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2020 – today
- 2024
[j4]Zehua Zeng
, Leilani Battle:
A Systematic Review of Visualization Recommendation Systems: Goals, Strategies, Interfaces, and Evaluations. Found. Trends Databases 14(1): 1-71 (2024)- [j3]Zehua Zeng, Junran Yang, Dominik Moritz, Jeffrey Heer, Leilani Battle:
Too Many Cooks: Exploring How Graphical Perception Studies Influence Visualization Recommendations in Draco. IEEE Trans. Vis. Comput. Graph. 30(1): 1063-1073 (2024) - 2023
- [j2]Zehua Zeng, Leilani Battle:
Using Graphical Perception in Visualization Recommendation. Interactions 30(3): 23-25 (2023) - [c9]Zehua Zeng, Leilani Battle:
A Review and Collation of Graphical Perception Knowledge for Visualization Recommendation. CHI 2023: 820:1-820:16 - [c8]Junran Yang, Péter Ferenc Gyarmati, Zehua Zeng, Dominik Moritz:
Draco 2: An Extensible Platform to Model Visualization Design. IEEE VIS (Short Papers) 2023: 166-170 - [i6]Huilan Luo, Zehua Zeng:
Real-time Multi-Object Tracking Based on Bi-directional Matching. CoRR abs/2303.08444 (2023) - [i5]Zehua Zeng, Hongwu Du:
Revolutionizing Single Cell Analysis: The Power of Large Language Models for Cell Type Annotation. CoRR abs/2304.02697 (2023) - [i4]Zehua Zeng, Junran Yang, Dominik Moritz, Jeffrey Heer, Leilani Battle:
Too Many Cooks: Exploring How Graphical Perception Studies Influence Visualization Recommendations in Draco. CoRR abs/2308.14241 (2023) - [i3]Junran Yang, Péter Ferenc Gyarmati, Zehua Zeng, Dominik Moritz:
Draco 2: An Extensible Platform to Model Visualization Design. CoRR abs/2308.14247 (2023) - 2022
- [b1]Zehua Zeng:
A Multi-Faceted Approach for Evaluating Visualization Recommendation Algorithms. University of Maryland, College Park, MD, USA, 2022 - [j1]Zehua Zeng, Phoebe Moh, Fan Du, Jane Hoffswell, Tak Yeon Lee, Sana Malik, Eunyee Koh, Leilani Battle:
An Evaluation-Focused Framework for Visualization Recommendation Algorithms. IEEE Trans. Vis. Comput. Graph. 28(1): 346-356 (2022) - [c7]Zehua Zeng, Xiaohan She, Xuetao Qiu, Hongfeng Chai, Yanming Yang:
MCHPT: A Weakly Supervise Based Merchant Pre-trained Model. ICONIP (4) 2022: 446-456 - 2021
- [c6]Zehua Zeng, Neng Gao, Cong Xue, Yuanye He, Xiaobo Guo:
Learning from Audience Interaction: Multi-Instance Multi-Label Topic Model for Video Shots Annotating. CSCWD 2021: 1075-1080 - [c5]Zehua Zeng, Chenyang Tu, Neng Gao, Cong Xue, Cunqing Ma, Yiwei Shan:
CMVCG: Non-autoregressive Conditional Masked Live Video Comments Generation Model. IJCNN 2021: 1-8 - [c4]Zehua Zeng, Neng Gao, Cong Xue, Chenyang Tu:
PLVCG: A Pretraining Based Model for Live Video Comment Generation. PAKDD (2) 2021: 690-702 - [i2]Zehua Zeng, Minhui Xie, Matthew Gouzoulis, Leilani Battle:
Are We There Yet? A Review on Existing Perceptual Theory and Experiment Support for Visualization Recommendation Systems. CoRR abs/2109.01271 (2021) - [i1]Zehua Zeng, Phoebe Moh, Fan Du, Jane Hoffswell, Tak Yeon Lee, Sana Malik, Eunyee Koh, Leilani Battle:
An Evaluation-Focused Framework for Visualization Recommendation Algorithms. CoRR abs/2109.02706 (2021)
2010 – 2019
- 2018
- [c3]Cong Xue, Zehua Zeng, Yuanye He, Lei Wang, Neng Gao:
A MIML-LSTM neural network for integrated fine-grained event forecasting. ICBDT 2018: 44-51 - [c2]Zehua Zeng, Cong Xue, Neng Gao, Lei Wang, Zeyi Liu:
Learning from Audience Intelligence: Dynamic Labeled LDA Model for Time-Sync Commented Video Tagging. ICONIP (3) 2018: 546-559 - 2017
- [c1]Sriram Karthik Badam, Zehua Zeng, Emily Wall, Alex Endert, Niklas Elmqvist:
Supporting Team-First Visual Analytics through Group Activity Representations. Graphics Interface 2017: 208-213
Coauthor Index
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