A Comparative Study of Off-Line Deep Learning Based Network Intrusion Detection. - Jiaqi Yan; Dong Jin; Cheol Won Lee; Ping Liu 002 (ICUFN, 2018)

Forecasting the Presence and Intensity of Hostility on Instagram Using Linguistic and Social Features. - Ping Liu 002; Joshua Guberman; Libby Hemphill; Aron Culotta (ICWSM, 2018)

NULI at SemEval-2019 Task 6: Transfer Learning for Offensive Language Detection using Bidirectional Transformers. - Ping Liu 002; Wen Li; Liang Zou (SemEval@NAACL-HLT, 2019)

Relational Classification of Biological Cells in Microscopy Images. - Ping Liu 002; Mustafa Bilgic 001 (AAAI, 2021)

The Interaction between Political Typology and Filter Bubbles in News Recommendation Algorithms. - Ping Liu 002; Karthik Shivaram; Aron Culotta; Matthew A. Shapiro; Mustafa Bilgic 001 (WWW, 2021)

Reducing Cross-Topic Political Homogenization in Content-Based News Recommendation. - Karthik Shivaram; Ping Liu 002; Matthew A. Shapiro; Mustafa Bilgic 001; Aron Culotta (RecSys, 2022)

OrganoID: A versatile deep learning platform for tracking and analysis of single-organoid dynamics. - Jonathan M. Matthews; Brooke Schuster; Sara Saheb Kashaf; Ping Liu 002; Rakefet Ben-Yishay; Dana Ishay-Ronen; Evgeny Izumchenko; Le Shen; Christopher R. Weber; Margaret Bielski; Sonia S. Kupfer; Mustafa Bilgic 001; et al. (PLoS Comput. Biol., 2022)

The Analysis of the Expected Change in the Classification Probability of the Predicted Label. - Ruo Yang; Ping Liu 002; Mustafa Bilgic 001 (Trans. Mach. Learn. Res., 2023)

Learning Links for Adaptable and Explainable Retrieval. - Jianqiang Shen; Yuchin Juan; Ping Liu 002; Wen Pu; Shaobo Zhang; Qianqi Shen; Liangjie Hong; Wenjing Zhang (CIKM, 2024)

How Does Empowering Users with Greater System Control Affect News Filter Bubbles? - Ping Liu 002; Karthik Shivaram; Aron Culotta; Matthew A. Shapiro; Mustafa Bilgic 001 (ICWSM, 2024)

LiGNN: Graph Neural Networks at LinkedIn. - Fedor Borisyuk; Shihai He; Yunbo Ouyang; Morteza Ramezani; Peng Du; Xiaochen Hou; Chengming Jiang; Nitin Pasumarthy; Priya Bannur; Birjodh Tiwana; Ping Liu 002; Siddharth Dangi; et al. (KDD, 2024)

Learning to Retrieve for Job Matching. - Jianqiang Shen; Yuchin Juan; Shaobo Zhang; Ping Liu 002; Wen Pu; Sriram Vasudevan; Qingquan Song; Fedor Borisyuk; Kay Qianqi Shen; Haichao Wei; Yunxiang Ren; Yeou S. Chiou; et al. (CoRR, 2024)

LinkSAGE: Optimizing Job Matching Using Graph Neural Networks. - Ping Liu 002; Haichao Wei; Xiaochen Hou; Jianqiang Shen; Shihai He; Qianqi Shen; Zhujun Chen; Fedor Borisyuk; Daniel Hewlett; Liang Wu 006; Srikant Veeraraghavan; Alex Tsun; et al. (KDD (1), 2025)

A Scalable and Efficient Signal Integration System for Job Matching. - Ping Liu 002; Rajat Arora; Xiao Shi; Benjamin Le; Qianqi Shen; Jianqiang Shen; Chengming Jiang; Nikita Zhiltsov; Priya Bannur; Yidan Zhu; Liming Dong 005; Haichao Wei; et al. (CoRR, 2025)