StoryFlow: Tracking the Evolution of Stories. - Shixia Liu; Yingcai Wu; Enxun Wei; Mengchen Liu; Yang Liu 014 (IEEE Trans. Vis. Comput. Graph., 2013)

OpinionFlow: Visual Analysis of Opinion Diffusion on Social Media. - Yingcai Wu; Shixia Liu; Kai Yan 003; Mengchen Liu; Fangzhao Wu (IEEE Trans. Vis. Comput. Graph., 2014)

A survey on information visualization: recent advances and challenges. - Shixia Liu; Weiwei Cui 001; Yingcai Wu; Mengchen Liu (Vis. Comput., 2014)

Clutter-aware label layout. - Yu Meng; Hui Zhang 013; Mengchen Liu; Shixia Liu (PacificVis, 2015)

Mobile Cloud Platform: Architecture, Deployment and Big Data Applications. - Mengchen Liu; Kai Lin; Jun Yang 014; Dengming Xiao; Yiming Miao; Lu Wang; Wei Li 061; Zeru Wei; Jiayi Lu (CloudComp, 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)

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)

Improving Learning-from-Crowds through Expert Validation. - Mengchen Liu; Liu Jiang; Junlin Liu; Xiting Wang; Jun Zhu 001; Shixia Liu (IJCAI, 2017)

Job schedulers for Big data processing in Hadoop environment: testing real-life schedulers using benchmark programs. - Mohd Usama; Mengchen Liu; Min Chen 003 (Digit. Commun. Networks, 2017)

Smart Home 2.0: Innovative Smart Home System Powered by Botanical IoT and Emotion Detection. - Min Chen 003; Jun Yang 014; Xuan Zhu; Xiaofei Wang 001; Mengchen Liu; Jeungeun Song 001 (Mob. Networks Appl., 2017)

Towards Better Analysis of Deep Convolutional Neural Networks. - Mengchen Liu; Jiaxin Shi; Zhen Li 044; Chongxuan Li; Jun Zhu 001; Shixia Liu (IEEE Trans. Vis. Comput. Graph., 2017)

Towards better analysis of machine learning models: A visual analytics perspective. - Shixia Liu; Xiting Wang; Mengchen Liu; Jun Zhu 001 (Vis. Informatics, 2017)

Analyzing the Noise Robustness of Deep Neural Networks. - Mengchen Liu; Shixia Liu; Hang Su 006; Kelei Cao; Jun Zhu 001 (VAST, 2018)

Fully Convolutional Semi-Supervised Gan for Polsar Classification. - Mengchen Liu; Yue Hu; Shuang Wang 001; Yanhe Guo; Biao Hou; Licheng Jiao; Xiaojin Hou (IGARSS, 2018)

RoCoSense: Integrating Robotics, Smart Clothing and Big Data Clouds for Emotion Sensing. - Jun Yang 014; Mengchen Liu; Zeru Wei; Chao Han; Wei Li 061; Yiming Miao (IWCMC, 2018)

Botanical Internet of Things: Toward Smart Indoor Farming by Connecting People, Plant, Data and Clouds. - Jun Yang 014; Mengchen Liu; Jiayi Lu; Yiming Miao; M. Anwar Hossain 001; Mohammed F. Alhamid (Mob. Networks Appl., 2018)

Analyzing the Training Processes of Deep Generative Models. - Mengchen Liu; Jiaxin Shi; Kelei Cao; Jun Zhu 001; Shixia Liu (IEEE Trans. Vis. Comput. Graph., 2018)

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 002 (Bioinform., 2019)

Dynamic Convolution: Attention Over Convolution Kernels. - Yinpeng Chen; Xiyang Dai; Mengchen Liu; Dongdong Chen 001; Lu Yuan; Zicheng Liu 001 (CVPR, 2020)

Dynamic ReLU. - Yinpeng Chen; Xiyang Dai; Mengchen Liu; Dongdong Chen 001; Lu Yuan; Zicheng Liu 001 (ECCV (19), 2020)

DA-NAS: Data Adapted Pruning for Efficient Neural Architecture Search. - Xiyang Dai; Dongdong Chen 001; Mengchen Liu; Yinpeng Chen; Lu Yuan (ECCV (27), 2020)

Diagnosing Concept Drift with Visual Analytics. - Weikai Yang; Zhen Li 044; Mengchen Liu; Yafeng Lu; Kelei Cao; Ross Maciejewski; Shixia Liu (IEEE VAST@IEEE VIS, 2020)

MicroNet: Towards Image Recognition with Extremely Low FLOPs. - Yunsheng Li; Yinpeng Chen; Xiyang Dai; Dongdong Chen 001; Mengchen Liu; Lu Yuan; Zicheng Liu 001; Lei Zhang 001; Nuno Vasconcelos (CoRR, 2020)

An M-Cache-Based Security Monitoring and Fault Recovery Architecture for Embedded Processor. - Xiang Wang 006; Zongmin Zhao; Dongdong Xu 002; Zhun Zhang; Qiang Hao; Mengchen Liu (IEEE Trans. Very Large Scale Integr. Syst., 2020)

Dynamic Head: Unifying Object Detection Heads With Attentions. - Xiyang Dai; Yinpeng Chen; Bin Xiao 004; Dongdong Chen 001; Mengchen Liu; Lu Yuan; Lei Zhang 001 (CVPR, 2021)

MicroNet: Improving Image Recognition with Extremely Low FLOPs. - Yunsheng Li; Yinpeng Chen; Xiyang Dai; Dongdong Chen 001; Mengchen Liu; Lu Yuan; Zicheng Liu 001; Lei Zhang 001; Nuno Vasconcelos (ICCV, 2021)

CvT: Introducing Convolutions to Vision Transformers. - Haiping Wu; Bin Xiao 004; Noel Codella; Mengchen Liu; Xiyang Dai; Lu Yuan; Lei Zhang 001 (ICCV, 2021)

Revisiting Dynamic Convolution via Matrix Decomposition. - Yunsheng Li; Yinpeng Chen; Xiyang Dai; Mengchen Liu; Dongdong Chen 001; Ye Yu; Lu Yuan; Zicheng Liu 001; Mei Chen; Nuno Vasconcelos (ICLR, 2021)

Stronger NAS with Weaker Predictors. - Junru Wu; Xiyang Dai; Dongdong Chen 001; Yinpeng Chen; Mengchen Liu; Ye Yu; Zhangyang Wang; Zicheng Liu 001; Mei Chen; Lu Yuan (NeurIPS, 2021)

Weak NAS Predictors Are All You Need. - Junru Wu; Xiyang Dai; Dongdong Chen 001; Yinpeng Chen; Mengchen Liu; Ye Yu; Zhangyang Wang; Zicheng Liu 001; Mei Chen; Lu Yuan (CoRR, 2021)

Florence: A New Foundation Model for Computer Vision. - Lu Yuan; Dongdong Chen 001; Yi-Ling Chen; Noel Codella; Xiyang Dai; Jianfeng Gao 001; Houdong Hu; Xuedong Huang 001; Boxin Li; Chunyuan Li; Ce Liu 001; Mengchen Liu; et al. (CoRR, 2021)

A survey of visual analytics techniques for machine learning. - Jun Yuan 003; Changjian Chen; Weikai Yang; Mengchen Liu; Jiazhi Xia; Shixia Liu (Comput. Vis. Media, 2021)

Analyzing the Noise Robustness of Deep Neural Networks. - Kelei Cao; Mengchen Liu; Hang Su 006; Jing Wu 004; Jun Zhu 001; Shixia Liu (IEEE Trans. Vis. Comput. Graph., 2021)

Mobile-Former: Bridging MobileNet and Transformer. - Yinpeng Chen; Xiyang Dai; Dongdong Chen 001; Mengchen Liu; Xiaoyi Dong; Lu Yuan; Zicheng Liu 001 (CVPR, 2022)

Reduce Information Loss in Transformers for Pluralistic Image Inpainting. - Qiankun Liu 001; Zhentao Tan; Dongdong Chen 001; Qi Chu 001; Xiyang Dai; Yinpeng Chen; Mengchen Liu; Lu Yuan; Nenghai Yu (CVPR, 2022)

BEVT: BERT Pretraining of Video Transformers. - Rui Wang 095; Dongdong Chen 001; Zuxuan Wu; Yinpeng Chen; Xiyang Dai; Mengchen Liu; Yu-Gang Jiang 001; Luowei Zhou; Lu Yuan (CVPR, 2022)

MiniViT: Compressing Vision Transformers with Weight Multiplexing. - Jinnian Zhang; Houwen Peng; Kan Wu; Mengchen Liu; Bin Xiao 004; Jianlong Fu; Lu Yuan (CVPR, 2022)

Should All Proposals Be Treated Equally in Object Detection? - Yunsheng Li; Yinpeng Chen; Xiyang Dai; Dongdong Chen 001; Mengchen Liu; Pei Yu; Ying Jin; Lu Yuan; Zicheng Liu 001; Nuno Vasconcelos (ECCV (25), 2022)

TinyViT: Fast Pretraining Distillation for Small Vision Transformers. - Kan Wu; Jinnian Zhang; Houwen Peng; Mengchen Liu; Bin Xiao 004; Jianlong Fu; Lu Yuan (ECCV (21), 2022)

Residual Mixture of Experts. - Lemeng Wu; Mengchen Liu; Yinpeng Chen; Dongdong Chen 001; Xiyang Dai; Lu Yuan (CoRR, 2022)

Should All Proposals be Treated Equally in Object Detection? - Yunsheng Li; Yinpeng Chen; Xiyang Dai; Dongdong Chen 001; Mengchen Liu; Pei Yu; Jing Yin; Lu Yuan; Zicheng Liu 001; Nuno Vasconcelos (CoRR, 2022)

Video Mobile-Former: Video Recognition with Efficient Global Spatial-temporal Modeling. - Rui Wang 095; Zuxuan Wu; Dongdong Chen 001; Yinpeng Chen; Xiyang Dai; Mengchen Liu; Luowei Zhou; Lu Yuan; Yu-Gang Jiang 001 (CoRR, 2022)

Self-Supervised Learning based on Heat Equation. - Yinpeng Chen; Xiyang Dai; Dongdong Chen 001; Mengchen Liu; Lu Yuan; Zicheng Liu 001; Youzuo Lin (CoRR, 2022)

Multi-task Tomato Fruit and Bunch Maturity Detection Approach Based on Improved YOLOv7. - Mengchen Liu; Yiqun Wang; Xingxu Li; Wei Han; Wenbai Chen (CCIS, 2023)

Detection Hub: Unifying Object Detection Datasets via Query Adaptation on Language Embedding. - Lingchen Meng; Xiyang Dai; Yinpeng Chen; Pengchuan Zhang; Dongdong Chen 001; Mengchen Liu; Jianfeng Wang; Zuxuan Wu; Lu Yuan; Yu-Gang Jiang 001 (CVPR, 2023)

Masked Video Distillation: Rethinking Masked Feature Modeling for Self-supervised Video Representation Learning. - Rui Wang 095; Dongdong Chen 001; Zuxuan Wu; Yinpeng Chen; Xiyang Dai; Mengchen Liu; Lu Yuan; Yu-Gang Jiang 001 (CVPR, 2023)

TinyCLIP: CLIP Distillation via Affinity Mimicking and Weight Inheritance. - Kan Wu; Houwen Peng; Zhenghong Zhou; Bin Xiao 004; Mengchen Liu; Lu Yuan; Hong Xuan; Michael Valenzuela; Xi Stephen Chen; Xinggang Wang; Hongyang Chao; Han Hu 001 (ICCV, 2023)

Layer Grafted Pre-training: Bridging Contrastive Learning And Masked Image Modeling For Label-Efficient Representations. - Ziyu Jiang; Yinpeng Chen; Mengchen Liu; Dongdong Chen 001; Xiyang Dai; Lu Yuan; Zicheng Liu 001; Zhangyang Wang (ICLR, 2023)

Learning from Rich Semantics and Coarse Locations for Long-tailed Object Detection. - Lingchen Meng; Xiyang Dai; Jianwei Yang; Dongdong Chen 001; Yinpeng Chen; Mengchen Liu; Yi-Ling Chen; Zuxuan Wu; Lu Yuan; Yu-Gang Jiang 001 (NeurIPS, 2023)

Image is First-order Norm+Linear Autoregressive. - Yinpeng Chen; Xiyang Dai; Dongdong Chen 001; Mengchen Liu; Lu Yuan; Zicheng Liu 001; Youzuo Lin (CoRR, 2023)

TinyCLIP: CLIP Distillation via Affinity Mimicking and Weight Inheritance. - Kan Wu; Houwen Peng; Zhenghong Zhou; Bin Xiao 004; Mengchen Liu; Lu Yuan; Hong Xuan; Michael Valenzuela; Xi Chen; Xinggang Wang; Hongyang Chao; Han Hu 001 (CoRR, 2023)

On the Hidden Waves of Image. - Yinpeng Chen; Dongdong Chen 001; Xiyang Dai; Mengchen Liu; Lu Yuan; Zicheng Liu 001; Youzuo Lin (CoRR, 2023)

An Evaluation of GPT-4V and Gemini in Online VQA. - Mengchen Liu; Chongyan Chen (CoRR, 2023)

Visual Analysis of Neural Architecture Spaces for Summarizing Design Principles. - Jun Yuan 003; Mengchen Liu; Fengyuan Tian; Shixia Liu (IEEE Trans. Vis. Comput. Graph., 2023)

Fully Authentic Visual Question Answering Dataset from Online Communities. - Chongyan Chen; Mengchen Liu; Noel Codella; Yunsheng Li; Lu Yuan; Danna Gurari (ECCV (48), 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 001 (Comput. Electron. Agric., 2024)

Real-Time Image Segmentation via Hybrid Convolutional-Transformer Architecture Search. - Hongyuan Yu; Cheng Wan 006; Mengchen Liu; Dongdong Chen 001; Bin Xiao 004; Xiyang Dai (CoRR, 2024)

On Pre-training of Multimodal Language Models Customized for Chart Understanding. - Wan-Cyuan Fan; Yen-Chun Chen 001; Mengchen Liu; Lu Yuan; Leonid Sigal (CoRR, 2024)

SynChart: Synthesizing Charts from Language Models. - Mengchen Liu; Qixiu Li; Dongdong Chen 001; Dong Chen 003; Jianmin Bao; Yunsheng Li (CoRR, 2024)

ToolBridge: An Open-Source Dataset to Equip LLMs with External Tool Capabilities. - Zhenchao Jin; Mengchen Liu; Dongdong Chen 001; Lingting Zhu; Yunsheng Li; Lequan Yu (CoRR, 2024)

MTD-YOLO: Multi-task deep convolutional neural network for cherry tomato fruit bunch maturity detection. - Wenbai Chen; Mengchen Liu; Chunjiang Zhao 001; Xingxu Li; Yiqun Wang (Comput. Electron. Agric., 2024)

Foundation models meet visualizations: Challenges and opportunities. - Weikai Yang; Mengchen Liu; Zheng Wang; Shixia Liu (Comput. Vis. Media, 2024)

Benchmarking Large and Small MLLMs. - Xuelu Feng; Yunsheng Li; Dongdong Chen 001; Mei Gao; Mengchen Liu; Junsong Yuan 001; Chunming Qiao (CoRR, 2025)

Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs. - Abdelrahman Abouelenin; Atabak Ashfaq; Adam Atkinson; Hany Awadalla; Nguyen Bach; Jianmin Bao; Alon Benhaim; Martin Cai; Vishrav Chaudhary; Congcong Chen; Dong Chen 003; Dongdong Chen 001; et al. (CoRR, 2025)

InfoChartQA: A Benchmark for Multimodal Question Answering on Infographic Charts. - Minzhi Lin; Tianchi Xie; Mengchen Liu; Yilin Ye; Changjian Chen; Shixia Liu (CoRR, 2025)

In-Depth and In-Breadth: Pre-training Multimodal Language Models Customized for Comprehensive Chart Understanding. - Wan-Cyuan Fan; Yen-Chun Chen 001; Mengchen Liu; Alexander Jacobson; Lu Yuan; Leonid Sigal (CoRR, 2025)

ReorderBench: A Benchmark for Matrix Reordering. - Jiangning Zhu; Zheng Wang; Zhiyang Shen; Lai Wei; Fengyuan Tian; Mengchen Liu; Shixia Liu (IEEE Trans. Vis. Comput. Graph., 2025)