2025

1.Zhou, W., Liu, F., Zheng, H., & Zhao, R. (2025). Mitigating data bias and ensuring reliable evaluation of AI models with shortcut hull learning. Nature Communications, 16(1), 5513.

2.Shi, Q., Liu, F., Li, H., Li, G., Shi, L., & Zhao, R. (2025). Hybrid neural networks for continual learning inspired by corticohippocampal circuits. Nature Communications, 16(1), 1272.

3.Lin, J., Liu, Z., You, Y., Wang, J., Zhang, W., & Zhao, R. (2025, February). WeiPipe: Weight Pipeline Parallelism for Communication-Effective Long-Context Large Model Training. In Proceedings of the 30th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming (pp. 225-238).

4.Yang, Q., Xu, M., Li, H., Du, Y., Feng, D., & Zhao, R. (2025). Efficient Routing Congestion Prediction in Chip Design: Integrating Netlist Structure and Design Specifications With Heterogeneous Graph Attention Networks. IEEE Journal of the Electron Devices Society.

5.Niu, T., Huang, H., Du, Y., Zhang, W., Shi, L., & Zhao, R. (2025). General Automatic Solution Generation for Social Problems. Machine Intelligence Research, 22(1), 145-159.

6.Meng, Y., Lin, Y., Wang, T., Chen, Y., Wang, L., & Zhao, R. (2025). Diffusion-Based Extreme High-speed Scenes Reconstruction with the Complementary Vision Sensor. In Proceedings of the IEEE/CVF International Conference on Computer Vision (pp. 5701-5710).

7.Du, Y., Niu, T., & Zhao, R. (2025). Mixture of prompts learning for vision-language models. Frontiers in Artificial Intelligence, 8, 1580973.