Shuaipeng Li

7 papers · 2017–2026 · 5 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 · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (16)

Venues

AAAI (2) EMNLP (2) ICCV (1) ICML (1) NeurIPS (1)

Top co-authors

Xingwu Sun (5) Zhanhui Kang (4) Ruobing Xie (4) Di Wang (4) An Wang (3) Weidong Han (3) Zhen Yang (3) Rongtian Ye (2) Yixing Li (2) Yu Cheng (2)

Research topics

Machine Learning (6) Optimization & Theory · Machine Learning (4) Deep Learning (3) Artificial Intelligence (2) Natural Language Processing (2) Application Areas (2) Architectures (2) Core AI (2) Core Methods (2) Generation (2) Optimization & Theory · Deep Learning (2) Learning Types (1) Models (1)

Keywords

state space model (2) mixture of expert (2) parameter efficiency (2) sequence modeling (1) hyperparameter optimization (1) attention mechanism (1) language modeling (1) cross-modal retrieval (1) parameter sharing (1) computational power (1) visual-semantic embedding (1) linear complexity (1) adam optimizer (1) loss function (1) language model (1) expert activation (1) linear attention (1) expert specialization (1) model sparsification (1) scaling factor (1)

Papers

TransMamba: A Sequence-Level Hybrid Transformer-Mamba Language Model AAAI 2026 HMoE: Heterogeneous Mixture of Experts for Language Modeling EMNLP 2025 Scaling Laws for Floating–Point Quantization Training ICML 2025 Sparsifying Mamba EMNLP 2025 Surge Phenomenon in Optimal Learning Rate and Batch Size Scaling NeurIPS 2024 HAL: Improved Text-Image Matching by Mitigating Visual Semantic Hubs AAAI 2020 3DCNN-DQN-RNN: A Deep Reinforcement Learning Framework for Semantic Parsing of Large-Scale 3D Point Clouds ICCV 2017