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姓名: 邓仰东
职称: 副教授
电子邮件: dengyd@tsinghua.edu.cn
电话: 13701116023
研究领域: 工业大数据:针对工业装备的状态监控、故障检测和剩余寿命预测方法 类脑计算:整合深度神经网络和贝叶斯推理的预测式学习方法和集成电路设计
教育背景
1990-1995 清华大学电子工程系 学士 1995-1998 清华大学电子工程系 硕士 1998-2006 卡内基梅隆大学电子与计算机工程系 博士
工作履历
2004– 2006 高级软件工程师 Incentia Design Automation 2006 – 2008软件架构师 Magma Design Automation(Synopsys) 2008 – 2013 副研究员 清华大学微电子学研究所 2013 – 现在 博导、副研究员 清华大学软件学院
学术兼职
中车集团重大专项“轨道交通装备故障预测与健康管理技术研究与应用”项目副总设计师 2017 – 现在 NVIDIA合作教授 2010 –现在 中国精品课程中心特邀课程专家暨“众核并行计算”课程主编 2010 –现在 International Workshop on Frontier of GPU Computing会议主席 2012, 2011, 2010 VLSI Design Journal特邀主编 Jan. 2012 Technical program committee IEEE Computer Society Annual Symposium on VLSI (2013,2012,2011,2010,2009), HPC China (2013), ASP-DAC(2012),ACM International Workshop on Timing Issues in the Specification and Synthesis of Digital Systems (2010), IEEE/ACM Great Lakes Symposium on VLSI (2010) CUDA校园编程竞赛评委 2013,2012,2011,2010,2009
研究概况
基于现代图形处理器的超大规模并行逻辑仿真 Intel国际合作, 2012 – 2013 基于仿真的开源片上平台建模环境 Intel国际合作, 2010 – 2011 基于Intel Ct技术的电子设计自动化算法研究 Intel国际合作, 2010 – 2011 CUDA Excellence Center at Tsinghua University NVIDIA国际合作项目,2010 – 现在 基于仿真的开源片上平台建模环境 Intel国际合作, 2009 – 2011 轨道车辆嵌入式网络通信设备硬件子课题 清华大学与北车集团联合科研项目, 2012 三维集成光线追踪图形处理器体系结构研究 清华大学自主科研计划, 2012 – 2015 基于光线追踪机制的三维集成图形处理器体系结构研究 中国国家自然科学基金, 2012 – 2016 基于多物理信号的高速列车系统级健康分析仪器 中国国家自然科学基金重大仪器项目,2016 – 现在 轨道交通装备故障预测与健康管理技术研究与应用 中国中车科研计划重大专项,2017 – 2019 产品服务生命周期集成平台研发 国家重点研发计划,2019 – 现在
奖励与荣誉
清华大学骨干人才基金 2008年 NVIDIA合作教授奖 2010年,2009年 清华大学挑战杯优秀指导教师奖 2010年 国际计算机设计会议(International Conference on Computer Design)最佳论文奖 2013年 PASCAL VOC挑战赛目标检测第一名 2017年 MS Coco挑战赛目标检测第一名 2017年 计算机视觉和模式识别大会无人驾驶挑战赛目标检测第一名 2018年
学术成果
专著 1. Y. Deng, H. Chen, and Y. Liu, “Parallel Programming for Many-Core Processors,” Higher Education Publishing House, 2014. 2. Y. Deng and W. Maly, “3-D VLSI – A 2.5-D Integration Scheme,” Springer Verlag/Tsinghua University Publishing House, 2010. 3. Z. Wang and Y. Deng, “Structural VLSI Design and High Level Synthesis,” Tsinghua Publishing House, 1998. (清华大学集成电路设计课程教材) 特邀综述论文 1. Y. Deng and S. Mu, “A Survey on GPU Based Electronic Design Automation Computing,” Invited Paper, Foundation and Trends in Electronics Design Automation, Now Publishers, 2013, (单行本综述论文,180页). 2. Y. Deng, D. Wang, and Y. Zhu, “Asynchronous Parallel Logic Simulation on Modern Graphics Processors,” Why Scientists and Engineers Need GPUs, Springer, 2012. 3. Y. Deng, “Hardware/Software Co-Design for System-on-Chips,” Communications of China Computer Federation, Feb. 2012. 4. Y. Deng, "GPU Accelerated VLSI Design Verification," Invited paper, First International Workshop on Frontier of GPU Computing, Jun. 2010. 代表性会议论文 1. Zeming Li, Chao Peng, Gang Yu, Xiangyu Zhang, Yangdong Deng, Jian Sun, DetNet: A Backbone network for Object Detection, ECCV, 2018. (深度学习目标检测) 2. J. Huang, Y. Gao, S. Lu, X. Zhao, Y. Deng, and M. Gu, Energy-Efficient Automatic Train Driving by Learning Driving Patterns, AAAI, 2018. (人工智能节能驾驶) 3. Z. Li, Y. Chen, G. Yu, and Y. Deng, R-FCN++: Towards Accurate Region-based Fully Convolutional Networks for Object Detection, AAAI, 2018. (深度学习目标检测) 4. Z. Li, L. Liu, Y. Deng, S. Yin, Y. Wang, and S. Wei, Aggressive Parallelization of Irregular Applications on Reconfigurable Architectures, 44th International Symposium on Computer Architecture (ISCA), Toronto, Canada, 2017. (高性能计算机体系结构) 5. Z. Li, Y. Deng, and M. Gu: Path compression kd-trees with multi-layer parallel construction a case study on ray tracing. ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games (I3D), 2017. (高性能计算机体系结构) 6. X. Wang, Y. Deng, G. Zhang, and Z. Wang, Apparent resolution enhancement for near-eye light field display, SIGGRAPH Asia Mobile Graphics and Interactive Applications, 2015. (高性能AR设备) 7. Y. Wang, C. Liu, and Y. Deng, A feasibility study of ray tracing on mobile GPUs, SIGGRAPH Asia 2014 Mobile Graphics and Interactive Applications, 2014. (高性能计算机体系结构) 8. T. Wang and Y. Deng, Mining Effective Parallelism from Hidden Coherence for GPU Based Path Tracing, SIGGRAPH Asia, 2013. (高性能计算机体系结构) 9. K. Fang, Y. Ni, J. He, Z. Li, S. Mu, and Y. Deng, FastLane: An FPGA Accelerated GPU Microarchitecture Simulator, IEEE International Conference on Computer Design, 2013. (开源GPU处理器,最佳论文奖) 10.Y. Deng, B. Wang, and S. Mu, "Taming Irregular EDA Applications on GPUs," IEEE/ACM International Conference on Computer-Aided Design, Nov. 2009.(高性能计算) 代表性期刊论文 1. Y. Deng and S. Mu, “A Survey on GPU Based Electronic Design Automation Computing,” Invited Paper, Foundation and Trends in Electronics Design Automation, Now Publishers, 2013. (GPU计算综述) 2. S. Mu, Y. Deng, et. al. “Orchestrating Cache Management and Memory Scheduling for GPGPU Applications”, IEEE Transaction on Very Large Scale Integration, 2014. 3. Y. Jiang, H. Zhang, Z. Li, Y. Deng, X. Song, M. Gu, and J.-G. Sun: Design and Optimization of Multiclocked Embedded Systems Using Formal Techniques. IEEE Trans. Industrial Electronics 62(2): 1270-1278 (2015). . (形式验证) 4. J. Huang, Y. Deng, Q. Yang, J. Sun, An Energy- Efficient Train Control Framework for Smart Railway Transportation: IEEE Transactions on Computers 65, no. 5 (2016): 1407-1417. (人工智能交通应用) 5. Y. Deng, Y. Ni, Z. Li, S. Mu S. and W. Zhang, Toward Real-Time Ray Tracing: A Survey on Hardware Acceleration and Microarchitecture Techniques, ACM Computing Surveys, 2017.(光线追踪GPU体系结构) 6. Y. Lu, L. Liu, Leibo, Y. Deng, J. Weng, S. Yin, Y. Shi, S. Wei, Triggered-Issuance and Triggered-Execution: A Control Paradigm to Minimize Pipeline Stalls in Distributed Controlled Coarse-Grained Reconfigurable Arrays, IEEE Transactions on Parallel and Distributed Systems, 2018. (可重构计算机) 7. J. Huang, Q. Huang, Y.Deng, and Y.-H. Chen. “Toward Robust Vehicle Platooning With Bounded Spacing Error.” IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 36, no. 4 (2017): 562-572. (人工智能交通应用) 8. Z. Li , L. Liu , Y. Deng, S.Yin , and S. Wei, Breaking the Synchronization Bottleneck with Reconfigurable Transactional Execution, IEEE Computer Architecture Letters, Vol.17, No. 2, July-Dec. 1 2018.(可重构计算机) 9. Y. Lu, L. Liu, Leibo, Y. Deng, J. Weng, S. Yin, Y. Shi, S. Wei, Triggered-Issuance and Triggered-Execution: A Control Paradigm to Minimize Pipeline Stalls in Distributed Controlled Coarse-Grained Reconfigurable Arrays, Accepted, IEEE, Transactions on Parallel and Distributed Systems. (可重构计算机) 10.Z.Li, H. Wang, Y. Deng, X. Zhao, Y. Gao, X. Song, and M. Gu. Time-triggered Switch-Memory-Switch Architecture for Time-Sensitive Networking Switches. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 2018. (高性能硬件)