Xisen Wang

I like to build self-evolving, autonomous systems that can scale. In particular, I study the science of networks of agents and organisational intelligence.

I'm a PhD student at the Columbia DAP Lab, co-advised by Prof. Eugene Wu and Prof. Kostis Kaffes. Previously, I did my master's thesis with the Torr Vision Group at Oxford, advised by Jindong Gu and Philip Torr.

Google Scholar · GitHub

Publications

Networks of Agents

Can AI Scientists Coordinate at Runtime?
Zijian Liu, Yangzhixin Luo, Junyu Lu, Yi Li, Yu Chen, David Xu, William F. Shen, Xinchi Qiu, Xisen Wang
arXiv preprint, 2026
How Should Your Agent Talk to Mine? Measuring the Utility–Security Frontier of Cross-Boundary Agentic Delegation
Xisen Wang, Adel Bibi, Kevin Qinghong Lin, Philip Torr, Jindong Gu
ICML Workshop on Agents in the Wild, 2026
Distributed Legal Infrastructure for a Trustworthy Agentic Web
Tomer Jordi Chaffer, Victor Jiawei Zhang, Sante Dino Facchini, Botao Amber Hu, Helena Rong, Zihan Guo, Xisen Wang, Carlos Santana, Giovanni De Gasperis
arXiv preprint, 2026
Revisiting Boids for Emergent Intelligence via Multi-Agent Collaborative Tool-Building
Xisen Wang, Qi Zhang
Workshop on Scaling Environments for Agents

Autonomous R&D Agents

R&D-Agent-Quant: A Multi-Agent Framework for Data-Centric Factors and Model Joint Optimization
Yuante Li, Xu Yang, Xiao Yang, Xisen Wang, Weiqing Liu, Jiang Bian
NeurIPS, 2025
Agent for Machine Learning: A Text-to-Model (T2M) Approach
Xisen Wang, Jingbo Zhao
Future of Information and Communication Conference (FICC), 2025
SSFF: Investigating LLM Predictive Capabilities for Startup Success through a Multi-Agent Framework
Xisen Wang, Yigit Ihlamur
arXiv preprint, 2024

Earlier Work

Data-centric Strategies for Carbon-efficient Carbon-intensity Forecasting
Xisen Wang, Noa Zilberman
Springer, 2025
White Noise Tests on the LSTM Model Trained with Double Pendulum
Xisen Wang
Journal of Physics: Conference Series, 2021