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Huanqi Cao

2 accepted papers

2026

mHC: Manifold-Constrained Hyper-Connections

ICML 2026spotlight

Recently, studies exemplified by Hyper-Connections (HC) have extended the ubiquitous residual connection paradigm established over the past decade by expanding the residual stream width and diversifying connectivity patterns. While yielding substantial performance gains, this diversification fundame…

Cited by 0SourceScholar
2023

RWKV: Reinventing RNNs for the Transformer Era

EMNLP 2023long findings

Transformers have revolutionized almost all natural language processing (NLP) tasks but suffer from memory and computational complexity that scales quadratically with sequence length. In contrast, recurrent neural networks (RNNs) exhibit linear scaling in memory and computational requirements but st…

Cited by 0SourceScholar