Yiran Chen
Yiran Chen | |
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陈怡然 | |
| Yiran Chen Yiran Chen's Portrait | |
| Born | (1976年02月29日) February 29, 1976 (age50) |
| Education |
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| Spouse | Hai "Helen" Li |
| Children | 2 |
| Awards |
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Otheracademic advisors | Chong-Cheng Fan |
| Website | ece |
Yiran Chen (Chinese: 陈怡然; pinyin: Chén Yírán; born February 29, 1976) is a Chinese-born American computer scientist and electrical engineer whose research concerns emerging memory technologies, neuromorphic computing, and machine-learning systems. He is the John Cocke Distinguished Professor of Electrical and Computer Engineering at Duke University,[1] where he directs the U.S. National Science Foundation AI Institute for Edge Computing Leveraging Next Generation Networks (Athena) and the Institute of AI Engineering.[2] [3]
Early life and education
[edit ]Chen was born in Zhengzhou, Henan, China, into a family of middle-school teachers.[4] He entered the Department of Electronic Engineering at Tsinghua University in 1994, was selected for an accelerated "4+2" program, and completed his undergraduate degree in 1998.[4] He received an M.S. from Tsinghua in 2001, advised by Chongcheng Fan,[5] and a Ph.D. from Purdue University in 2005, advised by Kaushik Roy and Cheng-Kok Koh.[6]
Career and research
[edit ]Chen worked at Synopsys in Silicon Valley from 2005 to 2007, where he developed PrimeTime VX, a statistical static timing analysis tool.[7] [8] In 2007, he and his wife, Hai (Helen) Li, joined Seagate Technology's Advanced Technology Group as circuit designers working on spintronic memory.[9] He joined the University of Pittsburgh as an assistant professor of electrical and computer engineering in 2010 and was promoted to associate professor with tenure in 2014.[10] [11]
Chen moved to Duke University in January 2017 and was named the John Cocke Distinguished Professor in 2023.[1] In 2021, he received a 20ドル million grant from the National Science Foundation to establish and direct Athena, an NSF AI institute focused on edge computing.[2] [12] In 2026, he became director of Duke's Institute of AI Engineering.[3] [13] With Hai Li and Huanrui Yang, he published the textbook Machine Learning and Neural Networks: A Computer Engineering Perspective (Springer, 2026),[14] and he received the Duke Graduate School's Dean's Award for Excellence in Mentoring in 2024.[15]
At Seagate, Chen led the design of a 16-kilobit spin-transfer torque random-access memory (STT-RAM) test chip[9] and co-authored a 2009 study describing a spintronic memristor, which was covered by IEEE Spectrum .[16] [17] His 2008 paper proposing 3D-stacked magnetic RAM as on-chip memory[18] received the IEEE Council on Electronic Design Automation A. Richard Newton Technical Impact Award in 2026.[19]
Two of his group's 2014 papers on neural-network accelerators based on nonvolatile memory received ten-year retrospective influential-paper awards from ASP-DAC (2024) and ICCAD (2023).[20] [21] His 2016 NeurIPS paper introduced structured-sparsity methods for compressing neural networks and was ranked by Paper Digest among the most influential NeurIPS 2016 papers.[22] [23] His work has also received best-paper awards at DATE 2017,[24] KDD 2020,[25] MICRO 2021,[26] ASP-DAC 2023,[27] and the 2024 AAAI Spring Symposium Series,[28] as well as the IEEE Transactions on Computer-Aided Design Donald O. Pederson Best Paper Award.[29] At the 2024 International Conference on Machine Learning, his group presented LaMAGIC, a language-model-based method for generating analog circuit topologies.[30]
Chen co-founded the Duke Center for Computational Evolutionary Intelligence[31] and the NSF Industry–University Cooperative Research Center for Alternative Sustainable and Intelligent Computing.[32] He served as editor-in-chief of IEEE Circuits and Systems Magazine from 2020 to 2023 and became founding editor-in-chief of IEEE Transactions on Circuits and Systems for Artificial Intelligence in 2024.[33] He chaired ACM's Special Interest Group on Design Automation from 2021 to 2024[34] and the steering committee of the IEEE Non-Volatile Memory Systems and Applications Symposium,[35] and served on a National Academies committee on machine learning in safety-critical applications from 2022 to 2025.[36]
Awards and honors
[edit ]- 2026: IEEE Council on Electronic Design Automation A. Richard Newton Technical Impact Award[19]
- 2025: Member of the European Academy of Sciences and Arts [10]
- 2023: Fellow of the National Academy of Inventors [37]
- 2023: IEEE Circuits and Systems Society Charles A. Desoer Technical Achievement Award[38]
- 2022: Fellow of the American Association for the Advancement of Science [39]
- 2022: IEEE Computer Society Edward J. McCluskey Technical Achievement Award[40]
- 2021: Outstanding Electrical and Computer Engineer Award, Purdue University[41]
- 2020: Fellow of the Association for Computing Machinery [42]
- 2018: Fellow of the Institute of Electrical and Electronics Engineers [43]
Selected publications
[edit ]- X. Dong, X. Wu, G. Sun, Y. Xie, H. Li, and Y. Chen, "Circuit and Microarchitecture Evaluation of 3D Stacking Magnetic RAM (MRAM) as a Universal Memory Replacement," ACM/IEEE Design Automation Conference, 2008, pp. 554–559.
- X. Wang, Y. Chen, H. Xi, H. Li, and D. V. Dimitrov, "Spintronic Memristor through Spin Torque Induced Magnetization Motion," IEEE Electron Device Letters, vol. 30, no. 3, 2009, pp. 294–297.
- Y. Chen, H. Li, X. Wang, W. Zhu, W. Xu, and T. Zhang, "A 130 nm 1.2V/3.3V 16 Kb Spin-Transfer Torque Random Access Memory with Nondestructive Self-Reference Sensing Scheme," IEEE Journal of Solid-State Circuits, vol. 47, no. 2, 2012, pp. 560–573.
- W. Wen, C. Wu, Y. Wang, Y. Chen, and H. Li, "Learning Structured Sparsity in Deep Neural Networks," Conference on Neural Information Processing Systems, 2016.
- C.-C. Chang, Y. Shen, S. Fan, J. Li, S. Zhang, N. Cao, Y. Chen, and X. Zhang, "LaMAGIC: Language-Model-based Topology Generation for Analog Integrated Circuits," International Conference on Machine Learning, 2024.
Other activities
[edit ]While at Tsinghua, Chen and several classmates co-founded the Weilan online bookstore (welan.com).[4] His Weibo channel on research and higher education has more than 591,000 followers.[44] He is a founding member of the steering committee of the Academic Alliance on AI Policy[45] and has commented on artificial intelligence in media outlets including Bloomberg, The New York Times , and Reuters.[46] [47] [48]
Personal life
[edit ]Chen is married to Hai (Helen) Li, the Marie Foote Reel E'46 Distinguished Professor and chair of the Department of Electrical and Computer Engineering at Duke University.[49] They have two sons.[50]
References
[edit ]- 1 2 "Duke Awards 44 Distinguished Professorships". Duke Today. May 4, 2023. Retrieved July 21, 2026.
- 1 2 "Athena: AI Institute for Edge Computing". Duke University. Retrieved July 21, 2026.
- 1 2 "Yiran Chen: Academic Experience". Scholars@Duke. Duke University. Retrieved July 21, 2026.
- 1 2 3 "怡"颗清华心 扬帆创未来——访清华电子系1994级校友陈怡然 [Interview with Yiran Chen, Tsinghua Electronic Engineering class of 1994]. Tsinghua Alumni Association (in Chinese). March 22, 2021. Archived from the original on July 22, 2026. Retrieved July 21, 2026.
- ↑ Master's thesis: Research on Dynamic Property and Gain-Clamping of EDFA, Tsinghua University, 2001.
- ↑ Ph.D. thesis: Design Techniques for Power Efficiency and Robustness in Scaled High-performance Systems, Purdue University, 2005.
- ↑ "Invisible Shield: Technology overview (inventor profile of Yiran Chen)" (PDF). University of Pittsburgh Innovation Institute. Retrieved July 21, 2026.
- ↑ "Synopsys Extends PrimeTime and Star-RCXT With Statistical Capabilities To Address Variation-Aware Design Challenges" (Press release). Synopsys. Retrieved July 21, 2026.
- 1 2 Y. Chen, H. Li, X. Wang, W. Zhu, W. Xu and T. Zhang, "A 130 nm 1.2V/3.3V 16 Kb Spin-Transfer Torque Random Access Memory with Nondestructive Self-Reference Sensing Scheme," IEEE Journal of Solid-State Circuits (JSSC), vol. 47, no.2, Feb. 2012, pp. 560-573.
- 1 2 "Yiran Chen". Duke Electrical & Computer Engineering. Duke University. Retrieved July 21, 2026.
- ↑ "Yiran Chen". IEEE Computer Society. Retrieved July 21, 2026.
- ↑ "NSF Launches Artificial Intelligence Research Center at Duke". Duke Today. July 29, 2021. Retrieved July 21, 2026.
- ↑ Chen, Claire (September 30, 2025). "Pratt considers proposal for new AI engineering institute, undergraduate major". The Duke Chronicle. Retrieved July 21, 2026.
- ↑ "Machine Learning and Neural Networks: A Computer Engineering Perspective". Springer. Retrieved July 21, 2026.
- ↑ "2024 Dean's Award: Yiran Chen, Ph.D." Duke University Graduate School. March 19, 2024. Retrieved July 21, 2026.
- ↑ X. Wang, Y. Chen, H. Xi, H. Li, and D. V. Dimitrov, "Spintronic Memristor through Spin Torque Induced Magnetization Motion," IEEE Electron Device Letters (EDL), Vol. 30, No. 3, pp. 294-297, Mar. 2009.
- ↑ Savage, Neil (March 16, 2009). "Spintronic Memristors". IEEE Spectrum. Retrieved July 21, 2026.
- ↑ X. Dong, X. Wu, G. Sun, Y. Xie, H. Li, and Y. Chen, "Circuit and Microarchitecture Evaluation of 3D Stacking Magnetic RAM (MRAM) as a Universal Memory Replacement," ACM/IEEE Design Automation Conference (DAC), Jun. 2008, pp. 554-559.
- 1 2 "Magnetic Memory: Laying the Foundations for Modern AI". Duke University Pratt School of Engineering. June 29, 2026. Retrieved July 21, 2026.
- ↑ B. Li, Y. Wang, Y. Wang, Y. Chen, and H. Yang, "Training Itself: Mixed-signal Training Acceleration for Memristor-based Neural Network," Asia and South Pacific Design Automation Conference (ASP-DAC), Jan. 2014, pp. 361-366.
- ↑ B. Liu, H. Li, Y. Chen, X. Li, T. Huang, Q. Wu, and M. Barnell, "Reduction and IR-drop Compensations Techniques for Reliable Neuromorphic Computing Systems," IEEE/ACM International Conference on Computer Aided Design (ICCAD), Nov. 2014, pp. 63-70.
- ↑ W. Wen, C. Wu, Y. Wang, Y. Chen, and H. Li, "Learning Structured Sparsity in Deep Neural Networks," Annual Conference on Neural Information Processing Systems (NeurIPS), Dec. 2016.
- ↑ "Most Influential NIPS Papers (2021-02)". Paper Digest. February 2021. Retrieved July 21, 2026.
- ↑ J. Mao, X. Chen, K. Nixon, C. Krieger, and Y. Chen, "MoDNN: Local Distributed Mobile Computing System for Deep Neural Network," Design, Automation & Test in Europe (DATE), Mar. 2017, pp. 1396-1401.
- ↑ A. Li, Y. Duan, H. Yang, Y. Chen, and J. Yang, "TIPRDC: Task-Independent Privacy-Respecting Data Crowdsourcing Framework for Deep Learning with Anonymized Intermediate Representations," ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Aug. 2020, pp. 824-832.
- ↑ "Fast Power Modelling for Accurate CPU Power Introspection". Arm Research. Retrieved July 21, 2026.
- ↑ C.-C. Chang, J. Pan, Z. Xie, J. Hu, and Y. Chen, "Rethink before Releasing your Model: ML Model Extraction Attack in EDA," Asia and South Pacific Design Automation Conference (ASP-DAC), Jan. 2023, pp. 252-257.
- ↑ J. Sun, Z. Xu, H. Yin, D. Yang, D. Xu, Z. Du, Y. Chen, and H. R. Roth, "FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models on the Edge," Federated Learning on the Edge Symposium of The AAAI Spring Symposium series (SSS), Mar. 2024.
- ↑ "Chen Wins IEEE Pederson Award". Duke University Pratt School of Engineering. Retrieved July 21, 2026.
- ↑ C.-C. Chang, Y. Shen, S. Fan, J. Li, S. Zhang, N. Cao, Y. Chen, and X. Zhang, "LaMAGIC: Language-Model-based Topology Generation for Analog Integrated Circuits," the 41st International Conference on Machine Learning (ICML), 2024. https://proceedings.mlr.press/v235/chang24c.html
- ↑ "Duke Center for Computational Evolutionary Intelligence". Duke University. Retrieved July 21, 2026.
- ↑ "NSF IUCRC for Alternative Sustainable and Intelligent Computing". Duke University. Retrieved July 21, 2026.
- ↑ "Chen Named Inaugural Editor-in-Chief of AI-Focused Journal". Duke University Pratt School of Engineering. February 29, 2024. Retrieved July 21, 2026.
- ↑ "ACM SIGDA E-Newsletter, July 2021" (PDF). ACM Special Interest Group on Design Automation. July 2021. Retrieved July 21, 2026.
- ↑ "Organizing Committee". IEEE Non-Volatile Memory Systems and Applications Symposium 2021. Retrieved July 21, 2026.
- ↑ "Using Machine Learning in Safety-Critical Applications: Setting a Research Agenda". National Academies of Sciences, Engineering, and Medicine. Retrieved July 21, 2026.
- ↑ "2023 NAI Fellows List" (PDF). National Academy of Inventors. December 2023. Retrieved July 21, 2026.
- ↑ "Congratulations to the 2023 IEEE CAS Society Award Recipients". IEEE Circuits and Systems Society. Retrieved July 21, 2026.
- ↑ "2022 AAAS Fellows". American Association for the Advancement of Science. Retrieved July 21, 2026.
- ↑ "Chen Wins IEEE 2022 Edward J. McCluskey Technical Achievement Award". Duke University Pratt School of Engineering. January 27, 2022. Retrieved July 21, 2026.
- ↑ "2021 Outstanding Electrical & Computer Engineers". Purdue University Elmore Family School of Electrical and Computer Engineering. Retrieved July 21, 2026.
- ↑ "2020 ACM Fellows recognized for work that underpins contemporary computing" (Press release). Association for Computing Machinery. January 13, 2021. Retrieved July 21, 2026 – via GlobeNewswire.
- ↑ "Professor Yiran Chen Named IEEE Fellow". Duke Center for Computational Evolutionary Intelligence. November 18, 2017. Retrieved July 21, 2026.
- ↑ "Yiran Chen on Weibo". Sina Weibo. Retrieved July 21, 2026.
- ↑ "Academic Alliance on AI Policy" . Retrieved July 21, 2026.
- ↑ "China's Manus Follows DeepSeek in Challenging US AI Lead". Bloomberg. March 10, 2025.
- ↑ "What DeepSeek's Success Says About China's Ability to Nurture Talent". The New York Times. February 10, 2025.
- ↑ Wagstaff, Jeremy (June 7, 2012). "Pushing the PRAM: when chips just can't get any smaller". Reuters.
- ↑ "Hai "Helen" Li". Duke Electrical & Computer Engineering. Duke University. Retrieved July 21, 2026.
- ↑ "Interview with Dr. Yiran Chen". EDN. Retrieved July 21, 2026.