任子良

1.个人简介

任子良，男，博士研究生，副教授，硕士研究生导师，CCF高级会员，2017年6月毕业于华南理工大学，先后在广州三星通讯研究院、中国科学院深圳先进技术研究院从事技术研发与科学研究等工作。目前主要从事机器视觉、动作识别与预测、行为理解和目标检测等方向的研究，先后在国内外学术期刊和国际学术会议发表学术论文60余篇，授权国家发明专利18件，主持广东省自然科学基金项目2项、东莞市科技特派员项目1项，作为核心成员/技术骨干参与科技部重点研发计划、国家自然科学基金、省市科学基金以及企业课题多项，获深圳市科学技术奖（技术发明奖）二等奖1项。

2.E-mail：renzl@dgut.edu.cn

3.工作经历

(1)2024/01-至今，东莞理工学院，计算机科学与技术学院，副教授

(2)2021/12-2023/12，东莞理工学院，计算机科学与技术学院，讲师

(3)2018/06-2021/11，中国科学院深圳先进技术研究院，博士后&助理研究员

(4)2012/07-2013/06，广州三星通讯研究院，工程师

4.科研项目

[1]粤莞联合基金-地区培育项目，基于人机协作关系表示的行为意图理解方法研究，2023年1月-2025年12月，30万，主持；

[2]广东省自然科学基金-面上项目，基于多模态特征关系嵌入表示的动作序列识别与理解方法研究，2023年1月-2025年12月，10万，主持；

[3]东莞市科技特派员项目，智慧园区复杂场景中目标检测与异常行为分析及预警系统研究，2022年9月-2023年8月，10万，主持；

[4]企业委托，AI行为分析系统，2024年1月-2024年12月，15万，主持。

5.学术论文

[1]Ziliang Ren, Li Luo, Yong Qin. Skeleton-guided and Supervised Learning of Hybrid Network for Multi-modal Action Recognition, Journal of Visual Communication and Image Representation, 107: 104389, 2025.

[2]Ziliang Ren, Miaomiao Jin, Huabei Nie, Jianqiao Shen, Ani Dong and Qieshi Zhang. Towards Realistic Human Motion Prediction with Latent Diffusion and Physics-Based Models, Electronics, 14: 605, 2025.

[3]Ronggui Liu, Ziliang Ren*, Wenhong Wei, Ziyang Zheng, Qieshi Zhang. Siamese Multi-View Masked Autoencoders for Skeleton-based Action Representation Learning, International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD), 2024.

[4]Huaigang Yang, Qieshi Zhang, Ziliang Ren^∗, Huaqiang Yuan^*, and Fuyong Zhang. Contrastive Learning with Cross-Part Bidirectional Distillation for Self-supervised Skeleton-based Action Recognition, Human-centric Computing and Information Sciences, 2024.

[5]Jiaqi Chen^#, Ziliang Ren^#, Qieshi Zhang*, Fuyong Zhang*, Wenguo Liu. Exploring the Potential of Residual Mechanism in Spiking Neural Networks for Human Action Recognition, Science China-Technological Sciences, 2024.

[6]Jiaqi Chen, Ziliang Ren^∗, Wenhong Wei, Qieshi Zhang, and Xiangyang Gao. Incorporating Recursive and Stateful Self-Connection Learning of SNNs for Improved DVS Event Stream Processing, International Conference on Neural Information Processing (ICONIP), 2024.

[7]Ziyang Zheng, Ziliang Ren^∗, Zhanhao Liang, Gulin Wang, Qieshi Zhang. MSGAT: multi-stage graph attention network for human motion prediction, IEEE International Conference on Image Processing (ICIP), 2024.

[8]Ziliang Ren, Qieshi Zhang, Qin Cheng, Zhenyu Xu, Shuai Yuan, Delin Luo*. Segment differential aggregation representation and supervised compensation learning of ConvNets for human action recognition, Science China-Technological Sciences, 67(1): 197-208, 2024.

[9]Ziliang Ren, Xiongjiang Xiao, Huabei Nie. Empowering efficient spatio-temporal learning with a 3D CNN for pose-based action recognition, Sensors, 24(23): 7682, 2024.

[10]Miaomiao Jin, Ziliang Ren*, Wenhong Wei, Qian Chen, Ni An. Human Motion Prediction Based on Graph Convolutional Networks and Multilayer Perceptron, International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD), 1-6, 2023.

[11]Huaigang Yang, Ziliang Ren*, Huaqiang Yuan, Qieshi Zhang, Wenhong Wei, Xiaoyu Hong. Multi-View Contrastive Self-supervised Triplet network for Skeleton-based Action Recognition, International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD), 2023, Best Student Paper.

[12]Huaigang Yang, Ziliang Ren*, Huaqiang Yuan, Zhenyu Xu and Jun Zhou. Contrastive self-supervised representation learning without negative samples for multimodal human action recognition, Frontiers in Neuroscience, (17)1225312: 1-14, 2023.

[13]Xiongjiang Xiao, Ziliang Ren*, Huan Li, Wenhong Wei, Zhiyong Yang, Huaide Yang. SlowFast Multimodality Compensation Fusion Swin Transformer Networks for RGB-D Action Recognition, Mathematics, 11(9): 2115, 2023.

[14]Li Luo, Ziliang Ren*, Yong Qin, Qieshi Zhang, Xiangyang Gao. Skeleton-Embedded Network for action recognition, IEEE International Conference on Real-time Computing and Robotics, 918-922, 2023.

[15]Jun Cheng, Ziliang Ren*, Qieshi Zhang, Xiangyang Gao, and Fusheng Hao. Cross-modality compensation convolutional neural networks for RGB-D action recognition, IEEE Transactions on Circuits and Systems for Video Technology, 32(3): 1498-1509, 2022.

[16]Ziliang Ren, Huaqiang Yuan, Wenhong Wei, Tiezhu Zhao, Qieshi Zhang*. Convolutional non-local spatial-temporal learning for multi-modality action recognition, Electronics Letters, 58(20): 765-767, 2022.

[17]Huaigang Yang, Ziliang Ren*, Huaqiang Yuan, Wenhong Wei, Qieshi Zhang and Zhaolong Zhang. Multi-scale and attention enhanced graph convolution network for skeleton-based violence action recognition, Frontiers in Neurorobotics, (16)1091361: 1-14, 2022.

[18]Xiongjiang Xiao, Ziliang Ren*, Wenhong Wei, Huan Li, Hua Tan. Shift Swin Transformer Multimodal Networks for Action Recognition in Videos, International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence, 1-6, 2022.

[19]Qingxia Li, Dali Gao, Qieshi Zhang, Wenhong Wei, Ziliang Ren*. Interactive learning of a dual convolution neural network for multi-modal action recognition, Mathematics, 10(21): 3923, 2022.

[20]Ziliang Ren, Qieshi Zhang, Jun Cheng*, Fusheng Hao, Xiangyang Gao. Segment spatial-temporal representation and cooperative learning of Convolution Neural Networks for multimodal-based action recognition, Neurocomputing, 433: 142-153, 2021.

[21]Ziliang Ren, Qieshi Zhang, Xiangyang Gao, Pengyi Hao, Jun Cheng*. Multi-modality Learning for Human Action Recognition, Multimedia Tools and Application, 80: 16185-16203, 2021.

[22]Ziliang Ren, Qieshi Zhang, Piye Qiao, Maolong Niu, Xiangyang Gao, and Jun Cheng*. Joint learning of convolution neural networks for RGB-D-based human action recognition, Electronics Letters, 56(21): 1112-1115, 2020.

[23]Kening Li, Yunbo Gong, Ziliang Ren*. A fatigue driving detection algorithm based on facial multi-feature fusion, IEEE Access, 8: 101244-101259, 2020.

6.专利授权和申请

[1]任子良等，一种脉冲神经网络的训练方法，发明专利，CN202410888494.5，2024-07-04

[2]任子良等，一种基于弱监督的自适应增强交互图卷积3D人体运动预测方法，发明专利，CN2024105109057，2024-04-26

[3]任子良，陈嘉琪，魏文红，梁展豪，洪小宇，谢满，一种基于脉冲神经网络的人体动作识别方法，发明专利，CN202311680248.2，2023-12-08

[4]任子良，靳苗苗，魏文红，秦勇，张福勇，一种基于弱监督与长短期记忆网络的3D人体运动预测方法，发明专利，CN2023108 68509.7，2023-07-17

[5]张锲石，程俊，欧阳祖薇，任子良，高向阳，康宇航.一种图像处理方法、终端设备及计算机可读存储介质，授权发明专利，ZL202111415647.7，2024-12-13

[6]张锲石，程俊，康宇航，任子良，高向阳，基于时空注意力和多级LSTM信息表达的车辆轨迹预测方法，授权发明专利，ZL202011423100.7，2024-10-18

[7]张锲石，程俊，林典，高向阳，任子良，康宇航，一种图像深度估计方法、终端设备及计算机可读存储介质，授权发明专利，ZL202010863390.0，2024-05-28

[8]李卫民，程俊，高向阳，任子良，张锲石，王海滨，一种人体动作捕捉系统及方法，授权发明专利，ZL202010268190.0，2024-04-16

[9]高向阳，程俊，张锲石，康宇航，任子良，郭海光，一种机器人的控制方法、机器人及存储介质，授权发明专利，CN202111518577.8，2024-03-22

[10]任子良，魏文红，李清霞，梁展豪，朴希南，一种人体动作识别和意图理解方法、终端设备及存储介质，授权发明专利，ZL202210675830.9，2024-01-10

[11]张锲石，程俊，任子良，康宇航，高向阳，一种基于轨迹相似性度量学习的多目标跟踪重定位方法，授权发明专利，CN202011435920.8，2023-12-26

[12]郑浩河，乔丕业，刘航，刘朝鹏，程俊，牛茂龙，程钦，任子良，人体动作识别方法、装置、计算机设备和存储介质，授权发明专利，CN202110828467.5，2023-08-15

[13]任子良，闫皎洁，张锲石，秦勇，张福勇，洪小宇，融合堆叠LSTM 与SAC 算法的路径规划方法及系统，授权发明专利，ZL202310649008.X，2023-06-06

[14]任子良，杨怀港，袁华强，魏文红，赵铁柱，基于知识蒸馏与多任务自监督学习的骨架行为识别方法，授权发明专利，CN202310512443.8，2023-05-09

[15]任子良，许震宇，秦勇，张福勇，曲超，任炎芳，一种定位方法、定位装置及存储介质，授权发明专利，ZL202310475470.2，2023-04-28

[16]任子良，罗里，梁展豪，秦勇，吴成锐，陈嘉韶，李银凤，动作序列识别和意图推断方法、装置、设备及存储介质, 授权发明专利，ZL202310335615.9，2023-04-23

[17]高向阳，程俊，张锲石，任子良，一种汽车驾驶员数据采集系统和穿戴式辅助驾驶设备，授权发明专利，CN201911284080.7，2023-04-11

[18]张锲石，程俊，詹廷章，任子良，高向阳，康宇航.基于道路特征的车辆轨迹预测数据处理方法和装置，授权发明专利，CN202111536333.2，2022-11-15

[19]高向阳，程俊，康宇航，任子良，张锲石，光源控制电路及视觉检测仪，授权发明专利，CN202111348689.3，2022-10-25

[20]任子良，程俊，张锲石，高向阳，康宇航，一种动作检测方法、装置、终端设备和存储介质，授权发明专利，ZL202110889116.5，2022-06-12

[21]任子良，程俊，张锲石，高向阳，康宇航，一种基于特征交互学习的动作识别方法及终端设备，授权发明专利，ZL202011078182.6，2020-10-10

[22]任子良，程俊，张锲石，高向阳，一种行为识别方法、装置及终端设备，授权发明专利，ZL201910718037.0，2019-08-05

7.获奖情况

[1] 2022年深圳市科学技术奖（技术发明奖）二等奖，人体动作识别与交互技术及应用，排名5/6。