Zibin Zheng

An Active and Deep Semantic Matching Framework for Query Rewrite in E-Commercial Search Engine

2019

In order to make the query retrieve much more related products, some query rewrite methods have been proposed to obtain a set of candidate queries which can infer users' search intents and reduce the vocabulary …

XBlock-EOS: Extracting and Exploring Blockchain Data From EOSIO

2020 · arXiv (Cornell University)

Blockchain-based cryptocurrencies and applications have flourished in blockchain research community. Massive data generated from diverse blockchain systems bring not only huge business values but also technological challenges in data analytics of heterogeneous blockchain data. Different …

Phishing Scam Detection on Ethereum: Towards Financial Security for Blockchain Ecosystem

2020

In recent years, blockchain technology has created a new cryptocurrency world and has attracted a lot of attention. It also is rampant with various scams. For example, phishing scams have grabbed a lot of money …

Neighboring Backdoor Attacks on Graph Convolutional Network

2022 · arXiv (Cornell University)

Backdoor attacks have been widely studied to hide the misclassification rules in the normal models, which are only activated when the model is aware of the specific inputs (i.e., the trigger). However, despite their success …

Listening to Users' Voice: Automatic Summarization of Helpful App Reviews

2022 · IEEE Transactions on Reliability

App reviews are crowdsourcing knowledge of user experience with the apps, providing valuable information for app release planning, such as major bugs to fix and important features to add. There exist prior explorations on app …

RiskProp: Account Risk Rating on Ethereum via De-anonymous Score and Network Propagation

2023 · arXiv (Cornell University)

As one of the most popular blockchain platforms supporting smart contracts, Ethereum has caught the interest of both investors and criminals. Differently from traditional financial scenarios, executing Know Your Customer verification on Ethereum is rather …

Definition and Detection of Defects in NFT Smart Contracts

2023 · arXiv (Cornell University)

Recently, the birth of non-fungible tokens (NFTs) has attracted great attention. NFTs are capable of representing users' ownership on the blockchain and have experienced tremendous market sales due to their popularity. Unfortunately, the high value …

Slingshot: Globally Favorable Local Updates for Federated Learning

2024 · IEEE Open Journal of the Computer Society

Federated Learning (FL), as a promising distributed learning paradigm, is proposed to solve the contradiction between the data hunger of modern machine learning and the increasingly stringent need for data privacy. However, clients naturally present …

DenseFlow: Spotting Cryptocurrency Money Laundering in Ethereum Transaction Graphs

2024

In recent years, money laundering crimes on blockchain, especially on Ethereum, have become increasingly rampant, resulting in substantial losses. The unique features of money laundering on Ethereum, such as decentralization and pseudonymity, pose new challenges …

BrokerChain: A Blockchain Sharding Protocol by Exploiting Broker Accounts

2024 · arXiv (Cornell University)

State-of-the-art blockchain sharding solutions such as Monoxide, can cause severely imbalanced distribution of transaction (TX) workloads across all blockchain shards due to the deployment policy of their accounts. Imbalanced TX distributions then produce hot shards, …

Mitigating Social Bias in Large Language Models: A Multi-Objective Approach within a Multi-Agent Framework

2024 · arXiv (Cornell University)

Natural language processing (NLP) has seen remarkable advancements with the development of large language models (LLMs). Despite these advancements, LLMs often produce socially biased outputs. Recent studies have mainly addressed this problem by prompting LLMs …

Defining and Detecting the Defects of the Large Language Model-based Autonomous Agents

2024 · arXiv (Cornell University)

AI agents are systems capable of perceiving their environment, autonomously planning and executing tasks. Recent advancements in LLM have introduced a transformative paradigm for AI agents, enabling them to interact with external resources and tools …

HumanEvo: An Evolution-Aware Benchmark for More Realistic Evaluation of Repository-Level Code Generation

2025

To evaluate the repository-level code generation capabilities of Large Language Models (LLMs) in complex real-world software development scenarios, many evaluation methods have been developed. These methods typically leverage contextual code from the latest version of …

Federated Domain Generalization with Decision Insight Matrix

2025

Federated domain generalization addresses the crucial challenge of developing models that can generalize across diverse domains while maintaining data privacy in federated learning settings. Current approaches either compromise privacy constraints or focus narrowly on specific …

SWE Data Construction, Automatically!

2026 · Proceedings of the ACM on software engineering.

Constructing large-scale datasets for the GitHub issue resolution task is crucial for both training and evaluating the software engineering capabilities of Large Language Models (LLMs). However, the existing GitHub issue resolution data construction pipeline is …