Zhiru Zhang
16 papers · 2019–2024 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌉 Interdisciplinary Bridge · Bronze 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🐣 Hot Topic Early Bird 🗺️ Taxonomy Completionist (26)
🔬
Deep Specialist
(10)
💎
Century Club · Bronze
⚡
Prolific Year · Productive
🗃️
Keyword Collector
(83)
🔥
Unstoppable · Bronze
Top co-authors
Research topics
Machine Learning
(13)
Deep Learning
(10)
Application Areas
(10)
Artificial Intelligence
(7)
Core AI · Artificial Intelligence
(7)
Optimization & Theory · Machine Learning
(7)
Architectures
(5)
Techniques
(4)
Optimization & Theory · Deep Learning
(3)
Learning Types
(2)
Computer Vision
(1)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Applications
(1)
Core AI · Computer Vision
(1)
Keywords
model compression
(5)
efficient computing
(2)
graph embedding
(2)
convolutional neural network
(2)
adversarial training
(2)
adversarial robustness
(2)
spectral method
(2)
hardware acceleration
(2)
neural network optimization
(2)
graph representation
(1)
model architecture
(1)
adversarial learning
(1)
quantization
(1)
data augmentation
(1)
machine translation
(1)
neural network pruning
(1)
message passing
(1)
energy efficiency
(1)
gradient descent
(1)
knowledge distillation
(1)
Papers
Differentiable Combinatorial Scheduling at Scale
ICML 2024
FLIQS: One-Shot Mixed-Precision Floating-Point and Integer Quantization Search
AutoML 2024
Learning from Students: Applying t-Distributions to Explore Accurate and Efficient Formats for LLMs
ICML 2024
Polynormer: Polynomial-Expressive Graph Transformer in Linear Time
ICLR 2024
Sabre: Hardware-Accelerated Snapshot Compression for Serverless MicroVMs
OSDI 2024
ShadowLLM: Predictor-based Contextual Sparsity for Large Language Models
EMNLP 2024
Binarized Neural Machine Translation
NeurIPS 2023
PokeBNN: A Binary Pursuit of Lightweight Accuracy
CVPR 2022
Understanding Hyperdimensional Computing for Parallel Single-Pass Learning
NeurIPS 2022
BulletTrain: Accelerating Robust Neural Network Training via Boundary Example Mining
NeurIPS 2021
SPADE: A Spectral Method for Black-Box Adversarial Robustness Evaluation
ICML 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
Building Efficient Deep Neural Networks With Unitary Group Convolutions
CVPR 2019
Channel Gating Neural Networks
NeurIPS 2019
Improving Neural Network Quantization without Retraining using Outlier Channel Splitting
ICML 2019