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researcher

Jianzhuang Liu

4 papers hereh-index 379 citations4 works total

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

author position
  • middle author4

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

fields
  • cs.CV3
  • cs.CY1
same name
  • Jianzhuang Liu — 51 papers, h 42
  • Jianzhuang Liu — 11 papers, h 7
  • Jianzhuang Liu — 10 papers, h 5
  • Jianzhuang Liu — 5 papers, h 37
  • Jianzhuang Liu — 3 papers, h 2
  • Jianzhuang Liu — 2 papers, h 5

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
20242026
most citedCorrectable Landmark Discovery via Large Models for Vision-Language Navigation

20 citations · 31 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CY2026

From Pattern Recognizers to Personalized Companions: A Survey of Large Language Models in Mental Health

He Hu, Yucheng Zhou, Qianning Wang +8

The rising global prevalence of mental health conditions, together with longstanding barriers in traditional healthcare, such as limited resources, high cost, stigma, and privacy c…

cs.CV2025★ 11 cited

Human Motion Video Generation: A Survey

Haiwei Xue, Xiangyang Luo, Zhanghao Hu +12

Human motion video generation has garnered significant research interest due to its broad applications, enabling innovations such as photorealistic singing heads or dynamic avatars…

cs.CV2024★ 20 cited

Correctable Landmark Discovery via Large Models for Vision-Language Navigation

Bingqian Lin, Yunshuang Nie, Ziming Wei +5

Vision-Language Navigation (VLN) requires the agent to follow language instructions to reach a target position. A key factor for successful navigation is to align the landmarks imp…

cs.CV2024

MVEB: Self-Supervised Learning with Multi-View Entropy Bottleneck

Liangjian Wen, Xiasi Wang, Jianzhuang Liu +1

Self-supervised learning aims to learn representation that can be effectively generalized to downstream tasks. Many self-supervised approaches regard two views of an image as both…

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