Publications

January, 2024 ACM Transactions on Knowledge Discovery from Data
Citation Forecasting with Multi-Context Attention-Aided Dependency Modeling
Cite
December, 2023 ACM Computing Surveys
Bridging the gap between spatial and spectral domains: A unified framework for graph neural networks
Bridging the gap between spatial and spectral domains: A unified framework for graph neural networks
Cite
January, 2023 arXiv preprint arXiv:2308.03819
XFlow: Benchmarking Flow Behaviors over Graphs
Cite
January, 2023 Proceedings of the 2023 SIAM International Conference on Data Mining (SDM)
Understanding Influence Maximization via Higher-Order Decomposition
Understanding Influence Maximization via Higher-Order Decomposition
Cite
January, 2023 2023 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)
Towards optimal microbiome to inhibit multidrug resistance
Cite
January, 2023 ACM Transactions on Spatial Algorithms and Systems
Memetic algorithms for Spatial Partitioning problems
Cite
January, 2023 2023 IEEE International Conference on Data Mining (ICDM)
Infinitely Deep Graph Transformation Networks
Cite
January, 2023 Frontiers in big Data
Fast and adaptive dynamics-on-graphs to dynamics-of-graphs translation
Cite
January, 2023 Proceedings of the AAAI Conference on Artificial Intelligence
Exploring Tradeoffs in Automated School Redistricting: Computational and Ethical Perspectives
Cite
January, 2023 IEEE Access
Deep Representation Learning: Fundamentals, Technologies, Applications, and Open Challenges
Cite
January, 2023
Accelerating Simulation-Based Influence Maximization via Bayesian Optimization
Cite
January, 2022 Machine Learning for Computer Scientists and Data Analysts: From an Applied Perspective
Unsupervised Learning
Cite
January, 2022 Machine Learning for Computer Scientists and Data Analysts: From an Applied Perspective
Transfer Learning in Mobile Health
Cite
January, 2022 Machine Learning for Computer Scientists and Data Analysts: From an Applied Perspective
Supervised Learning
Cite
January, 2022 Machine Learning for Computer Scientists and Data Analysts: From an Applied Perspective
SensorNet: An Educational Neural Network Framework for Low-Power Multimodal Data Classification
Cite
January, 2022 arXiv preprint arXiv:2206.03703
Sampling-based techniques for designing school boundaries
Cite
January, 2022 Machine Learning for Computer Scientists and Data Analysts: From an Applied Perspective
Reinforcement Learning
Cite
January, 2022 Machine Learning for Computer Scientists and Data Analysts: From an Applied Perspective
Recommender Learning
Cite
January, 2022 Machine Learning for Computer Scientists and Data Analysts: From an Applied Perspective
Online Learning
Cite
January, 2022 Springer
Machine Learning for Computer Scientists and Data Analysts: From an Applied Perspective
Cite
January, 2022 Machine Learning for Computer Scientists and Data Analysts: From an Applied Perspective
Graph learning
Cite
January, 2022 Proceedings of the AAAI Conference on Artificial Intelligence
From “Dynamics on Graphs” to “Dynamics of Graphs”: An Adaptive Echo-State Network Solution (Student Abstract)
Cite
January, 2022 Proceedings of the 2022 SIAM International Conference on Data Mining (SDM)
Early forecasting of the impact of traffic accidents using a single shot observation
Cite
January, 2022 arXiv preprint arXiv:2207.12931
Demystifying Graph Convolution with a Simple Concatenation
Cite
January, 2022 Proceedings of the AAAI Conference on Artificial Intelligence
Blocking Influence at Collective Level with Hard Constraints (Student Abstract)
Cite
January, 2022 Proceedings of the AAAI Conference on Artificial Intelligence
Augmentation of Chinese Character Representations with Compositional Graph Learning (Student Abstract)
Cite
January, 2022 Machine Learning for Computer Scientists and Data Analysts: From an Applied Perspective
Applied Machine Learning for Cloud Resource Management
Cite
January, 2022 Machine Learning for Computer Scientists and Data Analysts: From an Applied Perspective
Adversarial Machine Learning
Cite
January, 2022 Machine Learning for Computer Scientists and Data Analysts: From an Applied Perspective
A Brief Review of Probability Theory and Linear Algebra
Cite
January, 2021 SIAM Data Mining 2021
SDM 21 Tutorial: Studying Spread Patterns of COVID-19 based on Spatiotemporal Data
Cite
January, 2021 Sensors
Practices and applications of convolutional neural network-based computer vision systems in animal farming: A review
Cite
January, 2021 Proceedings of the AAAI Conference on Artificial Intelligence
Dynamic Multi-Context Attention Networks for Citation Forecasting of Scientific Publications
Cite
January, 2021 Computers and electronics in agriculture
Development and evaluation of a method to detect broilers continuously walking around feeder as an indication of restricted feeding behaviors
Cite
January, 2021 Frontiers in big Data
Deep graph learning for circuit deobfuscation
Cite
January, 2021 Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Deep diffusion-based forecasting of COVID-19 by incorporating network-level mobility information
Cite
January, 2021 2021 IEEE International Conference on Big Data (Big Data)
A hierarchical attention graph convolutional network for traffic incident impact forecasting
Cite
January, 2020 Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Towards more accurate uncertainty estimation in text classification
Cite
January, 2020 Energy Storage Materials
Predicting the hydrogen release ability of LiBH4-based mixtures by ensemble machine learning
Cite
January, 2020 Nano Materials Science
LiBH4 for hydrogen storage-new perspectives
Cite
January, 2020 Proceedings of the 28th International Conference on Advances in Geographic Information Systems
Incorporating domain knowledge into Memetic Algorithms for solving Spatial Optimization problems
Cite
January, 2020 Proceedings of the 28th international conference on advances in geographic information systems
Graph convolutional networks with kalman filtering for traffic prediction
Graph convolutional networks with kalman filtering for traffic prediction
Cite
January, 2020 Proceedings of the AAAI Conference on Artificial Intelligence
Geospatial clustering for balanced and proximal schools
Cite
January, 2020 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE)
Estimating the circuit de-obfuscation runtime based on graph deep learning
Estimating the circuit de-obfuscation runtime based on graph deep learning
Cite
January, 2019 Nature communications
Unsupervised discovery of solid-state lithium ion conductors
Cite
January, 2019 Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
REGAL: A Regionalization framework for school boundaries
Cite
January, 2019 Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence (IJCAI-19)
Patent citation dynamics modeling via multi-attention recurrent networks
Cite
January, 2018 ACM Transactions on Intelligent Systems and Technology (TIST)
Virtual metering: An efficient water disaggregation algorithm via nonintrusive load monitoring
Cite
January, 2018 Proceedings of the 26th ACM SIGSPATIAL international conference on advances in geographic information systems
Streetnet: preference learning with convolutional neural network on urban crime perception
Streetnet: preference learning with convolutional neural network on urban crime perception
Cite
January, 2018 2018 IEEE International Conference on Data Mining (ICDM)
Rational neural networks for approximating graph convolution operator on jump discontinuities
Cite
January, 2018 arXiv preprint arXiv:1807.02234
Distributed self-paced learning in alternating direction method of multipliers
Cite
January, 2018 Journal of Big Data
DIMPL: a distributed in-memory drone flight path builder system
Cite
January, 2017 2017 IEEE International Conference on Big Data (Big Data)
Trendi: Tracking stories in news and microblogs via emerging, evolving and fading topics
Cite
January, 2017 2017 IEEE International Conference on Big Data (Big Data)
Traces: Generating twitter stories via shared subspace and temporal smoothness
Cite
January, 2017 Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-17)
Multimodal storytelling via generative adversarial imitation learning
Cite
January, 2017 2017 IEEE International Conference on Data Mining (ICDM)
Learning to fuse music genres with generative adversarial dual learning
Learning to fuse music genres with generative adversarial dual learning
Cite
January, 2016 2016 IEEE International Conference on Big Data (Big Data)
Storytelling in heterogeneous twitter entity network based on hierarchical cluster routing
Cite
January, 2015 2015 1st International Conference on Geographical Information Systems Theory, Applications and Management (GISTAM)
DIFPL: Distributed Drone Flight Path Builder System
Cite
January, 2013 2013 IEEE 25th International Conference on Tools with Artificial Intelligence
Detecting impolite crawler by using time series analysis
Cite