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陈岑

个人简介

陈岑，博士，华南理工大学未来技术学院教授，博导，人工智能与数字经济广东省实验室（广州）研究员，入选国家级高层次青年人才，广州创新创业青年拔尖人才。研究方向：面向大数据和人工智能的高效能计算、并行与分布式计算。已累计在权威学术期刊和会议上发表论文100余篇。其中一作或通讯作者论文45篇，包括IEEE& ACM期刊或CCF A类期刊论文23篇，CCF A类会议论文10篇，中科院SCI 1区期刊论文20篇，授权专利17项。获得湖南省优秀博士论文，湖南省计算机学会优秀博士论文，ACM 中国新星（Changsha Chapter），新加坡人工智能人才特殊津贴。近年来，主持或参与国家自然科学基金面上项目、重点研发计划青年科学家项目、中国-新加坡自然科学基金国际(区域)合作与交流重点项目、华为EDA软件合作项目、新加坡国家人工智能项目、中国自然科学基金人工智能应急重点项目等。担任体系结构CCF A类期刊IEEE Transactions on Computers， Alexandria Engineering Journal编委, Neurocomputing、Journal of Parallel and Distributed Computing客座编辑。

研究领域

高效能计算技术是人工智能发展的底层支撑技术，也是我国面临的“卡脖子”技术方向之一。本人研究内容聚焦高效能智能计算技术，采用软硬件协同优化的创新研究思路，从“加速芯片架构-并行计算框架-高效智能模型”三个层次进行协同攻关，突破人工智能模型的计算效率瓶颈，推动人工智能核心计算技术创新和国产可替代。

教育经历

2015年9月--2019年3月 湖南大学，博士，计算机科学与技术               

2011年9月--2014年6月 中山大学，硕士             

2003年9月--2007年6月 华中科技大学，双学士

工作经历

2023.03- 至今     华南理工大学未来技术学院            教授 & 博士生导师

2023.03- 至今     人工智能与数字经济广东省实验室（广州）  研究员

2019.04- 2023.03  新加坡科技研究院资讯与通讯研究所    高级别研究科学家

2019.05-2021.05   湖南大学信息科学与工程学院           博士后

2011.01-2013.12   普联技术有限公司            项目经理&软件研发工程师

2008.01-2010.12   华为技术有限公司                   软件研发工程师

2007.07-2007.12   金蝶软件（中国）有限公司            软件研发工程师

科研项目情况

  1. 国家自然科学基金面上项目，“面向三维视觉的高效能智能计算关键技术研究”，2024/09/01 - 2028/12/31，在研，主持
  2. 国家重点研发计划青年科学家项目，“以神经形态计算为突破口的可重构纳米电子器件研究” 2024/12 - 2027/11，在研，任务负责人
  3. CCF-飞腾基金项目面向Transformer智能模型的轻量化算法与体系结构协同优化研究 ， 2024/01/01 - 2024/12/31，在研，主持
  4. 中国人工智能学会-昇思MindSpore学术基金，面向动态shape的图算融合性能加速， 2024/01/01 - 2024/12/31在研，主持
  5. CCF-百度松果基金项目合同，面向编译器优化的通用硬件适配技术研究，2025/01/01-2026/01/01，在研，主持
  6. 高校联合合作协议-个性化搜索中知识迁移与大规模语言模型的应用，2023/12/31- 2025/01/01，在研，主持
  7. 高校联合合作协议-电商直播运营中多模态大模型内容理解的研究， 2025/01/01-2025/12/31，在研，主持
  8. 广东省基础与应用基础研究基金自然科学基金面上项目，面向多模态边缘智能的高效能算法与体系结构协同设计，2024/01/01 - 2025/12/31, 在研，主持
  9. 国家自然科学基金国际合作与交流项目(No. 61661146006)：“面向列车故障监测的深度学习模型及其异构并行技术研究”，2017.01-2020.12，新加坡联合主持人，排名第二
  10. 华为海思EDA软件合作项目, 面向芯片验证的“超大规模多目标切分与调度算法” ,时间：2020.11-2021.11, 联合主持人，排名第二
  11. 国家自然科学基金人工智能应急项目(No. 61751204)：“面向大规模多模态机器学习的异构众核并行处理方法与平台”，2018.01-2020.12，参与

论文论著

  1. Cen Chen, Kenli Li, Xiaofeng, Zou, Yangfan Li, “ReGNN: A Redundancy-Eliminated Gr aph Neural Networks Accelerator”, The 28th IEEE International Symposium on High-Perfo rmance Computer Architecture (HPCA-28) , 2021.
  2. Cen Chen, Xiaofeng Zou, Hongen Shao, Yangfan Li, Kenli Li, Point Cloud Acceleration by Exploiting Geometric Similarity, MICRO 2023 International Symposium on Micro archi tecture, 2023.
  3. Cen Chen, Kenli Li, Yangfan Li, Xiaofeng, Zou, “DyGNN: Algorithm and Architecture S upport of Dynamic Pruning for Graph Neural Networks”, 58th Design Automation Confere nce (DAC), 2021.
  4. Cen Chen, Kenli Li, Sin G. Teo, Xiaofeng Zou, Xulei Yang, Ramaseshan C. Vijay and Z
  5. eng Zeng, “Gated Residual Recurrent Graph Neural Networks for Traffic Prediction”, 33th AAAI Conference on Artificial Intelligence (AAAI-19).
  6. Cen Chen, Kenli Li, A. Ouyang, Z. Zeng and K. Q. Li, “GFlink: An in-memory comput ing architecture on heterogeneous CPU-GPU clusters for big data,” IEEE Transactions on Parallel and Distributed Systems, 2018, 29(6): 1275-1288.
  7. Cen Chen, Kenli Li, A. Ouyang, and K. Q. Li, “FlinkCL: An OpenCL-based In-Memory Computing Architecture on Heterogeneous CPU-GPU Clusters for Big Data,” IEEE Transa ctions on Computers, 2018, DOI:10.1109/TC.2018.2839719.
  8. Cen Chen, Yangfan Li, Xulei Yang, Senior Member, IEEE, Jieming Yang, Xiaokang Wan g, Senior Member, Laurence T. Yang, “An Intelligent Edge-Cloud Collaborative Framewor k for Communication Security in Distributed Cyber-Physical Systems”, IEEE Network,2023.
  9. Cen Chen, Kenli Li, Zhongyao Cheng, Wei Wei, Qi Tian, Zeng Zeng, “Hierarchical Sem antic Graph Reasoning for Train Component Detection”, IEEE Transactions on Neural Net works and Learning Systems, DOI: 10.1109/TNNLS.2021.3057792, 2021.
  10. Cen Chen, Xiaofeng Zou, Zeng Zeng, Zhongyao Cheng, CH Steven, “Exploring Structural Knowledge for Automated Visual Inspection of Moving Trains”, IEEE Transactions on C ybernetics, DOI: 10.1109/TCYB.2020.2998126, 2020.
  11. Cen Chen, K. Li, A. Ouyang, Z. Tang and K. Q. Li, “GPU-Accelerated Parallel Hierarch ical Extreme Learning Machine on Flink for Big Data”， IEEE Transactions on Systems M an & Cybernetics Systems: Systems, 2017, 47(10):2740-2753.
  12. Cen Chen, Kenli Li, Wei Wei, Joey Tianyi Zhou, Zeng Zeng, “Hierarchical Graph Neural Networks for Few-Shot Learning”, IEEE Transactions on Circuits and Systems for Video Technology, DOI: 10.1109/TCSVT.2021.3058098, 2021.
  13. Cen Chen, Kenli Li, Cheng Zhongyao, Francesco Piccialli, Steven CH Hoi, Zeng Zeng, “A Hybrid Deep Learning based Framework for Component Defect Detection of Moving Trains”, IEEE Transactions on Intelligent Transportation Systems, DOI: 10.1109/TITS.2020. 3034239, 2020.
  14. Cen Chen, Kenli Li, Sin G Teo, Xiaofeng Zou, Keqin Li, Zeng Zeng, “Citywide Traffic Flow Prediction based on Multiple Gated Spatio-temporal Convolutional Neural Networks”, ACM Transactions on Knowledge Discovery from Data (TKDD), DOI:10.1145/3385414 2 020.
  15. Cen Chen, Kenli Li, Sin G. Teo, Guizi Chen, Xiaofeng Zou, Xulei Yang, Ramaseshan C. Vijay, Jiashi Feng and Zeng Zeng, “Exploiting Spatio-Temporal Correlations with Multipl e 3D Convolutional Neural Networks for Citywide Vehicle Flow Prediction”, IEEE Interna tional Conference on Data Mining (ICDM), 2018.
  16. Cen Chen, K. Li, A. Ouyang, and K. Q. Li, “A Parallel Approximate SS-ELM Algorithm based on MapReduce for Large-Scale Datasets”, Journal of Parallel and Distributed Co mputing，2017，208：85-94.
  17. Cen Chen, K. Li, A. Ouyang, Z. Tang, and K. Q. Li, “GFlink: An in-memory computing architecture on heterogeneous CPU-GPU clusters for big data”， Parallel Processing (ICP P), 2016 45th International Conference on. IEEE, 2016: 542-551.
  18. Cen Chen, Songyu Xie, Jing Liu, Zhongyao Cheng, Ziqian Zeng, Huiping Zhuang, Effici ent Point Cloud Video Recognition via Spatio-temporal Pruning for MEC based Consumer Applications, IEEE Transactions on Consumer Electronics, 2023.
  19. Yangfan Li, Cen Chen*, Kenli Li,“Attention-Aware Encoder-Decoder Graph Neural Networks for Heterogeneous Graph of Things”, IEEE Transactions on Industrial Informatics, DO I: 10.1109/TII.2020.3025592, 2020.
  20. Xiaofeng Zou, Kenli Li, Cen Chen*, “Multi-Level Attention based U-Shape Graph Neural Network for Point Clouds Learning”,  IEEE Transactions on Industrial Informatics, DO I: 10.1109/TII.2020.3046627， 2020.
  21. Mi Li, Cen Chen*, Xulei Yang, Joey Tianyi Zhou, Tao Zhang, and Yangfan Li，Towards Communication-efficient Digital Twin via AI-powered Transmission and Reconstruction, I EEE Journal on Selected Areas in Communications (JSAC), 2023.
  22. Yangfan Li, Cen Chen*, Weiquan Yan, Zhongyao Cheng, Hui Li Tan, Wenjie Zhang, Cascad e Graph Neural Networks for Few-Shot Learning on Point Clouds. IEEE Transactions on Intelligent Transportation Systems, 2023.（通信作者，SCI 1 Journal）
  23. Chuang Li, Yujie Peng, Cen Chen*, Gang Liu, Yangfan Li and Xulei Yang, Luochuan Z
  24. hang, Efficient Vision Transformer for Human-Centric AIoT Applications Through Token Tracking Assignment. IEEE Transactions on Consumer Electronics, 2023.
  25. Ming Yan, Cen Chen*, Jiawei Du, Xi Peng, Joey Tianyi Zhou, Zeng Zeng， “Memory-as sistant Collaborative Language Understanding for Artificial Intelligence of Things”, IEEE Transactions on Industrial Informatics, DOI: 10.1109/TII.2021.3100397, 2021.
  26. Chi Zhang, Liangli Zhen, Joey Tianyi Zhou, Cen Chen*, “Distributed Monitoring for Ene rgy Infrastructures: A Two-Tier Analysis Over Wireless Networks”, IEEE Wireless Commu nications, 2021.
  27. Z Zhao, Z Zeng, K Xu,  Cen Chen*, C Guan, “DSAL: Deeply Supervised Active Learning from Strong and Weak Labelers for Biomedical Image Segmentation”, IEEE Journal of Biomedical and Health Informatics, DOI: 10.1109/JBHI.2021.3052320,2021.
  28. Jianxi Yang, Likai Zhang, Cen Chen*, Yangfan Li, Ren Li, Guiping Wang, Shixin Jiang ,Zeng Zeng, “A Hierarchical Deep Convolutional Neural Network and Gated Recurrent Unit Framework for Structural Damage Detection”, Information Sciences, 2020.
  29. Zhongyao Cheng, Juelin Zhu, Cen Chen*, et al., “Robust Train Component Detection wit h Cascade Convolutional Neural Networks and Priori Knowledge”， The 23rd IEEE Internat ional Conference on Intelligent Transportation Systems, 2020.
  30. Chigang Xing, Yangfan Li, Cen Chen*, “Determinantal Point Process-based New Radio U nlicensed Link Scheduling for Multi-access Edge Computing”, World Wide Web: Internet and Web Information Systems (WWWJ), 2022.
  31. Zeng Zeng, Ziyuan Zhao, Kaixin Xu, Cen Chen*, Yulan Wang, Wei Wei, Pierce KH Chow and Xiaoli Li, IEEE “CoIn: Correlation Induced Clustering for Cognition of High Dimensional Bioinformatics Data”, IEEE Journal of Biomedical And Health Informatics, 2 022.
  32. Jing Liu, Pei Yang, Cen Chen*, Intelligent Energy-Efficient Scheduling with Ant Colony Techniques for Heterogeneous Edge Computing，Journal of Parallel and Distributed Comp uting， 2022.
  33. Huiping Zhuang，Run He，Kai Tong，Ziqian Zeng，Cen Chen*，Zhiping Lin, DS-AL: A Dual-Stream Analytic Learning for Exemplar-Free Class-Incremental Learning, 2023.
  34. Ziqian Zeng , Yihuai Hong, Hongliang Dai, Huiping Zhuang, Cen Chen*, ConsistentEE: A Consistent and Hardness-Guided Early Exiting Method for Accelerating Language Model s Inference, The Association for the Advance of Artificial Intelligence(AAAI) Conference, 2023.
  35. Xiaofeng Zou, Cen Chen*, Peiying Lin, Luochuan Zhang, Yanwu Xu, Wenjie Zhang, Scalable Heterogeneous Scheduling based Model Parallelism for Real-Time Inference of Large-Scale Deep Neural Networks, IEEE Transactions on Emerging Topics in Computational In telligence(TETCI), 2023.
  36. Hui Luo, Zhuangwei Zhuang, Yuanqing Li, Mingkui Tan, Cen Chen*, Jianlin Zhang, Tow ard Compact and Robust Model Learning Under Dynamically Perturbed Environments, IEEE Transactions on Circuits and Systems for Video Technology(TCSVT), 2023.
  37. Qinyu Wang, Xiaofeng Zou, Chuang Li, Yujie Peng, Heshi Wang, Yanhua Wen, Minaer Yeerlan, Cen Chen*, CST-ViT: Cascaded Spatio-Temporal Redundancy Elimination for Efficient Vision Transformers on Edge IoT Devices, IEEE Internet of Things Journal, 2025.
  38. Xiaofeng Zou, Cen Chen*, Luochuan Zhang, Shengyang Li, Joey Tianyi Zhou, Wei Wei, Kenli Li, Efficient message passing algorithm and architecture co-design for graph neural networks, IEEE Transactions on Emerging Topics in Computational Intelligence, 2024.
  39. Huiping Zhuang, Di Fang, Kai Tong, Yuchen Liu, Ziqian Zeng, Xu Zhou, Cen Chen*, Online analytic exemplar-free continual learning with large models for imbalanced autonomous driving task, IEEE Transactions on Vehicular Technology, 2024.
  40. Yangfan Li, Mengquan Li, Cen Chen, Xiaofeng Zou, Hongen Shao, Fengxiao Tang, Kenli Li, Simdiff: point cloud acceleration by utilizing spatial similarity and differential execution, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2024.
  41. Huiping Zhuang, Yizhu Chen, Di Fang, Run He, Kai Tong, Hongxin Wei, Ziqian Zeng, Cen Chen*, GACL: Exemplar-free generalized analytic continual learning, Advances in Neural Information Processing Systems, 2024, 37: 83024-83047.
  42. Xiaobin Zhuang, Cen Chen*, Xiaofeng Zou, Yeerlan Minaer, Huiping Zhuang, Gang Liu, Ziqian Zeng, DSPViT: Vision Transformer Accelerator with Dynamic Semantic-Aware Pruning. IEEE Ubiquitous Intelligence and Computing, 2025.

获得荣誉

  1. 新加坡人工智能人才特殊津贴 新加坡人工智能人才特殊津贴
  2. IEEE outstanding leadership award as Publication Chair of HPCA-2022 Outstanding Leadership Award
  3. 中青年拔尖人才 上海海外人才引进项目
  4. 面向大数据的异构并行处理技术研究 湖南省优秀博士毕业论文
  5. 面向大数据的异构并行处理技术研究 湖南省计算机学会优秀博士毕业论文

专利情况

  1. 国家发明专利 图数据处理方法、装置、计算机设备和存储介质 周旭;李博仁;李肯立;翁同峰;陈岑;肖国庆;阳王东 2021110280530
  2. 国家发明专利 知识图谱嵌入模型的训练方法、装置、计算机设备 李肯立;邓石桥;肖正;陈岑;段明星;刘楚波;阳王东;唐卓 2021108627054
  3. 国家发明专利 一种基于抽象语法树的集成电路建模获取方法及系统 李肯立;张金丽;肖正;陈岑;刘楚波;段明星;唐卓;廖清;肖国庆 2021103000200
  4. 国家发明专利 一种融入语义模型的遥感图像油罐检测方法 陈依彼;陈岑;陈建国;段明星;李肯立;李克勤;张尧学 2019104325274
  5. 国家发明专利 基于深度学习的大规模列车移位故障检测方法及系统 容学成;李克勤;陈岑;李肯立 201910390219X
  6. 国家发明专利 用于工业故障信息快速匹配的语义检索方法 李肯立;闫安民;阳王东;刘楚波;陈岑;周旭;吴帆;唐卓;李克勤 2019104285192
  7. 国家发明专利 基于三维卷积神经网络的蜂窝网络流量预测方法 陈岑;符潇;李肯立;李克勤 2019104087115
  8. 国家发明专利 一种基于CNN和组合高阶谱图像的调制样式识别方法和系统 李肯立;叶文华;周旭;刘楚波;陈岑;肖国庆;阳王东 202110782131X
  9. 国家发明专利 一种用于将超大规模网表转换成DAG图的方法和系统 李肯立;张屹东;陈岑;肖正;刘楚波;唐卓;阳王东;廖清 2021103202490
  10. 国家发明专利 一种基于近似算法缓存的最短路径查询方法和系统 李肯立;黄阳;周旭;陈岑;杨志邦;曾源远;罗文晟 2020112898603
  11. 国家发明专利 分布式计算平台下基于QoS约束的视频流处理方法和系统 阳王东;唐艳阳;李肯立;邹骁锋;郭大为;陈岑;李克勤 2020113032932
  12. 国家发明专利 基于CNN的时间序列预测方法和模型确定方法 李肯立;王康;陈岑;李克勤;段明星;刘楚波;阳王东 2019104607410
  13. 国家发明专利 一种并行top-k范围skyline查询方法和系统 李肯立;李晓雪;周旭;罗文晟;陈岑;肖国庆;廖清;阳王东;唐卓;廖湘科 2020110715167
  14. 国家发明专利 医学图像中病症组织定位方法、装置与设备 陈建国;李肯立;肖正;彭继武;李闯;陈岑;李克勤 2019105604119
  15. 国家发明专利 Spark-Streaming中间数据分区方法、装置、计算机设备和存储介质 3/7 2019104380360
  16. 国家发明专利 一种基于Flink的矩阵分解隐式反馈推荐方法和系统  唐卓;付仲明;陈岑;陈建国;李肯立;李克勤;廖湘科 2019104266350
  17. 国家发明专利 高效稀疏注意力算法优化方法、装置、设备及介质 庄晓斌;陈岑;庄辉平;刘刚;邹骁锋;曾子倩 2024114023252