1. Junfeng Gong, Long Cheng, Jiawei Nin, Cheng Liu, Huawei Li. MCU-MixQ: A HW/SW Co-optimized Mixed-precision Neural Network Design Framework for MCUs, ACM Transactions on Embedded Computing Systems, 2026
  2. Jiazheng Zhang, Cheng Liu, Long Cheng, Xiaowei Li, Huawei Li. Understanding and Mitigating Errors of LLM-Generated RTL Code. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2026
  3. Xuan Su, Cong Liu, Shuaipeng Zhang, Qingtian Zeng, Qi Mo, Long Cheng. Towards Efficient Support for Business Process Event Log Sampling. IEEE Transactions on Services Computing, 2026
  4. Jiaxin Yan, Cong Liu, Qingtian Zeng, Jian Cao, Youxi Wu, Chun Ouyang, Long Cheng. Enhancing Process Discovery by Optimizing Imprecise Subprocesses. IEEE Transactions on Services Computing, 2026
  5. Na Guo, Cong Liu, Qingtian Zeng, Youxi Wu, Jinglin Zhang, Xixi Lu, Long Cheng.Detecting Root Causes for Process Performance Anomalies Using Causal Inference. IEEE Transactions on Services Computing, 2026
  6. Qi Liu, Xuemei Fu, Huang Zhang, Long Cheng, Jungong Han, Catarina Moreira, Xin Ning, Xiao Bai. HybridEditDif: Text and Exemplar Guided Image Editing with Diffusion Models, Pattern Recognition, 2026
  7. Huiling Li, Cong Liu, Qinjun Du, Qingtian Zeng, Haobing Liu, Qingle Wang, Long Cheng. Optimizing resource allocation for wind turbine maintenance through process and fault data fusion, Information Fusion, 2026
  8. Jinlong Xie, Liping Zhang, Long Cheng, Jian Yao, Pengjiang Qian, Binrong Zhu, Guiran Liu. MARNet: Multi-scale adaptive relational network for robust point cloud completion via cross-modal fusion, Information Fusion, 2026
  9. Hang Fan, Mingxuan Li, Zuhan Zhang, Long Cheng, Yujian Ye, Weican Liu, Dunnan Liu. M2WLLM: Multi-modal multi-task ultra-short-term wind power prediction algorithm based on large language model, Information Fusion, 2026
  10. Yu Jin, Qingle Wang, Xinhao Li, Yue Li, Yuancheng Li, Kejia Zhang, Hao Liu, Long Cheng. Quantum support vector machine for power quality analysis, Quantum Computational AI, 2026 (Book Chapter)
  11. Yan Gu, Shuhong Dai, Cong Liu, Qingle Wang, Long Cheng. Hybrid quantum-classical reinforcement learning for scheduling systems, Quantum Computational AI, 2026 (Book Chapter)
  12. 房方, 吴兴堂, 程龙, 胡阳, 孙笠, 许昱涵, 张怡. 电力智算系统构建理论与关键技术, 中国科学: 技术科学, 2026.