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Zhengyan Zhang — most-cited papers & profile · Computer Vision
← authors
·
overview
Zhengyan Zhang
17
papers ·
5804
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
2025 · 5456 citations
DeepSeek-V3 Technical Report
2024 · 248 citations
Relu\(^2\) Wins: Discovering Efficient Activation Functions For Sparse Llms
2024 · 56 citations
Turbo Sparse: Achieving LLM SOTA Performance With Minimal Activated Parameters
2024 · 39 citations
DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
2025 · 5 citations
DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence
2026
Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models
2026
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
2025
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
2025
Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention
2025
DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
2025
CSS-LM: A Contrastive Framework for Semi-supervised Fine-tuning of Pre-trained Language Models
2021
Prompt Tuning for Discriminative Pre-trained Language Models
2022
Variator: Accelerating Pre-trained Models with Plug-and-Play Compression Modules
2023
ReLU$^2$ Wins: Discovering Efficient Activation Functions for Sparse LLMs
2024
Topics
Training Techniques
Model Architecture
Efficiency
Reinforcement Learning
In-Context Learning
Evaluation
RAG
Fine-Tuning
Code
Prompting