Built with and by Teycir Ben Soltane•
How to Use•FAQ•GitHub•arXiv.org•
Share:
ArXivCSExplorer
☆☆Bookmarks🏆RSSHow to UseFAQ
Home/Authors/Fan Zhou

Fan Zhou

5 indexed papers

Recent (6 mo)
5
With code
0
Influential cites
0
Benchmarked
0

Publications per year

5
26

Top categories

AI×4Crypto×3NLP×2

Frequent co-authors

Hang Yin2×
Shunfan Zhou2×
Shangheng Du1×
Xiangchao Yan1×
Jinxin Shi1×
Zongsheng Cao1×

Research Timeline

2026
PASS: A Provenanced Access Subaccount System for Blockchain Wallets

The paper introduces PASS, a Provenanced Access Subaccount System that replaces traditional key-based control with verifiable provenance-based control for blockchain wallets, enabling secure, multi-actor access.

Decompose to Understand, Fuse to Detect: Frequency-Decoupled Anomaly Detection for Encrypted Network Traffic

The paper proposes FreeUp, a frequency-decoupled framework that improves encrypted network anomaly detection by separately modeling and fusing low- and high-frequency components of traffic data.

SPADER: Step-wise Peer Advantage with Diversity-Aware Exploration Rewards for Multi-Answer Question Answering

SPADER is a novel reinforcement learning framework that addresses the challenges of Multi-Answer Question Answering by improving credit assignment and promoting diverse exploration during long-horizon tool use.

Implement Kubernetes Pod-Level Remote Attestation for Confidential Workloads on dstack

dstack-capsule is a Kubernetes platform that enables fine-grained, Pod-level remote attestation on Intel TDX, allowing multiple confidential workloads to share a single VM without sacrificing security or incurring excessive resource overhead.

MLEvolve: A Self-Evolving Framework for Automated Machine Learning Algorithm Discovery

MLEvolve is a novel self-evolving multi-agent framework that enables LLM agents to discover and optimize machine learning algorithms for complex, long-horizon tasks.

Highlighted terms show continued research focus across papers

Papers

cs.AIcs.CLRecentJun 4, 2026

MLEvolve: A Self-Evolving Framework for Automated Machine Learning Algorithm Discovery

Shangheng Du, Xiangchao Yan, Jinxin Shi, Zongsheng Cao +10 more

MLEvolve is a novel self-evolving multi-agent framework that enables LLM agents to discover and optimize machine learning algorithms for complex, long-horizon tasks.

View →
cs.CRcs.AIRecentJun 2, 2026

Implement Kubernetes Pod-Level Remote Attestation for Confidential Workloads on dstack

Yang Yang, Kevin Wang, Yuanhai Luo, Hang Yin +3 more

dstack-capsule is a Kubernetes platform that enables fine-grained, Pod-level remote attestation on Intel TDX, allowing multiple confidential workloads to share a single VM without sacrificing security…

View →
cs.CLcs.AIRecentMay 30, 2026

SPADER: Step-wise Peer Advantage with Diversity-Aware Exploration Rewards for Multi-Answer Question Answering

Qiming Shi, Zhaolu Kang, Yunfan Zhou, Di Weng +1 more

SPADER is a novel reinforcement learning framework that addresses the challenges of Multi-Answer Question Answering by improving credit assignment and promoting diverse exploration during long-horizon…

View →
cs.CRcs.AIRecentMay 3, 2026

Decompose to Understand, Fuse to Detect: Frequency-Decoupled Anomaly Detection for Encrypted Network Traffic

Xinglin Lian, Chengtai Cao, Ting Zhong, Yong Wang +2 more

The paper proposes FreeUp, a frequency-decoupled framework that improves encrypted network anomaly detection by separately modeling and fusing low- and high-frequency components of traffic data.

View →
cs.CRRecentApr 24, 2026

PASS: A Provenanced Access Subaccount System for Blockchain Wallets

Jay Yu, Shunfan Zhou, Hang Yin, Brian Seong

The paper introduces PASS, a Provenanced Access Subaccount System that replaces traditional key-based control with verifiable provenance-based control for blockchain wallets, enabling secure, multi-ac…

View →