Junbo Zhang

According to our database1, Junbo Zhang authored at least 120 papers between 2010 and 2022.

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Bibliography

2022
Predicting Citywide Crowd Flows in Irregular Regions Using Multi-View Graph Convolutional Networks.
IEEE Trans. Knowl. Data Eng., 2022

Spatio-Temporal Meta Learning for Urban Traffic Prediction.
IEEE Trans. Knowl. Data Eng., 2022

Introduction to the Special Issue on Deep Learning for Spatio-Temporal Data: Part 2.
ACM Trans. Intell. Syst. Technol., 2022

Federated Forest.
IEEE Trans. Big Data, 2022

Fusing Spatial Attention with Spectral-Channel Attention Mechanism for Hyperspectral Image Classification via Encoder-Decoder Networks.
Remote. Sens., 2022

Real-Time Ray-Traced Soft Shadows of Environmental Lighting by Conical Ray Culling.
Proc. ACM Comput. Graph. Interact. Tech., 2022

Fairness and accuracy in horizontal federated learning.
Inf. Sci., 2022

Contrastive Deep Supervision.
CoRR, 2022

Integrating a Manual Pipette into a Collaborative Robot Manipulator for Flexible Liquid Dispensing.
CoRR, 2022

Rethinking the Augmentation Module in Contrastive Learning: Learning Hierarchical Augmentation Invariance with Expanded Views.
CoRR, 2022

A Cross-City Federated Transfer Learning Framework: A Case Study on Urban Region Profiling.
CoRR, 2022

Spatio-Temporal Dynamic Graph Relation Learning for Urban Metro Flow Prediction.
CoRR, 2022

HiSTGNN: Hierarchical Spatio-temporal Graph Neural Networks for Weather Forecasting.
CoRR, 2022

PLatter: On the Feasibility of Building-scale Power Line Backscatter.
Proceedings of the 19th USENIX Symposium on Networked Systems Design and Implementation, 2022

Precision CityShield Against Hazardous Chemicals Threats via Location Mining and Self-Supervised Learning.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

DeepSpatial'22: The 3rd International Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Pseudo Strong Labels for Large Scale Weakly Supervised Audio Tagging.
Proceedings of the IEEE International Conference on Acoustics, 2022

Multi-memory Enhanced Separation Network for Indoor Temperature Prediction.
Proceedings of the Database Systems for Advanced Applications, 2022

2021
ACM TIST Special Issue on Deep Learning for Spatio-Temporal Data: Part 1.
ACM Trans. Intell. Syst. Technol., 2021

Multi-source information fusion based on rough set theory: A review.
Inf. Fusion, 2021

Federated Digital Gateway: Methodologies, Tools, and Applications.
IEEE Intell. Syst., 2021

GigaSpeech: An Evolving, Multi-domain ASR Corpus with 10, 000 Hours of Transcribed Audio.
CoRR, 2021

AutoSTG: Neural Architecture Search for Predictions of Spatio-Temporal Graph✱.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Fine-Grained Urban Flow Prediction.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Locating Everyday Objects using NFC Textiles.
Proceedings of the IPSN '21: The 20th International Conference on Information Processing in Sensor Networks, 2021

speechocean762: An Open-Source Non-Native English Speech Corpus for Pronunciation Assessment.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

GigaSpeech: An Evolving, Multi-Domain ASR Corpus with 10, 000 Hours of Transcribed Audio.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

POI Alias Discovery in Delivery Addresses using User Locations.
Proceedings of the SIGSPATIAL '21: 29th International Conference on Advances in Geographic Information Systems, 2021

Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Flow Prediction in Spatio-Temporal Networks Based on Multitask Deep Learning.
IEEE Trans. Knowl. Data Eng., 2020

Urban flow prediction from spatiotemporal data using machine learning: A survey.
Inf. Fusion, 2020

Predicting and ranking box office revenue of movies based on big data.
Inf. Fusion, 2020

Fairness and Accuracy in Federated Learning.
CoRR, 2020

Data Augmentation For Children's Speech Recognition - The "Ethiopian" System For The SLT 2021 Children Speech Recognition Challenge.
CoRR, 2020

ReAD: A Regional Anomaly Detection Framework Based on Dynamic Partition.
CoRR, 2020

Revisiting Convolutional Neural Networks for Urban Flow Analytics.
CoRR, 2020

Federated Extra-Trees with Privacy Preserving.
CoRR, 2020

Distributed Reactive Power Regulation Considering Load Voltage and Power Loss.
IEEE Access, 2020

Online Estimation of Power System Inertia Constant Under Normal Operating Conditions.
IEEE Access, 2020

Revisiting Convolutional Neural Networks for Citywide Crowd Flow Analytics.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

NoFaceContact: stop touching your face with NFC.
Proceedings of the MobiSys '20: The 18th Annual International Conference on Mobile Systems, 2020

Joltik: enabling energy-efficient "future-proof" analytics on low-power wide-area networks.
Proceedings of the MobiCom '20: The 26th Annual International Conference on Mobile Computing and Networking, 2020

AutoST: Efficient Neural Architecture Search for Spatio-Temporal Prediction.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Estimation of Power System Inertia Under Normal Operating Conditions.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2020

Power System Sensitivity Matrix Estimation by Multivariable Least Squares Considering Mitigating Data Saturation.
Proceedings of the 46th Annual Conference of the IEEE Industrial Electronics Society, 2020

You Are How You Use: Catching Gas Theft Suspects among Diverse Restaurant Users.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Data-Driven-Based Optimization for Power System Var-Voltage Sequential Control.
IEEE Trans. Ind. Informatics, 2019

CityGuard: Citywide Fire Risk Forecasting Using A Machine Learning Approach.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019

Urban flows prediction from spatial-temporal data using machine learning: A survey.
CoRR, 2019

Federated Forest.
CoRR, 2019

Arbitrage of Energy Storage in Electricity Markets with Deep Reinforcement Learning.
CoRR, 2019

Predicting Citywide Crowd Flows in Irregular Regions Using Multi-View Graph Convolutional Networks.
CoRR, 2019

A Predictor-Corrector Method for Power System Variable Step Numerical Simulation.
CoRR, 2019

Pushing the Range Limits of Commercial Passive RFIDs.
Proceedings of the 16th USENIX Symposium on Networked Systems Design and Implementation, 2019

On the Feasibility of Wi-Fi Based Material Sensing.
Proceedings of the 25th Annual International Conference on Mobile Computing and Networking, 2019

Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

UrbanFM: Inferring Fine-Grained Urban Flows.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

CityTraffic: Modeling Citywide Traffic via Neural Memorization and Generalization Approach.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Matrix Factorization for Spatio-Temporal Neural Networks with Applications to Urban Flow Prediction.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extraction.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
End-to-end Models with auditory attention in Multi-channel Keyword Spotting.
CoRR, 2018

Sequence-to-sequence Models for Small-Footprint Keyword Spotting.
CoRR, 2018

HyperST-Net: Hypernetworks for Spatio-Temporal Forecasting.
CoRR, 2018

Predicting citywide crowd flows using deep spatio-temporal residual networks.
Artif. Intell., 2018

Deep Distributed Fusion Network for Air Quality Prediction.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Empirical Evaluation of Speaker Adaptation on DNN Based Acoustic Model.
Proceedings of the Interspeech 2018, 2018

Investigating Generative Adversarial Networks Based Speech Dereverberation for Robust Speech Recognition.
Proceedings of the Interspeech 2018, 2018

Attention-based End-to-End Models for Small-Footprint Keyword Spotting.
Proceedings of the Interspeech 2018, 2018

Time Series Trend Detection and Forecasting Using Complex Network Topology Analysis.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

GeoMAN: Multi-level Attention Networks for Geo-sensory Time Series Prediction.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Attention-Based End-to-End Speech Recognition on Voice Search.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

DeepCrime: Attentive Hierarchical Recurrent Networks for Crime Prediction.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

When Will You Arrive? Estimating Travel Time Based on Deep Neural Networks.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Noise Effect and Noise-Assisted Ensemble Regression in Power System Online Sensitivity Identification.
IEEE Trans. Ind. Informatics, 2017

Online Identification of Power System Equivalent Inertia Constant.
IEEE Trans. Ind. Electron., 2017

Attention-Based End-to-End Speech Recognition in Mandarin.
CoRR, 2017

Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
J2M: a Java to MapReduce translator for cloud computing.
J. Supercomput., 2016

Microperturbation Method for Power System Online Model Identification.
IEEE Trans. Ind. Informatics, 2016

Instantaneous Electromechanical Dynamics Monitoring in Smart Transmission Grid.
IEEE Trans. Ind. Informatics, 2016

Efficient parallel boolean matrix based algorithms for computing composite rough set approximations.
Inf. Sci., 2016

Incremental updating of rough approximations in interval-valued information systems under attribute generalization.
Inf. Sci., 2016

Parallel Large-Scale Attribute Reduction on Cloud Systems.
CoRR, 2016

ST-MVL: Filling Missing Values in Geo-Sensory Time Series Data.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

DNN-based prediction model for spatio-temporal data.
Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS 2016, Burlingame, California, USA, October 31, 2016

2015
A Parallel Matrix-Based Method for Computing Approximations in Incomplete Information Systems.
IEEE Trans. Knowl. Data Eng., 2015

Incremental updating approximations in probabilistic rough sets under the variation of attributes.
Knowl. Based Syst., 2015

Parallel computing of approximations in dominance-based rough sets approach.
Knowl. Based Syst., 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).
计算机科学, 2015

A fuzzy rough set approach for incremental feature selection on hybrid information systems.
Fuzzy Sets Syst., 2015

PICKT: A Solution for Big Data Analysis.
Proceedings of the Rough Sets and Knowledge Technology - 10th International Conference, 2015

2014
Composite rough sets for dynamic data mining.
Inf. Sci., 2014

A comparison of parallel large-scale knowledge acquisition using rough set theory on different MapReduce runtime systems.
Int. J. Approx. Reason., 2014

A rough set-based incremental approach for learning knowledge in dynamic incomplete information systems.
Int. J. Approx. Reason., 2014

Incremental Maintenance of Rough Fuzzy Set Approximations under the Variation of Object Set.
Fundam. Informaticae, 2014

Supervised deep learning with auxiliary networks.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

2013
A Novel Discriminative Method for Pronunciation Quality Assessment.
IEICE Trans. Inf. Syst., 2013

A Parallel Implementation of Computing Composite Rough Set Approximations on GPUs.
Proceedings of the Rough Sets and Knowledge Technology - 8th International Conference, 2013

A Fuzzy Rough Set Approach for Incrementally Updating Approximations in Hybrid Information Systems.
Proceedings of the Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 2013

PLAR: Parallel Large-Scale Attribute Reduction on Cloud Systems.
Proceedings of the International Conference on Parallel and Distributed Computing, 2013

H2T: A Simple Hadoop-to-Twister Translator for Cloud Computing.
Proceedings of the International Symposium on Biometrics and Security Technologies, 2013

A novel discriminative method for pronunciation quality assessment.
Proceedings of the IEEE International Conference on Acoustics, 2013

A Computer-Assist Algorithm to Detect Repetitive Stuttering Automatically.
Proceedings of the 2013 International Conference on Asian Language Processing, 2013

An incremental approach for updating approximations of rough fuzzy set under the variation of attribute values.
Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments, 2013

2012
Rough Sets Based Incremental Rule Acquisition in Set-Valued Information Systems.
Proceedings of the Autonomous Systems: Developments and Trends, 2012

A parallel method for computing rough set approximations.
Inf. Sci., 2012

Neighborhood rough sets for dynamic data mining.
Int. J. Intell. Syst., 2012

Rough sets based matrix approaches with dynamic attribute variation in set-valued information systems.
Int. J. Approx. Reason., 2012

A Forced Alignment Based Approach for English Passage Reading Assessment.
IEICE Trans. Inf. Syst., 2012

Automatic Scoring on English Passage Reading Quality.
Proceedings of the Advances in Swarm Intelligence - Third International Conference, 2012

An Incremental Approach for Updating Approximations of Rough Fuzzy Sets under the Variation of the Object Set.
Proceedings of the Rough Sets and Current Trends in Computing, 2012

Parallel rough set based knowledge acquisition using MapReduce from big data.
Proceedings of the 1st International Workshop on Big Data, 2012

Composite Rough Sets.
Proceedings of the Artificial Intelligence and Computational Intelligence, 2012

2011
Incremental learning optimization on knowledge discovery in dynamic business intelligent systems.
J. Glob. Optim., 2011

Neighborhood Rough Sets Based Matrix Approach for Calculation of the Approximations.
Proceedings of the Rough Sets and Knowledge Technology - 6th International Conference, 2011

2010
A new method for calculation of the approximations under the probabilistic rough sets.
Proceedings of the 2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2010

An approach for incremental updating approximations in Variable precision rough sets while attribute generalized.
Proceedings of the 2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2010

Approaches for dynamically updating set approximations in dominance based rough sets while condition attributes value coarsening and refining.
Proceedings of the 2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2010

A Method for Incremental Updating Approximations Based on Variable Precision Set-Valued Ordered Information Systems.
Proceedings of the 2010 IEEE International Conference on Granular Computing, 2010

A Method for Incremental Updating Approximations when Objects and Attributes Vary with Time.
Proceedings of the 2010 IEEE International Conference on Granular Computing, 2010


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