Yupeng Zheng

Orcid: 0000-0003-4450-7586

According to our database1, Yupeng Zheng authored at least 51 papers between 2023 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Learning High-Frequency Continuous Action Chunks in Latent Space.
CoRR, May, 2026

VistaBot: View-Robust Robot Manipulation via Spatiotemporal-Aware View Synthesis.
CoRR, April, 2026

PokeVLA: Empowering Pocket-Sized Vision-Language-Action Model with Comprehensive World Knowledge Guidance.
CoRR, April, 2026

Low-Complexity Tone Injection via Candidate Ranking for PAPR Reduction in OFDM and AFDM Systems.
CoRR, April, 2026

Saliency-Guided Representation with Consistency Policy Learning for Visual Unsupervised Reinforcement Learning.
CoRR, April, 2026

Region-Based Constellation Designs for Constructive Interference Precoding in MU-MIMO.
CoRR, April, 2026

OccTENS: 3D Occupancy World Model via Temporal Next-Scale Prediction.
IEEE Robotics Autom. Lett., March, 2026

DreamerAD: Efficient Reinforcement Learning via Latent World Model for Autonomous Driving.
CoRR, March, 2026

Latent-WAM: Latent World Action Modeling for End-to-End Autonomous Driving.
CoRR, March, 2026

OmniVTA: Visuo-Tactile World Modeling for Contact-Rich Robotic Manipulation.
CoRR, March, 2026

Learning from Mistakes: Post-Training for Driving VLA with Takeover Data.
CoRR, March, 2026

Rhythm: Learning Interactive Whole-Body Control for Dual Humanoids.
CoRR, March, 2026

Mimir: Hierarchical Goal-Driven Diffusion With Uncertainty Propagation for End-to-End Autonomous Driving.
IEEE Robotics Autom. Lett., February, 2026

TakeAD: Preference-Based Post-Optimization for End-to-End Autonomous Driving With Expert Takeover Data.
IEEE Robotics Autom. Lett., February, 2026

Towards Long-Lived Robots: Continual Learning VLA Models via Reinforcement Fine-Tuning.
CoRR, February, 2026

WorldRFT: Latent World Model Planning with Reinforcement Fine-Tuning for Autonomous Driving.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
World In Your Hands: A Large-Scale and Open-source Ecosystem for Learning Human-centric Manipulation in the Wild.
CoRR, December, 2025

WorldRFT: Latent World Model Planning with Reinforcement Fine-Tuning for Autonomous Driving.
CoRR, December, 2025

TrajMoE: Scene-Adaptive Trajectory Planning with Mixture of Experts and Reinforcement Learning.
CoRR, December, 2025

Enhancing Indoor Occupancy Prediction via Sparse Query-Based Multi-Level Consistent Knowledge Distillation.
IEEE Robotics Autom. Lett., November, 2025

UniArt: Unified 3D Representation for Generating 3D Articulated Objects with Open-Set Articulation.
CoRR, November, 2025

World4RL: Diffusion World Models for Policy Refinement with Reinforcement Learning for Robotic Manipulation.
CoRR, September, 2025

OccTENS: 3D Occupancy World Model via Temporal Next-Scale Prediction.
CoRR, September, 2025

World4Drive: End-to-End Autonomous Driving via Intention-aware Physical Latent World Model.
CoRR, July, 2025

ReasonPlan: Unified Scene Prediction and Decision Reasoning for Closed-loop Autonomous Driving.
CoRR, May, 2025

LiloDriver: A Lifelong Learning Framework for Closed-loop Motion Planning in Long-tail Autonomous Driving Scenarios.
CoRR, May, 2025

Semi-Supervised Vision-Centric 3D Occupancy World Model for Autonomous Driving.
CoRR, February, 2025

Hybrid Constellation Modulation for Symbol-Level Precoding in RIS-Enhanced MU-MISO Systems.
Proceedings of the 26th IEEE International Workshop on Signal Processing and Artificial Intelligence for Wireless Communications, 2025

UncAD: Towards Safe End-to-end Autonomous Driving via Online Map Uncertainty.
Proceedings of the IEEE International Conference on Robotics and Automation, 2025

Semi-Supervised Vision-Centric 3D Occupancy World Model for Autonomous Driving.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

World4Drive: End-to-End Autonomous Driving via Intention-Aware Physical Latent World Model.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024
GaussianGrasper: 3D Language Gaussian Splatting for Open-Vocabulary Robotic Grasping.
IEEE Robotics Autom. Lett., September, 2024

Adaptive Surface Normal Constraint for Geometric Estimation From Monocular Images.
IEEE Trans. Pattern Anal. Mach. Intell., September, 2024

Design and Fabrication of a Film Bulk Acoustic Wave Filter for 3.0 GHz-3.2 GHz S-Band.
Sensors, May, 2024

Planning-Inspired Hierarchical Trajectory Prediction via Lateral-Longitudinal Decomposition for Autonomous Driving.
IEEE Trans. Intell. Veh., January, 2024

Learnable differencing center for nighttime depth perception.
Vis. Intell., 2024

Impacts of LULC changes on runoff from rivers through a coupled SWAT and BiLSTM model: A case study in Zhanghe River Basin, China.
Ecol. Informatics, 2024

Preliminary Investigation into Data Scaling Laws for Imitation Learning-Based End-to-End Autonomous Driving.
CoRR, 2024

PlanAgent: A Multi-modal Large Language Agent for Closed-loop Vehicle Motion Planning.
CoRR, 2024

Latency-aware Road Anomaly Segmentation in Videos: A Photorealistic Dataset and New Metrics.
CoRR, 2024

A parallelly contextual convolutional transformer for medical image segmentation.
Biomed. Signal Process. Control., 2024

Flow-Audio-Synth: A Video-to-Audio Model which Captures Dynamic Features.
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

MonoOcc: Digging into Monocular Semantic Occupancy Prediction.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

TOD3Cap: Towards 3D Dense Captioning in Outdoor Scenes.
Proceedings of the Computer Vision - ECCV 2024, 2024

Tri-Perspective view Decomposition for Geometry-Aware Depth Completion.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Learnable Differencing Center for Nighttime Depth Perception.
CoRR, 2023

STEPS: Joint Self-supervised Nighttime Image Enhancement and Depth Estimation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

ADAPT: Action-aware Driving Caption Transformer.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

3D Implicit Transporter for Temporally Consistent Keypoint Discovery.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

DPF: Learning Dense Prediction Fields with Weak Supervision.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Enhancing Daily Life Through an Interactive Desktop Robotics System.
Proceedings of the Artificial Intelligence - Third CAAI International Conference, 2023


  Loading...