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Ziming Liu

Identifiers

  • name variant Ziming Liu 0.60 · backfill

Papers (66)

  1. The FAST Hundred-Deg$^2$ HI Deep (HD$^2$) Survey: Early Results from the Pilot Survey astro-ph.GA · 2026 · author #15
  2. HiFAST: An HI data calibration and imaging pipeline for the FAST IV: The stray-radiation correction astro-ph.IM · 2026 · author #9
  3. PlexRL: Cluster-Level Orchestration of Serviceized LLM Execution for RLVR cs.DC · 2026 · author #12
  4. A Robust Two-Stage Protocol for STAR-RIS-Aided ISAC Networks: Joint Beamforming and Mode Optimization eess.SP · 2026 · author #1
  5. Inverse Depth Scaling From Most Layers Being Similar cs.LG · 2026 · author #3
  6. Universal One-third Time Scaling in Learning Peaked Distributions cs.LG · 2026 · author #2
  7. Gridless Full-Space DOA Estimation for STAR-RIS-Assisted Wireless Systems eess.SP · 2026 · author #1
  8. Superposition Yields Robust Neural Scaling cs.LG · 2025 · author #2
  9. Epsilon: Exploring Comprehensive Visual-Semantic Projection for Multi-Label Zero-Shot Learning cs.CV · 2024 · author #1
  10. KAN 2.0: Kolmogorov-Arnold Networks Meet Science cs.LG · 2024 · author #1
  11. HiFAST : An HI Data Calibration and Imaging Pipeline for FAST II. Flux Density Calibration astro-ph.IM · 2024 · author #1
  12. Observation of HI around three satellite galaxies of the M31 with the FAST: Andromeda II, NGC 205, and NGC 185 astro-ph.GA · 2024 · author #1
  13. Survival of the Fittest Representation: A Case Study with Modular Addition cs.LG · 2024 · author #4
  14. Exploring Nutritional Impact on Alzheimer's Mortality: An Explainable AI Approach cs.LG · 2024 · author #1
  15. Using a Convolutional Neural Network and Explainable AI to Diagnose Dementia Based on MRI Scans eess.IV · 2024 · author #2
  16. How Do Transformers "Do" Physics? Investigating the Simple Harmonic Oscillator cs.LG · 2024 · author #2
  17. OptPDE: Discovering Novel Integrable Systems via AI-Human Collaboration cs.LG · 2024 · author #2
  18. KAN: Kolmogorov-Arnold Networks cs.LG · 2024 · author #1
  19. FEASTS Combined with Interferometry (I): Overall Properties of Diffuse HI and Implications for Gas Accretion in Nearby Galaxies astro-ph.GA · 2024 · author #18
  20. HeteGen: Heterogeneous Parallel Inference for Large Language Models on Resource-Constrained Devices cs.PF · 2024 · author #4
  21. Opening the AI black box: program synthesis via mechanistic interpretability cs.LG · 2024 · author #4
  22. A Resource Model For Neural Scaling Law cs.LG · 2024 · author #2
  23. Do Diffusion Models Learn Semantically Meaningful and Efficient Representations? cs.LG · 2024 · author #2
  24. HiFAST: an HI data calibration and imaging pipeline for FAST astro-ph.GA · 2024 · author #4
  25. AutoChunk: Automated Activation Chunk for Memory-Efficient Long Sequence Inference cs.PF · 2024 · author #7
  26. ParsNets: A Parsimonious Orthogonal and Low-Rank Linear Networks for Zero-Shot Learning cs.CV · 2023 · author #5
  27. Generating Interpretable Networks using Hypernetworks cs.LG · 2023 · author #2
  28. Growing Brains: Co-emergence of Anatomical and Functional Modularity in Recurrent Neural Networks q-bio.NC · 2023 · author #1
  29. Grokking as Compression: A Nonlinear Complexity Perspective cs.LG · 2023 · author #1
  30. A Neural Scaling Law from Lottery Ticket Ensembling cs.LG · 2023 · author #1
  31. GBE-MLZSL: A Group Bi-Enhancement Framework for Multi-Label Zero-Shot Learning cs.CV · 2023 · author #1
  32. Hanayo: Harnessing Wave-like Pipeline Parallelism for Enhanced Large Model Training Efficiency cs.DC · 2023 · author #1
  33. The Clock and the Pizza: Two Stories in Mechanistic Explanation of Neural Networks cs.LG · 2023 · author #2
  34. Restart Sampling for Improving Generative Processes cs.LG · 2023 · author #5
  35. Discovering New Interpretable Conservation Laws as Sparse Invariants math.DS · 2023 · author #1
  36. Seeing is Believing: Brain-Inspired Modular Training for Mechanistic Interpretability cs.NE · 2023 · author #1
  37. DRPT: Disentangled and Recurrent Prompt Tuning for Compositional Zero-Shot Learning cs.CV · 2023 · author #2
  38. GenPhys: From Physical Processes to Generative Models cs.LG · 2023 · author #1
  39. The Quantization Model of Neural Scaling cs.LG · 2023 · author #2
  40. PFGM++: Unlocking the Potential of Physics-Inspired Generative Models cs.LG · 2023 · author #2
  41. ATP: Adaptive Tensor Parallelism for Foundation Models cs.DC · 2023 · author #2
  42. FEASTS: IGM cooling triggered by tidal interactions through the diffuse HI phase around NGC 4631 astro-ph.GA · 2023 · author #14
  43. Decomposed Soft Prompt Guided Fusion Enhancing for Compositional Zero-Shot Learning cs.CV · 2022 · author #2
  44. ProCC: Progressive Cross-primitive Compatibility for Open-World Compositional Zero-Shot Learning cs.CV · 2022 · author #6
  45. Precision Machine Learning cs.LG · 2022 · author #2
  46. Omnigrok: Grokking Beyond Algorithmic Data cs.LG · 2022 · author #1
  47. Poisson Flow Generative Models cs.LG · 2022 · author #2
  48. EnergonAI: An Inference System for 10-100 Billion Parameter Transformer Models cs.LG · 2022 · author #2
  49. Fed-FSNet: Mitigating Non-I.I.D. Federated Learning via Fuzzy Synthesizing Network cs.CR · 2022 · author #4
  50. Anchor Sampling for Federated Learning with Partial Client Participation cs.LG · 2022 · author #5
  51. Towards Understanding Grokking: An Effective Theory of Representation Learning cs.LG · 2022 · author #1
  52. Towards Unbiased Multi-label Zero-Shot Learning with Pyramid and Semantic Attention cs.CV · 2022 · author #1
  53. From Deterioration to Acceleration: A Calibration Approach to Rehabilitating Step Asynchronism in Federated Optimization cs.DC · 2021 · author #7
  54. Radio Frequency Interference Mitigation and Statistics in the Spectral Observations of FAST astro-ph.IM · 2021 · author #5
  55. Physics-Augmented Learning: A New Paradigm Beyond Physics-Informed Learning cs.LG · 2021 · author #1
  56. Machine-Learning Non-Conservative Dynamics for New-Physics Detection cs.LG · 2021 · author #1
  57. DTG-Net: Differentiated Teachers Guided Self-Supervised Video Action Recognition cs.CV · 2020 · author #1
  58. HRDNet: High-resolution Detection Network for Small Objects cs.CV · 2020 · author #1
  59. Schr\"{o}dinger PCA: On the Duality between Principal Component Analysis and Schr\"{o}dinger Equation physics.comp-ph · 2020 · author #1
  60. Robustness of principal component analysis on harmonic flow in heavy ion collisions nucl-ex · 2020 · author #1
  61. Influenza Modeling Based on Massive Feature Engineering and International Flow Deconvolution cs.LG · 2019 · author #1
  62. Quantum-Inspired Hamiltonian Monte Carlo for Bayesian Sampling stat.ML · 2019 · author #1
  63. IPG-Net: Image Pyramid Guidance Network for Small Object Detection cs.CV · 2019 · author #1
  64. Multi-PCA based Fault Detection Model Combined with Prior knowledge of HVAC cs.LG · 2019 · author #1
  65. Principal Component Analysis of collective flow in Relativistic Heavy-Ion Collisions nucl-th · 2019 · author #1
  66. Applications of deep learning to relativistic hydrodynamics nucl-th · 2018 · author #3

Mentions

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Frequent Coauthors