Qi Xu
41 papers · 2018–2026 · 11 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (73) π Conference Polyglot Β· Gold π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Dynamic Duo
(14)
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Keyword Champion
(2)
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Grand Slam
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Topic Evolution
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Deep Specialist
(17)
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Renaissance Researcher
(7)
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Unstoppable Β· Bronze
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Prolific Year Β· Absurd
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Century Club Β· Bronze
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Keyword Collector
(209)
Venues
Top co-authors
Research topics
Deep Learning
(29)
Machine Learning
(29)
Architectures
(22)
Artificial Intelligence
(18)
Application Areas
(18)
Core AI
(16)
Computer Vision
(11)
Learning Types Β· Machine Learning
(11)
Learning Types Β· Deep Learning
(8)
Core Methods
(7)
Natural Language Processing
(4)
Analysis
(4)
Domain-Specific
(4)
Models
(4)
Optimization & Theory
(4)
Keywords
spiking neural network
(19)
knowledge distillation
(5)
attention mechanism
(4)
multimodal learning
(4)
energy efficiency
(3)
feature extraction
(3)
sparse training
(2)
synaptic plasticity
(2)
artificial neural network
(2)
class-incremental learning
(2)
representation learning
(2)
image translation
(2)
generative adversarial network
(2)
multimodal large language model
(2)
domain adaptation
(2)
continual learning
(2)
image synthesis
(2)
visual grounding
(2)
neuromorphic computing
(2)
fine-grained understanding
(2)
Papers
AVM: Towards Structure-Preserving Neural Response Modeling in the Visual Cortex Across Stimuli and Individuals
AAAI 2026
Distillation-Guided Structural Transfer for Continual Learning Beyond Sparse Distributed Memory
AAAI 2026
EditMGT: Unleashing Potentials of Masked Generative Transformers in Image Editing
CVPR 2026
Spatial-Frequency Spiking Neural Network for Underwater Object Detection
AAAI 2026
Advancing Fine-Grained Visual Understanding with Multi-Scale Alignment in Multi-Modal Models
EMNLP 2025
ALADE-SNN: Adaptive Logit Alignment in Dynamically Expandable Spiking Neural Networks for Class Incremental Learning
AAAI 2025
BIG-FUSION: Brain-Inspired Global-Local Context Fusion Framework for Multimodal Emotion Recognition in Conversations
AAAI 2025
CLEAR: A Framework Enabling Large Language Models to Discern Confusing Legal Paragraphs
EMNLP 2025
Dual Selective Gleason Pattern-Aware Multiple Instance Learning for Grade Group Prediction in Histopathology Images
MICCAI 2025
Efficient ANN-SNN Conversion with Error Compensation Learning
ICML 2025
Enhancing Graph Contrastive Learning for Protein Graphs from Perspective of Invariance
ICML 2025
FSTA-SNN:Frequency-Based Spatial-Temporal Attention Module for Spiking Neural Networks
AAAI 2025
Hybrid Spiking Vision Transformer for Object Detection with Event Cameras
ICML 2025
Improving the Sparse Structure Learning of Spiking Neural Networks from the View of Compression Efficiency
ICLR 2025
MoE-SAM: Enhancing SAM for Medical Image Segmentation with Mixture-of-Experts
MICCAI 2025
Multi-View Incremental Learning with Structured Hebbian Plasticity for Enhanced Fusion Efficiency
AAAI 2025
ODA-GAN: Orthogonal Decoupling Alignment GAN Assisted by Weakly-supervised Learning for Virtual Immunohistochemistry Staining
CVPR 2025
Predicting Radiation Therapy Response based on Dynamic Temporal Feature Difference Fusion from Longitudinal MRI
MICCAI 2025
PreP-OCR: A Complete Pipeline for Document Image Restoration and Enhanced OCR Accuracy
ACL 2025
QCRD: Quality-guided Contrastive Rationale Distillation for Large Language Models
EMNLP 2025
Self-cross Feature based Spiking Neural Networks for Efficient Few-shot Learning
ICML 2025
SpikingYOLOX: Improved YOLOX Object Detection with Fast Fourier Convolution and Spiking Neural Networks
AAAI 2025
STAA-SNN: Spatial-Temporal Attention Aggregator for Spiking Neural Networks
CVPR 2025
Temporal Separation with Entropy Regularization for Knowledge Distillation in Spiking Neural Networks
CVPR 2025
TS-SNN: Temporal Shift Module for Spiking Neural Networks
ICML 2025
UnifiedMLLM: Enabling Unified Representation for Multi-modal Multi-tasks With Large Language Model
NAACL 2025
Adaptive deep spiking neural network with global-local learning via balanced excitatory and inhibitory mechanism
ICLR 2024
Differentially Private Data Release for Mixed-type Data via Latent Factor Models
JMLR 2024
Divide and Conquer: Legal Concept-guided Criminal Court View Generation
EMNLP 2024
Efficient Spiking Neural Networks with Sparse Selective Activation for Continual Learning
AAAI 2024
GroundingGPT: Language Enhanced Multi-modal Grounding Model
ACL 2024
Through the MUD: A Multi-Defendant Charge Prediction Benchmark with Linked Crime Elements
ACL 2024
Towards efficient deep spiking neural networks construction with spiking activity based pruning
ICML 2024
Constructing Deep Spiking Neural Networks From Artificial Neural Networks With Knowledge Distillation
CVPR 2023
EICIL: Joint Excitatory Inhibitory Cycle Iteration Learning for Deep Spiking Neural Networks
NeurIPS 2023
Enhancing Adaptive History Reserving by Spiking Convolutional Block Attention Module in Recurrent Neural Networks
NeurIPS 2023
ESL-SNNs: An Evolutionary Structure Learning Strategy for Spiking Neural Networks
AAAI 2023
DIRL: Domain-Invariant Representation Learning for Generalizable Semantic Segmentation
AAAI 2022
An Intelligent Assistant for Problem Behavior Management
AAAI 2021
SketchyCOCO: Image Generation From Freehand Scene Sketches
CVPR 2020
CSNN: An Augmented Spiking based Framework with Perceptron-Inception
IJCAI 2018