jingwei Guo, Kaizhu Huang, Xinping Yi, Rui Zhang

In this paper, we introduce a novel Local and Global Disentangled Graph Convolutional Network (LGD-GCN) to capture both local and global information for graph disentanglement.

Graph Convolutional Network Node Classification

A Survey on Millimeter-Wave Beamforming Enabled UAV Communications and Networking

no code implementations19 Apr 2021 Zhenyu Xiao, Lipeng Zhu, Yanming Liu, Pengfei Yi, Rui Zhang, Xiang-Gen Xia, Robert Schober

The utilization of the millimeter-wave (mmWave) frequency bands is a promising direction for UAV communications, where large antenna arrays can be packed in a small area on the UAV to perform three-dimensional (3D) beamforming.

A Conversational Agent System for Dietary Supplements Use

no code implementations4 Apr 2021 Esha Singh, Anu Bompelli, Ruyuan Wan, Jiang Bian, Serguei Pakhomov, Rui Zhang

Dietary supplements (DS) have been widely used by consumers, but the information around the efficacy and safety of DS is disparate or incomplete, thus creating barriers for consumers to find information effectively.

FeTaQA: Free-form Table Question Answering

1 code implementation1 Apr 2021 Linyong Nan, Chiachun Hsieh, Ziming Mao, Xi Victoria Lin, Neha Verma, Rui Zhang, Wojciech Kryściński, Nick Schoelkopf, Riley Kong, Xiangru Tang, Murori Mutuma, Ben Rosand, Isabel Trindade, Renusree Bandaru, Jacob Cunningham, Caiming Xiong, Dragomir Radev

Existing table question answering datasets contain abundant factual questions that primarily evaluate the query and schema comprehension capability of a system, but they fail to include questions that require complex reasoning and integration of information due to the constraint of the associated short-form answers.

Question Answering Semantic Parsing +1

A Comprehensive Survey on Knowledge Graph Entity Alignment via Representation Learning

1 code implementation28 Mar 2021 Rui Zhang, Bayu Distiawan Trisedy, Miao Li, Yong Jiang, Jianzhong Qi

In the last few years, the interest in knowledge bases has grown exponentially in both the research community and the industry due to their essential role in AI applications.

Entity Alignment Representation Learning

Enhanced Principal Component Analysis under A Collaborative-Robust Framework

no code implementations22 Mar 2021 Rui Zhang, Hongyuan Zhang, Xuelong Li

Principal component analysis (PCA) frequently suffers from the disturbance of outliers and thus a spectrum of robust extensions and variations of PCA have been developed.

NameRec*: Highly Accurate and Fine-grained Person Name Recognition

no code implementations21 Mar 2021 Rui Zhang, Yimeng Dai, Shijie Liu

However, there are rapidly growing scenarios where sentences are of incomplete syntax and names are in various forms such as user-generated contents and academic homepages.

Named Entity Recognition

Stand-off magnetometry with directional emission from sodium vapors

no code implementations12 Mar 2021 Rui Zhang, Emmanuel Klinger, Felipe Pedreros Bustos, Alexander Akulshin, Hong Guo, Arne Wickenbrock, Dmitry Budker

Stand-off magnetometry allows measuring magnetic field at a distance, and can be employed in geophysical research, hazardous environment monitoring, and security applications.

Atomic Physics

The Labeled Multiple Canonical Correlation Analysis for Information Fusion

no code implementations28 Feb 2021 Lei Gao, Rui Zhang, Lin Qi, Enqing Chen, Ling Guan

The objective of multimodal information fusion is to mathematically analyze information carried in different sources and create a new representation which will be more effectively utilized in pattern recognition and other multimedia information processing tasks.

Emotion Recognition Face Recognition +2

Distributed quantum phase estimation with entangled photons

no code implementations23 Feb 2021 Li-Zheng Liu, Yu-Zhe Zhang, Zheng-Da Li, Rui Zhang, Xu-Fei Yin, Yue-Yang Fei, Li Li, Nai-Le Liu, Feihu Xu, Yu-Ao Chen, Jian-Wei Pan

Distributed quantum metrology can enhance the sensitivity for sensing spatially distributed parameters beyond the classical limits.

Quantum Physics

Environment-Aware and Training-Free Beam Alignment for mmWave Massive MIMO via Channel Knowledge Map

no code implementations19 Feb 2021 Di wu, Yong Zeng, Shi Jin, Rui Zhang

Two instances of CKM are proposed for beam alignment in mmWave massive MIMO systems, namely channel path map (CPM) and beam index map (BIM).

Target-Dependent Chemical Species Tomography with Hybrid Meshing of Sensing Regions

no code implementations10 Feb 2021 Rui Zhang, Jingjing Si, Godwin Enemali, Yong Bao, Chang Liu

The proposed scheme was both numerically and experimentally validated using a CST sensor with 32 laser beams using a variety of computational tomographic algorithms.

The evolution of network controllability in growing networks

no code implementations26 Jan 2021 Rui Zhang, Xiaomeng Wang, Ming Cheng, Tao Jia

The study of network structural controllability focuses on the minimum number of driver nodes needed to control a whole network.

Physics and Society

HexCNN: A Framework for Native Hexagonal Convolutional Neural Networks

no code implementations25 Jan 2021 Yunxiang Zhao, Qiuhong Ke, Flip Korn, Jianzhong Qi, Rui Zhang

Experimental results show that compared with the state-of-the-art models, which imitate hexagonal processing but using rectangle-shaped filters, HexCNN reduces the training time by up to 42. 2%.

Aerial Scene Classification Scene Classification

Extracting Lifestyle Factors for Alzheimer's Disease from Clinical Notes Using Deep Learning with Weak Supervision

no code implementations22 Jan 2021 Zitao Shen, Yoonkwon Yi, Anusha Bompelli, Fang Yu, Yanshan Wang, Rui Zhang

We performed two case studies: physical activity and excessive diet, in order to validate the effectiveness of BERT models in classifying lifestyle factors for AD.

SCoRe: Pre-Training for Context Representation in Conversational Semantic Parsing

no code implementations NeurIPS Workshop CAP 2020 Tao Yu, Rui Zhang, Alex Polozov, Christopher Meek, Ahmed Hassan Awadallah

Conversational Semantic Parsing (CSP) is the task of converting a sequence of natural language queries to formal language (e. g., SQL, SPARQL) that can be executed against a structured ontology (e. g. databases, knowledge bases).

Ranked #3 on Multi-domain Dialogue State Tracking on MULTIWOZ 2.1 (using extra training data)

Language Modelling Multi-domain Dialogue State Tracking +1

Refined Nonlinear Rectenna Modeling and Optimal Waveform Design for Multi-User Multi-Antenna Wireless Power Transfer

no code implementations31 Dec 2020 Samith Abeywickrama, Rui Zhang, Chau Yuen

Leveraging this new rectenna model, we first consider the single-ER case and study the multisine-based power waveform design based on the wireless channel to maximize the harvested power at the ER.

Information Theory Information Theory

TEMImageNet Training Library and AtomSegNet Deep-Learning Models for High-Precision Atom Segmentation, Localization, Denoising, and Super-Resolution Processing of Atomic-Resolution Images

no code implementations16 Dec 2020 Ruoqian Lin, Rui Zhang, Chunyang Wang, Xiao-Qing Yang, Huolin L. Xin

Atom segmentation and localization, noise reduction and deblurring of atomic-resolution scanning transmission electron microscopy (STEM) images with high precision and robustness is a challenging task.

Deblurring Denoising +2

Scene Text Detection with Scribble Lines

no code implementations9 Dec 2020 Wenqing Zhang, Yang Qiu, Minghui Liao, Rui Zhang, Xiaolin Wei, Xiang Bai

It is a general labeling method for texts with various shapes and requires low labeling costs.

Scene Text Detection

Compressive Circular Polarization Snapshot Spectral Imaging

no code implementations29 Nov 2020 Jianglan Ning, Zhilong Xu, Dan Wu, Rui Zhang, Yuanyuan Wang, Yingge Xie, Wei Zhao, Xu Ma, Wenyi Ren

A compressive sensing based circular polarization snapshot spectral imaging system is proposed in this paper to acquire two-dimensional spatial, one-dimensional circular polarization (the right and left circular polarization), and one-dimensional spectral information, simultaneously.

Compressive Sensing Optics Image and Video Processing 78A10 (Primary) I.4.2; I.4.4; I.4.5

Optimal Curing Strategy for Competing Epidemics Spreading over Complex Networks

no code implementations29 Nov 2020 Juntao Chen, Yunhan Huang, Rui Zhang, Quanyan Zhu

The designed curing strategy globally optimizes the trade-off between the curing cost and the severity of epidemics in the network.

Explainable Tensorized Neural Ordinary Differential Equations forArbitrary-step Time Series Prediction

no code implementations26 Nov 2020 Penglei Gao, Xi Yang, Rui Zhang, Kaizhu Huang

We propose a continuous neural network architecture, termed Explainable Tensorized Neural Ordinary Differential Equations (ETN-ODE), for multi-step time series prediction at arbitrary time points.

Time Series Time Series Prediction

Cost-Effective Quasi-Parallel Sensing Instrumentation for Industrial Chemical Species Tomography

no code implementations20 Nov 2020 Godwin Enemali, Rui Zhang, Hugh McCann, Chang Liu

Although a fully parallel data acquisition (DAQ) and signal processing system can achieve these functionalities with maximised temporal response, it leads to a highly complex, expensive and power-consuming instrumentation system with high potential for inconsistency between the sampled beams due to the electronics alone.

Image Reconstruction

Efficient Channel Estimation for Double-IRS Aided Multi-User MIMO System

no code implementations30 Oct 2020 Beixiong Zheng, Changsheng You, Rui Zhang

To achieve the more significant passive beamforming gain in the double-intelligent reflecting surface (IRS) aided system over the conventional single-IRS counterpart, channel state information (CSI) is indispensable in practice but also more challenging to acquire, due to the presence of not only the single- but also double-reflection links that are intricately coupled and also entail more channel coefficients for estimation.

Information Theory Information Theory

Did You Ask a Good Question? A Cross-Domain Question Intention Classification Benchmark for Text-to-SQL

1 code implementation23 Oct 2020 Yusen Zhang, Xiangyu Dong, Shuaichen Chang, Tao Yu, Peng Shi, Rui Zhang

Neural models have achieved significant results on the text-to-SQL task, in which most current work assumes all the input questions are legal and generates a SQL query for any input.

Text-To-Sql

Drug Repurposing for COVID-19 via Knowledge Graph Completion

1 code implementation19 Oct 2020 Rui Zhang, Dimitar Hristovski, Dalton Schutte, Andrej Kastrin, Marcelo Fiszman, Halil Kilicoglu

The models were trained and assessed using a time slicing approach and the predicted drugs were compared with a list of drugs reported in the literature and evaluated in clinical trials.

Knowledge Graph Completion

Maximum Moment Restriction for Instrumental Variable Regression

1 code implementation15 Oct 2020 Rui Zhang, Masaaki Imaizumi, Bernhard Schölkopf, Krikamol Muandet

We propose a simple framework for nonlinear instrumental variable (IV) regression based on a kernelized conditional moment restriction (CMR) known as a maximum moment restriction (MMR).

CSTNet: A Dual-Branch Convolutional Network for Imaging of Reactive Flows using Chemical Species Tomography

no code implementations8 Oct 2020 Yunfan Jiang, Jingjing Si, Rui Zhang, Godwin Enemali, Bin Zhou, Hugh McCann, Chang Liu

Chemical Species Tomography (CST) has been widely used for in situ imaging of critical parameters, e. g. species concentration and temperature, in reactive flows.

Image Reconstruction

Deep Learning Approaches for Extracting Adverse Events and Indications of Dietary Supplements from Clinical Text

no code implementations16 Sep 2020 Yadan Fan, Sicheng Zhou, Yi-Fan Li, Rui Zhang

The best performed NER and RE models were further applied on clinical notes mentioning 88 DS for discovering DS adverse events and indications, which were compared with a DS knowledge base.

Named Entity Recognition NER +1

Intelligent Reflecting Surface Aided Multicasting with Random Passive Beamforming

no code implementations1 Sep 2020 Qin Tao, Shuowen Zhang, Caijun Zhong, Rui Zhang

For the proposed scheme, we first derive a closed-form approximation of the outage probability, based on which the optimal $Q$ with best outage performance can be efficiently obtained.

Double-IRS Assisted Multi-User MIMO: Cooperative Passive Beamforming Design

no code implementations31 Aug 2020 Beixiong Zheng, Changsheng You, Rui Zhang

Intelligent reflecting surface (IRS) has emerged as an enabling technology to achieve smart and reconfigurable wireless communication environment cost-effectively.

Information Theory Emerging Technologies Information Theory

Detecting Beneficial Feature Interactions for Recommender Systems

1 code implementation2 Aug 2020 Yixin Su, Rui Zhang, Sarah Erfani, Zhenghua Xu

To make the best out of feature interactions, we propose a graph neural network approach to effectively model them, together with a novel technique to automatically detect those feature interactions that are beneficial in terms of recommendation accuracy.

Graph Classification Recommendation Systems

Aerial Intelligent Reflecting Surface: Joint Placement and Passive Beamforming Design with 3D Beam Flattening

no code implementations27 Jul 2020 Haiquan Lu, Yong Zeng, Shi Jin, Rui Zhang

Specifically, we aim to maximize the worst-case signal-to-noise ratio (SNR) over all locations in a target area by jointly optimizing the transmit beamforming for the source node and the placement as well as 3D passive beamforming for the AIRS.

FedOCR: Communication-Efficient Federated Learning for Scene Text Recognition

no code implementations22 Jul 2020 Wenqing Zhang, Yang Qiu, Song Bai, Rui Zhang, Xiaolin Wei, Xiang Bai

In this paper, we study how to make use of decentralized datasets for training a robust scene text recognizer while keeping them stay on local devices.

Federated Learning Scene Text Recognition

Intelligent Reflecting Surface Aided Wireless Communications: A Tutorial

no code implementations6 Jul 2020 Qingqing Wu, Shuowen Zhang, Beixiong Zheng, Changsheng You, Rui Zhang

Intelligent reflecting surface (IRS) is an enabling technology to engineer the radio signal prorogation in wireless networks.

Learning Based Distributed Tracking

no code implementations23 Jun 2020 Hao Wu, Junhao Gan, Rui Zhang

Inspired by the great success of machine learning in the past decade, people have been thinking about the possibility of improving the theoretical results by exploring data distribution.

Data Structures and Algorithms

Grafted network for person re-identification

no code implementations2 Jun 2020 Jiabao Wang, Yang Li, Shanshan Jiao, Zhuang Miao, Rui Zhang

In order to relieve this problem, we propose a novel grafted network (GraftedNet), which is designed by grafting a high-accuracy rootstock and a light-weighted scion.

Person Re-Identification

A heterogeneous branch and multi-level classification network for person re-identification

no code implementations2 Jun 2020 Jiabao Wang, Yang Li, Yangshuo Zhang, Zhuang Miao, Rui Zhang

A new heterogeneous branch, SE-Res-Branch, is proposed based on the SE-Res module, which consists of the Squeeze-and-Excitation block and the residual block.

General Classification Person Re-Identification

Map Generation from Large Scale Incomplete and Inaccurate Data Labels

no code implementations20 May 2020 Rui Zhang, Conrad Albrecht, Wei zhang, Xiaodong Cui, Ulrich Finkler, David Kung, Siyuan Lu

Accurately and globally mapping human infrastructure is an important and challenging task with applications in routing, regulation compliance monitoring, and natural disaster response management etc..

Disaster Response

Semi-Supervised Dialogue Policy Learning via Stochastic Reward Estimation

no code implementations ACL 2020 Xinting Huang, Jianzhong Qi, Yu Sun, Rui Zhang

This approach requires complete state-action annotations of human-to-human dialogues (i. e., expert demonstrations), which is labor intensive.

Task-Oriented Dialogue Systems

ESPRIT: Explaining Solutions to Physical Reasoning Tasks

2 code implementations ACL 2020 Nazneen Fatema Rajani, Rui Zhang, Yi Chern Tan, Stephan Zheng, Jeremy Weiss, Aadit Vyas, Abhijit Gupta, Caiming Xiong, Richard Socher, Dragomir Radev

Our framework learns to generate explanations of how the physical simulation will causally evolve so that an agent or a human can easily reason about a solution using those interpretable descriptions.

MATERIALizing Cross-Language Information Retrieval: A Snapshot

no code implementations LREC 2020 Petra Galuscakova, Douglas Oard, Joe Barrow, Suraj Nair, Shing Han-Chin, Elena Zotkina, Esk, Ramy er, Rui Zhang

At about the midpoint of the IARPA MATERIAL program in October 2019, an evaluation was conducted on systems{'} abilities to find Lithuanian documents based on English queries.

Information Retrieval

ReADS: A Rectified Attentional Double Supervised Network for Scene Text Recognition

no code implementations5 Apr 2020 Qi Song, Qianyi Jiang, Nan Li, Rui Zhang, Xiaolin Wei

In this paper, we elaborately design a Rectified Attentional Double Supervised Network (ReADS) for general scene text recognition.

Scene Text Recognition

Simultaneous Navigation and Radio Mapping for Cellular-Connected UAV with Deep Reinforcement Learning

1 code implementation17 Mar 2020 Yong Zeng, Xiaoli Xu, Shi Jin, Rui Zhang

Cellular-connected unmanned aerial vehicle (UAV) is a promising technology to unlock the full potential of UAVs in the future.

Unsupervised Graph Embedding via Adaptive Graph Learning

no code implementations10 Mar 2020 Rui Zhang, Yunxing Zhang, Xuelong. Li

Moreover, the adjacency matrix can be self-learned for better embedding performance when the original graph structure is incomplete.

graph construction Graph Embedding +5

Security of Distributed Machine Learning: A Game-Theoretic Approach to Design Secure DSVM

no code implementations8 Mar 2020 Rui Zhang, Quanyan Zhu

Distributed machine learning algorithms play a significant role in processing massive data sets over large networks.

Data Poisoning

Intelligent Reflecting Surface Assisted Multi-User OFDMA: Channel Estimation and Training Design

no code implementations2 Mar 2020 Beixiong Zheng, Changsheng You, Rui Zhang

To achieve the full passive beamforming gains of intelligent reflecting surface (IRS), accurate channel state information (CSI) is indispensable but practically challenging to acquire, due to the excessive amount of channel parameters to be estimated which increases with the number of IRS reflecting elements as well as that of IRS-served users.

Information Theory Information Theory

Embedding Graph Auto-Encoder for Graph Clustering

no code implementations20 Feb 2020 Hongyuan Zhang, Rui Zhang, Xuelong Li

Driven by theoretical analysis about relaxed k-means, we design a specific GAE-based model for graph clustering to be consistent with the theory, namely Embedding Graph Auto-Encoder (EGAE).

Graph Clustering

Adaptive Graph Auto-Encoder for General Data Clustering

1 code implementation20 Feb 2020 Xuelong. Li, Hongyuan Zhang, Rui Zhang

Therefore, how to extend graph convolution networks into general clustering tasks is an attractive problem.

Graph Embedding Network Embedding

DWM: A Decomposable Winograd Method for Convolution Acceleration

no code implementations3 Feb 2020 Di Huang, Xishan Zhang, Rui Zhang, Tian Zhi, Deyuan He, Jiaming Guo, Chang Liu, Qi Guo, Zidong Du, Shaoli Liu, Tianshi Chen, Yunji Chen

In this paper, we propose a novel Decomposable Winograd Method (DWM), which breaks through the limitation of original Winograd's minimal filtering algorithm to a wide and general convolutions.

Asymmetric GAN for Unpaired Image-to-image Translation

no code implementations25 Dec 2019 Yu Li, Sheng Tang, Rui Zhang, Yongdong Zhang, Jintao Li, Shuicheng Yan

While in situations where two domains are asymmetric in complexity, i. e., the amount of information between two domains is different, these approaches pose problems of poor generation quality, mapping ambiguity, and model sensitivity.

Image-to-Image Translation Translation

Quantile Propagation for Wasserstein-Approximate Gaussian Processes

1 code implementation NeurIPS 2020 Rui Zhang, Christian J. Walder, Edwin V. Bonilla, Marian-Andrei Rizoiu, Lexing Xie

We show that QP matches quantile functions rather than moments as in EP and has the same mean update but a smaller variance update than EP, thereby alleviating EP's tendency to over-estimate posterior variances.

Bayesian Inference Gaussian Processes

ICDAR 2019 Robust Reading Challenge on Reading Chinese Text on Signboard

no code implementations20 Dec 2019 Xi Liu, Rui Zhang, Yongsheng Zhou, Qianyi Jiang, Qi Song, Nan Li, Kai Zhou, Lei Wang, Dong Wang, Minghui Liao, Mingkun Yang, Xiang Bai, Baoguang Shi, Dimosthenis Karatzas, Shijian Lu, C. V. Jawahar

21 teams submit results for Task 1, 23 teams submit results for Task 2, 24 teams submit results for Task 3, and 13 teams submit results for Task 4.

Line Detection

MALA: Cross-Domain Dialogue Generation with Action Learning

no code implementations18 Dec 2019 Xinting Huang, Jianzhong Qi, Yu Sun, Rui Zhang

These two components, however, have a discrepancy in their objectives, i. e., task completion and language quality.

Dialogue Generation Semantic Similarity +1

Robust Principal Component Analysis with Adaptive Neighbors

no code implementations NeurIPS 2019 Rui Zhang, Hanghang Tong

More significantly, the degree of the sparsity is steerable such that only exact k well-fitting samples with least reconstruction errors are activated during the optimization, while the residual samples, i. e., the extreme noised ones are eliminated for the global robustness.

Holographic MIMO Surfaces for 6G Wireless Networks: Opportunities, Challenges, and Trends

no code implementations27 Nov 2019 Chongwen Huang, Sha Hu, George C. Alexandropoulos, Alessio Zappone, Chau Yuen, Rui Zhang, Marco Di Renzo, Mérouane Debbah

Future wireless networks are expected to evolve towards an intelligent and software reconfigurable paradigm enabling ubiquitous communications between humans and mobile devices.

Entity Extraction with Knowledge from Web Scale Corpora

no code implementations21 Nov 2019 Zeyi Wen, Zeyu Huang, Rui Zhang

Entity extraction is an important task in text mining and natural language processing.

Entity Extraction using GAN

Joint Active and Passive Beamforming Optimization for Intelligent Reflecting Surface Assisted SWIPT under QoS Constraints

no code implementations14 Oct 2019 Qingqing Wu, Rui Zhang

Moreover, by exploiting the short-range coverage of IRSs, we further propose a low-complexity algorithm by optimizing the phase shifts of all IRSs in parallel.

Goodness-of-fit tests on manifolds

no code implementations11 Sep 2019 Alexander Shapiro, Yao Xie, Rui Zhang

We develop a general theory for the goodness-of-fit test to non-linear models.

ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks

1 code implementation4 Sep 2019 Michihiro Yasunaga, Jungo Kasai, Rui Zhang, Alexander R. Fabbri, Irene Li, Dan Friedman, Dragomir R. Radev

Scientific article summarization is challenging: large, annotated corpora are not available, and the summary should ideally include the article's impacts on research community.

Scientific Document Summarization

Boosted GAN with Semantically Interpretable Information for Image Inpainting

no code implementations13 Aug 2019 Ang Li, Jianzhong Qi, Rui Zhang, Ramamohanarao Kotagiri

Forexample, given a male image with image region of one eye missing, current models may restore it with a female eye.

Image Inpainting Image Restoration

MMF: Attribute Interpretable Collaborative Filtering

no code implementations3 Aug 2019 Yixin Su, Sarah Monazam Erfani, Rui Zhang

Collaborative filtering is one of the most popular techniques in designing recommendation systems, and its most representative model, matrix factorization, has been wildly used by researchers and the industry.

Collaborative Filtering Recommendation Systems

CARL: Aggregated Search with Context-Aware Module Embedding Learning

no code implementations3 Aug 2019 Xinting Huang, Jianzhong Qi, Yu Sun, Rui Zhang, Hai-Tao Zheng

To model and utilize the context information for aggregated search, we propose a model with context attention and representation learning (CARL).

Representation Learning

Generative Image Inpainting with Submanifold Alignment

no code implementations1 Aug 2019 Ang Li, Jianzhong Qi, Rui Zhang, Xingjun Ma, Kotagiri Ramamohanarao

Image inpainting aims at restoring missing regions of corrupted images, which has many applications such as image restoration and object removal.

Image Inpainting Image Restoration

Consensus Feature Network for Scene Parsing

no code implementations29 Jul 2019 Tianyi Wu, Sheng Tang, Rui Zhang, Guodong Guo, Yongdong Zhang

However, classification networks are dominated by the discriminative portion, so directly applying classification networks to scene parsing will result in inconsistent parsing predictions within one instance and among instances of the same category.

General Classification Scene Parsing

A Learning-Based Two-Stage Spectrum Sharing Strategy with Multiple Primary Transmit Power Levels

no code implementations21 Jul 2019 Rui Zhang, Peng Cheng, Zhuo Chen, Yonghui Li, Branka Vucetic

Then, based on a novel normalized power level alignment metric, we propose two prediction-transmission structures, namely periodic and non-periodic, for spectrum access (the second part in Stage II), which enable the secondary transmitter (ST) to closely follow the PT power level variation.

A Strong Feature Representation for Siamese Network Tracker

no code implementations18 Jul 2019 Zhipeng Zhou, Rui Zhang, Dong Yin

Firstly, the modified pre-trained VGG16 network is fine-tuned as the backbone.

Object Tracking

Mining Twitter to Assess the Determinants of Health Behavior towards Human Papillomavirus Vaccination in the United States

no code implementations6 Jul 2019 Hansi Zhang, Christopher Wheldon, Adam G. Dunn, Cui Tao, Jinhai Huo, Rui Zhang, Mattia Prosperi, Yi Guo, Jiang Bian

We applied topic modeling to discover major themes, and subsequently explored the associations between the topics learned from consumers' discussions and the responses of HPV-related questions in the Health Information National Trends Survey (HINTS).

Neural Relation Extraction for Knowledge Base Enrichment

no code implementations ACL 2019 Bayu Distiawan Trisedya, Gerhard Weikum, Jianzhong Qi, Rui Zhang

This way, NED errors may cause extraction errors that affect the overall precision and recall. To address this problem, we propose an end-to-end relation extraction model for KB enrichment based on a neural encoder-decoder model.

Entity Disambiguation Entity Embeddings +1

Defending Adversarial Attacks by Correcting logits

no code implementations26 Jun 2019 Yifeng Li, Lingxi Xie, Ya zhang, Rui Zhang, Yanfeng Wang, Qi Tian

Generating and eliminating adversarial examples has been an intriguing topic in the field of deep learning.

This Email Could Save Your Life: Introducing the Task of Email Subject Line Generation

1 code implementation ACL 2019 Rui Zhang, Joel Tetreault

In this paper, we propose and study the task of email subject line generation: automatically generating an email subject line from the email body.

Abstractive Text Summarization Document Summarization

SParC: Cross-Domain Semantic Parsing in Context

5 code implementations ACL 2019 Tao Yu, Rui Zhang, Michihiro Yasunaga, Yi Chern Tan, Xi Victoria Lin, Suyi Li, Heyang Er, Irene Li, Bo Pang, Tao Chen, Emily Ji, Shreya Dixit, David Proctor, Sungrok Shim, Jonathan Kraft, Vincent Zhang, Caiming Xiong, Richard Socher, Dragomir Radev

The best model obtains an exact match accuracy of 20. 2% over all questions and less than10% over all interaction sequences, indicating that the cross-domain setting and the con-textual phenomena of the dataset present significant challenges for future research.

Semantic Parsing Text-To-Sql

Applications of Natural Language Processing in Clinical Research and Practice

no code implementations NAACL 2019 Yanshan Wang, Ahmad Tafti, Sunghwan Sohn, Rui Zhang

Through this tutorial, we would like to introduce NLP methodologies and tools developed in the clinical domain, and showcase the real-world NLP applications in clinical research and practice at Mayo Clinic (the No.

Doubly Robust Joint Learning for Recommendation on Data Missing Not at Random

no code implementations1 Jun 2019 Xiaojie Wang, Rui Zhang, Yu Sun, Jianzhong Qi

In recommender systems, usually the ratings of a user to most items are missing and a critical problem is that the missing ratings are often missing not at random (MNAR) in reality.

Imputation Recommendation Systems

Variational Inference for Sparse Gaussian Process Modulated Hawkes Process

1 code implementation25 May 2019 Rui Zhang, Christian Walder, Marian-Andrei Rizoiu

We validate the efficiency of our accelerated variational inference schema and practical utility of our tighter ELBO for model selection.

Model Selection Variational Inference

From Brain Imaging to Graph Analysis: a study on ADNI's patient cohort

no code implementations14 May 2019 Rui Zhang, Luca Giancardo, Danilo A. Pena, Yejin Kim, Hanghang Tong, Xiaoqian Jiang

In this paper, we studied the association between the change of structural brain volumes to the potential development of Alzheimer's disease (AD).

Feature Selection General Classification +1

LEARNING ADVERSARIAL EXAMPLES WITH RIEMANNIAN GEOMETRY

no code implementations ICLR 2019 Shufei Zhang, Kai-Zhu Huang, Rui Zhang, Amir Hussain

In this paper, we propose a generalized framework that addresses the learning problem of adversarial examples with Riemannian geometry.

CBHE: Corner-based Building Height Estimation for Complex Street Scene Images

no code implementations25 Apr 2019 Yunxiang Zhao, Jianzhong Qi, Rui Zhang

CBHE first obtains building corner and roofline candidates in street scene images based on building footprints from 2D maps and the camera parameters.

Harmonic Unpaired Image-to-image Translation

no code implementations ICLR 2019 Rui Zhang, Tomas Pfister, Jia Li

The recent direction of unpaired image-to-image translation is on one hand very exciting as it alleviates the big burden in obtaining label-intensive pixel-to-pixel supervision, but it is on the other hand not fully satisfactory due to the presence of artifacts and degenerated transformations.

Image-to-Image Translation Translation

Generative Adversarial Classifier for Handwriting Characters Super-Resolution

no code implementations18 Jan 2019 Zhuang Qian, Kai-Zhu Huang, Qiufeng Wang, Jimin Xiao, Rui Zhang

Generative Adversarial Networks (GAN) receive great attentions recently due to its excellent performance in image generation, transformation, and super-resolution.

General Classification Image Generation +1

Tree-structured Kronecker Convolutional Network for Semantic Segmentation

no code implementations12 Dec 2018 Tianyi Wu, Sheng Tang, Rui Zhang, Juan Cao, Jintao Li

Therefore, it can capture partial information and enlarge the receptive field of filters simultaneously without introducing extra parameters.

Semantic Segmentation

A Hybrid Approach to Privacy-Preserving Federated Learning

no code implementations7 Dec 2018 Stacey Truex, Nathalie Baracaldo, Ali Anwar, Thomas Steinke, Heiko Ludwig, Rui Zhang, Yi Zhou

Federated learning facilitates the collaborative training of models without the sharing of raw data.

Federated Learning

KDGAN: Knowledge Distillation with Generative Adversarial Networks

no code implementations NeurIPS 2018 Xiaojie Wang, Rui Zhang, Yu Sun, Jianzhong Qi

An alternative method is to adversarially train the classifier against a discriminator in a two-player game akin to generative adversarial networks (GAN), which can ensure the classifier to learn the true data distribution at the equilibrium of this game.

Knowledge Distillation Multi-Label Learning

CGNet: A Light-weight Context Guided Network for Semantic Segmentation

3 code implementations20 Nov 2018 Tianyi Wu, Sheng Tang, Rui Zhang, Yongdong Zhang

To tackle this problem, we propose a novel Context Guided Network (CGNet), which is a light-weight and efficient network for semantic segmentation.

Semantic Segmentation

Style Separation and Synthesis via Generative Adversarial Networks

2 code implementations7 Nov 2018 Rui Zhang, Sheng Tang, Yu Li, Junbo Guo, Yongdong Zhang, Jintao Li, Shuicheng Yan

The S3-GAN consists of an encoder network, a generator network, and an adversarial network.

SyntaxSQLNet: Syntax Tree Networks for Complex and Cross-DomainText-to-SQL Task

2 code implementations11 Oct 2018 Tao Yu, Michihiro Yasunaga, Kai Yang, Rui Zhang, Dongxu Wang, Zifan Li, Dragomir Radev

In this paper we propose SyntaxSQLNet, a syntax tree network to address the complex and cross-domain text-to-SQL generation task.

Semantic Parsing Text-To-Sql

Efficient Non-parametric Bayesian Hawkes Processes

1 code implementation8 Oct 2018 Rui Zhang, Christian Walder, Marian-Andrei Rizoiu, Lexing Xie

On two large-scale Twitter diffusion datasets, we show that our methods outperform the current state-of-the-art in goodness-of-fit and that the time complexity is linear in the size of the dataset.

PubSE: A Hierarchical Model for Publication Extraction from Academic Homepages

no code implementations EMNLP 2018 Yiqing Zhang, Jianzhong Qi, Rui Zhang, Chu Yin, ong

Publication information in a researcher{'}s academic homepage provides insights about the researcher{'}s expertise, research interests, and collaboration networks.

Artwork Identification from Wearable Camera Images for Enhancing Experience of Museum Audiences

no code implementations24 Jun 2018 Rui Zhang, Yusuf Tas, Piotr Koniusz

We discuss the application of wearable cameras, and the practical and technical challenges in devising a robust system that can recognize artworks viewed by the visitors to create a detailed record of their visit.

Recommendation Systems

Improving Text-to-SQL Evaluation Methodology

1 code implementation ACL 2018 Catherine Finegan-Dollak, Jonathan K. Kummerfeld, Li Zhang, Karthik Ramanathan, Sesh Sadasivam, Rui Zhang, Dragomir Radev

Second, we show that the current division of data into training and test sets measures robustness to variations in the way questions are asked, but only partially tests how well systems generalize to new queries; therefore, we propose a complementary dataset split for evaluation of future work.

SQL Parsing Text-To-Sql

TypeSQL: Knowledge-based Type-Aware Neural Text-to-SQL Generation

no code implementations NAACL 2018 Tao Yu, Zifan Li, Zilin Zhang, Rui Zhang, Dragomir Radev

Interacting with relational databases through natural language helps users of any background easily query and analyze a vast amount of data.

Slot Filling Text-To-Sql

A framework with updateable joint images re-ranking for Person Re-identification

no code implementations8 Mar 2018 Mingyue Yuan, Dong Yin, Jingwen Ding, Yuhao Luo, Zhipeng Zhou, Chengfeng Zhu, Rui Zhang

In this paper, we propose a novel framework with rules of updating images for person re-identification in real-world surveillance system.

Person Re-Identification Re-Ranking

#DebateNight: The Role and Influence of Socialbots on Twitter During the 1st 2016 U.S. Presidential Debate

2 code implementations27 Feb 2018 Marian-Andrei Rizoiu, Timothy Graham, Rui Zhang, Yifei Zhang, Robert Ackland, Lexing Xie

We collect a large dataset of tweets during the 1st U. S. Presidential Debate in 2016 (#DebateNight) and we analyze its 1. 5 million users from three perspectives: user influence, political behavior (partisanship and engagement) and botness.

Social and Information Networks

Collaborative Learning for Weakly Supervised Object Detection

no code implementations10 Feb 2018 Jiajie Wang, Jiangchao Yao, Ya zhang, Rui Zhang

For object detection, taking WSDDN-like architecture as weakly supervised detector sub-network and Faster-RCNN-like architecture as strongly supervised detector sub-network, we propose an end-to-end Weakly Supervised Collaborative Detection Network.

Weakly Supervised Object Detection

A Game-Theoretic Approach to Design Secure and Resilient Distributed Support Vector Machines

no code implementations7 Feb 2018 Rui Zhang, Quanyan Zhu

Distributed Support Vector Machines (DSVM) have been developed to solve large-scale classification problems in networked systems with a large number of sensors and control units.

Museum Exhibit Identification Challenge for Domain Adaptation and Beyond

no code implementations4 Feb 2018 Piotr Koniusz, Yusuf Tas, Hongguang Zhang, Mehrtash Harandi, Fatih Porikli, Rui Zhang

To achieve robust baselines, we build on a recent approach that aligns per-class scatter matrices of the source and target CNN streams [15].

Domain Adaptation Few-Shot Learning

Matrix completion with deterministic pattern - a geometric perspective

no code implementations31 Jan 2018 Alexander Shapiro, Yao Xie, Rui Zhang

We argue that this condition is necessary for local stability of MRMC solutions, and we show that the condition is generic using the characteristic rank.

Matrix Completion

Deep Learning from Noisy Image Labels with Quality Embedding

no code implementations2 Nov 2017 Jiangchao Yao, Jiajie Wang, Ivor Tsang, Ya zhang, Jun Sun, Chengqi Zhang, Rui Zhang

However, the label noise among the datasets severely degenerates the \mbox{performance of deep} learning approaches.

Game-Theoretic Design of Secure and Resilient Distributed Support Vector Machines with Adversaries

no code implementations12 Oct 2017 Rui Zhang, Quanyan Zhu

The Nash equilibrium of the game allows predicting the outcome of learning algorithms in adversarial environments, and enhancing the resilience of the machine learning through dynamic distributed learning algorithms.

Scale-Adaptive Convolutions for Scene Parsing

no code implementations ICCV 2017 Rui Zhang, Sheng Tang, Yongdong Zhang, Jintao Li, Shuicheng Yan

Through adding a new scale regression layer, we can dynamically infer the position-adaptive scale coefficients which are adopted to resize the convolutional patches.

Scene Parsing

Addressee and Response Selection in Multi-Party Conversations with Speaker Interaction RNNs

1 code implementation12 Sep 2017 Rui Zhang, Honglak Lee, Lazaros Polymenakos, Dragomir Radev

In this paper, we study the problem of addressee and response selection in multi-party conversations.

Consensus-Based Transfer Linear Support Vector Machines for Decentralized Multi-Task Multi-Agent Learning

no code implementations15 Jun 2017 Rui Zhang, Quanyan Zhu

We show that the risks of the target tasks in the nodes without the data of the source tasks can also be reduced using the information transferred from the nodes who contain the data of the source tasks.

Transfer Learning

Robust Tracking Using Region Proposal Networks

no code implementations30 May 2017 Jimmy Ren, ZHIYANG YU, Jianbo Liu, Rui Zhang, Wenxiu Sun, Jiahao Pang, Xiaohao Chen, Qiong Yan

Recent advances in visual tracking showed that deep Convolutional Neural Networks (CNN) trained for image classification can be strong feature extractors for discriminative trackers.

Feature Engineering General Classification +3

Improving Efficiency of SVM k-fold Cross-validation by Alpha Seeding

no code implementations23 Nov 2016 Zeyi Wen, Bin Li, Rao Kotagiri, Jian Chen, Yawen Chen, Rui Zhang

The k-fold cross-validation is commonly used to evaluate the effectiveness of SVMs with the selected hyper-parameters.

Dependency Sensitive Convolutional Neural Networks for Modeling Sentences and Documents

2 code implementations NAACL 2016 Rui Zhang, Honglak Lee, Dragomir Radev

Moreover, unlike other CNN-based models that analyze sentences locally by sliding windows, our system captures both the dependency information within each sentence and relationships across sentences in the same document.

General Classification Sentence Embeddings +2

TopicResponse: A Marriage of Topic Modelling and Rasch Modelling for Automatic Measurement in MOOCs

no code implementations29 Jul 2016 Jiazhen He, Benjamin I. P. Rubinstein, James Bailey, Rui Zhang, Sandra Milligan

This paper explores the suitability of using automatically discovered topics from MOOC discussion forums for modelling students' academic abilities.