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Yufei Guo

21 papers · 2021–2026 · 7 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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+8 more ↓ πŸ—ΊοΈ Taxonomy Completionist (33) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
πŸ† Keyword Champion (2) 🀝 Dynamic Duo (16) πŸ”¬ Deep Specialist (11) πŸ† Grand Slam ⚑ Prolific Year Β· Productive πŸ”₯ Unstoppable Β· Bronze πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (87)

Venues

AAAI (5) NeurIPS (5) CVPR (4) ICCV (3) ECCV (2) ICLR (1) ICML (1)

Top co-authors

Zhe Ma (16) Yuanpei Chen (15) Xiaode Liu (13) Xuhui Huang (12) Yuhan Zhang (9) Weihang Peng (9) Liwen Zhang (7) Xin Tong (4) Zhou Jie (3) Xinyi Tong (3)

Research topics

Deep Learning (16) Machine Learning (15) Architectures (15) Computer Vision (7) Analysis (7) Optimization & Theory Β· Machine Learning (7) Application Areas (6) Artificial Intelligence (5) Core AI (5) Learning Types Β· Deep Learning (3) Learning Types Β· Machine Learning (3) Optimization & Theory Β· Deep Learning (3) Techniques (3) Core Methods (2) Computer Science (1)

Keywords

spiking neural network (12) surrogate gradient (4) energy efficiency (3) transformer architecture (3) binary spike (2) membrane potential (2) quantization error (2) neuromorphic computing (2) binary spike activation (2) re-parameterization technique (2) energy-efficient computing (2) question answering (1) self-attention mechanism (1) bipartite matching (1) kl divergence (1) batch normalization (1) neural network training (1) representation learning (1) knowledge distillation (1) oriented object detection (1)

Papers

Hilbert Curve-Encoded Rotation-Equivariant Oriented Object Detector with Locality-Preserving Spatial Mapping AAAI 2026 Improving Transformer Based Line Segment Detection with Matched Predicting and Re-ranking AAAI 2025 ReverB-SNN: Reversing Bit of the Weight and Activation for Spiking Neural Networks ICML 2025 Spiking Transformer: Introducing Accurate Addition-Only Spiking Self-Attention for Transformer CVPR 2025 Synergistic Prompting for Robust Visual Recognition with Missing Modalities ICCV 2025 End-to-End Real-Time Vanishing Point Detection with Transformer AAAI 2024 Enhancing Representation of Spiking Neural Networks via Similarity-Sensitive Contrastive Learning AAAI 2024 EnOF-SNN: Training Accurate Spiking Neural Networks via Enhancing the Output Feature NeurIPS 2024 Take A Shortcut Back: Mitigating the Gradient Vanishing for Training Spiking Neural Networks NeurIPS 2024 Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks AAAI 2024 Towards Understanding Factual Knowledge of Large Language Models ICLR 2024 Deep Dive Into Gradients: Better Optimization for 3D Object Detection With Gradient-Corrected IoU Supervision CVPR 2023 Membrane Potential Batch Normalization for Spiking Neural Networks ICCV 2023 PeakConv: Learning Peak Receptive Field for Radar Semantic Segmentation CVPR 2023 RMP-Loss: Regularizing Membrane Potential Distribution for Spiking Neural Networks ICCV 2023 Spiking PointNet: Spiking Neural Networks for Point Clouds NeurIPS 2023 IM-Loss: Information Maximization Loss for Spiking Neural Networks NeurIPS 2022 Real Spike: Learning Real-Valued Spikes for Spiking Neural Networks ECCV 2022 RecDis-SNN: Rectifying Membrane Potential Distribution for Directly Training Spiking Neural Networks CVPR 2022 Reducing Information Loss for Spiking Neural Networks ECCV 2022 Differentiable Spike: Rethinking Gradient-Descent for Training Spiking Neural Networks NeurIPS 2021