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Zhaolong Shen
Observed name:
Shen, Zhaolong
Institution:
Beihang University
Observed institution:
Beihang University
OpenAlex ID:
A5123471925
EvoSpatial: Experience-Driven Skill and Tool Evolution for Spatial Reasoning Agents
2026
·
Yu, Bin
, Lian, Shijie
, et al.
·
arXiv (Cornell University)
PDF
ActionPiece: Rethinking Action Tokenization for Autoregressive Vision-Language-Action Models
2026
·
Lian, Shijie
, Yu, Bin
, et al.
·
arXiv (Cornell University)
PDF
PhysBrain 1.5: From Vision-Language Models to Physical Foundation Models
2026
·
DeepCybo Team
, Bin, Yu
, et al.
·
arXiv (Cornell University)
PDF
VLA-Precision: Asymmetric Co-Bootstrapping for Efficient Real-World Online RL of Vision-Language-Action Models
2026
·
Su, Chenyu
, Shen, Zhaolong
, et al.
·
arXiv (Cornell University)
PDF
SIEVE: Structure-Aware Data Selection for Imitation Learning with VLA Models
2026
·
Wu, Changti
, Yu, Bin
, et al.
·
arXiv (Cornell University)
PDF
Human-as-Humanoid: Enabling Zero-Shot Humanoid Learning from Ego-Exo Human Videos with Human-Aligned Embodiments
2026
·
Lin, Xiaopeng
, Yang, Ruoqi
, et al.
·
arXiv (Cornell University)
PDF
PhysBrain 1.0 Technical Report
2026
·
Lian, Shijie
, Yu, Bin
, et al.
·
arXiv (Cornell University)
PDF
3D-Mix for VLA: A Plug-and-Play Module for Integrating VGGT-based 3D Information into Vision-Language-Action Models
2026
·
Yu, Bin
, Lian, Shijie
, et al.
·
arXiv (Cornell University)
PDF
LangForce: Bayesian Decomposition of Vision Language Action Models via Latent Action Queries
2026
·
Lian, Shijie
, Yu, Bin
, et al.
·
arXiv (Cornell University)
PDF
FrameSkip: Learning from Fewer but More Informative Frames in VLA Training
2026
·
Bin Yu
, Shijie Lian
, et al.
·
Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
PDF
IntentVLA: Short-Horizon Intent Modeling for Aliased Robot Manipulation
2026
·
Shijie Lian
, Bin Yu
, et al.
·
Conference on Empirical Methods in Natural Language Processing (EMNLP)
PDF
RoboSemanticBench: Diagnosing Semantic Grounding in Action Prediction for VLA Models
2026
·
Bin Yu
, Yao Zhang
, et al.
·
Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
PDF
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12
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