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Yao Ming
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2020 – today
- 2024
- [j8]Binzhong Wang
, Bin Wu
Whole-genome Sequencing Reveals Autooctoploidy in Chinese Sturgeon and Its Evolutionary Trajectories. Genom. Proteom. Bioinform. 22(1) (2024) - [i10]Zhen Li, Weikai Yang, Jun Yuan, Jing Wu, Changjian Chen, Yao Ming, Fan Yang, Hui Zhang, Shixia Liu:
A Scalable Matrix Visualization for Understanding Tree Ensemble Classifiers. CoRR abs/2409.03164 (2024) - 2023
- [j7]Zhihua Jin
GNNLens: A Visual Analytics Approach for Prediction Error Diagnosis of Graph Neural Networks. IEEE Trans. Vis. Comput. Graph. 29(6): 3024-3038 (2023) - [i9]Alexander Spangher, Xinyu Hua, Yao Ming, Nanyun Peng:
Sequentially Controlled Text Generation. CoRR abs/2301.02299 (2023) - 2022
- [j6]Xingbo Wang
DeHumor: Visual Analytics for Decomposing Humor. IEEE Trans. Vis. Comput. Graph. 28(12): 4609-4623 (2022) - [c8]Alexander Spangher, Yao Ming, Xinyu Hua, Nanyun Peng:
Sequentially Controlled Text Generation. EMNLP (Findings) 2022: 6848-6866 - 2021
- [j5]Furui Cheng
DECE: Decision Explorer with Counterfactual Explanations for Machine Learning Models. IEEE Trans. Vis. Comput. Graph. 27(2): 1438-1447 (2021) - [i8]Xingbo Wang
DeHumor: Visual Analytics for Decomposing Humor. CoRR abs/2107.08356 (2021) - 2020
- [j4]Shengqing Li, Yuwen Zhang, Yao Ming, Wenfeng Wu:
An Improved control method of phase compensation for Photovoltaic Grid-Connected Inverter. Int. J. Robotics Autom. 35(5) (2020) - [j3]Yao Ming, Panpan Xu, Furui Cheng
ProtoSteer: Steering Deep Sequence Model with Prototypes. IEEE Trans. Vis. Comput. Graph. 26(1): 238-248 (2020) - [i7]Furui Cheng, Yao Ming, Huamin Qu:
DECE: Decision Explorer with Counterfactual Explanations for Machine Learning Models. CoRR abs/2008.08353 (2020) - [i6]Zhihua Jin, Yong Wang, Qianwen Wang, Yao Ming, Tengfei Ma, Huamin Qu:
GNNVis: A Visual Analytics Approach for Prediction Error Diagnosis of Graph Neural Networks. CoRR abs/2011.11048 (2020)
2010 – 2019
- 2019
- [j2]Yao Ming, Huamin Qu, Enrico Bertini:
RuleMatrix: Visualizing and Understanding Classifiers with Rules. IEEE Trans. Vis. Comput. Graph. 25(1): 342-352 (2019) - [c7]Qianwen Wang
ATMSeer: Increasing Transparency and Controllability in Automated Machine Learning. CHI 2019: 681 - [c6]Yao Ming, Panpan Xu, Huamin Qu, Liu Ren:
Interpretable and Steerable Sequence Learning via Prototypes. KDD 2019: 903-913 - [c5]Leo Yu-Ho Lo, Yao Ming, Huamin Qu:
Learning Vis Tools: Teaching Data Visualization Tutorials. IEEE VIS (Short Papers) 2019: 11-15 - [i5]Qianwen Wang, Yao Ming, Zhihua Jin, Qiaomu Shen, Dongyu Liu, Micah J. Smith, Kalyan Veeramachaneni, Huamin Qu:
ATMSeer: Increasing Transparency and Controllability in Automated Machine Learning. CoRR abs/1902.05009 (2019) - [i4]Leo Yu-Ho Lo, Yao Ming, Huamin Qu:
Learning Vis Tools: Teaching Data Visualization Tutorials. CoRR abs/1907.08796 (2019) - [i3]Yao Ming, Panpan Xu, Huamin Qu, Liu Ren:
Interpretable and Steerable Sequence Learning via Prototypes. CoRR abs/1907.09728 (2019) - 2018
- [i2]Yao Ming, Huamin Qu, Enrico Bertini:
RuleMatrix: Visualizing and Understanding Classifiers with Rules. CoRR abs/1807.06228 (2018) - 2017
- [j1]Sheng Li, Yao Ming, Yuwen Zhang, Wenfeng Wu:
Crowbar Resistance Setting and its Influence on DFIG low voltage Ride through. Int. J. Robotics Autom. 32(6) (2017) - [c4]Quan Li
A visual analytics approach for understanding egocentric intimacy network evolution and impact propagation in MMORPGs. PacificVis 2017: 31-40 - [c3]Wanke Cao, Cheng Lin, Lei Zhang, Yao Ming, Helin Liu:
Fuzzy sliding mode control of networked control systems and applications to independent-drive electric vehicles. ICIT 2017: 1397-1402 - [c2]Yao Ming, Shaozu Cao, Ruixiang Zhang, Zhen Li
Understanding Hidden Memories of Recurrent Neural Networks. VAST 2017: 13-24 - [i1]Yao Ming, Shaozu Cao, Ruixiang Zhang, Zhen Li, Yuanzhe Chen, Yangqiu Song, Huamin Qu:
Understanding Hidden Memories of Recurrent Neural Networks. CoRR abs/1710.10777 (2017) - 2013
- [c1]Fang You
Magic Squares and Aesthetic Events. IV 2013: 372-377
Coauthor Index
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