activity
20232026
most citedRise of the Community Champions: From Reviewer Crunch to Community Power

1 citations · 1 across the 9 of their papers we have counts for

collaborators

11 papers

cs.AI2026

When Better Gets Worse: Improvement Fidelity for Self-Improving Agents in Adaptive Worlds

Ke Wang, Zijie Zhao, Zhiyi Yuan +1

Self-improving agents increasingly rely on proxy verifiers to choose policy updates, yet deployment can change the world in which those updates are evaluated. An update that looks…

cs.AI2026

Can Agentic Trading Systems Pay for Their Own Intelligence?

Qiqi Duan, Changlun Li, Chen Wang +10

Large language model (LLM) agents are increasingly used in trading systems, where model reasoning, tool use, and continual decisions incur costs that are expected to produce tradin…

cs.AI2026

NextFund: A Unified Performance Tracking Platform for Agentic Portfolio Management

Changlun Li, Peixian Ma, Qiqi Duan +2

Large language models (LLMs) based agents are beginning to participate in portfolio construction and market analysis, where decisions must be justified under evolving information a…

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.DB2026

Are Diffusion Language Models Good Database Analysts?

Peixian Ma, Xialie Zhuang, Jiantao Tan +3

Diffusion Language Models (DLMs) enable iterative global refinement, but their effectiveness in Natural Language to SQL (NL2SQL) remains unclear because heterogeneous architectures…

cs.AI2026

TABQAWORLD: Optimizing Multimodal Reasoning for Multi-Turn Table Question Answering

Tung Sum Thomas Kwok, Xinyu Wang, Xiaofeng Lin +7

Multimodal reasoning has emerged as a powerful framework for enhancing reasoning capabilities of reasoning models. While multi-turn table reasoning methods have improved reasoning…

cs.CE2025

Time Travel is Cheating: Going Live with DeepFund for Real-Time Fund Investment Benchmarking

Changlun Li, Yao Shi, Chen Wang +7

Large Language Models (LLMs) have demonstrated notable capabilities across financial tasks, including financial report summarization, earnings call transcript analysis, and asset c…

cs.SI2025★ 1 cited

Rise of the Community Champions: From Reviewer Crunch to Community Power

Changlun Li, Yao Shi, Yuyu Luo +1

Academic publishing is facing a crisis driven by exponential growth in submissions and an overwhelmed peer review system, leading to inconsistent decisions and a severe reviewer sh…

cs.MA2025

Will LLMs be Professional at Fund Investment? DeepFund: A Live Arena Perspective

Changlun Li, Yao Shi, Yuyu Luo +1

Large Language Models (LLMs) have demonstrated impressive capabilities across various domains, but their effectiveness in financial decision-making remains inadequately evaluated.…

cs.CL2024

SketchFill: Sketch-Guided Code Generation for Imputing Derived Missing Values

Yunfan Zhang, Changlun Li, Yuyu Luo +1

Missing value is a critical issue in data science, significantly impacting the reliability of analyses and predictions. Missing value imputation (MVI) is a longstanding problem bec…

cs.CY2023

Learning Analytics from Spoken Discussion Dialogs in Flipped Classroom

Hang Su, Borislav Dzodzo, Changlun Li +5

The flipped classroom is a new pedagogical strategy that has been gaining increasing importance recently. Spoken discussion dialog commonly occurs in flipped classroom, which embed…