Mengchen Liu

According to our database, Mengchen Liu authored at least 64 papers between 2013 and 2025.

Collaborative distances:

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

2025

Benchmarking Large and Small MLLMs.

Xuelu Feng, Yunsheng Li, Dongdong Chen, Mei Gao, Mengchen Liu, Junsong Yuan, Chunming Qiao

CoRR, January, 2025

2024

Foundation models meet visualizations: Challenges and opportunities.

Weikai Yang, Mengchen Liu, Zheng Wang, Shixia Liu

Comput. Vis. Media, June, 2024

MTD-YOLO: Multi-task deep convolutional neural network for cherry tomato fruit bunch maturity detection.

Wenbai Chen, Mengchen Liu, Chunjiang Zhao, Xingxu Li, Yiqun Wang

Comput. Electron. Agric., January, 2024

ToolBridge: An Open-Source Dataset to Equip LLMs with External Tool Capabilities.

Zhenchao Jin, Mengchen Liu, Dongdong Chen, Lingting Zhu, Yunsheng Li, Lequan Yu

CoRR, 2024

SynChart: Synthesizing Charts from Language Models.

Mengchen Liu, Qixiu Li, Dongdong Chen, Dong Chen, Jianmin Bao, Yunsheng Li

CoRR, 2024

ReorderBench: A Benchmark for Matrix Reordering.

Jiangning Zhu, Zheng Wang, Zhiyang Shen, Lai Wei, Fengyuan Tian, Mengchen Liu, Shixia Liu

CoRR, 2024

On Pre-training of Multimodal Language Models Customized for Chart Understanding.

Wan-Cyuan Fan, Yen-Chun Chen, Mengchen Liu, Lu Yuan, Leonid Sigal

CoRR, 2024

Real-Time Image Segmentation via Hybrid Convolutional-Transformer Architecture Search.

Hongyuan Yu, Cheng Wan, Mengchen Liu, Dongdong Chen, Bin Xiao, Xiyang Dai

CoRR, 2024

Y-HRNet: Research on multi-category cherry tomato instance segmentation model based on improved YOLOv7 and HRNet fusion.

Mengchen Liu, Wenbai Chen, Jiajing Cheng, Yiqun Wang, Chunjiang Zhao

Comput. Electron. Agric., 2024

Fully Authentic Visual Question Answering Dataset from Online Communities.

Chongyan Chen, Mengchen Liu, Noel Codella, Yunsheng Li, Lu Yuan, Danna Gurari

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Visual Analysis of Neural Architecture Spaces for Summarizing Design Principles.

Jun Yuan, Mengchen Liu, Fengyuan Tian, Shixia Liu

IEEE Trans. Vis. Comput. Graph., 2023

An Evaluation of GPT-4V and Gemini in Online VQA.

Mengchen Liu, Chongyan Chen

CoRR, 2023

On the Hidden Waves of Image.

Yinpeng Chen, Dongdong Chen, Xiyang Dai, Mengchen Liu, Lu Yuan, Zicheng Liu, Youzuo Lin

CoRR, 2023

TinyCLIP: CLIP Distillation via Affinity Mimicking and Weight Inheritance.

Kan Wu, Houwen Peng, Zhenghong Zhou, Bin Xiao, Mengchen Liu, Lu Yuan, Hong Xuan, Michael Valenzuela, Xi Chen, Xinggang Wang, Hongyang Chao, Han Hu

CoRR, 2023

Image is First-order Norm+Linear Autoregressive.

Yinpeng Chen, Xiyang Dai, Dongdong Chen, Mengchen Liu, Lu Yuan, Zicheng Liu, Youzuo Lin

CoRR, 2023

Learning from Rich Semantics and Coarse Locations for Long-tailed Object Detection.

Lingchen Meng, Xiyang Dai, Jianwei Yang, Dongdong Chen, Yinpeng Chen, Mengchen Liu, Yi-Ling Chen, Zuxuan Wu, Lu Yuan, Yu-Gang Jiang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Layer Grafted Pre-training: Bridging Contrastive Learning And Masked Image Modeling For Label-Efficient Representations.

Ziyu Jiang, Yinpeng Chen, Mengchen Liu, Dongdong Chen, Xiyang Dai, Lu Yuan, Zicheng Liu, Zhangyang Wang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

TinyCLIP: CLIP Distillation via Affinity Mimicking and Weight Inheritance.

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

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

Masked Video Distillation: Rethinking Masked Feature Modeling for Self-supervised Video Representation Learning.

Rui Wang, Dongdong Chen, Zuxuan Wu, Yinpeng Chen, Xiyang Dai, Mengchen Liu, Lu Yuan, Yu-Gang Jiang

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

Detection Hub: Unifying Object Detection Datasets via Query Adaptation on Language Embedding.

Lingchen Meng, Xiyang Dai, Yinpeng Chen, Pengchuan Zhang, Dongdong Chen, Mengchen Liu, Jianfeng Wang, Zuxuan Wu, Lu Yuan, Yu-Gang Jiang

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

Multi-task Tomato Fruit and Bunch Maturity Detection Approach Based on Improved YOLOv7.

Mengchen Liu, Yiqun Wang, Xingxu Li, Wei Han, Wenbai Chen

Proceedings of the 9th IEEE International Conference on Cloud Computing and Intelligent Systems, 2023

2022

Self-Supervised Learning based on Heat Equation.

Yinpeng Chen, Xiyang Dai, Dongdong Chen, Mengchen Liu, Lu Yuan, Zicheng Liu, Youzuo Lin

CoRR, 2022

Video Mobile-Former: Video Recognition with Efficient Global Spatial-temporal Modeling.

Rui Wang, Zuxuan Wu, Dongdong Chen, Yinpeng Chen, Xiyang Dai, Mengchen Liu, Luowei Zhou, Lu Yuan, Yu-Gang Jiang

CoRR, 2022

Should All Proposals be Treated Equally in Object Detection?

Yunsheng Li, Yinpeng Chen, Xiyang Dai, Dongdong Chen, Mengchen Liu, Pei Yu, Jing Yin, Lu Yuan, Zicheng Liu, Nuno Vasconcelos

CoRR, 2022

Residual Mixture of Experts.

Lemeng Wu, Mengchen Liu, Yinpeng Chen, Dongdong Chen, Xiyang Dai, Lu Yuan

CoRR, 2022

TinyViT: Fast Pretraining Distillation for Small Vision Transformers.

Kan Wu, Jinnian Zhang, Houwen Peng, Mengchen Liu, Bin Xiao, Jianlong Fu, Lu Yuan

Proceedings of the Computer Vision - ECCV 2022, 2022

Should All Proposals Be Treated Equally in Object Detection?

Yunsheng Li, Yinpeng Chen, Xiyang Dai, Dongdong Chen, Mengchen Liu, Pei Yu, Ying Jin, Lu Yuan, Zicheng Liu, Nuno Vasconcelos

Proceedings of the Computer Vision - ECCV 2022, 2022

MiniViT: Compressing Vision Transformers with Weight Multiplexing.

Jinnian Zhang, Houwen Peng, Kan Wu, Mengchen Liu, Bin Xiao, Jianlong Fu, Lu Yuan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

BEVT: BERT Pretraining of Video Transformers.

Rui Wang, Dongdong Chen, Zuxuan Wu, Yinpeng Chen, Xiyang Dai, Mengchen Liu, Yu-Gang Jiang, Luowei Zhou, Lu Yuan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Reduce Information Loss in Transformers for Pluralistic Image Inpainting.

Qiankun Liu, Zhentao Tan, Dongdong Chen, Qi Chu, Xiyang Dai, Yinpeng Chen, Mengchen Liu, Lu Yuan, Nenghai Yu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Mobile-Former: Bridging MobileNet and Transformer.

Yinpeng Chen, Xiyang Dai, Dongdong Chen, Mengchen Liu, Xiaoyi Dong, Lu Yuan, Zicheng Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Analyzing the Noise Robustness of Deep Neural Networks.

Kelei Cao, Mengchen Liu, Hang Su, Jing Wu, Jun Zhu, Shixia Liu

IEEE Trans. Vis. Comput. Graph., 2021

A survey of visual analytics techniques for machine learning.

Jun Yuan, Changjian Chen, Weikai Yang, Mengchen Liu, Jiazhi Xia, Shixia Liu

Comput. Vis. Media, 2021

Florence: A New Foundation Model for Computer Vision.

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

CoRR, 2021

Weak NAS Predictors Are All You Need.

Junru Wu, Xiyang Dai, Dongdong Chen, Yinpeng Chen, Mengchen Liu, Ye Yu, Zhangyang Wang, Zicheng Liu, Mei Chen, Lu Yuan

CoRR, 2021

Stronger NAS with Weaker Predictors.

Junru Wu, Xiyang Dai, Dongdong Chen, Yinpeng Chen, Mengchen Liu, Ye Yu, Zhangyang Wang, Zicheng Liu, Mei Chen, Lu Yuan

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Revisiting Dynamic Convolution via Matrix Decomposition.

Yunsheng Li, Yinpeng Chen, Xiyang Dai, Mengchen Liu, Dongdong Chen, Ye Yu, Lu Yuan, Zicheng Liu, Mei Chen, Nuno Vasconcelos

Proceedings of the 9th International Conference on Learning Representations, 2021

CvT: Introducing Convolutions to Vision Transformers.

Haiping Wu, Bin Xiao, Noel Codella, Mengchen Liu, Xiyang Dai, Lu Yuan, Lei Zhang

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

MicroNet: Improving Image Recognition with Extremely Low FLOPs.

Yunsheng Li, Yinpeng Chen, Xiyang Dai, Dongdong Chen, Mengchen Liu, Lu Yuan, Zicheng Liu, Lei Zhang, Nuno Vasconcelos

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

Dynamic Head: Unifying Object Detection Heads With Attentions.

Xiyang Dai, Yinpeng Chen, Bin Xiao, Dongdong Chen, Mengchen Liu, Lu Yuan, Lei Zhang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

An M-Cache-Based Security Monitoring and Fault Recovery Architecture for Embedded Processor.

Xiang Wang, Zongmin Zhao, Dongdong Xu, Zhun Zhang, Qiang Hao, Mengchen Liu

IEEE Trans. Very Large Scale Integr. Syst., 2020

MicroNet: Towards Image Recognition with Extremely Low FLOPs.

Yunsheng Li, Yinpeng Chen, Xiyang Dai, Dongdong Chen, Mengchen Liu, Lu Yuan, Zicheng Liu, Lei Zhang, Nuno Vasconcelos

CoRR, 2020

Diagnosing Concept Drift with Visual Analytics.

Weikai Yang, Zhen Li, Mengchen Liu, Yafeng Lu, Kelei Cao, Ross Maciejewski, Shixia Liu

Proceedings of the 15th IEEE Conference on Visual Analytics Science and Technology, 2020

DA-NAS: Data Adapted Pruning for Efficient Neural Architecture Search.

Xiyang Dai, Dongdong Chen, Mengchen Liu, Yinpeng Chen, Lu Yuan

Proceedings of the Computer Vision - ECCV 2020, 2020

Dynamic ReLU.

Yinpeng Chen, Xiyang Dai, Mengchen Liu, Dongdong Chen, Lu Yuan, Zicheng Liu

Proceedings of the Computer Vision - ECCV 2020, 2020

Dynamic Convolution: Attention Over Convolution Kernels.

Yinpeng Chen, Xiyang Dai, Mengchen Liu, Dongdong Chen, Lu Yuan, Zicheng Liu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Improving the prediction of protein-nucleic acids binding residues via multiple sequence profiles and the consensus of complementary methods.

Hong Su, Mengchen Liu, Saisai Sun, Zhenling Peng, Jianyi Yang

Bioinform., 2019

2018

Analyzing the Training Processes of Deep Generative Models.

Mengchen Liu, Jiaxin Shi, Kelei Cao, Jun Zhu, Shixia Liu

IEEE Trans. Vis. Comput. Graph., 2018

Botanical Internet of Things: Toward Smart Indoor Farming by Connecting People, Plant, Data and Clouds.

Jun Yang, Mengchen Liu, Jiayi Lu, Yiming Miao, M. Anwar Hossain, Mohammed F. Alhamid

Mob. Networks Appl., 2018

RoCoSense: Integrating Robotics, Smart Clothing and Big Data Clouds for Emotion Sensing.

Jun Yang, Mengchen Liu, Zeru Wei, Chao Han, Wei Li, Yiming Miao

Proceedings of the 14th International Wireless Communications & Mobile Computing Conference, 2018

Fully Convolutional Semi-Supervised Gan for Polsar Classification.

Mengchen Liu, Yue Hu, Shuang Wang, Yanhe Guo, Biao Hou, Licheng Jiao, Xiaojin Hou

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Analyzing the Noise Robustness of Deep Neural Networks.

Mengchen Liu, Shixia Liu, Hang Su, Kelei Cao, Jun Zhu

Proceedings of the 13th IEEE Conference on Visual Analytics Science and Technology, 2018

2017

Towards better analysis of machine learning models: A visual analytics perspective.

Shixia Liu, Xiting Wang, Mengchen Liu, Jun Zhu

Vis. Informatics, 2017

Towards Better Analysis of Deep Convolutional Neural Networks.

Mengchen Liu, Jiaxin Shi, Zhen Li, Chongxuan Li, Jun Zhu, Shixia Liu

IEEE Trans. Vis. Comput. Graph., 2017

Smart Home 2.0: Innovative Smart Home System Powered by Botanical IoT and Emotion Detection.

Min Chen, Jun Yang, Xuan Zhu, Xiaofei Wang, Mengchen Liu, Jeungeun Song

Mob. Networks Appl., 2017

Job schedulers for Big data processing in Hadoop environment: testing real-life schedulers using benchmark programs.

Mohd Usama, Mengchen Liu, Min Chen

Digit. Commun. Networks, 2017

Improving Learning-from-Crowds through Expert Validation.

Mengchen Liu, Liu Jiang, Junlin Liu, Xiting Wang, Jun Zhu, Shixia Liu

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

An Uncertainty-Aware Approach for Exploratory Microblog Retrieval.

Mengchen Liu, Shixia Liu, Xizhou Zhu, Qinying Liao, Furu Wei, Shimei Pan

IEEE Trans. Vis. Comput. Graph., 2016

Follower-Followee Network, Communication Networks, and Vote Agreement of the U.S. Members of Congress.

Tai-Quan Peng, Mengchen Liu, Yingcai Wu, Shixia Liu

Commun. Res., 2016

Mobile Cloud Platform: Architecture, Deployment and Big Data Applications.

Mengchen Liu, Kai Lin, Jun Yang, Dengming Xiao, Yiming Miao, Lu Wang, Wei Li, Zeru Wei, Jiayi Lu

Proceedings of the Cloud Computing, Security, Privacy in New Computing Environments, 2016

2015

Clutter-aware label layout.

Yu Meng, Hui Zhang, Mengchen Liu, Shixia Liu

Proceedings of the 2015 IEEE Pacific Visualization Symposium, 2015

2014

A survey on information visualization: recent advances and challenges.

Shixia Liu, Weiwei Cui, Yingcai Wu, Mengchen Liu

Vis. Comput., 2014

OpinionFlow: Visual Analysis of Opinion Diffusion on Social Media.

Yingcai Wu, Shixia Liu, Kai Yan, Mengchen Liu, Fangzhao Wu

IEEE Trans. Vis. Comput. Graph., 2014

2013

StoryFlow: Tracking the Evolution of Stories.

Shixia Liu, Yingcai Wu, Enxun Wei, Mengchen Liu, Yang Liu

IEEE Trans. Vis. Comput. Graph., 2013