Zhang, Zeqiang; Wurzberger, Fabian; Otte, Maximilian; Schmid, Daniel; Gottwald, Sebastian; Braun, Daniel. (2026). "StarWM: Self-Supervised Trained Attention Routing for Robust World Models." 40rd Annual Conference on Neural Information Processing Systems (NeurIPS). Sydney, Australia.
Chen, Ruxin; Zhang, Zeqiang. (2026). "From Individual Learning to Market Equilibrium: Correcting Structural and Parametric Biases in RL Simulations of Economic Models." Computational Economics.
Wurzberger, Fabian; Gottwald, Sebastian; Zhang, Zeqiang; Braun, Daniel. (2026). "Hierarchical Goal Abstractions via Learned Subset Relations." 43rd International Conference on Machine Learning (ICML). Seoul, South Korea.
Li, Zhuang; Zhang, Zeqiang; Xu, Nuwen; Gao, Feng; Li, Biao. (2026). "Characterizing Failure Mechanism of Soft and Hard Rocks: Implication from Acoustic Emission and Machine Learning." Rock Mechanics and Rock Engineering.
Zhang, Zeqiang; Chen, Ruxin. (2025). "A Cognitive Perspective on Information Frictions in Labor Markets" Entropy. 27(12).
Zhang, Zeqiang; Wurzberger, Fabian; Gottwald, Sebastian; Braun, Daniel. (2025). "Learning Robust Representations for World Models without Reward Signals." 18th European Workshop on Reinforcement Learning. Tüebingen, Germany.
Zhang, Zeqiang; Wurzberger, Fabian; Schmid, Gerrit; Gottwald, Sebastian; Braun, Daniel. (2025). "Autonomous Learning From Success and Failure: Goal-Conditioned Supervised Learning with Negative Feedback." Arxiv.
Chen, Ruxin; Zhang, Zeqiang. (2025). "Deep Reinforcement Learning in Labor Market Simulations." 2025 IEEE Symposium on Computational Intelligence for Financial Engineering and Economics (CiFer). Trondheim, Norway.
talk at 2025 Japanese Economic Association Spring Meeting, Nagoya, Japan
talk at 2025 IEEE Symposium on Computational Intelligence for Financial Engineering and Economics, Trondheim, Norway
Talk at FRoBio: Freiburg Robotics and Biology Conference, Freiburg, Germany
Talk at FRoBio: Freiburg Robotics and Biology Conference, Freiburg, Germany