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STAN: Synthetic Network Traffic Generation using Autoregressive Neural Models

PhyNet: Physics Guided Neural Networks for Particle Drag Force Prediction in Assembly

Nikhil Muralidhar, Jie Bu, Ze Cao, Long He, Naren Ramakrishnan, Danesh K. Tafti, Anuj Karpatne: PhyNet: Physics Guided Neural Networks for Particle Drag Force Prediction in Assembly. SDM 2020: 559-567

Detecting Media Self-Censorship without Explicit Training Data

Rongrong Tao, Baojian Zhou, Feng Chen, David Mares, Patrick Butler, Naren Ramakrishnan, Ryan Kennedy:Detecting Media Self-Censorship without Explicit Training Data. SDM 2020: 550-558

Graph Convolutional Networks with Kalman Filtering for Traffic Prediction

Fanglan Chen, Zhiqian Chen, Subhodip Biswas, Shuo Lei, Naren Ramakrishnan, Chang-Tien Lu: Graph Convolutional Networks with Kalman Filtering for Traffic Prediction. SIGSPATIAL/GIS 2020: 135-138

Incorporating domain knowledge into Memetic Algorithms for solving Spatial Optimization problems

Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Chang-Tien Lu, Naren Ramakrishnan: Incorporating domain knowledge into Memetic Algorithms for solving Spatial Optimization problems. SIGSPATIAL/GIS 2020: 25-35

Geospatial Clustering for Balanced and Proximal Schools

Subhodip Biswas, Fanglan Chen, Andreea Sistrunk, Sathappan Muthiah, Zhiqian Chen, Nathan Self, Chang-Tien Lu, Naren Ramakrishnan:Geospatial Clustering for Balanced and Proximal Schools. AAAI 2020: 13358-13365

Detecting Suspicious Timber Trades

Debanjan Datta, Mohammad Raihanul Islam, Nathan Self, Amelia Meadows, John Simeone, Willow Outhwaite, Chen Hin Keong, Amy Smith, Linda Walker, Naren Ramakrishnan: Detecting Suspicious Timber Trades. AAAI 2020: 13248-13254

Deep Reinforcement Learning for Sequence-to-Sequence Models

Cut-n-Reveal: Time Series Segmentations with Explanations

Online flu epidemiological deep modeling on disease contact network