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Cheng Yang
Observed name:
Yang, Cheng
Institutions:
Rutgers, The State University of New Jersey,
Tencent (China),
China University of Geosciences,
ByteDance (China),
Communication University of China
Observed institutions:
Rutgers, The State University of New Jersey,
Tencent (China),
China University of Geosciences,
ByteDance (China),
Communication University of China
ORCID:
0000-0003-3873-6411
Observed ORCID:
0000-0003-3873-6411
OpenAlex ID:
A5121557703
Dual Latent Memory for Visual Multi-agent System
2026
·
Yu, Xinlei
, Xu, Chengming
, et al.
·
arXiv (Cornell University)
·
10
PDF
Residual Decoding: Mitigating Hallucinations in Large Vision-Language Models via History-Aware Residual Guidance
2026
·
Chen, Xinrong
, Chu, Xu
, et al.
·
arXiv (Cornell University)
·
8
PDF
Uno-Orchestra: Parsimonious Agent Routing via Selective Delegation
2026
·
Cui, Zhiqing
, Xie, Haotong
, et al.
·
arXiv (Cornell University)
·
5
PDF
Evidence-RL: Towards Evidence-intensive Visual Reasoning
2026
·
Huang, Haojie
, Yu, Xinlei
, et al.
·
arXiv (Cornell University)
·
4
PDF
Switchable focusing of hyperbolic polariton rays in bulk anisotropic crystals
2026
·
Zongyuan Xie
, Yi Li
, et al.
·
PhotoniX
·
2
PDF
Generation as Auxiliary Supervision: Enhancing Visual Understanding at Zero Inference Overhead via Decoupled Embedding Prediction
2026
·
Guo, Zhongbin
, Xie, Jiahao
, et al.
·
arXiv (Cornell University)
·
1
PDF
InstructMoLE: Instruction-Guided Mixture of Low-rank Experts for Multi-Conditional Image Generation
2025
·
Xiao, Jinqi
, Yan, Qing
, et al.
·
arXiv (Cornell University)
·
1
PDF
ATA: Bridging Implicit Reasoning with Attention-Guided and Action-Guided Inference for Vision-Language Action Models
2026
·
Cheng Yang
, Jianhao Jiao
, et al.
·
Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
PDF
Latent Action Reparameterization for Efficient Agent Inference
2026
·
Huang, Wenhao
, Zeng, Qingwen
, et al.
·
arXiv (Cornell University)
PDF
Enhancing Explainable Recommendation with Semantic Decomposition and Reconstruction
2026
·
Rui Tang
, Peng Yi
, et al.
·
SSRN Electronic Journal
First Things First: Teaching LLM-Based Agents to Prioritize Must-Haves before Nice-to-Haves
2026
·
Tianjie Ju
, Xinyue Xu
, et al.
·
Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
PDF
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Works count:
11
Citation count:
31
H-index:
4
I10-index:
1
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