| 2026 | EACL | Unveiling the Deficiencies of Pre-trained Text-and-Layout Models in Real-world Visually-rich Document Information Extraction. | Chong Zhang, Yixi Zhao, Yulu Xie, Chenshu Yuan, Yi Tu, Ya Guo, Mingxu Chai, Ziyu Shen, Yue Zhang, Qi Zhang |
| 2025 | ACL | DocFusion: A Unified Framework for Document Parsing Tasks. | Mingxu Chai, Ziyu Shen, Chong Zhang, Yue Zhang, Xiao Wang, Shihan Dou, Jihua Kang, Jiazheng Zhang, Qi Zhang |
| 2025 | EMNLP | Governance in Motion: Co-evolution of Constitutions and AI models for Scalable Safety. | Chenhao Huang, Ziyu Shen, Yicong Ren, Huiyuan Zheng, Jiazheng Zhang, Mingxu Chai, Ming Zhang, Shihan Dou, Fan Mo, Jie Shi, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2024 | ICML | Policy Learning for Balancing Short-Term and Long-Term Rewards. | Peng Wu, Ziyu Shen, Feng Xie, Zhongyao Wang, Chunchen Liu, Yan Zeng |
| 2020 | CLUSTER | Estimating Power Consumption of Containers and Virtual Machines in Data Centers. | Xusheng Zhang, Ziyu Shen, Bin Xia, Zheng Liu, Yun Li |
| 2020 | ICONIP | DPAST-RNN: A Dual-Phase Attention-Based Recurrent Neural Network Using Spatiotemporal LSTMs for Time Series Prediction. | Shajia Shan, Ziyu Shen, Bin Xia, Zheng Liu, Yun Li |
| 2019 | ISPA | Multi-Granularity Power Prediction for Data Center Operations via Long Short-Term Memory Network. | Ziyu Shen, Xusheng Zhang, Bin Xia, Zheng Liu, Yun Li |