Zhiqian Chen

According to our database, Zhiqian Chen authored at least 67 papers between 2000 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Explaining poor performance of text-based machine learning models for vulnerability detection.

Kollin Napier, Tanmay Bhowmik, Zhiqian Chen

Empir. Softw. Eng., September, 2024

Design of a bi-level PSO based modular neural network for multi-step time series prediction.

Wenjing Li, Yonglei Liu, Zhiqian Chen

Appl. Intell., September, 2024

Citation Forecasting with Multi-Context Attention-Aided Dependency Modeling.

Taoran Ji, Nathan Self, Kaiqun Fu, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu

ACM Trans. Knowl. Discov. Data, July, 2024

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, Chang-Tien Lu

ACM Comput. Surv., May, 2024

An adaptive evolutionary modular neural network with intermodule connections.

Meng Li, Wenjing Li, Zhiqian Chen, Junfei Qiao

Appl. Intell., March, 2024

Zero-shot visual grounding via coarse-to-fine representation learning.

Jinpeng Mi, Shaofei Jin, Zhiqian Chen, Dan Liu, Xian Wei, Jianwei Zhang

Neurocomputing, 2024

Network Interdiction Goes Neural.

Lei Zhang, Zhiqian Chen, Chang-Tien Lu, Liang Zhao

CoRR, 2024

Bayesian-Guided Generation of Synthetic Microbiomes with Minimized Pathogenicity.

Nisha Pillai, Bindu Nanduri, Michael J. Rothrock Jr., Zhiqian Chen, Mahalingam Ramkumar

CoRR, 2024

Towards Interpreting Multi-Objective Feature Associations.

Nisha Pillai, Ganga Gireesan, Michael J. Rothrock Jr., Bindu Nanduri, Zhiqian Chen, Mahalingam Ramkumar

CoRR, 2024

Deep Sensitivity Analysis for Objective-Oriented Combinatorial Optimization.

Ganga Gireesan, Nisha Pillai, Michael J. Rothrock, Bindu Nanduri, Zhiqian Chen, Mahalingam Ramkumar

CoRR, 2024

Novel System-Level Driving-Cycle-Oriented Design Co-Optimization of Electrical Machines for Electrical Vehicles.

Zhitong Ran, Zi-Qiang Zhu, Zhiqian Chen, Matthew Younkins, Philippe Farah

IEEE Access, 2024

Towards Interpreting Multi-Objective Feature Associations.

Nisha Pillai, Ganga Gireesan, Michael J. Rothrock, Bindu Nanduri, Zhiqian Chen, Mahalingam Ramkumar

Proceedings of the IEEE International Systems Conference, 2024

GraphNILM: A Graph Neural Network for Energy Disaggregation.

Rui Shang, Siji Chen, Zhiqian Chen, Chang-Tien Lu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

A Graph-based Representation Framework for Trajectory Recovery via Spatiotemporal Interval-Informed Seq2Seq.

Yaya Zhao, Kaiqi Zhao, Zhiqian Chen, Yuanyuan Zhang, Yalei Du, Xiaoling Lu

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Unifying Spectral and Spatial Graph Neural Networks.

Zhiqian Chen, Lei Zhang, Liang Zhao

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Multiple-Source Localization from a Single-Snapshot Observation Using Graph Bayesian Optimization.

Zonghan Zhang, Zijian Zhang, Zhiqian Chen

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Graph Bayesian Optimization for Multiplex Influence Maximization.

Zirui Yuan, Minglai Shao, Zhiqian Chen

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Memetic Algorithms for Spatial Partitioning Problems.

Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Chang-Tien Lu, Naren Ramakrishnan

ACM Trans. Spatial Algorithms Syst., March, 2023

Fast and adaptive dynamics-on-graphs to dynamics-of-graphs translation.

Lei Zhang, Zhiqian Chen, Chang-Tien Lu, Liang Zhao

Frontiers Big Data, January, 2023

A Benchmark Dataset of Endoscopic Images and Novel Deep Learning Method to Detect Intestinal Metaplasia and Gastritis Atrophy.

Jie Yang, Yan Ou, Zhiqian Chen, Juan Liao, Wenjian Sun, Yang Luo, Chunbo Luo

IEEE J. Biomed. Health Informatics, 2023

XFlow: Benchmarking Flow Behaviors over Graphs.

Zijian Zhang, Zonghan Zhang, Zhiqian Chen

CoRR, 2023

Deep Representation Learning: Fundamentals, Technologies, Applications, and Open Challenges.

Amirreza Payandeh, Kourosh Teimouri Baghaei, Pooya Fayyazsanavi, Somayeh Bakhtiari Ramezani, Zhiqian Chen, Shahram Rahimi

IEEE Access, 2023

Understanding Influence Maximization via Higher-Order Decomposition.

Zonghan Zhang, Zhiqian Chen

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Weakly Supervised Referring Expression Grounding via Dynamic Self-Knowledge Distillation.

Jinpeng Mi, Zhiqian Chen, Jianwei Zhang

IROS, 2023

Infinitely Deep Graph Transformation Networks.

Lei Zhang, Qisheng Zhang, Zhiqian Chen, Yanshen Sun, Chang-Tien Lu, Liang Zhao

Proceedings of the IEEE International Conference on Data Mining, 2023

Towards Optimal Microbiome to Inhibit Multidrug Resistance.

Nisha Pillai, Bindu Nanduri, Michael J. Rothrock, Zhiqian Chen, Mahalingam Ramkumar

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2023

Exploring Tradeoffs in Automated School Redistricting: Computational and Ethical Perspectives.

Fanglan Chen, Subhodip Biswas, Zhiqian Chen, Shuo Lei, Naren Ramakrishnan, Chang-Tien Lu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Deep representation learning: Fundamentals, Perspectives, Applications, and Open Challenges.

Kourosh Teimouri Baghaei, Amirreza Payandeh, Pooya Fayyazsanavi, Shahram Rahimi, Zhiqian Chen, Somayeh Bakhtiari Ramezani

CoRR, 2022

Demystifying Graph Convolution with a Simple Concatenation.

Zhiqian Chen, Zonghan Zhang

CoRR, 2022

Explain Influence Maximization with Sobol Indices.

Zonghan Zhang, Zhiqian Chen

CoRR, 2022

Sampling-based techniques for designing school boundaries.

Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Chang-Tien Lu, Naren Ramakrishnan

CoRR, 2022

From "Dynamics on Graphs" to "Dynamics of Graphs": An Adaptive Echo-State Network Solution (Student Abstract).

Lei Zhang, Zhiqian Chen, Chang-Tien Lu, Liang Zhao

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Blocking Influence at Collective Level with Hard Constraints (Student Abstract).

Zonghan Zhang, Subhodip Biswas, Fanglan Chen, Kaiqun Fu, Taoran Ji, Chang-Tien Lu, Naren Ramakrishnan, Zhiqian Chen

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Augmentation of Chinese Character Representations with Compositional Graph Learning (Student Abstract).

Jason Wang, Kaiqun Fu, Zhiqian Chen, Chang-Tien Lu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Early Forecast of Traffic Accident Impact Based on a Single-Snapshot Observation (Student Abstract).

Guangyu Meng, Qisheng Jiang, Kaiqun Fu, Beiyu Lin, Chang-Tien Lu, Zhiqian Chen

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Practices and Applications of Convolutional Neural Network-Based Computer Vision Systems in Animal Farming: A Review.

Guoming Li, Yanbo Huang, Zhiqian Chen, Gray D. Chesser Jr., Joseph L. Purswell, John Linhoss, Yang Zhao

Sensors, 2021

Deep Graph Learning for Circuit Deobfuscation.

Zhiqian Chen, Lei Zhang, Gaurav Kolhe, Hadi Mardani Kamali, Setareh Rafatirad, Sai Manoj Pudukotai Dinakarrao, Houman Homayoun, Chang-Tien Lu, Liang Zhao

Frontiers Big Data, 2021

Bridging the Gap between Spatial and Spectral Domains: A Theoretical Framework for Graph Neural Networks.

Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Lingfei Wu, Charu C. Aggarwal, Chang-Tien Lu

CoRR, 2021

Development and evaluation of a method to detect broilers continuously walking around feeder as an indication of restricted feeding behaviors.

Guoming Li, Xue Hui, Zhiqian Chen, Gray D. Chesser Jr., Yang Zhao

Comput. Electron. Agric., 2021

On the Mean Local Delay of Clustered Fog Radio Access Networks.

Yanan Zheng, Haonan Hu, Zhiqian Chen, Bo Yin, Jie Zhang

Proceedings of the 32nd IEEE Annual International Symposium on Personal, 2021

A Hierarchical Attention Graph Convolutional Network for Traffic Incident Impact Forecasting.

Kaiqun Fu, Taoran Ji, Nathan Self, Zhiqian Chen, Chang-Tien Lu

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Deep diffusion-based forecasting of COVID-19 by incorporating network-level mobility information.

Padmaksha Roy, Shailik Sarkar, Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu

Proceedings of the ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining, Virtual Event, The Netherlands, November 8, 2021

Dynamic Multi-Context Attention Networks for Citation Forecasting of Scientific Publications.

Taoran Ji, Nathan Self, Kaiqun Fu, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks.

Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Chang-Tien Lu

CoRR, 2020

Graph Convolutional Networks with Kalman Filtering for Traffic Prediction.

Fanglan Chen, Zhiqian Chen, Subhodip Biswas, Shuo Lei, Naren Ramakrishnan, Chang-Tien Lu

Proceedings of the SIGSPATIAL '20: 28th International Conference on Advances in Geographic Information Systems, 2020

Incorporating domain knowledge into Memetic Algorithms for solving Spatial Optimization problems.

Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Chang-Tien Lu, Naren Ramakrishnan

Proceedings of the SIGSPATIAL '20: 28th International Conference on Advances in Geographic Information Systems, 2020

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

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

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

Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

Geospatial Clustering for Balanced and Proximal Schools.

Subhodip Biswas, Fanglan Chen, Andreea Sistrunk, Sathappan Muthiah, Zhiqian Chen, Nathan Self, Chang-Tien Lu, Naren Ramakrishnan

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Estimating the Circuit Deobfuscating Runtime based on Graph Deep Learning.

Zhiqian Chen, Gaurav Kolhe, Setareh Rafatirad, Sai Manoj P. D., Houman Homayoun, Liang Zhao, Chang-Tien Lu

CoRR, 2019

Patent Citation Dynamics Modeling via Multi-Attention Recurrent Networks.

Taoran Ji, Zhiqian Chen, Nathan Self, Kaiqun Fu, Chang-Tien Lu, Naren Ramakrishnan

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

REGAL: A Regionalization framework for school boundaries.

Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Andreea Sistrunk, Nathan Self, Chang-Tien Lu, Naren Ramakrishnan

Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2019

2018

Virtual Metering: An Efficient Water Disaggregation Algorithm via Nonintrusive Load Monitoring.

Bingsheng Wang, Zhiqian Chen, Arnold P. Boedihardjo, Chang-Tien Lu

ACM Trans. Intell. Syst. Technol., 2018

DIMPL: a distributed in-memory drone flight path builder system.

Manu Shukla, Zhiqian Chen, Chang-Tien Lu

J. Big Data, 2018

Rational Neural Networks for Approximating Jump Discontinuities of Graph Convolution Operator.

Zhiqian Chen, Feng Chen, Rongjie Lai, Xuchao Zhang, Chang-Tien Lu

CoRR, 2018

Distributed Self-Paced Learning in Alternating Direction Method of Multipliers.

Xuchao Zhang, Liang Zhao, Zhiqian Chen, Chang-Tien Lu

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Rational Neural Networks for Approximating Graph Convolution Operator on Jump Discontinuities.

Zhiqian Chen, Feng Chen, Rongjie Lai, Xuchao Zhang, Chang-Tien Lu

Proceedings of the IEEE International Conference on Data Mining, 2018

StreetNet: preference learning with convolutional neural network on urban crime perception.

Kaiqun Fu, Zhiqian Chen, Chang-Tien Lu

Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2018

2017

Multimodal Storytelling via Generative Adversarial Imitation Learning.

Zhiqian Chen, Xuchao Zhang, Arnold P. Boedihardjo, Jing Dai, Chang-Tien Lu

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Learning to Fuse Music Genres with Generative Adversarial Dual Learning.

Zhiqian Chen, Chih-Wei Wu, Yen-Cheng Lu, Alexander Lerch, Chang-Tien Lu

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

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

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

TRACES: Generating Twitter stories via shared subspace and temporal smoothness.

Xuchao Zhang, Zhiqian Chen, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

Storytelling in heterogeneous Twitter entity network based on hierarchical cluster routing.

Xuchao Zhang, Zhiqian Chen, Weisheng Zhong, Arnold P. Boedihardjo, Chang-Tien Lu

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2014

Sensorless Predictive Peak Current Control for Boost Converter Using Comprehensive Compensation Strategy.

Qiaoling Tong, Qiao Zhang, Run Min, Xuecheng Zou, Zhenglin Liu, Zhiqian Chen

IEEE Trans. Ind. Electron., 2014

2013

Detecting Impolite Crawler by Using Time Series Analysis.

Zhiqian Chen, Wenya Feng

Proceedings of the 25th IEEE International Conference on Tools with Artificial Intelligence, 2013

2003

An extended electromotive force model for sensorless control of interior permanent-magnet synchronous motors.

Zhiqian Chen, Mutuwo Tomita, Shinji Doki, Shigeru Okuma

IEEE Trans. Ind. Electron., 2003

2000

New adaptive sliding observers for position- and velocity-sensorless controls of brushless DC motors.

Zhiqian Chen, Mutuwo Tomita, Shinji Doki, Shigeru Okuma

IEEE Trans. Ind. Electron., 2000