Yichen Zhu

According to our database, Yichen Zhu authored at least 54 papers between 2018 and 2026.

Collaborative distances:

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

2026

Hi-WM: Human-in-the-World-Model for Scalable Robot Post-Training.

Yaxuan Li, Zhongyi Zhou, Yefei Chen, Yanjiang Guo, Jiaming Liu, Shanghang Zhang, Jianyu Chen, Yichen Zhu

CoRR, April, 2026

PointVLA: Injecting the 3D World Into Vision-Language-Action Models.

Chengmeng Li, Junjie Wen, Yaxin Peng, Yan Peng, Yichen Zhu

IEEE Robotics Autom. Lett., March, 2026

2025

HumanoidExo: Scalable Whole-Body Humanoid Manipulation via Wearable Exoskeleton.

Rui Zhong, Yizhe Sun, Junjie Wen, Jinming Li, Chuang Cheng, Wei Dai, Zhiwen Zeng, Huimin Lu, Yichen Zhu, Yi Xu

CoRR, October, 2025

ActiveUMI: Robotic Manipulation with Active Perception from Robot-Free Human Demonstrations.

Qiyuan Zeng, Chengmeng Li, Jude St. John, Zhongyi Zhou, Junjie Wen, Guorui Feng, Yichen Zhu, Yi Xu

CoRR, October, 2025

dVLA: Diffusion Vision-Language-Action Model with Multimodal Chain-of-Thought.

Junjie Wen, Minjie Zhu, Jiaming Liu, Zhiyuan Liu, Yicun Yang, Linfeng Zhang, Shanghang Zhang, Yichen Zhu, Yi Xu

CoRR, September, 2025

ChatVLA-2: Vision-Language-Action Model with Open-World Embodied Reasoning from Pretrained Knowledge.

Zhongyi Zhou, Yichen Zhu, Junjie Wen, Chaomin Shen, Yi Xu

CoRR, May, 2025

WorldEval: World Model as Real-World Robot Policies Evaluator.

Yaxuan Li, Yichen Zhu, Junjie Wen, Chaomin Shen, Yi Xu

CoRR, May, 2025

TinyVLA: Toward Fast, Data-Efficient Vision-Language-Action Models for Robotic Manipulation.

Junjie Wen, Yichen Zhu, Jinming Li, Minjie Zhu, Zhibin Tang, Kun Wu, Zhiyuan Xu, Ning Liu, Ran Cheng, Chaomin Shen, Yaxin Peng, Feifei Feng, Jian Tang

IEEE Robotics Autom. Lett., April, 2025

PointVLA: Injecting the 3D World into Vision-Language-Action Models.

Chengmeng Li, Junjie Wen, Yan Peng, Yaxin Peng, Feifei Feng, Yichen Zhu

CoRR, March, 2025

ObjectVLA: End-to-End Open-World Object Manipulation Without Demonstration.

Minjie Zhu, Yichen Zhu, Jinming Li, Zhongyi Zhou, Junjie Wen, Xiaoyu Liu, Chaomin Shen, Yaxin Peng, Feifei Feng

CoRR, February, 2025

ChatVLA: Unified Multimodal Understanding and Robot Control with Vision-Language-Action Model.

Zhongyi Zhou, Yichen Zhu, Minjie Zhu, Junjie Wen, Ning Liu, Zhiyuan Xu, Weibin Meng, Ran Cheng, Yaxin Peng, Chaomin Shen, Feifei Feng

CoRR, February, 2025

DexVLA: Vision-Language Model with Plug-In Diffusion Expert for General Robot Control.

Junjie Wen, Yichen Zhu, Jinming Li, Zhibin Tang, Chaomin Shen, Feifei Feng

CoRR, February, 2025

LaTP: LiDAR-aided multimodal token pruning for efficient trajectory prediction of autonomous driving.

Yantao Lu, Shiqi Sun, Ning Liu, Bo Jiang, Yilan Li, Jinchao Chen, Ying Zhang, Yichen Zhu, Senem Velipasalar

Neural Networks, 2025

Let Me Show You: Learning by Retrieving from Egocentric Video for Robotic Manipulation.

Yichen Zhu, Feifei Feng

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

Scaling Diffusion Policy in Transformer to 1 Billion Parameters for Robotic Manipulation.

Minjie Zhu, Yichen Zhu, Jinming Li, Junjie Wen, Zhiyuan Xu, Ning Liu, Ran Cheng, Chaomin Shen, Yaxin Peng, Feifei Feng, Jian Tang

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

Discrete Policy: Learning Disentangled Action Space for Multi-Task Robotic Manipulation.

Kun Wu, Yichen Zhu, Jinming Li, Junjie Wen, Ning Liu, Zhiyuan Xu, Jian Tang

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

DiffusionVLA: Scaling Robot Foundation Models via Unified Diffusion and Autoregression.

Junjie Wen, Yichen Zhu, Minjie Zhu, Zhibin Tang, Jinming Li, Zhongyi Zhou, Xiaoyu Liu, Chaomin Shen, Yaxin Peng, Feifei Feng

Proceedings of the Forty-second International Conference on Machine Learning, 2025

CoA-VLA: Improving Vision-Language-Action Models via Visual-Textual Chain-of-Affordance.

Jinming Li, Yichen Zhu, Zhibin Tang, Junjie Wen, Minjie Zhu, Xiaoyu Liu, Chengmeng Li, Ran Cheng, Yaxin Peng, Yan Peng, Feifei Feng

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

ChatVLA: Unified Multimodal Understanding and Robot Control with Vision-Language-Action Model.

Zhongyi Zhou, Yichen Zhu, Minjie Zhu, Junjie Wen, Ning Liu, Zhiyuan Xu, Weibin Meng, Yaxin Peng, Chaomin Shen, Feifei Feng, Yi Xu

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

A Comprehensive Overhaul of Multimodal Assistant with Small Language Models.

Minjie Zhu, Yichen Zhu, Ning Liu, Xin Liu, Zhiyuan Xu, Chaomin Shen, Yaxin Peng

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Improving Vision-Language-Action Models via Chain-of-Affordance.

Jinming Li, Yichen Zhu, Zhibin Tang, Junjie Wen, Minjie Zhu, Xiaoyu Liu, Chengmeng Li, Ran Cheng, Yaxin Peng, Feifei Feng

CoRR, 2024

Diffusion-VLA: Scaling Robot Foundation Models via Unified Diffusion and Autoregression.

Junjie Wen, Minjie Zhu, Yichen Zhu, Zhibin Tang, Jinming Li, Zhongyi Zhou, Chengmeng Li, Xiaoyu Liu, Yaxin Peng, Chaomin Shen, Feifei Feng

CoRR, 2024

Discrete Policy: Learning Disentangled Action Space for Multi-Task Robotic Manipulation.

Kun Wu, Yichen Zhu, Jinming Li, Junjie Wen, Ning Liu, Zhiyuan Xu, Qinru Qiu, Jian Tang

CoRR, 2024

TinyVLA: Towards Fast, Data-Efficient Vision-Language-Action Models for Robotic Manipulation.

Junjie Wen, Yichen Zhu, Jinming Li, Minjie Zhu, Kun Wu, Zhiyuan Xu, Ning Liu, Ran Cheng, Chaomin Shen, Yaxin Peng, Feifei Feng, Jian Tang

CoRR, 2024

MMRo: Are Multimodal LLMs Eligible as the Brain for In-Home Robotics?

Jinming Li, Yichen Zhu, Zhiyuan Xu, Jindong Gu, Minjie Zhu, Xin Liu, Ning Liu, Yaxin Peng, Feifei Feng, Jian Tang

CoRR, 2024

Mipha: A Comprehensive Overhaul of Multimodal Assistant with Small Language Models.

Minjie Zhu, Yichen Zhu, Xin Liu, Ning Liu, Zhiyuan Xu, Chaomin Shen, Yaxin Peng, Zhicai Ou, Feifei Feng, Jian Tang

CoRR, 2024

Visual Robotic Manipulation with Depth-Aware Pretraining.

Wanying Wang, Jinming Li, Yichen Zhu, Zhiyuan Xu, Zhengping Che, Yaxin Peng, Chaomin Shen, Dong Liu, Feifei Feng, Jian Tang

CoRR, 2024

LLaVA-Phi: Efficient Multi-Modal Assistant with Small Language Model.

Yichen Zhu, Minjie Zhu, Ning Liu, Zhicai Ou, Xiaofeng Mou, Jian Tang

CoRR, 2024

Visual Robotic Manipulation with Depth-Aware Pretraining.

Jinming Li, Wanying Wang, Yaxin Peng, Chaomin Shen, Yichen Zhu, Zhiyuan Xu

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2024

Any2Policy: Learning Visuomotor Policy with Any-Modality.

Yichen Zhu, Zhicai Ou, Feifei Feng, Jian Tang

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

EDT: An Efficient Diffusion Transformer Framework Inspired by Human-like Sketching.

Xinwang Chen, Ning Liu, Yichen Zhu, Feifei Feng, Jian Tang

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

Safety of Multimodal Large Language Models on Images and Text.

Xin Liu, Yichen Zhu, Yunshi Lan, Chao Yang, Yu Qiao

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Language-Conditioned Robotic Manipulation with Fast and Slow Thinking.

Minjie Zhu, Yichen Zhu, Jinming Li, Junjie Wen, Zhiyuan Xu, Zhengping Che, Chaomin Shen, Yaxin Peng, Dong Liu, Feifei Feng, Jian Tang

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Object-Centric Instruction Augmentation for Robotic Manipulation.

Junjie Wen, Yichen Zhu, Minjie Zhu, Jinming Li, Zhiyuan Xu, Zhengping Che, Chaomin Shen, Yaxin Peng, Dong Liu, Feifei Feng, Jian Tang

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

MM-SafetyBench: A Benchmark for Safety Evaluation of Multimodal Large Language Models.

Xin Liu, Yichen Zhu, Jindong Gu, Yunshi Lan, Chao Yang, Yu Qiao

Proceedings of the Computer Vision - ECCV 2024, 2024

Retrieval-Augmented Embodied Agents.

Yichen Zhu, Zhicai Ou, Xiaofeng Mou, Jian Tang

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

Exploring Gradient Explosion in Generative Adversarial Imitation Learning: A Probabilistic Perspective.

Wanying Wang, Yichen Zhu, Yirui Zhou, Chaomin Shen, Jian Tang, Zhiyuan Xu, Yaxin Peng, Yangchun Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

EPSD: Early Pruning with Self-Distillation for Efficient Model Compression.

Dong Chen, Ning Liu, Yichen Zhu, Zhengping Che, Rui Ma, Fachao Zhang, Xiaofeng Mou, Yi Chang, Jian Tang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

LogSummary: Unstructured Log Summarization for Software Systems.

Weibin Meng, Federico Zaiter, Yuzhe Zhang, Ying Liu, Shenglin Zhang, Shimin Tao, Yichen Zhu, Tao Han, Yongpeng Zhao, En Wang, Yuzhi Zhang, Dan Pei

IEEE Trans. Netw. Serv. Manag., September, 2023

Query-Relevant Images Jailbreak Large Multi-Modal Models.

Xin Liu, Yichen Zhu, Yunshi Lan, Chao Yang, Yu Qiao

CoRR, 2023

Biglog: Unsupervised Large-scale Pre-training for a Unified Log Representation.

Shimin Tao, Yilun Liu, Weibin Meng, Zuomin Ren, Hao Yang, Xun Chen, Liang Zhang, Yuming Xie, Chang Su, Xiaosong Oiao, Weinan Tian, Yichen Zhu, Tao Han, Ying Qin, Yun Li

Proceedings of the 31st IEEE/ACM International Symposium on Quality of Service, 2023

ScaleKD: Distilling Scale-Aware Knowledge in Small Object Detector.

Yichen Zhu, Qiqi Zhou, Ning Liu, Zhiyuan Xu, Zhicai Ou, Xiaofeng Mou, Jian Tang

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

2022

LogStamp: Automatic Online Log Parsing Based on Sequence Labelling.

Shimin Tao, Weibin Meng, Yimeng Chen, Yichen Zhu, Ying Liu, Chunning Du, Tao Han, Yongpeng Zhao, Xiangguang Wang, Hao Yang

SIGMETRICS Perform. Evaluation Rev., 2022

BNNAS++: Towards Unbiased Neural Architecture Search With Batch Normalization.

Yichen Zhu, Xiaowei Fu

IEEE Access, 2022

Teach Less, Learn More: On the Undistillable Classes in Knowledge Distillation.

Yichen Zhu, Ning Liu, Zhiyuan Xu, Xin Liu, Weibin Meng, Louis Wang, Zhicai Ou, Jian Tang

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

Label-Guided Auxiliary Training Improves 3D Object Detector.

Yaomin Huang, Xinmei Liu, Yichen Zhu, Zhiyuan Xu, Chaomin Shen, Zhengping Che, Guixu Zhang, Yaxin Peng, Feifei Feng, Jian Tang

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

UniLog: Deploy One Model and Specialize it for All Log Analysis Tasks.

Yichen Zhu, Weibin Meng, Ying Liu, Shenglin Zhang, Tao Han, Shimin Tao, Dan Pei

CoRR, 2021

Make A Long Image Short: Adaptive Token Length for Vision Transformers.

Yichen Zhu, Yuqin Zhu, Jie Du, Yi Wang, Zhicai Ou, Feifei Feng, Jian Tang

CoRR, 2021

Training BatchNorm Only in Neural Architecture Search and Beyond.

Yichen Zhu, Jie Du, Yuqin Zhu, Yi Wang, Zhicai Ou, Feifei Feng, Jian Tang

CoRR, 2021

Student Customized Knowledge Distillation: Bridging the Gap Between Student and Teacher.

Yichen Zhu, Yi Wang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Summarizing Unstructured Logs in Online Services.

Weibin Meng, Federico Zaiter, Yuheng Huang, Ying Liu, Shenglin Zhang, Yuzhe Zhang, Yichen Zhu, Tianke Zhang, En Wang, Zuomin Ren, Feng Wang, Shimin Tao, Dan Pei

CoRR, 2020

LogParse: Making Log Parsing Adaptive through Word Classification.

Weibin Meng, Ying Liu, Federico Zaiter, Shenglin Zhang, Yihao Chen, Yuzhe Zhang, Yichen Zhu, En Wang, Ruizhi Zhang, Shimin Tao, Dian Yang, Rong Zhou, Dan Pei

Proceedings of the 29th International Conference on Computer Communications and Networks, 2020

2019

LogAnomaly: Unsupervised Detection of Sequential and Quantitative Anomalies in Unstructured Logs.

Weibin Meng, Ying Liu, Yichen Zhu, Shenglin Zhang, Dan Pei, Yuqing Liu, Yihao Chen, Ruizhi Zhang, Shimin Tao, Pei Sun, Rong Zhou

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

A Multi-scale Pyramid of Fully Convolutional Networks for Automatic Cell Detection.

Jiang Gu, Yichen Zhu, Bohong Yang, Jingkai Jia, Juanjuan Wang, Jian Yang, Wenqiang Zhang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018