2020年1月~至今：西安交通大学, 软件学院, 副教授

2016年10月~2019年12月：西安交通大学, 软件学院, 讲师

期刊论文

[15] Gaojie Li, Yaochen Li*, Jingle Liu, Wei Guo, Wenneng Tang and Yuehu Liu. ESE-GAN: Zero-shot food image classification based on low dimensional embedding of visual features[J]. IEEE Transactions on Multimedia, 2023. (Accepted).

[14] Anna Li, Xinnan Ma, Jiaxin Guo, Jingyue Zhang, Jing Wang, Kai Zhao and Yaochen Li*. Driver Fatigue Detection and Human-machine Cooperative Decision-making for Road Scenarios[J]. Multimedia Tools and Applications, 2023. (Accepted, IF 2023: 2.577).

[13] Yaochen Li, Haochuan Hou, Zikun Dong, Yujie Zang, Ying Zhang and Yonghong Song. Spatiotemporal analysis of static and dynamic traffic elements from road scenes[J]. IEEE Transactions on Intelligent Transportation Systems, 2022. (Accepted, IF 2022: 9.551).

[12] Yaochen Li, Yuhui Hong, Yonghong Song, Chao Zhu, Ying Zhang and Ruihao Wang. SiamPolar: Semi-supervised realtime video object segmentation with polar representation[J]. Neurocomputing, 2021. (IF 2021: 5.719).

[11] Yaochen Li, Chao Zhu, Yuehu Liu, Yuhui Hong and Jianji Wang. Geometric and semantic analysis of road image sequences for traffic scene construction[J]. Neurocomputing, 2021. (IF 2021: 5.719).

[10] Yaochen Li, Yuting Chen, Sheng Yuan, Jingle Liu, Xi Zhao, Yang Yang and Yuehu Liu. Vehicle detection from road image sequences for intelligent traffic scheduling[J]. Computers & Electrical Engineering, 2021. (IF 2021: 3.818).

[9] Yaochen Li, Chuan Wu, Ling Li, Yuehu Liu and Jihua Zhu. Caption generation from road images for traffic scene modeling[J]. IEEE Transactions on Intelligent Transportation Systems, 2021. (IF 2021: 6.492).

[8] Zhichao Cui, Yaochen Li*, Chi Zhang, Yuehu Liu and Fuji Ren. Coarse-to-fine 3D road model rigistration for traffic video augmentation[J]. IET Image Processing, 2020, 14(12): 2690-2700. (SCI, WOS:000582146100009)

[7] Yaochen Li, Xiao Wu, Danhui Lu, Ling Li, Yuehu Liu and Li Zhu. Style transfer of urban road images using generative adversarial networks with structural details[J]. IEEE Multimedia, 2020, 27(3): 54-65. (SCI, WOS:000567430300007)(IF 2020: 4.962)

[6] Yaochen Li, Yuehu Liu, Jihua Zhu, Shiqi Ma, Zhenning Niu and Rui Guo. Spatiotemporal road scene reconstruction using superpixel-based Markov random field[J]. Information Sciences, 2020, 507: 124-142. (SCI, WOS:000489000500008)(IF 2020: 5.910)[19] Yaochen Li, Yuehu Liu, Jihua Zhu, Shiqi Ma, Zhenning Niu and Rui Guo. Spatiotemporal road scene reconstruction using superpixel-based Markov random field[J]. Information Sciences, 2020, 507: 124-142. (SCI)(IF: 5.524)
[18] Yaochen Li, Huayun Pan, Xiao Wu, Yuehu Liu, Shanmin Pang and Li Zhu. Fast two-cycle level set tracking with interactive superpixel segmentation and its application in image retrieval [19] Yaochen Li, Yuehu Liu, Jihua Zhu, Shiqi Ma, Zhenning Niu and Rui Guo. Spatiotemporal road scene reconstruction using superpixel-based Markov random field[J]. Information Sciences, 2020, 507: 124-142. (SCI)(IF: 5.524)
[18] Yaochen Li, Huayun Pan, Xiao Wu, Yuehu Liu, Shanmin Pang and Li Zhu. Fast two-cycle level set tracking with interactive superpixel segmentation and its application in image retrieval [19] Yaochen Li, Yuehu Liu, Jihua Zhu, Shiqi Ma, Zhenning Niu and Rui Guo. Spatiotemporal road scene reconstruction using superpixel-based Markov random field[J]. Information Sciences, 2020, 507: 124-142. (SCI)(IF: 5.524)
[18] Yaochen Li, Huayun Pan, Xiao Wu, Yuehu Liu, Shanmin Pang and Li Zhu. Fast two-cycle level set tracking with interactive superpixel segmentation and its application in image retrieval [19] Yaochen Li, Yuehu Liu, Jihua Zhu, Shiqi Ma, Zhenning Niu and Rui Guo. Spatiotemporal road scene reconstruction using superpixel-based Markov random field[J]. Information Sciences, 2020, 507: 124-142. (SCI)(IF: 5.524)
[18] Yaochen Li, Huayun Pan, Xiao Wu, Yuehu Liu, Shanmin Pang and Li Zhu. Fast two-cycle level set tracking with interactive superpixel segmentation and its application in image retrieval

[5] Yaochen Li, Rui Sun, Ying Liu, Yang Yang, Shuangxun Ma and Yuehu Liu. Interactive foreground segmentation and shape reconstruction from RGBD images [J]. Computers & Electrical Engineering, 2019, 79: 1-13. (SCI, WOS:000492799200006)(IF 2019: 2.189)

[4] Yaochen Li, Ying Liu, Rui Sun, Rui Guo, Li Zhu and Yong Qi. Multi-view point cloud registration with adaptive convergence threshold and its application in 3D model retrieval[J]. Multimedia Tools and Applications, 2020, 79(1): 14793-14810. (SCI)(IF 2019: 2.101)

[3] Yaochen Li, Yuehu Liu, Yuanqi Su, Gang Hua and Nanning Zheng. Three-dimensional traffic scenes simulation from road image sequences[J]. IEEE Transactions on Intelligent Transportation Systems, 2016, 17(4): 1121-1134. (SCI,  WOS:000373133600021; EI: 20160301821973)(IF 2019: 5.744)

[2] Yaochen Li, Yuanqi Su and Yuehu Liu. Fast two-cycle curve evolution with narrow perception of background for object tracking and contour refinement[J]. Signal Processing: Image Communication, 2016, 44: 29-43. (SCI, WOS:000376714000003; EI: 20161302174611)(IF 2019: 3.059)

[1] Yaochen Li, Yuehu Liu and Nanning Zheng. Creating Walk-Through Images from Traffic Video Sequence. UCLA Cam Report, 2013:13-82.

会议论文

[28] Yujie Zang, Yaochen Li*, Luguang Cao, and Ruitao Lu. Template-guided data augmentation for unbiased scene graph generation[C]//In Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing, Seoul, Apr. 2024.

[27] Zhifeng Zhu, Yaochen Li*, Yifan Li, Jinhuo Yang, Peijun Chen and Yuehu Liu. SEIT: Structural Enhancement for Unsupervised Image Translation in Frequency Domain[C]//In Proceedings of  AAAI Conference on Artificial Intelligence, Vancouver, Feb. 2024.

[26] Yujie Zang, Yaochen Li*, Yuan Gao, Yimou Guo, Wenneng Tang, Yanxue Li and Meklit Atlaw. Refine and Redistribute: Multi-Domain Fusion and Dynamic Label Assignment for Unbiased Scene Graph Generation[C]//In Proceedings of  IEEE/CVF Winter Conference on Applications of Computer Vision, Hawaii, Jan. 2024.

[25] Wenneng Tang, Yaochen Li*, Yifan Li and Bo Dong. Efficient Point-based Single Scale 3D Obiect Detection from Traffic Scenes[C]//In Proceedings of  Chinese Conference on Pattern Recognition and Computer Vision (PRCV), Xiamen, Oct. 2023.

[24] Yifan Li, Yaochen Li*, Wenneng Tang, Zhifeng Zhu, Jinhuo Yang and Yuehu Liu. Swin-UNIT: Transformer-based GAN for High-resolution Unpaired Image Translation[C]//In Proceedings of ACM International Conference on Multimedia, Ottawa, Oct. 2023.

[23] Ying Zhang, Yaochen Li*, Wei Guo, Gaojie Li, Shaohan Yang and Yuehu Liu. Mixed Spatiotemporal Modeling for Vehicle Behavior Recognition[C]//In Proceedings of CVPR Workshop on Vision-Centric Autonomous Driving, Vancouver, Jun. 2023.

[22] Ruihao Wang, Jian Qin, Kaiying Li, Yaochen Li, Dong Cao, Jintao Xu. V-BEV-LaneDet: An Efficient 3D Lane Detection Method Based on Virtual Camera via Key-Points[C]//In Proceedings of IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, Jun. 2023.

[21] Min Yang, Yaochen Li*, Su Wang, Shaohan Yang, Hujun Liu. RITNet: A rotation invariant transformer based network for point cloud registration[C]//In Proceedings of  IEEE International Conference on Tools with Artificial Intelligence (ICTAI), Washington D.C., Nov. 2022.

[20] Kai Zhao, Yaochen Li*, Yuan Gao, Hujun Liu, Anna Li, Jiaxin Guo and Yuehu Liu. Driver behavior decision making based on multi-action deep Q network in dynamic traffic scenes[C]//In Proceedings of  Chinese Conference on Pattern Recognition and Computer Vision (PRCV), Shenzhen, Dec. 2022.

[19] Liangyu Zuo, Yaochen Li*, Mengtao Han, Qiao Li and Yuehu Liu. Frustum FusionNet: Amodal 3D object detection with multi-modal feature fusion[C]//In Proceedings of IEEE International Conference on Intelligent Transportation Systems (ITSC), Indianapolis, Sep. 2021. 

[18] Haochuan Hou, Yaochen Li*, Chi Zhang, Hao Liao and Ying Zhang. Vehicle behavior recognition using multi-stream 3D convolutional neural network[C]//In Proceedings of Youth Academic Annual Conference of Chinese Association of Automation (YAC), Nanchang, May. 2021. 

[17] Mengtao Han, Yaochen Li*, Liangyu Zuo, Qiao Li, Chi Zhang, Yuanqi Su and Ping Li. Point cloud segmentation via edge-fused local graph learning[C]//In Proceedings of IEEE International Conference on Robotics and Automation (ICRA), Xi'an, May. 2021. 

[16] Zikun Dong, Yaochen Li*, Haochuan Hou and Ruihao Wang. Spatiotemporal analysis of traffic scene layout using scene stages[C]//In Proceedings of International Symposium on Artificial Intelligence and Robotics (ISAIR), Fukuoka, Aug. 2021. 

[15] Ling Li, Yaochen Li*, Chuan Wu, et al. Detail Fusion GAN: High-quality translation for unpaired images with GAN-based data augmentation[C]// In Proceedings of International Conference on Pattern Recognition (ICPR), Milano, Jan. 2021.(EI)

[14] Kang Song, Yaochen Li*, Yuhui Hong, Yuting Chen, Chenming Song and Yuehu Liu. FFSSD: Improved vehicle detection with multi-scale convolution feature fusion[C]//In Proceedings of ChinaMM (ChinaMM), Qingdao, Sep. 2020.

[13] 刘荧, 李垚辰*, 刘跃虎, 付靖文, 马飞. 基于相关熵的多视角彩色点云配准[C]//第二十届全国图象图形学学术会议, 乌鲁木齐, 2020.

[12] Chuan Wu, Yaochen Li*, Ling Li, Le Wang and Yuehu Liu. Caption generation from road images for traffic scene construction[C]//In Proceedings of IEEE Intelligent Vehicles Symposium (IVS), Las Vegas, Oct. 2020.

[11] Xiao Wu, Yaochen Li*, Zelin Hao, Chuan Wu, Xiaochun Wang and Yuehu Liu. Image style transformation based on structureGAN[C]//In Proceedings of Chinese Automation Congress (CAC), Hangzhou, Nov. 2019.(EI)

[10] Chao Zhu, Yaochen Li*, Yuehu Liu, Zhiqiang Tian, Zhichao Cui, Chi Zhang and Xinyu Zhu. Road scene layout reconstruction based on CNN and its application in traffic simulation[C]//In Proceedings of IEEE Intelligent Vehicles Symposium (IVS), Paris, Jun. 2019. (EI:20193807453140)

[9] Xiao Wu, Yaochen Li*, Yuehu Liu, Shanmin Pang, Le Wang, Chuan Wu and Huihui Huo. Jointly detecting and retrieving vehicles from road image sequences based on CNN[C]//In Proceedings of IEEE Intelligent Vehicles Symposium (IVS), Paris, Jun. 2019. (EI:20193807453259)​​​​​​

[8] Yuxiao Wang, Yaochen Li*, Ming Zeng, Zikun Dong, Jian Yuan and Ziwei Wang. Bottom-up estimation of geometric layout for indoor images[C]//In Proceedings of IEEE International Conference on Unmanned Systems (ICUS), Beijing, Oct. 2019. (EI:20201008261335)

[7] Ｈuihui Huo, Yaochen Li*, Chuan Wu, Xiao Wu, Zhiqiang Tian, and Yuehu Liu. Semantic segmentation and scene reconstruction for traffic simulation using CNN [C]//In Proceedings of 2nd China Symposium on Cognitive Computing and Hybrid Intelligence (CCHI), Xi'an, Sep. 2019. (EI:20194907772809)

[6] Huayun Pan, Yaochen Li*, Xiao Wu, Xiao Wu, Yuxiao Wang, and Yuehu Liu. Fast two-cycle level set tracking with interactive superpixel segmentation [C]//In Proceedings of 2nd China Symposium on Cognitive Computing and Hybrid Intelligence (CCHI), Xi'an, Sep. 2019. (EI:20194907772830)

[5] Jian Yuan, Yaochen Li*, Huayun Pan, Zhichao Cui and Yuehu Liu. 3D traffic scenes construction and simulation based on scene stages[C]//In Proceedings of Chinese Automation Congress (CAC), Xi'an, Dec. 2018. (Oral Paper)(EI:20191106633140)​​​​​

[4] Yaochen Li, Yuanqi Su and Yuehu Liu. Fast two-cycle level set tracking with narrow perception of background[C]//In Proceedings of IEEE International Conference on Multimedia & Expo (ICME), Turin, Jun. 2015. (Oral Paper)(EI:20154501514030)

[3] Yaochen Li, Yuehu Liu, Chi Zhang, Danchen Zhao and Nanning Zheng. The “floor-wall” traffic scenes construction for unmanned vehicle simulation evaluation[C]//In Proceedings of IEEE International Conference on Intelligent Transportation Systems (ITSC), Qingdao, Oct. 2014. (Best Student Paper Award) (EI:20152901040876)

[2] Yaochen Li, Yuehu Liu, Xiao Huang, Ming Hou and Yang Yang. Vertex Saliency Computation from 3D facial meshes[C]//In Proceedings of IEEE International Symposium on Access Spaces (ISAS), Yokohama, Jun. 2011. (EI:20113414253229)

[1] Yaochen Li, Yuehu Liu, Yuanchun Wang, Zhengwang Wu and Yang Yang. 3D facial mesh detection using geometric saliency of surface[C]//In Proceedings of IEEE International Conference on Multimedia & Expo (ICME), Barcelona, Jun. 2011.(EI:20114514487529)

已授权专利

[6] 李垚辰，吴潇，宋晨明，刘跃虎，一种多任务联合判别学习的车辆重识别方法, 专利号码：ZL202010432575.6, 授权时间：2022.4.26

[5] 李垚辰，袁建，董子坤，王雨潇，刘跃虎，一种基于结构化学习的道路场景布局分析方法, 专利号码：ZL202010431561.2, 授权时间：2022.8.16

[4] 李垚辰，祝超，刘跃虎，一种基于深度学习的道路边界点检测方法, 专利号码：ZL201910232810.2, 授权时间：2020.11.10

[3] 李垚辰，刘跃虎，祝继华，牛振宁，郭瑞，马士琦，一种道路行驶区域的视觉检测方法, 专利号码：ZL201710437201.1, 授权时间：2019.10.18

[2] 刘跃虎，李垚辰，苏远岐，杨旸，张驰，一种道路场景视频图像序列的背景修复方法, 专利号码：ZL201410239942.5, 授权时间：2017.2.8

[1] 刘跃虎，李垚辰，苏远岐，杨旸，张驰，一种窄带背景探测的快速双循环水平集方法, 专利号码：ZL201410239863.4,  授权时间：2016.11.30

申请专利

[4] 李垚辰，李高洁，张莹，郭威，一种小样本异常车辆行为识别方法，专利号码：ZL2023118230736，申请时间：2023.12.27

[3] 李垚辰，唐文能，李一帆，一种可变形注意力的三维点云目标检测方法，专利号码：2023118227521，申请时间：2023.12.27

[2] 李垚辰，高源，廖浩，张腾文，邱超，一种无监督交通要素对齐的道路场景语义分割方法，专利号码：2023118231207，申请时间：2023.12.27

[1] 李垚辰，臧宇杰，高源，一种基于生成式模板的无偏场景图构造方法，专利号码：202311823118，申请时间：2023.12.27

[2] 李垚辰，宋康，吴潇，宋晨明，陈雨婷, 刘敬乐, 道路场景车辆检测与检索软件[简称: xjtu-vehicle], 登记号码：2021SR0039050, 2021.2.2.

[1] 李垚辰，袁建，霍慧慧，吴霄，左良玉，三维走廊式道路场景建模软件[简称: TITV], 登记号码：2019SR0772750, 2019.6.14.