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CVPR 24'
Zhiqian Chen
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Citation Forecasting with Multi-Context Attention-Aided Dependency Modeling
Bridging the gap between spatial and spectral domains: A unified framework for graph neural networks
Accelerating Simulation-Based Influence Maximization via Bayesian Optimization
Deep Representation Learning: Fundamentals, Technologies, Applications, and Open Challenges
Exploring Tradeoffs in Automated School Redistricting: Computational and Ethical Perspectives
Fast and adaptive dynamics-on-graphs to dynamics-of-graphs translation
Infinitely Deep Graph Transformation Networks
Memetic algorithms for Spatial Partitioning problems
Towards optimal microbiome to inhibit multidrug resistance
Understanding Influence Maximization via Higher-Order Decomposition
XFlow: Benchmarking Flow Behaviors over Graphs
A Brief Review of Probability Theory and Linear Algebra
Adversarial Machine Learning
Applied Machine Learning for Cloud Resource Management
Augmentation of Chinese Character Representations with Compositional Graph Learning (Student Abstract)
Blocking Influence at Collective Level with Hard Constraints (Student Abstract)
Demystifying Graph Convolution with a Simple Concatenation
From “Dynamics on Graphs” to “Dynamics of Graphs”: An Adaptive Echo-State Network Solution (Student Abstract)
Graph learning
Machine Learning for Computer Scientists and Data Analysts: From an Applied Perspective
Online Learning
Recommender Learning
Reinforcement Learning
Sampling-based techniques for designing school boundaries
SensorNet: An Educational Neural Network Framework for Low-Power Multimodal Data Classification
Supervised Learning
Transfer Learning in Mobile Health
Unsupervised Learning
A hierarchical attention graph convolutional network for traffic incident impact forecasting
Deep diffusion-based forecasting of COVID-19 by incorporating network-level mobility information
Deep graph learning for circuit deobfuscation
Development and evaluation of a method to detect broilers continuously walking around feeder as an indication of restricted feeding behaviors
Dynamic Multi-Context Attention Networks for Citation Forecasting of Scientific Publications
Practices and applications of convolutional neural network-based computer vision systems in animal farming: A review
SDM 21 Tutorial: Studying Spread Patterns of COVID-19 based on Spatiotemporal Data
Estimating the circuit de-obfuscation runtime based on graph deep learning
Geospatial clustering for balanced and proximal schools
Graph convolutional networks with kalman filtering for traffic prediction
Incorporating domain knowledge into Memetic Algorithms for solving Spatial Optimization problems
LiBH4 for hydrogen storage-new perspectives
Predicting the hydrogen release ability of LiBH4-based mixtures by ensemble machine learning
Towards more accurate uncertainty estimation in text classification
Patent citation dynamics modeling via multi-attention recurrent networks
REGAL: A Regionalization framework for school boundaries
Unsupervised discovery of solid-state lithium ion conductors
DIMPL: a distributed in-memory drone flight path builder system
Distributed self-paced learning in alternating direction method of multipliers
Rational neural networks for approximating graph convolution operator on jump discontinuities
Streetnet: preference learning with convolutional neural network on urban crime perception
Virtual metering: An efficient water disaggregation algorithm via nonintrusive load monitoring
Learning to fuse music genres with generative adversarial dual learning
Multimodal storytelling via generative adversarial imitation learning
Traces: Generating twitter stories via shared subspace and temporal smoothness
Trendi: Tracking stories in news and microblogs via emerging, evolving and fading topics
Storytelling in heterogeneous twitter entity network based on hierarchical cluster routing
Detecting impolite crawler by using time series analysis
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