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.
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.
1 code implementation • 21 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.
no code implementations • 10 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.
no code implementations • 4 Mar 2024 • Youfang Han, Wei Zhao, Xiangjin Chen, Xin Meng
The accuracy of the proposed SNN is 83. 85% and 93. 52% on the two datasets respectively.
1 code implementation • 24 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.
no code implementations • 20 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.
no code implementations • 18 Feb 2024 • Yanran Chen, Wei Zhao, Anne Breitbarth, Manuel Stoeckel, Alexander Mehler, Steffen Eger
Many studies have shown that human languages tend to optimize for lower complexity and increased communication efficiency.
no code implementations • 18 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.
1 code implementation • 1 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.
no code implementations • 26 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.
1 code implementation • 26 Dec 2023 • Weisong Sun, Chunrong Fang, Yudu You, Yuchen Chen, Yi Liu, Chong Wang, Jian Zhang, Quanjun Zhang, Hanwei Qian, Wei Zhao, Yang Liu, Zhenyu Chen
PromptCS trains a prompt agent that can generate continuous prompts to unleash the potential for LLMs in code summarization.
1 code implementation • 20 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.
no code implementations • 14 Dec 2023 • Yibo Zhao, Liang Peng, Yang Yang, Zekai Luo, Hengjia Li, Yao Chen, Wei Zhao, Qinglin Lu, Boxi Wu, Wei Liu
In this paper, we introduce a new simple yet practical task setting: local control.
1 code implementation • 13 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.
1 code implementation • 3 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.
no code implementations • 31 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.
no code implementations • 8 Oct 2023 • Tianyang Zhong, Wei Zhao, Yutong Zhang, Yi Pan, Peixin Dong, Zuowei Jiang, Xiaoyan Kui, Youlan Shang, Li Yang, Yaonai Wei, Longtao Yang, Hao Chen, Huan Zhao, Yuxiao Liu, Ning Zhu, Yiwei Li, Yisong Wang, Jiaqi Yao, Jiaqi Wang, Ying Zeng, Lei He, Chao Zheng, Zhixue Zhang, Ming Li, Zhengliang Liu, Haixing Dai, Zihao Wu, Lu Zhang, Shu Zhang, Xiaoyan Cai, Xintao Hu, Shijie Zhao, Xi Jiang, Xin Zhang, Xiang Li, Dajiang Zhu, Lei Guo, Dinggang Shen, Junwei Han, Tianming Liu, Jun Liu, Tuo Zhang
Radiology report generation, as a key step in medical image analysis, is critical to the quantitative analysis of clinically informed decision-making levels.
no code implementations • 6 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.
no code implementations • 6 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.
no code implementations • 29 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.
no code implementations • 14 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.
no code implementations • 31 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.
1 code implementation • 18 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.
1 code implementation • 24 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.
no code implementations • 22 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.
no code implementations • 20 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.
no code implementations • 13 Jun 2023 • Yan Shi, Yao Tian, Chengwei Tong, Chunyan Zhu, Qianqian Li, Mengzhu Zhang, Wei Zhao, Yong Liao, Pengyuan Zhou
Social network plays an important role in propagating people's viewpoints, emotions, thoughts, and fears.
1 code implementation • 12 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.
no code implementations • 22 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.
no code implementations • 19 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.
no code implementations • 18 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.
no code implementations • 12 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.
no code implementations • 18 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.
no code implementations • 16 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.
1 code implementation • 24 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
1 code implementation • 19 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.
no code implementations • 13 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.
no code implementations • 9 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.
1 code implementation • 16 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)
no code implementations • 3 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.
1 code implementation • 21 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.
no code implementations • 21 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.
1 code implementation • ACL 2022 • Liang Wang, Wei Zhao, Zhuoyu Wei, Jingming Liu
Knowledge graph completion (KGC) aims to reason over known facts and infer the missing links.
Ranked #2 on Link Prediction on WN18RR
1 code implementation • 16 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.
1 code implementation • 14 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.
no code implementations • 31 Jan 2022 • Wei Zhao, Steffen Eger
Multilingual representations pre-trained with monolingual data exhibit considerably unequal task performances across languages.
1 code implementation • 26 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.
no code implementations • 22 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.
no code implementations • 22 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.
no code implementations • 17 Dec 2021 • Qian Chen, Haoxin Bai, Bingchen Che, Tianyun Zhao, Ce Zhang, Kaige Wang, Jintao Bai, Wei Zhao
To date, live-cell imaging at the nanometer scale remains challenging.
1 code implementation • 7 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.
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.
1 code implementation • EMNLP (Eval4NLP) 2021 • Marina Fomicheva, Piyawat Lertvittayakumjorn, Wei Zhao, Steffen Eger, Yang Gao
In this paper, we introduce the Eval4NLP-2021shared task on explainable quality estimation.
1 code implementation • EMNLP 2021 • Marvin Kaster, Wei Zhao, Steffen Eger
Evaluation metrics are a key ingredient for progress of text generation systems.
no code implementations • 29 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.
no code implementations • 28 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.
no code implementations • 8 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.
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.
4 code implementations • 28 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.
no code implementations • 22 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.
no code implementations • 8 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.
no code implementations • 25 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.
no code implementations • 18 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.
1 code implementation • 14 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.
1 code implementation • 28 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.
no code implementations • 7 Feb 2021 • Zekun Li, Wei Zhao, Feng Shi, Lei Qi, Xingzhi Xie, Ying WEI, Zhongxiang Ding, Yang Gao, Shangjie Wu, Jun Liu, Yinghuan Shi, Dinggang Shen
How to fast and accurately assess the severity level of COVID-19 is an essential problem, when millions of people are suffering from the pandemic around the world.
no code implementations • 29 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.
no code implementations • 10 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.
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.
1 code implementation • 10 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.
no code implementations • 29 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
no code implementations • Findings of the Association for Computational Linguistics 2020 • Pengshuai Li, Xinsong Zhang, Weijia Jia, Wei Zhao
Distant supervision has been a widely used method for neural relation extraction for its convenience of automatically labeling datasets.
1 code implementation • 24 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.
no code implementations • 26 Aug 2020 • Wei Zhao, Tarun Joshi, Vijayan N. Nair, Agus Sudjianto
Deep neural networks are increasingly used in natural language processing (NLP) models.
1 code implementation • Joint Conference on Lexical and Computational Semantics 2021 • Wei Zhao, Steffen Eger, Johannes Bjerva, Isabelle Augenstein
Cross-lingual representations have the potential to make NLP techniques available to the vast majority of languages in the world.
no code implementations • 12 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.
no code implementations • 7 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.
1 code implementation • 27 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.
no code implementations • 8 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).
1 code implementation • ACL 2020 • Yang Gao, Wei Zhao, Steffen Eger
Compared to the state-of-the-art unsupervised evaluation metrics, SUPERT correlates better with human ratings by 18-39%.
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.
no code implementations • 23 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.
no code implementations • 26 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.
no code implementations • 19 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.
no code implementations • IEEE Transactions on Cybernetics 2020 • Wei Zhao, Benyou Wang, Min Yang, Jianbo Ye, Zhou Zhao, Xiaojun Chen, and Ying Shen
Movie recommendation systems provide users with ranked lists of movies based on individual’s preferences and constraints.
4 code implementations • IJCNLP 2019 • Wei Zhao, Maxime Peyrard, Fei Liu, Yang Gao, Christian M. Meyer, Steffen Eger
A robust evaluation metric has a profound impact on the development of text generation systems.
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.
1 code implementation • 24 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.
no code implementations • 24 Jul 2019 • Wei Zhao, Boxuan Zhang, Beidou Wang, Ziyu Guan, Wanxian Guan, Guang Qiu, Wei Ning, Jiming Chen, Hongmin Liu
(2) It is difficult to obtain users' explicit feedback of their preference in product features.
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)
no code implementations • 3 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).
6 code implementations • NAACL 2019 • Wei Zhao, Liang Wang, Kewei Shen, Ruoyu Jia, Jingming Liu
It is the first time copying words from the source context and fully pre-training a sequence to sequence model are experimented on the GEC task.
Ranked #4 on Grammatical Error Correction on JFLEG
1 code implementation • 2 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.
no code implementations • COLING 2018 • Liang Wang, Sujian Li, Wei Zhao, Kewei Shen, Meng Sun, Ruoyu Jia, Jingming Liu
Cloze-style reading comprehension has been a popular task for measuring the progress of natural language understanding in recent years.
no code implementations • COLING 2018 • Min Yang, Qiang Qu, Ying Shen, Qiao Liu, Wei Zhao, Jia Zhu
Review text has been widely studied in traditional tasks such as sentiment analysis and aspect extraction.
3 code implementations • 28 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.
Ranked #5 on Image Classification on smallNORB
no code implementations • 15 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
4 code implementations • EMNLP 2018 • Wei Zhao, Jianbo Ye, Min Yang, Zeyang Lei, Suofei Zhang, Zhou Zhao
In this study, we explore capsule networks with dynamic routing for text classification.
Ranked #7 on Sentiment Analysis on MR
no code implementations • 29 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.
2 code implementations • SEMEVAL 2018 • Liang Wang, Meng Sun, Wei Zhao, Kewei Shen, Jingming Liu
This paper describes our system for SemEval-2018 Task 11: Machine Comprehension using Commonsense Knowledge.
no code implementations • 1 Mar 2018 • Jun Zhao, Guang Qiu, Ziyu Guan, Wei Zhao, Xiaofei He
In this paper, we consider the RTB problem in sponsored search auction, named SS-RTB.
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.
no code implementations • 15 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.