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ORCIDLing Cheng 0002
Person information
- affiliation: Singapore Management University, School of Computing and Information System, Singapore
- affiliation (former): Nanyang Technological University, Joint NTU-UBC Research Centre of Excellence in Active Living for the Elderly, Singapore
Other persons with the same name
- Ling Cheng — disambiguation page
- Ling Cheng 0001
![[0000-0001-7873-8206]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-7873-8206")
— University of the Witwatersrand, Johannesburg, South Africa
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2020 – today
- 2025
[j4]Ruicheng Liang, Yuanchun Jiang, Feida Zhu, Ling Cheng, Huiwen Liu:
Defending Federated Recommender Systems against Untargeted Attacks: A Contribution-Aware Robust Aggregation Scheme. ACM Trans. Knowl. Discov. Data 19(1): 27:1-27:28 (2025)- [j3]Ling Cheng, Feida Zhu, Qian Shao, Jiashu Pu, Fengzhu Zeng:
Early Detection of Malicious Crypto Addresses With Asset Path Tracing and Selection. IEEE Trans. Knowl. Data Eng. 37(3): 1154-1166 (2025) - [i12]Huiwen Liu, Feida Zhu, Ling Cheng:
Proof-of-Data: A Consensus Protocol for Collaborative Intelligence. CoRR abs/2501.02971 (2025) - [i11]Ling Cheng, Jiashu Pu, Ruicheng Liang, Qian Shao, Hezhe Qiao, Feida Zhu:
New Recipe for Semi-supervised Community Detection: Clique Annealing under Crystallization Kinetics. CoRR abs/2504.15927 (2025) - 2024
- [j2]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) - [c5]Ling Cheng, Qian Shao, Fengzhu Zeng, Feida Zhu:
A Full-History Network Dataset for BTC Asset Decentralization Profiling. IEEE Big Data 2024: 14-23 - [i10]Jiashu Pu, Yajing Wan, Yuru Zhang, Jing Chen, Ling Cheng, Qian Shao, Yongzhu Chang, Tangjie Lv, Rongsheng Zhang:
Crafting a Good Prompt or Providing Exemplary Dialogues? A Study of In-Context Learning for Persona-based Dialogue Generation. CoRR abs/2402.09954 (2024) - [i9]Ling Cheng, Qian Shao, Fengzhu Zeng, Feida Zhu:
A Full-History Network Dataset for BTC Asset Decentralization Profiling. CoRR abs/2411.13603 (2024) - 2023
- [c4]Xiaolin Wen, Kim Siang Yeo, Yong Wang, Ling Cheng, Feida Zhu, Min Zhu:
Code Will Tell: Visual Identification of Ponzi Schemes on Ethereum. CHI Extended Abstracts 2023: 70:1-70:6 - [c3]Jiashu Pu, Ling Cheng, Lu Fan, Tangjie Lv, Rongsheng Zhang:
Just Adjust One Prompt: Enhancing In-Context Dialogue Scoring via Constructing the Optimal Subgraph of Demonstrations and Prompts. EMNLP 2023: 9472-9496 - [c2]Ling Cheng, Feida Zhu, Yong Wang, Ruicheng Liang, Huiwen Liu:
Evolve Path Tracer: Early Detection of Malicious Addresses in Cryptocurrency. KDD 2023: 3889-3900 - [c1]Ling Cheng, Feida Zhu, Yong Wang, Ruicheng Liang, Huiwen Liu:
Toward Intention Discovery for Early Malice Detection in Cryptocurrency. SMC 2023: 1846-1847 - [i8]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) - [i7]Xiaolin Wen, Kim Siang Yeo, Yong Wang, Ling Cheng, Feida Zhu, Min Zhu:
Code Will Tell: Visual Identification of Ponzi Schemes on Ethereum. CoRR abs/2303.07657 (2023) - [i6]Jiashu Pu, Shiwei Zhao, Ling Cheng, Yongzhu Chang, Runze Wu, Tangjie Lv, Rongsheng Zhang:
Examining the Effect of Pre-training on Time Series Classification. CoRR abs/2309.05256 (2023) - [i5]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
- [i4]Ling Cheng, Feida Zhu, Yong Wang, Huiwen Liu:
Toward Intention Discovery for Early Malice Detection in Bitcoin. CoRR abs/2209.12001 (2022) - 2021
- [i3]Ling Cheng, Feida Zhu, Huiwen Liu, Chunyan Miao:
On Decentralization of Bitcoin: An Asset Perspective. CoRR abs/2105.07646 (2021) - [i2]Ling Cheng, Wei Wei, Feida Zhu, Yong Liu, Chunyan Miao:
Geometry-Entangled Visual Semantic Transformer for Image Captioning. CoRR abs/2109.14137 (2021) - 2020
- [j1]Ling Cheng, Wei Wei, Xianling Mao, Yong Liu, Chunyan Miao:
Stack-VS: Stacked Visual-Semantic Attention for Image Caption Generation. IEEE Access 8: 154953-154965 (2020)
2010 – 2019
- 2019
- [i1]Wei Wei, Ling Cheng, Xianling Mao, Guangyou Zhou, Feida Zhu:
Stack-VS: Stacked Visual-Semantic Attention for Image Caption Generation. CoRR abs/1909.02489 (2019)
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