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Zhiqian Chen
General Item
Learning to Fuse Music Genres with Generative Adversarial Dual Learning
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Storytelling in heterogeneous Twitter entity network based on hierarchical cluster routing
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Multimodal Storytelling via Generative Adversarial Imitation Learning
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Estimating the Circuit Deobfuscating Runtime based on Graph Deep Learning
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Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks
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Deep Graph Learning for Circuit Deobfuscation
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Dynamic Multi-Context Attention Networks for Citation Forecasting of Scientific Publications
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TRACES: Generating Twitter stories via shared subspace and temporal smoothness
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Trendi: Tracking stories in news and microblogs via emerging, evolving and fading topics
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Memetic Algorithms for Spatial Partitioning Problems
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Exploring Tradeoffs in Automated School Redistricting: Computational and Ethical Perspectives
Article Item
DAC Student Spotlight: Zhiqian “Danny” Chen
, article
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Virtual Metering: An Efficient Water Disaggregation Algorithm via Nonintrusive Load Monitoring
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DIMPL: a distributed in-memory drone flight path builder system
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StreetNet: preference learning with convolutional neural network on urban crime perception
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Rational Neural Networks for Approximating Jump Discontinuities of Graph Convolution Operator
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Patent Citation Dynamics Modeling via Multi-Attention Recurrent Networks
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REGAL: A Regionalization framework for school boundaries
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Incorporating domain knowledge into Memetic Algorithms for solving Spatial Optimization problems
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Geospatial Clustering for Balanced and Proximal Schools
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Graph Convolutional Networks with Kalman Filtering for Traffic Prediction
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Estimating the Circuit De-obfuscation Runtime based on Graph Deep Learning
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Augmentation of Chinese Character Representations with Compositional Graph Learning
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From "Dynamics on Graphs" to "Dynamics of Graphs": An Adaptive Echo-State Network Solution
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Early Forecast of Traffic Accident Impact Based on a Single-Snapshot Observation
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Blocking Influence at Collective Level with Hard Constraints
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Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks
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Deep diffusion-based forecasting of COVID-19 by incorporating network-level mobility information
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Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks
Article Item
DAC has strong presence at ICDM 2017
, article
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Congratulations to DAC’s 2020 Spring and Summer Graduates!
, article
Bio Item
Zhiqian Chen
, bio