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2020 – today
- 2024
[j3]Ling Cheng
, Feida Zhu, Yong Wang, Ruicheng Liang, Huiwen Liu:
From Asset Flow to Status, Action, and Intention Discovery: Early Malice Detection in Cryptocurrency. ACM Trans. Knowl. Discov. Data 18(3): 50:1-50:27 (2024)- [i3]Jiaheng Xie, Ruicheng Liang, Yidong Chai, Yang Liu, Daniel Zeng:
Short-Form Videos and Mental Health: A Knowledge-Guided Neural Topic Model. CoRR abs/2402.10045 (2024) - 2023
- [j2]Yidong Chai, Ruicheng Liang, Sagar Samtani, Hongyi Zhu, Meng Wang, Ye-Zheng Liu, Yuanchun Jiang:
Additive Feature Attribution Explainable Methods to Craft Adversarial Attacks for Text Classification and Text Regression. IEEE Trans. Knowl. Data Eng. 35(12): 12400-12414 (2023) - [c3]Ling Cheng, Feida Zhu, Yong Wang, Ruicheng Liang, Huiwen Liu:
Evolve Path Tracer: Early Detection of Malicious Addresses in Cryptocurrency. KDD 2023: 3889-3900 - [c2]Ruicheng Liang, Yidong Chai, Weifeng Li, Michael Chau, Yuanchun Jiang, Yezheng Liu:
Assessing and Enhancing Adversarial Robustness for Review-Based Recommender System: A Design Science Approach. PACIS 2023: 211 - [c1]Ling Cheng, Feida Zhu, Yong Wang, Ruicheng Liang, Huiwen Liu:
Toward Intention Discovery for Early Malice Detection in Cryptocurrency. SMC 2023: 1846-1847 - [i2]Ling Cheng, Feida Zhu, Yong Wang, Ruicheng Liang, Huiwen Liu:
Evolve Path Tracer: Early Detection of Malicious Addresses in Cryptocurrency. CoRR abs/2301.05412 (2023) - [i1]Ling Cheng, Feida Zhu, Yong Wang, Ruicheng Liang, Huiwen Liu:
From Asset Flow to Status, Action and Intention Discovery: Early Malice Detection in Cryptocurrency. CoRR abs/2309.15133 (2023) - 2022
- [j1]Yuanchun Jiang, Ruicheng Liang, Ji Zhang, Jianshan Sun, Ye-Zheng Liu, Yang Qian:
Network Public Opinion Detection During the Coronavirus Pandemic: A Short-Text Relational Topic Model. ACM Trans. Knowl. Discov. Data 16(3): 52:1-52:27 (2022)
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