CS Ph.D. Candidate @ National University of Singapore · Advisor: Prof. Bingsheng He

Hi! I work on LLM for Finance: teaching LLMs to read financial text and turn it into investment decisions, with a focus on:

• Financial Benchmarks & Data: building the datasets this field is missing, e.g., CrossAlpha (EMNLP’26) and EX-Graph (ICLR’24);
• LLM Trading Agents: agents that reason over market information and act on it, e.g., CryptoTrade (EMNLP’24); and
• Trustworthy LLM Judgment: auditing (COLM’25) and mitigating (ICML’26 AI4GOOD Workshop) the biases of LLM judges, so that financial decisions rest on unbiased judgment.

Beyond finance, I work on LLM multi-agent systems (MegaAgent, ACL’25: a 590-agent fully autonomous system) and graph learning. My work has appeared at ICLR, NeurIPS, ICML, ACL, EMNLP, COLM, and LOG, with several Oral presentations and an Outstanding Reviewer Award (EACL 2026).

I am always happy to chat about research, collaborations, PhD applications, or life choices. Reach me at persdre@gmail.com.

📰 News

📝 Selected Publications

Click a topic to filter; my name is shown in bold. The complete list is on my Google Scholar

EMNLP 2026 Findings CrossAlpha: An Annual-Report Benchmark for Cross-Market Factor Research A public annual-report benchmark testing whether firm disclosures in one market predict stock returns in another. Paper Qian Wang, Z. Tong, N. Chen, Z. Wu, B. He

ICLR 2025 Financial AI Workshop Exploring LLM Cryptocurrency Trading Through Fact-Subjectivity Aware Reasoning Splits crypto-trading reasoning into factual and subjective paths, improving LLM trading decisions. Paper Code Qian Wang, Y. Gao, Z. Tang, B. Luo, N. Chen, B. He

EMNLP 2024 CryptoTrade: A Reflective LLM-based Agent to Guide Zero-shot Cryptocurrency Trading A reflective LLM agent that fuses on-chain and off-chain signals for zero-shot cryptocurrency trading. Paper Code Y. Li, B. Luo, Qian Wang, N. Chen, X. Liu, B. He

ACL 2025 Findings ICLR 2025 FM-Wild Workshop Oral MegaAgent: A Large-Scale Autonomous LLM-based Multi-Agent System Without Predefined SOPs An autonomous multi-agent framework that decomposes tasks, spawns agents on the fly, and coordinates up to 590 of them without predefined SOPs. Paper Code Qian Wang, T. Wang, Z. Tang, Q. Li, N. Chen, J. Liang, B. He

ICML 2025 Multi-Agent Systems Workshop AgentTaxo: Dissecting and Benchmarking Token Distribution of LLM Multi-Agent Systems Dissects where tokens actually go inside LLM multi-agent systems and benchmarks their token efficiency. Paper Qian Wang, Z. Tang, N. Chen, T. Wang, B. He

ACL 2026 Findings Diversity Collapse in Multi-Agent LLM Systems: Structural Coupling and Collective Failure in Open-Ended Idea Generation Shows how tightly-coupled multi-agent LLM discussion collapses open-ended idea generation into the same few ideas. N. Chen, Y. Tong, Y. Yang, X. Zhang, Qian Wang, B. He

COLM 2025 Assessing Judging Bias in Large Reasoning Models: An Empirical Study An empirical audit of large reasoning models as judges, uncovering systematic bandwagon, authority, and position biases. Paper Qian Wang, Z. Lou, Z. Tang, N. Chen, X. Zhao, W. Zhang, D. Song, B. He

NeurIPS 2025 Lock-LLM Workshop Towards Evaluating Fake Reasoning Bias in Language Models Shows LLM judges reward text that merely looks like reasoning, and builds a benchmark to measure this bias. Paper Qian Wang, Z. Tang, Z. Lou, N. Chen, W. Wang, B. He

Preprint 2025 JudgeLRM: Large Reasoning Models as a Judge Trains large reasoning models into better judges with judgment-oriented reinforcement learning. Paper N. Chen, Z. Hu, Q. Zou, J. Wu, Qian Wang, B. Hooi, B. He

ICML 2026 AI4GOOD Workshop Treat Bias as Noise: Training Bias-Robust LLM Reasoning via Reinforcement Learning RL training that treats biased cues as noise, yielding LLM reasoning that stays robust on biased prompts. Paper Qian Wang, X. Zhao, Z. Zhang, Z. Lou, N. Chen, D. Song, B. He

Preprint 2026 Learning to Learn-at-Test-Time: Language Agents with Learnable Adaptation Policies Language agents with learnable policies that decide how to adapt themselves at test time. Paper Z. Lou, H. Chen, Y. Li, Qian Wang, B. Hooi

Preprint 2026 RL-RIG: A Generative Spatial Reasoner via Intrinsic Reflection A generative spatial reasoner that learns to reflect on its own intermediate steps via reinforcement learning. Paper T. Wang, Z. Ma, Qian Wang, X. Zhang, X. Long, B. Zhou

ICLR 2026 Oral LLM DNA: Tracing Model Evolution via Functional Representations Gives every LLM a functional 'DNA' embedding, making model lineage and evolution traceable across families. Paper Z. Wu, H. Zhao, Z. Wang, J. Guo, Qian Wang, B. He

AACL-IJCNLP 2026 Main LLM Agent Memory: A Survey from a Unified Representation–Management Perspective A survey unifying LLM agent memory research under one representation–management framework. Paper Z. Tang, X. He, T. Zhao, F. Wei, X. Liu, P. Dong, Qian Wang, et al.

ICML 2026 Agents-in-the-Wild Workshop Parameters as Agentic Memory: Internalizing Long-Horizon Memories for Efficient LLM Agents Internalizes an agent's long-horizon memory into model parameters instead of ever-growing context. Z. Tang, F. Wei, P. Dong, X. Liu, Qian Wang, X. Chu, B. Li

ICLR 2024 EX-Graph: A Pioneering Dataset Bridging Ethereum and X The first public dataset linking Ethereum transaction wallets with X (Twitter) accounts. Paper Code Qian Wang, Z. Zhang, Z. Liu, S. Lu, B. Luo, B. He

LOG 2025 Oral Less is More: Using Buffer Nodes to Reduce Excessive Majority Node Influence in Class Imbalance Graphs Inserts buffer nodes into graphs to damp excessive majority-class influence in imbalanced node classification. Paper Qian Wang, Z. Liu, Z. Zhang, B. Luo, B. He

NeurIPS 2024 Datasets & Benchmarks Multi-Chain Graphs of Graphs: A New Approach to Analyzing Blockchain Datasets A graphs-of-graphs dataset spanning multiple blockchains, enabling cross-chain analysis. Paper B. Luo, Z. Zhang, Qian Wang, B. He

IEEE TKDE 2025 A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future Directions A systematic survey of imbalanced learning on graphs: problems, techniques, and future directions. Paper Z. Liu, Y. Li, N. Chen, Qian Wang, B. Hooi, B. He

Preprint 2025 LLM-based Human Simulations Have Not Yet Been Reliable Argues LLM-based human simulations are not yet reliable, and maps out where and why they fail. Paper Qian Wang, J. Wu, Z. Tang, B. Luo, N. Chen, W. Chen, B. He

ICLR 2025 Blogposts Can LLM Simulations Truly Reflect Humanity? A Deep Dive A deep dive into whether LLM simulations truly reflect human behavior. Paper Qian Wang, Z. Tang, B. He

📖 Education

💼 Experience

🏆 Awards

1. 2026

   Outstanding Reviewer Award

   EACL 2026
2. 2025

   Graduate Student Travel Grant × 2

   National University of Singapore
3. 2024

   Research Achievement Award

   National University of Singapore

   Top 10%of Ph.D. students
4. 2024

   Venture Initiation Program @ SoC

   National University of Singapore

   10K SGDStartup funding
5. 2019 – 2022

   Ong Sin Seng & Lim Song Kie Bursary

   National University of Singapore
6. 2019

   Academic Scholarship

   Shanghai Jiao Tong University
7. 2018

   Soh Bing Undergraduate Scholarship

   Shanghai
8. 2017 – 2018

   Zhiyuan Honors Scholarship × 2

   Shanghai Jiao Tong University

   Top 5%of all undergraduates
9. 2017

   Zhiyuan Honors Program

   Shanghai Jiao Tong University

   Top 5%of all undergraduates
10. 2016

    Soh Bing High School Student Scholarship

    Fuyang

🎤 Invited Talks & Interviews

🔥 Service

• 2025 — Local Organizer, ICAIF 2025 Secure FinAI Contest
• 2023 – Now — Seminar Organizer, Xtra Lab, NUS
• 2023 – Now — Fire Warden, School of Computing, NUS

💬 Misc

• SurviveSJTU Manual: I authored a chapter for the latest edition of the SurviveSJTU Manual, an online survival guide for students at Shanghai Jiao Tong University. See the manual and my contributions on GitHub.