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Jiansu Pu
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2020 – today
- 2024
- [c21]Hanlin Lan, Jiansu Pu, Yulu Xia, Yilei He, Yu Zhang, Jinyue Huang, Yunbo Rao:
Enhancing Model Interpretability Through Interactive Visual Analysis and Counterfactual Explanation Methods. CDVE 2024: 31-42 - 2023
- [j13]Dejing Ke, Jiansu Pu:
HEM: An Improved Parametric Link Prediction Algorithm Based on Hybrid Network Evolution Mechanism. Entropy 25(10): 1416 (2023) - [j12]Hongyu Zhang
, Yunbo Rao
Reading Various Types of Pointer Meters Under Extreme Motion Blur. IEEE Trans. Instrum. Meas. 72: 1-15 (2023) - [j11]Yunbo Rao
Dual Projective Zero-Shot Learning Using Text Descriptions. ACM Trans. Multim. Comput. Commun. Appl. 19(1): 10:1-10:17 (2023) - [c20]Dejing Ke, Jiansu Pu:
HEM: An Improved Parametric Link Prediction Algorithm Based on Hybrid Network Evolution Mechanism. ADMA (2) 2023: 91-106 - [c19]Kehan Cheng, Jiansu Pu, Zhuoyue Cheng, Jinyue Huang, Xunchao Cong:
NCARVis: No-Code Visualization Creation System based on Free-hand. PacificVis 2023: 1-5 - 2022
- [j10]Jiansu Pu, Hui Shao, Boyang Gao, Zhengguo Zhu, Yanlin Zhu, Yunbo Rao, Yong Xiang:
matExplorer: Visual Exploration on Predicting Ionic Conductivity for Solid-state Electrolytes. IEEE Trans. Vis. Comput. Graph. 28(1): 65-75 (2022) - [c18]Zhuoyue Cheng, Kehan Cheng, Yulu Xia, Jiansu Pu, Yunbo Rao:
A Visual Analytics Approach to Understanding Gradient Boosting Tree via Click Prediction on Ads. CDVE 2022: 21-32 - 2021
- [j9]Yunbo Rao, Menghan Zhang, Zhanglin Cheng
Semantic Point Cloud Segmentation Using Fast Deep Neural Network and DCRF. Sensors 21(8): 2731 (2021) - [c17]Hui Shao, Jiansu Pu, Yanlin Zhu, Boyang Gao, Zhengguo Zhu, Yunbo Rao:
Visual Analysis on Machine Learning Assisted Prediction of Ionic Conductivity for Solid-State Electrolytes. PacificVis 2021: 1-5 - [c16]Yulu Xia, Kehan Cheng, Zhuoyue Cheng, Yunbo Rao, Jiansu Pu:
GBMVis: Visual Analytics for Interpreting Gradient Boosting Machine. CDVE 2021: 63-72 - 2020
- [j8]Yunbo Rao
A Symmetric Fully Convolutional Residual Network With DCRF for Accurate Tooth Segmentation. IEEE Access 8: 92028-92038 (2020) - [j7]Yunbo Rao
FPSiamRPN: Feature Pyramid Siamese Network With Region Proposal Network for Target Tracking. IEEE Access 8: 176158-176169 (2020) - [j6]Yunbo Rao
Light-Net: Lightweight Object Detector. IEEE Access 8: 201700-201712 (2020) - [j5]Jiansu Pu, Jingwen Zhang, Hui Shao, Tingting Zhang, Yunbo Rao:
egoDetect: Visual Detection and Exploration of Anomaly in Social Communication Network. Sensors 20(20): 5895 (2020) - [c15]Menghan Zhang, Yunbo Rao, Jiansu Pu, Xun Luo, Qifei Wang:
Multi-data UAV Images for Large Scale Reconstruction of Buildings. MMM (2) 2020: 254-266
2010 – 2019
- 2019
- [j4]Yunbo Rao
Extreme Feature Regions Detection and Accurate Quality Assessment for Point-Cloud 3D Reconstruction. IEEE Access 7: 37757-37769 (2019) - [c14]Yunbo Rao, Wei Liu, Jiansu Pu, Zheng Wang, Qifei Wang:
Large-Scale Image Search using Region Division. ICDE Workshops 2019: 326-330 - 2018
- [c13]Rui Gong, Zhiyao Teng, Mei Han, Lirui Wei, Yuwei Zhang, Jiansu Pu:
TranSeVis: A Visual Analytics System for Transportation Data Sensing and Exploration. CDVE 2018: 1-10 - [c12]Jiali Song, Yunbo Rao, Puzhao Ji, Jiansu Pu, Keyang Chen:
Light-Weight DCNN for Face Tracking. ICS 2018: 168-177 - [c11]Mei Han, Qing Wang
egoStellar: Visual Analysis of Anomalous Communication Behaviors from Egocentric Perspective. ICS 2018: 280-290 - [c10]Lirui Wei, Qinghua Hu, Mei Han, Yuwei Zhang, Chao Fan, Yunbo Rao, Jiansu Pu:
Visual Analysis for Online Communities Exploration Based on Social Data. ICS 2018: 291-301 - [c9]Baijiang Fan, Yunbo Rao, Jiansu Pu, Jianhua Deng:
Extreme Feature Regions for Image Matching. PG (Short Papers and Posters) 2018: 81-84 - [c8]Yunbo Rao, Wei Liu, Jiansu Pu, Jianhua Deng, Qifei Wang:
Roads Detection of Aerial Image with FCN-CRF Model. VCIP 2018: 1-4 - 2017
- [c7]Qing Wang
egoPortray: Visual Exploration of Mobile Communication Signature from Egocentric Network Perspective. MMM (1) 2017: 649-661 - 2016
- [j3]Jiansu Pu, Zhiyao Teng, Rui Gong, Changjiang Wen, Yang Xu
Sci-Fin: Visual Mining Spatial and Temporal Behavior Features from Social Media. Sensors 16(12): 2194 (2016) - [c6]Changjiang Wen, Zhiyao Teng, Jian Chen, Yifan Wu, Rui Gong, Jiansu Pu:
socialRadius: Visual Exploration of User Check-in Behavior Based on Social Media Data. CDVE 2016: 300-308 - [c5]Yifan Wu, Rui Gong, Yi Cao, Changjiang Wen, Zhiyao Teng, Jiansu Pu:
eduCircle: Visualizing Spatial Temporal Features of Student Performance from Campus Activity and Consumption Data. CDVE 2016: 313-321 - 2014
- [j2]Jiansu Pu, Siyuan Liu, Panpan Xu, Huamin Qu, Lionel M. Ni:
MViewer: mobile phone spatiotemporal data viewer. Frontiers Comput. Sci. 8(2): 298-315 (2014) - 2013
- [j1]Siyuan Liu, Jiansu Pu, Qiong Luo
VAIT: A Visual Analytics System for Metropolitan Transportation. IEEE Trans. Intell. Transp. Syst. 14(4): 1586-1596 (2013) - [c4]Ye Ding, Siyuan Liu, Jiansu Pu, Lionel M. Ni:
HUNTS: A Trajectory Recommendation System for Effective and Efficient Hunting of Taxi Passengers. MDM (1) 2013: 107-116 - [c3]Jiansu Pu, Siyuan Liu, Ye Ding, Huamin Qu, Lionel M. Ni:
T-Watcher: A New Visual Analytic System for Effective Traffic Surveillance. MDM (1) 2013: 127-136 - 2012
- [c2]Jiansu Pu, Siyuan Liu, Huamin Qu, Lionel M. Ni:
Visual Fingerprinting: A New Visual Mining Approach for Large-Scale Spatio-temporal Evolving Data. ADMA 2012: 502-515 - 2011
- [c1]Jiansu Pu, Panpan Xu, Huamin Qu, Weiwei Cui, Siyuan Liu, Lionel M. Ni:
Visual analysis of people's mobility pattern from mobile phone data. VINCI 2011: 13
Coauthor Index
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