Supporting Team-First Visual Analytics through Group Activity Representations. - Sriram Karthik Badam; Zehua Zeng; Emily Wall 001; Alex Endert; Niklas Elmqvist (Graphics Interface, 2017)

A MIML-LSTM neural network for integrated fine-grained event forecasting. - Cong Xue; Zehua Zeng; Yuanye He; Lei Wang; Neng Gao (ICBDT, 2018)

Learning from Audience Intelligence: Dynamic Labeled LDA Model for Time-Sync Commented Video Tagging. - Zehua Zeng; Cong Xue; Neng Gao; Lei Wang 135; Zeyi Liu 002 (ICONIP (3), 2018)

Learning from Audience Interaction: Multi-Instance Multi-Label Topic Model for Video Shots Annotating. - Zehua Zeng; Neng Gao; Cong Xue; Yuanye He; Xiaobo Guo (CSCWD, 2021)

CMVCG: Non-autoregressive Conditional Masked Live Video Comments Generation Model. - Zehua Zeng; Chenyang Tu; Neng Gao; Cong Xue; Cunqing Ma; Yiwei Shan (IJCNN, 2021)

PLVCG: A Pretraining Based Model for Live Video Comment Generation. - Zehua Zeng; Neng Gao; Cong Xue; Chenyang Tu (PAKDD (2), 2021)

Are We There Yet? A Review on Existing Perceptual Theory and Experiment Support for Visualization Recommendation Systems. - Zehua Zeng; Minhui Xie; Matthew Gouzoulis; Leilani Battle (CoRR, 2021)

MCHPT: A Weakly Supervise Based Merchant Pre-trained Model. - Zehua Zeng; Xiaohan She; Xuetao Qiu; Hongfeng Chai; Yanming Yang (ICONIP (4), 2022)

An Evaluation-Focused Framework for Visualization Recommendation Algorithms. - Zehua Zeng; Phoebe Moh; Fan Du; Jane Hoffswell; Tak Yeon Lee; Sana Malik; Eunyee Koh; Leilani Battle (IEEE Trans. Vis. Comput. Graph., 2022)

A Multi-Faceted Approach for Evaluating Visualization Recommendation Algorithms. - Zehua Zeng (2022)

A Review and Collation of Graphical Perception Knowledge for Visualization Recommendation. - Zehua Zeng; Leilani Battle (CHI, 2023)

Draco 2: An Extensible Platform to Model Visualization Design. - Junran Yang; Péter Ferenc Gyarmati; Zehua Zeng; Dominik Moritz (IEEE VIS (Short Papers), 2023)

Real-time Multi-Object Tracking Based on Bi-directional Matching. - Huilan Luo; Zehua Zeng (CoRR, 2023)

Revolutionizing Single Cell Analysis: The Power of Large Language Models for Cell Type Annotation. - Zehua Zeng; Hongwu Du (CoRR, 2023)

Using Graphical Perception in Visualization Recommendation. - Zehua Zeng; Leilani Battle (Interactions, 2023)

A Systematic Review of Visualization Recommendation Systems: Goals, Strategies, Interfaces, and Evaluations. - Zehua Zeng; Leilani Battle (Found. Trends Databases, 2024)

Too Many Cooks: Exploring How Graphical Perception Studies Influence Visualization Recommendations in Draco. - Zehua Zeng; Junran Yang; Dominik Moritz; Jeffrey Heer; Leilani Battle (IEEE Trans. Vis. Comput. Graph., 2024)