| 2022 | SIGIR | DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation. | Jiangxia Cao, Xixun Lin, Xin Cong, Jing Ya, Tingwen Liu, Bin Wang |
| 2021 | SDM | Heterogeneous Graph Neural Networks for Query-focused Summarization. | Jing Ya, Tingwen Liu, Jiangxia Cao, Li Guo |
| 2020 | WISE | A Compare-Aggregate Model with External Knowledge for Query-Focused Summarization. | Jing Ya, Tingwen Liu, Li Guo |
| 2019 | IJCNN | NeuralAS: Deep Word-Based Spoofed URLs Detection Against Strong Similar Samples. | Jing Ya, Tingwen Liu, Panpan Zhang, Jinqiao Shi, Li Guo, Zhaojun Gu |
| 2019 | ISCC | iMCircle: Automatic Mining of Indicators of Compromise from the Web. | Panpan Zhang, Jing Ya, Tingwen Liu, Quangang Li, Jinqiao Shi, Zhaojun Gu |
| 2018 | ICCS | You Have More Abbreviations Than You Know: A Study of AbbrevSquatting Abuse. | Pin Lv, Jing Ya, Tingwen Liu, Jinqiao Shi, Binxing Fang, Zhaojun Gu |
| 2017 | ICCS | Mining Host Behavior Patterns From Massive Network and Security Logs. | Jing Ya, Tingwen Liu, Quangang Li, Jinqiao Shi, Haoliang Zhang, Pin Lv, Li Guo |
| 2017 | ICCS | Domain Watcher: Detecting Malicious Domains Based on Local and Global Textual Features. | Panpan Zhang, Tingwen Liu, Yang Zhang, Jing Ya, Jinqiao Shi, Yubin Wang |