Penghao Wu

According to our database, Penghao Wu authored at least 22 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Ego-R1: Chain-of-Tool-Thought for Ultra-Long Egocentric Video Reasoning.

Shulin Tian, Ruiqi Wang, Hongming Guo, Penghao Wu, Yuhao Dong, Xiuying Wang, Jingkang Yang, Hao Zhang, Hongyuan Zhu, Ziwei Liu

CoRR, June, 2025

GUI-Reflection: Empowering Multimodal GUI Models with Self-Reflection Behavior.

Penghao Wu, Shengnan Ma, Bo Wang, Jiaheng Yu, Lewei Lu, Ziwei Liu

CoRR, June, 2025

Streamline Without Sacrifice - Squeeze out Computation Redundancy in LMM.

Penghao Wu, Lewei Lu, Ziwei Liu

CoRR, May, 2025

Video-MMMU: Evaluating Knowledge Acquisition from Multi-Discipline Professional Videos.

Kairui Hu, Penghao Wu, Fanyi Pu, Wang Xiao, Yuanhan Zhang, Xiang Yue, Bo Li, Ziwei Liu

CoRR, January, 2025

Transfer learning-motivated intelligent fault diagnosis framework for cross-domain knowledge distillation.

Penghao Wu, Engang Tian, Hongfeng Tao, Yiyang Chen

Neural Networks, 2025

Data-driven spiking neural networks for intelligent fault detection in vehicle lithium-ion battery systems.

Penghao Wu, Engang Tian, Hongfeng Tao, Yiyang Chen

Eng. Appl. Artif. Intell., 2025

2024

End-to-End Autonomous Driving: Challenges and Frontiers.

Li Chen, Penghao Wu, Kashyap Chitta, Bernhard Jaeger, Andreas Geiger, Hongyang Li

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs.

Shengbang Tong, Ellis Brown, Penghao Wu, Sanghyun Woo, Manoj Middepogu, Sai Charitha Akula, Jihan Yang, Shusheng Yang, Adithya Iyer, Xichen Pan, Austin Wang, Rob Fergus, Yann LeCun, Saining Xie

CoRR, 2024

Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs.

Peter Tong, Ellis Brown, Penghao Wu, Sanghyun Woo, Adithya Iyer, Sai Charitha Akula, Shusheng Yang, Jihan Yang, Manoj Middepogu, Ziteng Wang, Xichen Pan, Rob Fergus, Yann LeCun, Saining Xie

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Generalized Predictive Model for Autonomous Driving.

Jiazhi Yang, Shenyuan Gao, Yihang Qiu, Li Chen, Tianyu Li, Bo Dai, Kashyap Chitta, Penghao Wu, Jia Zeng, Ping Luo, Jun Zhang, Andreas Geiger, Yu Qiao, Hongyang Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

V*: Guided Visual Search as a Core Mechanism in Multimodal LLMs.

Penghao Wu, Saining Xie

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

HDGT: Heterogeneous Driving Graph Transformer for Multi-Agent Trajectory Prediction via Scene Encoding.

Xiaosong Jia, Penghao Wu, Li Chen, Yu Liu, Hongyang Li, Junchi Yan

IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

Policy Pre-training for End-to-end Autonomous Driving via Self-supervised Geometric Modeling.

Penghao Wu, Li Chen, Hongyang Li, Xiaosong Jia, Junchi Yan, Yu Qiao

CoRR, 2023

Policy Pre-training for Autonomous Driving via Self-supervised Geometric Modeling.

Penghao Wu, Li Chen, Hongyang Li, Xiaosong Jia, Junchi Yan, Yu Qiao

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Think Twice before Driving: Towards Scalable Decoders for End-to-End Autonomous Driving.

Xiaosong Jia, Penghao Wu, Li Chen, Jiangwei Xie, Conghui He, Junchi Yan, Hongyang Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Level 2 Autonomous Driving on a Single Device: Diving into the Devils of Openpilot.

Li Chen, Tutian Tang, Zhitian Cai, Yang Li, Penghao Wu, Hongyang Li, Jianping Shi, Junchi Yan, Yu Qiao

CoRR, 2022

Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline.

Penghao Wu, Xiaosong Jia, Li Chen, Junchi Yan, Hongyang Li, Yu Qiao

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

ST-P3: End-to-End Vision-Based Autonomous Driving via Spatial-Temporal Feature Learning.

Shengchao Hu, Li Chen, Penghao Wu, Hongyang Li, Junchi Yan, Dacheng Tao

Proceedings of the Computer Vision - ECCV 2022, 2022

Towards Capturing the Temporal Dynamics for Trajectory Prediction: a Coarse-to-Fine Approach.

Xiaosong Jia, Li Chen, Penghao Wu, Jia Zeng, Junchi Yan, Hongyang Li, Yu Qiao

Proceedings of the Conference on Robot Learning, 2022

Inharmonious Region Localization with Auxiliary Style Feature.

Penghao Wu, Li Niu, Liqing Zhang

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Inharmonious Region Localization via Recurrent Self-Reasoning.

Penghao Wu, Li Niu, Jing Liang, Liqing Zhang

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Inharmonious Region Localization by Magnifying Domain Discrepancy.

Jing Liang, Li Niu, Penghao Wu, Fengjun Guo, Teng Long

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022