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 […]
From “Dynamics on Graphs” to “Dynamics of Graphs”: An Adaptive Echo-State Network Solution
Lei Zhang, Zhiqian Chen, Chang-Tien Lu, Liang Zhao: From “Dynamics on Graphs” to “Dynamics of Graphs”: An Adaptive Echo-State Network Solution, AAAI 2022: 13111-13112
Augmentation of Chinese Character Representations with Compositional Graph Learning
Jason Wang, Kaiqun Fu, Zhiqian Chen, Chang-Tien Lu: Augmentation of Chinese Character Representations with Compositional Graph Learning, AAAI 2022: 13075-13076
Early Forecast of Traffic Accident Impact Based on a Single-Snapshot Observation
Guangyu Meng, Qisheng Jiang, Kaiqun Fu, Beiyu Lin, Chang-Tien Lu, Zhiqian Chen: Early Forecast of Traffic Accident Impact Based on a Single-Snapshot Observation, AAAI 2022: 13015-13016
Exploring Tradeoffs in Automated School Redistricting: Computational and Ethical Perspectives
Fanglan Chen, Subhodip Biswas, Zhiqian Chen, Shuo Lei, Naren Ramakrishnan, Chang-Tien Lu: Exploring Tradeoffs in Automated School Redistricting: Computational and Ethical Perspectives. AAAI 2023: 15912-15920
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