1. Long Cheng, Nishant Saurabh, Ying Mao. Quantum Computational AI, Morgan Kaufmann, 2025 (Edited Book)
  2. Lili Zhang, Haomiaomiao Wang, Long Cheng, Fang Fang. Tighter regulation is needed for AI companions, Nature 642, 572, 2025
  3. 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. （CCF-A期刊封面文章）
  4. Haoran Pei, Yan Gu, Yajuan Sun, Qingle Wang, Cong Liu, Xiaomin Chen, Long Cheng. LLM-based cost-aware task scheduling for cloud computing systems, Journal of Cloud Computing, 2025
  5. Xuan Su, Cong Liu, Qingtian Zeng, Jinglin Zhang, Long Cheng. CrossEdgeIM: An Edge-based Approach for Interactive Robotic Behavior Model Discovery, IEEE Internet of Things Magazine, 2025
  6. Mengyao Wen, Xiufeng Liu, Xin Ning, Cong Liu, Xiaomin Chen, Jiawei Nian, Long Cheng. Deep Reinforcement Learning for Energy-Efficient Workflow Scheduling in Edge Computing, Computer Networks, 2025
  7. 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
  8. Ao Zhang, Cong Liu, Konstantinos Makantasis, Xiaomin Chen, Tomas Ward, Long Cheng. DuMES: Deep reinforcement learning based EV charging scheduling with dual-layer safety modules, IET Smart Energy Systems, 2025
  9. Cong Liu, Wenjuan Liu, Na Guo, Rongjia Song, Yan Gu, Long Cheng, Qingtian Zeng. Comparative evaluation of encoding techniques for workflow process remaining time prediction for cloud applications, Journal of Cloud Computing, 2025
  10. Xin Ning, Shanwei Gao, Jentang Liu, Long Cheng, Yugui Zhang. Few-shot agricultural disease detection method using contextual attention generation, Alexandria Engineering Journal, 2025
  11. 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
  12. 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
  13. Huiling Li, Cong Liu, Qinjun Du, Qingtian Zeng, Jinglin Zhang, Georgios Theodoropoulo, Long Cheng. Sampling-Based Next-Event Prediction for Wind-Turbine Maintenance Processes, Energies, 2025
  14. Long Cheng, Ying Mao, Ward Tomas. Neural network models in autonomous robotics, Frontiers in Neurorobotics, 2025
  15. 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
  16. Jiawei Nian, Mengfei Yang, Xin Gao, Hongjin Liu, Fang Fang, Long Cheng, Xingtang Wu. RPFF-PA : Reliable and parallel fault-tolerant framework for path latency reduction deployed in register arrays, ACM Transactions on Embedded Computing Systems, 2025
  17. 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
  18. 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
  19. Guodong Li, Fangce Yu, Qingle Wang, Lin Liu, Ying Mao, Long Cheng. Quantum neural network classifier with differential privacy, Physica Scripta, 2025
  20. 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
  21. Lian Liu, Long Cheng, Haimeng Ren, Zhaohui Xu, Yudong Pan, Mengdi Wang, Xiaowei Li, Yinhe Han, Ying Wang. COMET: Towards practical W4A4KV4 LLMs serving. Proc. ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), Rotterdam, The Netherlands, April 2025
  22. 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 （ICWS）, 2025
  23. 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 （ICWS）, 2025
  24. Jiaxin Yan, Cong Liu, Long Cheng, Jiujun Cheng, Weijian Ni, Qingtian Zeng. Enhancing Manufacturing Process Discovery Through Sub-Process Optimization, Proc. IEEE International Conference on Web Services （ICWS）, 2025