👨🌾 This is Huiqiang Jiang (姜慧强)'s homepage.
a fake MLsys/NLPer Google schoal,
Research focus on Efficient Methods (in LLMs)
A unpopular blogger Blog & Zhihu
A programming enthusiast @iofu728
Phone: +86 178 xxxx xxxx
Email: iofu728[aT]gmail[DoT.]com
Huiqiang Jiang obtained his Master's Degree in Software Engineering from Peking University, working with A.P. Xiang Jing. And also was a research intern at the KC Group, Microsoft Research Asia (19/6-21/3) with Börje Karlsson and Guoxin Wang as well as the search group, Ant Group (20/6-20/8). He was a Research SDE in Microsoft Research Asia, Shanghai System Group (21/7-25/7). He was a Research Manager at Qwen (25/7-26/9).
Huiqiang's research primarily concentrates on efficient methods to accelerate inference or training, including dynamic sparse attention (MInference, RetrievalAttention), KV Cache centric analysis (SCBench), prompt compression (LLMLingua), speculative decoding, model compression, sparse inference (PIT), neural architecture search (NAS), and efficient tuning, with a particular emphasis on LLMs. At Qwen, his work centered on efficient and stable RL, efficient architectures and kernels, and kernel post-training. Additionally, he is interested in addressing typical challenges in natural language processing.