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Jiangrong Shen

17 papers · 2018–2025 · 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 ↓ πŸ—ΊοΈ Taxonomy Completionist (28) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Bronze 🐣 Hot Topic Early Bird
πŸ† Grand Slam πŸ”¬ Deep Specialist (14) 🀝 Dynamic Duo (14) ⚑ Prolific Year Β· Productive πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (89)

Venues

AAAI (4) ICML (4) IJCAI (3) ICLR (2) NeurIPS (2) CVPR (1) EMNLP (1)

Top co-authors

Qi Xu (14) Gang Pan (10) Huajin Tang (9) Yaxin Li (4) Xuming Ran (3) Yu Qi (2) Jian K. Liu (2) Yueming Wang (2) Qiang Zhang (2) Wenyao Ni (2)

Research topics

Machine Learning (17) Deep Learning (15) Architectures (15) Application Areas (8) Artificial Intelligence (7) Core AI (6) Optimization & Theory Β· Machine Learning (5) Core Methods (4) Learning Types Β· Machine Learning (4) Computer Vision (2) Analysis (2) Learning Types Β· Deep Learning (2) Optimization & Theory Β· Deep Learning (2) Interdisciplinary (1) Learning Paradigms (1)

Keywords

spiking neural network (16) low power consumption (2) sparse training (2) feature extraction (2) knowledge distillation (2) class-incremental learning (2) neural network optimization (2) surrogate gradient (2) continual learning (1) structure learning (1) reinforcement learning (1) object detection (1) event camera (1) attention mechanism (1) neural network pruning (1) neuromorphic computing (1) temporal information (1) local learning (1) image classification (1) network pruning (1)

Papers

ALADE-SNN: Adaptive Logit Alignment in Dynamically Expandable Spiking Neural Networks for Class Incremental Learning AAAI 2025 Efficient ANN-SNN Conversion with Error Compensation Learning ICML 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 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 Structural Reward Model: Enhancing Interpretability, Efficiency, and Scalability in Reward Modeling EMNLP 2025 Adaptive deep spiking neural network with global-local learning via balanced excitatory and inhibitory mechanism ICLR 2024 Efficient Spiking Neural Networks with Sparse Selective Activation for Continual Learning AAAI 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 Learnable Surrogate Gradient for Direct Training Spiking Neural Networks IJCAI 2023 CSNN: An Augmented Spiking based Framework with Perceptron-Inception IJCAI 2018 Jointly Learning Network Connections and Link Weights in Spiking Neural Networks IJCAI 2018