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ORCIDQianwen Wang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j28]Yukun Wang, Mengmeng Wang
, Zhonghu Hao, Qiang Wang, Qianwen Wang, Yuanxin Ye:
MSGFNet: Multi-Scale Gated Fusion Network for Remote Sensing Image Change Detection. Remote. Sens. 16(3): 572 (2024)- [j27]Chen Yang, Changshuai Fang, Zhengwen Li, Qianwen Wang, Xiaodong Zhang:
An Improved SFS Method for Achieving Fast, High-Precision, and Widely Adaptable 3-D Reconstruction. IEEE Trans. Instrum. Meas. 73: 1-9 (2024) - [i13]Youfu Yan, Yu Hou, Yongkang Xiao, Rui Zhang, Qianwen Wang:
KNOWNET: Guided Health Information Seeking from LLMs via Knowledge Graph Integration. CoRR abs/2407.13598 (2024) - 2023
- [j26]Zhilong Wang, Qianwen Wang, Jie Wu, Miao Ma, Zhao Pei, Yingshi Sun, Zhiguo Zhou:
An ensemble belief rule base model for pathologic complete response prediction in gastric cancer. Expert Syst. Appl. 233: 120976 (2023) - [j25]Shaoling Fu, Guangyao He, Qianwen Wang, Baofeng Huo, Yalan Ding:
Power use, cooperative behavior and alliance performance: evidence from contract farming supply chains in China. Ind. Manag. Data Syst. 123(3): 794-820 (2023) - [j24]Faheem Akhtar, Qianwen Wang, Baofeng Huo:
The effect of human resource strategy on green supply chain integration: the moderating role of information systems and mutual trust. Ind. Manag. Data Syst. 123(8): 2194-2215 (2023) - [j23]Aditeya Pandey, Sehi L'Yi, Qianwen Wang, Michelle A. Borkin, Nils Gehlenborg:
GenoREC: A Recommendation System for Interactive Genomics Data Visualization. IEEE Trans. Vis. Comput. Graph. 29(1): 570-580 (2023) - [j22]Furui Cheng, Mark S. Keller, Huamin Qu, Nils Gehlenborg, Qianwen Wang:
Polyphony: an Interactive Transfer Learning Framework for Single-Cell Data Analysis. IEEE Trans. Vis. Comput. Graph. 29(1): 591-601 (2023) - [j21]Qianwen Wang, Kexin Huang, Payal Chandak, Marinka Zitnik, Nils Gehlenborg:
Extending the Nested Model for User-Centric XAI: A Design Study on GNN-based Drug Repurposing. IEEE Trans. Vis. Comput. Graph. 29(1): 1266-1276 (2023) - [j20]Zhihua Jin, Yong Wang, Qianwen Wang, Yao Ming, Tengfei Ma, Huamin Qu:
GNNLens: A Visual Analytics Approach for Prediction Error Diagnosis of Graph Neural Networks. IEEE Trans. Vis. Comput. Graph. 29(6): 3024-3038 (2023) - [c13]Qianwen Wang, Sehi L'Yi, Nils Gehlenborg:
DRAVA: Aligning Human Concepts with Machine Learning Latent Dimensions for the Visual Exploration of Small Multiples. CHI 2023: 833:1-833:15 - [c12]Wei Xu, Na Qi, Qing Zhu, Jingzhong Qi, Longlu Huang, Kun Cao, Yuxin Bao, Qianwen Wang:
Color Guided Depth Map Super-Resolution with Nonlocla Autoregres-Sive Modeling. ICASSP 2023: 1-5 - [c11]Xiaohuan Zhao, Shaoqi Yang, Kenie Xie, Yang Feng, Qianwen Wang, Pengpeng Sang, Xuepeng Zhan, Jixuan Wu, Jiezhi Chen:
Error Bits Recovering in 3D NAND Flash Memory: A Novel State-Shift Re-Program (SRP) Scheme. ICTA 2023: 99-100 - [c10]Sehi L'Yi, Qianwen Wang, Nils Gehlenborg:
The Role of Visualization in Genomics Data Analysis Workflows: The Interviews. IEEE VIS (Short Papers) 2023: 101-105 - [c9]Qianwen Wang, Xiao Liu, Man Qing Liang, Sehi L'Yi, Nils Gehlenborg:
Enabling Multimodal User Interactions for Genomics Visualization Creation. IEEE VIS (Short Papers) 2023: 111-115 - [i12]Zhutian Chen, Chenyang Zhang, Qianwen Wang, Jakob Troidl, Simon Warchol, Johanna Beyer, Nils Gehlenborg, Hanspeter Pfister:
Beyond Generating Code: Evaluating GPT on a Data Visualization Course. CoRR abs/2306.02914 (2023) - [i11]Zhutian Chen, Wai Tong, Qianwen Wang, Benjamin Bach, Huamin Qu:
Augmenting Static Visualizations with PapARVis Designer. CoRR abs/2310.04826 (2023) - [i10]Zhutian Chen, Yijia Su, Yifang Wang, Qianwen Wang, Huamin Qu, Yingcai Wu:
MARVisT: Authoring Glyph-based Visualization in Mobile Augmented Reality. CoRR abs/2310.04843 (2023) - [i9]Jiaju Chen, Yuxuan Lu, Shao Zhang, Bingsheng Yao, Yuanzhe Dong, Ying Xu, Yunyao Li, Qianwen Wang, Dakuo Wang, Yuling Sun:
FairytaleCQA: Integrating a Commonsense Knowledge Graph into Children's Storybook Narratives. CoRR abs/2311.09756 (2023) - 2022
- [j19]Lang Zhou, Tingze Feng, Shuangbin Xu, Fangluan Gao, Tommy T. Lam, Qianwen Wang, Tianzhi Wu, Huina Huang, Li Zhan, Lin Li, Yi Guan, Zehan Dai, Guangchuang Yu:
ggmsa: a visual exploration tool for multiple sequence alignment and associated data. Briefings Bioinform. 23(4) (2022) - [j18]Jie Wu, Qianwen Wang, Zhilong Wang, Zhiguo Zhou:
AutoBRB: An automated belief rule base model for pathologic complete response prediction in gastric cancer. Comput. Biol. Medicine 140: 105104 (2022) - [j17]Quan Zhou, Qianwen Wang, Yunchao Bao, Lingjun Kong, Xin Jin, Weihua Ou:
LAEDNet: A Lightweight Attention Encoder-Decoder Network for ultrasound medical image segmentation. Comput. Electr. Eng. 99: 107777 (2022) - [j16]Zhaoguang Xu, Yanzhong Dang, Qianwen Wang:
Potential buyer identification and purchase likelihood quantification by mining user-generated content on social media. Expert Syst. Appl. 187: 115899 (2022) - [j15]Wei Li, Xukang Xie, Wanqiu Li, Mark van der Meijde, Haowen Yan, Yutong Huang, Xiaotong Li, Qianwen Wang:
Monitoring of Hydrological Resources in Surface Water Change by Satellite Altimetry. Remote. Sens. 14(19): 4904 (2022) - [j14]Sehi L'Yi, Qianwen Wang, Fritz Lekschas, Nils Gehlenborg:
Gosling: A Grammar-based Toolkit for Scalable and Interactive Genomics Data Visualization. IEEE Trans. Vis. Comput. Graph. 28(1): 140-150 (2022) - [j13]Qianwen Wang, Tali Mazor, Theresa Anisja Harbig, Ethan Cerami, Nils Gehlenborg:
ThreadStates: State-based Visual Analysis of Disease Progression. IEEE Trans. Vis. Comput. Graph. 28(1): 238-247 (2022) - [j12]Qianwen Wang, Zhutian Chen, Yong Wang, Huamin Qu:
A Survey on ML4VIS: Applying Machine Learning Advances to Data Visualization. IEEE Trans. Vis. Comput. Graph. 28(12): 5134-5153 (2022) - 2021
- [j11]Qianwen Wang, William Alexander, Jack Pegg, Huamin Qu, Min Chen:
HypoML: Visual Analysis for Hypothesis-based Evaluation of Machine Learning Models. IEEE Trans. Vis. Comput. Graph. 27(2): 1417-1426 (2021) - [j10]Qianwen Wang, Zhenhua Xu, Zhutian Chen, Yong Wang, Shixia Liu, Huamin Qu:
Visual Analysis of Discrimination in Machine Learning. IEEE Trans. Vis. Comput. Graph. 27(2): 1470-1480 (2021) - [j9]Chuan Bu, Quanjie Zhang, Qianwen Wang, Jian Zhang, Michael Sedlmair, Oliver Deussen, Yunhai Wang:
SineStream: Improving the Readability of Streamgraphs by Minimizing Sine Illusion Effects. IEEE Trans. Vis. Comput. Graph. 27(2): 1634-1643 (2021) - [c8]Qianwen Wang, Li He, Xiaoyang Zhu, Yuqi Huang, Zhen Li:
Privacy Protection of Blockchain Security Development Status. ICISCAE (ACM) 2021: 2592-2596 - [c7]Lingjun Kong, Yunchao Bao, Qianwen Wang, Lijun Cao, Shengmei Zhao:
A Gradient heatmap based Table Structure Recognition. ICMLC 2021: 456-463 - 2020
- [j8]Xuepeng Zhan, Yifang Xi, Qianwen Wang, Weiqiang Zhang, Zhigang Ji, Jiezhi Chen:
Dual-Point Technique for Multi-Trap RTN Signal Extraction. IEEE Access 8: 88141-88146 (2020) - [j7]Yong Wang, Zhihua Jin, Qianwen Wang, Weiwei Cui, Tengfei Ma, Huamin Qu:
DeepDrawing: A Deep Learning Approach to Graph Drawing. IEEE Trans. Vis. Comput. Graph. 26(1): 676-686 (2020) - [j6]Zhutian Chen, Yun Wang, Qianwen Wang, Yong Wang, Huamin Qu:
Towards Automated Infographic Design: Deep Learning-based Auto-Extraction of Extensible Timeline. IEEE Trans. Vis. Comput. Graph. 26(1): 917-926 (2020) - [j5]Zhutian Chen, Yijia Su, Yifang Wang, Qianwen Wang, Huamin Qu, Yingcai Wu:
MARVisT: Authoring Glyph-Based Visualization in Mobile Augmented Reality. IEEE Trans. Vis. Comput. Graph. 26(8): 2645-2658 (2020) - [j4]Qianwen Wang, Jun Yuan, Shuxin Chen, Hang Su, Huamin Qu, Shixia Liu:
Visual Genealogy of Deep Neural Networks. IEEE Trans. Vis. Comput. Graph. 26(11): 3340-3352 (2020) - [c6]Zhutian Chen, Wai Tong, Qianwen Wang, Benjamin Bach, Huamin Qu:
Augmenting Static Visualizations with PapARVis Designer. CHI 2020: 1-12 - [c5]Jin Wang, Qianwen Wang, Ruiqin Xiong, Qing Zhu, Baocai Yin:
Light Field Image Compression Using Multi-branch Spatial Transformer Networks Based View Synthesis. DCC 2020: 397 - [i8]Qianwen Wang, William Alexander, Jack Pegg, Huamin Qu, Min Chen:
HypoML: Visual Analysis for Hypothesis-based Evaluation of Machine Learning Models. CoRR abs/2002.05271 (2020) - [i7]Qianwen Wang, Zhenhua Xu, Zhutian Chen, Yong Wang, Shixia Liu, Huamin Qu:
Visual Analysis of Discrimination in Machine Learning. CoRR abs/2007.15182 (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) - [i5]Qianwen Wang, Zhutian Chen, Yong Wang, Huamin Qu:
Applying Machine Learning Advances to Data Visualization: A Survey on ML4VIS. CoRR abs/2012.00467 (2020)
2010 – 2019
- 2019
- [j3]Qianwen Wang, Zhen Li, Siwei Fu, Weiwei Cui, Huamin Qu:
Narvis: Authoring Narrative Slideshows for Introducing Data Visualization Designs. IEEE Trans. Vis. Comput. Graph. 25(1): 779-788 (2019) - [c4]Qianwen Wang, Mizuho Iwaihara:
Deep Neural Architectures for Joint Named Entity Recognition and Disambiguation. BigComp 2019: 1-4 - [c3]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. CHI 2019: 681 - [c2]Qiongxiao Fu, Enchang Sun, Qianwen Wang, Zhuwei Wang, Yanhua Zhang:
A Joint Balancing Flow Table and Reducing Delay Scheme for Mice-Flows in Data Center Networks. GLOBECOM 2019: 1-6 - [i4]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) - [i3]Qianwen Wang, Zhen Li, Siwei Fu, Weiwei Cui, Huamin Qu:
Narvis: Authoring Narrative Slideshows forIntroducing Data Visualization Designs. CoRR abs/1907.05609 (2019) - [i2]Yong Wang, Zhihua Jin, Qianwen Wang, Weiwei Cui, Tengfei Ma, Huamin Qu:
DeepDrawing: A Deep Learning Approach to Graph Drawing. CoRR abs/1907.11040 (2019) - [i1]Zhutian Chen, Yun Wang, Qianwen Wang, Yong Wang, Huamin Qu:
Towards Automated Infographic Design: Deep Learning-based Auto-Extraction of Extensible Timeline. CoRR abs/1907.13550 (2019) - 2018
- [j2]Qianwen Wang, Rongquan Feng, Yan Zhu:
Verifiable random functions with Boolean function constraints. Sci. China Inf. Sci. 61(3): 039105:1-039105:3 (2018) - 2017
- [j1]Baofeng Huo, Qianwen Wang, Xiande Zhao, Zhongsheng Hua:
Barriers to third-party logistics integration: empirical evidence from China. Ind. Manag. Data Syst. 117(8): 1738-1760 (2017)
2000 – 2009
- 2008
- [c1]Qianwen Wang, Wenjun Huang, Xiamu Niu, Xiuzhan Jiang:
A Template Protection Scheme For Statistic Feature-based 2D Face Recognition. IIH-MSP 2008: 374-377
Coauthor Index
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last updated on 2024-10-07 21:23 CEST by the dblp team
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