Zhi Yang
17 papers · 2008–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Interdisciplinary Bridge π Renaissance Researcher (5) πΊοΈ Taxonomy Completionist (11) π Conference Polyglot (7)
πΊοΈ
Taxonomy Completionist
(11)
π§
Keyword Pioneer
π
Interdisciplinary Bridge
π
Triple Crown
π
Keyword Champion
ποΈ
Keyword Collector
(94)
π
Trend Setter
π
Century Club
(17)
π₯
Unstoppable
(7)
Conferences
NIPS (6)
OSDI (5)
ICML (2)
CVPR (1)
ICLR (1)
IJCAI (1)
NAACL (1)
Top co-authors
Keywords
graph neural network
(4)
deep neural network
(3)
neural signal processing
(2)
hardware accelerator
(2)
message passing
(2)
dnn compiler
(2)
compiler optimization
(2)
feature smoothing
(2)
label propagation
(1)
neural network optimization
(1)
feature extraction
(1)
unsupervised learning
(1)
label smoothing
(1)
deep learning training
(1)
efficient inference
(1)
neural architecture search
(1)
link prediction
(1)
spike sorting
(1)
real-time spike sorting
(1)
label noise
(1)
Papers
PipeThreader: Software-Defined Pipelining for Efficient DNN Execution
OSDI 2025
FinEval: A Chinese Financial Domain Knowledge Evaluation Benchmark for Large Language Models
NAACL 2025
X-former Elucidator: Reviving Efficient Attention for Long Context Language Modeling
IJCAI 2024
Welder: Scheduling Deep Learning Memory Access via Tile-graph
OSDI 2023
Cocktailer: Analyzing and Optimizing Dynamic Control Flow in Deep Learning
OSDI 2023
Deep and Flexible Graph Neural Architecture Search
ICML 2022
SAViT: Structure-Aware Vision Transformer Pruning via Collaborative Optimization
NIPS 2022
Information Gain Propagation: a New Way to Graph Active Learning with Soft Labels
ICLR 2022
NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation Learning
ICML 2022
RIM: Reliable Influence-based Active Learning on Graphs
NIPS 2021
Node Dependent Local Smoothing for Scalable Graph Learning
NIPS 2021
HiveD: Sharing a GPU Cluster for Deep Learning with Guarantees
OSDI 2020
Rammer: Enabling Holistic Deep Learning Compiler Optimizations with rTasks
OSDI 2020
SeerNet: Predicting Convolutional Neural Network Feature-Map Sparsity Through Low-Bit Quantization
CVPR 2019
A Bio-inspired Redundant Sensing Architecture
NIPS 2016
Noise Characterization, Modeling, and Reduction for In Vivo Neural Recording
NIPS 2009
Spike Feature Extraction Using Informative Samples
NIPS 2008