Search Results for author: Lin Qiu

Found 16 papers, 7 papers with code

Variational Interpretable Learning from Multi-view Data

no code implementations28 Feb 2022 Lin Qiu, Lynn Lin, Vernon M. Chinchilli

We propose a deep interpretable variational canonical correlation analysis (DICCA) for multi-view learning.

MULTI-VIEW LEARNING

Combining Graph Neural Networks with Expert Knowledge for Smart Contract Vulnerability Detection

1 code implementation24 Jul 2021 Zhenguang Liu, Peng Qian, Xiaoyang Wang, Yuan Zhuang, Lin Qiu, Xun Wang

Then, we propose a novel temporal message propagation network to extract the graph feature from the normalized graph, and combine the graph feature with designed expert patterns to yield a final detection system.

Vulnerability Detection

NeurT-FDR: Controlling FDR by Incorporating Feature Hierarchy

1 code implementation24 Jan 2021 Lin Qiu, Nils Murrugarra-Llerena, Vítor Silva, Lin Lin, Vernon M. Chinchilli

Controlling false discovery rate (FDR) while leveraging the side information of multiple hypothesis testing is an emerging research topic in modern data science.

Non-iterative Parallel Text Generation via Glancing Transformer

no code implementations1 Jan 2021 Lihua Qian, Hao Zhou, Yu Bao, Mingxuan Wang, Lin Qiu, Weinan Zhang, Yong Yu, Lei LI

Although non-autoregressive models with one-iteration generation achieves remarkable inference speed-up, they still falls behind their autoregressive counterparts inprediction accuracy.

Language Modelling Text Generation

Deep Latent Variable Model for Learning Longitudinal Multi-view Data

no code implementations11 May 2020 Lin Qiu, Vernon M. Chinchilli, Lin Lin

In many scientific problems such as video surveillance, modern genomic analysis, and clinical studies, data are often collected from diverse domains across time that exhibit time-dependent heterogeneous properties.

Time Series

Probabilistic Canonical Correlation Analysis for Sparse Count Data

no code implementations11 May 2020 Lin Qiu, Vernon M. Chinchilli

We further apply the PSCCA method to study the association of miRNA and mRNA expression data sets from a squamous cell lung cancer study, finding that PSCCA can uncover a large number of strongly correlated pairs than standard correlation and other sparse CCA approaches.

Exploring Diverse Expressions for Paraphrase Generation

no code implementations IJCNLP 2019 Lihua Qian, Lin Qiu, Wei-Nan Zhang, Xin Jiang, Yong Yu

Paraphrasing plays an important role in various natural language processing (NLP) tasks, such as question answering, information retrieval and sentence simplification.

Information Retrieval Paraphrase Generation +2

Dynamically Fused Graph Network for Multi-hop Reasoning

1 code implementation ACL 2019 Yunxuan Xiao, Yanru Qu, Lin Qiu, Hao Zhou, Lei LI, Wei-Nan Zhang, Yong Yu

However, many difficult questions require multiple supporting evidence from scattered text among two or more documents.

Question Answering

Sampled in Pairs and Driven by Text: A New Graph Embedding Framework

no code implementations12 Sep 2018 Liheng Chen, Yanru Qu, Zhenghui Wang, Lin Qiu, Wei-Nan Zhang, Ken Chen, Shaodian Zhang, Yong Yu

TGE-PS uses Pairs Sampling (PS) to improve the sampling strategy of RW, being able to reduce ~99% training samples while preserving competitive performance.

Graph Embedding Link Prediction

Deep Recurrent Survival Analysis

1 code implementation7 Sep 2018 Kan Ren, Jiarui Qin, Lei Zheng, Zhengyu Yang, Wei-Nan Zhang, Lin Qiu, Yong Yu

By capturing the time dependency through modeling the conditional probability of the event for each sample, our method predicts the likelihood of the true event occurrence and estimates the survival rate over time, i. e., the probability of the non-occurrence of the event, for the censored data.

Survival Analysis

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