Mengchen Liu

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 79

Top Topics

Matrix Decomposition

Neural Architecture

Image Recognition

Top Venues

IEEE Trans. Vis. Comput. Graph.

Publications

Wenbai Chen, Mengchen Liu, Chunjiang Zhao, Xingxu Li, Yiqun Wang
MTD-YOLO: Multi-task deep convolutional neural network for cherry tomato fruit bunch maturity detection. Comput. Electron. Agric. 216 (2024)
Wan-Cyuan Fan, Yen-Chun Chen, Mengchen Liu, Lu Yuan, Leonid Sigal
On Pre-training of Multimodal Language Models Customized for Chart Understanding. CoRR (2024)
Hongyuan Yu, Cheng Wan, Mengchen Liu, Dongdong Chen, Bin Xiao, Xiyang Dai
Real-Time Image Segmentation via Hybrid Convolutional-Transformer Architecture Search. CoRR (2024)
Weikai Yang, Mengchen Liu, Zheng Wang, Shixia Liu
Foundation models meet visualizations: Challenges and opportunities. Comput. Vis. Media 10 (3) (2024)
Ziyu Jiang, Yinpeng Chen, Mengchen Liu, Dongdong Chen, Xiyang Dai, Lu Yuan, Zicheng Liu, Zhangyang Wang
Layer Grafted Pre-training: Bridging Contrastive Learning And Masked Image Modeling For Label-Efficient Representations. ICLR (2023)
Kan Wu, Houwen Peng, Zhenghong Zhou, Bin Xiao, Mengchen Liu, Lu Yuan, Hong Xuan, Michael Valenzuela, Xi Chen, Xinggang Wang, Hongyang Chao, Han Hu
TinyCLIP: CLIP Distillation via Affinity Mimicking and Weight Inheritance. CoRR (2023)
Mengchen Liu, Chongyan Chen
An Evaluation of GPT-4V and Gemini in Online VQA. CoRR (2023)
Lingchen Meng, Xiyang Dai, Jianwei Yang, Dongdong Chen, Yinpeng Chen, Mengchen Liu, Yi-Ling Chen, Zuxuan Wu, Lu Yuan, Yu-Gang Jiang
Learning from Rich Semantics and Coarse Locations for Long-tailed Object Detection. CoRR (2023)
Kan Wu, Houwen Peng, Zhenghong Zhou, Bin Xiao, Mengchen Liu, Lu Yuan, Hong Xuan, Michael Valenzuela, Xi Stephen Chen, Xinggang Wang, Hongyang Chao, Han Hu
TinyCLIP: CLIP Distillation via Affinity Mimicking and Weight Inheritance. ICCV (2023)
Mengchen Liu, Yiqun Wang, Xingxu Li, Wei Han, Wenbai Chen
Multi-task Tomato Fruit and Bunch Maturity Detection Approach Based on Improved YOLOv7. CCIS (2023)
Lingchen Meng, Xiyang Dai, Jianwei Yang, Dongdong Chen, Yinpeng Chen, Mengchen Liu, Yi-Ling Chen, Zuxuan Wu, Lu Yuan, Yu-Gang Jiang
Learning from Rich Semantics and Coarse Locations for Long-tailed Object Detection. NeurIPS (2023)
Chongyan Chen, Mengchen Liu, Noel Codella, Yunsheng Li, Lu Yuan, Danna Gurari
Fully Authentic Visual Question Answering Dataset from Online Communities. CoRR (2023)
Rui Wang, Dongdong Chen, Zuxuan Wu, Yinpeng Chen, Xiyang Dai, Mengchen Liu, Lu Yuan, Yu-Gang Jiang
Masked Video Distillation: Rethinking Masked Feature Modeling for Self-supervised Video Representation Learning. CVPR (2023)
Weikai Yang, Mengchen Liu, Zheng Wang, Shixia Liu
Foundation Models Meet Visualizations: Challenges and Opportunities. CoRR (2023)
Yinpeng Chen, Xiyang Dai, Dongdong Chen, Mengchen Liu, Lu Yuan, Zicheng Liu, Youzuo Lin
Image is First-order Norm+Linear Autoregressive. CoRR (2023)
Lingchen Meng, Xiyang Dai, Yinpeng Chen, Pengchuan Zhang, Dongdong Chen, Mengchen Liu, Jianfeng Wang, Zuxuan Wu, Lu Yuan, Yu-Gang Jiang
Detection Hub: Unifying Object Detection Datasets via Query Adaptation on Language Embedding. CVPR (2023)
Yinpeng Chen, Dongdong Chen, Xiyang Dai, Mengchen Liu, Lu Yuan, Zicheng Liu, Youzuo Lin
On the Hidden Waves of Image. CoRR (2023)
Jun Yuan, Mengchen Liu, Fengyuan Tian, Shixia Liu
Visual Analysis of Neural Architecture Spaces for Summarizing Design Principles. IEEE Trans. Vis. Comput. Graph. 29 (1) (2023)
Ziyu Jiang, Yinpeng Chen, Mengchen Liu, Dongdong Chen, Xiyang Dai, Lu Yuan, Zicheng Liu, Zhangyang Wang
Layer Grafted Pre-training: Bridging Contrastive Learning And Masked Image Modeling For Label-Efficient Representations. CoRR (2023)
Yunsheng Li, Yinpeng Chen, Xiyang Dai, Dongdong Chen, Mengchen Liu, Pei Yu, Jing Yin, Lu Yuan, Zicheng Liu, Nuno Vasconcelos
Should All Proposals be Treated Equally in Object Detection? CoRR (2022)
Kan Wu, Jinnian Zhang, Houwen Peng, Mengchen Liu, Bin Xiao, Jianlong Fu, Lu Yuan
TinyViT: Fast Pretraining Distillation for Small Vision Transformers. CoRR (2022)
Yinpeng Chen, Xiyang Dai, Dongdong Chen, Mengchen Liu, Xiaoyi Dong, Lu Yuan, Zicheng Liu
Mobile-Former: Bridging MobileNet and Transformer. CVPR (2022)
Jinnian Zhang, Houwen Peng, Kan Wu, Mengchen Liu, Bin Xiao, Jianlong Fu, Lu Yuan
MiniViT: Compressing Vision Transformers with Weight Multiplexing. CoRR (2022)
Yinpeng Chen, Xiyang Dai, Dongdong Chen, Mengchen Liu, Lu Yuan, Zicheng Liu, Youzuo Lin
Self-Supervised Learning based on Heat Equation. CoRR (2022)
Qiankun Liu, Zhentao Tan, Dongdong Chen, Qi Chu, Xiyang Dai, Yinpeng Chen, Mengchen Liu, Lu Yuan, Nenghai Yu
Reduce Information Loss in Transformers for Pluralistic Image Inpainting. CVPR (2022)
Qiankun Liu, Zhentao Tan, Dongdong Chen, Qi Chu, Xiyang Dai, Yinpeng Chen, Mengchen Liu, Lu Yuan, Nenghai Yu
Reduce Information Loss in Transformers for Pluralistic Image Inpainting. CoRR (2022)
Kan Wu, Jinnian Zhang, Houwen Peng, Mengchen Liu, Bin Xiao, Jianlong Fu, Lu Yuan
TinyViT: Fast Pretraining Distillation for Small Vision Transformers. ECCV (21) (2022)
Jinnian Zhang, Houwen Peng, Kan Wu, Mengchen Liu, Bin Xiao, Jianlong Fu, Lu Yuan
MiniViT: Compressing Vision Transformers with Weight Multiplexing. CVPR (2022)
Yunsheng Li, Yinpeng Chen, Xiyang Dai, Dongdong Chen, Mengchen Liu, Pei Yu, Ying Jin, Lu Yuan, Zicheng Liu, Nuno Vasconcelos
Should All Proposals Be Treated Equally in Object Detection? ECCV (25) (2022)
Lingchen Meng, Xiyang Dai, Yinpeng Chen, Pengchuan Zhang, Dongdong Chen, Mengchen Liu, Jianfeng Wang, Zuxuan Wu, Lu Yuan, Yu-Gang Jiang
Detection Hub: Unifying Object Detection Datasets via Query Adaptation on Language Embedding. CoRR (2022)
Lemeng Wu, Mengchen Liu, Yinpeng Chen, Dongdong Chen, Xiyang Dai, Lu Yuan
Residual Mixture of Experts. CoRR (2022)
Rui Wang, Dongdong Chen, Zuxuan Wu, Yinpeng Chen, Xiyang Dai, Mengchen Liu, Yu-Gang Jiang, Luowei Zhou, Lu Yuan
BEVT: BERT Pretraining of Video Transformers. CVPR (2022)
Rui Wang, Zuxuan Wu, Dongdong Chen, Yinpeng Chen, Xiyang Dai, Mengchen Liu, Luowei Zhou, Lu Yuan, Yu-Gang Jiang
Video Mobile-Former: Video Recognition with Efficient Global Spatial-temporal Modeling. CoRR (2022)
Jun Yuan, Mengchen Liu, Fengyuan Tian, Shixia Liu
Visual Analysis of Neural Architecture Spaces for Summarizing Design Principles. CoRR (2022)
Rui Wang, Dongdong Chen, Zuxuan Wu, Yinpeng Chen, Xiyang Dai, Mengchen Liu, Lu Yuan, Yu-Gang Jiang
Masked Video Distillation: Rethinking Masked Feature Modeling for Self-supervised Video Representation Learning. CoRR (2022)
Jun Yuan, Changjian Chen, Weikai Yang, Mengchen Liu, Jiazhi Xia, Shixia Liu
A survey of visual analytics techniques for machine learning. Comput. Vis. Media 7 (1) (2021)
Yunsheng Li, Yinpeng Chen, Xiyang Dai, Dongdong Chen, Mengchen Liu, Lu Yuan, Zicheng Liu, Lei Zhang, Nuno Vasconcelos
MicroNet: Improving Image Recognition with Extremely Low FLOPs. CoRR (2021)
Kelei Cao, Mengchen Liu, Hang Su, Jing Wu, Jun Zhu, Shixia Liu
Analyzing the Noise Robustness of Deep Neural Networks. IEEE Trans. Vis. Comput. Graph. 27 (7) (2021)
Xiyang Dai, Yinpeng Chen, Bin Xiao, Dongdong Chen, Mengchen Liu, Lu Yuan, Lei Zhang
Dynamic Head: Unifying Object Detection Heads with Attentions. CoRR (2021)
Yunsheng Li, Yinpeng Chen, Xiyang Dai, Mengchen Liu, Dongdong Chen, Ye Yu, Lu Yuan, Zicheng Liu, Mei Chen, Nuno Vasconcelos
Revisiting Dynamic Convolution via Matrix Decomposition. CoRR (2021)
Rui Wang, Dongdong Chen, Zuxuan Wu, Yinpeng Chen, Xiyang Dai, Mengchen Liu, Yu-Gang Jiang, Luowei Zhou, Lu Yuan
BEVT: BERT Pretraining of Video Transformers. CoRR (2021)
Xiyang Dai, Yinpeng Chen, Bin Xiao, Dongdong Chen, Mengchen Liu, Lu Yuan, Lei Zhang
Dynamic Head: Unifying Object Detection Heads With Attentions. CVPR (2021)
Junru Wu, Xiyang Dai, Dongdong Chen, Yinpeng Chen, Mengchen Liu, Ye Yu, Zhangyang Wang, Zicheng Liu, Mei Chen, Lu Yuan
Stronger NAS with Weaker Predictors. NeurIPS (2021)
Haiping Wu, Bin Xiao, Noel Codella, Mengchen Liu, Xiyang Dai, Lu Yuan, Lei Zhang
CvT: Introducing Convolutions to Vision Transformers. ICCV (2021)
Yunsheng Li, Yinpeng Chen, Xiyang Dai, Dongdong Chen, Mengchen Liu, Lu Yuan, Zicheng Liu, Lei Zhang, Nuno Vasconcelos
MicroNet: Improving Image Recognition with Extremely Low FLOPs. ICCV (2021)
Yinpeng Chen, Xiyang Dai, Dongdong Chen, Mengchen Liu, Xiaoyi Dong, Lu Yuan, Zicheng Liu
Mobile-Former: Bridging MobileNet and Transformer. CoRR (2021)
Yunsheng Li, Yinpeng Chen, Xiyang Dai, Mengchen Liu, Dongdong Chen, Ye Yu, Lu Yuan, Zicheng Liu, Mei Chen, Nuno Vasconcelos
Revisiting Dynamic Convolution via Matrix Decomposition. ICLR (2021)
Lu Yuan, Dongdong Chen, Yi-Ling Chen, Noel Codella, Xiyang Dai, Jianfeng Gao, Houdong Hu, Xuedong Huang, Boxin Li, Chunyuan Li, Ce Liu, Mengchen Liu, Zicheng Liu, Yumao Lu, Yu Shi, Lijuan Wang, Jianfeng Wang, Bin Xiao, Zhen Xiao, Jianwei Yang, Michael Zeng, Luowei Zhou, Pengchuan Zhang
Florence: A New Foundation Model for Computer Vision. CoRR (2021)
Haiping Wu, Bin Xiao, Noel Codella, Mengchen Liu, Xiyang Dai, Lu Yuan, Lei Zhang
CvT: Introducing Convolutions to Vision Transformers. CoRR (2021)
Junru Wu, Xiyang Dai, Dongdong Chen, Yinpeng Chen, Mengchen Liu, Ye Yu, Zhangyang Wang, Zicheng Liu, Mei Chen, Lu Yuan
Weak NAS Predictors Are All You Need. CoRR (2021)
Xiang Wang, Zongmin Zhao, Dongdong Xu, Zhun Zhang, Qiang Hao, Mengchen Liu
An M-Cache-Based Security Monitoring and Fault Recovery Architecture for Embedded Processor. IEEE Trans. Very Large Scale Integr. Syst. 28 (11) (2020)
Xiyang Dai, Dongdong Chen, Mengchen Liu, Yinpeng Chen, Lu Yuan
DA-NAS: Data Adapted Pruning for Efficient Neural Architecture Search. ECCV (27) (2020)
Weikai Yang, Zhen Li, Mengchen Liu, Yafeng Lu, Kelei Cao, Ross Maciejewski, Shixia Liu
Diagnosing Concept Drift with Visual Analytics. CoRR (2020)
Yinpeng Chen, Xiyang Dai, Mengchen Liu, Dongdong Chen, Lu Yuan, Zicheng Liu
Dynamic ReLU. ECCV (19) (2020)
Weikai Yang, Zhen Li, Mengchen Liu, Yafeng Lu, Kelei Cao, Ross Maciejewski, Shixia Liu
Diagnosing Concept Drift with Visual Analytics. IEEE VAST@IEEE VIS (2020)
Jun Yuan, Changjian Chen, Weikai Yang, Mengchen Liu, Jiazhi Xia, Shixia Liu
A Survey of Visual Analytics Techniques for Machine Learning. CoRR (2020)
Yunsheng Li, Yinpeng Chen, Xiyang Dai, Dongdong Chen, Mengchen Liu, Lu Yuan, Zicheng Liu, Lei Zhang, Nuno Vasconcelos
MicroNet: Towards Image Recognition with Extremely Low FLOPs. CoRR (2020)
Yinpeng Chen, Xiyang Dai, Mengchen Liu, Dongdong Chen, Lu Yuan, Zicheng Liu
Dynamic Convolution: Attention Over Convolution Kernels. CVPR (2020)
Kelei Cao, Mengchen Liu, Hang Su, Jing Wu, Jun Zhu, Shixia Liu
Analyzing the Noise Robustness of Deep Neural Networks. CoRR (2020)
Yinpeng Chen, Xiyang Dai, Mengchen Liu, Dongdong Chen, Lu Yuan, Zicheng Liu
Dynamic ReLU. CoRR (2020)
Xiyang Dai, Dongdong Chen, Mengchen Liu, Yinpeng Chen, Lu Yuan
DA-NAS: Data Adapted Pruning for Efficient Neural Architecture Search. CoRR (2020)
Yinpeng Chen, Xiyang Dai, Mengchen Liu, Dongdong Chen, Lu Yuan, Zicheng Liu
Dynamic Convolution: Attention over Convolution Kernels. CoRR (2019)
Hong Su, Mengchen Liu, Saisai Sun, Zhenling Peng, Jianyi Yang
Improving the prediction of protein-nucleic acids binding residues via multiple sequence profiles and the consensus of complementary methods. Bioinform. 35 (6) (2019)
Jun Yang, Mengchen Liu, Jiayi Lu, Yiming Miao, M. Anwar Hossain, Mohammed F. Alhamid
Botanical Internet of Things: Toward Smart Indoor Farming by Connecting People, Plant, Data and Clouds. Mob. Networks Appl. 23 (2) (2018)
Mengchen Liu, Shixia Liu, Hang Su, Kelei Cao, Jun Zhu
Analyzing the Noise Robustness of Deep Neural Networks. VAST (2018)
Mengchen Liu, Yue Hu, Shuang Wang, Yanhe Guo, Biao Hou, Licheng Jiao, Xiaojin Hou
Fully Convolutional Semi-Supervised Gan for Polsar Classification. IGARSS (2018)
Mengchen Liu, Jiaxin Shi, Kelei Cao, Jun Zhu, Shixia Liu
Analyzing the Training Processes of Deep Generative Models. IEEE Trans. Vis. Comput. Graph. 24 (1) (2018)
Jun Yang, Mengchen Liu, Zeru Wei, Chao Han, Wei Li, Yiming Miao
RoCoSense: Integrating Robotics, Smart Clothing and Big Data Clouds for Emotion Sensing. IWCMC (2018)
Mengchen Liu, Shixia Liu, Hang Su, Kelei Cao, Jun Zhu
Analyzing the Noise Robustness of Deep Neural Networks. CoRR (2018)
Min Chen, Jun Yang, Xuan Zhu, Xiaofei Wang, Mengchen Liu, Jeungeun Song
Smart Home 2.0: Innovative Smart Home System Powered by Botanical IoT and Emotion Detection. Mob. Networks Appl. 22 (6) (2017)
Shixia Liu, Xiting Wang, Mengchen Liu, Jun Zhu
Towards Better Analysis of Machine Learning Models: A Visual Analytics Perspective. CoRR (2017)
Mohd Usama, Mengchen Liu, Min Chen
Job schedulers for Big data processing in Hadoop environment: testing real-life schedulers using benchmark programs. Digit. Commun. Networks 3 (4) (2017)
Mengchen Liu, Liu Jiang, Junlin Liu, Xiting Wang, Jun Zhu, Shixia Liu
Improving Learning-from-Crowds through Expert Validation. IJCAI (2017)
Shixia Liu, Xiting Wang, Mengchen Liu, Jun Zhu
Towards better analysis of machine learning models: A visual analytics perspective. Vis. Informatics 1 (1) (2017)
Mengchen Liu, Jiaxin Shi, Zhen Li, Chongxuan Li, Jun Zhu, Shixia Liu
Towards Better Analysis of Deep Convolutional Neural Networks. IEEE Trans. Vis. Comput. Graph. 23 (1) (2017)
Mengchen Liu, Kai Lin, Jun Yang, Dengming Xiao, Yiming Miao, Lu Wang, Wei Li, Zeru Wei, Jiayi Lu
Mobile Cloud Platform: Architecture, Deployment and Big Data Applications. CloudComp (2016)
Mengchen Liu, Jiaxin Shi, Zhen Li, Chongxuan Li, Jun Zhu, Shixia Liu
Towards Better Analysis of Deep Convolutional Neural Networks. CoRR (2016)
Mengchen Liu, Shixia Liu, Xizhou Zhu, Qinying Liao, Furu Wei, Shimei Pan
An Uncertainty-Aware Approach for Exploratory Microblog Retrieval. IEEE Trans. Vis. Comput. Graph. 22 (1) (2016)
Tai-Quan Peng, Mengchen Liu, Yingcai Wu, Shixia Liu
Follower-Followee Network, Communication Networks, and Vote Agreement of the U.S. Members of Congress. Commun. Res. 43 (7) (2016)
Yu Meng, Hui Zhang, Mengchen Liu, Shixia Liu
Clutter-aware label layout. PacificVis (2015)
Mengchen Liu, Shixia Liu, Xizhou Zhu, Qinying Liao, Furu Wei, Shimei Pan
An Uncertainty-Aware Approach for Exploratory Microblog Retrieval. CoRR (2015)
Yingcai Wu, Shixia Liu, Kai Yan, Mengchen Liu, Fangzhao Wu
OpinionFlow: Visual Analysis of Opinion Diffusion on Social Media. IEEE Trans. Vis. Comput. Graph. 20 (12) (2014)
Shixia Liu, Weiwei Cui, Yingcai Wu, Mengchen Liu
A survey on information visualization: recent advances and challenges. Vis. Comput. 30 (12) (2014)
Shixia Liu, Yingcai Wu, Enxun Wei, Mengchen Liu, Yang Liu
StoryFlow: Tracking the Evolution of Stories. IEEE Trans. Vis. Comput. Graph. 19 (12) (2013)