Faculty

Institution

Unit

Venue

Bill Lin

Professor/Chair Electrical and Computer Engineering

University of California, San Diego

Affiliations

Jacobs School of Engineering

Electrical & Computer Engineering

Bill Lin is currently serving as an Electrical & Computer Engineering Professor/Chair Electrical and Computer Engineering at University of California, San Diego.

Honors

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Experiences

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Education

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Bill Lin

University of California, San Diego

Professor/Chair Electrical and Computer Engineering

You can click a keyword to filter the displayed items

computer science systems engineering computer engineering electrical engineering machine learning communications systems networked system design distributed systems network routing network analysis design automation embedded systems optoelectronics deep learning computer-aided design telecommunication networks wireless communications federated learning network management network on chip network routing algorithm microelectronics vlsi technology computer design network optimization electronics power electronics communication security electronic design automation advanced networking network traffic control transportation engineering microarchitecture scientific computing vlsi design concurrency (computer science) concurrent programming concurrent systems mesh networks distributed computing engineering optimization embedded architecture embedded machine learning scalable routing concurrency theory service management router architecture intermittently connected device scheduling (computing) wireless network management quality-of-service routing protocols concurrent engineering load balancing (computing) torus networks computational intelligence data security router design asic implementation system on chip concurrency control three-dimensional mesh networks array architecture standard cell synthesis succinct priority proactive surge protection routing choices incremental expansion weighted random smart noc network processing sequential logic circuits efficient estimation basic gate implementation speed-independent circuits destination-based adaptive routing computer architecture circuit design energy efficiency vlsi circuit gigascale integration vlsi architecture

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Board 409: Toward Understanding Engineering Transfer Students' Transitions From Community Colleges to 4-Year Institutions. (2024)

Karcher MorrisJaclyn DuerrSaharnaz BaghdadchiBill Lin

engineering educationengineeringengineering transfer studentscommunity colleges

Chatgpt at the Speed of Light: Monolithic Photonic-Electronic Linear-Algebra Accelerators for Large Language Models. (2024)

Tzu-Chien HsuehYeshaiahu FainmanBill Lin

computer sciencephotonicscomputational sciencescientific computingcomputer engineeringcomputational linguisticsoptical computingnatural language processinglanguage models

Federated Learning Client Pruning for Noisy Labels. ACM Transactions on Modeling and Performance Evaluation of Computing Systems (2024)

Mahdi MorafahHojin ChangChen ChenBill Lin

computer scienceperformance modelingnoisy labelsfederated learningmodeling and simulationmachine learning

Micro-Ring Modulator Linearity Enhancement for Analog and Digital Optical Links. IEEE Photonics Technology Letters (2024)

Sumilak ChaudhuryKarl JohnsonVladimir FedorovBill LinYeshaiahu FainmanTzu-Chien Hsueh

photonicsoptical communicationstechnologyoptoelectronicsdigital optical links

Monolithic Silicon-Photonics Linear-Algebra Accelerators Enabling Next-Gen Massive Mimo. Journal of Lightwave Technology (2024)

Tzu-Chien HsuehYeshaiahu FainmanBill Lin

particle acceleratorsaccelerator technologyaccelerator physicshardware accelerationoptoelectronicsmimo systemapplied physicsmaterials science

Optical Comb-Based Monolithic Photonic-Electronic Accelerators for Self-Attention Computation. IEEE Journal of Selected Topics in Quantum Electronics (2024)

Tzu-Chien HsuehYeshaiahu FainmanBill Lin

computer sciencephotonicsaccelerator technologyself-attention computationoptoelectronicsoptical computing

Towards Diverse Device Heterogeneous Federated Learning via Task Arithmetic Knowledge Integration. arXiv (Cornell University) (2024)

Morafah, MahdiKungurtsev, VyacheslavChang, HojinChen, ChenLin, Bill

computer scienceknowledge discoverydeep learningknowledge managementheterogeneous computingscientific computingembedded machine learningdevice integrationknowledge representation and reasoningmachine learning researchfederated learningdata sciencemulti-task learningapplied mathematicsmachine learning

Alternative Formulations of Decision Rule Learning From Neural Networks. Machine Learning and Knowledge Extraction (2023)

Litao QiaoWeijia WangBill Lin

computer sciencealternative formulationsknowledge extractionneural networksdecision rulemachine learning

A Practical Recipe for Federated Learning Under Statistical Heterogeneity Experimental Design. IEEE Transactions on Artificial Intelligence (2023)

Mahdi MorafahWeijia WangBill Lin

artificial intelligencecomputer sciencefederated learningdata scienceapplied mathematicsmachine learning

Disjunctive Threshold Networks for Tabular Data Classification. IEEE Open Journal of the Computer Society (2023)

Weijia WangLitao QiaoBill Lin

informaticscomputer sciencecomputer visiondata classificationclassification methoddisjunctive threshold networkscomputer engineeringtabular data classificationclassifier systemsmachine learning

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Bill Lin

Professor/Chair Electrical and Computer Engineering

University of California, San Diego

Affiliations

Jacobs School of Engineering

Electrical & Computer Engineering

Bill Lin is currently serving as an Electrical & Computer Engineering Professor/Chair Electrical and Computer Engineering 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

Bill Lin

University of California, San Diego

Professor/Chair Electrical and Computer Engineering

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Board 409: Toward Understanding Engineering Transfer Students' Transitions From Community Colleges to 4-Year Institutions. (2024)

Karcher MorrisJaclyn DuerrSaharnaz BaghdadchiBill Lin

engineering educationengineeringengineering transfer studentscommunity colleges

Chatgpt at the Speed of Light: Monolithic Photonic-Electronic Linear-Algebra Accelerators for Large Language Models. (2024)

Tzu-Chien HsuehYeshaiahu FainmanBill Lin

computer sciencephotonicscomputational sciencescientific computingcomputer engineeringcomputational linguisticsoptical computingnatural language processinglanguage models

Federated Learning Client Pruning for Noisy Labels. ACM Transactions on Modeling and Performance Evaluation of Computing Systems (2024)

Mahdi MorafahHojin ChangChen ChenBill Lin

computer scienceperformance modelingnoisy labelsfederated learningmodeling and simulationmachine learning

Micro-Ring Modulator Linearity Enhancement for Analog and Digital Optical Links. IEEE Photonics Technology Letters (2024)

Sumilak ChaudhuryKarl JohnsonVladimir FedorovBill LinYeshaiahu FainmanTzu-Chien Hsueh

photonicsoptical communicationstechnologyoptoelectronicsdigital optical links

Monolithic Silicon-Photonics Linear-Algebra Accelerators Enabling Next-Gen Massive Mimo. Journal of Lightwave Technology (2024)

Tzu-Chien HsuehYeshaiahu FainmanBill Lin

particle acceleratorsaccelerator technologyaccelerator physicshardware accelerationoptoelectronicsmimo systemapplied physicsmaterials science

Optical Comb-Based Monolithic Photonic-Electronic Accelerators for Self-Attention Computation. IEEE Journal of Selected Topics in Quantum Electronics (2024)

Tzu-Chien HsuehYeshaiahu FainmanBill Lin

computer sciencephotonicsaccelerator technologyself-attention computationoptoelectronicsoptical computing

Towards Diverse Device Heterogeneous Federated Learning via Task Arithmetic Knowledge Integration. arXiv (Cornell University) (2024)

Morafah, MahdiKungurtsev, VyacheslavChang, HojinChen, ChenLin, Bill

Alternative Formulations of Decision Rule Learning From Neural Networks. Machine Learning and Knowledge Extraction (2023)

Litao QiaoWeijia WangBill Lin

computer sciencealternative formulationsknowledge extractionneural networksdecision rulemachine learning

A Practical Recipe for Federated Learning Under Statistical Heterogeneity Experimental Design. IEEE Transactions on Artificial Intelligence (2023)

Mahdi MorafahWeijia WangBill Lin

artificial intelligencecomputer sciencefederated learningdata scienceapplied mathematicsmachine learning

Disjunctive Threshold Networks for Tabular Data Classification. IEEE Open Journal of the Computer Society (2023)

Weijia WangLitao QiaoBill Lin

informaticscomputer sciencecomputer visiondata classificationclassification methoddisjunctive threshold networkscomputer engineeringtabular data classificationclassifier systemsmachine learning

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5
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10 / page

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multidisciplinary ai

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