Yufei Ding
14 papers · 2015–2026 · 7 venues · across top CS/AI venues
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Achievements
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Grand Slam
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Renaissance Researcher
(7)
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Century Club Β· Bronze
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Trend Setter
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(74)
Top co-authors
Research topics
Deep Learning
(11)
Machine Learning
(10)
Application Areas
(7)
Architectures
(5)
Artificial Intelligence
(4)
Computer Science
(3)
Core AI
(3)
Learning Types
(3)
Techniques
(3)
Robotics
(2)
Optimization & Theory Β· Deep Learning
(2)
Optimization & Theory Β· Machine Learning
(2)
Systems
(2)
Data Science & Analytics
(1)
Interdisciplinary
(1)
Keywords
graph neural network
(3)
sim-to-real transfer
(2)
adversarial attack
(2)
vision transformer
(1)
dexterous grasping
(1)
k-means clustering
(1)
attention mechanism
(1)
self-supervised learning
(1)
recurrent neural network
(1)
automatic speech recognition
(1)
computational efficiency
(1)
synthetic data generation
(1)
robotics control
(1)
robot control
(1)
generative model
(1)
uncertainty quantification
(1)
spiking neural network
(1)
convolutional neural network
(1)
imitation learning
(1)
reinforcement learning
(1)
Papers
Syncopate: Efficient Multi-GPU AI Kernels via Automatic Chunk-Centric Compute-Communication Overlap
OSDI 2026
KPerfIR: Towards a Open and Compiler-centric Ecosystem for GPU Kernel Performance Tooling on Modern AI Workloads
OSDI 2025
Mutual Effort for Efficiency: A Similarity-based Token Pruning for Vision Transformers in Self-Supervised Learning
ICLR 2025
RoboVerse: A Unified Platform, Benchmark and Dataset for Scalable and Generalizable Robot Learning
RSS 2025
WLB-LLM: Workload-Balanced 4D Parallelism for Large Language Model Training
OSDI 2025
DexGraspNet 2.0: Learning Generative Dexterous Grasping in Large-scale Synthetic Cluttered Scenes
CoRL 2024
MGG: Accelerating Graph Neural Networks with Fine-Grained Intra-Kernel Communication-Computation Pipelining on Multi-GPU Platforms
OSDI 2023
Biologically Inspired Dynamic Thresholds for Spiking Neural Networks
NeurIPS 2022
GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs
OSDI 2021
UAG: Uncertainty-aware Attention Graph Neural Network for Defending Adversarial Attacks
AAAI 2021
Boosting Deep Neural Network Efficiency with Dual-Module Inference
ICML 2020
Weighted-Sampling Audio Adversarial Example Attack
AAAI 2020
Dynamic Sparse Graph for Efficient Deep Learning
ICLR 2019
Yinyang K-Means: A Drop-In Replacement of the Classic K-Means with Consistent Speedup
ICML 2015