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Journal Articles
- 2024
[j19]Zhitong Ran
, Zi-Qiang Zhu, Zhiqian Chen, Matthew Younkins, Philippe Farah:
Novel System-Level Driving-Cycle-Oriented Design Co-Optimization of Electrical Machines for Electrical Vehicles. IEEE Access 12: 131734-131749 (2024)- [j18]Meng Li, Wenjing Li, Zhiqian Chen, Junfei Qiao:
An adaptive evolutionary modular neural network with intermodule connections. Appl. Intell. 54(5): 4121-4139 (2024) - [j17]Wenjing Li, Yonglei Liu, Zhiqian Chen:
Design of a bi-level PSO based modular neural network for multi-step time series prediction. Appl. Intell. 54(17-18): 8612-8633 (2024) - [j16]Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Lingfei Wu, Charu Aggarwal, Chang-Tien Lu:
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks. ACM Comput. Surv. 56(5): 126:1-126:42 (2024) - [j15]Kollin Napier, Tanmay Bhowmik, Zhiqian Chen:
Explaining poor performance of text-based machine learning models for vulnerability detection. Empir. Softw. Eng. 29(5): 113 (2024) - [j14]Jinpeng Mi, Shaofei Jin, Zhiqian Chen, Dan Liu, Xian Wei, Jianwei Zhang:
Zero-shot visual grounding via coarse-to-fine representation learning. Neurocomputing 610: 128621 (2024) - [j13]Taoran Ji, Nathan Self, Kaiqun Fu, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu:
Citation Forecasting with Multi-Context Attention-Aided Dependency Modeling. ACM Trans. Knowl. Discov. Data 18(6): 144:1-144:23 (2024) - 2023
- [j12]Amirreza Payandeh, Kourosh Teimouri Baghaei, Pooya Fayyazsanavi, Somayeh Bakhtiari Ramezani, Zhiqian Chen, Shahram Rahimi:
Deep Representation Learning: Fundamentals, Technologies, Applications, and Open Challenges. IEEE Access 11: 137621-137659 (2023) - [j11]Lei Zhang, Zhiqian Chen, Chang-Tien Lu, Liang Zhao:
Fast and adaptive dynamics-on-graphs to dynamics-of-graphs translation. Frontiers Big Data 6 (2023) - [j10]Jie Yang, Yan Ou, Zhiqian Chen, Juan Liao, Wenjian Sun, Yang Luo, Chunbo Luo:
A Benchmark Dataset of Endoscopic Images and Novel Deep Learning Method to Detect Intestinal Metaplasia and Gastritis Atrophy. IEEE J. Biomed. Health Informatics 27(1): 7-16 (2023) - [j9]Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Chang-Tien Lu, Naren Ramakrishnan:
Memetic Algorithms for Spatial Partitioning Problems. ACM Trans. Spatial Algorithms Syst. 9(1): 5:1-5:31 (2023) - 2021
- [j8]Guoming Li, Xue Hui, Zhiqian Chen, Gray D. Chesser Jr., Yang Zhao:
Development and evaluation of a method to detect broilers continuously walking around feeder as an indication of restricted feeding behaviors. Comput. Electron. Agric. 181: 105982 (2021) - [j7]Zhiqian Chen, Lei Zhang, Gaurav Kolhe, Hadi Mardani Kamali, Setareh Rafatirad, Sai Manoj Pudukotai Dinakarrao, Houman Homayoun, Chang-Tien Lu, Liang Zhao:
Deep Graph Learning for Circuit Deobfuscation. Frontiers Big Data 4: 608286 (2021) - [j6]Guoming Li, Yanbo Huang, Zhiqian Chen, Gray D. Chesser Jr., Joseph L. Purswell, John Linhoss, Yang Zhao:
Practices and Applications of Convolutional Neural Network-Based Computer Vision Systems in Animal Farming: A Review. Sensors 21(4): 1492 (2021) - 2018
- [j5]Manu Shukla, Zhiqian Chen, Chang-Tien Lu:
DIMPL: a distributed in-memory drone flight path builder system. J. Big Data 5: 24 (2018) - [j4]Bingsheng Wang, Zhiqian Chen, Arnold P. Boedihardjo, Chang-Tien Lu:
Virtual Metering: An Efficient Water Disaggregation Algorithm via Nonintrusive Load Monitoring. ACM Trans. Intell. Syst. Technol. 9(4): 39:1-39:30 (2018) - 2014
- [j3]Qiaoling Tong, Qiao Zhang, Run Min, Xuecheng Zou, Zhenglin Liu, Zhiqian Chen:
Sensorless Predictive Peak Current Control for Boost Converter Using Comprehensive Compensation Strategy. IEEE Trans. Ind. Electron. 61(6): 2754-2766 (2014) - 2003
- [j2]Zhiqian Chen, Mutuwo Tomita, Shinji Doki, Shigeru Okuma:
An extended electromotive force model for sensorless control of interior permanent-magnet synchronous motors. IEEE Trans. Ind. Electron. 50(2): 288-295 (2003) - 2000
- [j1]Zhiqian Chen, Mutuwo Tomita, Shinji Doki, Shigeru Okuma:
New adaptive sliding observers for position- and velocity-sensorless controls of brushless DC motors. IEEE Trans. Ind. Electron. 47(3): 582-591 (2000)
Conference and Workshop Papers
- 2024
- [c35]Zirui Yuan, Minglai Shao, Zhiqian Chen:
Graph Bayesian Optimization for Multiplex Influence Maximization. AAAI 2024: 22475-22483 - [c34]Zonghan Zhang, Zijian Zhang, Zhiqian Chen:
Multiple-Source Localization from a Single-Snapshot Observation Using Graph Bayesian Optimization. AAAI 2024: 22538-22546 - [c33]Zhiqian Chen, Lei Zhang, Liang Zhao:
Unifying Spectral and Spatial Graph Neural Networks. CIKM 2024: 5511-5513 - [c32]Yaya Zhao, Kaiqi Zhao, Zhiqian Chen, Yuanyuan Zhang, Yalei Du, Xiaoling Lu:
A Graph-based Representation Framework for Trajectory Recovery via Spatiotemporal Interval-Informed Seq2Seq. IJCAI 2024: 2588-2597 - [c31]Rui Shang, Siji Chen, Zhiqian Chen, Chang-Tien Lu:
GraphNILM: A Graph Neural Network for Energy Disaggregation. PAKDD (2) 2024: 431-443 - [c30]Nisha Pillai, Ganga Gireesan, Michael J. Rothrock, Bindu Nanduri, Zhiqian Chen, Mahalingam Ramkumar:
Towards Interpreting Multi-Objective Feature Associations. SysCon 2024: 1-8 - 2023
- [c29]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 - [c28]Nisha Pillai, Bindu Nanduri, Michael J. Rothrock, Zhiqian Chen, Mahalingam Ramkumar:
Towards Optimal Microbiome to Inhibit Multidrug Resistance. CIBCB 2023: 1-9 - [c27]Lei Zhang, Qisheng Zhang, Zhiqian Chen, Yanshen Sun, Chang-Tien Lu, Liang Zhao:
Infinitely Deep Graph Transformation Networks. ICDM 2023: 778-787 - [c26]Jinpeng Mi, Zhiqian Chen, Jianwei Zhang:
Weakly Supervised Referring Expression Grounding via Dynamic Self-Knowledge Distillation. IROS 2023: 1254-1260 - [c25]Zonghan Zhang, Zhiqian Chen:
Understanding Influence Maximization via Higher-Order Decomposition. SDM 2023: 766-774 - 2022
- [c24]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 (Student Abstract). AAAI 2022: 13015-13016 - [c23]Jason Wang, Kaiqun Fu, Zhiqian Chen, Chang-Tien Lu:
Augmentation of Chinese Character Representations with Compositional Graph Learning (Student Abstract). AAAI 2022: 13075-13076 - [c22]Lei Zhang, Zhiqian Chen, Chang-Tien Lu, Liang Zhao:
From "Dynamics on Graphs" to "Dynamics of Graphs": An Adaptive Echo-State Network Solution (Student Abstract). AAAI 2022: 13111-13112 - [c21]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). AAAI 2022: 13115-13116 - 2021
- [c20]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 - [c19]Padmaksha Roy, Shailik Sarkar, Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu:
Deep diffusion-based forecasting of COVID-19 by incorporating network-level mobility information. ASONAM 2021: 168-175 - [c18]Kaiqun Fu, Taoran Ji, Nathan Self, Zhiqian Chen, Chang-Tien Lu:
A Hierarchical Attention Graph Convolutional Network for Traffic Incident Impact Forecasting. IEEE BigData 2021: 1619-1624 - [c17]Yanan Zheng, Haonan Hu, Zhiqian Chen, Bo Yin, Jie Zhang:
On the Mean Local Delay of Clustered Fog Radio Access Networks. PIMRC 2021: 354-359 - 2020
- [c16]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 - [c15]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 - [c14]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 - [c13]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 - [c12]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 - 2019
- [c11]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 - [c10]Taoran Ji, Zhiqian Chen, Nathan Self, Kaiqun Fu, Chang-Tien Lu, Naren Ramakrishnan:
Patent Citation Dynamics Modeling via Multi-Attention Recurrent Networks. IJCAI 2019: 2621-2627 - 2018
- [c9]Kaiqun Fu, Zhiqian Chen, Chang-Tien Lu:
StreetNet: preference learning with convolutional neural network on urban crime perception. SIGSPATIAL/GIS 2018: 269-278 - [c8]Zhiqian Chen, Feng Chen, Rongjie Lai, Xuchao Zhang, Chang-Tien Lu:
Rational Neural Networks for Approximating Graph Convolution Operator on Jump Discontinuities. ICDM 2018: 59-68 - [c7]Xuchao Zhang, Liang Zhao, Zhiqian Chen, Chang-Tien Lu:
Distributed Self-Paced Learning in Alternating Direction Method of Multipliers. IJCAI 2018: 3148-3154 - 2017
- [c6]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 - [c5]Xuchao Zhang, Zhiqian Chen, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu:
TRACES: Generating Twitter stories via shared subspace and temporal smoothness. IEEE BigData 2017: 1688-1693 - [c4]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 - [c3]Zhiqian Chen, Xuchao Zhang, Arnold P. Boedihardjo, Jing Dai, Chang-Tien Lu:
Multimodal Storytelling via Generative Adversarial Imitation Learning. IJCAI 2017: 3967-3973 - 2016
- [c2]Xuchao Zhang, Zhiqian Chen, Weisheng Zhong, Arnold P. Boedihardjo, Chang-Tien Lu:
Storytelling in heterogeneous Twitter entity network based on hierarchical cluster routing. IEEE BigData 2016: 1522-1531 - 2013
- [c1]Zhiqian Chen, Wenya Feng:
Detecting Impolite Crawler by Using Time Series Analysis. ICTAI 2013: 123-126
Informal and Other Publications
- 2024
- [i21]Ganga Gireesan, Nisha Pillai, Michael J. Rothrock, Bindu Nanduri, Zhiqian Chen, Mahalingam Ramkumar:
Deep Sensitivity Analysis for Objective-Oriented Combinatorial Optimization. CoRR abs/2403.00016 (2024) - [i20]Nisha Pillai, Ganga Gireesan, Michael J. Rothrock Jr., Bindu Nanduri, Zhiqian Chen, Mahalingam Ramkumar:
Towards Interpreting Multi-Objective Feature Associations. CoRR abs/2403.00017 (2024) - [i19]Zonghan Zhang, Zijian Zhang, Zhiqian Chen:
Multiple-Source Localization from a Single-Snapshot Observation Using Graph Bayesian Optimization. CoRR abs/2403.16818 (2024) - [i18]Zirui Yuan, Minglai Shao, Zhiqian Chen:
Graph Bayesian Optimization for Multiplex Influence Maximization. CoRR abs/2403.18866 (2024) - [i17]Nisha Pillai, Bindu Nanduri, Michael J. Rothrock Jr., Zhiqian Chen, Mahalingam Ramkumar:
Bayesian-Guided Generation of Synthetic Microbiomes with Minimized Pathogenicity. CoRR abs/2405.00070 (2024) - [i16]Lei Zhang, Zhiqian Chen, Chang-Tien Lu, Liang Zhao:
Network Interdiction Goes Neural. CoRR abs/2405.16409 (2024) - 2023
- [i15]Zijian Zhang, Zonghan Zhang, Zhiqian Chen:
XFlow: Benchmarking Flow Behaviors over Graphs. CoRR abs/2308.03819 (2023) - 2022
- [i14]Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Chang-Tien Lu, Naren Ramakrishnan:
Sampling-based techniques for designing school boundaries. CoRR abs/2206.03703 (2022) - [i13]Zonghan Zhang, Zhiqian Chen:
Explain Influence Maximization with Sobol Indices. CoRR abs/2207.07833 (2022) - [i12]Zhiqian Chen, Zonghan Zhang:
Demystifying Graph Convolution with a Simple Concatenation. CoRR abs/2207.12931 (2022) - [i11]Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Chang-Tien Lu, Naren Ramakrishnan:
Memetic algorithms for Spatial Partitioning problems. CoRR abs/2208.02867 (2022) - [i10]Kourosh Teimouri Baghaei, Amirreza Payandeh, Pooya Fayyazsanavi, Shahram Rahimi, Zhiqian Chen, Somayeh Bakhtiari Ramezani:
Deep representation learning: Fundamentals, Perspectives, Applications, and Open Challenges. CoRR abs/2211.14732 (2022) - 2021
- [i9]Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Lingfei Wu, Charu C. Aggarwal, Chang-Tien Lu:
Bridging the Gap between Spatial and Spectral Domains: A Theoretical Framework for Graph Neural Networks. CoRR abs/2107.10234 (2021) - [i8]Padmaksha Roy, Shailik Sarkar, Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu:
Deep diffusion-based forecasting of COVID-19 by incorporating network-level mobility information. CoRR abs/2111.05199 (2021) - 2020
- [i7]Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Chang-Tien Lu:
Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks. CoRR abs/2002.11867 (2020) - 2019
- [i6]Zhiqian Chen, Gaurav Kolhe, Setareh Rafatirad, Sai Manoj P. D., Houman Homayoun, Liang Zhao, Chang-Tien Lu:
Estimating the Circuit Deobfuscating Runtime based on Graph Deep Learning. CoRR abs/1902.05357 (2019) - [i5]Taoran Ji, Zhiqian Chen, Nathan Self, Kaiqun Fu, Chang-Tien Lu, Naren Ramakrishnan:
Patent Citation Dynamics Modeling via Multi-Attention Recurrent Networks. CoRR abs/1905.10022 (2019) - 2018
- [i4]Xuchao Zhang, Liang Zhao, Zhiqian Chen, Chang-Tien Lu:
Distributed Self-Paced Learning in Alternating Direction Method of Multipliers. CoRR abs/1807.02234 (2018) - [i3]Zhiqian Chen, Feng Chen, Rongjie Lai, Xuchao Zhang, Chang-Tien Lu:
Rational Neural Networks for Approximating Jump Discontinuities of Graph Convolution Operator. CoRR abs/1808.10073 (2018) - 2017
- [i2]Zhiqian Chen, Xuchao Zhang, Arnold P. Boedihardjo, Jing Dai, Chang-Tien Lu:
Multimodal Storytelling via Generative Adversarial Imitation Learning. CoRR abs/1712.01455 (2017) - [i1]Zhiqian Chen, Chih-Wei Wu, Yen-Cheng Lu, Alexander Lerch, Chang-Tien Lu:
Learning to Fuse Music Genres with Generative Adversarial Dual Learning. CoRR abs/1712.01456 (2017)
Coauthor Index
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