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Jie Tang

23 papers hereh-index 164.7k citations22 works total

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

author position
  • middle author5
  • last author12

Across the 17 of 23 papers where every author was matched, so the position is known.

fields
  • cs.CV14
  • cs.LG3
  • cs.AI2
  • cs.CL2
  • cs.IR1
  • cs.SE1
same name
  • Jie Tang — 54 papers, h 82
  • Jie Tang — 32 papers, h 31
  • Jie Tang — 23 papers, h 20
  • Jie Tang — 23 papers, h 21
  • Jie Tang — 21 papers, h 13
  • Jie Tang — 19 papers, h 52

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
20212026
most citedCogVLM: Visual Expert for Pretrained Language Models

77 citations · 128 across the 20 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

cs.CV2026

Can Visual Generation Expand What Unified Multimodal Models Know?

Wenkai Li, Wenyi Hong, Zhuoyi Yang +1

Unified multimodal models (UMMs) receive image-generation supervision that exposes them to visual information not fully documented in text. Can learning to generate images expand w…

cs.LG2026

GFD-OPD: Guidance-Folded On-Policy Distillation of Diffusion Models Across Scales

Zhenxing Zhang, Jiayan Teng, Wenxu Wu +6

On-policy distillation (OPD) has demonstrated two important capabilities in language models: compressing large teachers into smaller students and merging expert models into a singl…

cs.CL2026

AWM: Answerable Working Memory for Long-Document VQA Agents

Dongzhuoran Zhou, Yuqicheng Zhu, Yule Liu +5

Long-document visual question answering increasingly relies on VLM agents that retrieve candidate pages, inspect page images, write findings to working memory, and synthesize answe…

cs.CV2026

Video2Code: Generating Interactive Webpages from UI Videos via Action-Aware Revisit

Mingde Xu, Zhen Yang, Yan Wang +7

UI videos provide a natural input for generating interactive webpages, as they capture both webpage appearance and action-triggered state transitions. However, directly applying vi…

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