Wang, Zhen

“Least squares generative adversarial networks,”

Mao, X., Li, Q., Xie, H., Lau, R. Y. K., Wang, Z., & Smolley, S. P. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV)

Generative Adversarial Networks and Image SynthesisDigital Media Forensic Detection

Cited by 5,437

Insight into the so-called spatial reciprocity.

Wang, Z., Kokubo, S., Tanimoto, J., Fukuda, E., & Shigaki, K. (2013) · Physical Review E

Evolutionary Game Theory and CooperationMathematical and Theoretical Epidemiology and Ecology Models

Cited by 254

Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain

Hao, J., Yang, T., Tang, H., Bai, C., Liu, J., Meng, Z., Liu, P., & Wang, Z. (2021) · arXiv

Reinforcement Learning in RoboticsAdvanced Bandit Algorithms Research

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Communicating sentiment and outlook reverses inaction against collective risks

Wang, Z., Jusup, M., Guo, H., Shi, L., Geček, S., Anand, M., Perc, M., Bauch, C. T., Kurths, J., Boccaletti, S., et al. (2020) · Proceedings of the National Academy of Sciences

Experimental Behavioral Economics StudiesEvolutionary Game Theory and Cooperation

Cited by 185

Stop Overvaluing Multi-Agent Debate -- We Must Rethink Evaluation and Embrace Model Heterogeneity

Zhang, H., Cui, Z., Chen, J., Wang, X., Zhang, Q., Wang, Z., Wu, D., & Hu, S. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 84