1. 徐颖，王梦迪，程龙，刘炼，赵世新，张磊，王颖. Pipe-RLHF: 计算模式感知的RLHF 并行加速框架, 计算机研究与发展, 2025.
  2. Cong Liu, Huiling Li, Qingtian Zeng, Qi Mo, Mengchu Zhou, Long Cheng, Shangce Gao. Behavior-Preserving Top-down Construction of Cross-organization Emergency Response Processes, IEEE/CAA Journal of Automatica Sinica, 2025.
  3. Guodong Li, Haiyan He, Yue Li, Xinhao Li, Hao Liu, Qingle Wang, Long Cheng. A quantum neural network-based approach to power quality disturbances detection and recognition, Physica Scripta, 2025.
  4. 刘文娟, 刘聪, 张在贵, 李彩虹, 程龙, 曾庆田. 对象为中心流程模型挖掘与正确性验证方法, 计算机集成制造系统, 2025.
  5. Shuhong Dai, Nishant Saurabh, Qingle Wang, Jiawei Nian, Shuwen Kan, Ying Mao, Long Cheng. Quantum Reinforcement Learning for QoS-aware Real-time Job Scheduling in Cloud Systems, IEEE Systems Journal, 2025.
  6. Xuan Su, Cong Liu, Faming Lu, Long Cheng, Qingtian Zeng, Jiehan Zhou. Enhancing Healthcare Process Model Discovery through Duplicate Task Identification, Proc. IEEE International Conference on Web Services, 2025.
  7. Xuan Su, Cong Liu, Faming Lu, Long Cheng, Qingtian Zeng, Shouli Zhang. EdgeIM: An Efficient Edge-based Process Model Discovery Technique, Proc. IEEE International Conference on Web Services , 2025.
  8. Baoyin Xiong, Lili Zhang, Yang Hu, Fang Fang, Qingzhi Liu, Long Cheng. Deep reinforcement learning for optimal microgrid energy management with renewable energy and electric vehicle integration, Applied Soft Computing, 2025.
  9. Long Cheng, Ying Mao, Ward Tomas. Neural network models in autonomous robotics, Frontiers in Neurorobotics, 2025.
  10. Jiawei Nian, Mengfei Yang, Xin Gao, Hongjin Liu, Fang Fang, Long Cheng, Xintang Wu. RPFF-PA : Reliable and parallel fault-tolerant framework for path latency reduction deployed in register arrays, ACM Transactions on Embedded Computing Systems, 2025.
  11. Haoyang He, Yan Gu, Yang Hu, Fang Fang, Xin Ning, Xiaomin Chen, Long Cheng. Real-time workflow scheduling in hybrid clouds with privacy and security constraints: A deep reinforcement learning approach, Expert Systems With Applications, 2025.
  12. Hairui Xu, Ao Zhang, Qingle Wang, Yang Hu, Fang Fang, Long Cheng. Quantum reinforcement learning for real-time optimization in Electric Vehicle charging systems, Applied Energy, 2025.
  13. Lian Liu, Long Cheng, Haimeng Ren, Zhaohui Xu, Yudong Pan, Mengdi Wang, Xiaowei Li, Yinhe Han, Ying Wang. COMET: Towards partical W4A4KV4 LLMs serving, Proc. ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2025.
  14. Guodong Li, Fangce Yu, Qingle Wang, Lin Liu, Ying Mao, Long Cheng. Quantum neural network classifier with differential privacy, Physica Scripta, 2025.