Xin Li

Journal article IEEE Transactions on Computer Aided Design of Integrated Circuits and Systems · January 1, 2026 Wafer map classification is essential for detecting spatial defect patterns in the integrated circuit manufacturing process, thereby enhancing yield and reducing fabrication costs. However, existing approaches, whether supervised or unsupervised, often suf ... Full text Cite

Robust analog/RF circuit design via Cycle-Consistent Generative Adversarial Networks

Journal article Integration · November 1, 2025 In this paper, we propose a novel method based on Cycle-Consistent Generative Adversarial Networks (Cycle-GAN) to efficiently synthesize robust analog/RF circuits. The key idea is to learn a mathematical mapping between nominal and robust designs by using ... Full text Cite

Battery lifetime prediction considering domain-variate error

Journal article Integration · September 1, 2025 —With the rapid development of rechargeable battery technology, battery lifespan prediction has become a hot topic in current research. Data-driven models, due to their superior performance, have been widely applied in the field of battery lifespan predict ... Full text Cite

Transforming waste to value: Enhancing battery lifetime prediction using incomplete data samples

Journal article Journal of Energy Chemistry · July 1, 2025 The widespread usage of rechargeable batteries in portable devices, electric vehicles, and energy storage systems has underscored the importance for accurately predicting their lifetimes. However, data scarcity often limits the accuracy of prediction model ... Full text Cite

Leveraging multi-view imputation strategy for robust battery lifetime prediction under missing-data scenarios

Journal article Energy Storage Materials · June 1, 2025 While lifetime prediction of rechargeable batteries is crucial for ensuring the reliability and sustainability of electric devices, the accuracy and robustness of prediction models are often impacted by practical non-idealities in operational scenarios. In ... Full text Cite

Dimensional-noise-aware battery lifetime prediction via an EM-TLS framework

Journal article Progress in Natural Science Materials International · February 1, 2025 Machine learning has been massively utilized to construct data-driven solutions for predicting the lifetime of rechargeable batteries in recent years, which project the physical measurements obtained during the early charging/discharging cycles to the rema ... Full text Cite

Efficient Design Optimization for Diffractive Deep Neural Networks

Journal article IEEE Transactions on Computer Aided Design of Integrated Circuits and Systems · January 1, 2025 Since diffractive deep neural network (D2NN) provides a full optical solution to implement deep neural networks (DNNs), it offers ultrafast operation speed and virtually unlimited bandwidth, yielding an alternative-yet-competitive approach for computer-bas ... Full text Cite

A New Literature Review of 3D Object Detection on Autonomous Driving

Journal article Journal of Artificial Intelligence Research · January 1, 2025 In recent years, the realm of computer vision has experienced a significant surge in the importance of 3D object detection, especially in the context of autonomous driving. The capability to precisely identify the locations, dimensions, and types of key 3D ... Full text Cite

Efficient Weight Pruning for Optical Neural Networks: When Pruned Weights are Non-Zeros

Journal article IEEE Transactions on Emerging Topics in Computational Intelligence · January 1, 2025 Optical neural networks (ONNs) have emerged as a promising solution for energy-efficient deep learning. However, their resource-intensive manufacturing process necessitates efficient methods to streamline ONN architectures without sacrificing their perform ... Full text Cite

An integrated framework for accurate trajectory prediction based on deep learning

Journal article Applied Intelligence · October 1, 2024 Trajectory prediction for moving objects is a critical task for intelligent transportation with numerous applications, such as route planning, traffic management, congestion alleviation, etc. In this paper, we propose a novel framework that integrates sequ ... Full text Cite

Back to the Past: A Systematic Review of Immersive Narrative in Cultural Heritage Conservation

Journal article Proceedings of the Association for Information Science and Technology · October 1, 2024 Immersive narrative creates a vivid experiential environment that allows users to be participants rather than mere observers, holding immense potential in the field of cultural heritage. However, current research primarily focuses on technological applicat ... Full text Cite

Status, challenges, and promises of data-driven battery lifetime prediction under cyber-physical system context

Journal article Iet Cyber Physical Systems Theory and Applications · September 1, 2024 Energy storage is playing an increasingly important role in the modern world as sustainability is becoming a critical issue. Within this domain, rechargeable battery is gaining significant popularity as it has been adopted to serve as the power supplier in ... Full text Cite

Cross-domain document layout analysis using document style guide

Journal article Expert Systems with Applications · July 1, 2024 Document layout analysis (DLA) is a crucial computer vision task that involves partitioning document images into high-level semantic regions such as figures, tables, backgrounds, and texts. Deep learning models for DLA typically require a large amount of l ... Full text Cite

Semi-supervised learning for explainable few-shot battery lifetime prediction

Journal article Joule · June 19, 2024 Accurate prediction of battery lifetime is critical for ensuring timely maintenance and safety of batteries. Although data-driven methods have made significant progress, their model accuracy is often hampered by a scarcity of labeled data. To address this ... Full text Cite

Root-Cause Analysis with Semi-Supervised Co-Training for Integrated Systems

Journal article ACM Transactions on Design Automation of Electronic Systems · May 3, 2024 Root-cause analysis for integrated systems has become increasingly challenging due to their growing complexity. To tackle these challenges, machine learning (ML) has been applied to enhance root-cause analysis. Nonetheless, ML-based root-cause analysis usu ... Full text Cite

Robust battery lifetime prediction with noisy measurements via total-least-squares regression

Journal article Integration · May 1, 2024 —Machine learning technologies have gained significant popularity in rechargeable battery research in recent years, and have been extensively adopted to construct data-driven solutions to tackle multiple challenges for energy storage in embedded computing ... Full text Cite

Potential to transform words to watts with large language models in battery research

Journal article Cell Reports Physical Science · March 20, 2024 Conventional battery research often grapples with the challenge of accumulating scattered knowledge and information across countless academic resources, including papers, lectures, conferences, and more. This dispersed wealth of information spans a variety ... Full text Cite

Robust depth completion based on Semantic Aggregation

Journal article Applied Intelligence · March 1, 2024 Abstract: Guided by information from RGB images, depth completion methods rebuild the dense depth from sparse depth input. However, the varying densities of valid pixels in sparse depth maps pose a significant challenge to the robustness of the completion ... Full text Cite

Robust Sparse Recovery Based Vehicles Location Estimation in Intelligent Transportation System

Journal article IEEE Transactions on Intelligent Transportation Systems · January 1, 2024 An architecture for vehicle position estimation is introduced in this paper to tackle the issue of vehicles positioning in traffic congestion of intelligent transportation system (ITS). The introduced architecture is related to three unmanned aerial vehicl ... Full text Cite

Communication-Efficient Federated Learning for Decision Trees

Journal article IEEE Transactions on Artificial Intelligence · January 1, 2024 The increasing concerns about data privacy and security have driven the emergence of federated learning, which preserves privacy by collaborative learning across multiple clients without sharing their raw data. In this article, we propose a communication-e ... Full text Cite

Robust Wafer Classification with Imperfectly Labeled Data Based on Self-Boosting Co-Teaching

Journal article IEEE Transactions on Computer Aided Design of Integrated Circuits and Systems · July 1, 2023 Wafer classification is a critical task for semiconductor manufacturing. Most conventional algorithms require a large-scale perfectly labeled dataset to train accurate classifiers. In practice, it is usually difficult or even impossible to collect perfect ... Full text Cite

Efficient Statistical Parameter Extraction for Modeling MOSFET Mismatch

Journal article IEEE Transactions on Computer Aided Design of Integrated Circuits and Systems · May 1, 2023 In this article, we propose an efficient statistical parameter extraction method to accurately model the random device mismatch of MOSFETs. The key idea is to approximate the performance variations as mathematical functions of device mismatch. Based on the ... Full text Cite

Data-Driven Parameterized Corner Synthesis for Efficient Validation of Perception Systems for Autonomous Driving

Journal article ACM Transactions on Cyber Physical Systems · April 19, 2023 Today's automotive cyber-physical systems for autonomous driving aim to enhance driving safety by replacing the uncertainties posed by human drivers with standard procedures of automated systems. However, the accuracy of in-vehicle perception systems may s ... Full text Cite

A Blockchain-Based Certificate System with Credit Self-Adjustment

Journal article Wuhan University Journal of Natural Sciences · April 1, 2023 Currently, digital certificate systems based on blockchain have been extensively developed and adopted. However, most of them do not take into account the certificate quality. To evaluate the credibility of certificates issued by educational institutions, ... Full text Cite

Correlated Bayesian Model Fusion: Efficient High-Dimensional Performance Modeling of Analog/RF Integrated Circuits Over Multiple Corners

Journal article IEEE Transactions on Computer Aided Design of Integrated Circuits and Systems · February 1, 2023 Efficient high-dimensional performance modeling of analog/RF circuits over multiple corners is an important-yet-challenging task. In this article, we propose a novel performance modeling approach for analog/RF circuits, referred to as correlated Bayesian m ... Full text Cite

Unsupervised Two-Stage Root-Cause Analysis With Transfer Learning for Integrated Systems

Journal article IEEE Transactions on Computer Aided Design of Integrated Circuits and Systems · February 1, 2023 The growing complexity of integrated systems makes root-cause analysis increasingly difficult. To address this challenge, advances in machine learning (ML) have been leveraged in recent years to design ML-based techniques for root-cause analysis. However, ... Full text Cite

Correlated Bayesian Co-Training for Virtual Metrology

Journal article IEEE Transactions on Semiconductor Manufacturing · February 1, 2023 A rising challenge in manufacturing data analysis is training robust regression models using limited labeled data. In this work, we investigate a semi-supervised regression scenario, where a manufacturing process operates on multiple mutually correlated st ... Full text Cite

Artificial Intelligence in Smart Logistics Cyber-Physical Systems: State-of-The-Arts and Potential Applications

Journal article IEEE Transactions on Industrial Cyber Physical Systems · January 1, 2023 Logistics creates tremendous economic value through supporting the trading of goods between firms and customers, thereby improving the welfare of the society. In order to continuously improve the quality of logistics service, a great variety of cyber-physi ... Full text Cite

Correlated Rare Failure Analysis via Asymptotic Probability Evaluation

Journal article IEEE Transactions on Computer Aided Design of Integrated Circuits and Systems · April 1, 2022 In this article, a novel asymptotic probability evaluation (APE) method is proposed to estimate the probability of correlated rare failure events for complex integrated systems containing a large number of replicated cells. The key idea is to approximate t ... Full text Cite

Fast Statistical Analysis of Rare Failure Events with Truncated Normal Distribution in High-Dimensional Variation Space

Journal article IEEE Transactions on Computer Aided Design of Integrated Circuits and Systems · March 1, 2022 In this article, to accurately estimate the rare failure rates for large-scale circuits (e.g., SRAM) where process variations are modeled as truncated normal distributions in high-dimensional space, we propose a novel truncated scaled-sigma sampling (T-SSS ... Full text Cite

Knowledge Transfer in Board-Level Functional Fault Diagnosis Enabled by Domain Adaptation

Journal article IEEE Transactions on Computer Aided Design of Integrated Circuits and Systems · March 1, 2022 High integration densities and design complexity make board-level functional fault diagnosis extremely difficult. Machine-learning techniques can identify functional faults with high accuracy, but they require a large volume of data to achieve high-predict ... Full text Cite

Guest Editorial: Cloud-Edge Computing for Cyber-Physical Systems and Internet of Things

Journal article IEEE Transactions on Industrial Informatics · November 1, 2021 Full text Cite

A Survey on Edge and Edge-Cloud Computing Assisted Cyber-Physical Systems

Journal article IEEE Transactions on Industrial Informatics · November 1, 2021 In recent years, the investigations on cyber-physical systems (CPS) have become increasingly popular in both academia and industry. A primary obstruction against the booming deployment of CPS applications lies in how to process and manage large amounts of ... Full text Cite

Board-Level Functional Fault Identification Using Streaming Data

Journal article IEEE Transactions on Computer Aided Design of Integrated Circuits and Systems · September 1, 2021 High integration densities and design complexity of printed-circuit boards make board-level functional fault identification extremely difficult. Machine learning provides an opportunity to identify functional faults with high accuracy and thereby reduce re ... Full text Cite

Facial Expression Recognition with Identity and Emotion Joint Learning

Journal article IEEE Transactions on Affective Computing · April 1, 2021 Different subjects may express a specific expression in different ways due to inter-subject variabilities. In this work, besides training deep-learned facial expression feature (emotional feature), we also consider the influence of latent face identity fea ... Full text Cite

Black-Box Test-Cost Reduction Based on Bayesian Network Models

Journal article IEEE Transactions on Computer Aided Design of Integrated Circuits and Systems · February 1, 2021 The growing complexity of circuit boards makes manufacturing test increasingly expensive. In order to reduce test cost, a number of test selection methods have been proposed in the literature. However, only few of these methods can be applied to black-box ... Full text Cite

Big Data for Cyber-Physical Systems

Journal article IEEE Transactions on Big Data · December 1, 2020 Full text Cite

Efficient Statistical Analysis for Correlated Rare Failure Events via Asymptotic Probability Approximation

Journal article IEEE Transactions on Computer Aided Design of Integrated Circuits and Systems · December 1, 2020 In this article, a novel asymptotic probability approximation (APA) method is proposed to estimate the overall rare probability of correlated failure events for complex circuits containing a large number of replicated cells (e.g., SRAM bit-cells). The key ... Full text Cite

Efficient Rare Failure Analysis over Multiple Corners via Correlated Bayesian Inference

Journal article IEEE Transactions on Computer Aided Design of Integrated Circuits and Systems · October 1, 2020 In this article, we propose an efficient correlated Bayesian inference (CBI) method to estimate the system-level failure rates for large-scale circuit systems over multiple process corners. The key idea is to encode the correlations of circuit performances ... Full text Cite

Partial Bayesian Co-training for Virtual Metrology

Journal article IEEE Transactions on Industrial Informatics · May 1, 2020 Building accurate regression models using limited data is a challenging problem in manufacturing data analysis. In this paper, we study a particular semisupervised learning problem where labeled data are limited, while unlabeled data are plentiful. In thes ... Full text Cite

Guest editors’ introduction: Hardware and algorithms for energy-constrained on-chip machine learning (part 2)

Journal article ACM Journal on Emerging Technologies in Computing Systems · December 1, 2019 Full text Cite

Analog/RF post-silicon tuning via Bayesian optimization

Journal article ACM Transactions on Design Automation of Electronic Systems · December 1, 2019 Tunable analog/RF circuit has emerged as a promising technique to address the significant performance uncertainties caused by process variations. To optimize these tunable circuits after fabrication, most existing post-silicon programming methods are devel ... Full text Cite

Computer vision algorithms and hardware implementations: A survey

Journal article Integration · November 1, 2019 The field of computer vision is experiencing a great-leap-forward development today. This paper aims at providing a comprehensive survey of the recent progress on computer vision algorithms and their corresponding hardware implementations. In particular, t ... Full text Cite

Graph-Constrained Sparse Performance Modeling for Analog Circuit Optimization via SDP Relaxation

Journal article IEEE Transactions on Computer Aided Design of Integrated Circuits and Systems · August 1, 2019 In this paper, a graph-constrained sparse performance modeling method is proposed for analog circuit optimization. It builds sparse polynomial models constrained by an acyclic graph. These models can be used to solve analog optimization problems within loc ... Full text Cite

Guest editors' introduction to the special section on hardware and algorithms for energy-constrained on-chip machine learning

Journal article ACM Journal on Emerging Technologies in Computing Systems · June 1, 2019 Full text Cite

Cross-Scale Predictive Dictionaries.

Journal article IEEE transactions on image processing : a publication of the IEEE Signal Processing Society · February 2019 Sparse representations using data dictionaries provide an efficient model particularly for signals that do not enjoy alternate analytic sparsifying transformations. However, solving inverse problems with sparsifying dictionaries can be computationally expe ... Full text Cite

Efficient hierarchical performance modeling for analog and mixed-signal circuits via Bayesian co-learning

Journal article IEEE Transactions on Computer Aided Design of Integrated Circuits and Systems · December 1, 2018 With the continuous drive toward integrated circuits scaling, efficient performance modeling is becoming more crucial yet more challenging. In this paper, we propose a novel method of hierarchical performance modeling based on Bayesian co-learning. We expl ... Full text Cite

Environment-Adaptable Fast Multi-Resolution (EAF-MR) optimization in large-scale RF-FPGA systems

Journal article Eurasip Journal on Wireless Communications and Networking · December 1, 2018 Software-defined radio (SDR) can have high communication quality with a reconfigurable RF front-end. One of the main challenges of a reconfigurable RF front-end is finding an optimal configuration among all possible configurations. In order to efficiently ... Full text Cite

Design Automation for Cyber-Physical Systems [Scanning the Issue]

Journal article Proceedings of the IEEE · September 1, 2018 Cyber-physical systems (CPSs) are characterized by the seamless integration and close interaction of cyber components (e.g., sensors, computation nodes, communication networks) and physical processes (e.g., mechanical devices, physical environment, humans) ... Full text Cite

Dependable visual light-based indoor localization with automatic anomaly detection for location-based service of mobile cyber-physical systems

Journal article ACM Transactions on Cyber Physical Systems · August 1, 2018 Indoor localization has become popular in recent years due to the increasing need of location-based services in mobile cyber-physical systems (CPS). The massive deployment of light emitting diodes (LEDs) further promotes the indoor localization using visua ... Full text Cite

Guest editors' introduction: Frontiers of hardware and algorithms for on-chip learning

Journal article ACM Journal on Emerging Technologies in Computing Systems · July 1, 2018 Full text Cite

Improving Diagnostic Resolution of Failing ICs Through Learning

Journal article IEEE Transactions on Computer Aided Design of Integrated Circuits and Systems · June 1, 2018 Diagnosis is the first analysis step for uncovering the root cause of failure for a defective integrated logic circuit. The conventional objective of identifying failure locations has been augmented with various physically-aware diagnosis techniques that a ... Full text Cite

Identifying wafer-level systematic failure patterns via unsupervised learning

Journal article IEEE Transactions on Computer Aided Design of Integrated Circuits and Systems · April 1, 2018 In this paper, we propose a novel methodology for detecting systematic failure patterns at the wafer level for yield learning. Our proposed methodology takes the binary testing results (i.e., pass or fail) of all dies over multiple wafers, cluster these wa ... Full text Cite

Algorithm and hardware implementation for visual perception system in autonomous vehicle: A survey

Journal article Integration the VLSI Journal · September 1, 2017 This paper briefly surveys the recent progress on visual perception algorithms and their corresponding hardware implementations for the emerging application of autonomous driving. In particular, vehicle and pedestrian detection, lane detection and drivable ... Full text Cite

Process optimization of inductively coupled plasma etching for large aspect ratio silicon nanopillars

Journal article Qiangjiguang Yu Lizishu High Power Laser and Particle Beams · July 1, 2017 Deep Reactive Ion Etching (DRIE) process on Si to achieve nanopillar arrays with large aspect ratio by using hydrogen silsesquioxane (HSQ) as etching masks has been systematically studied. Parameters in etching process such as coil power, platen power and ... Full text Cite

C-YES: An Efficient Parametric Yield Estimation Approach for Analog and Mixed-Signal Circuits Based on Multicorner-Multiperformance Correlations

Journal article IEEE Transactions on Computer Aided Design of Integrated Circuits and Systems · June 1, 2017 Parametric yield estimation is a critical task for design and validation of analog and mixed-signal (AMS) circuits. However, the computational cost for yield estimation based on Monte Carlo (MC) analysis is often prohibitively high, especially when multipl ... Full text Cite

Training fixed-point classifiers for on-chip low-power implementation

Journal article ACM Transactions on Design Automation of Electronic Systems · June 1, 2017 In this article, we develop several novel algorithms to train classifiers that can be implemented on chip with low-power fixed-point arithmetic with extremely small word length. These algorithms are based on Linear Discriminant Analysis (LDA), Support Vect ... Full text Cite

Guest Editorial Special Issue on Nanoelectronic Devices and Circuits for Next Generation Sensing and Information Processing

Journal article IEEE Transactions on Nanotechnology · May 1, 2017 Full text Cite

Data-Driven Sampling Matrix Boolean Optimization for Energy-Efficient Biomedical Signal Acquisition by Compressive Sensing.

Journal article IEEE transactions on biomedical circuits and systems · April 2017 Compressive sensing is widely used in biomedical applications, and the sampling matrix plays a critical role on both quality and power consumption of signal acquisition. It projects a high-dimensional vector of data into a low-dimensional subspace by matri ... Full text Cite

An FPGA-Based Hardware Accelerator for Traffic Sign Detection

Journal article IEEE Transactions on Very Large Scale Integration VLSI Systems · April 1, 2017 Traffic sign detection plays an important role in a number of practical applications, such as intelligent driver assistance and roadway inventory management. In order to process the large amount of data from either real-time videos or large off-line databa ... Full text Cite

High-Dimensional and Multiple-Failure-Region Importance Sampling for SRAM Yield Analysis

Journal article IEEE Transactions on Very Large Scale Integration VLSI Systems · March 1, 2017 The failure rate of static RAM (SRAM) cells is restricted to be extremely low to ensure sufficient high yield for the entire chip. In addition, multiple performances of interest and influences from peripherals make SRAM failure rate estimation a high-dimen ... Full text Cite

Machine Learning for Noise Sensor Placement and Full-Chip Voltage Emergency Detection

Journal article IEEE Transactions on Computer Aided Design of Integrated Circuits and Systems · March 1, 2017 Power supply fluctuation can be potential threat to the correct operations of processors, in the form of voltage emergency that happens when supply voltage drops below a certain threshold. Noise sensors (with either analog or digital outputs) can be placed ... Full text Cite

DFM evaluation using IC diagnosis data

Journal article IEEE Transactions on Computer Aided Design of Integrated Circuits and Systems · March 1, 2017 Design for manufacturability rule evaluation using manufactured silicon (DREAMS) is a comprehensive methodology for evaluating the yield-preserving capabilities of a set of design for manufacturability (DFM) rules using the results of logic diagnosis perfo ... Full text Cite

Guest editors' introduction: Hardware and algorithms for on-chip learning

Journal article ACM Journal on Emerging Technologies in Computing Systems · February 1, 2017 Full text Cite

Relay participated-new-type building energy management system: An energy-efficient routing scheme for wireless sensor network-based building energy management systems

Journal article International Journal of Distributed Sensor Networks · January 1, 2017 With the development of wireless sensor networks, many building energy management systems are getting to adopt wireless sensor network as their communication infrastructure. However, the existing wireless sensor network protocols cannot satisfy the energy- ... Full text Cite

Energy Storage Sizing Taking Into Account Forecast Uncertainties and Receding Horizon Operation

Journal article IEEE Transactions on Sustainable Energy · January 1, 2017 Energy storage systems (ESS) have the potential to be very beneficial for applications such as reducing the ramping of generators, peak shaving, and balancing not only the variability introduced by renewable energy sources, but also the uncertainty introdu ... Full text Cite

Guest editorial: Special issue on smart homes, buildings and infrastructures

Journal article ACM Transactions on Cyber Physical Systems · January 1, 2017 Full text Cite

Efficient Hybrid Performance Modeling for Analog Circuits Using Hierarchical Shrinkage Priors

Journal article IEEE Transactions on Computer Aided Design of Integrated Circuits and Systems · December 1, 2016 Efficient performance modeling is an extremely important task for yield analysis and design optimization of analog circuits. In this paper, a novel regression modeling method based on hierarchical shrinkage priors is proposed to construct hybrid performanc ... Full text Cite

Guest Editors' Introduction Challenges and Opportunities in Analog/Mixed-Signal CAD

Journal article IEEE Design and Test · October 1, 2016 Full text Cite

Overview of Circuits, Systems, and Applications of Spintronics

Journal article IEEE Journal on Emerging and Selected Topics in Circuits and Systems · September 1, 2016 Spintronic technologies have demonstrated significant promise due to multitude of features that can find applications in storage, cache, non-volatile combinational logic, sequential logic, search engines, security primitives, and, neuro-inspired computing ... Full text Cite

Guest Editorial Emerging Memories - Technology, Architecture and Applications (Second Issue)

Journal article IEEE Journal on Emerging and Selected Topics in Circuits and Systems · September 1, 2016 Full text Cite

Modeling Random Telegraph Noise as a Randomness Source and its Application in True Random Number Generation

Journal article IEEE Transactions on Computer Aided Design of Integrated Circuits and Systems · September 1, 2016 The random telegraph noise (RTN) is becoming more serious in advanced technologies. Due to the unpredictability of the physical phenomenon, RTN is a good randomness source for true random number generators (TRNG). In this paper, we build fundamental random ... Full text Cite

Bayesian model fusion: Large-scale performance modeling of analog and mixed-signal circuits by reusing early-stage data

Journal article IEEE Transactions on Computer Aided Design of Integrated Circuits and Systems · August 1, 2016 Efficient performance modeling of today's analog and mixed-signal circuits is an important yet challenging task, due to the high-dimensional variation space and expensive circuit simulation. In this paper, we propose a novel performance modeling algorithm ... Full text Cite

Weight-based link scheduling for convergecast in WirelessHART network

Journal article International Journal of Distributed Sensor Networks · July 22, 2016 WirelessHART is considered to be one of the most promising wireless network protocols for its high robustness comparing to other similar wireless networks. Convergecast is an efficient approach for industrial control. But in WirelessHART specifications, no ... Full text Cite

Guest Editorial Emerging Memories - Technology, Architecture and Applications (First Issue)

Journal article IEEE Journal on Emerging and Selected Topics in Circuits and Systems · June 1, 2016 Full text Cite

Efficient Spatial Variation Modeling of Nanoscale Integrated Circuits Via Hidden Markov Tree

Journal article IEEE Transactions on Computer Aided Design of Integrated Circuits and Systems · June 1, 2016 In this paper, we propose a novel spatial variation modeling method based on hidden Markov tree (HMT) for nanoscale integrated circuits, which could efficiently improve the accuracy of full-wafer/chip spatial variations recovery at extremely low measuremen ... Full text Cite

Statistical rare-event analysis and parameter guidance by elite learning sample selection

Journal article ACM Transactions on Design Automation of Electronic Systems · May 27, 2016 Accurately estimating the failure region of rare events for memory-cell and analog circuit blocks under process variations is a challenging task. In this article, we propose a new statistical method, called EliteScope, to estimate the circuit failure rates ... Full text Cite

Energy-constrained distributed learning and classification by exploiting relative relevance of sensors' data

Journal article IEEE Journal on Selected Areas in Communications · May 1, 2016 We consider the problem of communicating data from energy-constrained distributed sensors. To reduce energy requirements, we go beyond the source reconstruction problem classically addressed, and focus on the problem where the recipient wants to perform su ... Full text Cite

Distributed MPC for Efficient Coordination of Storage and Renewable Energy Sources Across Control Areas

Journal article IEEE Transactions on Smart Grid · March 1, 2016 In electric power systems, multiple entities are responsible for ensuring an economic and reliable way of delivering power from producers to consumers. With the increase of variable renewable generation it is becoming increasingly important to take advanta ... Full text Cite

Harvesting Design Knowledge From the Internet: High-Dimensional Performance Tradeoff Modeling for Large-Scale Analog Circuits

Journal article IEEE Transactions on Computer Aided Design of Integrated Circuits and Systems · January 1, 2016 Efficiently optimizing large-scale, complex analog systems requires to know the performance tradeoffs for various analog circuit blocks. In this paper, we propose a radically new approach for analog performance tradeoff modeling. Our key idea is to broadly ... Full text Cite

Decoding Brain States Based on Magnetoencephalography From Prespecified Cortical Regions.

Journal article IEEE transactions on bio-medical engineering · January 2016 Brain state decoding based on whole-head MEG has been extensively studied over the past decade. Recent MEG applications pose an emerging need of decoding brain states based on MEG signals originating from prespecified cortical regions. Toward this goal, we ... Full text Cite

Fast Statistical Analysis of Rare Circuit Failure Events via Scaled-Sigma Sampling for High-Dimensional Variation Space

Journal article IEEE Transactions on Computer Aided Design of Integrated Circuits and Systems · July 1, 2015 Accurately estimating the rare failure rates for nanoscale circuit blocks (e.g., static random-access memory, D flip-flop, etc.) is a challenging task, especially when the variation space is high-dimensional. In this paper, we propose a novel scaled-sigma ... Full text Cite

Efficient transient analysis of power delivery network with clock/power gating by sparse approximation

Journal article IEEE Transactions on Computer Aided Design of Integrated Circuits and Systems · March 1, 2015 Transient analysis of large-scale power delivery network (PDN) is a critical task to ensure the functional correctness and desired performance of today's integrated circuits (ICs), especially if significant transient noises are induced by clock and/or powe ... Full text Cite

A novel analog physical synthesis methodology integrating existent design expertise

Journal article IEEE Transactions on Computer Aided Design of Integrated Circuits and Systems · February 1, 2015 Analog layout design has been a manual, time-consuming, and error-prone task for decades. To speed up layout design time for a new design, analog layout designers prefer referring to legacy designs and layouts rather than starting from scratch, or thorough ... Full text Cite

Adaptive circuit design methodology and test applied to millimeter-wave circuits

Journal article IEEE Design and Test · January 1, 2014 A theoretical framework is proposed that allows the prediction of RF and mm-wave circuit performance with on-chip sensors through the use of indirect sensing with Bayesian model fusion (BMF) instead of through costly and difficult direct integrated measure ... Full text Cite

Indirect performance sensing for on-chip self-healing of analog and RF circuits

Journal article IEEE Transactions on Circuits and Systems I Regular Papers · January 1, 2014 The advent of the nanoscale integrated circuit (IC) technology makes high performance analog and RF circuits increasingly susceptible to large-scale process variations. On-chip self-healing has been proposed as a promising remedy to address the variability ... Full text Cite

Multiple-population moment estimation: Exploiting interpopulation correlation for efficient moment estimation in analog/mixed-signal validation

Journal article IEEE Transactions on Computer Aided Design of Integrated Circuits and Systems · January 1, 2014 Moment estimation is an important problem during circuit validation, in both presilicon and postsilicon stages. From the estimated moments, the probability of failure and parametric yield can be estimated at each circuit configuration and corner, and these ... Full text Cite

Formal verification of phase-locked loops using reachability analysis and continuization

Journal article Communications of the ACM · October 22, 2013 We present a scalable and formal technique to verify locking time and stability for charge-pump phase-locked loops (PLLs). In contrast to the traditional simulation approach that only validates the PLL at a given operation condition, our proposed technique ... Full text Cite

Efficient spatial pattern analysis for variation decomposition via robust sparse regression

Journal article IEEE Transactions on Computer Aided Design of Integrated Circuits and Systems · July 15, 2013 In this paper, we propose a new technique to achieve accurate decomposition of process variation by efficiently performing spatial pattern analysis. We demonstrate that the spatially correlated systematic variation can be accurately represented by the line ... Full text Cite

Erratum: A linearized, low phase noise VCO based 25 GHz PLL with autonomic biasing (IEEE Journal of Solid-State Circuits (2013) 48:5 (1138-1150))

Journal article IEEE Journal of Solid State Circuits · June 5, 2013 Full text Cite

A linearized, low-phase-noise VCO-based 25-GHz PLL with autonomic biasing

Journal article IEEE Journal of Solid State Circuits · May 1, 2013 This paper describes a new approach to low-phase-noise LC VCO design based on transconductance linearization of the active devices. A prototype 25 GHz VCO based on this linearization approach is integrated in a dual-path PLL and achieves superior performan ... Full text Cite

A high-linearity WCDMA/GSM reconfigurable transceiver in 0.13-μm CMOS

Journal article IEEE Transactions on Microwave Theory and Techniques · January 1, 2013 This paper presents a dual-mode multiband transceiver with DigRF interface implemented in a 0.13-μm CMOS technology. Based on direct conversion architecture, blocks in the transceiver can be configured to simultaneously support wavelength code-division mul ... Full text Cite

Verify level control criteria for multi-level cell flash memories and their applications Coding and Signal Processing for Non-Volatile Memories

Journal article Eurasip Journal on Advances in Signal Processing · December 1, 2012 In 1 M-bit/cell multi-level cell (MLC) flash memories, it is more difficult to guarantee the reliability of data as M increases. The reason is that an M-bit/cell MLC has 2 M states whereas a single-level cell (SLC) has only two states ... Full text Cite

Efficient SRAM failure rate prediction via Gibbs sampling

Journal article IEEE Transactions on Computer Aided Design of Integrated Circuits and Systems · November 26, 2012 Statistical analysis of SRAM has emerged as a challenging issue because the failure rate of SRAM cells is extremely small. In this paper, we develop an efficient importance sampling algorithm to capture the rare failure event of SRAM cells. In particular, ... Full text Cite

Virtual probe: A statistical framework for low-cost silicon characterization of nanoscale integrated circuits

Journal article IEEE Transactions on Computer Aided Design of Integrated Circuits and Systems · December 1, 2011 In this paper, we propose a new technique, referred to as virtual probe (VP), to efficiently measure, characterize, and monitor spatially-correlated inter-die and/or intra-die variations in nanoscale manufacturing process. VP exploits recent breakthroughs ... Full text Cite

CMOS highly linear direct-conversion transmitter for WCDMA with fine gain accuracy

Journal article Journal of Semiconductors · August 1, 2011 A highly linear, high output power, 0.13 μm CMOS direct conversion transmitter for wideband code division multiple access (WCDMA) is described. The transmitter delivers 6.8 dBm output power with 38 mA current consumption. With careful design on the resisto ... Full text Cite

Clustering linear discriminant analysis for MEG-based brain computer interfaces.

Journal article IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · June 2011 In this paper, we propose a clustering linear discriminant analysis algorithm (CLDA) to accurately decode hand movement directions from a small number of training trials for magnetoencephalography-based brain computer interfaces (BCIs). CLDA first applies ... Full text Cite

Task-related MEG source localization via discriminant analysis.

Journal article Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · January 2011 To investigate the neural activity corresponding to different cognitive states, it is of great importance to localize the cortical areas that are associated with task-related modulation. In this paper, we propose a novel discriminant pattern source localiz ... Full text Cite

Finding deterministic solution from underdetermined equation: Large-scale performance variability modeling of analog/RF circuits

Journal article IEEE Transactions on Computer Aided Design of Integrated Circuits and Systems · November 1, 2010 The aggressive scaling of integrated circuit technology results in high-dimensional, strongly-nonlinear performance variability that cannot be efficiently captured by traditional modeling techniques. In this paper, we adapt a novel L0-norm regul ... Full text Cite

Real-time robust signal space separation for magnetoencephalography.

Journal article IEEE transactions on bio-medical engineering · August 2010 In this paper, we develop a robust signal space separation (rSSS) algorithm for real-time magnetoencephalography (MEG) data processing. rSSS is based on the spatial signal space separation (SSS) method and it applies robust regression to automatically dete ... Full text Cite

Statistical modeling of inter-device correlations with BPV

Journal article Solid State Electronics · August 1, 2010 The backward propagation of variance (BPV) technique for statistical modeling has proven to be efficient and effective in practice. In this paper we extend the BPV formalism to explicitly include modeling of the correlations between electrical performances ... Full text Cite

Statistical modeling with the PSP MOSFET model

Journal article IEEE Transactions on Computer Aided Design of Integrated Circuits and Systems · April 1, 2010 PSP and the backward propagation of variance (BPV) method are used to characterize the statistical variations of metal-oxide-semiconductor field effect transistors (MOSFETs). BPV statistical modeling of NMOS and PMOS devices is, for the first time, coupled ... Full text Cite

Extensions to backward propagation of variance for statistical modeling

Journal article IEEE Design and Test of Computers · March 1, 2010 Editor's note: Correlating the statistics of process parameters with the statistics of electrical performance is a vital task in statistical modeling. This article describes a more general form of the backward propagation of variance (BPV) method, a numeri ... Full text Cite

Regular analog/RF integrated circuits design using optimization with recourse including ellipsoidal uncertainty

Journal article IEEE Transactions on Computer Aided Design of Integrated Circuits and Systems · May 1, 2009 Long design cycles due to the inability to predict silicon realities are a well-known problem that plagues analog/RF integrated circuit product development. As this problem worsens for nanoscale IC technologies, the high cost of design and multiple manufac ... Full text Cite

Benchmark tests for MOSFET compact models with application to the PSP model

Journal article IEEE Transactions on Electron Devices · January 23, 2009 This paper presents the results of several qualitative "benchmark" tests that were used to verify the physical behavior of the PSP model and its usefulness for future generations of CMOS IC design. These include newly developed tests and new experimental d ... Full text Cite

Regular analog/RF integrated circuits design using optimization with recourse including ellipsoidal uncertainty

Journal article IEEE Transactions on Computer Aided Design of Integrated Circuits and Systems · January 1, 2009 Long design cycles due to the inability to predict silicon realities are a well-known problem that plagues analog/RF integrated circuit product development. As this problem worsens for nanoscale IC technologies, the high cost of design and multiple manufac ... Cite

PSP-SOI: An advanced surface potential based compact model of partially depleted SOI MOSFETs for circuit simulations

Journal article Solid State Electronics · January 1, 2009 This paper reports recent progress in partially depleted (PD) SOI MOSFET modeling using a surface potential based approach. The new model is formulated within the framework of the latest industry standard bulk MOSFET model PSP. In addition to its physics-b ... Full text Cite

Quadratic statistical MAX approximation for parametric yield estimation of analog/RF integrated circuits

Journal article IEEE Transactions on Computer Aided Design of Integrated Circuits and Systems · May 1, 2008 In this paper, we propose an efficient numerical algorithm for estimating the parametric yield of analog/RF circuits, considering large-scale process variations. Unlike many traditional approaches that assume normal performance distributions, the proposed ... Full text Cite

Digital circuit design challenges and opportunities in the era of nanoscale CMOS

Journal article Proceedings of the IEEE · January 1, 2008 Well-designed circuits are one key ldquoinsulatingrdquo layer between the increasingly unruly behavior of scaled complementary metal-oxide-semiconductor devices and the systems we seek to construct from them. As we move forward into the nanoscale regime, c ... Full text Cite

A compact model for valence-band electron tunneling current in partially depleted SOI MOSFETs

Journal article IEEE Transactions on Electron Devices · February 1, 2007 The valence-band electron (EVB) tunneling current in partially depleted silicon-on-insulator (SOI) MOSFETs increases as the gate oxide gets thinner and affects the dynamic behavior of devices and circuits. We present an engineering model of EVB tunneling c ... Full text Cite

Asymptotic probability extraction for nonnormal performance distributions

Journal article IEEE Transactions on Computer Aided Design of Integrated Circuits and Systems · January 1, 2007 While process variations are becoming more significant with each new IC technology generation, they are often modeled via linear regression models so that the resulting performance variations can be captured via normal distributions. Nonlinear response sur ... Full text Cite

Robust analog/RF circuit design with projection-based performance modeling

Journal article IEEE Transactions on Computer Aided Design of Integrated Circuits and Systems · January 1, 2007 In this paper, a robust analog design (ROAD) tool for posttuning (i.e., locally optimizing) analog/RF circuits is proposed. Starting from an initial design derived from hand analysis or analog circuit optimization based on simplified models, ROAD extracts ... Full text Cite

Statistical performance modeling and optimization

Journal article Foundations and Trends in Electronic Design Automation · December 1, 2006 As IC technologies scale to finer feature sizes, it becomes increasingly difficult to control the relative process variations. The increasing fluctuations in manufacturing processes have introduced unavoidable and significant uncertainty in circuit perform ... Full text Cite

PSP: An advanced surface-potential-based MOSFET model for circuit simulation

Journal article IEEE Transactions on Electron Devices · September 1, 2006 This paper describes the latest and most advanced surface-potential-based model jointly developed by The Pennsylvania State University and Philips. Specific topics include model structure, mobility and velocity saturation description, further development a ... Full text Cite

A unified nonquasi-static MOSFET model for large-signal and small-signal simulations

Journal article IEEE Transactions on Electron Devices · September 1, 2006 The spline collocation-based nonquasi-static (NQS) model is further developed to include all regions of operation and small-geometry effects. The new formulation provides a unified (hence consistent) approach to both large-signal and small-signal NQS model ... Full text Cite

Cost function selection for wavelet-based VBR video traffic smoothing

Journal article Electronics Letters · November 11, 2004 Variable bit rate (VBR) video traffic exhibits high rate variability, so smoothing algorithms are proposed to smooth video traffic using some cost functions. However, the relationship between cost functions and smoothing performance is not clear. To addres ... Full text Cite

Behavioral modeling for analog system-level simulation by wavelet collocation method

Journal article IEEE Transactions on Circuits and Systems II Analog and Digital Signal Processing · June 1, 2003 In this paper, we propose a wavelet collocation method with nonlinear companding to generate behavioral models for analog circuits at the system level. During the overall process of circuit modeling, nonlinear function approximation is an Important issue t ... Full text Cite

High-speed clock tree simulation with fast wavelet collocation method

Journal article Chinese Journal of Electronics · January 1, 2003 In this paper, we propose a fast wavelet collocation algorithm for high-speed clock tree simulation. Taking advantage of the specific structure of clock trees and the superior computational property of wavelets, the proposed algorithm presents the followin ... Cite

FECG detection based on blind signal separation

Journal article Chinese Journal of Biomedical Engineering · October 20, 2002 A new method of blind signal separation was provided to achieve FECG (Fetal ECG) detection. The lead-system characteristic for pregnant ECG signal was studied at first, then an on-line FECG monitoring system was designed. Because the on-line learning algor ... Cite

A wavelet-balance approach for steady-state analysis of nonlinear circuits

Journal article IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications · May 1, 2002 In this paper, a novel wavelet-balance method is proposed for steady-state analysis of nonlinear circuits. Taking advantage of the superior computational properties of wavelets, the proposed method presents several merits compared with those conventional f ... Full text Cite

Wavelet balance approach for steady-state analysis in nonlinear circuits

Journal article Tien Tzu Hsueh Pao Acta Electronica Sinica · June 1, 2001 This paper provides a novel wavelet balance approach for steady-state analysis in nonlinear circuits. Because the proposed simulation algorithm is performed in time domain, it can overcome most of the disadvantages of the frequency domain based methodology ... Cite

Fast wavelet collocation method with nonlinear companding in time domain

Journal article Tien Tzu Hsueh Pao Acta Electronica Sinica · May 1, 2001 This paper provides a new method to regulate the step length of FWCM by nonlinear companding in time domain, so that the error distribution can be controlled in circuit simulation. Because the technology of domain transform is used, the step length of FWCM ... Cite