专业：通信与信息系统
研究方向：人工智能与计算机视觉
Email: yinjie@scu.edu.cn
地址：四川大学望江校区西五教学楼
邮编：610065






招生信息：每年面向电子信息、计算机科学等相关专业招收1名学术型博士生、约1-2名工程博士生以及若干名学术/专业硕士生。实验室与国内外知名高校课题组常年展开合作学术研究，与国内知名企业、大型研究所均有项目合作，科研经费充足。欢迎热爱学习、勤奋踏实、吃苦耐劳的有志学生加入！
联系方式
联系人：雷力（科研秘书）
电话：
Email: admin@scuailab.com



学习工作经历

分别于2006年、2009年和2013年在西南交通大学、四川大学和澳大利亚西澳大学获得本科、硕士和博士学位。2013年12月起在四川大学电子信息学院从事教学和科研工作，2017年9月起担任四川大学电子信息学院副院长。2015年入选省级人才、2018年入选四川省学术和技术带头人后备人选。


近三年部分科研项目（2019-）

创新特区项目，2020-12至2021-12，项目负责人
基础科研重点项目，2020-12至2023-11，项目负责人
中国核动力研究设计院，企业合作项目，HDL仪控系统及设备状态预测与诊断方法研究，2021-06至2022-03，项目负责人
华为技术有限公司，企业合作项目，基于机器学习的光通信参数估计，2020-11至2021-11，项目负责人
中国电子科技集团有限公司，企业合作项目，机器学习算法开发，2020-11至2021-12，项目负责人
中国核动力研究设计院，企业合作项目，数理统计与机器学习算法模块开发，2020-07至2020-12，项目负责人
四川省科学技术厅，四川省重点研发项目，自主机器人三维视觉关 键技术研究，2019-01至2020-12，项目负责人


近三年部分学术论文（2019-）

Y. Gou, Y. Lei, L. Liu, Y. Dai and C. Shen. Contextualize Knowledge Bases with Transformer for End-to-end Task-Oriented Dialogue Systems, in: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021.
D. Peng, Y. Lei, W. Li, P. Zhang and Y. Guo. Sparse-to-dense feature matching: intra and inter domain cross-modal learning in domain adaptation for 3D semantic segmentation, in: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2021.
W. Liu, P. Zhang, Y. Lei, X. Huang, J. Yang and M. Ng. A generalized framework for edge-preserving and structure-preserving image smoothing. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021.
Y. Lei, D, Peng, P. Zhang, Q. Ke and H. Li. Hierarchical paired channel fusion network for street scene change detection. IEEE Transactions on Image Processing (TIP), 2021, 30: 55~67.
D. Peng, Y. Lei, L. Liu, P. Zhang and J. Liu. Global and local texture randomization for synthetic-to-real semantic segmentation. IEEE Transactions on Image Processing (TIP), 2021.
Y. Lei, Y. Liu, P. Zhang and L. Liu. Towards using count-level weak supervision for crowd counting. Pattern Recognition (PR), 2021, 109: 107616.
P. Zhang, W. Liu, Y. Lei and H. Lu. Semantic scene labeling via deep nested level set. IEEE Transactions on Intelligent Transportation Systems (TITS), 2021.
P. Zhang, W. Liu, Y. Zeng, Y. Lei and H. Lu. Looking for the detail and context devils: high-resolution salient object detection. IEEE Transactions on Image Processing (TIP), 2021, 30: 3204~3216.
H. Liu, Y. Guo, Y. Ma, Y. Lei and G. Wen. Semantic context encoding for accurate 3D point cloud segmentation. IEEE Transactions on Multimedia (TMM), 2021, 23: 2045~2055.
J. Peng, B. Tang, H. Jiang, Z. Li, Y Lei, T Lin and H. Li. Overcoming long-term catastrophic forgetting through adversarial neural pruning and synaptic consolidation. IEEE Transactions on Neural Networks and Learning Systems (TNNLS). 2021.
Y. Liu, L. Liu, P. Wang, P. Zhang and Y. Lei. Semi-supervised crowd counting via self-training on surrogate tasks, in: Proceedings of 16th European Conference on Computer Vision (ECCV), Aug. 23-28, 2020, pp. 242~259.
P. Zhang, W, Liu, Y. Lei, H. Wang and H. Lu. Deep multiphase level set for scene parsing. IEEE Transactions on Image Processing (TIP), 2020, 29: 4556~4567.
Y Gou, Y Lei, L Liu, P Zhang and X. Peng. A dynamic parameter enhanced network for distant supervised relation extraction. Knowledge-Based Systems (KBS). 2020, 197: 105912.
W. Liu, P. Zhang, Y. Lei, X. Huang, J. Yang and I Reid. A generalized framework for edge-preserving and structure-preserving image smoothing, in: Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), Feb. 7-12, 2020, 34(07): pp.11620~11628.
P. Zhang, W. Liu, D. Wang, Y. Lei, H, Wang and H. Lu. Non-rigid object tracking via deep multi-scale spatial-temporal discriminative saliency maps. Pattern Recognition (PR), 2020, 100: 107130.
P. Zhang, W. Liu, Y. Lei, H. Wang and H. Lu. RAPNet: Residual atrous pyramid network for importance-aware street scene parsing. IEEE Transactions on Image Processing (TIP), 2020, 29: 5010~5021.
S. Jiang, X. Lu, Y. Lei and L. Liu. Mask-aware networks for crowd counting. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT). 2020, 30(9): 3119~3129.
X. Peng, J. Feng, J.T. Zhou, Y. Lei and S. Yan. Deep Subspace Clustering. IEEE Transactions on Neural Networks and Learning Systems (TNNLS). 2020, 31(12): 5509~5521.
Y. Ma, Y. Guo, H. Liu, Y. Lei and G. Wen. Global context reasoning for semantic segmentation of 3D point clouds, in: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Mar. 1-5, 2020, pp.2931~2940.
P. Zhang, W. Liu, Y. Lei, H. Lu and X. Yang. Cascaded context pyramid for full-resolution 3D semantic scene completion, in: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), Oct. 27-Nov. 2, 2019, pp.7801~7810 (Oral).
Y. Lei, Z. Zhou, P. Zhang, Y. Guo, Z. Ma and L. Liu. Deep point-to-subspace metric learning for sketch-based 3D shape retrieval approach. Pattern Recognition (PR), 2019, 96: 106981.
P. Zhang, W. Liu, H. Wang, Y. Lei and H. Lu. Deep gated attention networks for large-scale street-level scene segmentation. Pattern Recognition (PR), 2019, 88: 702~714.
P. Zhang, W. Liu, Y. Lei and H. Lu. HyperFusion-Net: hyper-densely reflective feature fusion for salient object detection. Pattern Recognition (PR), 2019, 93: 521~533.
C. Ma, Y. Guo, Y. Lei and W. An. Binary volumetric convolutional neural networks for 3D object recognition. IEEE Transactions on Instrumentation and Measurement (TIM), 2019, 68(1): 38~48.


近三年部分发明专利（2019-）


雷印杰，苟延杰；基于可学习多单词对打分器的方面级情感三元组抽取方法, 2021-06-08, 2.8.
雷印杰，苟延杰；基于记忆掩码自注意力网络的端到端任务型对话系统, 2021-06-08, 4.X.
雷印杰，周子钦；一种基于多层级的高质量点云补全方法, 2021-04-27, 0.1.
雷印杰，彭铎；一种基于多模态联合学习的跨域语义分割方法, 2021-04-27, 8.4.
雷印杰，杨昱威；一种高精度通用的三维点云识别方法, 2021-02-05, 1.4.
雷印杰，金钊；一种大场景点云语义分割方法, 2021-02-05, 8.0.
雷印杰，彭铎；高泛化性的跨域道路场景语义分割方法和系统, 2021-02-05, 8.8.
雷印杰，王睿；一种基于部分序列的多动作早识别系统, 2021-02-05, 6.3.
雷印杰，刘砚，周子钦；统计模型的训练方法、统计方法、装置及存储介质, 2021-03-02, ZL4.5.
雷印杰，陈浩楠；一种鲁棒的作物病害诊断系统, 2020-09-22, 3.6.
雷印杰，陈浩楠；一种基于病斑相关性的植物病害诊断系统, 2020-09-22, 7.0.
雷印杰，王浩；一种高精度的农作物病虫害识别方法, 2020-09-22, 6.3.
雷印杰，周子钦，刘砚；模型训练方法、检索方法、装置、电子设备及存储介质, 2020-07-03, ZL7.0.