Guoqi Li
31 papers · 2018–2026 · 9 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (9) π Academic Marathon (7) π§ Keyword Pioneer π Interdisciplinary Bridge π£ Hot Topic Early Bird
π§
Keyword Pioneer
π
Cross-Pollinator
(13)
πΊοΈ
Taxonomy Completionist
(39)
π€
Dynamic Duo
(12)
π
Triple Crown
π
Grand Slam
π¬
Deep Specialist
(12)
π
Keyword Champion
(8)
π
Conference Pioneer
ποΈ
Keyword Collector
(98)
β‘
Prolific Year
(9)
π₯
Unstoppable
(8)
π
Century Club
(29)
Conferences
AAAI (8)
NIPS (5)
ICLR (4)
ICML (4)
ACL (3)
ICCV (3)
IJCAI (2)
CVPR (1)
ECCV (1)
Top co-authors
Keywords
spiking neural network
(14)
energy efficiency
(8)
neuromorphic hardware
(4)
transformer architecture
(3)
image classification
(2)
attention mechanism
(2)
direct training
(2)
neural network optimization
(2)
graph neural network
(2)
neuromorphic computing
(2)
temporal attention
(2)
neuron normalization
(2)
object detection
(1)
graph learning
(1)
semantic segmentation
(1)
human activity recognition
(1)
temporal dynamics
(1)
zero-shot learning
(1)
model quantization
(1)
emotion recognition
(1)
Papers
EfficientLLM: Unified Pruning-Aware Pretraining for Auto-Designed Compact Language Models
ACL 2026
SpikingIR: A Novel Converted Spiking Neural Network for Efficient Image Restoration
AAAI 2026
Efficient 3D Recognition with Event-driven Spike Sparse Convolution
AAAI 2025
SpikeVideoFormer: An Efficient Spike-Driven Video Transformer with Hamming Attention and $\mathcalO(T)$ Complexity
ICML 2025
Spike2Former: Efficient Spiking Transformer for High-performance Image Segmentation
AAAI 2025
SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spiking
ICLR 2025
MVA: Linear Attention with High-order Query-Keys Integration and Multi-level Vocabulary Decomposition
ICML 2025
MMDEND: Dendrite-Inspired Multi-Branch Multi-Compartment Parallel Spiking Neuron for Sequence Modeling
ACL 2025
BIG-FUSION: Brain-Inspired Global-Local Context Fusion Framework for Multimodal Emotion Recognition in Conversations
AAAI 2025
Integer-Valued Training and Spike-driven Inference Spiking Neural Network for High-performance and Energy-efficient Object Detection
ECCV 2024
Spiking Transformer with Experts Mixture
NIPS 2024
MetaLA: Unified Optimal Linear Approximation to Softmax Attention Map
NIPS 2024
Gated Attention Coding for Training High-Performance and Efficient Spiking Neural Networks
AAAI 2024
HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors
AAAI 2024
SpikeVoice: High-Quality Text-to-Speech Via Efficient Spiking Neural Network
ACL 2024
Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips
ICLR 2024
High-Performance Temporal Reversible Spiking Neural Networks with $\mathcalO(L)$ Training Memory and $\mathcalO(1)$ Inference Cost
ICML 2024
SpikeLM: Towards General Spike-Driven Language Modeling via Elastic Bi-Spiking Mechanisms
ICML 2024
Inherent Redundancy in Spiking Neural Networks
ICCV 2023
Spike-driven Transformer
NIPS 2023
Deep Directly-Trained Spiking Neural Networks for Object Detection
ICCV 2023
Survey on Graph Neural Network Acceleration: An Algorithmic Perspective
IJCAI 2022
Learning To Prompt for Open-Vocabulary Object Detection With Vision-Language Model
CVPR 2022
Exploiting Spiking Dynamics with Spatial-temporal Feature Normalization in Graph Learning
IJCAI 2021
Temporal-Wise Attention Spiking Neural Networks for Event Streams Classification
ICCV 2021
Going Deeper With Directly-Trained Larger Spiking Neural Networks
AAAI 2021
Restoring Negative Information in Few-Shot Object Detection
NIPS 2020
Dynamic Sparse Graph for Efficient Deep Learning
ICLR 2019
Direct Training for Spiking Neural Networks: Faster, Larger, Better
AAAI 2019
Training and Inference with Integers in Deep Neural Networks
ICLR 2018
HitNet: Hybrid Ternary Recurrent Neural Network
NIPS 2018