2024
Explaining poor performance of text-based machine learning models for vulnerability detection.
Empir. Softw. Eng., September, 2024
Design of a bi-level PSO based modular neural network for multi-step time series prediction.
Appl. Intell., September, 2024
Citation Forecasting with Multi-Context Attention-Aided Dependency Modeling.
ACM Trans. Knowl. Discov. Data, July, 2024
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks.
ACM Comput. Surv., May, 2024
An adaptive evolutionary modular neural network with intermodule connections.
Appl. Intell., March, 2024
Zero-shot visual grounding via coarse-to-fine representation learning.
Neurocomputing, 2024
Network Interdiction Goes Neural.
CoRR, 2024
Bayesian-Guided Generation of Synthetic Microbiomes with Minimized Pathogenicity.
CoRR, 2024
Towards Interpreting Multi-Objective Feature Associations.
CoRR, 2024
Deep Sensitivity Analysis for Objective-Oriented Combinatorial Optimization.
CoRR, 2024
Novel System-Level Driving-Cycle-Oriented Design Co-Optimization of Electrical Machines for Electrical Vehicles.
IEEE Access, 2024
Towards Interpreting Multi-Objective Feature Associations.
Proceedings of the IEEE International Systems Conference, 2024
GraphNILM: A Graph Neural Network for Energy Disaggregation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024
A Graph-based Representation Framework for Trajectory Recovery via Spatiotemporal Interval-Informed Seq2Seq.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Unifying Spectral and Spatial Graph Neural Networks.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
FHIRViz: Multi-Agent Platform for FHIR Visualization to Advance Healthcare Analytics.
Proceedings of the 15th ACM International Conference on Bioinformatics, 2024
Multiple-Source Localization from a Single-Snapshot Observation Using Graph Bayesian Optimization.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Graph Bayesian Optimization for Multiplex Influence Maximization.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Memetic Algorithms for Spatial Partitioning Problems.
ACM Trans. Spatial Algorithms Syst., March, 2023
Fast and adaptive dynamics-on-graphs to dynamics-of-graphs translation.
Frontiers Big Data, January, 2023
A Benchmark Dataset of Endoscopic Images and Novel Deep Learning Method to Detect Intestinal Metaplasia and Gastritis Atrophy.
IEEE J. Biomed. Health Informatics, 2023
XFlow: Benchmarking Flow Behaviors over Graphs.
CoRR, 2023
Deep Representation Learning: Fundamentals, Technologies, Applications, and Open Challenges.
IEEE Access, 2023
Understanding Influence Maximization via Higher-Order Decomposition.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023
Weakly Supervised Referring Expression Grounding via Dynamic Self-Knowledge Distillation.
IROS, 2023
Infinitely Deep Graph Transformation Networks.
Proceedings of the IEEE International Conference on Data Mining, 2023
Towards Optimal Microbiome to Inhibit Multidrug Resistance.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2023
Exploring Tradeoffs in Automated School Redistricting: Computational and Ethical Perspectives.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Deep representation learning: Fundamentals, Perspectives, Applications, and Open Challenges.
CoRR, 2022
Demystifying Graph Convolution with a Simple Concatenation.
CoRR, 2022
Explain Influence Maximization with Sobol Indices.
CoRR, 2022
Sampling-based techniques for designing school boundaries.
CoRR, 2022
From "Dynamics on Graphs" to "Dynamics of Graphs": An Adaptive Echo-State Network Solution (Student Abstract).
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Blocking Influence at Collective Level with Hard Constraints (Student Abstract).
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Augmentation of Chinese Character Representations with Compositional Graph Learning (Student Abstract).
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Early Forecast of Traffic Accident Impact Based on a Single-Snapshot Observation (Student Abstract).
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Practices and Applications of Convolutional Neural Network-Based Computer Vision Systems in Animal Farming: A Review.
Sensors, 2021
Deep Graph Learning for Circuit Deobfuscation.
Frontiers Big Data, 2021
Bridging the Gap between Spatial and Spectral Domains: A Theoretical Framework for Graph Neural Networks.
CoRR, 2021
Development and evaluation of a method to detect broilers continuously walking around feeder as an indication of restricted feeding behaviors.
Comput. Electron. Agric., 2021
On the Mean Local Delay of Clustered Fog Radio Access Networks.
Proceedings of the 32nd IEEE Annual International Symposium on Personal, 2021
A Hierarchical Attention Graph Convolutional Network for Traffic Incident Impact Forecasting.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
Deep diffusion-based forecasting of COVID-19 by incorporating network-level mobility information.
Proceedings of the ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining, Virtual Event, The Netherlands, November 8, 2021
Dynamic Multi-Context Attention Networks for Citation Forecasting of Scientific Publications.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks.
CoRR, 2020
Graph Convolutional Networks with Kalman Filtering for Traffic Prediction.
Proceedings of the SIGSPATIAL '20: 28th International Conference on Advances in Geographic Information Systems, 2020
Incorporating domain knowledge into Memetic Algorithms for solving Spatial Optimization problems.
Proceedings of the SIGSPATIAL '20: 28th International Conference on Advances in Geographic Information Systems, 2020
Towards More Accurate Uncertainty Estimation In Text Classification.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Estimating the Circuit De-obfuscation Runtime based on Graph Deep Learning.
Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020
Geospatial Clustering for Balanced and Proximal Schools.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Estimating the Circuit Deobfuscating Runtime based on Graph Deep Learning.
CoRR, 2019
Patent Citation Dynamics Modeling via Multi-Attention Recurrent Networks.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
REGAL: A Regionalization framework for school boundaries.
Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2019
2018
Virtual Metering: An Efficient Water Disaggregation Algorithm via Nonintrusive Load Monitoring.
ACM Trans. Intell. Syst. Technol., 2018
DIMPL: a distributed in-memory drone flight path builder system.
J. Big Data, 2018
Rational Neural Networks for Approximating Jump Discontinuities of Graph Convolution Operator.
CoRR, 2018
Distributed Self-Paced Learning in Alternating Direction Method of Multipliers.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Rational Neural Networks for Approximating Graph Convolution Operator on Jump Discontinuities.
Proceedings of the IEEE International Conference on Data Mining, 2018
StreetNet: preference learning with convolutional neural network on urban crime perception.
Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2018
2017
Multimodal Storytelling via Generative Adversarial Imitation Learning.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Learning to Fuse Music Genres with Generative Adversarial Dual Learning.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017
Trendi: Tracking stories in news and microblogs via emerging, evolving and fading topics.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
TRACES: Generating Twitter stories via shared subspace and temporal smoothness.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
2016
Storytelling in heterogeneous Twitter entity network based on hierarchical cluster routing.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016
2014
Sensorless Predictive Peak Current Control for Boost Converter Using Comprehensive Compensation Strategy.
IEEE Trans. Ind. Electron., 2014
2013
Detecting Impolite Crawler by Using Time Series Analysis.
Proceedings of the 25th IEEE International Conference on Tools with Artificial Intelligence, 2013
2003
An extended electromotive force model for sensorless control of interior permanent-magnet synchronous motors.
IEEE Trans. Ind. Electron., 2003
2000
New adaptive sliding observers for position- and velocity-sensorless controls of brushless DC motors.
IEEE Trans. Ind. Electron., 2000