activity
20242026
most citedBioZero: Privacy-Preserving and Publicly Verifiable On-Chain Biometric Authentication via Homomorphic Commitments and Zero-Knowledge Proofs

4 citations · 5 across the 14 of their papers we have counts for

collaborators

14 papers

q-fin.CP2026

AlphaLogics: A Market Logic-Driven Multi-Agent System for Scalable and Interpretable Alpha Factor Generation

Zhangyuhua Weng, Shengli Zhang, Taotao Wang +1

Factor investing is ultimately grounded in market logic - the latent mechanism behind observed alpha factors that explains why they should persist across assets and regimes. Howeve…

cs.SD2026

TimberAgent: Gram-Guided Retrieval for Executable Music Effect Control

Shihao He, Yihan Xia, Fang Liu +2

Digital audio workstations expose rich effect chains, yet a semantic gap remains between perceptual user intent and low-level signal-processing parameters. We study retrieval-groun…

cs.NI2026

Agentic Peer-to-Peer Networks: From Content Distribution to Capability and Action Sharing

Taotao Wang, Lizhao You, Jingwen Tong +2

The ongoing shift of Artificial Intelligence (AI) from centralized cloud application programming interfaces (APIs) to local inference on edge devices is enabling Client-Side Autono…

cs.NI2026

From Raw Data to Shared 3D Semantics: Task-Oriented Communication for Multi-Robot Collaboration

Ruibo Xue, Jiedan Tan, Fang Liu +3

Multi-robot systems (MRS) rely on exchanging raw sensory data to cooperate in complex three-dimensional (3D) environments. However, this strategy often leads to severe communicatio…

cs.IT2026

Wireless Streamlet: A Spectrum-Aware and Cognitive Consensus Protocol for Edge IoT

Taotao Wang, Long Shi, Fang Liu +2

Blockchain offers a decentralized trust framework for the Internet of Things (IoT), yet deploying consensus in spectrum-congested and dynamic wireless edge IoT networks faces funda…

cs.NI2026

ZK-AMS: Credibly Anonymous Admission for Web 3.0 Platforms via Recursive Proof Aggregation

Zibin Lin, Taotao Wang, Shengli Zhang +3

Web 3.0 platforms need an onboarding mechanism that can admit real users at scale without forcing them to reveal identity documents or pay one on-chain verification cost per user.…

cs.NI2026

An LLM-Agent-Based Framework for Age of Information Optimization in Heterogeneous Random Access Networks

Fang Liu, Erchao Zhu, Jiedan Tan +3

With the rapid expansion of the Internet of Things (IoT) and heterogeneous wireless networks, the Age of Information (AoI) has emerged as a critical metric for evaluating the perfo…

cs.MA2025

DAO-Agent: Zero Knowledge-Verified Incentives for Decentralized Multi-Agent Coordination

Yihan Xia, Taotao Wang, Wenxin Xu +1

Autonomous Large Language Model (LLM)-based multi-agent systems have emerged as a promising paradigm for facilitating cross-application and cross-organization collaborations. These…

cs.NI2025

Binding Agent ID: Unleashing the Power of AI Agents with accountability and credibility

Zibin Lin, Shengli Zhang, Guofu Liao +2

Autonomous AI agents lack traceable accountability mechanisms, creating a fundamental dilemma where systems must either operate as ``downgraded tools'' or risk real-world abuse. Th…

cs.MA2025

HiveMind: Contribution-Guided Online Prompt Optimization of LLM Multi-Agent Systems

Yihan Xia, Taotao Wang, Shengli Zhang +3

Recent advances in LLM-based multi-agent systems have demonstrated remarkable capabilities in complex decision-making scenarios such as financial trading and software engineering.…

cs.CR2025

VeriLoRA: Fine-Tuning Large Language Models with Verifiable Security via Zero-Knowledge Proofs

Guofu Liao, Taotao Wang, Shengli Zhang +3

Fine-tuning large language models (LLMs) is crucial for adapting them to specific tasks, yet it remains computationally demanding and raises concerns about correctness and privacy,…

cs.CR2025★ 1 cited

Zero-Knowledge Federated Learning: A New Trustworthy and Privacy-Preserving Distributed Learning Paradigm

Taotao Wang, Yuxin Jin, Qing Yang +3

Federated Learning (FL) has emerged as a promising paradigm in distributed machine learning, enabling collaborative model training while preserving data privacy. However, despite i…

cs.CR2024

Programming on Bitcoin: A Survey of Layer 1 and Layer 2 Technologies in Bitcoin Ecosystem

Guofu Liao, Taotao Wang, Qing Yang +7

This paper surveys innovative protocols that enhance the programming functionality of the Bitcoin blockchain, a key part of the "Bitcoin Ecosystem." Bitcoin utilizes the Unspent Tr…

cs.CR2024★ 4 cited

BioZero: Privacy-Preserving and Publicly Verifiable On-Chain Biometric Authentication via Homomorphic Commitments and Zero-Knowledge Proofs

Zibin Lin, Taotao Wang, Junhao Lai +3

Decentralized identity systems promise user-controlled identifiers and cross-domain verification without a shared identity provider, yet authentication still reduces to possession…