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Jiangtong Li

15 papers hereh-index 6171 citations23 works total

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

author position
  • first author2
  • middle author9
  • last author1

Across the 12 of 15 papers where every author was matched, so the position is known.

fields
  • cs.CL5
  • cs.CV3
  • eess.SP3
  • cs.CR2
  • cs.CE1
  • cs.LG1
same name
  • Jiangtong Li — 8 papers, h 7
  • Jiangtong Li — 8 papers, h 12

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

activity
20232026
most citedCFGPT: Chinese Financial Assistant with Large Language Model

5 citations · 16 across the 13 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

cs.CV2026

Pixels or Code? Benchmarking Instruction-Guided Visual Artifact Operation

Shun Guo, Shuizhou Shi, Boao Wang +4

Visual artifacts such as charts, technical diagrams, webpages, and document pages underpin scientific, commercial, and engineering workflows. Editing these artifacts requires direc…

cs.CV2026

CineForge: Self-Improving Agents for Long-Horizon Video Generation

Junxiang Liu, Lin Wang, Haiyu Shi +10

Long-horizon story-driven video generation requires a production agent to coordinate narrative decomposition, state tracking, shot design, prompt construction, rendering, and revis…

cs.CE2026

FinDocMRE: A Benchmark for Document-Level Financial Multimodal Reasoning Evaluation

Jiayong Zhu, Jiangtong Li, Jinru Ding +3

While Large Multimodal Models (LMMs) excel in general visual tasks, their deployment in specialized financial contexts remains insufficient. Existing benchmarks prioritize isolated…

eess.SP2026

PRiSE-EEG: A Prior-Guided Foundation Model with Depth-Stratified Experts for Cross-Paradigm EEG Representation Learning

Wei Xiong, Jiangtong Li, Kun Zhu +2

EEG foundation models aim to learn reusable representations across heterogeneous paradigms, yet existing approaches often use uniform adaptation mechanisms and are typically report…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.