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Zhiru Zhang

Identifiers

  • name variant Zhiru Zhang 0.60 · backfill

Papers (56)

  1. Gate the Filter, Not the Message: Node-Channel Mixtures for Pre-Propagation GNNs cs.LG · 2026 · author #2
  2. From Human Guidance to Autonomy: Agent Skill System for End-to-End LLM Deployment on Spatial NPUs cs.LG · 2026 · author #3
  3. Revisiting Pre-Propagation GNNs: Robust Diffusion Operators and Hidden-State Re-Propagation cs.LG · 2026 · author #2
  4. AsyncSparse: Accelerating Sparse Matrix-Matrix Multiplication on Asynchronous GPU Architectures cs.DC · 2026 · author #3
  5. Dato: A Task-Based Programming Model for Dataflow Accelerators cs.PL · 2025 · author #7
  6. Characterizing and Optimizing Realistic Workloads on a Commercial Compute-in-SRAM Device cs.AR · 2025 · author #7
  7. e-boost: Boosted E-Graph Extraction with Adaptive Heuristics and Exact Solving cs.AI · 2025 · author #5
  8. Semantic Compression of 3D Objects for Open and Collaborative Virtual Worlds cs.CV · 2025 · author #4
  9. Graph Learning at Scale: Characterizing and Optimizing Pre-Propagation GNNs cs.LG · 2025 · author #3
  10. RapidStream IR: Infrastructure for FPGA High-Level Physical Synthesis cs.AR · 2024 · author #8
  11. Rapid GPU-Based Pangenome Graph Layout cs.DC · 2024 · author #9
  12. ShadowLLM: Predictor-based Contextual Sparsity for Large Language Models cs.LG · 2024 · author #4
  13. Differentiable Combinatorial Scheduling at Scale cs.LG · 2024 · author #4
  14. Learning from Students: Applying t-Distributions to Explore Accurate and Efficient Formats for LLMs cs.LG · 2024 · author #8
  15. Radial Networks: Dynamic Layer Routing for High-Performance Large Language Models cs.CL · 2024 · author #6
  16. Allo: A Programming Model for Composable Accelerator Design cs.PL · 2024 · author #6
  17. UniSparse: An Intermediate Language for General Sparse Format Customization cs.CL · 2024 · author #6
  18. Less is More: Hop-Wise Graph Attention for Scalable and Generalizable Learning on Circuits cs.LG · 2024 · author #7
  19. Polynormer: Polynomial-Expressive Graph Transformer in Linear Time cs.LG · 2024 · author #3
  20. Exploring the Limits of Semantic Image Compression at Micro-bits per Pixel cs.CV · 2024 · author #5
  21. SAGMAN: Stability Analysis of Graph Neural Networks on the Manifolds cs.LG · 2024 · author #4
  22. Trainable Fixed-Point Quantization for Deep Learning Acceleration on FPGAs cs.LG · 2024 · author #7
  23. Understanding the Potential of FPGA-Based Spatial Acceleration for Large Language Model Inference cs.LG · 2023 · author #8
  24. Comprehensive Benchmarking of Binary Neural Networks on NVM Crossbar Architectures cs.ET · 2023 · author #5
  25. FLIQS: One-Shot Mixed-Precision Floating-Point and Integer Quantization Search cs.CV · 2023 · author #7
  26. Towards Fast, Adaptive, and Hardware-Assisted User-Space Scheduling cs.DC · 2023 · author #6
  27. Slapo: A Schedule Language for Progressive Optimization of Large Deep Learning Model Training cs.LG · 2023 · author #5
  28. Binarized Neural Machine Translation cs.CL · 2023 · author #6
  29. TAPA: A Scalable Task-Parallel Dataflow Programming Framework for Modern FPGAs with Co-Optimization of HLS and Physical Design cs.AR · 2022 · author #11
  30. Analysis and Optimization of GNN-Based Recommender Systems on Persistent Memory cs.IR · 2022 · author #4
  31. Structured Pruning is All You Need for Pruning CNNs at Initialization cs.CV · 2022 · author #6
  32. Understanding Hyperdimensional Computing for Parallel Single-Pass Learning cs.LG · 2022 · author #3
  33. GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph Neural Networks cs.LG · 2022 · author #4
  34. PokeBNN: A Binary Pursuit of Lightweight Accuracy cs.LG · 2021 · author #2
  35. A Roadmap for Enabling a Future-Proof In-Network Computing Data Plane Ecosystem cs.NI · 2021 · author #9
  36. BulletTrain: Accelerating Robust Neural Network Training via Boundary Example Mining cs.LG · 2021 · author #4
  37. Dense Pruning of Pointwise Convolutions in the Frequency Domain cs.CV · 2021 · author #4
  38. Scaling Up Hardware Accelerator Verification using A-QED with Functional Decomposition cs.LO · 2021 · author #12
  39. Dagger: Accelerating RPCs in Cloud Microservices Through Tightly-Coupled Reconfigurable NICs cs.AR · 2021 · author #4
  40. Enabling Design Methodologies and Future Trends for Edge AI: Specialization and Co-design cs.AR · 2021 · author #5
  41. SPADE: A Spectral Method for Black-Box Adversarial Robustness Evaluation cs.LG · 2021 · author #5
  42. FracBNN: Accurate and FPGA-Efficient Binary Neural Networks with Fractional Activations cs.LG · 2020 · author #6
  43. Logic Synthesis Meets Machine Learning: Trading Exactness for Generalization cs.LG · 2020 · author #36
  44. GuardNN: Secure Accelerator Architecture for Privacy-Preserving Deep Learning cs.CR · 2020 · author #3
  45. FeatGraph: A Flexible and Efficient Backend for Graph Neural Network Systems cs.LG · 2020 · author #8
  46. Dagger: Towards Efficient RPCs in Cloud Microservices with Near-Memory Reconfigurable NICs cs.AR · 2020 · author #4
  47. MGX: Near-Zero Overhead Memory Protection for Data-Intensive Accelerators cs.CR · 2020 · author #3
  48. Predictable Accelerator Design with Time-Sensitive Affine Types cs.PL · 2020 · author #9
  49. Precision Gating: Improving Neural Network Efficiency with Dynamic Dual-Precision Activations cs.CV · 2020 · author #6
  50. OverQ: Opportunistic Outlier Quantization for Neural Network Accelerators cs.LG · 2019 · author #6
  51. GraphZoom: A multi-level spectral approach for accurate and scalable graph embedding cs.LG · 2019 · author #4
  52. Painting on Placement: Forecasting Routing Congestion using Conditional Generative Adversarial Nets cs.LG · 2019 · author #2
  53. Improving Neural Network Quantization without Retraining using Outlier Channel Splitting cs.LG · 2019 · author #5
  54. Building Efficient Deep Neural Networks with Unitary Group Convolutions cs.LG · 2018 · author #5
  55. Channel Gating Neural Networks cs.LG · 2018 · author #4
  56. Binarized Convolutional Neural Networks with Separable Filters for Efficient Hardware Acceleration cs.CV · 2017 · author #4

Mentions

  • 2509.06794 #7 · arxiv_oai · confidence 0.70 Zhiru Zhang
  • 2509.05451 #7 · arxiv_oai · confidence 0.70 Zhiru Zhang
  • 2508.13020 #5 · arxiv_oai · confidence 0.70 Zhiru Zhang
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  • 2410.13079 #8 · arxiv_oai · confidence 0.70 Zhiru Zhang
  • 2406.16635 #4 · arxiv_oai · confidence 0.70 Zhiru Zhang
  • 2209.02663 #11 · arxiv_oai · confidence 0.70 Zhiru Zhang
  • 2402.08653 #4 · arxiv_oai · confidence 0.70 Zhiru Zhang
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  • 2405.03103 #8 · arxiv_oai · confidence 0.70 Zhiru Zhang
  • 2308.03290 #7 · arxiv_oai · confidence 0.70 Zhiru Zhang
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  • 2008.11632 #3 · arxiv_oai · confidence 0.70 Zhiru Zhang
  • 2004.09679 #3 · arxiv_oai · confidence 0.70 Zhiru Zhang
  • 2112.00133 #2 · arxiv_oai · confidence 0.70 Zhiru Zhang
  • 2108.06081 #12 · arxiv_oai · confidence 0.70 Zhiru Zhang
  • 2109.14707 #4 · arxiv_oai · confidence 0.70 Zhiru Zhang
  • 2004.04852 #9 · arxiv_oai · confidence 0.70 Zhiru Zhang
  • 2111.04563 #9 · arxiv_oai · confidence 0.70 Zhiru Zhang
  • 2109.07707 #4 · arxiv_oai · confidence 0.70 Zhiru Zhang
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  • 2012.12206 #6 · arxiv_oai · confidence 0.70 Zhiru Zhang
  • 2012.02530 #36 · arxiv_oai · confidence 0.70 Zhiru Zhang
  • 2008.11359 #8 · arxiv_oai · confidence 0.70 Zhiru Zhang
  • 2007.08622 #4 · arxiv_oai · confidence 0.70 Zhiru Zhang
  • 2002.07136 #6 · arxiv_oai · confidence 0.70 Zhiru Zhang
  • 1805.12549 #4 · arxiv_oai · confidence 0.70 Zhiru Zhang
  • 1901.09504 #5 · arxiv_oai · confidence 0.70 Zhiru Zhang
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  • 2409.00876 #9 · arxiv_oai · confidence 0.70 Zhiru Zhang
  • 2605.25111 #2 · arxiv_oai · confidence 0.70 Zhiru Zhang

Frequent Coauthors