Search Results for "Zhiqian Chen"

Zhiqian Chen

Zhiqian Chen was a Ph.D. student in the Department of Computer Science.  His advisor was Chang-Tien Lu.   Chen worked at the Spatial Data Management Lab and his research interests include data mining, deep learning, and artificial intelligence. 

DAC Student Spotlight: Zhiqian “Danny” Chen

Generating new music inspired by existing music datasets is a major area of interest for Zhiqian “Danny” Chen, a Ph.D. student at the Discovery Analytics Center. “Music, with its complex hierarchical and sequential structure and its inherent emotional and aesthetic subjectivity, is an intriguing research subject at the core of human creativity,” said Chen. “And […]

Towards More Accurate Uncertainty Estimation In Text Classification

Jianfeng He, Xuchao Zhang, Shuo Lei, Zhiqian Chen, Fanglan Chen, Abdulaziz Alhamadani, Bei Xiao, Chang-Tien Lu: Towards More Accurate Uncertainty Estimation In Text Classification. EMNLP (1) 2020: 8362-8372

Estimating the Circuit De-obfuscation Runtime based on Graph Deep Learning

Zhiqian Chen, Gaurav Kolhe, Setareh Rafatirad, Chang-Tien Lu, Sai Manoj P. D., Houman Homayoun, Liang Zhao: Estimating the Circuit De-obfuscation Runtime based on Graph Deep Learning. DATE 2020: 358-363

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

Dynamic Multi-Context Attention Networks for Citation Forecasting of Scientific Publications

Taoran Ji, Nathan Self, Kaiqun Fu, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu: Dynamic Multi-Context Attention Networks for Citation Forecasting of Scientific Publications. AAAI 2021: 7953-7960

REGAL: A Regionalization framework for school boundaries

Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Andreea Sistrunk, Nathan Self, Chang-Tien Lu, Naren Ramakrishnan: REGAL: A Regionalization framework for school boundaries. SIGSPATIAL/GIS 2019: 544-547

StreetNet: preference learning with convolutional neural network on urban crime perception

Kaiqun Fu, Zhiqian Chen, Chang-Tien Lu: StreetNet: preference learning with convolutional neural network on urban crime perception.SIGSPATIAL/GIS 2018: 269-278