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
Search Results for "Zhiqian Chen"
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
Distributed Self-Paced Learning in Alternating Direction Method of Multipliers
Xuchao Zhang, Liang Zhao, Zhiqian Chen, Chang-Tien Lu: Distributed Self-Paced Learning in Alternating Direction Method of Multipliers. IJCAI 2018: 3148-3154
Learning to Fuse Music Genres with Generative Adversarial Dual Learning
Zhiqian Chen, Chih-Wei Wu, Yen-Cheng Lu, Alexander Lerch, Chang-Tien Lu: Learning to Fuse Music Genres with Generative Adversarial Dual Learning. ICDM 2017: 817-822
TRACES: Generating Twitter stories via shared subspace and temporal smoothness
Xuchao Zhang, Zhiqian Chen, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu: TRACES: Generating Twitter stories via shared subspace and temporal smoothness. IEEE BigData2017: 1688-1693
Trendi: Tracking stories in news and microblogs via emerging, evolving and fading topics
Xuchao Zhang, Liang Zhao, Zhiqian Chen, Arnold P. Boedihardjo, Jing Dai, Chang-Tien Lu: Trendi: Tracking stories in news and microblogs via emerging, evolving and fading topics. IEEE BigData 2017: 1590-1599
DAC has strong presence at ICDM 2017
The Discovery Analytics Center was strongly represented at the IEEE International Conference on Data Mining (ICDM) in New Orleans, Nov. 18-21, with a number of accepted research papers by DAC faculty and students and DAC faculty serving on committees and panels.