Stack-VS: Stacked Visual-Semantic Attention for Image Caption Generation. - Wei Wei 002; Ling Cheng 002; Xianling Mao; Guangyou Zhou; Feida Zhu 001 (CoRR, 2019)

Stack-VS: Stacked Visual-Semantic Attention for Image Caption Generation. - Ling Cheng 002; Wei Wei 002; Xianling Mao; Yong Liu 020; Chunyan Miao (IEEE Access, 2020)

On Decentralization of Bitcoin: An Asset Perspective. - Ling Cheng 002; Feida Zhu 001; Huiwen Liu; Chunyan Miao (CoRR, 2021)

Geometry-Entangled Visual Semantic Transformer for Image Captioning. - Ling Cheng 002; Wei Wei 002; Feida Zhu 001; Yong Liu 020; Chunyan Miao (CoRR, 2021)

Toward Intention Discovery for Early Malice Detection in Bitcoin. - Ling Cheng 002; Feida Zhu 001; Yong Wang 021; Huiwen Liu (CoRR, 2022)

Code Will Tell: Visual Identification of Ponzi Schemes on Ethereum. - Xiaolin Wen; Kim Siang Yeo; Yong Wang 021; Ling Cheng 002; Feida Zhu 001; Min Zhu 005 (CHI Extended Abstracts, 2023)

Just Adjust One Prompt: Enhancing In-Context Dialogue Scoring via Constructing the Optimal Subgraph of Demonstrations and Prompts. - Jiashu Pu; Ling Cheng 002; Lu Fan; Tangjie Lv; Rongsheng Zhang (EMNLP, 2023)

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)

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

Examining the Effect of Pre-training on Time Series Classification. - Jiashu Pu; Shiwei Zhao; Ling Cheng 002; Yongzhu Chang; Runze Wu 001; Tangjie Lv; Rongsheng Zhang (CoRR, 2023)

A Full-History Network Dataset for BTC Asset Decentralization Profiling. - Ling Cheng 002; Qian Shao; Fengzhu Zeng; Feida Zhu 001 (IEEE Big Data, 2024)

Crafting a Good Prompt or Providing Exemplary Dialogues? A Study of In-Context Learning for Persona-based Dialogue Generation. - Jiashu Pu; Yajing Wan; Yuru Zhang; Jing Chen; Ling Cheng 002; Qian Shao; Yongzhu Chang; Tangjie Lv; Rongsheng Zhang (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)

Proof-of-Data: A Consensus Protocol for Collaborative Intelligence. - Huiwen Liu; Feida Zhu 001; Ling Cheng 002 (CoRR, 2025)

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)

Early Detection of Malicious Crypto Addresses With Asset Path Tracing and Selection. - Ling Cheng 002; Feida Zhu 001; Qian Shao; Jiashu Pu; Fengzhu Zeng (IEEE Trans. Knowl. Data Eng., 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)