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2020 – today
- 2024
[j19]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: 108533 (2024)- [j18]Mengchen Liu, Wenbai Chen, Jiajing Cheng, Yiqun Wang, Chunjiang Zhao:
Y-HRNet: Research on multi-category cherry tomato instance segmentation model based on improved YOLOv7 and HRNet fusion. Comput. Electron. Agric. 227: 109531 (2024) - [j17]Weikai Yang, Mengchen Liu, Zheng Wang, Shixia Liu:
Foundation models meet visualizations: Challenges and opportunities. Comput. Vis. Media 10(3): 399-424 (2024) - [i42]Hongyuan Yu, Cheng Wan, Mengchen Liu, Dongdong Chen, Bin Xiao, Xiyang Dai:
Real-Time Image Segmentation via Hybrid Convolutional-Transformer Architecture Search. CoRR abs/2403.10413 (2024) - [i41]Wan-Cyuan Fan, Yen-Chun Chen, Mengchen Liu, Lu Yuan, Leonid Sigal:
On Pre-training of Multimodal Language Models Customized for Chart Understanding. CoRR abs/2407.14506 (2024) - [i40]Jiangning Zhu, Zheng Wang, Zhiyang Shen, Lai Wei, Fengyuan Tian, Mengchen Liu, Shixia Liu:
ReorderBench: A Benchmark for Matrix Reordering. CoRR abs/2408.12169 (2024) - [i39]Mengchen Liu, Qixiu Li, Dongdong Chen, Dong Chen, Jianmin Bao, Yunsheng Li:
SynChart: Synthesizing Charts from Language Models. CoRR abs/2409.16517 (2024) - [i38]Zhenchao Jin, Mengchen Liu, Dongdong Chen, Lingting Zhu, Yunsheng Li, Lequan Yu:
ToolBridge: An Open-Source Dataset to Equip LLMs with External Tool Capabilities. CoRR abs/2410.10872 (2024) - 2023
- [j16]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): 288-298 (2023) - [c27]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: 573-577 - [c26]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: 6312-6322 - [c25]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: 11402-11411 - [c24]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: 21913-21923 - [c23]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 - [c22]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 - [i37]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 abs/2302.14138 (2023) - [i36]Yinpeng Chen, Xiyang Dai, Dongdong Chen, Mengchen Liu, Lu Yuan, Zicheng Liu, Youzuo Lin:
Image is First-order Norm+Linear Autoregressive. CoRR abs/2305.16319 (2023) - [i35]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 abs/2309.12314 (2023) - [i34]Weikai Yang, Mengchen Liu, Zheng Wang, Shixia Liu:
Foundation Models Meet Visualizations: Challenges and Opportunities. CoRR abs/2310.05771 (2023) - [i33]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 abs/2310.12152 (2023) - [i32]Yinpeng Chen, Dongdong Chen, Xiyang Dai, Mengchen Liu, Lu Yuan, Zicheng Liu, Youzuo Lin:
On the Hidden Waves of Image. CoRR abs/2310.12976 (2023) - [i31]Chongyan Chen, Mengchen Liu, Noel Codella, Yunsheng Li, Lu Yuan, Danna Gurari:
Fully Authentic Visual Question Answering Dataset from Online Communities. CoRR abs/2311.15562 (2023) - [i30]Mengchen Liu, Chongyan Chen:
An Evaluation of GPT-4V and Gemini in Online VQA. CoRR abs/2312.10637 (2023) - 2022
- [c21]Yinpeng Chen, Xiyang Dai, Dongdong Chen, Mengchen Liu, Xiaoyi Dong, Lu Yuan, Zicheng Liu:
Mobile-Former: Bridging MobileNet and Transformer. CVPR 2022: 5260-5269 - [c20]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: 11337-11347 - [c19]Jinnian Zhang, Houwen Peng, Kan Wu, Mengchen Liu, Bin Xiao, Jianlong Fu, Lu Yuan:
MiniViT: Compressing Vision Transformers with Weight Multiplexing. CVPR 2022: 12135-12144 - [c18]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: 14713-14723 - [c17]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: 68-85 - [c16]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: 556-572 - [i29]Jinnian Zhang, Houwen Peng, Kan Wu, Mengchen Liu, Bin Xiao, Jianlong Fu, Lu Yuan:
MiniViT: Compressing Vision Transformers with Weight Multiplexing. CoRR abs/2204.07154 (2022) - [i28]Lemeng Wu, Mengchen Liu, Yinpeng Chen, Dongdong Chen, Xiyang Dai, Lu Yuan:
Residual Mixture of Experts. CoRR abs/2204.09636 (2022) - [i27]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 abs/2205.05076 (2022) - [i26]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 abs/2206.03484 (2022) - [i25]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 abs/2207.03520 (2022) - [i24]Kan Wu, Jinnian Zhang, Houwen Peng, Mengchen Liu, Bin Xiao, Jianlong Fu, Lu Yuan:
TinyViT: Fast Pretraining Distillation for Small Vision Transformers. CoRR abs/2207.10666 (2022) - [i23]Jun Yuan, Mengchen Liu, Fengyuan Tian, Shixia Liu:
Visual Analysis of Neural Architecture Spaces for Summarizing Design Principles. CoRR abs/2208.09665 (2022) - [i22]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 abs/2208.12257 (2022) - [i21]Yinpeng Chen, Xiyang Dai, Dongdong Chen, Mengchen Liu, Lu Yuan, Zicheng Liu, Youzuo Lin:
Self-Supervised Learning based on Heat Equation. CoRR abs/2211.13228 (2022) - [i20]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 abs/2212.04500 (2022) - 2021
- [j15]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): 3-36 (2021) - [j14]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): 3289-3304 (2021) - [c15]Xiyang Dai, Yinpeng Chen, Bin Xiao, Dongdong Chen, Mengchen Liu, Lu Yuan, Lei Zhang:
Dynamic Head: Unifying Object Detection Heads With Attentions. CVPR 2021: 7373-7382 - [c14]Haiping Wu, Bin Xiao, Noel Codella, Mengchen Liu, Xiyang Dai, Lu Yuan, Lei Zhang:
CvT: Introducing Convolutions to Vision Transformers. ICCV 2021: 22-31 - [c13]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: 458-467 - [c12]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 - [c11]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: 28904-28918 - [i19]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 abs/2102.10490 (2021) - [i18]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 abs/2103.08756 (2021) - [i17]Haiping Wu, Bin Xiao, Noel Codella, Mengchen Liu, Xiyang Dai, Lu Yuan, Lei Zhang:
CvT: Introducing Convolutions to Vision Transformers. CoRR abs/2103.15808 (2021) - [i16]Xiyang Dai, Yinpeng Chen, Bin Xiao, Dongdong Chen, Mengchen Liu, Lu Yuan, Lei Zhang:
Dynamic Head: Unifying Object Detection Heads with Attentions. CoRR abs/2106.08322 (2021) - [i15]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 abs/2108.05894 (2021) - [i14]Yinpeng Chen, Xiyang Dai, Dongdong Chen, Mengchen Liu, Xiaoyi Dong, Lu Yuan, Zicheng Liu:
Mobile-Former: Bridging MobileNet and Transformer. CoRR abs/2108.05895 (2021) - [i13]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 abs/2111.11432 (2021) - [i12]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 abs/2112.01529 (2021) - 2020
- [j13]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): 2314-2327 (2020) - [c10]Yinpeng Chen, Xiyang Dai, Mengchen Liu, Dongdong Chen, Lu Yuan, Zicheng Liu:
Dynamic Convolution: Attention Over Convolution Kernels. CVPR 2020: 11027-11036 - [c9]Yinpeng Chen, Xiyang Dai, Mengchen Liu, Dongdong Chen, Lu Yuan, Zicheng Liu:
Dynamic ReLU. ECCV (19) 2020: 351-367 - [c8]Xiyang Dai, Dongdong Chen, Mengchen Liu, Yinpeng Chen, Lu Yuan:
DA-NAS: Data Adapted Pruning for Efficient Neural Architecture Search. ECCV (27) 2020: 584-600 - [c7]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: 12-23 - [i11]Kelei Cao, Mengchen Liu, Hang Su, Jing Wu, Jun Zhu, Shixia Liu:
Analyzing the Noise Robustness of Deep Neural Networks. CoRR abs/2001.09395 (2020) - [i10]Yinpeng Chen, Xiyang Dai, Mengchen Liu, Dongdong Chen, Lu Yuan, Zicheng Liu:
Dynamic ReLU. CoRR abs/2003.10027 (2020) - [i9]Xiyang Dai, Dongdong Chen, Mengchen Liu, Yinpeng Chen, Lu Yuan:
DA-NAS: Data Adapted Pruning for Efficient Neural Architecture Search. CoRR abs/2003.12563 (2020) - [i8]Weikai Yang, Zhen Li, Mengchen Liu, Yafeng Lu, Kelei Cao, Ross Maciejewski, Shixia Liu:
Diagnosing Concept Drift with Visual Analytics. CoRR abs/2007.14372 (2020) - [i7]Jun Yuan, Changjian Chen, Weikai Yang, Mengchen Liu, Jiazhi Xia, Shixia Liu:
A Survey of Visual Analytics Techniques for Machine Learning. CoRR abs/2008.09632 (2020) - [i6]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 abs/2011.12289 (2020)
2010 – 2019
- 2019
- [j12]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): 930-936 (2019) - [i5]Yinpeng Chen, Xiyang Dai, Mengchen Liu, Dongdong Chen, Lu Yuan, Zicheng Liu:
Dynamic Convolution: Attention over Convolution Kernels. CoRR abs/1912.03458 (2019) - 2018
- [j11]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): 188-202 (2018) - [j10]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): 77-87 (2018) - [c6]Mengchen Liu, Shixia Liu, Hang Su, Kelei Cao, Jun Zhu:
Analyzing the Noise Robustness of Deep Neural Networks. VAST 2018: 60-71 - [c5]Mengchen Liu, Yue Hu, Shuang Wang, Yanhe Guo, Biao Hou, Licheng Jiao, Xiaojin Hou:
Fully Convolutional Semi-Supervised Gan for Polsar Classification. IGARSS 2018: 621-624 - [c4]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: 1323-1326 - [i4]Mengchen Liu, Shixia Liu, Hang Su, Kelei Cao, Jun Zhu:
Analyzing the Noise Robustness of Deep Neural Networks. CoRR abs/1810.03913 (2018) - 2017
- [j9]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): 260-273 (2017) - [j8]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): 1159-1169 (2017) - [j7]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): 91-100 (2017) - [j6]Shixia Liu, Xiting Wang, Mengchen Liu, Jun Zhu:
Towards better analysis of machine learning models: A visual analytics perspective. Vis. Informatics 1(1): 48-56 (2017) - [c3]Mengchen Liu, Liu Jiang, Junlin Liu, Xiting Wang, Jun Zhu, Shixia Liu:
Improving Learning-from-Crowds through Expert Validation. IJCAI 2017: 2329-2336 - [i3]Shixia Liu, Xiting Wang, Mengchen Liu, Jun Zhu:
Towards Better Analysis of Machine Learning Models: A Visual Analytics Perspective. CoRR abs/1702.01226 (2017) - 2016
- [j5]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): 996-1024 (2016) - [j4]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): 250-259 (2016) - [c2]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: 66-80 - [i2]Mengchen Liu, Jiaxin Shi, Zhen Li, Chongxuan Li, Jun Zhu, Shixia Liu:
Towards Better Analysis of Deep Convolutional Neural Networks. CoRR abs/1604.07043 (2016) - 2015
- [c1]Yu Meng, Hui Zhang, Mengchen Liu, Shixia Liu:
Clutter-aware label layout. PacificVis 2015: 207-214 - [i1]Mengchen Liu, Shixia Liu, Xizhou Zhu, Qinying Liao, Furu Wei, Shimei Pan:
An Uncertainty-Aware Approach for Exploratory Microblog Retrieval. CoRR abs/1512.04038 (2015) - 2014
- [j3]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): 1763-1772 (2014) - [j2]Shixia Liu, Weiwei Cui, Yingcai Wu, Mengchen Liu:
A survey on information visualization: recent advances and challenges. Vis. Comput. 30(12): 1373-1393 (2014) - 2013
- [j1]Shixia Liu, Yingcai Wu, Enxun Wei, Mengchen Liu, Yang Liu:
StoryFlow: Tracking the Evolution of Stories. IEEE Trans. Vis. Comput. Graph. 19(12): 2436-2445 (2013)
Coauthor Index
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