Yichen Zhu

According to our database, Yichen Zhu authored at least 58 papers between 2018 and 2024.

Collaborative distances:

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

2024

Networked Time-series Prediction with Incomplete Data via Generative Adversarial Network.

Yichen Zhu, Bo Jiang, Haiming Jin, Mengtian Zhang, Feng Gao, Jianqiang Huang, Tao Lin, Xinbing Wang

ACM Trans. Knowl. Discov. Data, June, 2024

PIV investigation on corner separation control in a compressor cascade based on a vortex generator.

Shuxian Sun, Ling Zhou, Yichen Zhu, Huiling Zhu, Tongtong Meng, Lucheng Ji

J. Vis., April, 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

CoRR, 2024

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

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

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

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

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

An Adaptive Second-order Method for a Class of Nonconvex Nonsmooth Composite Optimization.

Hao Wang, Xiangyu Yang, Yichen Zhu

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

When Training-Free NAS Meets Vision Transformer: A Neural Tangent Kernel Perspective.

Qiqi Zhou, Yichen Zhu

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

Infinite-Horizon Graph Filters: Leveraging Power Series to Enhance Sparse Information Aggregation.

Ruizhe Zhang, Xinke Jiang, Yuchen Fang, Jiayuan Luo, Yongxin Xu, Yichen Zhu, Xu Chu, Junfeng Zhao, Yasha Wang

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

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

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

StableMiss+: Prediction with Incomplete Data Under Agnostic Mask Distribution Shift.

Yichen Zhu, Bo Jiang

Proceedings of the IEEE International Conference on Acoustics, 2024

When Training-Free Nas Meets Vision Transformers: A Neural Tangent Kernel Perspective.

Qiqi Zhou, Yichen Zhu

Proceedings of the IEEE International Conference on Acoustics, 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

STP-TrellisNets+: Spatial-Temporal Parallel TrellisNets for Multi-Step Metro Station Passenger Flow Prediction.

Junjie Ou, Jiahui Sun, Yichen Zhu, Haiming Jin, Yijuan Liu, Fan Zhang, Jianqiang Huang, Xinbing Wang

IEEE Trans. Knowl. Data Eng., July, 2023

Query-Relevant Images Jailbreak Large Multi-Modal Models.

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

CoRR, 2023

Unsupervised Discovery of Interpretable Directions in h-space of Pre-trained Diffusion Models.

Zijian Zhang, Luping Liu, Zhijie Lin, Yichen Zhu, Zhou Zhao

CoRR, 2023

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

Qiqi Zhou, Yichen Zhu

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 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

Revisiting Event-Based Video Frame Interpolation.

Jiaben Chen, Yichen Zhu, Dongze Lian, Jiaqi Yang, Yifu Wang, Renrui Zhang, Xinhang Liu, Shenhan Qian, Laurent Kneip, Shenghua Gao

IROS, 2023

Prediction with Incomplete Data under Agnostic Mask Distribution Shift.

Yichen Zhu, Jian Yuan, Bo Jiang, Tao Lin, Haiming Jin, Xinbing Wang, Chenghu Zhou

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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

3DRP-Net: 3D Relative Position-aware Network for 3D Visual Grounding.

Zehan Wang, Haifeng Huang, Yang Zhao, Linjun Li, Xize Cheng, Yichen Zhu, Aoxiong Yin, Zhou Zhao

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 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

Fine-grained facial expression recognition via relational reasoning and hierarchical relation optimization.

Yichen Zhu, Lili Wei, Congyan Lang, Siyu Li, Songhe Feng, Yidong Li

Pattern Recognit. Lett., 2022

Polynomial affine approach to HARA utility maximization with applications to OrnsteinUhlenbeck 4/2 models.

Yichen Zhu, Marcos Escobar-Anel

Appl. Math. Comput., 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

Networked Time Series Prediction with Incomplete Data.

Yichen Zhu, Mengtian Zhang, Bo Jiang, Haiming Jin, Jianqiang Huang, Xinbing Wang

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

Evolving Neural Networks for Prediction with Negative Correlation Search: Application in Consumer Demand Forecasting.

Yichen Zhu, Yang Chen, Adam Ghandar

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 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

STP-TrellisNets: Spatial-Temporal Parallel TrellisNets for Metro Station Passenger Flow Prediction.

Junjie Ou, Jiahui Sun, Yichen Zhu, Haiming Jin, Yijuan Liu, Fan Zhang, Jianqiang Huang, Xinbing Wang

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

U²-Tree: A Universal Two-Layer Distributed Indexing Scheme for Cloud Storage System.

Xiaofeng Gao, Yuanning Gao, Yichen Zhu, Guihai Chen

IEEE/ACM Trans. Netw., 2019

Dynamic Window with Virtual Goal (DW-VG): a New Reactive Obstacle Avoidance Approach Based on Motion Prediction.

Xinyi Yu, Yichen Zhu, Liang Lu, Linlin Ou

Robotica, 2019

An efficient and scalable multi-dimensional indexing scheme for modular data centers.

Yuanning Gao, Xiaofeng Gao, Yichen Zhu, Guihai Chen

Data Knowl. Eng., 2019

CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario.

Huichu Zhang, Siyuan Feng, Chang Liu, Yaoyao Ding, Yichen Zhu, Zihan Zhou, Weinan Zhang, Yong Yu, Haiming Jin, Zhenhui Li

Proceedings of the World Wide Web Conference, 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

Nonoverlap-Promoting Variable Selection.

Pengtao Xie, Hongbao Zhang, Yichen Zhu, Eric P. Xing

Proceedings of the 35th International Conference on Machine Learning, 2018

Orthogonality-Promoting Distance Metric Learning: Convex Relaxation and Theoretical Analysis.

Pengtao Xie, Wei Wu, Yichen Zhu, Eric P. Xing

Proceedings of the 35th International Conference on Machine Learning, 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