数据库与信息系统研究室

个人介绍

张莹，教授，博士生导师，国家级青年科学人才，天津市杰出青年科学基金获得者，南开大学百名青年学科带头人（A计划），计算机学院院长助理，主要研究方向为网络空间安全治理、多模态数据挖掘、情感分析、意图识别等。近五年在IEEE TIP、IEEE TMM、IEEE TNNLS、NeurIPS、ACL等高水平会议和期刊发表论文40余篇，主持国家级、省部级重点课题10余项。  

News

•  [2023.10]  A paper is accepted by EMNLP!

•  [2023.10]  Three papers are accepted by EMNLP-Findings!

•  [2023.05]  Two papers are accepted by ACL-Findings!

•  [2022.10] Two papers are accepted by EMNLP!

•  [2022.10] A paper is accepted by EMNLP-Findings!

•  [2022.10] Two paper are accepted by COLING!

•  [2022.01] A paper is accepted by TNNLS!

•  [2022.01] A paper is accepted by ICASSP!

Research Interest

She works in the field of sentiment analysis, multimodal data analysis and deep learning. Currently, She focuses on the following research topics:

• Sentiment Analysis

• Multimodal Data Mining

• Domain-specific Information Extraction

Service and Activities

Technical Committee Member

• Technical Committee on Information System, China Computer Federation

• Technical Committee on Information Retrival, China Society of Chinese Information Processing

Organizing Committee Chair

• WISA 2014

Program Committee Member

• ICML / NeurIPS / SIGIR / TheWebConf / AAAI / NLPCC / CCIR / WISA

• KBS / ESWA / WWW / Neurocomputing

Selected Publications

2023   

    [1] Yuhao Zhang, Ying Zhang, Wenya Guo, Xiangrui Cai, Xiaojie Yuan
        Learning Disentangled Representation for Multimodal Cross-Domain Sentiment Analysis,IEEE TNNLS, 2023.

    [2] Ru Zhou, Wenya Guo, Xumeng Liu, Shenglong Yu, Ying Zhang, Xiaojie Yuan
        AoM: Detecting Aspect-oriented Information for Multimodal Aspect-Based Sentiment Analysis,ACL-Findings, 2023.

    [3] Yu Zhao, Yike Wu, Xiangrui Cai, Ying Zhang, Haiwei Zhang, Xiaojie Yuan
        From Alignment to Entailment: A Unified Textual Entailment Framework for Entity Alignment,ACL-Findings, 2023.

    [4] Xuhui Sui, Ying Zhang, Xiangrui Cai, Kehui Song, Baohang Zhou, Xiaojie Yuan, Wensheng Zhang
        BioFEG: Generate Latent Features for Biomedical Entity Linking,EMNLP, 2023.

    [5] Xuhui Sui, Ying Zhang, Kehui Song, Baohang Zhou, Xiaojie Yuan, Wensheng Zhang
        Selecting Key Views for Zero-Shot Entity Linking,EMNLP-Findings, 2023.

    [6] Shenglong Yu,Ying Zhang,Wenya Guo,Zhengkun Zhang,Ru Zhou,Xiaojie Yuan
        Licon: A Diverse, Controllable and Challenging Linguistic Concept Learning Benchmark,EMNLP-Findings, 2023.

    [7] Ying Zhang, Wenbo Fan, Kehui Song, Yu Zhao, Xuhui Sui, Xiaojie Yuan
        Incorporating Object-Level Visual Context for Multimodal Fine-Grained Entity Typing,EMNLP-Findings, 2023.

2022

[1] Yiling Zeng, Chunyao Song, Tingjian Ge, Ying Zhang
Reduction of large-scale graphs: Effective edge shedding at a controllable ratio under resource constraints,Knowledge-Based Systems (KBS), 2022.

[2] Xuhui Sui, Kehui Song, Baohang Zhou, Ying Zhang, Xiaojie Yuan
A Multi-task Learning Framework for Chinese Medical Procedure Entity Normalization,IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022.

[3] Boyu Hou, Jiqiang Gao, Xiaojie Guo, Thar Baker, Ying Zhang, Yanlong Wen, Zheli Liu
Mitigating the Backdoor Attack by Federated Filters for Industrial IoT Applications,IEEE Transactions on Industrial Informatics (TII), 2022.

[4] Yike Wu, Shiwan Zhao, Ying Zhang, Xiaojie Yuan, Zhong Su
When Pairs Meet Triplets: Improving Low-Resource Captioning via Multi-Objective Optimization,TOMMCP, 2022.

[5] Xuhui Sui, Ying Zhang, Kehui Song, Baohang Zhou, Guoqing Zhao, Xin Wei, Xiaojie Yuan
Improving Zero-Shot Entity Linking Candidate Generation with Ultra-Fine Entity Type Information,COLING, 2022.

[6] Yike Wu, Yu Zhao, Shiwan Zhao, Ying Zhang, Xiaojie Yuan, Guoqing Zhao, Ning Jiang
Overcoming Language Priors in Visual Question Answering via Distinguishing Superficially Similar Instances,COLING, 2022.

[7] Yu Zhao, Xiangrui Cai, Yike Wu, Haiwei Zhang, Ying Zhang, Guoqing Zhao and Ning Jiang
MoSE: Modality Split and Ensemble for Multimodal Knowledge Graph Completion,EMNLP, 2022.

[8] Baohang Zhou, Ying Zhang, Kehui Song, Wenya Guo, Guoqing Zhao, hongbin wang and Xiaojie Yuan
A Span-based Multimodal Variational Autoencoder for Semi-supervised Multimodal Named Entity Recognition,EMNLP, 2022. 

[9] Ying Zhang, Baohang Zhou, Kehui Song, Xuhui Sui, Guoqing Zhao, Ning Jiang and Xiaojie Yuan
PM2F2N: Patient Multi-view Multi-modal Feature Fusion Networks for Clinical Outcome Prediction,EMNLP-Findings, 2022.

[10] Shichao Wang, Xiangrui Cai, Ying Zhang, and Xiaojie Yuan
CRNet: Modeling Concurrent Events over Temporal Knowledge Graph,ISWC, 2022.

2021

[1] Ying Zhang, Baohang Zhou, Xiaoke Ding, Jiawei Ouyang, Xiangrui Cai, Jinyang Gao, Xiaojie Yuan
Adversarially learned one-class novelty detection with confidence estimation,Information Sciences, 2021.

[2] Ying Zhang, Baohang Zhou, Xiangrui Cai, Wenya Guo, Xiaoke Ding, Xiaojie Yuan
Missing value imputation in multivariate time series with end-to-end generative adversarial networks,Information Sciences, 2021.

[3] Kehui Song, Shenglong Yu, Haiwei Zhang, Ying Zhang, Xiangrui Cai, Xiaojie Yuan
A decision support system for heart failure risk prediction based on weighted naive Bayes,International Conference on Database Systems for Advanced Applications (DASFAA), 2021.

[4] Jiawei Ouyang, Yuhao Zhang, Xiangrui Cai, Ying Zhang, Xiaojie Yuan
ImputeRNN: Imputing Missing Values in Electronic Medical Records,International Conference on Database Systems for Advanced Applications (DASFAA), 2021.

[5] Wenjie Zhang, Yonghong Luo, Ying Zhang, Dipti Srinivasan
SolarGAN: Multivariate Solar Data Imputation Using Generative Adversarial Network,IEEE Transactions on Sustainable Energy, 2021.

[6] Baohang Zhou, Xiangrui Cai, Ying Zhang, Wenya Guo, Xiaojie Yuan
MTAAL: Multi-Task Adversarial Active Learning for Medical Named Entity Recognition and Normalization,AAAI Conference on Artificial Intelligence (AAAI), 2021.

[7] Kehui Song, Xianyi Zeng, Ying Zhang, Julien De Jonckheere, Xiaojie Yuan, Ludovic Koehl
An interpretable knowledge-based decision support system and its applications in pregnancy diagnosis,Knowledge-Based Systems (KBS), 2021.

[8] Wenya Guo, Ying Zhang, Jufeng Yang and Xiaojie Yuan
Re-Attention for Visual Question Answering,IEEE Transactions on Image Processing (TIP), 2021.

[9] Baohang Zhou, Xiangrui Cai, Ying Zhang, Xiaojie Yuan
An End-to-End Progressive Multi-Task Learning Framework for Medical Named Entity Recognition and Normalization,ACL, 2021.

[10] Yuhao Zhang, Xiangrui Cai, Ying Zhang, Hong Kang, Xin Ji, Xiaojie Yuan
TAU: Transferable Attention U-Net for Optic Disc and Cup Segmentation,Knowledge-Based Systems (KBS), 2021.

[11] Wenya Guo, Ying Zhang, Xiangrui Cai, Lei Meng, Jufeng Yang, Xiaojie Yuan
LD-MAN: Layout-Driven Multimodal Attention Network for Online News Sentiment Recognition,IEEE Transactions on Multimedia (TMM), 2021.

2020

[1] Wenya Guo, Ying Zhang, Xiangrui Cai, Lei Meng, Jufeng Yang and Xiaojie Yuan
LD-MAN: Layout-Driven Multimodal Attention Network for Online News Sentiment Recognition,IEEE Transactions on Multimedia (TMM), 2020.

[2] Wenya Guo, Ying Zhang, Xiaoping Wu, Jufeng Yang, Xiangrui Cai, Xiaojie Yuan
Re-Attention for Visual Question Answering,AAAI Conference on Artificial Intelligence (AAAI), 2020.

2019

[1] 宋珂慧，张莹，张江伟，袁晓洁
基于生成式对抗网络的结构化数据表生成模型研究,计算机研究与发展, 2019.

[2] Yonghong Luo, Ying Zhang, Xiangrui Cai, Xiaojie Yuan,
E²GAN: End-to-End Generative Adversarial Network for Multivariate Time Series Imputation,International Joint Conference on Artificial Intelligence (IJCAI), 2019.

[3] Xiangrui Cai, Yonghong Luo, Ying Zhang, Xiaojie Yuan
On the Impact of the Length of Subword Vectors on Word Embeddings,International Conference on Database Systems for Advanced Applications (DASFAA), 2019.

[4] Yike Wu, Shiwan Zhao, Jia Chen, Ying Zhang, Xiaojie Yuan, Zhong Su
Improving Captioning for Low-Resource Languages by Cycle Consistency,IEEE International Conference on Multimedia & Expo (ICME), 2019.

2018

[1] Zhenguo Zhang, Haiwei Zhang, Yanlong Wen, Ying Zhang, Xiaojie Yuan
Discriminative extraction of features from time series,Neurocomputing, 2018.

[2] Zhenguo Zhang, Yanlong Wen, Ying Zhang, Xiaojie Yuan
Nearest Subspace with Discriminative Regularization for Time Series Classification,International Conference on Database Systems for Advanced Applications (DASFAA), 2018.

[3] Yonghong Luo, Xiangrui Cai, Ying Zhang, Jun Xu, Xiaojie Yuan
Multivariate Time Series Imputation with Generative Adversarial Networks,Neural Information Processing Systems (NeurIPS), 2018.

[4] Xiangrui Cai, Jinyang Gao, Kee Yuan Ngiam, Beng Chin Ooi, Ying Zhang, Xiaojie Yuan
Medical Concept Embedding with Time-Aware Attention,International Joint Conference on Artificial Intelligence (IJCAI), 2018.

[5] Yuxiang Zhang, Jiamei Fu, Dongyu She, Ying Zhang, Senzhang Wang, Jufeng Yang
Text Emotion Distribution Learning via Multi-Task Convolutional Neural,International Joint Conference on Artificial Intelligence (IJCAI), 2018.

2008 - 2017

[1] 张海威, 解晓芳, 段媛媛, 温延龙, 张莹, 袁晓洁
一种基于自适应结构概要的有向标签图子图匹配查询算法,计算机学报, 2017.

[2] Chao Wang, Ying Zhang, Wei Jie, Christian Sauer, Xiaojie Yuan
Hierarchical Semantic Representations of Online News Comments for Emotion Tagging using Multiple Information Sources,International Conference on Database Systems for Advanced Applications (DASFAA), 2017.

[3] Yong Zhang, Xiuxing Li, Jin Wang, Ying Zhang, Chunxiao Xing, Xiaojie Yuan
An Efficient Framework for Exact Set Similarity Search Using Tree Structure Indexes,ICDE, 2017.

[4] Ying Zhang, Li Yu, Xue Zhao, Xiaojie Yuan, Lei Xu
Weighted Domain Translation for Online News Comments Emotion Tagging,International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR),        2017.

[5] Xiaojun Quan, Qifan Wang, Ying Zhang, Luo Si, Liu Wenyin
Latent discriminative models for social emotion detection with emotional dependency,ACM Transactions on Information Systems (TOIS), 2015.

[6] Ying Zhang, Ning Zhang, Luo Si, Yanshan Lu, Qifan Wang, Xiaojie Yuan
Cross-domain and cross-category emotion tagging for comments of online news,International ACM SIGIR conference on Research & development in information retrieval (SIGIR), 2014.

[7] Ying Zhang, Weinan Zhang, Bin Gao, Xiaojie Yuan, Tie-Yan Liu
Bid keyword suggestion in sponsored search based on competitiveness and relevance,Information processing & management (IPM), 2014.

[8] Weinan Zhang, Ying Zhang, Bin Gao, Yong Yu, Xiaojie Yuan, Tie-Yan Liu
Joint optimization of bid and budget allocation in sponsored search,International ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD), 2012.

[9] Ying Zhang, Yi Fang, Xiaojun Quan, Lin Dai, Luo Si, Xiaojie Yuan
Emotion tagging for comments of online news by meta classification with heterogeneous information sources,International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2012.

[10] Yuting Liu, Bin Gao, Tie-Yan Liu, Ying Zhang, Zhiming Ma, Shuyuan He, Hang Li
BrowseRank: letting web users vote for page importance,International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2008.

Current and Former Students

•  Ru Zhou

•  Wenbo Fan

•  Yu Zhao

•  Xinyi Zhang

•  Shenglong Yu

•  Xuhui Sui

•  Shichao Wang

•  Jiaxian Wang

•  Boyu Hou

•  Yuhao Zhang

•  Baohang Zhou

•  Jiawei Ouyang

•  Danyang Li

•  Wenya Guo

•  Xiaoke Ding

•  Kehui Song

•  Li Yu

•  Zhifan Yang

•  Xue Zhao

•  Chao Wang

Hornor and Scholarship

•  2021-May 4th Youth Medal of Nankai University