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，东莞市特色人才，CCF高级会员/IEEE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、智能人机交互、人体行为理解和目标检测等方向的研究，先后主持国家重点研发计划“政府间国际科技创新合作”重点专项子课题1项、广东省自然科学基金项目2项、广东省普通高校重点领域专项1项、东莞市科技特派员项目1项，作为合作方负责人/核心成员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；在IEEE TMM、PR、SCTS、IEEE TCSVT等国内外学术期刊和国际学术会议发表学术论文80余篇，申请和授权国家发明专利50余件；获2025年中国发明协会创新奖一等奖1项、2022年深圳市科学技术奖（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，william威廉英国官网，威廉希尔足球官网，准聘副教授；

[2]2021/12-2023/12，william威廉英国官网，威廉希尔足球官网，准聘讲师；

[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.获奖情况

[1]2025年中国发明协会“发明创业奖”创新奖一等奖，面向信息物理系统的制造执行系统，排名3/6；

[2]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。

5.科研项目

[1]广东省普通高校重点领域专项，基于脉冲神经信号响应建模的人机交互意图理解方法研究，2025年10月-2027年9月，4万，在研，主持；

[2]国家重点研发计划“政府间国际科技创新合作”重点专项，开放场景下人机共融智能感知技术研究，2025年3月-2027年3月，40万/100万，在研，子课题负责人；

[3]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，结题，主持；

[4]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，结题，主持；

[5]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，结题，主持；

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

6.学术论文

（1）SCI论文

[1]Ziliang Ren, Ziyang Zheng, Yuze Ma, Almazbek Arzybaev, Peiting Li, Fuyong Zhang*. Human Motion Prediction Using Knowledge Distillation with Incremental Learning, Pattern Analysis and Applications, 29:120, 2026.

[2]Ziliang Ren, Jiaqi Chen, Fuxiang Wu, Qieshi Zhang*, Jun Cheng*. Language-Guided Multimodal Spiking Neural Networks for Event-Based Action Recognition, IEEE Transactions on Multimedia (TMM), 28: 3667-3681, 2026.

[3]Ziliang Ren, Jiaqi Chen, Qieshi Zhang*, Weiyu Yu, Fuyong Zhang*. Multimodal Alignment of Event and Text Streams in Spiking Neural Networks for Human Action Recognition, Pattern Recognition, 173: 112897, 2026.

[4]Ziliang Ren, Ronggui Liu, Yong Qin, Xiangyang Gao, Qieshi Zhang*. Masked Cosine Similarity Prediction for Self-supervised Skeleton-based Action Representation Learning, Pattern Analysis and Applications, 28(2): 86, 2025.

[5]Ziliang Ren, Miaomiao Jin, Yong Qin, Xiangyang Gao, Qieshi Zhang*. Enhanced Spatio-Temporal Motion Prediction Using Transformer-Augmented Graph Convolutional Networks, International Journal of Machine Learning and Cybernetics, 16(9): 6799-6815, 2025.

[6]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, 68(5): 1580401, 2025.

[7]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.

[8]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.

[9]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, 14(70): 1-20, 2024.

[10]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.

[11]Ziliang Ren, Xiongjiang Xiao, Huabei Nie. Empowering Efficient Spatio-Temporal Learning with 3D CNN for Pose-Based Action Recognition, Sensors, 24(23): 7682, 2024.

[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]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.

[15]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.

[16]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.

[17]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.

[18]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.

[19]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.

[20]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.

（2）EI论文

[1]Mengyao Li, Ziliang Ren^∗, Tiezhu Zhao, Qieshi Zhang, Kadyrkulova Kyial Kudayberdievna. Adaptive Graph Diffusion Models for Human Motion Prediction, IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2026. (CCF C类)

[2]Zefeng Chen, Ziliang Ren^∗, Xiangyang Gao, Qieshi Zhang. Spatio-Temporal Bifurcate-Fusion Spike Transformer, IEEE International Conference on Image Processing (ICIP), 2026. (CCF C类)

[3]Ka Chen, Ziliang Ren^∗, Hui Zhao, Qieshi Zhang, Xiangyang Gao. Enhancing Spike-Driven Transformers With Multi-Scale Features and High-Rank Interactions, IEEE International Conference on Image Processing (ICIP), 2026. (CCF C类)

[4]Deyu Yang, Ziliang Ren^∗, Yu Zou, Hongchao Gao, Ying Liu. ALF: Sharpness-Aware Adaptive Layer Fusion for Training-Free Anomaly Detection, IEEE International Conference on Image Processing (ICIP), 2026. (CCF C类)

[5]Yan Chen, Ziliang Ren^*, Qieshi Zhang, Anvarzoda Daler, Bandishova Risolat. Hybrid Spiking Neural Network for Action Recognition, IEEE International Conference on Control and Automation (ICCA), 2026.

[6]Zhihui Liang, Ziliang Ren^∗, Hongchao Gao, Ying Liu, Hang Chen. Maskedstar: Star-Shaped Masked Depthwise Convolutions for Lightweight Defect and Road Damage Detection, IEEE International Conference on Control and Automation (ICCA), 2026.

[7]Jun Zhou, Ziliang Ren*, Qieshi Zhang, Qosimov Abdunabi，Kholov Shavkat. SpikeAttn-YOLO: An Attention-Enhanced Spiking Neural Network for Energy-Efficient Object Detection, IEEE International Conference on Control and Automation (ICCA), 2026.

[8]Jianbo Shang, Ziliang Ren*, Qieshi Zhang, Fuyong Zhang, Tiezhu Zhao. Adaptive Multi-Frequency Attention Network for Human Motion Prediction, IEEE International Conference on Systems, Man, and Cybernetics, 7685-7691, 2025. (CCF C类)

[9]Jun Zhou, Ziliang Ren*, Qieshi Zhang, Kadyrkulova Kyial Kudayberdievna, Taalaybekova Aizharkyn. Re-parameterization Convolution Spiking Neural Network for Object Detection, IEEE International Conference on Systems, Man, and Cybernetics, 7692-7697, 2025. (CCF C类)

[10]Yan Chen, Ziliang Ren*, Yong Qin, Xiangyang Gao, Qieshi Zhang. Pure Spike Hybrid Neural Network for Action Recognition, International Conference on Information Communication and Signal Processing, 650-655, 2025.

[11]Zefeng Chen, Ziliang Ren*, Qingqi Zhong, Qieshi Zhang, Xiangyang Gao. Enhancing Spikeformer Interacting with Spatio-Temporal Attention for Accurate Human Action Recognition, International Conference on Information Communication and Signal Processing, 661-666, 2025.

[12]Miaomiao Jin, Ziliang Ren*, Qieshi Zhang, Tiezhu Zhao, and Hui Zhao. Incorporating Long and Short-Term Memory Networks and Quaternion Transformation for Human Motion Prediction, International Joint Conference on Neural Networks (IJCNN), 1-8, 2025. (CCF C类)

[13]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), 343-356, 2025. (CCF C类)

[14]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.

[15]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), 2306-2312, 2024. (CCF C类)

[16]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.

[17]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.

[18]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.

[19]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.

7.专利授权和申请

[1]任子良，陈卡，魏文红，钟庆琪，陈巧云，一种基于图引导事件帧增强与语义运动条件扫描的人体动作识别方法，CN2026112567063，2026-08-19；

[2]任子良，李梦尧，魏文红，张福勇，赵慧，一种基于意图理解图卷积网络的人体运动预测方法，CN202610084890.1，2026-01-22；

[3]任子良，陈燕，张锲石，魏文红，赵慧，秦勇，一种基于混合脉冲神经网络和注意力机制的视频人体动作识别方法，CN2025113582009，2025-09-23；

[4]任子良，梁智慧，张锲石，刘颖，高红超，一种基于多模态融合扩散模型的工业异常检测方法、装置、电子设备及存储介质，CN2025113399554，2025-09-19；

[5]任子良，杨德瑜，张锲石，刘颖，高红超，一种结合多模态语言视觉推理与生成增强的工业异常检测系统，CN 2025113399520，2025-09-19；

[6]任子良，尚剑波，魏文红，李清霞，聂华北，吴帅，叶梓菁，一种基于动态交互式混合锚点的多样化人体运动预测方法及装置，CN202510267045.3，2025-03-07；

[7]任子良，陈嘉琪，秦勇，张福勇，基于脉冲神经网络与自注意力机制的人体动作识别方法，CN202411993624.8，2024-12-31；

[8]任子良，周俊，魏文红，陈倩，陈杨杨，一种脉冲神经网络的训练方法，发明专利，CN202410888494.5，2024-07-04；

[9]任子良，郑梓洋，魏文红，秦勇，李环，邹裕，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；

[10]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；

[11]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；

[12]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；

[13]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；

[14]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；

[15]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；

[16]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，ZL202111518577.8，2024-03-22；

[17]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；

[18]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，ZL202011435920.8，2023-12-26；

[19]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；

[20]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；

[21]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，ZL202310512443.8，2023-05-09；

[22]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；

[23]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；

[24]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，ZL201911284080.7，2023-04-11；

[25]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，ZL202111536333.2，2022-11-15；

[26]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；

[27]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；

[28]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；

[29]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。