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Ying Sha
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2020 – today
- 2024
- [c51]Yuxue Hu, Junsong Li
, Mingmin Wu, Zhongqiang Huang, Gang Chen, Ying Sha:
Uncovering and Mitigating the Hidden Chasm: A Study on the Text-Text Domain Gap in Euphemism Identification. AAAI 2024: 18270-18278 - [c50]Mingmin Wu, Yuxue Hu, Yongcheng Zhang, Zeng Zhi, Guixin Su, Ying Sha:
Mitigating Idiom Inconsistency: A Multi-Semantic Contrastive Learning Method for Chinese Idiom Reading Comprehension. AAAI 2024: 19243-19251 - [c49]Mingmin Wu, Guixin Su, Yongcheng Zhang, Zhongqiang Huang, Ying Sha:
Refining Idioms Semantics Comprehension via Contrastive Learning and Cross-Attention. LREC/COLING 2024: 13785-13795 - [c48]Yuxue Hu
, Mingmin Wu
, Zhongqiang Huang
, Junsong Li
, Xing Ge
, Ying Sha
:
Euphemism Identification via Feature Fusion and Individualization. WWW 2024: 2383-2394 - 2023
- [j4]Huan Wang
, Ziwen Cui, Ruigang Liu
, Lei Fang
, Ying Sha
:
A Multi-Type Transferable Method for Missing Link Prediction in Heterogeneous Social Networks. IEEE Trans. Knowl. Data Eng. 35(11): 10981-10991 (2023) - [c47]Ying Sha, Mingmin Wu, Zhi Zeng, Xing Ge, Zhongqiang Huang, Huan Wang:
A Prompt-Based Representation Individual Enhancement Method for Chinese Idiom Reading Comprehension. DASFAA (3) 2023: 682-698 - [c46]Zhi Zeng, Mingmin Wu, Guodong Li, Xiang Li, Zhongqiang Huang, Ying Sha:
An Explainable Multi-view Semantic Fusion Model for Multimodal Fake News Detection. ICME 2023: 1235-1240 - [c45]Zhongqiang Huang, Yuxue Hu, Zhi Zeng, Xiang Li, Ying Sha:
Multimodal Stacked Cross Attention Network for Fine-Grained Fake News Detection. ICME 2023: 2837-2842 - [c44]Zhi Zeng, Mingmin Wu, Guodong Li, Xiang Li, Zhongqiang Huang, Ying Sha:
Correcting the Bias: Mitigating Multimodal Inconsistency Contrastive Learning for Multimodal Fake News Detection. ICME 2023: 2861-2866 - 2022
- [j3]Yuanda Zhu
, Ying Sha
, Hang Wu, Mai Li, Ryan A. Hoffman
, May D. Wang
:
Proposing Causal Sequence of Death by Neural Machine Translation in Public Health Informatics. IEEE J. Biomed. Health Informatics 26(4): 1422-1431 (2022) - [c43]Changjian Wang, Xiaofei Zhou, Shirui Pan, Linhua Dong, Zeliang Song, Ying Sha:
Exploring Relational Semantics for Inductive Knowledge Graph Completion. AAAI 2022: 4184-4192 - [c42]Zhi Zeng, Xiang Li, Ying Sha:
Heterogeneous Propagation Graph Representation Learning for Fake News Detection. HPCC/DSS/SmartCity/DependSys 2022: 456-463 - [c41]Huan Wang, Chunming Qiao, Xuan Guo, Ying Sha, Zhiguo Gong:
Exploiting Anomalous Structural Nodes in Dynamic Social Networks. WWW (Companion Volume) 2022: 388 - 2021
- [j2]Huan Wang, Chunming Qiao, Xuan Guo, Lei Fang, Ying Sha, Zhiguo Gong:
Identifying and Evaluating Anomalous Structural Change-based Nodes in Generalized Dynamic Social Networks. ACM Trans. Web 15(4): 19:1-19:22 (2021) - [c40]Zhi Zeng, Linyun Ye, Ruigang Liu
, Ziwen Cui, Minghao Wu, Ying Sha:
Fake News Detection by Using Common Latent Semantics Matching Method. ICTAI 2021: 1059-1066 - [i3]Felipe O. Giuste, Wenqi Shi, Yuanda Zhu, Tarun Naren, Monica Isgut, Ying Sha, Li Tong, Mitali S. Gupte, May D. Wang:
Explainable Artificial Intelligence Methods in Combating Pandemics: A Systematic Review. CoRR abs/2112.12705 (2021) - 2020
- [c39]Changjian Wang, Ying Sha:
Neighborhood Aggregation Embedding Model for Link Prediction in Knowledge Graphs. ICWE 2020: 188-203 - [c38]Junshuai Yu, Qi Huang, Xiaofei Zhou
, Ying Sha:
IARNet: An Information Aggregating and Reasoning Network over Heterogeneous Graph for Fake News Detection. IJCNN 2020: 1-9 - [i2]Yuanda Zhu, Ying Sha, Hang Wu, Mai Li, Ryan A. Hoffman, May D. Wang:
Public Health Informatics: Proposing Causal Sequence of Death Using Neural Machine Translation. CoRR abs/2009.10318 (2020)
2010 – 2019
- 2019
- [c37]Jianjun Wu, Ying Sha, Bo Jiang, Jianlong Tan:
DSINE: Deep Structural Influence Learning via Network Embedding. AAAI 2019: 10065-10066 - [c36]Chengfang Ma, Ying Sha, Jianlong Tan, Li Guo, Huailiang Peng:
Chinese Social Media Entity Linking Based on Effective Context with Topic Semantics. COMPSAC (1) 2019: 386-395 - [c35]Li Tong, Ying Sha, May D. Wang
:
Improving Classification of Breast Cancer by Utilizing the Image Pyramids of Whole-Slide Imaging and Multi-scale Convolutional Neural Networks. COMPSAC (1) 2019: 696-703 - [c34]Chuanrun Yi, Dong Wang, Chunyu He, Ying Sha:
Learning to Explain Chinese Slang Words. ICANN (4) 2019: 22-33 - [c33]Minghui Yan, Changjian Wang, Ying Sha:
Capturing User and Product Information for Sentiment Classification via Hierarchical Separated Attention and Neural Collaborative Filtering. ICANN (4) 2019: 104-116 - [c32]Changjian Wang, Minghui Yan, Chuanrun Yi, Ying Sha:
Capturing Semantic and Syntactic Information for Link Prediction in Knowledge Graphs. ISWC (1) 2019: 664-679 - 2018
- [c31]Mohammed Saqib, Ying Sha, May D. Wang
:
Early Prediction of Sepsis in EMR Records Using Traditional ML Techniques and Deep Learning LSTM Networks. EMBC 2018: 4038-4041 - [c30]Jianjun Wu, Ying Sha, Rui Li, Jianlong Tan, Bin Wang:
Leveraging Uncertainty Analysis of Data to Evaluate User Influence Algorithms of Social Networks. ICCS (3) 2018: 465-472 - [c29]Jirong You, Ying Sha, Qi Liang, Bin Wang:
Morph Resolution Based on Autoencoders Combined with Effective Context Information. ICCS (3) 2018: 487-498 - [c28]Jianjun Wu, Ying Sha, Jianlong Tan:
Structural Representations Learning of Social Influence in Heterogeneous Social Networks. ITQM 2018: 588-597 - 2017
- [c27]Ying Sha, May D. Wang
:
Interpretable Predictions of Clinical Outcomes with An Attention-based Recurrent Neural Network. BCB 2017: 233-240 - [c26]Hamid Reza Hassanzadeh, Ying Sha, May D. Wang
:
DeepDeath: Learning to predict the underlying cause of death with Big Data. EMBC 2017: 3373-3376 - [c25]Ying Sha, Zhenhui Shi, Rui Li, Qi Liang, Bin Wang:
Resolving Entity Morphs based on Character-Word Embedding. ICCS 2017: 48-57 - [c24]Jianjun Wu, Ying Sha, Rui Li, Qi Liang, Bo Jiang, Jianlong Tan, Bin Wang:
Identification of Influential Users Based on Topic-Behavior Influence Tree in Social Networks. NLPCC 2017: 477-489 - [i1]Hamid Reza Hassanzadeh, Ying Sha, May D. Wang:
DeepDeath: Learning to Predict the Underlying Cause of Death with Big Data. CoRR abs/1705.03508 (2017) - 2016
- [c23]Chihwen Cheng, Ying Sha, May D. Wang
:
InterVisAR: An Interactive Visualization for Association Rule Search. BCB 2016: 175-184 - [c22]Ying Sha, Janani Venugopalan, May D. Wang
:
A Novel Temporal Similarity Measure for Patients Based on Irregularly Measured Data in Electronic Health Records. BCB 2016: 337-344 - [c21]Ying Sha, Qi Liang, Kaijian Zheng:
Matching User Accounts Across Social Networks Based on Users Message. ICCS 2016: 2423-2427 - [c20]Bo Jiang, Jiguang Liang, Ying Sha, Rui Li, Wei Liu, Hongyuan Ma, Lihong Wang:
Retweeting Behavior Prediction Based on One-Class Collaborative Filtering in Social Networks. SIGIR 2016: 977-980 - [c19]Bo Jiang, Jiguang Liang, Ying Sha, Lihong Wang, Zhixin Kuang, Rui Li, Peng Li:
Unifying User and Message Clustering Information for Retweeting Behavior Prediction. WAIM (2) 2016: 291-303 - [c18]Bo Jiang, Jiguang Liang, Ying Sha, Rui Li, Lihong Wang:
Domain Dictionary-Based Topic Modeling for Social Text. WISE (1) 2016: 109-123 - 2015
- [c17]Bo Jiang, Ying Sha, Lihong Wang:
A Multi-view Retweeting Behaviors Prediction in Social Networks. APWeb 2015: 756-767 - [c16]Bo Jiang, Jiguang Liang, Ying Sha, Lihong Wang:
Message Clustering based Matrix Factorization Model for Retweeting Behavior Prediction. CIKM 2015: 1843-1846 - [c15]Ying Sha, John H. Phan, May D. Wang
:
Effect of low-expression gene filtering on detection of differentially expressed genes in RNA-seq data. EMBC 2015: 6461-6464 - [c14]Bo Jiang, Ying Sha:
Modeling Temporal Dynamics of User Interests in Online Social Networks. ICCS 2015: 503-512 - [c13]Bo Jiang, Ying Sha, Lihong Wang:
Predicting User Mention Behavior in Social Networks. NLPCC 2015: 146-158 - 2014
- [j1]Yang Li, Ying Sha, Jixi Shan, Bo Jiang, Jianjun Wu:
An Improved Community Partition Algorithm Integrating Mutual Information. J. Networks 9(9): 2289-2298 (2014) - [c12]Yang Li, Ying Sha, Jixi Shan, Bo Jiang, Jianjun Wu:
Preventing the diffusion of negative information based on local influence tree. SAC 2014: 650-652 - 2013
- [c11]Yang Li, Ying Sha, Jixi Shan, Bo Jiang, Jianjun Wu:
Finding High-Influence Leader Based on Local Metrics. CSE 2013: 468-475 - [c10]Jiguang Liang, Xiaofei Zhou, Ying Sha, Ping Liu, Li Guo, Shuo Bai:
Unsupervised Clustering Strategy Based on Label Propagation. ICDM Workshops 2013: 788-794 - [c9]Yang Li, Ying Sha, Jixi Shan, Kai Xu:
The Research of Weighted Community Partition based on SimHash. ITQM 2013: 797-802 - [c8]Jixi Shan, Ying Sha, Yang Li, Kai Xu, Li Guo:
Distributed OSN Crawling System based on Ajax Simulation. ITQM 2013: 819-827 - [c7]Yang Li, Ying Sha, Jixi Shan, Bo Jiang:
Finding High Influence Vertices Based on Candidate Set. PDCAT 2013: 96-102 - 2012
- [c6]Kun Wang, Ying Sha, Jianlong Tan, Li Guo, Yang Li:
Finding δ-Closure Property of BitTorrent System and Applications Based on This Property. ISCTCS 2012: 530-538 - [c5]Yang Li, Xiaoyan Wang, Ying Sha, Jianlong Tan:
Research of Security Relationship Based on Social Networks. ISCTCS 2012: 547-554 - [c4]Xiaoyan Wang, Kai Xu, Ying Sha, Jianlong Tan, Li Guo:
Research of New Words Identification in Social Network for Monitoring Public Opinion. ISCTCS 2012: 598-603
2000 – 2009
- 2009
- [c3]Ying Sha, Zhibin Zhang, Jianlong Tan:
Measuring the Influence of Active Measurement on Unstructured Peer-to-Peer Network. ICPADS 2009: 764-769 - 2007
- [c2]Ying Sha, Jianlong Tan:
An Efficient Algorithm to Compute Max/Min Values in Sliding Window for Data Streams. ICSOFT (ISDM/EHST/DC) 2007: 123-128 - 2005
- [c1]Ying Sha:
AVS-REL - A New Right Expression Language. DRMTICS 2005: 90-101
Coauthor Index
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last updated on 2024-08-08 19:15 CEST by the dblp team
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