Bin Yang
Researcher, ORCID id # 0000-0002-1658-1079
Bin Yang's AcademicInfluence.com Rankings
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Computer Science
Bin Yang's Degrees
- PhD Computer Science Stanford University
- Masters Computer Science University of California, Berkeley
- Bachelors Computer Science University of California, Berkeley
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Why Is Bin Yang Influential?
(Suggest an Edit or Addition)According to Wikipedia, Bin Yang is a professor of computer science the department of computer science, Aalborg University. His research interests include data management and machine learning. Education and career Bin Yang received his bachelor and master degrees from Northwestern Polytechnical University, China in 2004 and 2007, respectively, and his Ph.D. from Fudan University in China in 2010. From 2010 to 2011, he worked at the Databases and Information Systems department at Max-Planck-Institut für Informatik in Germany. From 2011 to 2014, he was employed at the department of computer science, Aarhus University. He has been employed at Aalborg University since 2014.
Bin Yang's Published Works
Published Works
- Graph Model Based Indoor Tracking (2009) (191)
- Outlier Detection for Time Series with Recurrent Autoencoder Ensembles (2019) (156)
- Personalized route recommendation using big trajectory data (2015) (143)
- Travel Cost Inference from Sparse, Spatio-Temporally Correlated Time Series Using Markov Models (2013) (133)
- Outlier Detection for Multidimensional Time Series Using Deep Neural Networks (2018) (117)
- Stochastic skyline route planning under time-varying uncertainty (2014) (116)
- Probabilistic threshold k nearest neighbor queries over moving objects in symbolic indoor space (2010) (112)
- Indexing the Trajectories of Moving Objects in Symbolic Indoor Space (2009) (95)
- Query processing of massive trajectory data based on mapreduce (2009) (90)
- Finding Top-k Shortest Paths with Diversity (2018) (81)
- Using Incomplete Information for Complete Weight Annotation of Road Networks (2013) (80)
- Building Accurate 3D Spatial Networks to Enable Next Generation Intelligent Transportation Systems (2013) (77)
- Toward personalized, context-aware routing (2015) (75)
- EcoMark: evaluating models of vehicular environmental impact (2012) (73)
- Path Cost Distribution Estimation Using Trajectory Data (2016) (73)
- PACE: a PAth-CEntric paradigm for stochastic path finding (2018) (71)
- Discovery of Path Nearby Clusters in Spatial Networks (2015) (69)
- EcoTour: Reducing the Environmental Footprint of Vehicles Using Eco-routes (2013) (65)
- Correlated Time Series Forecasting using Multi-Task Deep Neural Networks (2018) (64)
- Enabling Smart Transportation Systems: A Parallel Spatio-Temporal Database Approach (2016) (64)
- EcoMark 2.0: empowering eco-routing with vehicular environmental models and actual vehicle fuel consumption data (2014) (64)
- Stochastic Weight Completion for Road Networks Using Graph Convolutional Networks (2019) (59)
- Scalable continuous range monitoring of moving objects in symbolic indoor space (2009) (59)
- Learning to Route with Sparse Trajectory Sets (2018) (57)
- Indoor - A New Data Management Frontier (2010) (57)
- Risk-aware path selection with time-varying, uncertain travel costs: a time series approach (2018) (56)
- Harvesting facts from textual web sources by constrained label propagation (2011) (54)
- EcoSky: Reducing vehicular environmental impact through eco-routing (2015) (52)
- Towards context-aware search and analysis on social media data (2013) (48)
- Towards Total Traffic Awareness (2014) (47)
- Network-Matched Trajectory-Based Moving-Object Database: Models and Applications (2015) (47)
- Subdomain Adaptation Transfer Learning Network for Fault Diagnosis of Roller Bearings (2022) (47)
- Stochastic Origin-Destination Matrix Forecasting Using Dual-Stage Graph Convolutional, Recurrent Neural Networks (2020) (46)
- Enabling time-dependent uncertain eco-weights for road networks (2014) (46)
- Distinguishing Trajectories from Different Drivers using Incompletely Labeled Trajectories (2018) (46)
- Spatio-temporal joins on symbolic indoor tracking data (2011) (43)
- Finding top-k local users in geo-tagged social media data (2015) (40)
- XML Structural Similarity Search Using MapReduce (2010) (38)
- Fast stochastic routing under time-varying uncertainty (2019) (36)
- Finding Top-k Optimal Sequenced Routes (2018) (34)
- Finding Frequently Visited Indoor POIs Using Symbolic Indoor Tracking Data (2016) (30)
- Context-aware, preference-based vehicle routing (2020) (29)
- TRUSTER: TRajectory Data Processing on ClUSTERs (2009) (28)
- Integrating non-spatial preferences into spatial location queries (2014) (27)
- iPark: identifying parking spaces from trajectories (2013) (25)
- A case study of sample entropy analysis to the fault detection of bearing in wind turbine (2017) (24)
- Graph Attention Recurrent Neural Networks for Correlated Time Series Forecasting - Full version (2021) (24)
- Anytime stochastic routing with hybrid learning (2020) (21)
- Efficient Top-k Spatial Locality Search for Co-located Spatial Web Objects (2014) (21)
- Finding non-dominated paths in uncertain road networks (2016) (20)
- AutoCTS: Automated Correlated Time Series Forecasting (2021) (18)
- Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles (2021) (17)
- Correlated Time Series Forecasting using Deep Neural Networks: A Summary of Results (2018) (15)
- Finding Shortest Paths on Terrains by Killing Two Birds with One Stone (2013) (14)
- MOIR/UOTS: Trip Recommendation with User Oriented Trajectory Search (2013) (14)
- Comprehensive Analysis of Critical Issues in All-Vanadium Redox Flow Battery (2022) (12)
- Infinitely Wide Graph Convolutional Networks: Semi-supervised Learning via Gaussian Processes (2020) (12)
- Uncertainty estimation and explainability in deep learning-based age estimation of the human brain: Results from the German National Cohort MRI study (2021) (11)
- Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting-Full Version (2022) (10)
- Anomaly Detection in Time Series with Robust Variational Quasi-Recurrent Autoencoders (2022) (9)
- Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs (2022) (9)
- Effect of vanadium on the microstructure and kinetics of discontinuous precipitation in Cu–3.2Ti–0.2Fe alloy (2021) (9)
- Provenance for the Chang 6 and Chang 8 Member of the Yanchang Formation in the Xifeng area and in the periphery Ordos Basin: Evidence from petrologic geochemistry (2007) (8)
- Using Wide Table to manage web data: a survey (2008) (8)
- Outlier Detection for Streaming Task Assignment in Crowdsourcing (2022) (8)
- Continual Unsupervised Domain Adaptation for Semantic Segmentation using a Class-Specific Transfer (2022) (8)
- Towards Spatio- Temporal Aware Traffic Time Series Forecasting (2022) (8)
- Stochastic Shortest Path Finding in Path-Centric Uncertain Road Networks (2018) (8)
- Assessing the Accuracy Benefits of On-the-Fly Trajectory Selection in Fine-Grained Travel-Time Estimation (2017) (7)
- Scalable spatio-temporal knowledge harvesting (2011) (7)
- aSTEP: Aau's Spatio-TEmporal Data Analytics Platform (2018) (7)
- Direction-of-Arrival Estimation of Strictly Noncircular Signal by Maximum Likelihood Based on Moving Array (2019) (7)
- Direction-of-Arrival Estimation of Strictly Noncircular Signal by Maximum Likelihood Based on Moving Array (2019) (7)
- Influence of reflector installation errors on optical-thermal performance of parabolic trough collectors based on a MCRT - FVM coupled model (2021) (6)
- Efficient and Accurate Path Cost Estimation Using Trajectory Data (2015) (6)
- Recurrent Multi-Graph Neural Networks for Travel Cost Prediction (2018) (6)
- BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule (2021) (5)
- A Charging Scheduling System for Electric Vehicles using Vehicle-to-Grid (2019) (5)
- A Deep Learning-based Quality Assessment and Segmentation System with a Large-scale Benchmark Dataset for Optical Coherence Tomographic Angiography Image (2021) (5)
- Robust and Explainable Autoencoders for Unsupervised Time Series Outlier Detection (2022) (4)
- Model-order reduction using a nonlinear model strategy (1992) (4)
- Singular Value Decomposition Based Pilot Protection for Transmission Lines With Converters on Both Ends (2022) (4)
- Learning to Route with Sparse Trajectory Sets - Extended Version (2018) (4)
- Investigating Cross-Domain Losses for Speech Enhancement (2020) (4)
- Improving Uncertainty of Deep Learning-based Object Classification on Radar Spectra using Label Smoothing (2021) (3)
- TTAPS: Test-Time Adaption by Aligning Prototypes using Self-Supervision (2022) (3)
- Efficient Approximate Similarity Search Using Random Projection Learning (2011) (3)
- Effect of Deformation Temperature and Strain Rate on Semi Solid Deformation Behavior of spray-formed Al-70%Si Alloys (2005) (3)
- Study on Formalizable Aircraft Assembly Process Planning Knowledge (2006) (2)
- Bluff body vortex-induced vibration control of floating wind turbines based on a novel intelligent robust control algorithm (2022) (2)
- Optimal model reference adaptive control of spar-type floating wind turbine based on simulated annealing algorithm (2022) (2)
- Estimating travel speed distributions of paths in road networks using dual-input LSTMs (2020) (2)
- Influence-aware Task Assignment in Spatial Crowdsourcing (2022) (2)
- Risk-aware path selection with time-varying, uncertain travel costs: a time series approach (2018) (2)
- A Road Segment Attribute Completion System (2020) (2)
- Analytical Model of Inverter-Interfaced Renewable Energy Sources for Power System Protection (2023) (2)
- Finding Top-k Shortest Paths with Diversity (2018) (2)
- Real-time structural health monitoring system based on streaming data (2021) (2)
- Microstructure and electrical performance of Ce0.3Ni1.5Co2.5Sb12 skutterudite from bulk to film (2021) (2)
- Context-aware, preference-based vehicle routing (2020) (1)
- PathRank: A Multi-Task Learning Framework to Rank Paths in Spatial Networks (2019) (1)
- Joint Emergency Data and Service Evacuation in Cloud Data Centers Against Early Warning Disasters (2022) (1)
- A Comparative Study on Unsupervised Anomaly Detection for Time Series: Experiments and Analysis (2022) (1)
- Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting (2022) (1)
- Delineate the Laminated Reservoir Profile While Drilling for Optimal Well Placement with Uncertainty Management (2016) (1)
- AutoCTS: Automated Correlated Time Series Forecasting - Extended Version (2021) (1)
- Force myography benchmark data for hand gesture recognition and transfer learning (2020) (1)
- Manufacturing process information modeling using a metamodeling approach (2017) (1)
- Optical performance investigation on flat receiver for parabolic trough solar collector based on the MCRT method (2023) (1)
- Fault Analysis of Inverter-Interfaced RESs Considering Decoupled Sequence Control (2023) (1)
- Application of hyperspectral imaging assisted with integrated deep learning approaches in identifying geographical origins and predicting nutrient contents of Coix seeds. (2022) (1)
- An Unsupervised Domain Adaptive Approach for Multimodal 2D Object Detection in Adverse Weather Conditions (2022) (1)
- GLPU: A Geometric Approach For Lidar Pointcloud Upsampling (2022) (1)
- A New Approach for Quality Monitoring Based on Multi-Channel Optical Fiber (2020) (1)
- Wavelet-Based Unsupervised Label-to-Image Translation (2022) (1)
- Research on GNSS interference recognition based on ROI of correlation peaks (2022) (1)
- Faulted Line-Section Location in Distribution System With Inverter-Interfaced DGs Using Sparse Meters (2023) (1)
- A Softly Switching Multiple Model Predictive Control for Aero-engines (2021) (1)
- Research on GNSS Spoofing Mitigation Technology Based on Spoofing Correlation Peak Cancellation (2022) (1)
- USIS: Unsupervised Semantic Image Synthesis (2021) (1)
- Influence-aware Task Assignment in Spatial Crowdsourcing (Technical Report) (2022) (0)
- Weighted Mutual Learning with Diversity-Driven Model Compression (2022) (0)
- On-orbit performance stability analysis of typical spaceborne high-gain parabolic antenna (2022) (0)
- Classifying the tracing difficulty of 3D neuron image blocks based on deep learning (2021) (0)
- Effects of mixed anionic/cationic surfactants on ZnO nanofluid (2023) (0)
- Monitoring Assessment and Impact Analysis of BeiDou and GNSS Time Offset (2021) (0)
- Fast stochastic routing under time-varying uncertainty (2019) (0)
- Dirichlet Prior Networks for Continual Learning (2022) (0)
- Differentiable Architecture Search Meets Network Pruning at Initialization: A More Reliable, Efficient, and Flexible Framework (2021) (0)
- Thermal-economic and sensitivity analysis of different Rankine-based Carnot battery configurations for energy storage (2023) (0)
- Direct position determination algorithm for non‐circular sources in the presence of mutual coupling and its theoretical performance analysis (2023) (0)
- Anomaly Detection of Gear Shaft Based on Discrete Wavelet Transform and Time Series Analysis (2022) (0)
- Design of pseudolite supplemented geolocation system for universal receiver (2022) (0)
- PACE: a PAth-CEntric paradigm for stochastic path finding (2017) (0)
- Numerical analysis of floating wind turbines stability control strategy based on a novel tuned mass damper (2022) (0)
- Thermal-mechanical performance analysis of parabolic trough receivers under various optical errors based on coupled optical-thermal-stress model (2023) (0)
- A MLE-based blind signal separation method for time–frequency overlapped signal using neural network (2022) (0)
- Spectrum-Based Online Estimation of IQ Imbalance for Near Field Radar Distance Sensors (2021) (0)
- AutoPINN: When AutoML Meets Physics-Informed Neural Networks (2022) (0)
- A Bias Reduction Method for TDOA/GROA-Based Localization (2022) (0)
- Food Safety Traceability Method Based on Blockchain Technology (2020) (0)
- DOA tracking using an improved direction lock loop based on a three-element L-shaped array (2022) (0)
- FLAG3D: A 3D Fitness Activity Dataset with Language Instruction (2022) (0)
- Finding Top-k Optimal Sequenced Routes - Full Version (2018) (0)
- A Single-Step Method for Over-the-Horizon Geolocation Using Importance Sampling (2021) (0)
- A Correlated Time Series Forecast System (2020) (0)
- LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation - Extended Version (2023) (0)
- Profit Optimization in Spatial Crowdsourcing: Effectiveness and Efficiency (2022) (0)
- Deep Learning for GPS Spoofing Detection in Cellular Enabled Unmanned Aerial Vehicle Systems (2022) (0)
- Towards Combined Event Detection and Classification for Non-Intrusive Load Monitoring Using Convolutional Neural Networks (2021) (0)
- Influence of Temperature and Stress Factors on Warm Compaction Process of Molybdenum Powder Density (2011) (0)
- Influence of Processing Parameters of Warm Compaction on Green Density of Molybdenum Powder and Compact Defect Analysis (2011) (0)
- NIFF: Alleviating Forgetting in Generalized Few-Shot Object Detection via Neural Instance Feature Forging (2023) (0)
- Classifying the tracing difficulty of 3D neuron image blocks based on deep learning (2021) (0)
- AutoCTS (2021) (0)
- Estimation of Bivariate Structural Causal Models by Variational Gaussian Process Regression Under Likelihoods Parametrised by Normalising Flows (2021) (0)
- Thermodynamic investigation of a direct-expansion solar assisted heat pump with evacuated tube collector-evaporator (2023) (0)
- Towards Longitudinal Analytics on Social Media Data (2019) (0)
- CGF: A Category Guidance Based PM$_{2.5}$ Sequence Forecasting Training Framework (2023) (0)
- Research Status and Prospect of Matcha Blending Based on Intelligent Algorithm (2021) (0)
- Size optimization of nanoparticle and stability analysis of nanofluids for spectral beam splitting hybrid PV/T system (2023) (0)
- Design Automation for Fast, Lightweight, and Effective Deep Learning Models: A Survey (2022) (0)
- Research and numerical analysis of floating offshore wind turbine based on a novel extended tuned mass damper (2023) (0)
- A New Formulation of The Shortest Path Problem with On-Time Arrival Reliability (2018) (0)
- Towards Discriminative and Transferable One-Stage Few-Shot Object Detectors (2022) (0)
- Experimental study of turbulence intensity on the wake characteristics of a horizontal-axis wind turbine (2022) (0)
- Efficient Single Image Super-Resolution Using Dual Path Connections with Multiple Scale Learning (2021) (0)
- Weakly-supervised Temporal Path Representation Learning with Contrastive Curriculum Learning (2022) (0)
- A Pattern Discovery Approach to Multivariate Time Series Forecasting (2022) (0)
- DO-Based Adaptive Consensus Control for Multiple MUAVs With Dynamic Constraints (2023) (0)
- A Mixed-Integer Solution for TDOA Based Direct Positioning of Digital Modulation Signal (2022) (0)
- Robust Direct position determination against sensor gain and phase errors with the use of calibration sources (2020) (0)
- Stability analysis of floating wind turbine structure with turned mass damper-nonlinear energy sink (2022) (0)
- LSDM: Long-Short Diffeomorphic Motion for Weakly-Supervised Ultrasound Landmark Tracking (2023) (0)
- Interpreting Operation Selection in Differentiable Architecture Search: A Perspective from Influence-Directed Explanations (2022) (0)
- Representation Learning in Heterogeneous Information Networks Based on Hyper Adjacency Matrix (2022) (0)
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What Schools Are Affiliated With Bin Yang?
Bin Yang is affiliated with the following schools:
- Inner Mongolia University of Technology
- Fudan University
- Xi'an University of Technology
- Aarhus University
- University of California, Berkeley
- Aalborg University
- East China Normal University
- University of Stuttgart
- Beihang University
- Nanjing Institute of Technology
- Stanford University
- North China Electric Power University
- Northwestern Polytechnical University