Wei Fang
29 papers · 2016–2026 · 14 conferences · across top CS/AI conferences
Achievements
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(56)
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(25)
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(10)
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(26)
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Keyword Collector
(118)
Conferences
NIPS (5)
AAAI (3)
ACL (3)
ICLR (3)
CVPR (2)
EMNLP (2)
ICCV (2)
ICML (2)
MICCAI (2)
COLING (1)
CONLL (1)
EACL (1)
IJCAI (1)
NAACL (1)
Top co-authors
Keywords
spiking neural network
(7)
neuromorphic computing
(3)
medical imaging
(3)
image classification
(2)
text classification
(2)
zero-shot learning
(2)
computed tomography
(2)
deep learning
(2)
open-domain question answering
(2)
passage retrieval
(2)
adversarial learning
(1)
temporal coding
(1)
natural language processing
(1)
domain adaptation
(1)
image segmentation
(1)
local attention
(1)
stance detection
(1)
image generation
(1)
attention mechanism
(1)
adversarial robustness
(1)
Papers
Parallel Training Time-to-First-Spike Spiking Neural Networks
AAAI 2026
FIA-Edit: Frequency-Interactive Attention for Efficient and High-Fidelity Inversion-Free Text-Guided Image Editing
AAAI 2026
RouterNet: Hierarchical Point Routing Network for Robust Vertebral Landmark Localization on AP X-ray Images
AAAI 2026
PLAY2PROMPT: Zero-shot Tool Instruction Optimization for LLM Agents via Tool Play
ACL 2025
Anatomy-Aware Low-Dose CT Denoising via Pretrained Vision Models and Semantic-Guided Contrastive Learning
MICCAI 2025
Differential Coding for Training-Free ANN-to-SNN Conversion
ICML 2025
MaRS: A Fast Sampler for Mean Reverting Diffusion based on ODE and SDE Solvers
ICLR 2025
Joint Pre-Encoding Representation and Structure Embedding for Efficient and Low-Resource Knowledge Graph Completion
EMNLP 2024
CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data
CVPR 2024
Joint Inference of Retrieval and Generation for Passage Re-ranking
EACL 2024
Noise Removed Inconsistency Activation Map for Unsupervised Registration of Brain Tumor MRI between Pre-operative and Follow-up Phases
MICCAI 2024
Exploring Loss Functions for Time-based Training Strategy in Spiking Neural Networks
NIPS 2023
A Unified Framework for Soft Threshold Pruning
ICLR 2023
ConvRGX: Recognition, Generation, and Extraction for Self-trained Conversational Question Answering
ACL 2023
Expand, Rerank, and Retrieve: Query Reranking for Open-Domain Question Answering
ACL 2023
Parallel Spiking Neurons with High Efficiency and Ability to Learn Long-term Dependencies
NIPS 2023
CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans
ICCV 2023
State Transition of Dendritic Spines Improves Learning of Sparse Spiking Neural Networks
ICML 2022
Training Spiking Neural Networks with Event-driven Backpropagation
NIPS 2022
Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks
ICLR 2022
Neuron with Steady Response Leads to Better Generalization
NIPS 2022
Where to Attack: A Dynamic Locator Model for Backdoor Attack in Text Classifications
COLING 2022
Pruning of Deep Spiking Neural Networks through Gradient Rewiring
IJCAI 2021
Incorporating Learnable Membrane Time Constant To Enhance Learning of Spiking Neural Networks
ICCV 2021
Deep Residual Learning in Spiking Neural Networks
NIPS 2021
FAKTA: An Automatic End-to-End Fact Checking System
NAACL 2019
Neural Multi-Task Learning for Stance Prediction
EMNLP 2019
Multi-Label Zero-Shot Learning With Structured Knowledge Graphs
CVPR 2018
Entity Disambiguation by Knowledge and Text Jointly Embedding
CONLL 2016