no code implementations • CCL 2020 • Li Song, Ying Liu
《水浒传》是独著还是合著, 施耐庵和罗贯中是何关系一直存在争议。本文将其作者争议粗略归纳为施耐庵作、罗贯中作、施作罗续、罗作他续、施作罗改五种情况, 以罗贯中的《平妖传》为参照, 用假设检验、文本聚类、文本分类、波动风格计量等方法, 结合对文本内容的分析, 考察《水浒传》的写作风格, 试图为其作者身份认定提供参考。结果显示, 只有罗作他续的可能性大, 即前70回为罗贯中所作, 后由他人续写, 其他四种情况可能性都较小。
no code implementations • COLING 2022 • Xiao Song, Xiaodan Zhang, Junzhong Ji, Ying Liu, Pengxu Wei
Medical report automatic generation has gained increasing interest recently as a way to help radiologists write reports more efficiently.
no code implementations • CCL 2021 • Shenglong Zhang, Ying Liu, Yanjun Ma
“隐喻是人类语言中经常出现的一种特殊现象, 隐喻识别对于自然语言处理各项任务来说具有十分基础和重要的意义。针对中文领域的隐喻识别任务, 我们提出了一种基于句法感知图卷积神经网络和ELECTRA的隐喻识别模型(Syntax-aware GCN withELECTRA SaGE)。该模型从语言学出发, 使用ELECTRA和Transformer编码器抽取句子的语义特征, 将句子按照依存关系组织成一张图并使用图卷积神经网络抽取其句法特征, 在此基础上对两类特征进行融合以进行隐喻识别。我们的模型在CCL2018中文隐喻识别评测数据集上以85. 22%的宏平均F1分数超越了此前的最佳成绩, 验证了融合语义信息和句法信息对于隐喻识别任务具有重要作用。”
1 code implementation • COLING 2022 • Shenglong Zhang, Ying Liu
In this paper we present MisNet, a novel model for word level metaphor detection.
no code implementations • EMNLP 2020 • Haiyan Wu, Ying Liu, Shaoyun Shi
In existing works, aggregating on a syntax tree usually considers local information of sub-trees.
no code implementations • CCL 2022 • Mengqing Guo, Jiali Li, Jishun Zhao, Shucheng Zhu, Ying Liu, Pengyuan Liu
“尽管悲观者认为, 职场中永远不可能存在性别平等。但随着人们观念的转变, 愈来愈多的人们相信, 职业的选择应只与个人能力相匹配, 而不应由个体的性别决定。目前已经发现自然语言处理的各个任务中都存在着职业性别偏见。但这些研究往往只针对特定的英文任务, 缺乏针对中文的、综合多任务的职业性别偏见测量研究。本文基于霍兰德职业模型, 从中文自然语言处理中常见的三个任务出发, 测量了词向量、共指消解和文本生成中的职业性别偏见, 发现不同任务中的职业性别偏见既有一定的共性, 又存在着独特的差异性。总体来看, 不同任务中的职业性别偏见反映了现实生活中人们对于不同性别所选择职业的刻板印象。此外, 在设计不同任务的偏见测量指标时, 还需要考虑如语体、词序等语言学要素的影响。”
no code implementations • NAACL (GeBNLP) 2022 • Jiali Li, Shucheng Zhu, Ying Liu, Pengyuan Liu
The results reveal that these grammatical gender-neutral Chinese word embeddings show a certain gender bias, which is consistent with the mainstream society’s perception and judgment of gender.
1 code implementation • 26 Apr 2024 • Meng Yan, Haibin Huang, Ying Liu, Juan Zhao, Xiyue Gao, Cai Xu, Ziyu Guan, Wei Zhao
In addition, we design a trustworthy decision mechanism that integrates subjective user perspective and objective item perspective to dynamically evaluate the uncertainty of prediction results.
no code implementations • 20 Apr 2024 • Jiaqi Wang, Mengtian Kang, Yong liu, Chi Zhang, Ying Liu, Shiming Li, Yue Qi, Wenjun Xu, Chenyu Tang, Edoardo Occhipinti, Mayinuer Yusufu, Ningli Wang, Weiling Bai, Shuo Gao, Luigi G. Occhipinti
Machine learning-based fundus image diagnosis technologies trigger worldwide interest owing to their benefits such as reducing medical resource power and providing objective evaluation results.
no code implementations • 20 Apr 2024 • Yong liu, Mengtian Kang, Shuo Gao, Chi Zhang, Ying Liu, Shiming Li, Yue Qi, Arokia Nathan, Wenjun Xu, Chenyu Tang, Edoardo Occhipinti, Mayinuer Yusufu, Ningli Wang, Weiling Bai, Luigi Occhipinti
Fundus diseases are major causes of visual impairment and blindness worldwide, especially in underdeveloped regions, where the shortage of ophthalmologists hinders timely diagnosis.
1 code implementation • 15 Apr 2024 • Zheng Chen, Zongwei Wu, Eduard Zamfir, Kai Zhang, Yulun Zhang, Radu Timofte, Xiaokang Yang, Hongyuan Yu, Cheng Wan, Yuxin Hong, Zhijuan Huang, Yajun Zou, Yuan Huang, Jiamin Lin, Bingnan Han, Xianyu Guan, Yongsheng Yu, Daoan Zhang, Xuanwu Yin, Kunlong Zuo, Jinhua Hao, Kai Zhao, Kun Yuan, Ming Sun, Chao Zhou, Hongyu An, Xinfeng Zhang, Zhiyuan Song, Ziyue Dong, Qing Zhao, Xiaogang Xu, Pengxu Wei, Zhi-chao Dou, Gui-ling Wang, Chih-Chung Hsu, Chia-Ming Lee, Yi-Shiuan Chou, Cansu Korkmaz, A. Murat Tekalp, Yubin Wei, Xiaole Yan, Binren Li, Haonan Chen, Siqi Zhang, Sihan Chen, Amogh Joshi, Nikhil Akalwadi, Sampada Malagi, Palani Yashaswini, Chaitra Desai, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi, Anjali Sarvaiya, Pooja Choksy, Jagrit Joshi, Shubh Kawa, Kishor Upla, Sushrut Patwardhan, Raghavendra Ramachandra, Sadat Hossain, Geongi Park, S. M. Nadim Uddin, Hao Xu, Yanhui Guo, Aman Urumbekov, Xingzhuo Yan, Wei Hao, Minghan Fu, Isaac Orais, Samuel Smith, Ying Liu, Wangwang Jia, Qisheng Xu, Kele Xu, Weijun Yuan, Zhan Li, Wenqin Kuang, Ruijin Guan, Ruting Deng, Zhao Zhang, Bo wang, Suiyi Zhao, Yan Luo, Yanyan Wei, Asif Hussain Khan, Christian Micheloni, Niki Martinel
This paper reviews the NTIRE 2024 challenge on image super-resolution ($\times$4), highlighting the solutions proposed and the outcomes obtained.
no code implementations • 12 Mar 2024 • Ying Liu, Liucheng Guo, Valeri A. Makarovc, Alexander Gorbana, Evgeny Mirkesa, Ivan Y. Tyukin
Automated hand gesture recognition has long been a focal point in the AI community.
no code implementations • 3 Mar 2024 • Zhu Liu, Cunliang Kong, Ying Liu, Maosong Sun
Large language models have achieved remarkable success in general language understanding tasks.
no code implementations • 22 Dec 2023 • Yin Luo, Qingchao Kong, Nan Xu, Jia Cao, Bao Hao, Baoyu Qu, Bo Chen, Chao Zhu, Chenyang Zhao, Donglei Zhang, Fan Feng, Feifei Zhao, Hailong Sun, Hanxuan Yang, Haojun Pan, Hongyu Liu, Jianbin Guo, Jiangtao Du, Jingyi Wang, Junfeng Li, Lei Sun, Liduo Liu, Lifeng Dong, Lili Liu, Lin Wang, Liwen Zhang, Minzheng Wang, Pin Wang, Ping Yu, Qingxiao Li, Rui Yan, Rui Zou, Ruiqun Li, Taiwen Huang, Xiaodong Wang, Xiaofei Wu, Xin Peng, Xina Zhang, Xing Fang, Xinglin Xiao, Yanni Hao, Yao Dong, Yigang Wang, Ying Liu, Yongyu Jiang, Yungan Wang, Yuqi Wang, Zhangsheng Wang, Zhaoxin Yu, Zhen Luo, Wenji Mao, Lei Wang, Dajun Zeng
As the latest advancements in natural language processing, large language models (LLMs) have achieved human-level language understanding and generation abilities in many real-world tasks, and even have been regarded as a potential path to the artificial general intelligence.
no code implementations • 3 Dec 2023 • Ying Liu, Peng Cui, WenBo Hu, Richang Hong
Score-based diffusion method(i. e., CSDI) is effective for the time series imputation task but computationally expensive due to the nature of the generative diffusion model framework.
no code implementations • 23 Oct 2023 • Ying Liu, Haozhu Wang, Huixue Zhou, Mingchen Li, Yu Hou, Sicheng Zhou, Fang Wang, Rama Hoetzlein, Rui Zhang
It has gained significant attention in the field of Natural Language Processing (NLP) due to its ability to learn optimal strategies for tasks such as dialogue systems, machine translation, and question-answering.
no code implementations • 18 Aug 2023 • Junhui Liang, Ying Liu, Vladimir Vlassov
Fashion understanding is a hot topic in computer vision, with many applications having great business value in the market.
no code implementations • 14 Jul 2023 • Guoyun Tu, Ying Liu, Vladimir Vlassov
We have tested and evaluated our AICAB NET on the MS COCO dataset and a new proposed Fashion dataset.
1 code implementation • 26 May 2023 • Shenglong Zhang, Ying Liu
We leverage adversarial training to align the data distributions of MD and BSD in the same feature space, so task-invariant representations can be learned.
1 code implementation • 22 May 2023 • Zhu Liu, Ying Liu
Word sense disambiguation (WSD), which aims to determine an appropriate sense for a target word given its context, is crucial for natural language understanding.
no code implementations • 12 May 2023 • Ying Liu, Liucheng Guo, Valeri A. Makarov, Yuxiang Huang, Alexander Gorban, Evgeny Mirkes, Ivan Y. Tyukin
However, there is growing demand for gesture recognition technology that can be implemented on low-power devices using limited sensor data instead of high-dimensional inputs like hand images.
no code implementations • 13 Jul 2022 • Yiting Lu, Jun Fu, Xin Li, Wei Zhou, Sen Liu, Xinxin Zhang, Congfu Jia, Ying Liu, Zhibo Chen
Therefore, we propose a Progressive Reinforcement learning based Instance Discarding module (termed as PRID) to progressively remove quality-irrelevant/negative instances for CCTA VIQA.
no code implementations • 6 May 2022 • Ruitao Zhang, Xueying Han, Ijaz Gul, Shiyao Zhai, Ying Liu, Yongbing Zhang, Yuhan Dong, Lan Ma, Dongmei Yu, Jin Zhou, Peiwu Qin
Although testing on the CAR-T cells dataset, a decent performance is observed, which is attributed to the limited size of the dataset.
no code implementations • 9 Feb 2022 • Young-geun Kim, Ying Liu, XueXin Wei
Though the identifiability is appealing, we show that iVAEs could have local minimum solution where observations and the approximated ICs are independent given covariates.-a phenomenon we referred to as the posterior collapse problem of iVAEs.
1 code implementation • 11 Jan 2022 • Yu Zhao, Huaming Du, Ying Liu, Shaopeng Wei, Xingyan Chen, Fuzhen Zhuang, Qing Li, Ji Liu, Gang Kou
Stock Movement Prediction (SMP) aims at predicting listed companies' stock future price trend, which is a challenging task due to the volatile nature of financial markets.
1 code implementation • 20 Dec 2021 • Mingwei Zhang, Jiayuan Liu, Weipu Zhang, Ke Deng, Hai Dong, Ying Liu
We propose a novel software service recommendation model to help users find their suitable repositories in GitHub.
no code implementations • 11 Dec 2021 • Mengqiu Liu, Ying Liu, Yidong Yang, Aiping Liu, Shana Li, Changbing Qu, Xiaohui Qiu, Yang Li, Weifu Lv, Peng Zhang, Jie Wen
Correlations between imaging findings and clinical lab tests suggested the value of this system as a potential tool to assess disease severity of COVID-19.
no code implementations • 6 Dec 2021 • Yichen Zhu, Weibin Meng, Ying Liu, Shenglin Zhang, Tao Han, Shimin Tao, Dan Pei
UniLog: Deploy One Model and Specialize it for All Log Analysis Tasks
no code implementations • 2 Dec 2021 • Xin Tang, Yongquan Lai, Ying Liu, Yuanyuan Fu, Rui Fang
In this work, we propose to model semantic and visual information jointly with a Visual-Semantic Transformer (VST).
no code implementations • 23 Nov 2021 • Chengyijue Fang, Yingao Liu, Mengqiu Liu, Xiaohui Qiu, Ying Liu, Yang Li, Jie Wen, Yidong Yang
The lung volume volume was firstly delineated using a pre-trained U-net and worked as the input for the later network.
1 code implementation • 27 Oct 2021 • Zhongling Huang, Xiwen Yao, Ying Liu, Corneliu Octavian Dumitru, Mihai Datcu, Junwei Han
In this paper, we first propose a novel physically explainable convolutional neural network for SAR image classification, namely physics guided and injected learning (PGIL).
no code implementations • 31 May 2021 • Lu Xu, Yuwei Zhang, Ying Liu, Daoye Wang, Mu Zhou, Jimmy Ren, Jingwei Wei, Zhaoxiang Ye
Low-dose CT has been a key diagnostic imaging modality to reduce the potential risk of radiation overdose to patient health.
2 code implementations • 12 May 2021 • Xiongwei Wu, Xin Fu, Ying Liu, Ee-Peng Lim, Steven C. H. Hoi, Qianru Sun
Existing food image segmentation models are underperforming due to two reasons: (1) there is a lack of high quality food image datasets with fine-grained ingredient labels and pixel-wise location masks -- the existing datasets either carry coarse ingredient labels or are small in size; and (2) the complex appearance of food makes it difficult to localize and recognize ingredients in food images, e. g., the ingredients may overlap one another in the same image, and the identical ingredient may appear distinctly in different food images.
Ranked #3 on Semantic Segmentation on FoodSeg103 (using extra training data)
1 code implementation • Findings (EMNLP) 2021 • Song Xu, Haoran Li, Peng Yuan, Yujia Wang, Youzheng Wu, Xiaodong He, Ying Liu, BoWen Zhou
K-PLUG achieves new state-of-the-art results on a suite of domain-specific NLP tasks, including product knowledge base completion, abstractive product summarization, and multi-turn dialogue, significantly outperforms baselines across the board, which demonstrates that the proposed method effectively learns a diverse set of domain-specific knowledge for both language understanding and generation tasks.
no code implementations • 22 Feb 2021 • Mingmin Zhong, Ying Liu, Feng Zhou, Minquan Kuang, Tie Yang, Xiaotian Wang, Gang Zhang
However, these materials are uncommon because these excitations in electronic systems are usually broken by spin-orbit coupling (SOC) and normally far from the Fermi level.
Materials Science
no code implementations • 5 Jan 2021 • Qi Zeng, Ying Liu, Liming Pan, Ming Tang
Our work provides insights on the importance of nodes in the multiplex network and gives a feasible framework to investigate influential spreaders in the asymmetrically coevolving dynamics.
Physics and Society
1 code implementation • 1 Jan 2021 • Song Xu, Haoran Li, Peng Yuan, Yujia Wang, Youzheng Wu, Xiaodong He, Ying Liu, BoWen Zhou
K-PLUG achieves new state-of-the-art results on a suite of domain-specific NLP tasks, including product knowledge base completion, abstractive product summarization, and multi-turn dialogue, significantly outperforms baselines across the board, which demonstrates that the proposed method effectively learns a diverse set of domain-specific knowledge for both language understanding and generation tasks.
no code implementations • 18 Sep 2020 • Mingwei Zhang, Jia-Wei Zhao, Hai Dong, Ke Deng, Ying Liu
With the rapid prevalence of mobile devices and the dramatic proliferation of mobile applications (apps), app recommendation becomes an emergent task that would benefit both app users and stockholders.
no code implementations • 15 Sep 2020 • Xiaohong Chen, Ying Liu, Shujie Ma, Zheng Zhang
This paper considers a generalized optimization framework for efficient estimation of general treatment effects using artificial neural networks (ANNs) to approximate the unknown nuisance function of growing-dimensional confounders.
no code implementations • 6 Aug 2020 • Ying Liu, Wenhong Cai, Xiaohui Yuan, Jinhai Xiang
Although Generative Adversarial Networks have shown remarkable performance in image generation, there are some challenges in image realism and convergence speed.
no code implementations • 31 Oct 2019 • Suzanne C. Wetstein, Allison M Onken, Christina Luffman, Gabrielle M Baker, Michael E Pyle, Kevin H Kensler, Ying Liu, Bart Bakker, Ruud Vlutters, Marinus B van Leeuwen, Laura C Collins, Stuart J Schnitt, Josien PW Pluim, Rulla M. Tamimi, Yujing J. Heng, Mitko Veta
A first set of 92 WSIs was annotated for TDLUs, acini and adipose tissue to train deep convolutional neural network (CNN) models for detection of acini, and segmentation of TDLUs and adipose tissue.
1 code implementation • NAACL 2019 • Jianhao Yan, Lin He, Ruqin Huang, Jian Li, Ying Liu
This paper formulates the problem of relation extraction with temporal reasoning and proposes a solution to predict whether two given entities participate in a relation at a given time spot.
2 code implementations • 4 Dec 2018 • Chenglei Niu, Guojing Zhong, Ying Liu, Yandong Zhang, Yongsheng Sun, Ailong He, Zhaoji Chen
With the rapid development of online advertising and recommendation systems, click-through rate prediction is expected to play an increasingly important role. Recently many DNN-based models which follow a similar Embedding&MLP paradigm have been proposed, and have achieved good result in image/voice and nlp fields.
no code implementations • 25 Nov 2018 • Yaochen Li, Ying Liu, Rui Sun, Rui Guo, Li Zhu, Yong Qi
In this paper, we propose a framework to reconstruct the 3D models by the multi-view point cloud registration algorithm with adaptive convergence threshold, and subsequently apply it to 3D model retrieval.
1 code implementation • 16 Oct 2018 • Yunan Wu, Feng Yang, Ying Liu, Xuefan Zha, Shaofeng Yuan
Then, in order to alleviate the overfitting problem in two-dimensional network, we initialize AlexNet-like network with weights trained on ImageNet, to fit the training ECG images and fine-tune the model, and to further improve the accuracy and robustness of ECG classification.
1 code implementation • 27 Sep 2018 • Ying Liu, Cheng Zheng
A new statistical procedure (Model-X \cite{candes2018}) has provided a way to identify important factors using any supervised learning method controlling for FDR.
Methodology
no code implementations • 19 Jun 2018 • Qiqi Zhang, Ying Liu
One of the big restrictions in brain computer interface field is the very limited training samples, it is difficult to build a reliable and usable system with such limited data.
no code implementations • 25 Feb 2018 • Kun Hu, Zhe Li, Ying Liu, Luyin Cheng, Qi Yang, Yan Li
In the first prediction part, we focus on predicting the downward trend, which is an earlier stage of the customer lifecycle compared to churn.
9 code implementations • 12 Feb 2018 • Haowen Xu, Wenxiao Chen, Nengwen Zhao, Zeyan Li, Jiahao Bu, Zhihan Li, Ying Liu, Youjian Zhao, Dan Pei, Yang Feng, Jie Chen, Zhaogang Wang, Honglin Qiao
To ensure undisrupted business, large Internet companies need to closely monitor various KPIs (e. g., Page Views, number of online users, and number of orders) of its Web applications, to accurately detect anomalies and trigger timely troubleshooting/mitigation.
1 code implementation • The Web Conference (WWW) 2018 • Yequan Wang, Aixin Sun, Jialong Han, Ying Liu, Xiaoyan Zhu
Based on capsule representation, the probability module computes the capsule’s state probability.
Ranked #6 on Sentiment Analysis on MR
no code implementations • 28 Jan 2018 • Ning Liu, Ying Liu, Brent Logan, Zhiyuan Xu, Jian Tang, Yanzhi Wang
This paper presents the first deep reinforcement learning (DRL) framework to estimate the optimal Dynamic Treatment Regimes from observational medical data.
no code implementations • 14 Dec 2017 • Feng Liu, Yong Shi, Ying Liu
The rapid development of artificial intelligence has brought the artificial intelligence threat theory as well as the problem about how to evaluate the intelligence level of intelligent products.
no code implementations • 29 Sep 2017 • Feng Liu, Yong Shi, Ying Liu
Although artificial intelligence is currently one of the most interesting areas in scientific research, the potential threats posed by emerging AI systems remain a source of persistent controversy.
no code implementations • 27 Jun 2017 • Shan Guan, Ying Liu, Zhi-Ming Yu, Shan-Shan Wang, Yugui Yao, Shengyuan A. Yang
However, the Dirac points in existing 2D materials, including graphene, are vulnerable against spin-orbit coupling (SOC).
Materials Science
no code implementations • 27 Aug 2015 • Ying Liu, Yan-bin Han, Yu-lin Zhang
In the paper, we combined DSP processor with image processing algorithm and studied the method of water meter character recognition.
no code implementations • NeurIPS 2013 • Ying Liu, Alan S. Willsky
Exact inference such as computing the marginal distributions and the partition function has complexity $O(k^{2}n)$ using message-passing algorithms, where k is the size of the FVS, and n is the total number of nodes.