Publications

Song, Y., Jiang, H., Tian, Z., Zhang, H., Zhang, Y., Zhu, J., Dai, Z., Zhang, W., & Wang, J. (2024). An empirical study on google research football multi-agent scenarios. Machine Intelligence Research, 21, 549–570.

Ma, W., Zeng, Y., Song, Y., Cui, X., Zhao, J., Liu, X., & Elhoseiny, M. (2026). Freshness-Aware Prioritized Experience Replay for LLM/VLM Reinforcement Learning. arXiv preprint arXiv:2604.16918.

Sun, L., Jiang, J., Ding, Y., Li, F., Song, Y., Zhang, H., Ying, J., Ren, L., Zhan, K., Chen, W., Xie, Y., & Deng, C. (2026). Hardware Co-Design Scaling Laws via Roofline Modelling for On-Device LLMs. arXiv preprint arXiv:2602.10377.

Yan, X., Ou, Z., Yang, M., Song, Y., Zhang, H., Li, Y., & Wang, J. (2025). Memory-Driven Self-Improvement for Decision Making with Large Language Models. arXiv preprint arXiv:2509.26340.

Feng, X., Liu, B., Song, Y., Fu, H., Wan, Z., Koushik, G. A., Hu, Z., Yang, M., Wen, Y., & Wang, J. (2024). Natural Language Reinforcement Learning. arXiv preprint arXiv:2411.14251.

Wang, J., Fang, M., Wan, Z., Wen, M., Zhu, J., Liu, A., Gong, Z., Song, Y., Chen, L., Ni, L. M., Yang, L., Wen, Y., & Zhang, W. (2024). OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models. arXiv preprint arXiv:2410.09671.