Xin Li

Electrical and Computer Engineering

Professor in the Department of Electrical and Computer Engineering

Xin Li Profile Photo

Research Themes

Applications, Artificial Intelligence & Machine Learning, Trustworthy Computing

Research Interests

Integrated circuits, signal processing and data analytics

Bio

Prof. Xin Li received the Ph.D. degree in Electrical and Computer Engineering from Carnegie Mellon University, Pittsburgh, Pennsylvania, in 2005, and the M.S. and B.S. degrees in Electronics Engineering from Fudan University, Shanghai, China, in 2001 and 1998, respectively.

In 2005, he co-founded Xigmix Inc. to commercialize his PhD research, and served as the Chief Technical Officer until the company was acquired by Extreme DA in 2007. In 2011, Extreme DA was further acquired by Synopsis (Nasdaq: SNPS). From 2009 to 2012, he was the Assistant Director for FCRP Focus Research Center for Circuit & System Solutions (C2S2), a national consortium of 13 research universities (CMU, MIT, Stanford, Berkeley, UIUC, UMich, Columbia, UCLA, among others) chartered by the U.S. semiconductor industry and U.S. Department of Defense to work on next-generation integrated circuit design challenges. From 2014 to 2015, he was the Assistant Director for the Center for Silicon System Implementation (CSSI), a CMU research center with 20 faculty members working on integrated circuits and systems. His research interests include integrated circuit, signal processing and data analytics.

He was an Associate Editor of IEEE Trans. on Biomedical Engineering (TBME), IEEE Trans. on Computer-Aided Design of Integrated Circuits and Systems (TCAD), ACM Trans. on Design Automation of Electronic Systems (TODAES), IEEE Design & Test (D&T), and Journal of Low Power Electronics (JOLPE). He was the Guest Editor for IEEE TCAD, IEEE TNANO, IEEE TBD, IEEE D&T, IEEE JETCAS, ACM TCPS, ACM JETC and VLSI Integration. He served on the Executive Committee of ACM Special Interest Group on Design Automation (SIGDA), IEEE Systems, Man, and Cybernetics Society Technical Committee on Cybernetics for Cyber-Physical Systems (TCCCPS), and IEEE Computer Society Technical Committee on VLSI (TCVLSI). He was the General Chair of ISVLSI, iNIS and FAC, and the Technical Program Chair of CAD/Graphics. He also served on the ACM/SIGDA Outstanding PhD Dissertation Award Selection Committee, the IEEE TTTC E. J. McCluskey Best Doctoral Thesis Selection Committee, the IEEE Outstanding Young Author Award Selection Committee, the Executive Committee of ISVLSI, GLSVLSI and iNIS, and the Technical Program Committee of DAC, ICCAD, ITC, ISVLSI, FAC, CAD/Graphics, ASICON and VLSI. He received the NSF Faculty Early Career Development Award (CAREER) in 2012, two IEEE Donald O. Pederson Best Paper Awards in 2013 and 2016, the Best Paper Award from Design Automation Conference (DAC) in 2010, two IEEE/ACM William J. McCalla ICCAD Best Paper Awards in 2004 and 2011, and the Best Paper Award from International Symposium on Integrated Circuits (ISIC) in 2014. In addition to these awards, he also received six Best Paper Nominations from Design Automation Conference (DAC), International Conference on Computer-Aided Design (ICCAD) and Custom Integrated Circuits Conference (CICC).

Education

MR Fudan University (China), 2001
Ph.D. Carnegie Mellon University, 2005

Positions

Professor in the Department of Electrical and Computer Engineering
Associate Vice Chancellor at Duke Kunshan University
Professor of Electrical and Computer Engineering at Duke Kunshan University

Awards, Honors, and Distinctions

Fellow. Institute of Electrical and Electronics Engineers. 2017
Best Paper Nomination. Design Automation Conference. 2016
IEEE Donald O. Pederson Best Paper Award. IEEE Council on EDA. 2016
Best Paper Nomination. Design Automation Conference. 2015
Best Paper Nomination. Design Automation Conference. 2014
Best Paper Nomination. International Conference on Computer-Aided Design. 2014
Best Paper Award. International Symposium on Integrated Circuits. 2014
IEEE Donald O. Pederson Best Paper Award. IEEE Council on EDA. 2013
NSF CAREER Award. NSF. 2012
IEEE/ACM William J. McCalla ICCAD Best Paper Award. IEEE/ACM. 2011
Senior Member. Institute of Electrical and Electronics Engineers. 2010
Best Paper Award. Design Automation Conference. 2010
Winner of Data Analysis Competition. International Conference on Biomagnetism. 2010
Best Paper Nomination. Design Automation Conference. 2006
IEEE/ACM William J. McCalla ICCAD Best Paper Award. IEEE/ACM. 2004

Courses Taught

K_ECE 580K: INTRO TO MACHINE LEARNING
K_CAPST 496: Signature Work Capstone II
K_CAPST 495: Signature Work Capstone I
ECE 891: Internship
ECE 580K: Introduction to Machine Learning
ECE 550K: Fundamentals of Computer Systems and Engineering
ECE 550DK: Fundamentals of Computer Systems and Engineering

Publications

He X, Wu D, Li X, Tong X. Back to the Past: A Systematic Review of Immersive Narrative in Cultural Heritage Conservation. Proceedings of the Association for Information Science and Technology. 2024 Oct 1;61(1):148–60.
Zhao S, Li Z, Zhu Z, Chang C, Li X, Chen YC, et al. An integrated framework for accurate trajectory prediction based on deep learning. Applied Intelligence. 2024 Oct 1;54(20):10161–75.
Liu Y, Chen S, Li P, Wan J, Li X. Status, challenges, and promises of data-driven battery lifetime prediction under cyber-physical system context. IET Cyber-Physical Systems: Theory and Applications. 2024 Sep 1;9(3):207–17.
Wu X, Xiao L, Du X, Zheng Y, Li X, Ma T, et al. Cross-domain document layout analysis using document style guide. Expert Systems with Applications. 2024 Jul 1;245.
Guo N, Chen S, Tao J, Liu Y, Wan J, Li X. Semi-supervised learning for explainable few-shot battery lifetime prediction. Joule. 2024 Jun 19;8(6):1820–36.
Pan R, Li X, Chakrabarty K. Root-Cause Analysis with Semi-Supervised Co-Training for Integrated Systems. ACM Transactions on Design Automation of Electronic Systems. 2024 May 3;29(3).
Lu T, Zhai X, Chen S, Liu Y, Wan J, Liu G, et al. Robust battery lifetime prediction with noisy measurements via total-least-squares regression. Integration. 2024 May 1;96.
Zhao S, Chen S, Zhou J, Li C, Tang T, Harris SJ, et al. Potential to transform words to watts with large language models in battery research. Cell Reports Physical Science. 2024 Mar 20;5(3).
Fu Z, Li X, Huai T, Li W, Dong D, He L. Robust depth completion based on Semantic Aggregation. Applied Intelligence. 2024 Mar 1;54(5):3825–40.
Fu D, Li X, Wen L, Dou M, Cai P, Shi B, et al. Drive Like a Human: Rethinking Autonomous Driving with Large Language Models. In: Proceedings - 2024 IEEE Winter Conference on Applications of Computer Vision Workshops, WACVW 2024. 2024. p. 910–9.
Wu K, Liu Y, Gao H, Tao J, Xiong W, Li X. Efficient Design Optimization for Diffractive Deep Neural Networks. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 2024 Jan 1;
Zhao S, Zhu Z, Li X, Chen YC. Communication-Efficient Federated Learning for Decision Trees. IEEE Transactions on Artificial Intelligence. 2024 Jan 1;
Wen L, Fu D, Li X, Cai X, Ma T, Cai P, et al. DILU: A KNOWLEDGE-DRIVEN APPROACH TO AUTONOMOUS DRIVING WITH LARGE LANGUAGE MODELS. In: 12th International Conference on Learning Representations, ICLR 2024. 2024.
Meng D, Li X, Wang W. Robust Sparse Recovery Based Vehicles Location Estimation in Intelligent Transportation System. IEEE Transactions on Intelligent Transportation Systems. 2024 Jan 1;25(1):1023–32.
Zhao S, Zhu Z, Li X, Chen YC. Robust Wafer Classification with Imperfectly Labeled Data Based on Self-Boosting Co-Teaching. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 2023 Jul 1;42(7):2214–26.
Wu K, Guo N, Li F, Zhu N, Tao J, Li X. Efficient Statistical Parameter Extraction for Modeling MOSFET Mismatch. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 2023 May 1;42(5):1618–22.
Yu H, Li X. Data-Driven Parameterized Corner Synthesis for Efficient Validation of Perception Systems for Autonomous Driving. ACM Transactions on Cyber-Physical Systems. 2023 Apr 19;7(2).
Zhou W, Tao J, Li X. A Blockchain-Based Certificate System with Credit Self-Adjustment. Wuhan University Journal of Natural Sciences. 2023 Apr 1;28(2):163–8.
Pan R, Li X, Chakrabarty K. Unsupervised Two-Stage Root-Cause Analysis With Transfer Learning for Integrated Systems. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 2023 Feb 1;42(2):497–508.
Gao Z, Wang F, Tao J, Su Y, Zeng X, Li X. Correlated Bayesian Model Fusion: Efficient High-Dimensional Performance Modeling of Analog/RF Integrated Circuits Over Multiple Corners. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 2023 Feb 1;42(2):360–70.
Nguyen C, Li X, Blanton S. Correlated Bayesian Co-Training for Virtual Metrology. IEEE Transactions on Semiconductor Manufacturing. 2023 Feb 1;36(1):28–36.
Xia Z, Liu Y, Li X, Zhu X, Ma Y, Li Y, et al. SCPNet: Semantic Scene Completion on Point Cloud. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 2023. p. 17642–51.
Ma T, Yang X, Zhou H, Li X, Shi B, Liu J, et al. DetZero: Rethinking Offboard 3D Object Detection with Long-term Sequential Point Clouds. In: Proceedings of the IEEE International Conference on Computer Vision. 2023. p. 6713–24.
Kong L, Liu Y, Li X, Chen R, Zhang W, Ren J, et al. Robo3D: Towards Robust and Reliable 3D Perception against Corruptions. In: Proceedings of the IEEE International Conference on Computer Vision. 2023. p. 19937–49.
Li X, Ma T, Hou Y, Shi B, Yang Y, Liu Y, et al. LoGoNet: Towards Accurate 3D Object Detection with Local-to-Global Cross- Modal Fusion. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 2023. p. 17524–34.
Liu Y, Chen R, Li X, Kong L, Yang Y, Xia Z, et al. UniSeg: A Unified Multi-Modal LiDAR Segmentation Network and the OpenPCSeg Codebase. In: Proceedings of the IEEE International Conference on Computer Vision. 2023. p. 21605–16.
Liu M, Li X, Chakrabarty K. Machine Learning Support for Board-Level Functional Fault Diagnosis. In: Machine Learning Support for Fault Diagnosis of System-on-Chip. 2023. p. 247–73.
Tao J, Yu H, Su Y, Zhou D, Zeng X, Li X. Correlated Rare Failure Analysis via Asymptotic Probability Evaluation. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 2022 Apr 1;41(4):813–26.
Gao Z, Tao J, Su Y, Zhou D, Zeng X, Li X. Fast Statistical Analysis of Rare Failure Events with Truncated Normal Distribution in High-Dimensional Variation Space. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 2022 Mar 1;41(3):789–93.
Liu M, Li X, Chakrabarty K, Gu X. Knowledge Transfer in Board-Level Functional Fault Diagnosis Enabled by Domain Adaptation. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 2022 Mar 1;41(3):762–75.
Li X, Shi B, Hou Y, Wu X, Ma T, Li Y, et al. Homogeneous Multi-modal Feature Fusion and Interaction for 3D Object Detection. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2022. p. 691–707.
Pan R, Li X, Chakrabarty K. Semi-Supervised Root-Cause Analysis with Co-Training for Integrated Systems. In: Proceedings of the IEEE VLSI Test Symposium. 2022.
Cao K, Hu S, Shi Y, Colombo AW, Karnouskos S, Li X. A Survey on Edge and Edge-Cloud Computing Assisted Cyber-Physical Systems. IEEE Transactions on Industrial Informatics. 2021 Nov 1;17(11):7806–19.
Hu S, Shi Y, Colombo A, Karnouskos S, Li X. Guest Editorial: Cloud-Edge Computing for Cyber-Physical Systems and Internet of Things. IEEE Transactions on Industrial Informatics. 2021 Nov 1;17(11):7802–5.
Zhao S, Li X, Chen YC. Robust Classification with Noisy Labels for Manufacturing Applications: A Hybrid Approach Based on Active Learning and Data Cleaning. In: IECON Proceedings (Industrial Electronics Conference). 2021.
Liu M, Ye F, Li X, Chakrabarty K, Gu X. Board-Level Functional Fault Identification Using Streaming Data. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 2021 Sep 1;40(9):1920–33.
Pan R, Li X, Chakrabarty K. Unsupervised root-cause analysis with transfer learning for integrated systems. In: Proceedings of the IEEE VLSI Test Symposium. 2021.
Li M, Xu H, Huang X, Song Z, Liu X, Li X. Facial Expression Recognition with Identity and Emotion Joint Learning. IEEE Transactions on Affective Computing. 2021 Apr 1;12(2):544–50.
Pan R, Zhang Z, Li X, Chakrabarty K, Gu X. Black-Box Test-Cost Reduction Based on Bayesian Network Models. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 2021 Feb 1;40(2):386–99.
Peng F, Yu H, Tao J, Su Y, Zhou D, Zeng X, et al. Efficient Statistical Analysis for Correlated Rare Failure Events via Asymptotic Probability Approximation. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 2020 Dec 1;39(12):4971–84.
Hu S, Li X, He H, Cui S, Parashar M. Big Data for Cyber-Physical Systems. IEEE Transactions on Big Data. 2020 Dec 1;6(4):606–8.
Li X, Wu X, Ma T, Zhou Z, Chen L, He L. Margin Guidance Network for Arbitrary-shaped Scene Text Detection. In: Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI. 2020. p. 1111–7.
Pan R, Zhang Z, Li X, Chakrabarty K, Gu X. Unsupervised Root-Cause Analysis for Integrated Systems. In: Proceedings - International Test Conference. 2020.
Li L, Liu Y, Wei T, Li X. Exploring Inter-Sensor Correlation for Missing Data Estimation. In: IECON Proceedings (Industrial Electronics Conference). 2020. p. 2108–14.
Gao Z, Tao J, Su Y, Zhou D, Zeng X, Li X. Efficient Rare Failure Analysis over Multiple Corners via Correlated Bayesian Inference. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 2020 Oct 1;39(10):2029–41.
Liu M, Pan R, Ye F, Li X, Chakrabarty K, Gu X. Fine-grained Adaptive Testing Based on Quality Prediction. In: ACM Transactions on Design Automation of Electronic Systems. 2020.
Nguyen C, Li X, Blanton S. Efficient Classification via Partial Co-Training for Virtual Metrology. In: IEEE International Conference on Emerging Technologies and Factory Automation, ETFA. 2020. p. 753–60.
Zhao S, Li X, Chen YC. A Classification Framework Using Imperfectly Labeled Data for Manufacturing Applications. In: IEEE International Conference on Emerging Technologies and Factory Automation, ETFA. 2020. p. 921–8.
Li X, Wen X, Jin B, Wang X, Wang J, Cai J. Visual-to-Semantic Hashing for Zero Shot Learning. In: Proceedings of the International Joint Conference on Neural Networks. 2020.
Nguyen CM, Li X, Blanton RDS. Partial Bayesian Co-training for Virtual Metrology. IEEE Transactions on Industrial Informatics. 2020 May 1;16(5):2937–45.
Tao J, Zeng X, Li X. Response surface modeling. In: Modelling Methodologies in Analogue Integrated Circuit Design. 2020. p. 7–37.
Li X, Wang X, Jin B, Zhang W, Wang J, Zha H. VSB²-Net: Visual-semantic bi-branch network for zero-shot hashing. In: Proceedings - International Conference on Pattern Recognition. 2020. p. 1836–43.
Seo JS, Cao Y, Li X, Whatmough P. Guest editors’ introduction: Hardware and algorithms for energy-constrained on-chip machine learning (part 2). ACM Journal on Emerging Technologies in Computing Systems. 2019 Dec 1;15(4).
Pan R, Tao J, Su Y, Zhou D, Zeng X, Li X. Analog/RF post-silicon tuning via Bayesian optimization. ACM Transactions on Design Automation of Electronic Systems. 2019 Dec 1;25(1).
Feng X, Jiang Y, Yang X, Du M, Li X. Computer vision algorithms and hardware implementations: A survey. Integration. 2019 Nov 1;69:309–20.
Liu M, Li X, Chakrabarty K, Gu X. Knowledge transfer in board-level functional fault identification using domain adaptation. In: Proceedings - International Test Conference. 2019.
Xing YL, Wang J, Li X, Zhu LF, Zhao HB. Track Circuit Signal Denoising Method Based on Q-Learning Algorithm. In: 2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019. 2019. p. 2503–8.
Tao J, Su Y, Zhou D, Zeng X, Li X. Graph-Constrained Sparse Performance Modeling for Analog Circuit Optimization via SDP Relaxation. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 2019 Aug 1;38(8):1385–98.
Seo JS, Cao Y, Li X, Whatmough P. Guest editors' introduction to the special section on hardware and algorithms for energy-constrained on-chip machine learning. ACM Journal on Emerging Technologies in Computing Systems. 2019 Jun 1;15(2).
Cui G, Yu W, Li X, Zeng Z, Gu B. Machine-Learning-Driven Matrix Ordering for Power Grid Analysis. In: Proceedings of the 2019 Design, Automation and Test in Europe Conference and Exhibition, DATE 2019. 2019. p. 984–7.
Pan R, Zhang Z, Li X, Chakrabarty K, Gu X. Black-Box Test-Coverage Analysis and Test-Cost Reduction Based on a Bayesian Network Model. In: Proceedings of the IEEE VLSI Test Symposium. 2019.
Liu M, Ye F, Li X, Chakrabarty K, Gu X. Board-Level Functional Fault Identification using Streaming Data. In: Proceedings of the IEEE VLSI Test Symposium. 2019.
Saragadam V, Li X, Sankaranarayanan AC. Cross-Scale Predictive Dictionaries. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. 2019 Feb;28(2):803–14.
Boning DS, Elfadel IAM, Li X. A Preliminary Taxonomy for Machine Learning in VLSI CAD. In: Machine Learning in VLSI Computer-Aided Design. 2019. p. 1–16.
Tao J, Wang F, Cachecho P, Zhang W, Sun S, Li X, et al. Large-Scale Circuit Performance Modeling by Bayesian Model Fusion. In: Machine Learning in VLSI Computer-Aided Design. 2019. p. 403–22.
Yu H, Shi W, Alawieh MB, Yan C, Zeng X, Li X. Efficient Statistical Validation of Autonomous Driving Systems. In: Unmanned System Technologies. 2019. p. 5–32.
Yu H, Li X, Murray RM, Ramesh S, Tomlin CJ. Introduction. In: Unmanned System Technologies. 2019. p. 1–4.
Elfadel IAM, Boning DS, Li X. Machine Learning in VLSI Computer-Aided Design. 2019.
Tao J, Sun S, Li X, Liu H, Luo K, Gu B, et al. Fast Statistical Analysis of Rare Circuit Failure Events. In: Machine Learning in VLSI Computer-Aided Design. 2019. p. 349–73.
Tao J, Zhang W, Li X, Liu F, Acar E, Rutenbar RA, et al. Efficient Process Variation Characterization by Virtual Probe. In: Machine Learning in VLSI Computer-Aided Design. 2019. p. 201–31.
Alawieh MB, Wang F, Li X. Efficient hierarchical performance modeling for analog and mixed-signal circuits via Bayesian co-learning. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 2018 Dec 1;37(12):2986–98.
Jun M, Negi R, Yin S, Alawieh M, Wang F, Sunny M, et al. Environment-Adaptable Fast Multi-Resolution (EAF-MR) optimization in large-scale RF-FPGA systems. Eurasip Journal on Wireless Communications and Networking. 2018 Dec 1;2018(1).
Wei T, Chen X, Li X, Zhu Q. Model-based and data-driven approaches for building automation and control. In: IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD. 2018.
Liu Y, Li X. Predictive Modeling for Advanced Virtual Metrology: A Tree-Based Approach. In: IEEE International Conference on Emerging Technologies and Factory Automation, ETFA. 2018. p. 845–52.
Zhu Q, Sangiovanni-Vincentelli A, Hu S, Li X. Design Automation for Cyber-Physical Systems [Scanning the Issue]. Proceedings of the IEEE. 2018 Sep 1;106(9):1479–83.
Liu Y, Chen X, Kadambi D, Bari A, Li X, Hu S, et al. Dependable visual light-based indoor localization with automatic anomaly detection for location-based service of mobile cyber-physical systems. ACM Transactions on Cyber-Physical Systems. 2018 Aug 1;3(1).
Zhang B, Li X, Han J, Zeng X. MiniTracker: A Lightweight CNN-based System for Visual Object Tracking on Embedded Device. In: International Conference on Digital Signal Processing, DSP. 2018.
Liu M, Pan R, Ye F, Li X, Chakrabarty K, Gu X. Fine-Grained Adaptive Testing Based on Quality Prediction. In: Proceedings - International Test Conference. 2018.
Cao Y, Li X, Seo JS, Dasika G. Guest editors' introduction: Frontiers of hardware and algorithms for on-chip learning. ACM Journal on Emerging Technologies in Computing Systems. 2018 Jul 1;14(2).
Albalawi H, Li X. Single-Channel Real-Time Drowsiness Detection Based on Electroencephalography. In: Annual International Conference of the IEEE Engineering in Medicine and Biology Society IEEE Engineering in Medicine and Biology Society Annual International Conference. 2018. p. 98–101.
Pan J, Li M, Song Z, Liu X, Yi H, Zhu M, et al. An efficient audio based performance evaluation system for computer assisted piano learning. In: ICNC-FSKD 2017 - 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery. 2018. p. 2694–8.
Xue Y, Li X, Blanton RD. Improving Diagnostic Resolution of Failing ICs Through Learning. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 2018 Jun 1;37(6):1288–97.
Alawieh MB, Wang F, Li X. Identifying wafer-level systematic failure patterns via unsupervised learning. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 2018 Apr 1;37(4):832–44.
Yu H, Li X. Intelligent corner synthesis via cycle-consistent generative adversarial networks for efficient validation of autonomous driving systems. In: Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC. 2018. p. 9–15.
Ghai D, Li X, Ghosal P. Message from the general chairs. In: Proceedings - 2017 IEEE International Symposium on Nanoelectronic and Information Systems, iNIS 2017. 2018. p. xi.
Alawieh M, Wang F, Tao J, Yin S, Jun M, Li X, et al. Efficient programming of reconfigurable radio frequency (RF) systems. In: IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD. 2017. p. 772–9.
Yu H, Yan C, Zeng X, Li X. Impact of circuit-level non-idealities on vision-based autonomous driving systems. In: IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD. 2017. p. 976–83.
Shi W, Alawieh MB, Li X, Yu H. Algorithm and hardware implementation for visual perception system in autonomous vehicle: A survey. Integration, the VLSI Journal. 2017 Sep 1;59:148–56.
Cai Y, Li X, Han J, Zeng X. A configurable nonlinear operation unit for neural network accelerator. In: Proceedings of International Conference on ASIC. 2017. p. 319–22.
Li X, Cai Y, Han J, Zeng X. A high utilization FPGA-based accelerator for variable-scale convolutional neural network. In: Proceedings of International Conference on ASIC. 2017. p. 944–7.
Li X, Liu J, Chen S, Zhang S, Deng B, Xiao T, et al. Process optimization of inductively coupled plasma etching for large aspect ratio silicon nanopillars. Qiangjiguang Yu Lizishu/High Power Laser and Particle Beams. 2017 Jul 1;29(7).
Nguyen C, Li X, Blanton RDS. Partial Co-training for virtual metrology. In: IEEE International Conference on Emerging Technologies and Factory Automation, ETFA. 2017. p. 1–8.
Alawieh M, Wang F, Li X. Efficient Hierarchical Performance Modeling for Integrated Circuits via Bayesian Co-Learning. In: Proceedings - Design Automation Conference. 2017.
Tao J, Yu H, Zhou D, Su Y, Zeng X, Li X. Correlated Rare Failure Analysis via Asymptotic Probability Evaluation. In: Proceedings - Design Automation Conference. 2017.
Saragadam V, Wang J, Li X, Sankaranarayanan AC. Compressive spectral anomaly detection. In: 2017 IEEE International Conference on Computational Photography, ICCP 2017 - Proceedings. 2017.
Albalawi H, Li Y, Li X. Training fixed-point classifiers for on-chip low-power implementation. ACM Transactions on Design Automation of Electronic Systems. 2017 Jun 1;22(4).
Zeng W, Zhu H, Zeng X, Zhou D, Liu R, Li X. C-YES: An Efficient Parametric Yield Estimation Approach for Analog and Mixed-Signal Circuits Based on Multicorner-Multiperformance Correlations. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 2017 Jun 1;36(6):899–912.
Mohanty SP, Li X, Li H, Cao Y. Guest Editorial Special Issue on Nanoelectronic Devices and Circuits for Next Generation Sensing and Information Processing. IEEE Transactions on Nanotechnology. 2017 May 1;16(3):383–6.
Li X, Shawn Blanton RD, Grover P, Thomas DE. Ultra-low-power biomedical circuit design and optimization: Catching the don't cares. In: Emerging Technology and Architecture for Big-data Analytics. 2017. p. 159–73.
Wang Y, Li X, Xu K, Ren F, Yu H. Data-Driven Sampling Matrix Boolean Optimization for Energy-Efficient Biomedical Signal Acquisition by Compressive Sensing. IEEE transactions on biomedical circuits and systems. 2017 Apr;11(2):255–66.
Shi W, Li X, Yu Z, Overett G. An FPGA-Based Hardware Accelerator for Traffic Sign Detection. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 2017 Apr 1;25(4):1362–72.
Liu X, Sun S, Li X, Qian H, Zhou P. Machine Learning for Noise Sensor Placement and Full-Chip Voltage Emergency Detection. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 2017 Mar 1;36(3):421–34.
Wang M, Yan C, Li X, Zhou D, Zeng X. High-Dimensional and Multiple-Failure-Region Importance Sampling for SRAM Yield Analysis. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 2017 Mar 1;25(3):806–19.
Blanton RDS, Wang F, Xue C, Nag PK, Xue Y, Li X. DFM evaluation using IC diagnosis data. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 2017 Mar 1;36(3):463–74.
Cao Y, Li X, Kim T, Gupta S. Guest editors' introduction: Hardware and algorithms for on-chip learning. ACM Journal on Emerging Technologies in Computing Systems. 2017 Feb 1;13(3).
Zhang K, Wu Q, Li X. Relay participated-new-type building energy management system: An energy-efficient routing scheme for wireless sensor network-based building energy management systems. International Journal of Distributed Sensor Networks. 2017 Jan 1;13(1).
Baker K, Hug G, Li X. Energy Storage Sizing Taking Into Account Forecast Uncertainties and Receding Horizon Operation. IEEE Transactions on Sustainable Energy. 2017 Jan 1;8(1):331–40.
Li X, Hu S, Zhu Q. Guest editorial: Special issue on smart homes, buildings and infrastructures. ACM Transactions on Cyber-Physical Systems. 2017 Jan 1;1(4).
Pan J, Li M, Song Z, Li X, Liu X, Yi H, et al. An audio based piano performance evaluation method using deep neural network based acoustic modeling. In: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. 2017. p. 3088–92.
Pandey A, Jereminov M, Li X, Hug G, Pileggi L. Aggregated load and generation equivalent circuit models with semi-empirical data fitting. In: 2016 IEEE Green Energy and Systems Conference, IGSEC 2016. 2016.
Pandey A, Jereminov M, Li X, Hug G, Pileggi L. Unified power system analyses and models using equivalent circuit formulation. In: 2016 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2016. 2016.
Liao C, Tao J, Yu H, Tang Z, Su Y, Zhou D, et al. Efficient Hybrid Performance Modeling for Analog Circuits Using Hierarchical Shrinkage Priors. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 2016 Dec 1;35(12):2148–52.
Yu H, Tao J, Liao C, Su Y, Zhou D, Zeng X, et al. Efficient statistical analysis for correlated rare failure events via asymptotic probability approximation. In: IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD. 2016.
Shi W, Alawieh MB, Li X, Yu H, Arechiga N, Tomatsu N. Efficient statistical validation of machine learning systems for autonomous driving. In: IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD. 2016.
Li X, Kashyap C, Myers CJ. Guest Editors' Introduction Challenges and Opportunities in Analog/Mixed-Signal CAD. IEEE Design and Test. 2016 Oct 1;33(5):5–6.
Chen X, Li X, Tan SXD. Overview of cyber-physical temperature estimation in smart buildings: From modeling to measurements. In: Proceedings - IEEE INFOCOM. 2016. p. 251–6.
Li HH, Li X. Message from the general chairs. In: Proceedings of IEEE Computer Society Annual Symposium on VLSI, ISVLSI. 2016. p. xvii.
Ghosh S, Iyengar A, Motaman S, Govindaraj R, Jang JW, Chung J, et al. Overview of Circuits, Systems, and Applications of Spintronics. IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 2016 Sep 1;6(3):265–8.
Ghosh S, Joshi RV, Somasekhar D, Li X. Guest Editorial Emerging Memories - Technology, Architecture and Applications (Second Issue). IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 2016 Sep 1;6(3):261–4.
Chen X, Wang L, Li B, Wang Y, Li X, Liu Y, et al. Modeling Random Telegraph Noise as a Randomness Source and its Application in True Random Number Generation. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 2016 Sep 1;35(9):1435–48.
Saragadam V, Sankaranarayanan AC, Li X. Cross-scale predictive dictionaries for image and video restoration. In: Proceedings - International Conference on Image Processing, ICIP. 2016. p. 709–13.
Wang F, Cachecho P, Zhang W, Sun S, Li X, Kanj R, et al. Bayesian model fusion: Large-scale performance modeling of analog and mixed-signal circuits by reusing early-stage data. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 2016 Aug 1;35(8):1255–68.
Alawieh MB, Wang F, Li X. Identifying systematic spatial failure patterns through wafer clustering. In: Proceedings - IEEE International Symposium on Circuits and Systems. 2016. p. 910–3.
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Alawieh MB, Wang F, Kanj R, Li X, Joshi R. Efficient analog circuit optimization using sparse regression and error margining. In: Proceedings - International Symposium on Quality Electronic Design, ISQED. 2016. p. 410–5.
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Tao J, Liao C, Zeng X, Li X. Harvesting Design Knowledge From the Internet: High-Dimensional Performance Tradeoff Modeling for Large-Scale Analog Circuits. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 2016 Jan 1;35(1):23–36.
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Huang S, Han J, Li X, Yang Z, Zeng X. A low-cost and energy-efficient EEG processor for continuous seizure detection using wavelet transform and AdaBoost. In: Proceedings - 2016 IEEE Biomedical Circuits and Systems Conference, BioCAS 2016. 2016. p. 344–7.
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Huang Q, Fang C, Yang F, Zeng X, Li X. Efficient multivariate moment estimation via Bayesian model fusion for analog and mixed-signal circuits. In: Proceedings - Design Automation Conference. 2015.
Jeong H, Won M, Shi W, Weldon JA, Li X, Wang K. Feasibility study of a dual-gate photosensitive thin-film transistor for fingerprint sensor integrated active-matrix display. In: Digest of Technical Papers - SID International Symposium. 2015. p. 1131–4.
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Li X, Blanton RDS, Grover P, Thomas DE. Ultra-low-power biomedical circuit design and optimization: Catching the don't cares. In: Proceedings of the 14th International Symposium on Integrated Circuits, ISIC 2014. 2015. p. 115–8.
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Minho Won, Albalawi H, Xin Li, Thomas DE. Low-power hardware implementation of movement decoding for brain computer interface with reduced-resolution discrete cosine transform. In: Annual International Conference of the IEEE Engineering in Medicine and Biology Society IEEE Engineering in Medicine and Biology Society Annual International Conference. 2014. p. 1626–9.
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Li M, Li X. Verification based ECG biometrics with cardiac irregular conditions using heartbeat level and segment level information fusion. In: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2014. p. 3769–73.
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Gu C, Zaheer M, Li X. Multiple-population moment estimation: Exploiting interpopulation correlation for efficient moment estimation in analog/mixed-signal validation. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 2014 Jan 1;33(7):961–74.
Li X, Wang F, Sun S, Gu C. Bayesian Model Fusion: A statistical framework for efficient pre-silicon validation and post-silicon tuning of complex analog and mixed-signal circuits. In: IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD. 2013. p. 795–802.
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Baker K, Zhu D, Hug G, Li X. Jacobian singularities in optimal power flow problems caused by intertemporal constraints. In: 45th North American Power Symposium, NAPS 2013. 2013.
Xue Y, Poku O, Li X, Blanton RD. PADRE: Physically-aware diagnostic resolution enhancement. In: Proceedings - International Test Conference. 2013.
Zhang Y, Li Y, Li X, Yao SC. Strip-and-zone micro-channel liquid cooling of integrated circuits chips with non-uniform power distributions. In: ASME 2013 Heat Transfer Summer Conf Collocated with the ASME 2013 7th Int Conf on Energy Sustainability and the ASME 2013 11th Int Conf on Fuel Cell Science, Engineering and Technology, HT 2013. 2013.
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Sun S, Li X, Gu C. Structure-aware high-dimensional performance modeling for analog and mixed-signal circuits. In: Proceedings of the Custom Integrated Circuits Conference. 2013.
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Althoff M, Rajhans A, Krogh BH, Yaldiz S, Li X, Pileggi L. Formal verification of phase-locked loops using reachability analysis and continuization. Communications of the ACM. 2013 Oct 22;56(10):97–104.
Krieger D, McNeil M, Zhang J, Schneider W, Li X, Okonkwo DO. Referee consensus: A platform technology for nonlinear optimization. In: ACM International Conference Proceeding Series. 2013.
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Zhang W, Li X, Saxena S, Strojwas A, Rutenbar R. Automatic clustering of wafer spatial signatures. In: Proceedings - Design Automation Conference. 2013.
Gu C, Chiprout E, Li X. Efficient moment estimation with extremely small sample size via bayesian inference for analog/mixed-signal validation. In: Proceedings - Design Automation Conference. 2013.
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Baker K, Hug G, Li X. Optimal integration of intermittent energy sources using distributed multi-step optimization. In: IEEE Power and Energy Society General Meeting. 2012.
Baker K, Hug G, Li X. Inclusion of inter-temporal constraints into a distributed Newton-Raphson method. In: 2012 North American Power Symposium, NAPS 2012. 2012.
Kim Y, Kim J, Kong JJ, Vijaya Kumar BVK, Li X. Verify level control criteria for multi-level cell flash memories and their applications Coding and Signal Processing for Non-Volatile Memories. Eurasip Journal on Advances in Signal Processing. 2012 Dec 1;2012(1).
Sun S, Feng Y, Dong C, Li X. Efficient SRAM failure rate prediction via Gibbs sampling. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 2012 Nov 26;31(12):1831–44.
Li X, Zhang W, Wang F. Large-scale statistical performance modeling of analog and mixed-signal circuits. In: Proceedings of the Custom Integrated Circuits Conference. 2012.
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Zhang W, Balakrishnan K, Li X, Boning D, Acar E, Liu F, et al. Spatial variation decomposition via sparse regression. In: ICICDT 2012 - IEEE International Conference on Integrated Circuit Design and Technology. 2012.
Zhou H, Li X, Cher CY, Kursun E, Qian H, Yao SC. An information-theoretic framework for optimal temperature sensor allocation and full-chip thermal monitoring. In: Proceedings - Design Automation Conference. 2012. p. 642–7.
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Juan DC, Zhou H, Marculescu D, Li X. A learning-based autoregressive model for fast transient thermal analysis of chip-multiprocessors. In: Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC. 2012. p. 597–602.
Li X, Zhang W, Wang F, Sun S, Gu C. Efficient parametric yield estimation of analog/mixed-signal circuits via Bayesian model fusion. In: IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD. 2012. p. 627–34.
Li X. Post-silicon performance modeling and tuning of analog/mixed-signal circuits via bayesian model fusion. In: IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD. 2012. p. 551–2.
Zhang W, Li X, Liu F, Acar E, Rutenbar RA, Blanton RD. Virtual probe: A statistical framework for low-cost silicon characterization of nanoscale integrated circuits. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 2011 Dec 1;30(12):1814–27.
Chang HM, Cheng KT, Zhang W, Li X, Butler KM. Test cost reduction through performance prediction using virtual probe. In: Proceedings - International Test Conference. 2011.
Zhang W, Balakrishnan K, Li X, Boning D, Rutenbar R. Toward efficient spatial variation decomposition via sparse regression. In: IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD. 2011. p. 162–9.
Althoff M, Yaldiz S, Rajhans A, Li X, Krogh BH, Pileggi L. Formal verification of phase-locked loops using reachability analysis and continuization. In: IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD. 2011. p. 659–66.
Yaldiz S, Calayir V, Li X, Pileggi L, Natarajan AS, Ferriss MA, et al. Indirect phase noise sensing for self-healing voltage controlled oscillators. In: Proceedings of the Custom Integrated Circuits Conference. 2011.
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Li X. Rethinking memory redundancy: Optimal bit cell repair for maximum-information storage. In: Proceedings - Design Automation Conference. 2011. p. 316–21.
Li X, Fu J, Huang Y, Hong Z. CMOS highly linear direct-conversion transmitter for WCDMA with fine gain accuracy. Journal of Semiconductors. 2011 Aug 1;32(8).
Zhang J, Sudre G, Li X, Wang W, Weber DJ, Bagic A. Clustering linear discriminant analysis for MEG-based brain computer interfaces. IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society. 2011 Jun;19(3):221–31.
Dong C, Li X. Efficient SRAM failure rate prediction via Gibbs sampling. In: Proceedings - Design Automation Conference. 2011. p. 200–5.
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Zhang J, Sudre G, Li X, Wang W, Weber DJ, Bagic A. Task-related MEG source localization via discriminant analysis. Annual International Conference of the IEEE Engineering in Medicine and Biology Society IEEE Engineering in Medicine and Biology Society Annual International Conference. 2011 Jan;2011:2351–4.
Li X, Wu W, Gildenblat G, McAndrew CC, Scholten AJ. Benchmark tests for MOSFET compact models. In: Compact Modeling: Principles, Techniques and Applications. 2010. p. 75–104.
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Li X, Fu J, Huang Y, Hong Z. A 130nm CMOS direct conversion transmitter for WCDMA. In: ICSICT-2010 - 2010 10th IEEE International Conference on Solid-State and Integrated Circuit Technology, Proceedings. 2010. p. 684–6.
Li X. Finding deterministic solution from underdetermined equation: Large-scale performance variability modeling of analog/RF circuits. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 2010 Nov 1;29(11):1661–8.
Zhang W, Li X, Rutenbar RA. Bayesian Virtual Probe: Minimizing variation characterizationcost for nanoscale IC technologies via Bayesian inference. In: Proceedings - Design Automation Conference. 2010. p. 262–7.
Zhang W, Chen TH, Ting MY, Li X. Toward efficient large-scale performance modeling of integrated circuits via multi-mode/multi-corner sparse regression. In: Proceedings - Design Automation Conference. 2010. p. 897–902.
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Guo C, Li X, Taulu S, Wang W, Weber DJ. Real-time robust signal space separation for magnetoencephalography. IEEE transactions on bio-medical engineering. 2010 Aug;57(8):1856–66.
Li X, McAndrew CC, Wu W, Chaudhry S, Victory J, Gildenblat G. Statistical modeling with the PSP MOSFET model. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 2010 Apr 1;29(4):599–609.
McAndrew CC, Li X, Stevanović I, Gildenblat G. Extensions to backward propagation of variance for statistical modeling. IEEE Design and Test of Computers. 2010 Mar 1;27(2):36–43.
Zhang W, Li X, Acar E, Liu F, Rutenbar R. Multi-wafer virtual probe: Minimum-cost variation characterization by exploring wafer-to-wafer correlation. In: IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD. 2010. p. 47–54.
Li X. Maximum-information storage system: Concept, implementation and application. In: IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD. 2010. p. 39–46.
Li X, Rutenbar RR, Blanton RD. Virtual probe: A statistically optimal framework for minimum-cost silicon characterization of nanoscale integrated circuits. In: IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD. 2009. p. 433–40.
Li X. Large-scale analog/RF performance modeling by statistical regression. In: ASICON 2009 - Proceedings 2009 8th IEEE International Conference on ASIC. 2009. p. 646–9.
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Li X. Finding deterministic solution from underdetermined equation: Large-scale performance modeling by least angle regression. In: Proceedings - Design Automation Conference. 2009. p. 364–9.
Hong Z, Chen TH, Ting MY, Li X. Efficient design-specific worst-case corner extraction for integrated circuits. In: Proceedings - Design Automation Conference. 2009. p. 386–9.
Zhou Q, Yao W, Wu W, Li X, Zhu Z, Gildenblat G. Parameter extracttion for the PSP MOSFET model by the combination of genetic and levenberg-marquardt algorithms. In: IEEE International Conference on Microelectronic Test Structures. 2009. p. 137–42.
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Yaldiz S, Arslan U, Li X, Pileggi L. Efficient statistical analysis of read timing failures in sram circuits. In: Proceedings of the 10th International Symposium on Quality Electronic Design, ISQED 2009. 2009. p. 617–21.
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