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Xuhui Huang

17 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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+6 more ↓ 🗺️ Taxonomy Completionist (35) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
🤝 Dynamic Duo (13) 👥 Mega-Team · Squad ⚡ Prolific Year · Productive 💎 Century Club · Bronze 🗃️ Keyword Collector (67) 🔥 Unstoppable · Bronze

Venues

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

Top co-authors

Zhe Ma (13) Yufei Guo (12) Yuanpei Chen (10) Xiaode Liu (8) Liwen Zhang (7) Weihang Peng (4) Yuhan Zhang (4) Xinyi Tong (3) Yinglei Wang (3) Vishal Dey (2)

Research topics

Deep Learning (12) Machine Learning (12) Architectures (10) Computer Vision (5) Analysis (5) Learning Types (5) Optimization & Theory (5) Artificial Intelligence (4) Application Areas (4) Core AI (3) Natural Language Processing (2) Core Methods (2) Models (2) Resources & Methods (2) Techniques (2)

Keywords

spiking neural network (7) membrane potential (2) continual learning (2) data-driven discovery (2) transformer architecture (2) energy efficiency (2) quantization error (2) surrogate gradient (2) scientific discovery (2) large language model (2) benchmark evaluation (2) catastrophic forgetting (2) code generation (1) bipartite matching (1) few-shot learning (1) prompt engineering (1) batch normalization (1) contrastive learning (1) knowledge distillation (1) real-time processing (1)

Papers

HLML-SNN：Fast Continual Learning in Spiking Neural Networks Achieved via Hebbian Learning-Driven Meta-Learning AAAI 2026 AutoSDT: Scaling Data-Driven Discovery Tasks Toward Open Co-Scientists EMNLP 2025 Improving Transformer Based Line Segment Detection with Matched Predicting and Re-ranking AAAI 2025 ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery ICLR 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 Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks AAAI 2024 Alleviating Catastrophic Forgetting of Incremental Object Detection via Within-Class and Between-Class Knowledge Distillation ICCV 2023 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 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 ECKPN: Explicit Class Knowledge Propagation Network for Transductive Few-Shot Learning CVPR 2021