Dingwen Tao

4 papers · 2022–2026 · 3 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (10) 🐣 Hot Topic Early Bird

Venues

AAAI (2) NAACL (1) NeurIPS (1)

Top co-authors

Jinda Jia (2) Chengming Zhang (2) Baixi Sun (1) Zhi Zhang (1) Xin Liu (1) Hao Feng (1) Yang Sui (1) peng sun (1) Bo Yuan (1) Jinglei Tan (1)

Research topics

Artificial Intelligence (3) Machine Learning (3) Optimization & Theory · Machine Learning (3) Application Areas (2) Core AI (2) Deep Learning (1) Interdisciplinary (1) Architectures (1) Learning Paradigms (1) Linguistics (1) Optimization & Theory · Deep Learning (1)

Keywords

model compression (2) data visualization (1) efficient computing (1) distributed training (1) gradient compression (1) communication compression (1) mixture of expert (1) frequency analysis (1) stochastic quantization (1) rank selection (1) open-source tool (1) architecture search (1) python library (1) gradient sparsification (1) flops reduction (1) hardware-aware design (1) expert parallelism (1) large language model (1) neural network (1) low-rank compression (1)

Papers

RCMoE: A Communication-Efficient Random Compression Framework for Resource-Constrained Mixture-of-Experts Training AAAI 2026 SDP4Bit: Toward 4-bit Communication Quantization in Sharded Data Parallelism for LLM Training NeurIPS 2024 HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural Networks AAAI 2023 EmojiCloud: a Tool for Emoji Cloud Visualization NAACL 2022