Network Public Opinion Detection During the Coronavirus Pandemic: A Short-Text Relational Topic Model. - Yuanchun Jiang; Ruicheng Liang; Ji Zhang; Jianshan Sun; Ye-Zheng Liu 001; Yang Qian 001 (ACM Trans. Knowl. Discov. Data, 2022)

Evolve Path Tracer: Early Detection of Malicious Addresses in Cryptocurrency. - Ling Cheng 002; Feida Zhu 001; Yong Wang 021; Ruicheng Liang; Huiwen Liu (KDD, 2023)

Assessing and Enhancing Adversarial Robustness for Review-Based Recommender System: A Design Science Approach. - Ruicheng Liang; Yidong Chai; Weifeng Li 002; Michael Chau; Yuanchun Jiang; Yezheng Liu 001 (PACIS, 2023)

Toward Intention Discovery for Early Malice Detection in Cryptocurrency. - Ling Cheng 002; Feida Zhu 001; Yong Wang 021; Ruicheng Liang; Huiwen Liu (SMC, 2023)

Additive Feature Attribution Explainable Methods to Craft Adversarial Attacks for Text Classification and Text Regression. - Yidong Chai; Ruicheng Liang; Sagar Samtani; Hongyi Zhu; Meng Wang 001; Ye-Zheng Liu 001; Yuanchun Jiang (IEEE Trans. Knowl. Data Eng., 2023)

Short-Form Videos and Mental Health: A Knowledge-Guided Neural Topic Model. - Jiaheng Xie; Ruicheng Liang; Yidong Chai; Yang Liu; Daniel Zeng 001 (CoRR, 2024)

From Asset Flow to Status, Action, and Intention Discovery: Early Malice Detection in Cryptocurrency. - Ling Cheng 002; Feida Zhu 001; Yong Wang 021; Ruicheng Liang; Huiwen Liu (ACM Trans. Knowl. Discov. Data, 2024)

Defending Federated Recommender Systems against Untargeted Attacks: A Contribution-Aware Robust Aggregation Scheme. - Ruicheng Liang; Yuanchun Jiang; Feida Zhu 001; Ling Cheng 002; Huiwen Liu (ACM Trans. Knowl. Discov. Data, 2025)

New Recipe for Semi-supervised Community Detection: Clique Annealing under Crystallization Kinetics. - Ling Cheng 002; Jiashu Pu; Ruicheng Liang; Qian Shao; Hezhe Qiao; Feida Zhu 001 (CoRR, 2025)