activity
20192026
most citedBehavior-aware Account De-anonymization on Ethereum Interaction Graph

109 citations · 339 across the 38 of their papers we have counts for

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Showing 2026Show all

6 papers · 1 filter

cs.SE2026

AgentS4D: Benchmarking Runtime Risks across the Execution Lifecycle of LLM-Based Workspace Agents

Jiajun Zhou, Zhaoxuan Ke, Jihang Ye +3

Large language model (LLM)-based workspace agents execute stateful, multi-step workflows across heterogeneous resources, external tools, and persistent state. Their safety must the…

cs.CR2026

MemSecBench: Tracking Agent Memory Poisoning from Persistence to Consequence and Repair

Xuanze Chen, Xukang Xie, Wentao Fu +3

Memory systems allow agents to retain and reuse information from past interactions, but they can also let malicious content persist. A malicious instruction crafted by an attacker…

cs.LG2026

Learning How Much to Think: Difficulty-Aware Dynamic MoEs for Graph Node Classification

Jiajun Zhou, Yadong Li, Xuanze Chen +4

Mixture-of-Experts (MoE) architectures offer a scalable path for Graph Neural Networks (GNNs) in node classification tasks but typically rely on static and rigid routing strategies…

cs.LG2026

CrossHGL: A Text-Free Foundation Model for Cross-Domain Heterogeneous Graph Learning

Xuanze Chen, Jiajun Zhou, Yadong Li +2

Heterogeneous graph representation learning (HGRL) is essential for modeling complex systems with diverse node and edge types. However, most existing methods are limited to closed-…

gr-qc2026

Cosmic anisotropic hair of nonlocal RT gravity

Jiajun Zhou, Shuxun Tian, Zong-Hong Zhu

Nonlocal RT gravity has proven effective in explaining the late-time cosmic acceleration while remaining consistent with local gravity tests. However, most previous cosmological st…

cs.CR2026

Traffic-MoE: A Sparse Foundation Model for Network Traffic Security Analysis

Jiajun Zhou, Changhui Sun, Wentao Fu +3

As adversaries increasingly weaponize encryption and protocol obfuscation to evade traffic detection, traditional methods are rendered obsolete, necessitating deep learning to unma…