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Dan Hao

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Open access Sep 2026

Decomposing Ponzi Schemes: Multi-aspect Lifecycle Analysis for Detecting Fraudulent Smart Contracts

Smart contracts have enabled decentralized financial applications, enabling trustless and transparent asset management. However, their programmability also expands the attack surface, allowing adversaries to encode fraudulent economic behaviors directly into contract logic. Among these threats, Smart Contract Ponzi Sch...

Yi-Zhou Chen, Ze-Yu Sun, Guo-Qing Wang et al. · 0 citations
#reinforcement learning Open access Oct 2026

From Greedy Steps to Global Optimization: Learning Sequential Test Suite Generation

With the rapid evolution of Large Language Models (LLMs), automated software testing is witnessing a paradigm shift. While proprietary models like GPT-4o demonstrate impressive capabilities, their high deployment costs and data privacy concerns make open-source LLMs the practical imperative for many academic and indust...

Guo-Qing Wang, Cheng-Ran Yang, Xiao-Xuan Zhou et al. · 0 citations
Jul 2026

WarmTuner: Program-Specific Warm Starts for Compiler Autotuning via Offline-to-Online Reinforcement Learning

WarmTuner is an offline-to-online reinforcement learning framework that turns historical records into a program-conditioned policy that predicts each flag's setting over the full flag space and remains adaptable on the target program and significantly outperforming the compared techniques.

Tianlu Qiao, Mingxuan Zhu, Ze-Yu Sun et al. · 0 citations
Preprint Open access Aug 2026

CausalRepair: Bridging the Causality Gap in Large Language Model-Based Automated Program Repair via Dual-Slicing

CausalRepair is proposed, a conversation-driven APR framework based on minimal causal context, i.e., the essential dependencies required to explain a failure, outperforming state-of-the-art approaches such as ReinFix and TSAPR, while reducing the average repair cost to $0.029 per bug.

Lin-Hao Wu, Yi-Zhou Chen, Zhen Yang et al. · 0 citations
Book Open access Jul 2026

PurifAI: Detecting and Fixing Search-Induced Distortions in Web-Augmented LLMs

PurifAI, a proactive, model-agnostic, cache-level purification system designed for safety- and compliance-sensitive deployments, is presented, explicitly designed to preserve knowledge alignment with a pre-defined trusted knowledge core.

Guoqing Wang, Zhao Zhang, Zeyu Sun et al. · 0 citations

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