Junbo Zhang - Citegraph

Author Info

Name	Affiliation	Papers
JUNBO ZHANG	School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China,Department of Computer Science, Georgia State University, Atlanta, GA	69
Collaborators	Citations	PageRank
138	896	37.75
Referers	Referees	References
1553	1875	1282

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Publications (69 rows)

Collaborators (100 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
UniKW-AT: Unified Keyword Spotting and Audio Tagging	0	0.34	2022
Predicting Fine-Grained Air Quality Based on Deep Neural Networks	0	0.34	2022
Introduction to the Special Issue on Deep Learning for Spatio-Temporal Data: Part 2	0	0.34	2022
Pseudo Strong Labels for Large Scale Weakly Supervised Audio Tagging	0	0.34	2022
Predicting Citywide Crowd Flows in Irregular Regions Using Multi-View Graph Convolutional Networks	4	0.41	2022
DeepSpatial'22: The 3rd International Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems	0	0.34	2022
Spatio-Temporal Meta Learning for Urban Traffic Prediction	3	0.39	2022
Precision CityShield Against Hazardous Chemicals Threats via Location Mining and Self-Supervised Learning	0	0.34	2022
POI Alias Discovery in Delivery Addresses using User Locations	0	0.34	2021
ACM TIST Special Issue on Deep Learning for Spatio-Temporal Data: Part 1	0	0.34	2021
Traffic Flow Forecasting With Spatial-Temporal Graph Diffusion Network	0	0.34	2021
Federated Digital Gateway: Methodologies, Tools, and Applications	0	0.34	2021
Multi-source information fusion based on rough set theory: A review	13	0.44	2021
AutoSTG: Neural Architecture Search for Predictions of Spatio-Temporal Graph✱	3	0.41	2021
Fine-Grained Urban Flow Prediction	1	0.37	2021
You Are How You Use: Catching Gas Theft Suspects among Diverse Restaurant Users	0	0.34	2020
Urban flow prediction from spatiotemporal data using machine learning: A survey	10	0.58	2020
Flow Prediction in Spatio-Temporal Networks Based on Multitask Deep Learning.	18	0.61	2020
Predicting and Ranking Box Office Revenue of Movies Based on Big Data	2	0.38	2020
AutoST: Efficient Neural Architecture Search for Spatio-Temporal Prediction	9	0.52	2020
Federated Forest.	0	0.34	2019
On the Feasibility of Wi-Fi Based Material Sensing	2	0.36	2019
UrbanFM: Inferring Fine-Grained Urban Flows.	7	0.48	2019
CityGuard: Citywide Fire Risk Forecasting Using A Machine Learning Approach	0	0.34	2019
Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning	33	1.19	2019
Data-Driven-Based Optimization for Power System Var-Voltage Sequential Control	0	0.34	2019
CityTraffic: Modeling Citywide Traffic via Neural Memorization and Generalization Approach	2	0.38	2019
Pushing The Range Limits Of Commercial Passive Rfids	2	0.36	2019
Matrix Factorization for Spatio-Temporal Neural Networks with Applications to Urban Flow Prediction	5	0.42	2019
GeoMAN: Multi-level Attention Networks for Geo-sensory Time Series Prediction.	5	0.44	2018
End-to-end Models with auditory attention in Multi-channel Keyword Spotting.	0	0.34	2018
HyperST-Net: Hypernetworks for Spatio-Temporal Forecasting.	1	0.35	2018
Deep Distributed Fusion Network for Air Quality Prediction.	18	0.79	2018
When Will You Arrive? Estimating Travel Time Based on Deep Neural Networks.	8	0.46	2018
Predicting Citywide Crowd Flows Using Deep Spatio-Temporal Residual Networks.	37	1.10	2018
DeepCrime: Attentive Hierarchical Recurrent Networks for Crime Prediction.	11	0.48	2018
Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction.	52	1.73	2017
DNN-based prediction model for spatio-temporal data.	46	1.16	2016
Incremental updating of rough approximations in interval-valued information systems under attribute generalization.	15	0.46	2016
ST-MVL: Filling Missing Values in Geo-Sensory Time Series Data.	10	0.52	2016
J2M: a Java to MapReduce translator for cloud computing.	0	0.34	2016
Parallel Large-Scale Attribute Reduction on Cloud Systems.	0	0.34	2016
Efficient parallel boolean matrix based algorithms for computing composite rough set approximations.	23	0.65	2016
Parallel computing of approximations in dominance-based rough sets approach	15	0.57	2015
A fuzzy rough set approach for incremental feature selection on hybrid information systems.	64	1.08	2015
Incremental updating approximations in probabilistic rough sets under the variation of attributes.	40	0.75	2015
A Parallel Matrix-Based Method for Computing Approximations in Incomplete Information Systems	34	0.83	2015
不同MapReduce运行系统的性能测试与分析 (Performance Testing and Analysis among Different MapReduce Runtime Systems).	0	0.34	2015
Supervised deep learning with auxiliary networks	8	0.43	2014
A rough set-based incremental approach for learning knowledge in dynamic incomplete information systems	16	0.51	2014

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