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Chengzhuo Tong
Observed name:
Tong, Chengzhuo
Institutions:
Peking University,
Kuaishou (China)
Observed institutions:
Hong Kong Polytechnic University,
Xidian University,
Peking University,
Shanghai Artificial Intelligence Laboratory,
Kuaishou (China)
OpenAlex ID:
A5113394706
Delving into RL for Image Generation with CoT: A Study on DPO vs. GRPO
2025
·
Chengzhuo Tong
, Ziyu Guo
, et al.
·
neural information processing systems
·
5
PDF
Let’s Verify and Reinforce Image Generation Step by Step
2025
·
Renrui Zhang
, Chengzhuo Tong
, et al.
·
IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
·
4
Can We Generate Images with CoT? Let's Verify and Reinforce Image Generation Step by Step
2025
·
Guo, Ziyu
, Zhang, Renrui
, et al.
·
arXiv (Cornell University)
·
2
PDF
SAM2Point: Segment Any 3D as Videos in Zero-shot and Promptable Manners
2024
·
Guo, Ziyu
, Zhang, Renrui
, et al.
·
arXiv (Cornell University)
·
1
PDF
MAVIS: Mathematical Visual Instruction Tuning with an Automatic Data Engine
2024
·
Zhang, Renrui
, Wei, Xinyu
, et al.
·
arXiv (Cornell University)
·
1
PDF
Human-Centric Image Captioning with Subject-Centered Spatial Understanding
2026
·
Li, Bozhou
, Zhang, Jiahang
, et al.
·
arXiv (Cornell University)
PDF
Flux-OPD: On-Policy Distillation with Evolving Contexts
2026
·
Wang, Yuran
, Wang, Zekun
, et al.
·
arXiv (Cornell University)
PDF
ARGUS: Stacked Multi-View Identity Mosaic Injection for Subject-Preserving Video Generation
2026
·
Meng, Zijie
, Liu, Jiwen
, et al.
·
arXiv (Cornell University)
PDF
LatentOmni: Rethinking Omni-Modal Understanding via Unified Audio-Visual Latent Reasoning
2026
·
Dai, Yifan
, Wu, Zhenhua
, et al.
·
arXiv (Cornell University)
PDF
Artifact-Bench: Evaluating MLLMs on Detecting and Assessing the Artifacts of AI-Generated Videos
2026
·
Tang, Yuqi
, Shi, Yang
, et al.
·
arXiv (Cornell University)
PDF
OpenWorldLib: A Unified Codebase and Definition of Advanced World Models
2026
·
DataFlow Team
, Zeng, Bohan
, et al.
·
arXiv (Cornell University)
PDF
Research on World Models Is Not Merely Injecting World Knowledge into Specific Tasks
2026
·
Zeng, Bohan
, Zhu, Kaixin
, et al.
·
arXiv (Cornell University)
PDF
CoF-T2I: Video Models as Pure Visual Reasoners for Text-to-Image Generation
2026
·
Tong, Chengzhuo
, Chang, Mingkun
, et al.
·
arXiv (Cornell University)
PDF
Scone: Bridging Composition and Distinction in Subject-Driven Image Generation via Unified Understanding-Generation Modeling
2025
·
Wang, Yuran
, Zeng, Bohan
, et al.
·
arXiv (Cornell University)
PDF
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Works count:
17
Citation count:
13
H-index:
2
I10-index:
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