Publications

Taoran Ji, Nathan Self, Kaiqun Fu, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu (2024). Citation Forecasting with Multi-Context Attention-Aided Dependency Modeling. ACM Transactions on Knowledge Discovery from Data.

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Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Lingfei Wu, Charu Aggarwal, Chang-Tien Lu (2023). Bridging the gap between spatial and spectral domains: A unified framework for graph neural networks. ACM Computing Surveys.

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Zijian Zhang, Zonghan Zhang, Zhiqian Chen (2023). XFlow: Benchmarking Flow Behaviors over Graphs. arXiv preprint arXiv:2308.03819.

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Zonghan Zhang, Zhiqian Chen (2023). Understanding Influence Maximization via Higher-Order Decomposition. Proceedings of the 2023 SIAM International Conference on Data Mining (SDM).

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Nisha Pillai, Bindu Nanduri, Michael J Rothrock, Zhiqian Chen, Mahalingam Ramkumar (2023). Towards optimal microbiome to inhibit multidrug resistance. 2023 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB).

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Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Chang-Tien Lu, Naren Ramakrishnan (2023). Memetic algorithms for Spatial Partitioning problems. ACM Transactions on Spatial Algorithms and Systems.

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Lei Zhang, Qisheng Zhang, Zhiqian Chen, Yanshen Sun, Chang-Tien Lu, Liang Zhao (2023). Infinitely Deep Graph Transformation Networks. 2023 IEEE International Conference on Data Mining (ICDM).

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Lei Zhang, Zhiqian Chen, Chang-Tien Lu, Liang Zhao (2023). Fast and adaptive dynamics-on-graphs to dynamics-of-graphs translation. Frontiers in big Data.

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Fanglan Chen, Subhodip Biswas, Zhiqian Chen, Shuo Lei, Naren Ramakrishnan, Chang-Tien Lu (2023). Exploring Tradeoffs in Automated School Redistricting: Computational and Ethical Perspectives. Proceedings of the AAAI Conference on Artificial Intelligence.

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Kourosh T Baghaei, Amirreza Payandeh, Pooya Fayyazsanavi, Zhiqian Chen, Somayeh Bakhtiari Ramezani, Shahram Rahimi (2023). Deep Representation Learning: Fundamentals, Technologies, Applications, and Open Challenges. IEEE Access.

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Zonghan Zhang, Zhiqian Chen (2023). Accelerating Simulation-Based Influence Maximization via Bayesian Optimization.

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Setareh Rafatirad, Houman Homayoun, Zhiqian Chen, Sai Manoj Pudukotai Dinakarrao (2022). Unsupervised Learning. Machine Learning for Computer Scientists and Data Analysts: From an Applied Perspective.

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Setareh Rafatirad, Houman Homayoun, Zhiqian Chen, Sai Manoj Pudukotai Dinakarrao (2022). Transfer Learning in Mobile Health. Machine Learning for Computer Scientists and Data Analysts: From an Applied Perspective.

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Setareh Rafatirad, Houman Homayoun, Zhiqian Chen, Sai Manoj Pudukotai Dinakarrao (2022). Supervised Learning. Machine Learning for Computer Scientists and Data Analysts: From an Applied Perspective.

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Setareh Rafatirad, Houman Homayoun, Zhiqian Chen, Sai Manoj Pudukotai Dinakarrao (2022). SensorNet: An Educational Neural Network Framework for Low-Power Multimodal Data Classification. Machine Learning for Computer Scientists and Data Analysts: From an Applied Perspective.

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Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Chang-Tien Lu, Naren Ramakrishnan (2022). Sampling-based techniques for designing school boundaries. arXiv preprint arXiv:2206.03703.

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Setareh Rafatirad, Houman Homayoun, Zhiqian Chen, Sai Manoj Pudukotai Dinakarrao (2022). Reinforcement Learning. Machine Learning for Computer Scientists and Data Analysts: From an Applied Perspective.

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Setareh Rafatirad, Houman Homayoun, Zhiqian Chen, Sai Manoj Pudukotai Dinakarrao (2022). Recommender Learning. Machine Learning for Computer Scientists and Data Analysts: From an Applied Perspective.

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Setareh Rafatirad, Houman Homayoun, Zhiqian Chen, Sai Manoj Pudukotai Dinakarrao (2022). Online Learning. Machine Learning for Computer Scientists and Data Analysts: From an Applied Perspective.

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Setareh Rafatirad, Houman Homayoun, Zhiqian Chen, Sai Manoj Pudukotai Dinakarrao (2022). Machine Learning for Computer Scientists and Data Analysts: From an Applied Perspective. Springer.

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Setareh Rafatirad, Houman Homayoun, Zhiqian Chen, Sai Manoj Pudukotai Dinakarrao (2022). Graph learning. Machine Learning for Computer Scientists and Data Analysts: From an Applied Perspective.

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Lei Zhang, Zhiqian Chen, Chang-Tien Lu, Liang Zhao (2022). From “Dynamics on Graphs” to “Dynamics of Graphs”: An Adaptive Echo-State Network Solution (Student Abstract). Proceedings of the AAAI Conference on Artificial Intelligence.

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Guangyu Meng, Qisheng Jiang, Kaiqun Fu, Beiyu Lin, Chang-Tien Lu, Zhqian Chen (2022). Early forecasting of the impact of traffic accidents using a single shot observation. Proceedings of the 2022 SIAM International Conference on Data Mining (SDM).

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Zhiqian Chen, Zonghan Zhang (2022). Demystifying Graph Convolution with a Simple Concatenation. arXiv preprint arXiv:2207.12931.

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Zonghan Zhang, Subhodip Biswas, Fanglan Chen, Kaiqun Fu, Taoran Ji, Chang-Tien Lu, Naren Ramakrishnan, Zhiqian Chen (2022). Blocking Influence at Collective Level with Hard Constraints (Student Abstract). Proceedings of the AAAI Conference on Artificial Intelligence.

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Jason Wang, Kaiqun Fu, Zhiqian Chen, Chang-Tien Lu (2022). Augmentation of Chinese Character Representations with Compositional Graph Learning (Student Abstract). Proceedings of the AAAI Conference on Artificial Intelligence.

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Setareh Rafatirad, Houman Homayoun, Zhiqian Chen, Sai Manoj Pudukotai Dinakarrao (2022). Applied Machine Learning for Cloud Resource Management. Machine Learning for Computer Scientists and Data Analysts: From an Applied Perspective.

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Setareh Rafatirad, Houman Homayoun, Zhiqian Chen, Sai Manoj Pudukotai Dinakarrao (2022). Adversarial Machine Learning. Machine Learning for Computer Scientists and Data Analysts: From an Applied Perspective.

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Setareh Rafatirad, Houman Homayoun, Zhiqian Chen, Sai Manoj Pudukotai Dinakarrao (2022). A Brief Review of Probability Theory and Linear Algebra. Machine Learning for Computer Scientists and Data Analysts: From an Applied Perspective.

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Beiyu Lin, Xiaowei Jia, Zhiqian Chen (2021). SDM 21 Tutorial: Studying Spread Patterns of COVID-19 based on Spatiotemporal Data. SIAM Data Mining 2021.

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Guoming Li, Yanbo Huang, Zhiqian Chen, Gary D Chesser Jr, Joseph L Purswell, John Linhoss, Yang Zhao (2021). Practices and applications of convolutional neural network-based computer vision systems in animal farming: A review. Sensors.

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Taoran Ji, Nathan Self, Kaiqun Fu, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu (2021). Dynamic Multi-Context Attention Networks for Citation Forecasting of Scientific Publications. Proceedings of the AAAI Conference on Artificial Intelligence.

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Guoming Li, Xue Hui, Zhiqian Chen, Gary D Chesser Jr, Yang Zhao (2021). Development and evaluation of a method to detect broilers continuously walking around feeder as an indication of restricted feeding behaviors. Computers and electronics in agriculture.

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Zhiqian Chen, Lei Zhang, Gaurav Kolhe, Hadi Mardani Kamali, Setareh Rafatirad, Sai Manoj Pudukotai Dinakarrao, Houman Homayoun, Chang-Tien Lu, Liang Zhao (2021). Deep graph learning for circuit deobfuscation. Frontiers in big Data.

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Padmaksha Roy, Shailik Sarkar, Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu (2021). Deep diffusion-based forecasting of COVID-19 by incorporating network-level mobility information. Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining.

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Kaiqun Fu, Taoran Ji, Nathan Self, Zhiqian Chen, Chang-Tien Lu (2021). A hierarchical attention graph convolutional network for traffic incident impact forecasting. 2021 IEEE International Conference on Big Data (Big Data).

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Jianfeng He, Xuchao Zhang, Shuo Lei, Zhiqian Chen, Fanglan Chen, Abdulaziz Alhamadani, Bei Xiao, ChangTien Lu (2020). Towards more accurate uncertainty estimation in text classification. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP).

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Zhao Ding, Zhiqian Chen, Tianyi Ma, Chang-Tien Lu, Wenhui Ma, Leon Shaw (2020). Predicting the hydrogen release ability of LiBH4-based mixtures by ensemble machine learning. Energy Storage Materials.

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Zhao Ding, Shaoyuan Li, Yang Zhou, Zhiqian Chen, Weijie Yang, Wenhui Ma, Leon Shaw (2020). LiBH4 for hydrogen storage-new perspectives. Nano Materials Science.

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Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Chang-Tien Lu, Naren Ramakrishnan (2020). Incorporating domain knowledge into Memetic Algorithms for solving Spatial Optimization problems. Proceedings of the 28th International Conference on Advances in Geographic Information Systems.

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Fanglan Chen, Zhiqian Chen, Subhodip Biswas, Shuo Lei, Naren Ramakrishnan, Chang-Tien Lu (2020). Graph convolutional networks with kalman filtering for traffic prediction. Proceedings of the 28th international conference on advances in geographic information systems.

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Subhodip Biswas, Fanglan Chen, Andreea Sistrunk, Sathappan Muthiah, Zhiqian Chen, Nathan Self, Chang-Tien Lu, Naren Ramakrishnan (2020). Geospatial clustering for balanced and proximal schools. Proceedings of the AAAI Conference on Artificial Intelligence.

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Zhiqian Chen, Gaurav Kolhe, Setareh Rafatirad, Chang-Tien Lu, Sai Manoj PD, Houman Homayoun, Liang Zhao (2020). Estimating the circuit de-obfuscation runtime based on graph deep learning. 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE).

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Ying Zhang, Xingfeng He, Zhiqian Chen, Qiang Bai, Adelaide M Nolan, Charles a Roberts, Debasish Banerjee, Tomoya Matsunaga, Yifei Mo, Chen Ling (2019). Unsupervised discovery of solid-state lithium ion conductors. Nature communications.

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Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Andreea Sistrunk, Nathan Self, Chang-Tien Lu, Naren Ramakrishnan (2019). REGAL: A Regionalization framework for school boundaries. Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems.

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Taoran Ji, Zhiqian Chen, Nathan Self, Kaiqun Fu, Chang-Tien Lu, Naren Ramakrishnan (2019). Patent citation dynamics modeling via multi-attention recurrent networks. Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence (IJCAI-19).

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Bingsheng Wang, Zhiqian Chen, Arnold P Boedihardjo, Chang-Tien Lu (2018). Virtual metering: An efficient water disaggregation algorithm via nonintrusive load monitoring. ACM Transactions on Intelligent Systems and Technology (TIST).

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Kaiqun Fu, Zhiqian Chen, Chang-Tien Lu (2018). Streetnet: preference learning with convolutional neural network on urban crime perception. Proceedings of the 26th ACM SIGSPATIAL international conference on advances in geographic information systems.

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Zhiqian Chen, Feng Chen, Rongjie Lai, Xuchao Zhang, Chang-Tien Lu (2018). Rational neural networks for approximating graph convolution operator on jump discontinuities. 2018 IEEE International Conference on Data Mining (ICDM).

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Xuchao Zhang, Liang Zhao, Zhiqian Chen, Chang-Tien Lu (2018). Distributed self-paced learning in alternating direction method of multipliers. arXiv preprint arXiv:1807.02234.

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Manu Shukla, Zhiqian Chen, Chang-Tien Lu (2018). DIMPL: a distributed in-memory drone flight path builder system. Journal of Big Data.

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Xuchao Zhang, Liang Zhao, Zhiqian Chen, Arnold P Boedihardjo, Jing Dai, Chang-Tien Lu (2017). Trendi: Tracking stories in news and microblogs via emerging, evolving and fading topics. 2017 IEEE International Conference on Big Data (Big Data).

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Xuchao Zhang, Zhiqian Chen, Liang Zhao, Arnold P Boedihardjo, Chang-Tien Lu (2017). Traces: Generating twitter stories via shared subspace and temporal smoothness. 2017 IEEE International Conference on Big Data (Big Data).

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Zhiqian Chen, Xuchao Zhang, Arnold P Boedihardjo, Jing Dai, Chang-Tien Lu (2017). Multimodal storytelling via generative adversarial imitation learning. Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-17).

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Zhiqian Chen, Chih-Wei Wu, Yen-Cheng Lu, Alexander Lerch, Chang-Tien Lu (2017). Learning to fuse music genres with generative adversarial dual learning. 2017 IEEE International Conference on Data Mining (ICDM).

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Xuchao Zhang, Zhiqian Chen, Weisheng Zhong, Arnold P Boedihardjo, Chang-Tien Lu (2016). Storytelling in heterogeneous twitter entity network based on hierarchical cluster routing. 2016 IEEE International Conference on Big Data (Big Data).

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Manu Shukla, Ziqian Chen, Chang-Tien Lu (2015). DIFPL: Distributed Drone Flight Path Builder System. 2015 1st International Conference on Geographical Information Systems Theory, Applications and Management (GISTAM).

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Zhiqian Chen, Wenya Feng (2013). Detecting impolite crawler by using time series analysis. 2013 IEEE 25th International Conference on Tools with Artificial Intelligence.

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