collaborators

7 papers

cs.AI2026

EVOQUANT: Self-Evolving Verifier-Guided Strategy Optimization for Robust Quantitative Trading

Jie Mao, Changlun Li, Xiang Li +6

Quantitative strategy optimization remains largely manual, requiring domain experts to identify weak signals, tune risk-control rules, and repeatedly validate iterative revisions.…

cs.AI2026

MagicAgent: Towards Generalized Agent Planning

Xuhui Ren, Shaokang Dong, Chen Yang +21

The evolution of Large Language Models (LLMs) from passive text processors to autonomous agents has established planning as a core component of modern intelligence. However, achiev…

cs.CL2026

Janus-Q: End-to-End Event-Driven Trading via Hierarchical-Gated Reward Modeling

Xiang Li, Zikai Wei, Yiyan Qi +6

Financial market movements are often driven by discrete financial events conveyed through news, whose impacts are heterogeneous, abrupt, and difficult to capture under purely numer…

cs.CE2025

DeltaLag: Learning Dynamic Lead-Lag Patterns in Financial Markets

Wanyun Zhou, Saizhuo Wang, Mihai Cucuringu +5

The lead-lag effect, where the price movement of one asset systematically precedes that of another, has been widely observed in financial markets and conveys valuable predictive si…

cs.LG2025

FinKario: Event-Enhanced Automated Construction of Financial Knowledge Graph

Xiang Li, Penglei Sun, Wanyun Zhou +3

Individual investors are significantly outnumbered and disadvantaged in financial markets, overwhelmed by abundant information and lacking professional analysis. Equity research re…

cs.CE2025

Unleashing Expert Opinion from Social Media for Stock Prediction

Wanyun Zhou, Saizhuo Wang, Xiang Li +3

While stock prediction task traditionally relies on volume-price and fundamental data to predict the return ratio or price movement trend, sentiment factors derived from social med…

cs.CL2025

The Multi-Round Diagnostic RAG Framework for Emulating Clinical Reasoning

Penglei Sun, Yixiang Chen, Xiang Li +1

In recent years, accurately and quickly deploying medical large language models (LLMs) has become a trend. Among these, retrieval-augmented generation (RAG) has garnered attention…