Kuangrong Hao

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-RSNN: Bi-level Intrinsic Plasticity Enables Learning-to-learn in Recurrent Spiking Neural Networks

1 citations · 1 across the 3 of their papers we have counts for

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cs.LG2026

SpikeCredit: Temporal Credit Carrier for Reinforcement Learning with Sparse Rewards

Yingchao Yu, Pengfei Sun, Wenxuan Pan +4

Reinforcement learning (RL) with sparse rewards is challenging because delayed outcomes provide little guidance about which intermediate computations caused success or failure. We…

cs.LG2025

Local Data Quantity-Aware Weighted Averaging for Federated Learning with Dishonest Clients

Leming Wu, Yaochu Jin, Kuangrong Hao +1

Federated learning (FL) enables collaborative training of deep learning models without requiring data to leave local clients, thereby preserving client privacy. The aggregation pro…