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researcher

Wei Shi

4 papers hereh-index 6195 citations13 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.IR1
  • cs.LG1
same name
  • Wei Shi — 8 papers, h 7
  • Wei Shi — 6 papers, h 3
  • Wei Shi — 5 papers, h 4
  • Wei Shi — 4 papers, h 4
  • Wei Shi — 3 papers, h 3
  • Wei Shi — 3 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

works on
configuration-driven framework 1feature engineering 1generative retrieval 1online inference 1prompt generation 1

From the 1 of 4 linked papers with an AI index.

activity
20242026
collaborators

4 papers

cs.IR2026

Prompt Generation Technical Report

Dan Ou, Gui Ling, Hao Wan +25

The paper introduces Prompt Generation (PG), a configuration‑driven framework that separates feature processing from model architecture for generative retrieval systems, enabling f…

cs.LG2026

Caracal: Causal Architecture via Spectral Mixing

Bingzheng Gan, Tianyi Zhang, Yusu Li +4

The scalability of Large Language Models to long sequences is hindered by the quadratic cost of attention and the limitations of positional encodings. To address these, we introduc…

cs.CV2025

TrajSV: A Trajectory-based Model for Sports Video Representations and Applications

Zheng Wang, Shihao Xu, Wei Shi

Sports analytics has received significant attention from both academia and industry in recent years. Despite the growing interest and efforts in this field, several issues remain u…

cs.CV2024

Geo-LLaVA: A Large Multi-Modal Model for Solving Geometry Math Problems with Meta In-Context Learning

Shihao Xu, Yiyang Luo, Wei Shi

Geometry mathematics problems pose significant challenges for large language models (LLMs) because they involve visual elements and spatial reasoning. Current methods primarily rel…

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