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Huiqiang Jiang — most-cited papers & profile · Large Language Models
← authors
·
overview
Huiqiang Jiang
21
papers ·
14
citations ·
13
h-index
Shanghai Jiao Tong University · Alibaba Group (Cayman Islands) · Alibaba Group (United States) · Microsoft Research Asia (China) · Alibaba Group (China)
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
Sortedrl: Accelerating RL Training For Llms Through Online Length-aware Scheduling
2026 · 7 citations
Position Engineering: Boosting Large Language Models through Positional Information Manipulation
2024 · 3 citations
Winning the Pruning Gamble: A Unified Approach to Joint Sample and Token Pruning for Efficient Supervised Fine-Tuning
2025
Breaking Entropy Bounds: Accelerating RL Training via MTP with Rejection Sampling
2026
MMInference: Accelerating Pre-filling for Long-Context VLMs via Modality-Aware Permutation Sparse Attention
2025
RetroInfer: A Vector-Storage Approach for Scalable Long-Context LLM Inference
2025
Chain-of-Model Learning for Language Model
2025
Winning the Pruning Gamble: A Unified Approach to Joint Sample and Token Pruning for Efficient Supervised Fine-Tuning
2025
Stabilizing Reinforcement Learning with LLMs: Formulation and Practices
2025
xKV: Cross-Layer KV-Cache Compression via Aligned Singular Vector Extraction
2025
LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression
2024
RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval
2024
SCBench: A KV Cache-Centric Analysis of Long-Context Methods
2024
Top co-authors
Yuqing Yang
· 7
Lili Qiu
· 6
Chengruidong Zhang
· 5
Junyang Lin
· 4
Xufang Luo
· 4
Yucheng Li
· 4
Dayiheng Liu
· 3
Dongsheng Li
· 3
Fei Huang
· 3
Qianhui Wu
· 3
Amir H. Abdi
· 2
An Yang
· 2
Topics
Efficiency
Training Techniques
Model Architecture
RAG
Reinforcement Learning
In-Context Learning
Fine-Tuning
Prompting
Evaluation
Vision-Language