Search Results for author: Wei Zhao

Found 105 papers, 40 papers with code

Evaluation of Coreference Resolution Systems Under Adversarial Attacks

no code implementations EMNLP (CODI) 2020 Haixia Chai, Wei Zhao, Steffen Eger, Michael Strube

A substantial overlap of coreferent mentions in the CoNLL dataset magnifies the recent progress on coreference resolution.


TUDa at WMT21: Sentence-Level Direct Assessment with Adapters

no code implementations WMT (EMNLP) 2021 Gregor Geigle, Jonas Stadtmüller, Wei Zhao, Jonas Pfeiffer, Steffen Eger

This paper presents our submissions to the WMT2021 Shared Task on Quality Estimation, Task 1 Sentence-Level Direct Assessment.


Trusted Multi-view Learning with Label Noise

no code implementations18 Apr 2024 Cai Xu, Yilin Zhang, Ziyu Guan, Wei Zhao

This motivates us to delve into a new generalized trusted multi-view learning problem: how to develop a reliable multi-view learning model under the guidance of noisy labels?


Cobra: Extending Mamba to Multi-Modal Large Language Model for Efficient Inference

1 code implementation21 Mar 2024 Han Zhao, Min Zhang, Wei Zhao, Pengxiang Ding, Siteng Huang, Donglin Wang

In recent years, the application of multimodal large language models (MLLM) in various fields has achieved remarkable success.

Language Modelling Large Language Model

Algorithmic Collusion and Price Discrimination: The Over-Usage of Data

no code implementations10 Mar 2024 Zhang Xu, Mingsheng Zhang, Wei Zhao

Under asymmetric information, the algorithm with information advantage adopts a Bait-and-Restrained-Exploit strategy, surrendering profits on some signals by setting higher prices, while exploiting limited profits on the remaining signals by setting much lower prices.


Reliable Conflictive Multi-View Learning

1 code implementation24 Feb 2024 Cai Xu, Jiajun Si, Ziyu Guan, Wei Zhao, Yue Wu, Xiyue Gao

To solve this, we point out a new Reliable Conflictive Multi-view Learning (RCML) problem, which requires the model to provide decision results and attached reliabilities for conflictive multi-view data.


NL2Formula: Generating Spreadsheet Formulas from Natural Language Queries

no code implementations20 Feb 2024 Wei Zhao, Zhitao Hou, Siyuan Wu, Yan Gao, Haoyu Dong, Yao Wan, Hongyu Zhang, Yulei Sui, Haidong Zhang

Writing formulas on spreadsheets, such as Microsoft Excel and Google Sheets, is a widespread practice among users performing data analysis.

Natural Language Queries

A Self-Healing Magnetic-Array-Type Current Sensor with Data-Driven Identification of Abnormal Magnetic Measurement Units

no code implementations18 Feb 2024 Xiaohu Liu, Wei Zhao, Kang Ma, Jian Liu, Lisha Peng, Songling Huang, Shisong Li

However, the susceptibility of the measurement error of one or more magnetic measurement units (MMUs) within the current sensor to drift significantly from the nominal value due to environmental factors poses a potential threat to the measurement accuracy of the current sensor. In light of the need to ensure sustained measurement accuracy over the long term, this paper proposes an innovative self-healing approach rooted in cyber-physics correlation.

Syntactic Language Change in English and German: Metrics, Parsers, and Convergences

1 code implementation18 Feb 2024 Yanran Chen, Wei Zhao, Anne Breitbarth, Manuel Stoeckel, Alexander Mehler, Steffen Eger

Even though we have evidence that recent parsers trained on modern treebanks are not heavily affected by data 'noise' such as spelling changes and OCR errors in our historic data, we find that results of syntactic language change are sensitive to the parsers involved, which is a caution against using a single parser for evaluating syntactic language change as done in previous work.

Optical Character Recognition (OCR) Sentence

Graph-based Clustering for Detecting Semantic Change Across Time and Languages

1 code implementation1 Feb 2024 Xianghe Ma, Michael Strube, Wei Zhao

To address this issue, we propose a graph-based clustering approach to capture nuanced changes in both high- and low-frequency word senses across time and languages, including the acquisition and loss of these senses over time.

Binary Classification Clustering +1

Mapping-to-Parameter Nonlinear Functional Regression with Novel B-spline Free Knot Placement Algorithm

no code implementations26 Jan 2024 Chengdong Shi, Ching-Hsun Tseng, Wei Zhao, Xiao-jun Zeng

We propose a novel approach to nonlinear functional regression, called the Mapping-to-Parameter function model, which addresses complex and nonlinear functional regression problems in parameter space by employing any supervised learning technique.


NodeMixup: Tackling Under-Reaching for Graph Neural Networks

1 code implementation20 Dec 2023 Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang, Long Jin

However, due to the uneven location distribution of labeled nodes in the graph, labeled nodes are only accessible to a small portion of unlabeled nodes, leading to the \emph{under-reaching} issue.

Node Classification

Causality Analysis for Evaluating the Security of Large Language Models

1 code implementation13 Dec 2023 Wei Zhao, Zhe Li, Jun Sun

Based on a layer-level causality analysis, we show that RLHF has the effect of overfitting a model to harmful prompts.

Normed Spaces for Graph Embedding

1 code implementation3 Dec 2023 Diaaeldin Taha, Wei Zhao, J. Maxwell Riestenberg, Michael Strube

Theoretical results from discrete geometry suggest that normed spaces can abstractly embed finite metric spaces with surprisingly low theoretical bounds on distortion in low dimensions.

Graph Embedding Graph Reconstruction +3

Breathing Life into Faces: Speech-driven 3D Facial Animation with Natural Head Pose and Detailed Shape

no code implementations31 Oct 2023 Wei Zhao, Yijun Wang, Tianyu He, Lianying Yin, Jianxin Lin, Xin Jin

To augment the richness of 3D facial animation, we construct a new 3D dataset with detailed shapes and learn to synthesize facial details in line with speech content.

Wafer Map Defect Patterns Semi-Supervised Classification Using Latent Vector Representation

no code implementations6 Oct 2023 Qiyu Wei, Wei Zhao, Xiaoyan Zheng, Zeng Zeng

In this paper, we propose a method that initially employs a pre-trained VAE model to obtain the fault distribution information of the wafer map.

Defect Detection

A Deeply Supervised Semantic Segmentation Method Based on GAN

no code implementations6 Oct 2023 Wei Zhao, Qiyu Wei, Zeng Zeng

In recent years, the field of intelligent transportation has witnessed rapid advancements, driven by the increasing demand for automation and efficiency in transportation systems.

Generative Adversarial Network Segmentation +2

Few-Shot Domain Adaptation for Charge Prediction on Unprofessional Descriptions

no code implementations29 Sep 2023 Jie Zhao, Ziyu Guan, Wei Zhao, Yue Jiang, Xiaofei He

Recent works considering professional legal-linguistic style (PLLS) texts have shown promising results on the charge prediction task.

Domain Adaptation

Efficient Rotating Synthetic Aperture Radar Imaging via Robust Sparse Array Synthesis

no code implementations14 Sep 2023 Wei Zhao, Cai Wen, Quan Yuan, Rong Zheng

Due to its non-linear track, the Back-Projection Algorithm (BPA) is commonly used to generate SAR images in ROSAR.

Masked Transformer for Electrocardiogram Classification

no code implementations31 Aug 2023 Ya Zhou, Xiaolin Diao, Yanni Huo, Yang Liu, Xiaohan Fan, Wei Zhao

We construct a dataset comprising 220, 251 ECG recordings with a broad range of diagnoses annoated by medical experts to explore the properties of MTECG.

Classification ECG Classification +1

Frequency-mixed Single-source Domain Generalization for Medical Image Segmentation

1 code implementation18 Jul 2023 Heng Li, Haojin Li, Wei Zhao, Huazhu Fu, Xiuyun Su, Yan Hu, Jiang Liu

Consequently, domain generalization (DG) is developed to boost the performance of segmentation models on unseen domains.

Domain Generalization Image Segmentation +3

Modeling Graphs Beyond Hyperbolic: Graph Neural Networks in Symmetric Positive Definite Matrices

1 code implementation24 Jun 2023 Wei Zhao, Federico Lopez, J. Maxwell Riestenberg, Michael Strube, Diaaeldin Taha, Steve Trettel

The uniform geometry of Euclidean and hyperbolic spaces allows for representing graphs with uniform geometric and topological features, such as grids and hierarchies, with minimal distortion.

Graph Classification

Towards Explainable Evaluation Metrics for Machine Translation

no code implementations22 Jun 2023 Christoph Leiter, Piyawat Lertvittayakumjorn, Marina Fomicheva, Wei Zhao, Yang Gao, Steffen Eger

In this context, we also discuss the latest state-of-the-art approaches to explainable metrics based on generative models such as ChatGPT and GPT4.

Machine Translation Translation

EMoG: Synthesizing Emotive Co-speech 3D Gesture with Diffusion Model

no code implementations20 Jun 2023 Lianying Yin, Yijun Wang, Tianyu He, Jinming Liu, Wei Zhao, Bohan Li, Xin Jin, Jianxin Lin

In this paper, we present a novel framework (EMoG) to tackle the above challenges with denoising diffusion models: 1) To alleviate the one-to-many problem, we incorporate emotion clues to guide the generation process, making the generation much easier; 2) To model joint correlation, we propose to decompose the difficult gesture generation into two sub-problems: joint correlation modeling and temporal dynamics modeling.

Denoising Gesture Generation

Learning Deep Intensity Field for Extremely Sparse-View CBCT Reconstruction

1 code implementation12 Mar 2023 Yiqun Lin, Zhongjin Luo, Wei Zhao, Xiaomeng Li

In this paper, we formulate the CT volume as a continuous intensity field and develop a novel DIF-Net to perform high-quality CBCT reconstruction from extremely sparse (fewer than 10) projection views at an ultrafast speed.

Prediction of single well production rate in water-flooding oil fields driven by the fusion of static, temporal and spatial information

no code implementations22 Feb 2023 Chao Min, Yijia Wang, Huohai Yang, Wei Zhao

In this study, a novel machine learning model is constructed to fuse the static geological information, dynamic well production history, and spatial information of the adjacent water injection wells.

Pseudo Contrastive Learning for Graph-based Semi-supervised Learning

no code implementations19 Feb 2023 Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang, Yuanhai Lv, Lining Xing, Baosheng Yu, DaCheng Tao

Pseudo Labeling is a technique used to improve the performance of semi-supervised Graph Neural Networks (GNNs) by generating additional pseudo-labels based on confident predictions.

Contrastive Learning Data Augmentation

PTA-Det: Point Transformer Associating Point cloud and Image for 3D Object Detection

no code implementations18 Jan 2023 Rui Wan, Tianyun Zhao, Wei Zhao

However, due to the intrinsic discrepancies between the LiDAR point and camera image, the fusion of the data for object detection encounters a series of problems.

3D Object Detection Autonomous Driving +2

1st Place Solution for ECCV 2022 OOD-CV Challenge Object Detection Track

no code implementations12 Jan 2023 Wei Zhao, Binbin Chen, WeiJie Chen, Shicai Yang, Di Xie, ShiLiang Pu, Yueting Zhuang

The domain adaptation part is implemented as a Source-Free Domain Adaptation paradigm, which only uses the pre-trained model and the unlabeled target data to further optimize in a self-supervised training manner.

Domain Generalization object-detection +3

Joint nnU-Net and Radiomics Approaches for Segmentation and Prognosis of Head and Neck Cancers with PET/CT images

no code implementations18 Nov 2022 Hui Xu, Yihao Li, Wei Zhao, Gwenolé Quellec, Lijun Lu, Mathieu Hatt

Then 3D nnU-Net architecture was adopted to automatic segmentation of primary tumor and lymph nodes synchronously. Based on predicted segmentation, ten conventional features and 346 standardized radiomics features were extracted for each patient.


A SVD-based Dynamic Harmonic Phasor Estimator with Improved Suppression of Out-of-Band Interference

no code implementations16 Nov 2022 Dongfang Zhao, Shisong Li, Fuping Wang, Wei Zhao, Songling Huang, Qing Wang

The diffusion of nonlinear loads and power electronic devices in power systems deteriorates the signal environment and increases the difficulty of measuring harmonic phasors.

Classifying Ambiguous Identities in Hidden-Role Stochastic Games with Multi-Agent Reinforcement Learning

1 code implementation24 Oct 2022 Shijie Han, Siyuan Li, Bo An, Wei Zhao, Peng Liu

In this work, we develop a novel identity detection reinforcement learning (IDRL) framework that allows an agent to dynamically infer the identities of nearby agents and select an appropriate policy to accomplish the task.

Multi-agent Reinforcement Learning reinforcement-learning +2

Self-supervised Heterogeneous Graph Pre-training Based on Structural Clustering

1 code implementation19 Oct 2022 Yaming Yang, Ziyu Guan, Zhe Wang, Wei Zhao, Cai Xu, Weigang Lu, Jianbin Huang

The two modules can effectively utilize and enhance each other, promoting the model to learn discriminative embeddings.


Entropy Induced Pruning Framework for Convolutional Neural Networks

no code implementations13 Aug 2022 Yiheng Lu, Ziyu Guan, Yaming Yang, Maoguo Gong, Wei Zhao, Kaiyuan Feng

By leveraging the proposed AFIE, the proposed framework is able to yield a stable importance evaluation of each filter no matter whether the original model is trained fully.

Image Classification

SBPF: Sensitiveness Based Pruning Framework For Convolutional Neural Network On Image Classification

no code implementations9 Aug 2022 Yiheng Lu, Maoguo Gong, Wei Zhao, Kaiyuan Feng, Hao Li

Therefore, we propose a sensitiveness based method to evaluate the importance of each layer from the perspective of inference accuracy by adding extra damage for the original model.

Image Classification

Learning Quality-aware Dynamic Memory for Video Object Segmentation

1 code implementation16 Jul 2022 Yong liu, Ran Yu, Fei Yin, Xinyuan Zhao, Wei Zhao, Weihao Xia, Yujiu Yang

However, they mainly focus on better matching between the current frame and the memory frames without explicitly paying attention to the quality of the memory.

Ranked #11 on Semi-Supervised Video Object Segmentation on DAVIS 2016 (using extra training data)

Segmentation Semantic Segmentation +2

Multi-Spatio-temporal Fusion Graph Recurrent Network for Traffic forecasting

no code implementations3 May 2022 Wei Zhao, Shiqi Zhang, Bing Zhou, Bei Wang

The network proposes a data-driven weighted adjacency matrix generation method to compensate for real-time spatial dependencies not reflected by the predefined adjacency matrix.

Management Time Series Analysis

Towards Explainable Evaluation Metrics for Natural Language Generation

1 code implementation21 Mar 2022 Christoph Leiter, Piyawat Lertvittayakumjorn, Marina Fomicheva, Wei Zhao, Yang Gao, Steffen Eger

We also provide a synthesizing overview over recent approaches for explainable machine translation metrics and discuss how they relate to those goals and properties.

Machine Translation Text Generation +2

STCGAT: A Spatio-temporal Causal Graph Attention Network for traffic flow prediction in Intelligent Transportation Systems

no code implementations21 Mar 2022 Wei Zhao, Shiqi Zhang, Bing Zhou, Bei Wang

Existing methods are usually based on graph neural networks using predefined spatial adjacency graphs of traffic networks to model spatial dependencies, ignoring the dynamic correlation of relationships between road nodes.

Less is More: Surgical Phase Recognition from Timestamp Supervision

1 code implementation16 Feb 2022 Xinpeng Ding, Xinjian Yan, Zixun Wang, Wei Zhao, Jian Zhuang, Xiaowei Xu, Xiaomeng Li

Our study uncovers unique insights of surgical phase recognition with timestamp supervisions: 1) timestamp annotation can reduce 74% annotation time compared with the full annotation, and surgeons tend to annotate those timestamps near the middle of phases; 2) extensive experiments demonstrate that our method can achieve competitive results compared with full supervision methods, while reducing manual annotation cost; 3) less is more in surgical phase recognition, i. e., less but discriminative pseudo labels outperform full but containing ambiguous frames; 4) the proposed UATD can be used as a plug and play method to clean ambiguous labels near boundaries between phases, and improve the performance of the current surgical phase recognition methods.

Surgical phase recognition

What Do They Capture? -- A Structural Analysis of Pre-Trained Language Models for Source Code

1 code implementation14 Feb 2022 Yao Wan, Wei Zhao, Hongyu Zhang, Yulei Sui, Guandong Xu, Hai Jin

In this paper, we conduct a thorough structural analysis aiming to provide an interpretation of pre-trained language models for source code (e. g., CodeBERT, and GraphCodeBERT) from three distinctive perspectives: (1) attention analysis, (2) probing on the word embedding, and (3) syntax tree induction.

Code Completion Code Search +1

Constrained Density Matching and Modeling for Cross-lingual Alignment of Contextualized Representations

no code implementations31 Jan 2022 Wei Zhao, Steffen Eger

Multilingual representations pre-trained with monolingual data exhibit considerably unequal task performances across languages.


DiscoScore: Evaluating Text Generation with BERT and Discourse Coherence

1 code implementation26 Jan 2022 Wei Zhao, Michael Strube, Steffen Eger

Still, recent BERT-based evaluation metrics are weak in recognizing coherence, and thus are not reliable in a way to spot the discourse-level improvements of those text generation systems.

Document Level Machine Translation Machine Translation +1

Bi-CLKT: Bi-Graph Contrastive Learning based Knowledge Tracing

no code implementations22 Jan 2022 XiangYu Song, JianXin Li, Qi Lei, Wei Zhao, Yunliang Chen, Ajmal Mian

The goal of Knowledge Tracing (KT) is to estimate how well students have mastered a concept based on their historical learning of related exercises.

Contrastive Learning Knowledge Tracing +1

SkipNode: On Alleviating Performance Degradation for Deep Graph Convolutional Networks

no code implementations22 Dec 2021 Weigang Lu, Yibing Zhan, Binbin Lin, Ziyu Guan, Liu Liu, Baosheng Yu, Wei Zhao, Yaming Yang, DaCheng Tao

In this paper, we conduct theoretical and experimental analysis to explore the fundamental causes of performance degradation in deep GCNs: over-smoothing and gradient vanishing have a mutually reinforcing effect that causes the performance to deteriorate more quickly in deep GCNs.

Link Prediction Node Classification

Voxelized 3D Feature Aggregation for Multiview Detection

1 code implementation7 Dec 2021 Jiahao Ma, Jinguang Tong, Shan Wang, Wei Zhao, Zicheng Duan, Chuong Nguyen

However, we find that these 2D transformations do not take into account the object's height, and with this neglection features along the vertical direction of same object are likely not projected onto the same ground plane point, leading to impure ground-plane features.

Multiview Detection

Better than Average: Paired Evaluation of NLP Systems

1 code implementation ACL 2021 Maxime Peyrard, Wei Zhao, Steffen Eger, Robert West

Evaluation in NLP is usually done by comparing the scores of competing systems independently averaged over a common set of test instances.

Constrained Density Matching and Modeling for Effective Contextualized Alignment

no code implementations29 Sep 2021 Wei Zhao, Steffen Eger

In this work, we analyze the limitations according to which previous alignments become very resource-intensive, \emph{viz.,} (i) the inability to sufficiently leverage data and (ii) that alignments are not trained properly.

Metal Artifact Reduction in 2D CT Images with Self-supervised Cross-domain Learning

no code implementations28 Sep 2021 Lequan Yu, Zhicheng Zhang, Xiaomeng Li, Hongyi Ren, Wei Zhao, Lei Xing

We then design a novel FBP reconstruction loss to encourage the network to generate more perfect completion results and a residual-learning-based image refinement module to reduce the secondary artifacts in the reconstructed CT images.

Image Reconstruction Metal Artifact Reduction

Cross-Site Severity Assessment of COVID-19 from CT Images via Domain Adaptation

no code implementations8 Sep 2021 Geng-Xin Xu, Chen Liu, Jun Liu, Zhongxiang Ding, Feng Shi, Man Guo, Wei Zhao, Xiaoming Li, Ying WEI, Yaozong Gao, Chuan-Xian Ren, Dinggang Shen

Particularly, we propose a domain translator and align the heterogeneous data to the estimated class prototypes (i. e., class centers) in a hyper-sphere manifold.

Computed Tomography (CT) Domain Adaptation +1

Aligning Cross-lingual Sentence Representations with Dual Momentum Contrast

no code implementations EMNLP 2021 Liang Wang, Wei Zhao, Jingming Liu

In this paper, we propose to align sentence representations from different languages into a unified embedding space, where semantic similarities (both cross-lingual and monolingual) can be computed with a simple dot product.

Semantic Textual Similarity Sentence +1

AP-10K: A Benchmark for Animal Pose Estimation in the Wild

4 code implementations28 Aug 2021 Hang Yu, Yufei Xu, Jing Zhang, Wei Zhao, Ziyu Guan, DaCheng Tao

The experimental results provide sound empirical evidence on the superiority of learning from diverse animals species in terms of both accuracy and generalization ability.

Animal Pose Estimation Domain Generalization +1

Graph Routing between Capsules

no code implementations22 Jun 2021 Yang Li, Wei Zhao, Erik Cambria, Suhang Wang, Steffen Eger

Therefore, in this paper, we introduce a new capsule network with graph routing to learn both relationships, where capsules in each layer are treated as the nodes of a graph.

Relation text-classification +1

Multi-Agent Cooperative Bidding Games for Multi-Objective Optimization in e-Commercial Sponsored Search

no code implementations8 Jun 2021 Ziyu Guan, Hongchang Wu, Qingyu Cao, Hao liu, Wei Zhao, Sheng Li, Cai Xu, Guang Qiu, Jian Xu, Bo Zheng

Although a few studies use multi-agent reinforcement learning to set up a cooperative game, they still suffer the following drawbacks: (1) They fail to avoid collusion solutions where all the advertisers involved in an auction collude to bid an extremely low price on purpose.

Model Optimization Multi-agent Reinforcement Learning

A Geometry-Informed Deep Learning Framework for Ultra-Sparse 3D Tomographic Image Reconstruction

no code implementations25 May 2021 Liyue Shen, Wei Zhao, Dante Capaldi, John Pauly, Lei Xing

Deep learning affords enormous opportunities to augment the armamentarium of biomedical imaging, albeit its design and implementation have potential flaws.

Image Reconstruction

Self-interpretable Convolutional Neural Networks for Text Classification

no code implementations18 May 2021 Wei Zhao, Rahul Singh, Tarun Joshi, Agus Sudjianto, Vijayan N. Nair

We also study the impact of the complexity of the convolutional layers and the classification layers on the model performance.

text-classification Text Classification

Importance Weighted Adversarial Discriminative Transfer for Anomaly Detection

1 code implementation14 May 2021 Cangning Fan, Fangyi Zhang, Peng Liu, Xiuyu Sun, Hao Li, Ting Xiao, Wei Zhao, Xianglong Tang

In this way, an obvious gap can be produced between the distributions of normal and abnormal data in the target domain, therefore enabling the anomaly detection in the domain.

Anomaly Detection valid

TransCT: Dual-path Transformer for Low Dose Computed Tomography

1 code implementation28 Feb 2021 Zhicheng Zhang, Lequan Yu, Xiaokun Liang, Wei Zhao, Lei Xing

Low dose computed tomography (LDCT) has attracted more and more attention in routine clinical diagnosis assessment, therapy planning, etc., which can reduce the dose of X-ray radiation to patients.

Structural Interventions in Networks

no code implementations29 Jan 2021 Yang Sun, Wei Zhao, Junjie Zhou

Two types of interventions are commonly implemented in networks: characteristic intervention, which influences individuals' intrinsic incentives, and structural intervention, which targets the social links among individuals.

A Two-Stage Wavelet Decomposition Method for Instantaneous Power Quality Indices Estimation Considering Interharmonics and Transient Disturbances

no code implementations10 Jan 2021 Yiqing Yu, Wei Zhao, Shisong Li, Songling Huang

As the complexity increases in modern power systems, power quality analysis considering interharmonics has become a challenging and important task.

Regularized Attentive Capsule Network for Overlapped Relation Extraction

no code implementations COLING 2020 Tianyi Liu, Xiangyu Lin, Weijia Jia, Mingliang Zhou, Wei Zhao

Distantly supervised relation extraction has been widely applied in knowledge base construction due to its less requirement of human efforts.

Relation Relation Extraction +1

SE-ECGNet: A Multi-scale Deep Residual Network with Squeeze-and-Excitation Module for ECG Signal Classification

1 code implementation10 Dec 2020 Haozhen Zhang, Wei Zhao, Shuang Liu

The classification of electrocardiogram (ECG) signals, which takes much time and suffers from a high rate of misjudgment, is recognized as an extremely challenging task for cardiologists.

Classification General Classification

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

Ape210K: A Large-Scale and Template-Rich Dataset of Math Word Problems

1 code implementation24 Sep 2020 Wei Zhao, Mingyue Shang, Yang Liu, Liang Wang, Jingming Liu

We propose a copy-augmented and feature-enriched sequence to sequence (seq2seq) model, which outperforms existing models by 3. 2% on the Math23K dataset and serves as a strong baseline of the Ape210K dataset.

Math Math Word Problem Solving +1

Contracting over persistent information

no code implementations12 Jul 2020 Wei Zhao, Claudio Mezzetti, Ludovic Renou, Tristan Tomala

We consider a dynamic moral hazard problem between a principal and an agent, where the sole instrument the principal has to incentivize the agent is the disclosure of information.

Sapphire: Automatic Configuration Recommendation for Distributed Storage Systems

no code implementations7 Jul 2020 Wenhao Lyu, Youyou Lu, Jiwu Shu, Wei Zhao

Modern distributed storage systems come with aplethora of configurable parameters that controlmodule behavior and affect system performance.

BIG-bench Machine Learning

Interpretable and Efficient Heterogeneous Graph Convolutional Network

1 code implementation27 May 2020 Yaming Yang, Ziyu Guan, Jian-Xin Li, Wei Zhao, Jiangtao Cui, Quan Wang

However, regarding Heterogeneous Information Network (HIN), existing HIN-oriented GCN methods still suffer from two deficiencies: (1) they cannot flexibly explore all possible meta-paths and extract the most useful ones for a target object, which hinders both effectiveness and interpretability; (2) they often need to generate intermediate meta-path based dense graphs, which leads to high computational complexity.


Synergistic Learning of Lung Lobe Segmentation and Hierarchical Multi-Instance Classification for Automated Severity Assessment of COVID-19 in CT Images

no code implementations8 May 2020 Kelei He, Wei Zhao, Xingzhi Xie, Wen Ji, Mingxia Liu, Zhenyu Tang, Feng Shi, Yang Gao, Jun Liu, Junfeng Zhang, Dinggang Shen

Considering that only a few infection regions in a CT image are related to the severity assessment, we first represent each input image by a bag that contains a set of 2D image patches (with each cropped from a specific slice).


On the Limitations of Cross-lingual Encoders as Exposed by Reference-Free Machine Translation Evaluation

1 code implementation ACL 2020 Wei Zhao, Goran Glavaš, Maxime Peyrard, Yang Gao, Robert West, Steffen Eger

We systematically investigate a range of metrics based on state-of-the-art cross-lingual semantic representations obtained with pretrained M-BERT and LASER.

Language Modelling Machine Translation +4

COVID-19 Chest CT Image Segmentation -- A Deep Convolutional Neural Network Solution

no code implementations23 Apr 2020 Qingsen Yan, Bo wang, Dong Gong, Chuan Luo, Wei Zhao, Jianhu Shen, Qinfeng Shi, Shuo Jin, Liang Zhang, Zheng You

Inspired by the observation that the boundary of the infected lung can be enhanced by adjusting the global intensity, in the proposed deep CNN, we introduce a feature variation block which adaptively adjusts the global properties of the features for segmenting COVID-19 infection.

Computed Tomography (CT) Image Segmentation +3

Severity Assessment of Coronavirus Disease 2019 (COVID-19) Using Quantitative Features from Chest CT Images

no code implementations26 Mar 2020 Zhenyu Tang, Wei Zhao, Xingzhi Xie, Zheng Zhong, Feng Shi, Jun Liu, Dinggang Shen

Purpose: Using machine learning method to realize automatic severity assessment (non-severe or severe) of COVID-19 based on chest CT images, and to explore the severity-related features from the resulting assessment model.

Computed Tomography (CT)

Noise control and utility: from regulatory network to spatial patterning

no code implementations19 Jan 2020 Qing Nie, Lingxia Qiao, Yuchi Qiu, Lei Zhang, Wei Zhao

Stochasticity (or noise) at cellular and molecular levels has been observed extensively as a universal feature for living systems.

Denoising based Sequence-to-Sequence Pre-training for Text Generation

no code implementations IJCNLP 2019 Liang Wang, Wei Zhao, Ruoyu Jia, Sujian Li, Jingming Liu

This paper presents a new sequence-to-sequence (seq2seq) pre-training method PoDA (Pre-training of Denoising Autoencoders), which learns representations suitable for text generation tasks.

Abstractive Text Summarization Denoising +2

IntentGC: a Scalable Graph Convolution Framework Fusing Heterogeneous Information for Recommendation

1 code implementation24 Jul 2019 Jun Zhao, Zhou Zhou, Ziyu Guan, Wei Zhao, Wei Ning, Guang Qiu, Xiaofei He

In this work, we collect abundant relationships from common user behaviors and item information, and propose a novel framework named IntentGC to leverage both explicit preferences and heterogeneous relationships by graph convolutional networks.

Network Embedding

Towards Scalable and Reliable Capsule Networks for Challenging NLP Applications

5 code implementations ACL 2019 Wei Zhao, Haiyun Peng, Steffen Eger, Erik Cambria, Min Yang

Obstacles hindering the development of capsule networks for challenging NLP applications include poor scalability to large output spaces and less reliable routing processes.

 Ranked #1 on Text Classification on RCV1 (P@1 metric)

General Classification Multi-Label Text Classification +1

Time-sync Video Tag Extraction Using Semantic Association Graph

no code implementations3 May 2019 Wenmian Yang, Kun Wang, Na Ruan, Wenyuan Gao, Weijia Jia, Wei Zhao, Nan Liu, Yunyong Zhang

Finally, we gain the weight of each word by combining Semantic Weight (SW) and Inverse Document Frequency (IDF).


Vector and Line Quantization for Billion-scale Similarity Search on GPUs

1 code implementation2 Jan 2019 Wei Chen, Jincai Chen, Fuhao Zou, Yuan-Fang Li, Ping Lu, Qiang Wang, Wei Zhao

The inverted index structure is amenable to GPU-based implementations, and the state-of-the-art systems such as Faiss are able to exploit the massive parallelism offered by GPUs.


Fast Dynamic Routing Based on Weighted Kernel Density Estimation

3 code implementations28 May 2018 Suofei Zhang, Wei Zhao, Xiaofu Wu, Quan Zhou

Capsules as well as dynamic routing between them are most recently proposed structures for deep neural networks.

Density Estimation Image Classification

IoT Security: An End-to-End View and Case Study

no code implementations15 May 2018 Zhen Ling, Kaizheng Liu, Yiling Xu, Chao GAO, Yier Jin, Cliff Zou, Xinwen Fu, Wei Zhao

The work in this paper raises the alarm again for the IoT device manufacturers to better secure their products in order to prevent malware attacks like Mirai.

Cryptography and Security

Security Consideration For Deep Learning-Based Image Forensics

no code implementations29 Mar 2018 Wei Zhao, Pengpeng Yang, Rongrong Ni, Yao Zhao, Haorui Wu

Instead of improving it, in this paper, the safety of deep learning based methods in the field of image forensics is taken into account.

Image Forensics

Identifying and Tracking Sentiments and Topics from Social Media Texts during Natural Disasters

no code implementations EMNLP 2017 Min Yang, Jincheng Mei, Heng Ji, Wei Zhao, Zhou Zhao, Xiaojun Chen

We study the problem of identifying the topics and sentiments and tracking their shifts from social media texts in different geographical regions during emergencies and disasters.

Topic Models

Source Camera Identification Based On Content-Adaptive Fusion Network

no code implementations15 Mar 2017 Pengpeng Yang, Wei Zhao, Rongrong Ni, Yao Zhao

In this paper, we propose a solution to identify the source camera of the small-size images: content-adaptive fusion network.

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