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Xue Lin

Identifiers

  • name variant Xue Lin 0.60 · backfill

Papers (19)

  1. ActQuant: Sub-4-bit Action-Guided Quantization for Vision-Language-Action Models cs.CV · 2026 · author #11
  2. A Survey of Advancing Audio Super-Resolution and Bandwidth Extension from Discriminative to Generative Models eess.AS · 2026 · author #6
  3. When Should a Robot Think? Resource-Aware Reasoning via Reinforcement Learning for Embodied Robotic Decision-Making cs.RO · 2026 · author #12
  4. Structured Agent Distillation for Large Language Model cs.LG · 2025 · author #11
  5. Progressive DNN Compression: A Key to Achieve Ultra-High Weight Pruning and Quantization Rates using ADMM cs.NE · 2019 · author #12
  6. ADMM-NN: An Algorithm-Hardware Co-Design Framework of DNNs Using Alternating Direction Method of Multipliers cs.LG · 2018 · author #7
  7. E-RNN: Design Optimization for Efficient Recurrent Neural Networks in FPGAs cs.CV · 2018 · author #9
  8. A Unified Framework of DNN Weight Pruning and Weight Clustering/Quantization Using ADMM cs.NE · 2018 · author #8
  9. Progressive Weight Pruning of Deep Neural Networks using ADMM cs.LG · 2018 · author #12
  10. Defensive Dropout for Hardening Deep Neural Networks under Adversarial Attacks cs.CR · 2018 · author #7
  11. Structured Adversarial Attack: Towards General Implementation and Better Interpretability cs.LG · 2018 · author #9
  12. StructADMM: A Systematic, High-Efficiency Framework of Structured Weight Pruning for DNNs cs.NE · 2018 · author #9
  13. An ADMM-Based Universal Framework for Adversarial Attacks on Deep Neural Networks cs.LG · 2018 · author #4
  14. Prediction-Based Fast Thermoelectric Generator Reconfiguration for Energy Harvesting from Vehicle Radiators cs.OH · 2018 · author #8
  15. On the Universal Approximation Property and Equivalence of Stochastic Computing-based Neural Networks and Binary Neural Networks cs.LG · 2018 · author #9
  16. Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial Examples cs.CV · 2018 · author #5
  17. Towards Ultra-High Performance and Energy Efficiency of Deep Learning Systems: An Algorithm-Hardware Co-Optimization Framework cs.LG · 2018 · author #11
  18. CirCNN: Accelerating and Compressing Deep Neural Networks Using Block-CirculantWeight Matrices cs.CV · 2017 · author #15
  19. Delta-operator based consensus analysis of multi-agent networks with link failures cs.SY · 2017 · author #1

Mentions

  • 2603.16673 #12 · arxiv_oai · confidence 0.70 Xue Lin
  • 2505.13820 #11 · arxiv_oai · confidence 0.70 Xue Lin
  • 2605.24011 #11 · arxiv_oai · confidence 0.70 Xue Lin
  • 2605.16681 #6 · arxiv_oai · confidence 0.70 Xue Lin

Frequent Coauthors