Jing Ya

According to our database, Jing Ya authored at least 16 papers between 2015 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation.

Jiangxia Cao, Xixun Lin, Xin Cong, Jing Ya, Tingwen Liu, Bin Wang

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

2021

Heterogeneous Graph Neural Networks for Query-focused Summarization.

Jing Ya, Tingwen Liu, Jiangxia Cao, Li Guo

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Few-Shot Text Classification with External Knowledge Expansion.

Jian Guan, Rui Xu, Jing Ya, Qiu Tang, Jidong Xue, Ni Zhang

Proceedings of the ICIAI 2021: 2021 the 5th International Conference on Innovation in Artificial Intelligence, 2021

Darknet Public Hazard Entity Recognition Based on Deep Learning.

Panpan Zhang, Xuebin Wang, Jing Ya, Jiapeng Zhao, Tingwen Liu, Jinqiao Shi

Proceedings of the ACM ICEA '21: 2021 ACM International Conference on Intelligent Computing and its Emerging Applications, Jinan, China, December 28, 2021

Mining Open-Source Cyber Threat Intelligence with Distant Supervision from the Web.

Panpan Zhang, Jing Ya, Tingwen Liu, Jinqiao Shi

Proceedings of the Sixth IEEE International Conference on Data Science in Cyberspace, 2021

Identifying Reply Relationships from Telegram Groups Using Multi-Features Fusion.

Panpan Zhang, Yao Qi, Yanzeng Li, Jing Ya, Xuebin Wang, Tingwen Liu, Jinqiao Shi

Proceedings of the Sixth IEEE International Conference on Data Science in Cyberspace, 2021

2020

A Compare-Aggregate Model with External Knowledge for Query-Focused Summarization.

Jing Ya, Tingwen Liu, Li Guo

Proceedings of the Web Information Systems Engineering - WISE 2020, 2020

2019

SFV-CNN: Deep Text Sentiment Classification with Scenario Feature Representation.

Haoliang Zhang, Hongbo Xu, Jinqiao Shi, Tingwen Liu, Jing Ya

Proceedings of the Mathematical Aspects of Computer and Information Sciences, 2019

iMCircle: Automatic Mining of Indicators of Compromise from the Web.

Panpan Zhang, Jing Ya, Tingwen Liu, Quangang Li, Jinqiao Shi, Zhaojun Gu

Proceedings of the 2019 IEEE Symposium on Computers and Communications, 2019

NeuralAS: Deep Word-Based Spoofed URLs Detection Against Strong Similar Samples.

Jing Ya, Tingwen Liu, Panpan Zhang, Jinqiao Shi, Li Guo, Zhaojun Gu

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

Fast and Accurate Typosquatting Domains Evaluation with Siamese Networks.

Jing Ya, Tingwen Liu, Quangang Li, Pin Lv, Jinqiao Shi, Li Guo

Proceedings of the 2018 IEEE Military Communications Conference, 2018

You Have More Abbreviations Than You Know: A Study of AbbrevSquatting Abuse.

Pin Lv, Jing Ya, Tingwen Liu, Jinqiao Shi, Binxing Fang, Zhaojun Gu

Proceedings of the Computational Science - ICCS 2018, 2018

2017

Domain Watcher: Detecting Malicious Domains Based on Local and Global Textual Features.

Panpan Zhang, Tingwen Liu, Yang Zhang, Jing Ya, Jinqiao Shi, Yubin Wang

Proceedings of the International Conference on Computational Science, 2017

Mining Host Behavior Patterns From Massive Network and Security Logs.

Jing Ya, Tingwen Liu, Quangang Li, Jinqiao Shi, Haoliang Zhang, Pin Lv, Li Guo

Proceedings of the International Conference on Computational Science, 2017

2016

Towards quantifying visual similarity of domain names for combating typosquatting abuse.

Tingwen Liu, Yang Zhang, Jinqiao Shi, Jing Ya, Quangang Li, Li Guo

Proceedings of the 2016 IEEE Military Communications Conference, 2016

2015

An automatic approach to extract the formats of network and security log messages.

Jing Ya, Tingwen Liu, Haoliang Zhang, Jinqiao Shi, Li Guo

Proceedings of the 34th IEEE Military Communications Conference, 2015