Zhu, Yichen

28 publications

AAAI 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

IJCAI 2025 Active Multimodal Distillation for Few-Shot Action Recognition Weijia Feng, Yichen Zhu, Ruojia Zhang, Chenyang Wang, Fei Ma, Xiaobao Wang, Xiaobai Li

NeurIPS 2025 ChatVLA-2: Vision-Language-Action Model with Open-World Reasoning Zhongyi Zhou, Yichen Zhu, Xiaoyu Liu, Zhibin Tang, Junjie Wen, Yaxin Peng, Chaomin Shen, Yi Xu

ICCV 2025 CoA-VLA: Improving Vision-Language-Action Models via Visual-Text 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

CoRL 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

ICML 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

NeurIPS 2025 Less Is More: An Attention-Free Sequence Prediction Modeling for Offline Embodied Learning Wei Huang, Jianshu Zhang, Leiyu Wang, Heyue Li, Luoyi Fan, Yichen Zhu, Nanyang Ye, Qinying Gu

NeurIPS 2025 SPMDM: Enhancing Masked Diffusion Models Through Simplifying Sampling Path Yichen Zhu, Weiyu Chen, James Kwok, Zhou Zhao

NeurIPS 2024 Action Imitation in Common Action Space for Customized Action Image Synthesis Wang Lin, Jingyuan Chen, Jiaxin Shi, Zirun Guo, Yichen Zhu, Zehan Wang, Tao Jin, Zhou Zhao, Fei Wu, Shuicheng Yan, Hanwang Zhang

NeurIPS 2024 Any2Policy: Learning Visuomotor Policy with Any-Modality Yichen Zhu, Zhicai Ou, Feifei Feng, Jian Tang

NeurIPS 2024 EDT: An Efficient Diffusion Transformer Framework Inspired by Human-like Sketching Xinwang Chen, Ning Liu, Yichen Zhu, Feifei Feng, Jian Tang

AAAI 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

AAAI 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

ECCV 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

ICML 2024 Non-Confusing Generation of Customized Concepts in Diffusion Models Wang Lin, Jingyuan Chen, Jiaxin Shi, Yichen Zhu, Chen Liang, Junzhong Miao, Tao Jin, Zhou Zhao, Fei Wu, Shuicheng Yan, Hanwang Zhang

NeurIPS 2024 RAGraph: A General Retrieval-Augmented Graph Learning Framework Xinke Jiang, Rihong Qiu, Yongxin Xu, Wentao Zhang, Yichen Zhu, Ruizhe Zhang, Yuchen Fang, Xu Chu, Junfeng Zhao, Yasha Wang

CVPR 2024 Retrieval-Augmented Embodied Agents Yichen Zhu, Zhicai Ou, Xiaofeng Mou, Jian Tang

IJCAI 2024 Safety of Multimodal Large Language Models on Images and Text Xin Liu, Yichen Zhu, Yunshi Lan, Chao Yang, Yu Qiao

ICCV 2023 Distilling Coarse-to-Fine Semantic Matching Knowledge for Weakly Supervised 3D Visual Grounding Zehan Wang, Haifeng Huang, Yang Zhao, Linjun Li, Xize Cheng, Yichen Zhu, Aoxiong Yin, Zhou Zhao

ECML-PKDD 2023 Make a Long Image Short: Adaptive Token Length for Vision Transformers Qiqi Zhou, Yichen Zhu

IJCAI 2023 Prediction with Incomplete Data Under Agnostic Mask Distribution Shift Yichen Zhu, Jian Yuan, Bo Jiang, Tao Lin, Haiming Jin, Xinbing Wang, Chenghu Zhou

CVPR 2023 ScaleKD: Distilling Scale-Aware Knowledge in Small Object Detector Yichen Zhu, Qiqi Zhou, Ning Liu, Zhiyuan Xu, Zhicai Ou, Xiaofeng Mou, Jian Tang

ECCV 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

NeurIPS 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

ICCV 2021 Student Customized Knowledge Distillation: Bridging the Gap Between Student and Teacher Yichen Zhu, Yi Wang

IJCAI 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

ICML 2018 Nonoverlap-Promoting Variable Selection Pengtao Xie, Hongbao Zhang, Yichen Zhu, Eric Xing

ICML 2018 Orthogonality-Promoting Distance Metric Learning: Convex Relaxation and Theoretical Analysis Pengtao Xie, Wei Wu, Yichen Zhu, Eric Xing