Sumo x PyPSA: Interactive Web Demo of Real-Time Urban Power-Traffic Co-Simulation with Vehicle-to-Grid Marouane Benbrahim, Xin Fang, and Zhiqian Chen
Graph bayesian optimization for multiplex influence maximization Zirui Yuan, Minglai Shao, and Zhiqian Chen
Proceedings of the AAAI Conference on Artificial Intelligence, 2024
code Cross-Network CORE A* Network Interdiction Goes Neural Lei Zhang, Zhiqian Chen, Chang-Tien Lu, and Liang Zhao
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2025 Cross-Network CORE A*
Sobol's Total Indices for Accurate and Scalable Feature Exclusion in High-Dimensional Data Zonghan Zhang and Zhiqian Chen
2025 IEEE International Conference on Big Data (BigData), 2025 UQ CORE B
Graph symbolic regression to interpret the propagation of Vesicular Stomatitis Virus across the US and Mexico T. Rashme, Z. Zhang, J. Weeks, others, and Zhiqian Chen
Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems, 2025 Symbolic CORE A
Multiple-Source Localization from a Single-Snapshot Observation Using Graph Bayesian Optimization Zijian Zhang, Zonghan Zhang, and Zhiqian Chen
Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 20, 2024: 22538–22546
codedoi UQ CORE A* Citation Forecasting with Multi-Context Attention-Aided Dependency Modeling Taoran Ji, Nathan Self, Kaiqun Fu, Zhiqian Chen, Naren Ramakrishnan, and Chang-Tien Lu
ACM Transactions on Knowledge Discovery from Data, 2024 innovation
Explaining poor performance of text-based machine learning models for vulnerability detection K. Napier, T. Bhowmik, and Zhiqian Chen
Empirical Software Engineering, 2024 Software/Hardware
Understanding Influence Maximization via Higher-Order Decomposition Zonghan Zhang and Zhiqian Chen
Proceedings of the 2023 SIAM International Conference on Data Mining (SDM), 2023 UQ CORE A
Bridging the gap between spatial and spectral domains: A unified framework for graph neural networks Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Lingfei Wu, Charu Aggarwal, and Chang-Tien Lu
ACM Computing Surveys, 2023 Spectral Graph
Early forecasting of the impact of traffic accidents using a single shot observation Guangyu Meng, Qisheng Jiang, Kaiqun Fu, Beiyu Lin, Chang-Tien Lu, and Zhqian Chen
Proceedings of the 2022 SIAM International Conference on Data Mining (SDM), 2022 Spatial CORE A
Dynamic Multi-Context Attention Networks for Citation Forecasting of Scientific Publications Taoran Ji, Nathan Self, Kaiqun Fu, Zhiqian Chen, Naren Ramakrishnan, and Chang-Tien Lu
Proceedings of the AAAI Conference on Artificial Intelligence, 2021 innovation CORE A*
Graph convolutional networks with kalman filtering for traffic prediction Fanglan Chen, Zhiqian Chen, Subhodip Biswas, Shuo Lei, Naren Ramakrishnan, and Chang-Tien Lu
Proceedings of the 28th International Conference on Advances in Geographic Information Systems, 2020 Spatial CORE A
Incorporating domain knowledge into memetic algorithms for solving spatial optimization problems Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Chang-Tien Lu, and Naren Ramakrishnan
Proceedings of the 28th International Conference on Advances in Geographic Information Systems, 2020 Spatial Best Paper Award CORE A
Estimating the circuit de-obfuscation runtime based on graph deep learning Zhiqian Chen, Gaurav Kolhe, Setareh Rafatirad, Chang-Tien Lu, Sai Manoj PD, Houman Homayoun, and Liang Zhao
2020 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2020 Software/Hardware CORE A
Unsupervised discovery of solid-state lithium ion conductors Ying Zhang, Xingfeng He, Zhiqian Chen, Qiang Bai, Adelaide M Nolan, Charles A Roberts, Debasish Banerjee, Tomoya Matsunaga, Yifei Mo, and Chen Ling
Nature Communications, 2019 Material Sci. Top 50 Chemistry & Materials Sciences article
Rational neural networks for approximating graph convolution operator on jump discontinuities Zhiqian Chen, Feng Chen, Rongjie Lai, Xuchao Zhang, and Chang-Tien Lu
2018 IEEE International Conference on Data Mining (ICDM), 2018 Spectral Graph CORE A*
Learning to fuse music genres with generative adversarial dual learning Zhiqian Chen, Chih-Wei Wu, Yen-Cheng Lu, Alexander Lerch, and Chang-Tien Lu
2017 IEEE International Conference on Data Mining (ICDM), 2017
code Music CORE A*