activity
20212023
most citedBERT4ETH: A Pre-trained Transformer for Ethereum Fraud Detection

84 citations · 106 across the 7 of their papers we have counts for

collaborators

7 papers

cs.AI2023★ 5 cited

Live Graph Lab: Towards Open, Dynamic and Real Transaction Graphs with NFT

Zhen Zhang, Bingqiao Luo, Shengliang Lu +1

Numerous studies have been conducted to investigate the properties of large-scale temporal graphs. Despite the ubiquity of these graphs in real-world scenarios, it's usually imprac…

cs.SI2023

EX-Graph: A Pioneering Dataset Bridging Ethereum and X

Qian Wang, Zhen Zhang, Zemin Liu +3

While numerous public blockchain datasets are available, their utility is constrained by an exclusive focus on blockchain data. This constraint limits the incorporation of relevant…

cs.CE2023★ 4 cited

AI-powered Fraud Detection in Decentralized Finance: A Project Life Cycle Perspective

Bingqiao Luo, Zhen Zhang, Qian Wang +3

In recent years, blockchain technology has introduced decentralized finance (DeFi) as an alternative to traditional financial systems. DeFi aims to create a transparent and efficie…

cs.CR2023★ 84 cited

BERT4ETH: A Pre-trained Transformer for Ethereum Fraud Detection

Sihao Hu, Zhen Zhang, Bingqiao Luo +3

As various forms of fraud proliferate on Ethereum, it is imperative to safeguard against these malicious activities to protect susceptible users from being victimized. While curren…

q-fin.ST2022★ 2 cited

Sequence-Based Target Coin Prediction for Cryptocurrency Pump-and-Dump

Sihao Hu, Zhen Zhang, Shengliang Lu +2

With the proliferation of pump-and-dump schemes (P&Ds) in the cryptocurrency market, it becomes imperative to detect such fraudulent activities in advance to alert potentially susc…

cs.DB2021★ 1 cited

ThunderRW: An In-Memory Graph Random Walk Engine (Complete Version)

Shixuan Sun, Yuhang Chen, Shengliang Lu +2

As random walk is a powerful tool in many graph processing, mining and learning applications, this paper proposes an efficient in-memory random walk engine named ThunderRW. Compare…

cs.DB2021★ 10 cited

Cache-Efficient Fork-Processing Patterns on Large Graphs

Shengliang Lu, Shixuan Sun, Johns Paul +2

As large graph processing emerges, we observe a costly fork-processing pattern (FPP) that is common in many graph algorithms. The unique feature of the FPP is that it launches many…