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2020 – today
- 2026
[j13]Liliang Wang, Zheng Qian, Jiaqi Ruan, Lu Wei, Gaoqi Liang
:
Physics-aware learning for detecting robust universal perturbation attacks in wind power forecasting. Eng. Appl. Artif. Intell. 170: 114200 (2026)- [j12]Shen Dong, Buxiang Zhou, Tianlei Zang, Chuangzhi Li, Huan Luo, Jiaqi Ruan, Shi Chen, Xianyong Xiao:
Post-Disaster Multi-Timescale Coordinated Restoration of Power and Thermal Cyber-Physical System Considering Hot Standby Resources. IEEE Trans. Smart Grid 17(1): 634-649 (2026) - 2025
- [j11]Jiaqi Ruan, Liliang Wang, Shi Chen, Tianlei Zang, Yiwei Qiu, Gaoqi Liang, Buxiang Zhou:
Robust Universal Adversarial Perturbation Attacks on Renewable Energy Forecasting. IEEE Internet Things J. 12(11): 18451-18454 (2025) - [j10]Yibo Ding, Xianzhuo Sun, Wenzhuo Shi, Jiaqi Ruan, Junyu Chen, Yuhong Zhao, Zhao Xu:
Optimal Distributed Energy Management for Local Energy Community: A Decision Regret Oriented Smart Predict and Optimize Approach. IEEE Trans. Ind. Informatics 21(12): 9690-9700 (2025) - [j9]Zhengyang Hu, Zhao Xu, Xianzhuo Sun, Jiaqi Ruan, Xinyi Yang, Tong Qian, Wenzhuo Shi:
Meteorological-Electrical Integrated Real-Time Resilience Assessment for Power Systems Based on Deep Learning Methods. IEEE Trans. Smart Grid 16(5): 3700-3713 (2025) - [c1]Haiquan Wang, Chaoyi Ruan, Jia He, Jiaqi Ruan, Chengjie Tang, Xiaosong Ma, Cheng Li:
DHeLlam: General-Purpose, Automatic Micro-Batch Co-Execution for Distributed LLM Training. ICCD 2025: 70-78 - [i4]Jiawei Yi, Ping Gong, Youhui Bai, Jiaqi Ruan, Shengnan Wang, Pengcheng Wang, Haibo Wang, Weiguang Wang, Xia Zhu, Feng Wu, Cheng Li:
CLO: Efficient LLM Inference System with CPU-Light KVCache Offloading via Algorithm-System Co-Design. CoRR abs/2511.14510 (2025) - [i3]Yibo Ding, Wenzhuo Shi, Mengzhao Duan, Yuhong Zhao, Jiaqi Ruan, Jian Zhao, Zhao Xu:
Power System Robust State Estimation As a Layer: A Novel End-to-end Learning Approach. CoRR abs/2511.22836 (2025) - 2024
- [j8]Jiaqi Ruan, Yifan Zhu, Yuji Cao, Xianzhuo Sun, Shunbo Lei, Gaoqi Liang, Jing Qiu, Zhao Xu:
Privacy-Preserving Bi-Level Optimization of Internet Data Centers for Electricity-Carbon Collaborative Demand Response. IEEE Internet Things J. 11(14): 24948-24959 (2024) - [j7]Jiaqi Ruan, Qihan Wang, Sicheng Chen, Hanrui Lyu, Gaoqi Liang, Junhua Zhao, Zhao Yang Dong:
On Vulnerability of Renewable Energy Forecasting: Adversarial Learning Attacks. IEEE Trans. Ind. Informatics 20(3): 3650-3663 (2024) - [j6]Jiaqi Ruan, Gaoqi Liang, Huan Zhao, Guolong Liu, Xianzhuo Sun, Jing Qiu, Zhao Xu, Fushuan Wen, Zhao Yang Dong:
Applying Large Language Models to Power Systems: Potential Security Threats. IEEE Trans. Smart Grid 15(3): 3333-3336 (2024) - [i2]Haiquan Wang, Chaoyi Ruan, Jia He, Jiaqi Ruan, Chengjie Tang, Xiaosong Ma, Cheng Li:
Hiding Communication Cost in Distributed LLM Training via Micro-batch Co-execution. CoRR abs/2411.15871 (2024) - 2023
- [j5]Jiaqi Ruan, Gang Fan, Yifan Zhu, Gaoqi Liang, Junhua Zhao, Fushuan Wen, Zhao Yang Dong:
Super-Resolution Perception Assisted Spatiotemporal Graph Deep Learning Against False Data Injection Attacks in Smart Grid. IEEE Trans. Smart Grid 14(5): 4035-4046 (2023) - [j4]Jiaqi Ruan, Gaoqi Liang, Junhua Zhao, Shunbo Lei, Binghao He, Jing Qiu, Zhao Yang Dong:
Graph Deep-Learning-Based Retail Dynamic Pricing for Demand Response. IEEE Trans. Smart Grid 14(6): 4385-4397 (2023) - [i1]Jiaqi Ruan, Gaoqi Liang, Huan Zhao, Guolong Liu, Jing Qiu, Junhua Zhao, Zhao Xu, Fushuan Wen, Zhao Yang Dong:
Applying Large Language Models to Power Systems: Potential Security Threats. CoRR abs/2311.13361 (2023) - 2022
- [j3]Jiaqi Ruan, Gaoqi Liang, Junhua Zhao, Jing Qiu, Zhao Yang Dong:
An Inertia-Based Data Recovery Scheme for False Data Injection Attack. IEEE Trans. Ind. Informatics 18(11): 7814-7823 (2022)
2010 – 2019
- 2019
- [j2]Huaizhi Wang, Jiaqi Ruan, Bin Zhou, Canbing Li, Qiuwei Wu, Muhammad Qamar Raza, Guang-Zhong Cao:
Dynamic Data Injection Attack Detection of Cyber Physical Power Systems With Uncertainties. IEEE Trans. Ind. Informatics 15(10): 5505-5518 (2019) - 2018
- [j1]Huaizhi Wang, Jiaqi Ruan, Guibin Wang, Bin Zhou, Yitao Liu, Xueqian Fu, Jian-Chun Peng:
Deep Learning-Based Interval State Estimation of AC Smart Grids Against Sparse Cyber Attacks. IEEE Trans. Ind. Informatics 14(11): 4766-4778 (2018)
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