Faculty

Institution

Unit

Venue

C. K. Cheng

University of California, San Diego

Affiliations

Jacobs School of Engineering

Computer Science & Engineering

NoneC. K. Cheng is currently serving as a Computer Science & Engineering faculty at University of California, San Diego.

Honors

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Experiences

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Education

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C. K. Cheng

University of California, San Diego

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electrical engineering systems engineering computer engineering engineering computer-aided design power electronics machine learning design automation optoelectronics design optimization engineering optimization microelectronics vlsi design circuit design formal methods electronic design electronics electronic engineering computational electromagnetics vlsi technology computer vision cognitive neuroscience circuit simulation electronic design automation power engineering computational optimization automatic control corner block list networked system design control optimization wireless communications circuit analysis matrix exponential method mathematical optimization eeg signal processing network optimization network routing network routing algorithm 3d modeling passive compensation thermal engineering vehicular technology solid-state electronics numerical simulations interconnect (integrated circuits) routing protocols asic implementation 3d computer vision independent component analysis o-tree representation time-domain analysis conditional design rules advanced design router architecture router design computer-aided engineering cognitive electrophysiology brain imaging power-aware design processor architectures micro-electromechanical systems computer design semiconductor nanostructures health monitoring device modeling performance prediction floorplan representations global router non-hair-bearing areas programmable logic boards power network analysis large-scale circuits delay minimization efficient algorithm on-chip interconnect advanced nodes

Notable Scholarly Works

Notable Federal Grants

Collaborators

On Robustness and Generalization of ML-Based Congestion Predictors to Valid and Imperceptible Perturbations. arXiv (Cornell University) (2024)

Holtz, ChesterWang, YuchengCheng, Chung-KuanLin, Bill

deep learningcomputer sciencerobustness (computer science)robust optimizationmachine learningml-based congestion predictorsadversarial machine learningapplied mathematicsrobust controlnetwork robustnessimperceptible perturbations

Sequential Subspace Methods on Stiefel Manifold Optimization Problems. arXiv (Cornell University) (2024)

Chen, PengwenCheng, Chung-KuanHoltz, Chester

machine learningsequential subspace methodsapplied mathematics

Assessing Pediatric Mild Traumatic Brain Injury and Its Recovery Using Resting-State Magnetoencephalography Source Magnitude Imaging and Machine Learning. Journal of Neurotrauma (2023)

Ming-Xiong HuangAnnemarie Angeles-QuintoAshley Robb-SwanBianca G. De-la-GarzaCharles W. HuangChung-Kuan ChengJohn R. HesselinkErin D. BiglerElisabeth A. WildeFlorin VaidaEmily A. TroyerJeffrey E. Max

neuroimagingrecoveryneurosciencepediatrics

Assessment of Reinforcement Learning for Macro Placement. ACM International Symposium on Physical Design (2023)

Chung-Kuan ChengAndrew B. KahngSayak KunduYucheng WangZhiang Wang

macro placementreinforcement learningelectrical engineering

Gear-Ratio-Aware Standard Cell Layout Framework for Dtco Exploration. (2023)

Chung-Kuan ChengAndrew B. KahngBill LinYucheng WangDooseok Yoon

computer-aided designdesign optimizationperformance evaluationequipment designdesignengineeringinstrumentationenergy explorationtransportation engineeringdtco explorationintermittently connected deviceelectrical engineering

Invited Paper: The Scope and Challenges of Scaling in Advanced Technologies. (2023)

Chung-Kuan ChengBill LinByeonggon KangYucheng Wang

technology scalingscalabilityengineering

Placement Initialization via Sequential Subspace Optimization With Sphere Constraints. ACM International Symposium on Physical Design (2023)

Pengwen ChenChung-Kuan ChengAlbert ChernChester HoltzAoxi LiYucheng Wang

placement initializationsphere constraintsmechanical engineeringsystems engineeringsequential subspace optimizationmodeling and simulationelectrical engineering

Semi-Supervised Laplacian Learning on Stiefel Manifolds. arXiv (Cornell University) (2023)

Holtz, ChesterChen, PengwenCloninger, AlexanderCheng, Chung-KuanMishne, Gal

machine learningsemi-supervised laplacian learningstiefel manifoldsapplied mathematicssemi-supervised learning

DAGSIZER: A Directed Graph Convolutional Network Approach to Discrete Gate Sizing of Vlsi Graphs. ACM Transactions on Design Automation of Electronic Systems (2022)

Chung-Kuan ChengChester HoltzAndrew B. KahngBill LinUday Mallappa

power electronicscomputer sciencegraph theorydirected graphssystems engineeringelectronic design automationdesign automationvlsi graphselectrical engineering

Detection of Chronic Blast-Related Mild Traumatic Brain Injury With Diffusion Tensor Imaging and Support Vector Machines. Diagnostics (2022)

Deborah L. HarringtonPo-Ya HsuRebecca J. TheilmannAnnemarie Angeles-QuintoAshley Robb-SwanSharon NicholsTao SongLu LeCarl RimmeleScott MatthewsKate A. YurgilAngela DrakeZhengwei JiJian GuoChung-Kuan ChengRoland R. LeeDewleen G. BakerMingxiong Huang

neurologytraumainnovative diagnosticsmedical diagnosticsneuroimagingdiagnostic systemsneurosciencediffusion tensor imagingmedical imagingdiagnostic imagingdiagnosisdisease detectionepidemiology

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C. K. Cheng

University of California, San Diego

Affiliations

Jacobs School of Engineering

Computer Science & Engineering

NoneC. K. Cheng is currently serving as a Computer Science & Engineering faculty at University of California, San Diego.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

C. K. Cheng

University of California, San Diego

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

On Robustness and Generalization of ML-Based Congestion Predictors to Valid and Imperceptible Perturbations. arXiv (Cornell University) (2024)

Holtz, ChesterWang, YuchengCheng, Chung-KuanLin, Bill

Sequential Subspace Methods on Stiefel Manifold Optimization Problems. arXiv (Cornell University) (2024)

Chen, PengwenCheng, Chung-KuanHoltz, Chester

machine learningsequential subspace methodsapplied mathematics

Assessing Pediatric Mild Traumatic Brain Injury and Its Recovery Using Resting-State Magnetoencephalography Source Magnitude Imaging and Machine Learning. Journal of Neurotrauma (2023)

Ming-Xiong HuangAnnemarie Angeles-QuintoAshley Robb-SwanBianca G. De-la-GarzaCharles W. HuangChung-Kuan ChengJohn R. HesselinkErin D. BiglerElisabeth A. WildeFlorin VaidaEmily A. TroyerJeffrey E. Max

neuroimagingrecoveryneurosciencepediatrics

Assessment of Reinforcement Learning for Macro Placement. ACM International Symposium on Physical Design (2023)

Chung-Kuan ChengAndrew B. KahngSayak KunduYucheng WangZhiang Wang

macro placementreinforcement learningelectrical engineering

Gear-Ratio-Aware Standard Cell Layout Framework for Dtco Exploration. (2023)

Chung-Kuan ChengAndrew B. KahngBill LinYucheng WangDooseok Yoon

Invited Paper: The Scope and Challenges of Scaling in Advanced Technologies. (2023)

Chung-Kuan ChengBill LinByeonggon KangYucheng Wang

technology scalingscalabilityengineering

Placement Initialization via Sequential Subspace Optimization With Sphere Constraints. ACM International Symposium on Physical Design (2023)

Pengwen ChenChung-Kuan ChengAlbert ChernChester HoltzAoxi LiYucheng Wang

placement initializationsphere constraintsmechanical engineeringsystems engineeringsequential subspace optimizationmodeling and simulationelectrical engineering

Semi-Supervised Laplacian Learning on Stiefel Manifolds. arXiv (Cornell University) (2023)

Holtz, ChesterChen, PengwenCloninger, AlexanderCheng, Chung-KuanMishne, Gal

machine learningsemi-supervised laplacian learningstiefel manifoldsapplied mathematicssemi-supervised learning

DAGSIZER: A Directed Graph Convolutional Network Approach to Discrete Gate Sizing of Vlsi Graphs. ACM Transactions on Design Automation of Electronic Systems (2022)

Chung-Kuan ChengChester HoltzAndrew B. KahngBill LinUday Mallappa

power electronicscomputer sciencegraph theorydirected graphssystems engineeringelectronic design automationdesign automationvlsi graphselectrical engineering

Detection of Chronic Blast-Related Mild Traumatic Brain Injury With Diffusion Tensor Imaging and Support Vector Machines. Diagnostics (2022)

neurologytraumainnovative diagnosticsmedical diagnosticsneuroimagingdiagnostic systemsneurosciencediffusion tensor imagingmedical imagingdiagnostic imagingdiagnosisdisease detectionepidemiology

1
2
3
4
5
34
10 / page

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