Wu, Yingcheng

An immune world model for multiscale forecasting and therapeutic hypothesis generation

Cui, T., Wang, X., Li, Z., Ding, J., You, L., Xu, Y., Xu, W., Wu, F., Ying, K., Ouyang, W., et al. (2026) · arXiv

Artificial Immune Systems ApplicationsCancer Immunotherapy and Biomarkers

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JEPA-Anything: Learning Predictive Models across Different Worlds

Cui, T., Wang, Z., Xu, X., Liu, W., Yu, Z., Zhang, Y., Gao, Q., Yang, M., Ouyang, W., Heng, P. A., et al. (2026) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

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ScienceBuddy: Recursive-in-Recursive Self-Improvement for Interactive Scientific Agents

Xue, S., Zhong, J., Nan, Z., Li, W., Yu, Z., Ding, J., Gao, Q., Zhan, P., Zhang, Y., Cheng, T., et al. (2026) · arXiv

Scientific Computing and Data ManagementArtificial Intelligence Applications

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Autogenesis: A Self-Evolving Agent Protocol

Zhang, W., Zhao, Z., Wen, H., Wu, Y., Guo, C., Yin, M., & An, B. (2026) · arXiv

AI-based Problem Solving and PlanningMulti-Agent Systems and Negotiation

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Recursive Experiential-Working Memory Evolution for Long-Horizon Agent Harnesses

Yu, Z., Wu, Y., Yin, Z., Chen, K., Zhao, Z., Wang, M., Yan, S., & Yang, L. (2026) · arXiv

AI-based Problem Solving and PlanningPsychiatry, Mental Health, Neuroscience

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PAST-Bench: Benchmarking the Foundations of Recursive Self-Improvement in Personal Agents

Xue, S., Ding, Z., Shen, Y., Wang, Y., Yin, Z., Wu, Y., Chen, Y., Wang, M., & Yang, L. (2026) · arXiv

AI-based Problem Solving and PlanningReinforcement Learning in Robotics

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