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← Authors

Qi Xu

40 papers · 2018–2026 · 11 conferences · across top CS/AI conferences

Achievements

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+11 more ↓ 🏃 Academic Marathon (7) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (11) 🐝 Cross-Pollinator (13)
🐣 Hot Topic Early Bird 🌍 Conference Polyglot (11) 🏃 Academic Marathon (7) 🤝 Dynamic Duo (14) 🏆 Grand Slam 🔬 Deep Specialist (12) 🧬 Topic Evolution ⚡ Prolific Year (7) 💎 Century Club (37) 🔥 Unstoppable (6) 🗃️ Keyword Collector (171)

Conferences

AAAI (12) ICML (6) CVPR (5) EMNLP (4) ACL (3) MICCAI (3) ICLR (2) NIPS (2) IJCAI (1) JMLR (1) NAACL (1)

Top co-authors

Jiangrong Shen (14) Gang Pan (10) Huajin Tang (7) Yaxin Li (6) Hongming Xu (5) Xuming Ran (5) Qiang Zhang (5) Mingkun Xu (4) Fengyu Cong (4) Yi Xu (4)

Research topics

Differential Privacy (1)

Keywords

spiking neural network (12) knowledge distillation (5) attention mechanism (4) feature extraction (3) energy efficiency (3) multi-modal learning (3) large language model (2) artificial neural network (2) spatial-temporal attention (2) image translation (2) representation learning (2) generative adversarial network (2) fine-grained understanding (2) class incremental learning (2) visual grounding (2) neuromorphic computing (2) domain adaptation (2) continual learning (2) image synthesis (2) transfer learning (1)

Papers

Spatial-Frequency Spiking Neural Network for Underwater Object Detection AAAI 2026 Distillation-Guided Structural Transfer for Continual Learning Beyond Sparse Distributed Memory AAAI 2026 AVM: Towards Structure-Preserving Neural Response Modeling in the Visual Cortex Across Stimuli and Individuals AAAI 2026 Advancing Fine-Grained Visual Understanding with Multi-Scale Alignment in Multi-Modal Models EMNLP 2025 ODA-GAN: Orthogonal Decoupling Alignment GAN Assisted by Weakly-supervised Learning for Virtual Immunohistochemistry Staining CVPR 2025 Temporal Separation with Entropy Regularization for Knowledge Distillation in Spiking Neural Networks CVPR 2025 STAA-SNN: Spatial-Temporal Attention Aggregator for Spiking Neural Networks CVPR 2025 QCRD: Quality-guided Contrastive Rationale Distillation for Large Language Models EMNLP 2025 CLEAR: A Framework Enabling Large Language Models to Discern Confusing Legal Paragraphs EMNLP 2025 Improving the Sparse Structure Learning of Spiking Neural Networks from the View of Compression Efficiency ICLR 2025 Efficient ANN-SNN Conversion with Error Compensation Learning ICML 2025 Enhancing Graph Contrastive Learning for Protein Graphs from Perspective of Invariance ICML 2025 Hybrid Spiking Vision Transformer for Object Detection with Event Cameras ICML 2025 Self-cross Feature based Spiking Neural Networks for Efficient Few-shot Learning ICML 2025 TS-SNN: Temporal Shift Module for Spiking Neural Networks ICML 2025 Dual Selective Gleason Pattern-Aware Multiple Instance Learning for Grade Group Prediction in Histopathology Images MICCAI 2025 MoE-SAM: Enhancing SAM for Medical Image Segmentation with Mixture-of-Experts MICCAI 2025 Predicting Radiation Therapy Response based on Dynamic Temporal Feature Difference Fusion from Longitudinal MRI MICCAI 2025 UnifiedMLLM: Enabling Unified Representation for Multi-modal Multi-tasks With Large Language Model NAACL 2025 Multi-View Incremental Learning with Structured Hebbian Plasticity for Enhanced Fusion Efficiency AAAI 2025 SpikingYOLOX: Improved YOLOX Object Detection with Fast Fourier Convolution and Spiking Neural Networks AAAI 2025 BIG-FUSION: Brain-Inspired Global-Local Context Fusion Framework for Multimodal Emotion Recognition in Conversations AAAI 2025 ALADE-SNN: Adaptive Logit Alignment in Dynamically Expandable Spiking Neural Networks for Class Incremental Learning AAAI 2025 FSTA-SNN:Frequency-Based Spatial-Temporal Attention Module for Spiking Neural Networks AAAI 2025 PreP-OCR: A Complete Pipeline for Document Image Restoration and Enhanced OCR Accuracy ACL 2025 Differentially Private Data Release for Mixed-type Data via Latent Factor Models JMLR 2024 Efficient Spiking Neural Networks with Sparse Selective Activation for Continual Learning AAAI 2024 Divide and Conquer: Legal Concept-guided Criminal Court View Generation EMNLP 2024 Adaptive deep spiking neural network with global-local learning via balanced excitatory and inhibitory mechanism ICLR 2024 Through the MUD: A Multi-Defendant Charge Prediction Benchmark with Linked Crime Elements ACL 2024 GroundingGPT: Language Enhanced Multi-modal Grounding Model 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 NIPS 2023 Enhancing Adaptive History Reserving by Spiking Convolutional Block Attention Module in Recurrent Neural Networks NIPS 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