Jian K. Liu

3 papers · 2023–2024 · 2 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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🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (13)

Venues

AAAI (2) CVPR (1)

Top co-authors

Gang Pan (2) Huajin Tang (2) Jiangrong Shen (2) Qi Xu (2) Tiejun Huang (1) Jianhao Ding (1) Yaxin Li (1) Yueming Wang (1) Zhaofei Yu (1)

Research topics

Deep Learning (3) Machine Learning (3) Application Areas (3) Architectures (3) Learning Types · Machine Learning (2) Artificial Intelligence (1) Core AI (1) Learning Types · Deep Learning (1) Optimization & Theory · Machine Learning (1) Optimization & Theory · Deep Learning (1) Techniques (1)

Keywords

spiking neural network (3) model compression (1) neural network pruning (1) adversarial robustness (1) neuromorphic computing (1) structure learning (1) knowledge transfer (1) knowledge distillation (1) network pruning (1) neural network optimization (1) structural learning (1) evolutionary algorithm (1) sparse training (1) artificial neural network (1) brain-inspired computing (1) low power consumption (1) evolutionary learning (1) stochastic gating (1) neural network architecture (1) connection density (1)

Papers

Enhancing the Robustness of Spiking Neural Networks with Stochastic Gating Mechanisms AAAI 2024 Constructing Deep Spiking Neural Networks From Artificial Neural Networks With Knowledge Distillation CVPR 2023 ESL-SNNs: An Evolutionary Structure Learning Strategy for Spiking Neural Networks AAAI 2023