Junda Wu

Density-Conditioned Intensity–Topology Decoupling in Directed Global Stock-Market Volatility Networks: Effective Transfer Entropy and Path Homology

Xueda Wei, Qiqi Gu, Junda Wu

Weighted directed networks can exhibit stronger aggregate interactions without becoming more integrated or topologically richer. Using daily prices for 32 stock indices over 2006–2026, we construct effective transfer entropy (ETE) networks from range-based variance states and recompute GLMY path homology over a …

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How Are Green Financial Markets Linked to Green Cryptocurrency Return States? Evidence from a Cross-Quantilogram Approach

Qiqi Gu, Junda Wu, Jian Yao

This paper examines directional quantile dependence from green bonds, clean energy markets, and carbon markets to the return states of five literature-classified green cryptocurrencies. Using daily returns from 25 September 2019 to 23 May 2025, we estimate static cross-quantilograms on a 19×19 …

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How Stablecoins Reshape Interactions Within a Fragmented USD-Access System: Evidence from a Time-Frequency TVP-VAR Connectedness Model

Qiqi Gu, Ying Liu, Junda Wu, Xuan Zhu

This paper examines return connectedness among four channels for obtaining U.S.-dollar exposure in Argentina: the official USD/ARS rate, the informal Blue Dollar rate, and USDT/ARS prices on Binance and Bitso. We use 669 matched-date daily returns and a time-varying parameter VAR connectedness …

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SafeGEO: Understanding Generative Engine Optimization Risks in Recommendation Agents

Qianfeng Wen, Yifan Simon Liu, Xin Liu, Difan Jiao et autres

Generative Engine Optimization (GEO) lets content owners rewrite web content to increase their visibility in generative systems. In recommendation agents, this creates a risk that sources controlled by sellers make flawed products appear better supported than they are. We study this risk …

Supply Chain Shocks and the Reconfiguration of Green Finance Markets: A Quantile-on-Quantile Connectedness Analysis

J Yao, Junda Wu, Haoyuan Feng, Jiajing Sun

Supply chain disruptions have become a major source of macro-financial stress, yet their implications for green finance remain underexplored. This paper investigates the state-dependent connectedness between supply-side bottlenecks and the green finance market, represented by clean energy equities, green bonds, and carbon …

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Risk Propagation and System Resilience in Sustainable–Digital Finance: A Time–Frequency Higher-Order Moment Analysis of Green Finance, Green Cryptocurrency, and Non-Green Cryptocurrency Markets

Junda Wu, J Yao, J F Sun

This study examines risk connectedness among sustainable and digital assets from 24 September 2019 to 26 May 2025. The sample contains three green finance indices, five literature-based green cryptocurrencies, and five literature-based non-green/conventional cryptocurrencies. We estimate conditional volatility, skewness, and kurtosis using …

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Stablecoins, Risk Transmission and Systemic Reconfiguration in a Fragmented USD Access System: Evidence from Quantile Time-Frequency Analysis

Junda Wu, Jiajing Sun, Haoyuan Feng, Fei Long

In high-inflation economies, stablecoins are increasingly becoming infrastructural channels through which households and firms access U.S.-dollar value outside traditional financial arrangements. We study Argentina as a fragmented USD access system composed of a regulated official channel, an informal parallel channel (the Blue …

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MASS-DPO: Multi-negative Active Sample Selection for Direct Policy Optimization

Rohan Surana, Xintong Li, Shuying Yu, Yiran Jenny Shen et autres

Multi-negative preference optimization under the Plackett--Luce (PL) model extends Direct Preference Optimization (DPO) by leveraging comparative signals across one preferred and multiple rejected responses. However, optimizing over large negative pools is costly, and many candidates contribute redundant gradients due to their similar …

MusiCRS: Benchmarking Audio-Centric Conversational Recommendation

Rohan Surana, Amit Namburi, Gagan Mundada, Abhay Lal et autres

Conversational recommendation has advanced rapidly with large language models (LLMs), yet music remains a uniquely challenging domain in which effective recommendations require reasoning over audio content beyond what text or metadata can capture. We present MusiCRS, the first benchmark for audio-centric conversational …

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A Survey on LLM-based Conversational User Simulation

Association for Computational Linguistics 2026, Samyadeep Basu, Trung Bui, Hongjie Chen et autres

User simulation has long played a vital role in computer science due to its potential to support a wide range of applications. Language, as the primary medium of human communication, forms the foundation of social interaction and behavior. Consequently, simulating conversational behavior …

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SPF GDP Forecast-Tail Revisions and Growth-Relative Return Spreads

Junda Wu, Liyuan Luan, Jiajing Sun, Haoyuan Feng

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Preserving exposed hydrophilic bumps on multi-bioinspired slippery surface arrays unlocks high-efficiency fog collection and photocatalytic cleaning

Junda Wu, Chunxiang Li, Jiangdong Dai, Yan Yan

Abstract The efficiency of fog collection technologies is inherently hindered by the long-standing dilemma of capture vs. transportation balance. Inspired by nature, we address this issue by preserving hydrophilic bumps on slippery liquid-infused porous surfaces (SLIPS) through an underwater infusion strategy, creating …

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