Zhiru Zhang

16 papers · 2019–2024 · 7 conferences · across top CS/AI conferences

Achievements

+8 more ↓

🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (7) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (5)

🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (7) 🏃 Academic Marathon (5) 🗃️ Keyword Collector (50) 📈 Trend Setter 💎 Century Club (16) 🔥 Unstoppable (6) ⚡ Prolific Year (6)

Conferences

ICML (4) NIPS (4) ICLR (3) CVPR (2) AUTOML (1) EMNLP (1) OSDI (1)

Top co-authors

Yichi Zhang (5) Jordan Dotzel (5) Ritchie Zhao (3) Chenhui Deng (3) G. Edward Suh (3) Weizhe Hua (3) Yuwei Hu (2) Mohamed S Abdelfattah (2) Christopher M De Sa (2) Gang Wu (2)

Keywords

model compression (5) convolutional neural network (2) hardware acceleration (2) adversarial robustness (2) neural network optimization (2) efficient computing (2) adversarial training (2) machine translation (1) knowledge distillation (1) neural network pruning (1) deep neural network (1) computational efficiency (1) energy efficiency (1) graph embedding (1) model architecture (1) adversarial attack (1) similarity matrix (1) spectral method (1) data augmentation (1) adversarial learning (1)

Papers

Polynormer: Polynomial-Expressive Graph Transformer in Linear Time ICLR 2024 FLIQS: One-Shot Mixed-Precision Floating-Point and Integer Quantization Search AUTOML 2024 Sabre: Hardware-Accelerated Snapshot Compression for Serverless MicroVMs OSDI 2024 ShadowLLM: Predictor-based Contextual Sparsity for Large Language Models EMNLP 2024 Differentiable Combinatorial Scheduling at Scale ICML 2024 Learning from Students: Applying t-Distributions to Explore Accurate and Efficient Formats for LLMs ICML 2024 Binarized Neural Machine Translation NIPS 2023 Understanding Hyperdimensional Computing for Parallel Single-Pass Learning NIPS 2022 PokeBNN: A Binary Pursuit of Lightweight Accuracy CVPR 2022 SPADE: A Spectral Method for Black-Box Adversarial Robustness Evaluation ICML 2021 BulletTrain: Accelerating Robust Neural Network Training via Boundary Example Mining NIPS 2021 GraphZoom: A Multi-level Spectral Approach for Accurate and Scalable Graph Embedding ICLR 2020 Precision Gating: Improving Neural Network Efficiency with Dynamic Dual-Precision Activations ICLR 2020 Improving Neural Network Quantization without Retraining using Outlier Channel Splitting ICML 2019 Channel Gating Neural Networks NIPS 2019 Building Efficient Deep Neural Networks With Unitary Group Convolutions CVPR 2019