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2020 – today
- 2024
[j11]Shuxian Sun, Ling Zhou, Yichen Zhu, Huiling Zhu, Tongtong Meng, Lucheng Ji:
PIV investigation on corner separation control in a compressor cascade based on a vortex generator. J. Vis. 27(2): 159-175 (2024)- [j10]Yichen Zhu
, Bo Jiang, Haiming Jin, Mengtian Zhang, Feng Gao, Jianqiang Huang, Tao Lin, Xinbing Wang:
Networked Time-series Prediction with Incomplete Data via Generative Adversarial Network. ACM Trans. Knowl. Discov. Data 18(5): 115:1-115:25 (2024) - [c28]Dong Chen, Ning Liu, Yichen Zhu, Zhengping Che, Rui Ma, Fachao Zhang, Xiaofeng Mou, Yi Chang, Jian Tang:
EPSD: Early Pruning with Self-Distillation for Efficient Model Compression. AAAI 2024: 11258-11266 - [c27]Wanying Wang, Yichen Zhu, Yirui Zhou, Chaomin Shen, Jian Tang, Zhiyuan Xu, Yaxin Peng, Yangchun Zhang:
Exploring Gradient Explosion in Generative Adversarial Imitation Learning: A Probabilistic Perspective. AAAI 2024: 15625-15633 - [c26]Yichen Zhu, Zhicai Ou, Xiaofeng Mou, Jian Tang:
Retrieval-Augmented Embodied Agents. CVPR 2024: 17985-17995 - [c25]Xin Liu, Yichen Zhu, Jindong Gu, Yunshi Lan, Chao Yang, Yu Qiao:
MM-SafetyBench: A Benchmark for Safety Evaluation of Multimodal Large Language Models. ECCV (56) 2024: 386-403 - [c24]Yichen Zhu, Bo Jiang:
StableMiss+: Prediction with Incomplete Data Under Agnostic Mask Distribution Shift. ICASSP 2024: 7190-7194 - [c23]Qiqi Zhou, Yichen Zhu:
When Training-Free Nas Meets Vision Transformers: A Neural Tangent Kernel Perspective. ICASSP 2024: 7405-7409 - [c22]Wang Lin, Jingyuan Chen, Jiaxin Shi, Yichen Zhu, Chen Liang, Junzhong Miao, Tao Jin, Zhou Zhao, Fei Wu, Shuicheng Yan, Hanwang Zhang:
Non-confusing Generation of Customized Concepts in Diffusion Models. ICML 2024 - [c21]Junjie Wen, Yichen Zhu, Minjie Zhu, Jinming Li, Zhiyuan Xu, Zhengping Che, Chaomin Shen, Yaxin Peng, Dong Liu, Feifei Feng, Jian Tang:
Object-Centric Instruction Augmentation for Robotic Manipulation. ICRA 2024: 4318-4325 - [c20]Minjie Zhu, Yichen Zhu, Jinming Li, Junjie Wen, Zhiyuan Xu, Zhengping Che, Chaomin Shen, Yaxin Peng, Dong Liu, Feifei Feng, Jian Tang:
Language-Conditioned Robotic Manipulation with Fast and Slow Thinking. ICRA 2024: 4333-4339 - [c19]Xin Liu, Yichen Zhu, Yunshi Lan, Chao Yang, Yu Qiao:
Safety of Multimodal Large Language Models on Images and Text. IJCAI 2024: 8151-8159 - [i33]Yichen Zhu, Minjie Zhu, Ning Liu, Zhicai Ou, Xiaofeng Mou, Jian Tang:
LLaVA-Phi: Efficient Multi-Modal Assistant with Small Language Model. CoRR abs/2401.02330 (2024) - [i32]Junjie Wen, Yichen Zhu, Minjie Zhu, Jinming Li, Zhiyuan Xu, Zhengping Che, Chaomin Shen, Yaxin Peng, Dong Liu, Feifei Feng, Jian Tang:
Object-Centric Instruction Augmentation for Robotic Manipulation. CoRR abs/2401.02814 (2024) - [i31]Minjie Zhu, Yichen Zhu, Jinming Li, Junjie Wen, Zhiyuan Xu, Zhengping Che, Chaomin Shen, Yaxin Peng, Dong Liu, Feifei Feng, Jian Tang:
Language-Conditioned Robotic Manipulation with Fast and Slow Thinking. CoRR abs/2401.04181 (2024) - [i30]Wanying Wang, Jinming Li, Yichen Zhu, Zhiyuan Xu, Zhengping Che, Yaxin Peng, Chaomin Shen, Dong Liu, Feifei Feng, Jian Tang:
Visual Robotic Manipulation with Depth-Aware Pretraining. CoRR abs/2401.09038 (2024) - [i29]Ruizhe Zhang, Xinke Jiang, Yuchen Fang, Jiayuan Luo, Yongxin Xu, Yichen Zhu, Xu Chu, Junfeng Zhao, Yasha Wang:
Infinite-Horizon Graph Filters: Leveraging Power Series to Enhance Sparse Information Aggregation. CoRR abs/2401.09943 (2024) - [i28]Dong Chen, Ning Liu, Yichen Zhu, Zhengping Che, Rui Ma, Fachao Zhang, Xiaofeng Mou, Yi Chang, Jian Tang:
EPSD: Early Pruning with Self-Distillation for Efficient Model Compression. CoRR abs/2402.00084 (2024) - [i27]Xin Liu, Yichen Zhu, Yunshi Lan, Chao Yang, Yu Qiao:
Safety of Multimodal Large Language Models on Images and Text. CoRR abs/2402.00357 (2024) - [i26]Minjie Zhu, Yichen Zhu, Xin Liu, Ning Liu, Zhiyuan Xu, Chaomin Shen, Yaxin Peng, Zhicai Ou, Feifei Feng, Jian Tang:
Mipha: A Comprehensive Overhaul of Multimodal Assistant with Small Language Models. CoRR abs/2403.06199 (2024) - [i25]Yichen Zhu, Zhicai Ou, Xiaofeng Mou, Jian Tang:
Retrieval-Augmented Embodied Agents. CoRR abs/2404.11699 (2024) - [i24]Qiqi Zhou, Yichen Zhu:
When Training-Free NAS Meets Vision Transformer: A Neural Tangent Kernel Perspective. CoRR abs/2405.04536 (2024) - [i23]Wang Lin, Jingyuan Chen, Jiaxin Shi, Yichen Zhu, Chen Liang, Junzhong Miao, Tao Jin, Zhou Zhao, Fei Wu, Shuicheng Yan, Hanwang Zhang:
Non-confusing Generation of Customized Concepts in Diffusion Models. CoRR abs/2405.06914 (2024) - [i22]Jinming Li, Yichen Zhu, Zhiyuan Xu, Jindong Gu, Minjie Zhu, Xin Liu, Ning Liu, Yaxin Peng, Feifei Feng, Jian Tang:
MMRo: Are Multimodal LLMs Eligible as the Brain for In-Home Robotics? CoRR abs/2406.19693 (2024) - [i21]Hao Wang, Xiangyu Yang, Yichen Zhu:
An Adaptive Second-order Method for a Class of Nonconvex Nonsmooth Composite Optimization. CoRR abs/2407.17216 (2024) - [i20]Junjie Wen, Yichen Zhu, Jinming Li, Minjie Zhu, Kun Wu, Zhiyuan Xu, Ning Liu, Ran Cheng, Chaomin Shen, Yaxin Peng, Feifei Feng, Jian Tang:
TinyVLA: Towards Fast, Data-Efficient Vision-Language-Action Models for Robotic Manipulation. CoRR abs/2409.12514 (2024) - [i19]Minjie Zhu, Yichen Zhu, Jinming Li, Junjie Wen, Zhiyuan Xu, Ning Liu, Ran Cheng, Chaomin Shen, Yaxin Peng, Feifei Feng, Jian Tang:
Scaling Diffusion Policy in Transformer to 1 Billion Parameters for Robotic Manipulation. CoRR abs/2409.14411 (2024) - [i18]Kun Wu, Yichen Zhu, Jinming Li, Junjie Wen, Ning Liu, Zhiyuan Xu, Qinru Qiu, Jian Tang:
Discrete Policy: Learning Disentangled Action Space for Multi-Task Robotic Manipulation. CoRR abs/2409.18707 (2024) - 2023
- [j9]Junjie Ou, Jiahui Sun, Yichen Zhu, Haiming Jin, Yijuan Liu, Fan Zhang, Jianqiang Huang, Xinbing Wang:
STP-TrellisNets+: Spatial-Temporal Parallel TrellisNets for Multi-Step Metro Station Passenger Flow Prediction. IEEE Trans. Knowl. Data Eng. 35(7): 7526-7540 (2023) - [j8]Weibin Meng, Federico Zaiter, Yuzhe Zhang, Ying Liu, Shenglin Zhang, Shimin Tao, Yichen Zhu, Tao Han, Yongpeng Zhao, En Wang, Yuzhi Zhang, Dan Pei:
LogSummary: Unstructured Log Summarization for Software Systems. IEEE Trans. Netw. Serv. Manag. 20(3): 3803-3815 (2023) - [c18]Yichen Zhu, Qiqi Zhou, Ning Liu, Zhiyuan Xu, Zhicai Ou, Xiaofeng Mou, Jian Tang:
ScaleKD: Distilling Scale-Aware Knowledge in Small Object Detector. CVPR 2023: 19723-19733 - [c17]Zehan Wang, Haifeng Huang, Yang Zhao, Linjun Li, Xize Cheng, Yichen Zhu, Aoxiong Yin, Zhou Zhao:
3DRP-Net: 3D Relative Position-aware Network for 3D Visual Grounding. EMNLP 2023: 10612-10625 - [c16]Zehan Wang, Haifeng Huang, Yang Zhao, Linjun Li, Xize Cheng, Yichen Zhu, Aoxiong Yin, Zhou Zhao:
Distilling Coarse-to-Fine Semantic Matching Knowledge for Weakly Supervised 3D Visual Grounding. ICCV 2023: 2662-2671 - [c15]Yichen Zhu, Jian Yuan, Bo Jiang, Tao Lin, Haiming Jin, Xinbing Wang, Chenghu Zhou:
Prediction with Incomplete Data under Agnostic Mask Distribution Shift. IJCAI 2023: 4720-4728 - [c14]Jiaben Chen, Yichen Zhu, Dongze Lian, Jiaqi Yang, Yifu Wang, Renrui Zhang, Xinhang Liu, Shenhan Qian, Laurent Kneip, Shenghua Gao:
Revisiting Event-Based Video Frame Interpolation. IROS 2023: 1292-1299 - [c13]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:
Biglog: Unsupervised Large-scale Pre-training for a Unified Log Representation. IWQoS 2023: 1-11 - [c12]Qiqi Zhou, Yichen Zhu:
Make a Long Image Short: Adaptive Token Length for Vision Transformers. ECML/PKDD (2) 2023: 69-85 - [i17]Yichen Zhu, Jian Yuan, Bo Jiang, Tao Lin, Haiming Jin, Xinbing Wang, Chenghu Zhou:
Prediction with Incomplete Data under Agnostic Mask Distribution Shift. CoRR abs/2305.11197 (2023) - [i16]Qiqi Zhou, Yichen Zhu:
Make A Long Image Short: Adaptive Token Length for Vision Transformers. CoRR abs/2307.02092 (2023) - [i15]Zehan Wang, Haifeng Huang, Yang Zhao, Linjun Li, Xize Cheng, Yichen Zhu, Aoxiong Yin, Zhou Zhao:
Distilling Coarse-to-Fine Semantic Matching Knowledge for Weakly Supervised 3D Visual Grounding. CoRR abs/2307.09267 (2023) - [i14]Jiaben Chen, Yichen Zhu, Dongze Lian, Jiaqi Yang, Yifu Wang, Renrui Zhang, Xinhang Liu, Shenhan Qian, Laurent Kneip, Shenghua Gao:
Revisiting Event-based Video Frame Interpolation. CoRR abs/2307.12558 (2023) - [i13]Zehan Wang, Haifeng Huang, Yang Zhao, Linjun Li, Xize Cheng, Yichen Zhu, Aoxiong Yin, Zhou Zhao:
3DRP-Net: 3D Relative Position-aware Network for 3D Visual Grounding. CoRR abs/2307.13363 (2023) - [i12]Zijian Zhang, Luping Liu, Zhijie Lin, Yichen Zhu, Zhou Zhao:
Unsupervised Discovery of Interpretable Directions in h-space of Pre-trained Diffusion Models. CoRR abs/2310.09912 (2023) - [i11]Xin Liu, Yichen Zhu, Yunshi Lan, Chao Yang, Yu Qiao:
Query-Relevant Images Jailbreak Large Multi-Modal Models. CoRR abs/2311.17600 (2023) - [i10]Wanying Wang, Yichen Zhu, Yirui Zhou, Chaomin Shen, Jian Tang, Zhiyuan Xu, Yaxin Peng, Yangchun Zhang:
Exploring Gradient Explosion in Generative Adversarial Imitation Learning: A Probabilistic Perspective. CoRR abs/2312.11214 (2023) - 2022
- [j7]Yichen Zhu, Xiaowei Fu:
BNNAS++: Towards Unbiased Neural Architecture Search With Batch Normalization. IEEE Access 10: 128424-128432 (2022) - [j6]Yichen Zhu, Marcos Escobar-Anel:
Polynomial affine approach to HARA utility maximization with applications to OrnsteinUhlenbeck 4/2 models. Appl. Math. Comput. 418: 126836 (2022) - [j5]Yichen Zhu, Lili Wei, Congyan Lang, Siyu Li, Songhe Feng, Yidong Li:
Fine-grained facial expression recognition via relational reasoning and hierarchical relation optimization. Pattern Recognit. Lett. 164: 67-73 (2022) - [j4]Shimin Tao, Weibin Meng, Yimeng Chen, Yichen Zhu, Ying Liu, Chunning Du, Tao Han, Yongpeng Zhao, Xiangguang Wang, Hao Yang:
LogStamp: Automatic Online Log Parsing Based on Sequence Labelling. SIGMETRICS Perform. Evaluation Rev. 49(4): 93-98 (2022) - [c11]Yaomin Huang, Xinmei Liu, Yichen Zhu, Zhiyuan Xu, Chaomin Shen, Zhengping Che, Guixu Zhang, Yaxin Peng, Feifei Feng, Jian Tang:
Label-Guided Auxiliary Training Improves 3D Object Detector. ECCV (9) 2022: 684-700 - [c10]Yichen Zhu, Ning Liu, Zhiyuan Xu, Xin Liu, Weibin Meng, Louis Wang, Zhicai Ou, Jian Tang:
Teach Less, Learn More: On the Undistillable Classes in Knowledge Distillation. NeurIPS 2022 - [i9]Yaomin Huang, Xinmei Liu, Yichen Zhu, Zhiyuan Xu, Chaomin Shen, Zhengping Che, Guixu Zhang, Yaxin Peng, Feifei Feng, Jian Tang:
Label-Guided Auxiliary Training Improves 3D Object Detector. CoRR abs/2207.11753 (2022) - [i8]Shimin Tao, Weibin Meng, Yimeng Chen, Yichen Zhu, Ying Liu, Chunning Du, Tao Han, Yongpeng Zhao, Xiangguang Wang, Hao Yang:
LogStamp: Automatic Online Log Parsing Based on Sequence Labelling. CoRR abs/2208.10282 (2022) - 2021
- [c9]Yichen Zhu, Yi Wang:
Student Customized Knowledge Distillation: Bridging the Gap Between Student and Teacher. ICCV 2021: 5037-5046 - [i7]Yichen Zhu, Mengtian Zhang, Bo Jiang, Haiming Jin, Jianqiang Huang, Xinbing Wang:
Networked Time Series Prediction with Incomplete Data. CoRR abs/2110.02271 (2021) - [i6]Yichen Zhu, Jie Du, Yuqin Zhu, Yi Wang, Zhicai Ou, Feifei Feng, Jian Tang:
Training BatchNorm Only in Neural Architecture Search and Beyond. CoRR abs/2112.00265 (2021) - [i5]Yichen Zhu, Yuqin Zhu, Jie Du, Yi Wang, Zhicai Ou, Feifei Feng, Jian Tang:
Make A Long Image Short: Adaptive Token Length for Vision Transformers. CoRR abs/2112.01686 (2021) - [i4]Yichen Zhu, Weibin Meng, Ying Liu, Shenglin Zhang, Tao Han, Shimin Tao, Dan Pei:
UniLog: Deploy One Model and Specialize it for All Log Analysis Tasks. CoRR abs/2112.03159 (2021) - 2020
- [c8]Junjie Ou, Jiahui Sun, Yichen Zhu, Haiming Jin, Yijuan Liu, Fan Zhang, Jianqiang Huang, Xinbing Wang:
STP-TrellisNets: Spatial-Temporal Parallel TrellisNets for Metro Station Passenger Flow Prediction. CIKM 2020: 1185-1194 - [c7]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:
LogParse: Making Log Parsing Adaptive through Word Classification. ICCCN 2020: 1-9 - [c6]Yichen Zhu, Yang Chen, Adam Ghandar:
Evolving Neural Networks for Prediction with Negative Correlation Search: Application in Consumer Demand Forecasting. SSCI 2020: 384-391 - [i3]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:
Summarizing Unstructured Logs in Online Services. CoRR abs/2012.08938 (2020)
2010 – 2019
- 2019
- [j3]Yuanning Gao, Xiaofeng Gao, Yichen Zhu, Guihai Chen:
An efficient and scalable multi-dimensional indexing scheme for modular data centers. Data Knowl. Eng. 123 (2019) - [j2]Xinyi Yu, Yichen Zhu, Liang Lu, Linlin Ou:
Dynamic Window with Virtual Goal (DW-VG): a New Reactive Obstacle Avoidance Approach Based on Motion Prediction. Robotica 37(8): 1438-1456 (2019) - [j1]Xiaofeng Gao, Yuanning Gao, Yichen Zhu, Guihai Chen:
U2-Tree: A Universal Two-Layer Distributed Indexing Scheme for Cloud Storage System. IEEE/ACM Trans. Netw. 27(1): 201-213 (2019) - [c5]Weibin Meng, Ying Liu, Yichen Zhu, Shenglin Zhang, Dan Pei, Yuqing Liu, Yihao Chen, Ruizhi Zhang, Shimin Tao, Pei Sun, Rong Zhou:
LogAnomaly: Unsupervised Detection of Sequential and Quantitative Anomalies in Unstructured Logs. IJCAI 2019: 4739-4745 - [c4]Huichu Zhang, Siyuan Feng, Chang Liu, Yaoyao Ding, Yichen Zhu, Zihan Zhou, Weinan Zhang, Yong Yu, Haiming Jin, Zhenhui Li:
CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario. WWW 2019: 3620-3624 - [i2]Huichu Zhang, Siyuan Feng, Chang Liu, Yaoyao Ding, Yichen Zhu, Zihan Zhou, Weinan Zhang, Yong Yu, Haiming Jin, Zhenhui Li:
CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario. CoRR abs/1905.05217 (2019) - 2018
- [c3]Jiang Gu, Yichen Zhu, Bohong Yang, Jingkai Jia, Juanjuan Wang, Jian Yang, Wenqiang Zhang:
A Multi-scale Pyramid of Fully Convolutional Networks for Automatic Cell Detection. BIBM 2018: 633-636 - [c2]Pengtao Xie, Wei Wu, Yichen Zhu, Eric P. Xing:
Orthogonality-Promoting Distance Metric Learning: Convex Relaxation and Theoretical Analysis. ICML 2018: 5399-5408 - [c1]Pengtao Xie, Hongbao Zhang, Yichen Zhu, Eric P. Xing:
Nonoverlap-Promoting Variable Selection. ICML 2018: 5409-5418 - [i1]Pengtao Xie, Wei Wu, Yichen Zhu, Eric P. Xing:
Orthogonality-Promoting Distance Metric Learning: Convex Relaxation and Theoretical Analysis. CoRR abs/1802.06014 (2018)
Coauthor Index
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