ag视讯打不开-AG全讯网puma

Faculty

中文       Go Back       Search
QUAN Chen
Associate Professor
15546891485
chenq3@sustech.edu.cn

Dr. Chen Quan is an Associate Professor at the School of Microelectronics, Southern University of Science and Technology (SUSTech), and a PhD supervisor. A recognized high-level overseas talent in Shenzhen, he earned his PhD from the University of Hong Kong and previously held positions at UC San Diego and the University of Hong Kong.

 

Dr. Chen’s research focuses on advanced algorithms and tools in electronic design automation (EDA), particularly in large-scale analog and RF circuit simulation, multi-physics analysis, and nanodevice simulation. He has published over 50 papers in top EDA journals and conferences (TCAD, DAC, ICCAD), holds four Chinese patents, and has received several honors, including the Wu Wenjun Artificial Intelligence Chip Award and an ICCAD Best Paper Award nomination.

 

He has led and participated in numerous major research projects, including key, general, and special projects under the National Natural Science Foundation of China (NSFC), as well as major R&D project for Guangdong Province. He also leads several industry collaboration projects with EDA giants such as Huawei, Empyrean, and Guowei Group.

 

Dr. Chen welcomes individuals passionate in EDA research to join his research group. He has openings for Postdoctoral Fellows, Research Assistants, Graduate Students, as well as Internships. Interested individuals are invited to email a copy of his/her CV to his email address.

Contact:chenq3@sustech.edu.cn

 

Educational Background

2010, Ph.D., The University of Hong Kong

2007, Master, The University of Hong Kong

2005, Bachelor, Sun Yat-Sen (Zhongshan) University

 

Professional Experience

May 2025 to present, Associate Professor, Southern University of Science and Technology

Apr. 2019 to Apr.2025, Assistant Professor, Southern University of Science and Technology

Nov. 2012 to Dec, 2018, Research Assistant Professor, The University of Hong Kong (HKU)

Dec. 2011 to Oct. 2012, Postdoctoral Fellow, The University of Hong Kong (HKU)

Oct. 2010 to Nov. 2011, Postdoctoral Fellow, University of California, San Diego (UCSD)

 

Research Interests

Large-scale advanced analog/RF circuit simulation methods

Post-Moore era multi-physics analysis techniques

AI-assisted EDA technologies

 

Honors & Awards

2020 Wu Wenjun Artificial Intelligence Science and Technology Award, Second Prize

ICCAD 2012 Best Paper Award Nomination

 

Selected Publication

Journal paper:

1. L. Ouyang, C. Jin and Q. Chen, "A Recycling Krylov Subspace Method With High-Order Time Integration Methods for Fast Periodic AC and Noise Analysis," in IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 71, no. 9, pp. 4180-4188, Sept. 2024, doi: 10.1109/TCSI.2024.3410384. 

2. L. Ouyang, C. Jin and Q. Chen, "A Fast Recycling GMRES Method With Smart Frequency Sweeping for Efficient Periodic Small-Signal Analysis," in IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 71, no. 8, pp. 3765-3769, Aug. 2024, doi: 10.1109/TCSII.2024.3372404

3. Tao, Chaofan; Lin, Rui; Q. Chen; Zhang, Zhaoyang; Luo, Ping; Wong, Ngai, “FAT: Frequency-Aware Transformation for Bridging Full-Precision and Low-Precision Deep Representations”, IEEE Transactions on Neural Networks and Learning Systems, vol. 35, no. 2, pp. 2640 - 2654, Feb.2024

4. Yao Tong; Q. Chen, “Analytical Modeling of Multiple Co-Existing Inaccuracies in RF Controlling Circuits for Superconducting Quantum Computing”, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 43, no. 1, pp. 319 - 323, Jan.2024

5. Cong Wang; Dongen Yang; Jinming Lyu; Yong Dai; Cheng Zhuo; Q. Chen, “On Model Order Reduction and Exponential Integrator for Transient Circuit Simulation”, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 43, no. 1, pp. 328 - 339, Jan.2024

6. T. Hou, N. Wong, Q. Chen, Z. Ji and H. -B. Chen, Analytical Post-Voiding Modeling and Efficient Characterization of EM Failure Effects Under Time-Dependent Current Stressing," IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 42, no. 12, pp. 4959-4972, Dec. 2023.

7. Tianshu Hou; Peining Zhen; Ngai Wong; Q. Chen; Guoyong Shi; Shuqi Wang; Hai-Bao Chen,“Multilayer Perceptron-Based Stress Evolution Analysis Under DC Current Stressing for Multisegment Wires," IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 42, no. 2, pp. 544-557, Feb. 2023

8. D. Liu and Q. Chen, "TEMT: A Transient Electronic–Magnetic–Thermal-Coupled Simulation Framework for STT-MTJs," IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 42, no. 5, pp. 1623-1633, May 2023.

9. Dingbang Liu; Haoxiang Zhou; Wei Mao; Jun Liu; Yuliang Han; Changhai Man; Qiuping Wu; Zhiru Guo; Mingqiang Huang; Shaobo Luo; Mingsong Lv; Q. Chen; Hao Yu, "An Energy-Efficient Mixed-Bit CNN Accelerator With Column Parallel Readout for ReRAM-Based In-Memory Computing," IEEE Journal on Emerging and Selected Topics in Circuits and Systems, vol. 12, no. 4, pp. 821-834, Dec. 2022.

10. Tianshu Hou; Ngai Wong; Q. Chen; Zhigang Ji; Hai-Bao Chen, “A Space-Time Neural Network for Analysis of Stress Evolution under DC Current Stressing”,IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 41, no. 12, pp. 5501-5514, Dec. 2022.

11. Q. Chen, “EI-NK: A Robust Exponential Integrator Method with Singularity Removal and Newton-Raphson Iterations for Transient Nonlinear Circuit Simulation”, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems,vol. 41, no. 6, pp. 1693-1703, June 2022

 

Conference paper:

1. H. Zhou and Q. Chen, “EI-PIT: A Parallel-in-Time Exponential Integrator Method for Transient Linear Circuit Simulation”, 2024 IEEE/ACM International Conference On Computer Aided Design (ICCAD), USA, Oct. 2024.

2. H. Zhou, D. Yang, Y. Lin, Y. Dai and Q. Chen, "A Parallel Acceleration Technique based on Bordered Block Diagonal Matrix Reordering for Exponential Integrator Method," 2024 2nd International Symposium of Electronics Design Automation (ISEDA), Xi'an, China, 2024, pp. 94-99, doi: 10.1109/ISEDA62518.2024.10617631.

3. Geng Bai, Jinming Lyu, Yangfei Lin, Xingming Liu, Yong Dai, Dongen Yang, Lingyun Ouyang, Cong Wang, Q. Chen, "Back-Scaling Based Exponential Integrator Method with Multi-Process Parallel Processing for Transient Power/Ground Network Analysis," 2023 International Symposium of Electronics Design Automation (ISEDA), Nanjing, China, May 2023.

4. Y. Sha, J. Lan, Y. Li and Q. Chen, "A Physics-Informed Recurrent Neural Network for RRAM Modeling," 2023 International Symposium of Electronics Design Automation (ISEDA), Nanjing, China, May 2023.

5. C. Wang, D. Yang and Q. Chen, "EI-MOR: A Hybrid Exponential Integrator and Model Order Reduction Approach for Transient Power/Ground Network Analysis," 2022 IEEE/ACM International Conference On Computer Aided Design (ICCAD), San Diego, CA, USA, Oct. 2022.

6. Q. Chen, “A Robust Exponential Integrator Method for Generic Nonlinear Circuit Simulation”, Design Automation Conference (DAC), San Francisco, Jul. 2020.

千亿娱乐城注册| 永嘉县| 网上百家乐官网是真是假天涯论坛| 百家乐游戏论坛| 尊龙备用网站| 真人百家乐代理合作| 澳门百家乐官网21点| 玩网上百家乐的技巧| 乌兰县| 百家乐公式书| 百家乐官网记算| 宝龙娱乐城官网| 百家乐机械图片| 百家乐官网五式缆投法| 澳门百家乐官网技巧皇冠网| 威尼斯人娱乐城线上博彩| 百家乐官网大白菜| 全讯网址| 金银岛百家乐的玩法技巧和规则 | 大发888促销代码| 百家乐上分器定位器| 线上百家乐官网攻略| 香港六合彩图库| 永利高足球网| 怎样看百家乐路纸| 百家乐娱乐城信息| 百家乐官网博百家乐官网的玩法技巧和规则 | 百家乐官网平注秘籍| 百家乐官网微笑心法搜索| 七乐国际| 大发888娱乐场18| 百家乐园首选| 百家乐tt娱乐场开户注册| 百家乐官网平注法亏损| 澳门百家乐官网规律星期娱乐城博彩 | 百家乐自动下注| 百家乐怎样看点| 百家乐官网大| 玩百家乐官网免费| 百家乐官网棋牌交友| 娱乐城百家乐官网规则|