哲学博士，香港中文大学

工学硕士，东南大学

工学学士，东南大学

陈廷欢博士目前是香港中文大学（深圳）理工学院助理教授。他从香港中文大学计算机科学与工程学系获得博士学位，从东南大学获得工学硕士及学士学位。陈博士的研究兴趣包括超大规模集成电路计算机辅助设计和面向边缘端的深度学习加速器设计。

陈博士在电子设计自动化领域权威期刊会议上发表多篇论文，入选国家级青年人才计划，主持国家重点研发计划、国家自然科学基金等多项科研项目，并获得2021年DATE、2024年ISPD会议最佳论文提名奖、2023年EDAthon竞赛第二名，担任EDA领域国际知名会议ICCAD和MLCAD的技术委员会委员。

1. Shangran Lin, Xinrui Zhu, Baohui Xie, Tinghuan Chen, Cheng Zhuo, Qi Sun, Bei Yu, "RISCSparse: Point Cloud Inference Engine on RISC-V Processor", IEEE/ACM International Conference on Computer-Aided Design (ICCAD), New Jersey, Oct. 27–31, 2024.
2. Mingjun Li, Pengjia Li, Shuo Yin, Shixin Chen, Beichen Li, Chong Tong, Jianlei Yang, Tinghuan Chen, Bei Yu, "WinoGen: A Highly Configurable Winograd Convolution IP Generator for Efficient CNN Acceleration on FPGA", ACM/IEEE Design Automation Conference (DAC), San Francisco, Jun. 23–27, 2024.
3. Yuyang Ye, Tinghuan Chen, Yifei Gao, Hao Yan, Bei Yu, Longxing Shi, "Timing-driven Technology Mapping Approximation Based on Reinforcement Learning", IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), vol. 43, no. 9, pp. 2755-2768, 2024.
4. Meng Zhang, Zheng Zhang, Yifan Niu, Jiayi Li, Zewei Chen, Guoqing Li, Yajun Ha, Tinghuan Chen, "Fast Constraints Tuning via Transfer Learning and Multi-objective Optimization", IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), vol. 43, no. 9, pp. 2705-2718, 2024.
5. Tinghuan Chen, Silu Xiong, Huan He, Bei Yu, "TRouter: Thermal-driven PCB Routing via Non-Local Crisscross Attention Networks", IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), vol. 42, no. 10, pp. 3388-3401, 2023.
6. Tinghuan Chen, Bin Duan, Qi Sun, Meng Zhang, Guoqing Li, Hao Geng, Qianru Zhang, Bei Yu, "An Efficient Sharing Grouped Convolution via Bayesian Learning", IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 33, no. 12, pp. 7367-7379, 2022.
7. Tinghuan Chen, Qi Sun, Canhui Zhan, Changze Liu, Huatao Yu, Bei Yu, "Deep H-GCN: Fast Analog IC Aging-induced Degradation Estimation", IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), vol. 41, no. 7, pp. 1990-2003, 2022.
8. Zheng Zhang, Tinghuan Chen, Jiaxin Huang, Meng Zhang, "A Fast Parameter Tuning Framework via Transfer Learning and Multi-objective Bayesian Optimization", ACM/IEEE Design Automation Conference (DAC), San Francisco, CA, Jul. 10–14, 2022.