所在学科
信息与通信工程
研究方向
AI+信号与信息处理、图像与视频处理、目标检测与识别
个人简历
2005.03 至今：任职于 北京理工大学 PG·电子游戏
2002.03-2005.03：就读于 北京理工大学 信号与信息处理专业 博士
1999.09-2002.03：就读于 北京理工大学 通信与信息系统专业 硕士
1995.09-1999.07：就读于 北京理工大学 通信工程专业 本科
代表性学术成果
1. AI+信号与信息处理
[1] Shujuan Hou, Yue Fan, Bowen Dou, et al. Cross-domain state-of-health estimation for lithium-ion batteries via meta-transfer learning[J]. Applied Energy, 2026, 427: 128834.
[2] Bowen Dou, Shujuan Hou*, Hai Li, et al. Domain generalized state of health estimation without target domain data based on feature disentanglement[J]. IEEE Transactions on Transportation Electrification, 2026.
[3] Jinbao Fan, Chenchen Liu, Na Li, Le Yang, Xiao-Guang Yang, Bowen Dou, Shujuan Hou, Xuning Feng, Hanqing Jiang, Hong Li, Wei-Li Song, Lei Sun, Hao-Sen Chen, Huajian Gao, Daining Fang. Wireless transmission of internal hazard signals in Li-ion batteries[J]. Nature, 2025, 641(8063): 639-645.
[4] Shujuan Hou, Yue Fan, Bowen Dou, et al. Strain feature-assisted state of health estimation for lithium-ion batteries[J]. Energy, 2025, 326:136058.
[5] Bowen Dou, Shujuan Hou*, Hai Li, et al. Cross-domain state of health estimation for lithium-ion battery based on latent space consistency using few-unlabeled data[J]. Energy, 2025, 320:135257.
[6] Bowen Dou, Shujuan Hou*, Hai Li, et al. Short term charging data based battery state of health and state of charge estimation using feature pyramid[J]. IEEE Transactions on Vehicular Technology, 2024, 73(5): 6383-6394.
2. 图像与视频处理、目标检测与识别
[1] Yuhang Wang, Hai Li, Shujuan Hou*, et al. Compressed-domain-aware online video super-resolution[C]. CVPR 2026: 33621-33631.
[2] Yuhang Wang, Hai Li, Shujuan Hou*. Joint distortion estimation and removal network for versatile hybrid-distorted image restoration[J]. IEEE Transactions on Instrumentation and Measurement, 2025, 74: 5009814.
[3] Yuhang Wang, Hai Li, Shujuan Hou*, et al. Distortion information and edge features guided network for real-world image restoration[J]. Knowledge-Based Systems, 2025, 314:113159.
[4] Zhetao Dong, Shujuan Hou, Hai Li*, et al. Lightweight real-world image super resolution via channel redundancy for edge IoT devices[J]. IEEE Internet of Things Journal, 2025, 12(22): 47323-47333.
[5] Jian Xu, Hai Li, Shujuan Hou*. Attention-based gait recognition network with novel partial representation PGOFI based on prior motion information[J]. Digital Signal Processing, 2023, 133: 103845.
荣誉奖励
1. 侯舒娟(6/6); 无线XXXX测量技术与应用, 国家发明一等奖, 2013.
