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Bill Lin

Identifiers

  • name variant Bill Lin 0.60 · backfill

Papers (23)

  1. Federated Learning Client Pruning for Noisy Labels cs.LG · 2024 · author #4
  2. Towards Diverse Device Heterogeneous Federated Learning via Task Arithmetic Knowledge Integration cs.LG · 2024 · author #5
  3. Micro-Ring Modulator Linearity Enhancement for Analog and Digital Optical Links eess.SY · 2024 · author #4
  4. MAP-Neo: Highly Capable and Transparent Bilingual Large Language Model Series cs.CL · 2024 · author #19
  5. Stable Diffusion-based Data Augmentation for Federated Learning with Non-IID Data cs.LG · 2024 · author #3
  6. On Robustness and Generalization of ML-Based Congestion Predictors to Valid and Imperceptible Perturbations cs.LG · 2024 · author #4
  7. Monolithic Silicon-Photonics Linear-Algebra Accelerators Enabling Next-Gen Massive MIMO eess.SY · 2024 · author #3
  8. ChatGPT at the Speed of Light: Optical Comb-Based Monolithic Photonic-Electronic Linear-Algebra Accelerators eess.SY · 2023 · author #3
  9. A Practical Recipe for Federated Learning Under Statistical Heterogeneity Experimental Design cs.LG · 2023 · author #3
  10. When Do Curricula Work in Federated Learning? cs.LG · 2022 · author #8
  11. Neural Routing in Meta Learning cs.LG · 2022 · author #5
  12. Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks cs.LG · 2022 · author #5
  13. Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles Between Client Data Subspaces cs.LG · 2022 · author #7
  14. FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution cs.LG · 2022 · author #4
  15. NeuCASL: From Logic Design to System Simulation of Neuromorphic Engines cs.ET · 2022 · author #3
  16. LiteCON: An All-Photonic Neuromorphic Accelerator for Energy-efficient Deep Learning (Preprint) cs.ET · 2022 · author #2
  17. Personalized Federated Learning by Structured and Unstructured Pruning under Data Heterogeneity cs.LG · 2021 · author #3
  18. Learning Accurate and Interpretable Decision Rule Sets from Neural Networks cs.LG · 2021 · author #3
  19. Unsupervised Meta-Learning through Latent-Space Interpolation in Generative Models cs.LG · 2020 · author #5
  20. Differentially-private Federated Neural Architecture Search cs.LG · 2020 · author #5
  21. Network Optimization for Unified Packet and Circuit Switched Networks cs.NI · 2018 · author #3
  22. SARA: Self-Aware Resource Allocation for Heterogeneous MPSoCs cs.DC · 2018 · author #3
  23. Sprinklers: A Randomized Variable-Size Striping Approach to Reordering-Free Load-Balanced Switching cs.NI · 2014 · author #5

Mentions

  • 2409.18461 #5 · arxiv_oai · confidence 0.70 Bill Lin
  • 2411.07391 #4 · arxiv_oai · confidence 0.70 Bill Lin
  • 2407.11172 #4 · arxiv_oai · confidence 0.70 Bill Lin
  • 2405.19327 #19 · arxiv_oai · confidence 0.70 Bill Lin
  • 2405.07925 #3 · arxiv_oai · confidence 0.70 Bill Lin
  • 2403.00103 #4 · arxiv_oai · confidence 0.70 Bill Lin
  • 2402.08192 #3 · arxiv_oai · confidence 0.70 Bill Lin
  • 2311.11224 #3 · arxiv_oai · confidence 0.70 Bill Lin
  • 2307.15245 #3 · arxiv_oai · confidence 0.70 Bill Lin
  • 2212.12712 #8 · arxiv_oai · confidence 0.70 Bill Lin
  • 2210.07932 #5 · arxiv_oai · confidence 0.70 Bill Lin
  • 2209.15595 #5 · arxiv_oai · confidence 0.70 Bill Lin
  • 2209.10526 #7 · arxiv_oai · confidence 0.70 Bill Lin
  • 2208.09754 #4 · arxiv_oai · confidence 0.70 Bill Lin
  • 2208.03500 #3 · arxiv_oai · confidence 0.70 Bill Lin
  • 2206.13861 #2 · arxiv_oai · confidence 0.70 Bill Lin
  • 2105.00562 #3 · arxiv_oai · confidence 0.70 Bill Lin
  • 2103.02826 #3 · arxiv_oai · confidence 0.70 Bill Lin
  • 2006.10559 #5 · arxiv_oai · confidence 0.70 Bill Lin
  • 2006.10236 #5 · arxiv_oai · confidence 0.70 Bill Lin
  • 1808.00586 #3 · arxiv_oai · confidence 0.70 Bill Lin
  • 1804.02068 #3 · arxiv_oai · confidence 0.70 Bill Lin
  • 1407.0006 #5 · arxiv_oai · confidence 0.70 Bill Lin
  • 1407.0006 #5 · backfill · confidence 0.70 Bill Lin

Frequent Coauthors