陈刚

教授

联系邮箱： cheng83@mail.sysu.edu.cn

教师简介

陈刚, 教授，博士生导师。博士毕业于慕尼黑工业大学计算机系，本硕毕业于西安交通大学。在近年来在相关领域的国内外学术会议及期刊上发表90+篇论文，授权专利17项，集成电路登记证书1项；作为项目/课题负责人承担了国家自然科学基金、广东省重点研发计划等国家、省部级项目以及横向课题10余项。以第一作者或者通讯作者获得领域知名国际会议最佳/杰出论文（提名）7次，集成电路特别设计奖1次, 最佳系统演示奖2次，其中A类会议获奖1次，B类会议获奖2次，C类会议获奖3次， 包括DATE 2021 (CCF-B)、ICESS 2022、ICET 2021、ESTIMedia 2013最佳论文奖、ICPADS杰出论文奖(CCF-C)、ASP-DAC 2023 特别设计奖 (CCF-C)以及FPL 2022(FPGA领域三大会议), CODES+ISSS 2020（CCF-B）最佳论文提名奖，CCF-DAC 2023最佳原型系统演示奖，CACAI 2023 最佳原型系统演示奖亚军(CAAI-A)。指导学生参加学科竞赛获得国家级奖项10余次，包括ICRA DJI RoboMaster Mobile Manipulation Challenge获得冠军和杰出技术奖 , 全国大学生机器人大赛RoboMaster 机甲大师赛全国一等奖（1次，4强）、全国赛区亚军和特等奖（各1次）, “挑战杯”全国大学生课外学术科技作品竞赛广东省特等奖（2次）、全国一等奖（1次）、全国三等奖（1次），第七届国际“互联网+”大学生创新创业大赛国赛银奖。

现招收博士后/博士/硕士研究生/高年级本科生。我的主要研究方向是高性能计算（领域定制加速器）、人工智能、机器人、嵌入式系统​。如果你对以上方向兴趣，同时也是务实并且自我驱动能力强的人，出于兴趣且能静下心来从事科研工作，希望攻读博士/硕士学位，欢迎随时和我联系！同时也欢迎本科生加入实验室从事科研工作。

研究领域: 

-机器人(智能感知，机器人芯片，SLAM)、人工智能（深度学习、类脑计算）、计算机视觉（视觉加速技术）、智能计算系统、嵌入式系统(实时调度，多核系统设计)

教育背景

  • 博士, Computer Science, 慕尼黑工业大学, 德国, 2011.10- 2016.01
  • 硕士, 控制科学与工程, 西安交通大学, 2008.09-2011.05
  • 学士, 生物医学工程, 西安交通大学, 2004.09-2008/06
  • 学士, 数学与应用数学, 西安交通大学, 2004.09-2008.06

工作经历

  • 教授,jbo竞博电竞官方网站,jbo竞博电竞官方网站, 2023.06-至今
  • 副教授,jbo竞博电竞官方网站,jbo竞博电竞官方网站,2018.11-2023.05
  • 副教授（一级）, 东北大学, 计算机科学与工程学院, 2016.07-2018.10

获奖及荣誉: 

以第一作者或者通讯作者获得领域知名国际会议最佳/杰出论文（提名）7次，集成电路特别设计奖1次, 最佳系统演示奖2次

  1. 29th IEEE International Conference on Parallel and Distributed Systems (ICPADS) , 2023, 杰出论文奖 （Outstanding Paper Award，CCF-C，通讯作者）
  2. 2023中国计算机协会集成电路设计与自动化学术会议(CCF-DAC), 2023, 最佳原型系统演示奖（Best Demo Award, 通讯作者）
  3. 2023 CAAI International Conference on Artificial Intelligence (CICAI)，2023，最佳原型系统演示奖亚军（Best Demo Award Runner-up，CAAI-A类会议，通讯作者）
  4. 28th Asia and South Pacific Design Automation Conference (ASP-DAC), 2023，特别设计奖 (Special Feature Award, 通讯作者)
  5. 18th IEEE International Conference on Embedded Software and Systems (ICESS), 2022，最佳论文奖（第一作者）
  6. 32nd International Conference on Field Programmable Logic and Applications (FPL)，2022，最佳论文提名奖 （FPGA领域三大会议，通讯作者）
  7. IEEE/ACM 25th Design, Automation & Test in Europe Conference (DATE), 2021, 最佳论文奖（EDA领域三大会议，会议当年论文录取率24%，通讯作者）
  8. IEEE International Conference on Electronic Technology (ICET), 2021, 最佳论文奖（通讯作者）
  9. IEEE/ACM International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS)， 2020，最佳论文提名奖 （CCF-B类会议，会议当年论文录取率21.9%，第一作者）
  10. IEEE Symposium on Embedded Systems for Real-Time Multimedia (ESTIMedia), 最佳论文奖, 2013 （第一作者）

指导学生参加学科竞赛获得国家级奖项10余次

  1. 2023“挑战杯”大学生课外学术科技作品竞赛,广东省特等奖, 全国三等奖  2023（指导教师）
  2. 2021“挑战杯”大学生课外学术科技作品竞赛,广东省特等奖、全国一等奖, 2021 （指导教师）
  3. 2021年第七届国际“互联网+”大学生创新创业大赛国赛银奖（指导教师）, 2021
  4. 2020年第十五届中国研究生电子设计大赛Xilinx企业最佳作品奖（唯一），2020（指导教师）
  5. 2020年第十五届中国研究生电子设计大赛华南赛区一等奖，2020（指导教师）
  6. 2019 International Competition of Autonomous Walking Intelligent Robots（RUNNING ROBOT）一等奖（奖金2000美金，排名第三）,  2019（指导教师）
  7. 第十七届全国大学生机器人大赛（全国赛区）RoboMaster机甲大师赛 特等奖，亚军 (30万人民币奖金),  2018（指导教师，与陆志国、刘冲老师联合指导）
  8. 全国大学生物联网设计竞赛（TI杯）区域赛特等奖（排名1/54）和全国赛区一等奖（排名13/120）,2018（指导教师） 
  9. 中美创客大赛区域赛特等奖，2018（指导教师）
  10. 第十六届全国大学生机器人大赛(全国赛区) RoboMaster机甲大师赛 一等奖, 2017 （指导教师，与陆志国、刘冲老师联合指导）
  11. ICRA DJI RoboMaster Mobile Manipulation Challenge, 冠军和杰出技术奖 (2万美金奖金) 2017, (指导教师, 与陆志国、刘冲老师联合指导)

主要学术兼职

  • IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS 2021,2022, 2025), 程序委员会委员
  • IEEE International Conference on Integrated Circuits, Technologies and Applications (ICTA 2021,2022), 程序委员会委员
  • IEEE International Symposium on Real-time Distributed Computing (ISORC 2019) 程序委员会委员
  • Journal of Circuits, Systems, and Computers (JCSC) 期刊副编辑
  • 第十五届全国嵌入式系统学术会议（ESTC 2017） 程序委员会主席
  • 重要期刊/会议审稿人: TC, TII, TECS,TODAES, JRTS, TCAD, DAES, EMSOFT 2016, RTSS 2016, DAC 2016, 2017, RTAS 2016

代表性论著: 

仅列出近3年以来的文章列表，*代表通讯作者。

2025 年:

[1]  Jianing Zheng and Gang Chen*. LoopLynx: A Scalable Dataflow Architecture for Efficient LLM Inference. In Design, Automation & Test in Europe Conference (DATE), 2025. (CCF-B，通讯作者, 25%接收率)

[2] Xunpei Sun, Gang Chen*, Zuoxun Hou. M2Flow: A Motion Information Fusion Framework for Enhanced Unsupervised Optical Flow Estimation in Autonomous Driving. In 39th AAAI Conference on Artificial Intelligence (AAAI). 2025 (CCF-A, 接收率23.4%)

[3] Wenwei Lin, Gang Chen*, Changcai Li. Adaptive Receptive Field Convolution for Top-view Fisheye Images Segmentation. In 50th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2025), 2025 (CCF-B)

2024 年:

[1] Changcai Li, Zonghua Gu, Gang Chen*, Libo Huang, Wei Zhang, Huihui Zhou. Real-time Stereo-based 3D Object Detection for Streaming Perception. Annual Conference on Neural Information Processing Systems (NeurIPS), 2024 (CCF-A) 

[2] Hanyu Zhou, Yi Chang, Zhiwei Shi, Wending Yan, Gang Chen, Yonghong Tian, Luxin Yan. Adverse Weather Optical Flow: Cumulative Homogeneous-Heterogeneous Adaptation. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024 (CCF-A)

[3] 李昌财，陈刚*，侯作勋，黄凯，张伟. 自动驾驶中的三维目标检测算法研究综述. 中国图形图像学报，2024

[4] Y Zhang, S Zhao, G Chen, K Huang.  Fault-tolerant DAG Scheduling with Runtime Reconfiguration on Multicore Real-Time Systems.  2024 IEEE 35th International Conference on Application-specific Systems, Architectures and Processors (ASAP) , 2024 (CCF-C)

[5] Y Zhang, S Zhao, G Chen, H Luo, K Huang.  Timing-accurate scheduling and allocation for parallel I/O operations in real-time systems. Journal of Systems Architecture (JSA), 2024 (CCF-B)

[6] Wencheng Li, Gang Chen*, Yi Chang. An Efficient Single Image De-raining Model with Decoupled Deep Networks. In IEEE Transactions on Image Processing (TIP). 2024 (CCF-A, Accepted, IF=10.6)

2023 年:

[1] Yu Zhang, Gang Chen*, Tao He, Qian Huang, Kai Huang. ViraEye: An Energy-Efficient Stereo Vision Accelerator with Binary Neural Network in 55 nm CMOS. In 28th Asia and South Pacific Design Automation Conference (ASP-DAC), 2023 (CCF-C, Special Feature Award)

[2] Hanyu Zhou, Yi Chang*, Gang Chen, Luxin Yan. Unsupervised Hierarchical Domain Adaptation for Adverse Weather Optical Flow. In 37th AAAI Conference on Artificial Intelligence (AAAI). 2023 (CCF-A)

[3] Yuanxing Yan, Yehua Ling, Kai Huang, Gang Chen*. An Efficient Real-Time Accelerator for High-Accuracy DNN-based Optical Flow Estimation in FPGA. In Journal of Systems Architecture (JSA), 2023. (CCF-B, IF=5.8)

[4] Biao Hu, Yinbin Shi, Gang Chen, Zhengcai Cao, MengChu Zhou. Workload-Aware Scheduling of Real-Time Jobs in Cloud Computing to Minimize Energy Consumption. IEEE Internet of Things Journal , 2023 (Accept,中科院1区, IF=10.2)

[5] Rihui Song, Zhidong Tan, Hongli Liang, Yehua Ling, Gang Chen, Jin Gong, Kai Huang. Dense Depth Estimation for Monocular Endoscope Robot with an Adaptive Baseline. 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2023 (CCF-C)

[6] Haitao Meng, Changcai Li, Chonghao Zhong, Jianfeng Gu, Gang Chen*. FastFusion: Deep Stereo-LiDAR Fusion for Real-time High-precision Dense Depth Sensing.  In Journal of Field Robotics (JFR), 2023. (机器人领域top期刊)

[7] Qian Huang, Shangxin Gao, Yu Zhang, Gang Chen*. EDS-SLAM: An Energy-efficient Accelerator for Real-time Dense Stereo SLAM with Learned Feature Matching. In 42nd International Conference on Computer-Aided Design (ICCAD), 2023 (Accepted，Aceeptance Rate 22.9%)

[8] Wendong Zheng, Yu Zhou, Gang Chen*, Zonghua Gu, Kai Huang. Towards Effective Training of Robust Spiking Recurrent Neural Networks under General Input Noise via Provable Analysis. In 42nd International Conference on Computer-Aided Design (ICCAD), 2023 (Accepted, Aceeptance Rate 22.9%)

[9] Hongbing Tan, Libo Huang,  Zhong Zheng, Hui Guo, Qianmin Yang, Li Shen, Gang Chen, Liquan Xiao, Nong Xiao. A Low-Cost Floating-Point Dot-Product-Dual-Accumulate Architecture for HPC-enabled AI. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2023 (Accepted, CCF-A)

[10] Wenwei Lin, Chonghao Zhong, Xunpei Sun, Haitao Meng, Gang Chen*, Biao Hu, Zonghua Gu. Rotation-Invariant Descriptors Learned With Circulant Convolution Neural Networks. 2023 IEEE 35th International Conference on Tools with Artificial Intelligence (ICTAI), 2023 ( CCF-C)

[11] Haitao Meng, Changcai Li, Gang Chen*, Long Chen, Alois Knoll. Efficient 3D Object Detection Based on Pseudo-LiDAR Representation. IEEE Transactions on Intelligent Vehicles, 2023 (IF=8.2)

[12] Yushen Wang, Yang Yang, Jiaxi Deng, Haitao Meng, Gang Chen*. FastOmniMVS: Real-Time Omnidirectional Depth Estimation From Multiview Fisheye Images. In 29th IEEE International Conference on Parallel and Distributed Systems (ICPADS), 2023 (CCF-C)

[13] Haitao Meng, Changcai Li, Gang Chen*, Zonghua Gu, Alois Knoll. ER3D: An Efficient Real-Time 3D Object Detection Framework for Autonomous Driving. In 29th IEEE International Conference on Parallel and Distributed Systems (ICPADS), 2023 (CCF-C，Outstanding Paper Award)

2022 年:

[1] Gang Chen, Zhaoheng Zhou, Shengyu He, Yi Zheng, Wang Yi. VoiceBit: GPU-Accelerated Real-Time Human Voice Separation for Mobile Phones. In 18th IEEE International Conference on Embedded Software and Systems (ICESS), 2022 （最佳论文奖）

[2] Changcai Li, Haitao Meng, Gang Chen*, Long Chen. Real-time Pseudo-LiDAR 3D object detection with geometric constraints. 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), 2022. (智能交通旗舰会议)

[3] Yehua Ling, Yuanxing Yan, Kai Huang, Gang Chen*. Ultra-Flow: An Ultra-fast and High-quality Optical Flow Accelerator with Deep Feature Matching on FPGA. In 32nd International Conference on Field Programmable Logic and Applications (FPL),2022. (FPGA三大权威会议，Stamatis Vassiliadis Memorial Best Paper Award Finalist)

[4] Wendong Zheng, Putian Zhao, Gang Chen*, Huihui Zhou; Yonghong Tian. A Hybrid Spiking Neurons Embedded LSTM Network for Multivariate Time Series Learning under Concept-drift Environment. In IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022 (CCF-A)

[5] Rui Xu, Siyu Luan, Zonghua Gu, Qingling Zhao, Gang Chen. LRP-based Policy Pruning and Distillation of Reinforcement Learning Agents for Embedded Systems. In 25th IEEE International Symposium on Real-Time Distribute Computing (ISORC), 2022.

[6] Yehua Ling, Tao He, Kai Huang, Gang Chen*. Lite-Stereo: A Resource-Efficient Hardware Accelerator for Real-time High-Quality Stereo Estimation Using Binary Neural Network. In IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2022. (CCF-A)

[7] Boyang Li, jieling Li, Gang Chen, Hejun Wu, Kai Huang. De-Snowing LiDAR Point Clouds with Intensity and Spatial-Temporal Features. 2022 IEEE International Conference on Robotics and Automation (ICRA), 2022. (CCF-B)

[8] Yehua Ling, Yuanxing Yan, Kai Huang, Gang Chen*. FlowAcc: Real-Time High-Accuracy DNN-based Optical Flow Accelerator in FPGA. In Design, Automation & Test in Europe Conference (DATE), 2022. (CCF-B)

[9] Mingyue Cui, Yuzhang Zhu, Yechang Liu, Yunchao Liu, Gang Chen, Kai Huang. Dense Depth-Map Estimation Based on Fusion of Event Camera and Sparse LiDAR. IEEE Transactions on Instrumentation and Measurement (TIM). 2022

[10] Yu Zhang, Tao He, Lefeng Peng, Yi Chang, Kai Huang, Gang Chen*. An ultra-high-speed hardware accelerator for image reconstruction and stereo rectification on event-based camera. Microelectronics Journal. 2022