Lei Deng
13 papers · 2018–2026 · 8 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (7) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (8) 🐣 Hot Topic Early Bird
🌍
Conference Polyglot
(8)
🏃
Academic Marathon
(7)
🧭
Keyword Pioneer
🧬
Topic Evolution
🏆
Grand Slam
🗃️
Keyword Collector
(70)
💎
Century Club
(12)
🔥
Unstoppable
(5)
🚀
Conference Pioneer
Conferences
AAAI (3)
NIPS (3)
IJCAI (2)
ACL (1)
CVPR (1)
ICLR (1)
ICML (1)
OSDI (1)
Top co-authors
Research topics
Keywords
spiking neural network
(4)
neuromorphic hardware
(2)
recurrent neural network
(2)
model compression
(2)
graph neural network
(2)
direct training
(2)
bayesian inference
(1)
adversarial robustness
(1)
model quantization
(1)
batch normalization
(1)
question answering
(1)
information retrieval
(1)
test-time adaptation
(1)
temporal information
(1)
in-context learning
(1)
image classification
(1)
posterior estimation
(1)
graph learning
(1)
distribution shift
(1)
computational efficiency
(1)
Papers
Hierarchical Structure-Property Alignment for Data-Efficient Molecular Generation and Editing
AAAI 2026
Bayesian Test-Time Adaptation for Vision-Language Models
CVPR 2025
Extending Context Window of Large Language Models via Semantic Compression
ACL 2024
Survey on Graph Neural Network Acceleration: An Algorithmic Perspective
IJCAI 2022
Toward Robust Spiking Neural Network Against Adversarial Perturbation
NIPS 2022
Going Deeper With Directly-Trained Larger Spiking Neural Networks
AAAI 2021
Exploiting Spiking Dynamics with Spatial-temporal Feature Normalization in Graph Learning
IJCAI 2021
GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs
OSDI 2021
Boosting Deep Neural Network Efficiency with Dual-Module Inference
ICML 2020
Dynamic Sparse Graph for Efficient Deep Learning
ICLR 2019
Direct Training for Spiking Neural Networks: Faster, Larger, Better
AAAI 2019
HitNet: Hybrid Ternary Recurrent Neural Network
NIPS 2018
TETRIS: TilE-matching the TRemendous Irregular Sparsity
NIPS 2018