Malu Zhang
29 papers · 2019–2026 · 11 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (6) π Interdisciplinary Bridge π Conference Polyglot (11) π§ Keyword Pioneer π Cross-Pollinator (11)
π
Cross-Pollinator
(11)
π
Renaissance Researcher
(7)
πΊοΈ
Taxonomy Completionist
(47)
π¬
Deep Specialist
(16)
π
Keyword Champion
(2)
π€
Dynamic Duo
(11)
π
Grand Slam
π
Century Club
(26)
ποΈ
Keyword Collector
(116)
π₯
Unstoppable
(5)
π
Conference Pioneer
β‘
Prolific Year
(7)
Conferences
AAAI (11)
IJCAI (4)
ICLR (3)
CVPR (2)
INTERSPEECH (2)
NIPS (2)
ACL (1)
COLING (1)
ECCV (1)
ICCV (1)
ICML (1)
Top co-authors
Keywords
spiking neural network
(15)
neuromorphic computing
(7)
energy efficiency
(6)
attention mechanism
(4)
model compression
(3)
transformer architecture
(2)
event-driven computing
(2)
speech recognition
(2)
model binarization
(2)
ann-to-snn conversion
(2)
knowledge distillation
(2)
event argument extraction
(2)
edge computing
(2)
event camera
(1)
self-attention mechanism
(1)
video generation
(1)
visual processing
(1)
contrastive learning
(1)
sound source localization
(1)
information extraction
(1)
Papers
Towards Training-Free and Accurate ANN-to-SNN Conversion via Activation-Aware Redistribution
AAAI 2026
HardF-SNN: Hardware-Friendly Quantization for Spiking Neural Networks with Efficient Integer-Arithmetic-Only Inference
AAAI 2026
Training-Free ANN-to-SNN Conversion for High-Performance Spiking Transformers
AAAI 2026
Spiking Vision Transformer with Saccadic Attention
ICLR 2025
QP-SNN: Quantized and Pruned Spiking Neural Networks
ICLR 2025
Towards Accurate Binary Spiking Neural Networks: Learning with Adaptive Gradient Modulation Mechanism
AAAI 2025
Advancing Spiking Neural Networks Towards Multiscale Spatiotemporal Interaction Learning
AAAI 2025
Leveraging Asynchronous Spiking Neural Networks for Ultra Efficient Event-Based Visual Processing
AAAI 2025
A Compressive Memory-based Retrieval Approach for Event Argument Extraction
COLING 2025
Rethinking Spiking Self-Attention Mechanism: Implementing a-XNOR Similarity Calculation in Spiking Transformers
CVPR 2025
Binary Event-Driven Spiking Transformer
IJCAI 2025
BSO: Binary Spiking Online Optimization Algorithm
ICML 2025
Quantized Spike-driven Transformer
ICLR 2025
Raindrop Clarity: A Dual-Focused Dataset for Day and Night Raindrop Removal
ECCV 2024
Spike-based Neuromorphic Model for Sound Source Localization
NIPS 2024
Restoring Speaking Lips from Occlusion for Audio-Visual Speech Recognition
AAAI 2024
A Comprehensive Analysis of the Effectiveness of Large Language Models as Automatic Dialogue Evaluators
AAAI 2024
Beyond Single-Event Extraction: Towards Efficient Document-Level Multi-Event Argument Extraction
ACL 2024
LitE-SNN: Designing Lightweight and Efficient Spiking Neural Network through Spatial-Temporal Compressive Network Search and Joint Optimization
IJCAI 2024
Global-Local Convolution with Spiking Neural Networks for Energy-efficient Keyword Spotting
INTERSPEECH 2024
Substructure Aware Graph Neural Networks
AAAI 2023
Spatial-Temporal Self-Attention for Asynchronous Spiking Neural Networks
IJCAI 2023
Temporal-Coded Spiking Neural Networks with Dynamic Firing Threshold: Learning with Event-Driven Backpropagation
ICCV 2023
Seeing What You Said: Talking Face Generation Guided by a Lip Reading Expert
CVPR 2023
Signed Neuron with Memory: Towards Simple, Accurate and High-Efficient ANN-SNN Conversion
IJCAI 2022
Training Spiking Neural Networks with Local Tandem Learning
NIPS 2022
Deep Spiking Neural Network with Neural Oscillation and Spike-Phase Information
AAAI 2021
Robust Sound Recognition: A Neuromorphic Approach
INTERSPEECH 2019
MPD-AL: An Efficient Membrane Potential Driven Aggregate-Label Learning Algorithm for Spiking Neurons
AAAI 2019