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Jingyuan Zhu

4 papers hereh-index 231 citations8 works total

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

author position
  • first author2
  • middle author2

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

fields
  • cs.CV3
  • cs.CL1
same name
  • Jingyuan Zhu — 4 papers, h 3
  • Jingyuan Zhu — 2 papers, h 6
  • Jingyuan Zhu — 1 paper, h 11

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

most citedODGEN: Domain-specific Object Detection Data Generation with Diffusion Models

5 citations · 5 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2026

LoomVideo: Unifying Multimodal Inputs into Video Generation and Editing

Jianzong Wu, Hao Lian, Jiongfan Yang +12

Developing unified video generation and editing models capable of interpreting interleaved multimodal inputs is a promising yet challenging frontier field. Existing unified framewo…

cs.CL2026

YouZhi: Towards High-Concurrency Financial LLMs via Adaptive GQA-to-MLA Transition

PSBC LLM Team, Huawei LLM Team, Ruihan Long +56

Large language models (LLMs) drive significant financial innovations, yet their high-concurrency deployment is severely bottlenecked by KV cache memory overhead, which inflates inf…

cs.CV2026

Diffusion-APO: Trajectory-Aware Direct Preference Alignment for Video Diffusion Transformers

Jingyuan Zhu, Biaolong Chen, Le Zhang +3

Efficiently aligning large-scale video diffusion models with human intent requires a scalable and trajectory-aware pathway that bridges the inherent discrepancy between training no…

cs.CV2024★ 5 cited

ODGEN: Domain-specific Object Detection Data Generation with Diffusion Models

Jingyuan Zhu, Shiyu Li, Yuxuan Liu +4

Modern diffusion-based image generative models have made significant progress and become promising to enrich training data for the object detection task. However, the generation qu…

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