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Jinjun Xiong

5 papers hereh-index 318 citations9 works total

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

author position
  • middle author2
  • last author3

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.LG2
  • cs.AI1
same name
  • Jinjun Xiong — 17 papers, h 6
  • Jinjun Xiong — 5 papers, h 5
  • Jinjun Xiong — 3 papers, h 2
  • Jinjun Xiong — 2 papers, h 3

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

collaborators

5 papers

cs.LG2026

Rollback-Free Stable Brick Structures Generation

Chenhui Xu, Ziyue Bai, Fuxun Yu +2

While autoregressive models have advanced 3D generation, creating physically stable brick structures remains a challenge due to the strict requirements of gravity and interconnecti…

cs.CV2026

Unlocking Zero-Shot Geospatial Reasoning via Indirect Rewards

Chenhui Xu, Fuxun Yu, Michael J. Bianco +15

Training robust reasoning vision-language models (VLMs) in rare domains (such as geospatial) is fundamentally constrained by supervision scarcity. While raw geospatial imagery is a…

cs.CV2026

Chain-of-Adaptation: Surgical Vision-Language Adaptation with Reinforcement Learning

Jiajie Li, Chenhui Xu, Meihuan Liu +1

Conventional fine-tuning on domain-specific datasets can inadvertently alter a model's pretrained multimodal priors, leading to reduced generalization. To address this, we propose…

cs.AI2026

AI+HW 2035: Shaping the Next Decade

Deming Chen, Jason Cong, Azalia Mirhoseini +27

Artificial intelligence (AI) and hardware (HW) are advancing at unprecedented rates, yet their trajectories have become inseparably intertwined. The global research community lacks…

cs.LG2024

Infinite-Dimensional Feature Interaction

Chenhui Xu, Fuxun Yu, Maoliang Li +4

The past neural network design has largely focused on feature representation space dimension and its capacity scaling (e.g., width, depth), but overlooked the feature interaction s…

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