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.
Search Results for "Zhiqian Chen"
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 […]
Blocking Influence at Collective Level with Hard Constraints
Zonghan Zhang, Subhodip Biswas, Fanglan Chen, Kaiqun Fu, Taoran Ji, Chang-Tien Lu, Naren Ramakrishnan, Zhiqian Chen:Blocking Influence at Collective Level with Hard Constraints (Student Abstract). AAAI2022: 13115-13116
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