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Yuhan Zhang

19 papers · 2020–2026 · 8 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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+6 more ↓ πŸ—ΊοΈ Taxonomy Completionist (37) πŸƒ Academic Marathon Β· Sprint 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Bronze 🐣 Hot Topic Early Bird
🧬 Topic Evolution πŸš€ Conference Pioneer ❓ The Questioner ⚑ Prolific Year Β· Productive πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (69)

Venues

AAAI (4) MICCAI (4) CVPR (3) NeurIPS (3) ICCV (2) CoNLL (1) ECCV (1) ICML (1)

Top co-authors

Weihang Peng (9) Yuanpei Chen (9) Zhe Ma (9) Xiaode Liu (9) Yufei Guo (9) Xuhui Huang (4) Zhou Jie (3) Kun Huang (2) Liwen Zhang (2) Yichen Wei (2)

Research topics

Machine Learning (13) Deep Learning (12) Architectures (9) Application Areas (7) Learning Types Β· Deep Learning (5) Artificial Intelligence (4) Core AI (4) Optimization & Theory Β· Machine Learning (4) Computer Vision (3) Analysis (3) Core Methods (3) Learning Types Β· Machine Learning (2) Optimization & Theory Β· Deep Learning (2) Natural Language Processing (1) Reinforcement Learning (1)

Keywords

spiking neural network (9) energy efficiency (3) re-parameterization technique (2) loss function (2) membrane potential (2) binary spike activation (2) metric learning (2) energy-efficient computing (2) binary spike (2) reinforcement learning (1) temporal coding (1) domain generalization (1) embedding learning (1) knowledge distillation (1) contrastive learning (1) transformer architecture (1) self-attention mechanism (1) face recognition (1) neural network training (1) image classification (1)

Papers

Multi-dimensional Neural Decoding with Orthogonal Representations for Brain-Computer Interfaces AAAI 2026 Efficient Reinforcement Learning Through Adaptively Pretrained Visual Encoder AAAI 2025 Medical-Knowledge Driven Multiple Instance Learning for Classifying Severe Abdominal Anomalies on Prenatal Ultrasound MICCAI 2025 MTCNet: Motion and Topology Consistency Guided Learning for Mitral Valve Segmentation in 4D Ultrasound MICCAI 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 Coarse-to-Fine Latent Diffusion Model for Glaucoma Forecast on Sequential Fundus Images MICCAI 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 GarmentCodeData: A Dataset of 3D Made-to-Measure Garments With Sewing Patterns ECCV 2024 Memory-efficient High-resolution OCT Volume Synthesis with Cascaded Amortized Latent Diffusion Models MICCAI 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 Can Language Models Be Tricked by Language Illusions? Easier with Syntax, Harder with Semantics CoNLL 2023 Membrane Potential Batch Normalization for Spiking Neural Networks ICCV 2023 RMP-Loss: Regularizing Membrane Potential Distribution for Spiking Neural Networks ICCV 2023 Spiking PointNet: Spiking Neural Networks for Point Clouds NeurIPS 2023 Dynamic Metric Learning: Towards a Scalable Metric Space To Accommodate Multiple Semantic Scales CVPR 2021 Circle Loss: A Unified Perspective of Pair Similarity Optimization CVPR 2020