Search Results for author: Ying Liu

Found 29 papers, 8 papers with code

Low-Dose CT Denoising Using a Structure-Preserving Kernel Prediction Network

no code implementations31 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.

Denoising

A Large-Scale Benchmark for Food Image Segmentation

2 code implementations12 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 #2 on Semantic Segmentation on FoodSeg103 (using extra training data)

Semantic Segmentation

K-PLUG: Knowledge-injected Pre-trained Language Model for Natural Language Understanding and Generation in E-Commerce

1 code implementation14 Apr 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.

Knowledge Base Completion Language Modelling +2

Coexistience of phononic six-fold, four-fold and three-fold excitations in ternary antimonide Zr3Ni3Sb4

no code implementations22 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

Identify Influential Spreaders in Asymmetrically Interacting Multiplex Networks

no code implementations5 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

K-PLUG: KNOWLEDGE-INJECTED PRE-TRAINED LANGUAGE MODEL FOR NATURAL LANGUAGE UNDERSTANDING AND GENERATION

1 code implementation1 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.

Chatbot Knowledge Base Completion +4

A Knowledge Graph based Approach for Mobile Application Recommendation

no code implementations18 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.

graph construction

Efficient Estimation of General Treatment Effects using Neural Networks with A Diverging Number of Confounders

no code implementations15 Sep 2020 Xiaohong Chen, Ying Liu, Shujie Ma, Zheng Zhang

This paper proposes a new unified approach for efficient estimation of treatment effects using feedforward artificial neural networks when the number of covariates is allowed to increase with the sample size.

GL-GAN: Adaptive Global and Local Bilevel Optimization model of Image Generation

no code implementations6 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.

bilevel optimization Global Optimization +1

Relation Extraction with Temporal Reasoning Based on Memory Augmented Distant Supervision

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.

Relation Extraction

Structured Semantic Model supported Deep Neural Network for Click-Through Rate Prediction

2 code implementations4 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.

Click-Through Rate Prediction Recommendation Systems

Multi-view Point Cloud Registration with Adaptive Convergence Threshold and its Application on 3D Model Retrieval

no code implementations25 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.

Point Cloud Registration

A Comparison of 1-D and 2-D Deep Convolutional Neural Networks in ECG Classification

1 code implementation16 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.

ECG Classification General Classification

Auto-Encoding Knockoff Generator for FDR Controlled Variable Selection

1 code implementation27 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

Improving brain computer interface performance by data augmentation with conditional Deep Convolutional Generative Adversarial Networks

no code implementations19 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.

Data Augmentation EEG +1

A Framework in CRM Customer Lifecycle: Identify Downward Trend and Potential Issues Detection

no code implementations25 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.

Causal Inference

Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications

7 code implementations12 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.

Unsupervised Anomaly Detection

Deep Reinforcement Learning for Dynamic Treatment Regimes on Medical Registry Data

no code implementations28 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.

Three IQs of AI Systems and their Testing Methods

no code implementations14 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.

Intelligence Quotient and Intelligence Grade of Artificial Intelligence

no code implementations29 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.

Two-dimensional Spin-Orbit Dirac Point in Monolayer HfGeTe

no code implementations27 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

Image Type Water Meter Character Recognition Based on Embedded DSP

no code implementations27 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.

Meter Reading

Learning Gaussian Graphical Models with Observed or Latent FVSs

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.

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