World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
5620
World Ranking
8961
National Ranking
3809

Overview

Bill Lin is affiliated with the University of California, San Diego in the United States and has a research focus primarily in computer science and engineering. Their work spans multiple subfields, including artificial intelligence, electrical and electronic engineering, computer vision and pattern recognition, computer networks and communications, and hardware and architecture.

The scientist's research topics cover a variety of areas such as topic modeling, natural language processing techniques, machine learning and data classification, photonic and optical devices, privacy-preserving technologies in data, VLSI and FPGA design techniques, and neural networks and reservoir computing.

Bill Lin has contributed to numerous publications across reputable venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Artificial Intelligence
  • ACM Transactions on Architecture and Code Optimization
  • IEEE Open Journal of the Computer Society

Significant recent papers authored or co-authored by Bill Lin include:

  • "Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models," 2022, arXiv (Cornell University)
  • "FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks," 2022, Findings of the Association for Computational Linguistics: NAACL
  • "Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles between Client Data Subspaces," 2023, Proceedings of the AAAI Conference on Artificial Intelligence
  • "FLIS: Clustered Federated Learning Via Inference Similarity for Non-IID Data Distribution," 2023, IEEE Open Journal of the Computer Society
  • "Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks," 2023, IEEE Transactions on Artificial Intelligence

Bill Lin's research collaborations include frequent co-authors such as:

  • Chung-Kuan Cheng
  • Xiang Ren
  • Daeyeal Lee
  • Mahdi Morafah
  • Weijia Wang

The body of research contributed by Bill Lin reflects a sustained involvement in advancing federated learning methodologies, natural language processing, and machine learning techniques, along with applications in hardware design and privacy technologies.

Best Publications

  • Implicit state enumeration of finite state machines using BDD's

    H.J. Touati;H. Savoj;B. Lin;R.K. Brayton

  • Power estimation methods for sequential logic circuits

    Chi-Ying Tsui;J. Monteiro;Massoud Pedram;Srinivas Devadas

  • Hardware/software co-design of digital telecommunication systems

    I. Bolsens;H.J. De Man;B. Lin;K. Van Rompaey

  • A Methodology for Efficient Estimation of Switching Activity in Sequential Logic Circuits

    José Monteiro;Srinivas Devadas;Bill Lin

  • ORION3.0: A Comprehensive NoC Router Estimation Tool

    Andrew B. Kahng;Bill Lin;Siddhartha Nath

  • Basic Gate Implementation of Speed-Independendent Circuits

    A. Kondratyev;M. Kishinevsky;B. Lin;P. Vanbekbergen

  • Fast and scalable priority queue architecture for high-speed network switches

    R. Bhagwan;B. Lin

  • MINIMALIST: An Environment for the Synthesis, Verification and Testability of Burst-Mode Asynchronous Machines

    Robert M. Fuhrer;Steven M. Nowick;Michael Theobald;Niraj K. Jha

  • A generalized state assignment theory for transformations on signal transition graphs

    Peter Vanbekbergen;Bill Lin;Gert Goossens;Hugo De Man

  • Constructing application-specific heterogeneous embedded architectures from custom HW/SW applications

    S. Vercauteren;B. Lin;H. De Man

  • Minimization of symbolic relations

    B. Lin;F. Somenzi

  • MUSE: a multilevel symbolic encoding algorithm for state assignment

    X. Du;G. Hachtel;B. Lin;A.R. Newton

  • Design of a High-Throughput Distributed Shared-Buffer NoC Router

    Rohit Sunkam Ramanujam;Vassos Soteriou;Bill Lin;Li-Shiuan Peh

  • Don't care minimization of multi-level sequential logic networks

    B. Lin;H.J. Touati;A.R. Newton

  • Destination-based adaptive routing on 2D mesh networks

    Rohit Sunkam Ramanujam;Bill Lin

  • A generalized state assignment theory for transformations on signal transition graphs

    Peter Vanbekbergen;Bill Lin;Gert Goosens;Hugo De Man

  • Synthesis of concurrent system interface modules with automatic protocol conversion generation

    Bill Lin;Steven Vercauteren

  • Flow graph balancing for minimizing the required memory bandwidth

    S. Wuytack;F. Catthoor;G. de Jong;B. Lin

  • Personalized Federated Learning by Structured and Unstructured Pruning under Data Heterogeneity

    Saeed Vahidian;Mahdi Morafah;Bill Lin

  • Software synthesis of process-based concurrent programs

    Bill Lin

  • A High-Throughput Distributed Shared-Buffer NoC Router

    V. Soteriou;R.S. Ramanujam;B. Lin;Li-Shiuan Peh

Frequent Co-Authors

Jun Xu
Jun Xu Georgia Institute of Technology
H. De Man
H. De Man KU Leuven
A.R. Newton
A.R. Newton University of California, Berkeley
Andrew B. Kahng
Andrew B. Kahng University of California, San Diego
Chung-Kuan Cheng
Chung-Kuan Cheng University of California, San Diego
Subhabrata Sen
Subhabrata Sen AT&T (United States)
Chi-Ying Tsui
Chi-Ying Tsui Hong Kong University of Science and Technology
Massoud Pedram
Massoud Pedram University of Southern California

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