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20242026
most citedAI-Empowered Catalyst Discovery: A Survey from Classical Machine Learning Approaches to Large Language Models

3 citations · 5 across the 8 of their papers we have counts for

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cs.CR2026

HYDRA: Proactive Android Malware Drift Adaptation via Hierarchical Graph Contrastive Learning

Han Chen, Hanchen Wang, Hongmei Chen +3

Concept drift, driven by the rapid evolution of Android malware, severely degrades the performance of machine learning detectors. Current adaptation strategies are often reactive,…

cs.AI2026

ISO-RAG: Isoperimetric Noise Control for Retrieval-Augmented Generation

Siyuan Zhang, Hanchen Wang, Dong Wen +2

Retrieval-Augmented Generation (RAG) mitigates large language models (LLMs) hallucinations, yet conventional dense retrieval struggles with the complex reasoning paths of multi-hop…

cs.DB2026

RLMiner: Finding the Most Frequent k-sized Subgraph via Reinforcement Learning

Wei Huang, Hanchen Wang, Dong Wen +4

Identifying the most frequent induced subgraph of size in a target graph is a fundamental graph mining problem with direct implications for Web-related data mining and social n…