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)

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)

Detecting Impolite Crawler by Using Time Series Analysis. - Zhiqian Chen; Wenya Feng (ICTAI, 2013)

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)

Storytelling in heterogeneous Twitter entity network based on hierarchical cluster routing. - Xuchao Zhang; Zhiqian Chen; Weisheng Zhong; Arnold P. Boedihardjo; Chang-Tien Lu (IEEE BigData, 2016)

TRACES: Generating Twitter stories via shared subspace and temporal smoothness. - Xuchao Zhang; Zhiqian Chen; Liang Zhao 002; Arnold P. Boedihardjo; Chang-Tien Lu (IEEE BigData, 2017)

Trendi: Tracking stories in news and microblogs via emerging, evolving and fading topics. - Xuchao Zhang; Liang Zhao 002; Zhiqian Chen; Arnold P. Boedihardjo; Jing Dai; Chang-Tien Lu (IEEE BigData, 2017)

Learning to Fuse Music Genres with Generative Adversarial Dual Learning. - Zhiqian Chen; Chih-Wei Wu; Yen-Cheng Lu; Alexander Lerch 001; Chang-Tien Lu (ICDM, 2017)

Multimodal Storytelling via Generative Adversarial Imitation Learning. - Zhiqian Chen; Xuchao Zhang; Arnold P. Boedihardjo; Jing Dai; Chang-Tien Lu (IJCAI, 2017)

StreetNet: preference learning with convolutional neural network on urban crime perception. - Kaiqun Fu; Zhiqian Chen; Chang-Tien Lu (SIGSPATIAL/GIS, 2018)

Rational Neural Networks for Approximating Graph Convolution Operator on Jump Discontinuities. - Zhiqian Chen; Feng Chen 001; Rongjie Lai; Xuchao Zhang; Chang-Tien Lu (ICDM, 2018)

Distributed Self-Paced Learning in Alternating Direction Method of Multipliers. - Xuchao Zhang; Liang Zhao 002; Zhiqian Chen; Chang-Tien Lu (IJCAI, 2018)

Rational Neural Networks for Approximating Jump Discontinuities of Graph Convolution Operator. - Zhiqian Chen; Feng Chen 001; Rongjie Lai; Xuchao Zhang; Chang-Tien Lu (CoRR, 2018)

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

REGAL: A Regionalization framework for school boundaries. - Subhodip Biswas; Fanglan Chen; Zhiqian Chen; Andreea Sistrunk; Nathan Self; Chang-Tien Lu; Naren Ramakrishnan (SIGSPATIAL/GIS, 2019)

Patent Citation Dynamics Modeling via Multi-Attention Recurrent Networks. - Taoran Ji; Zhiqian Chen; Nathan Self; Kaiqun Fu; Chang-Tien Lu; Naren Ramakrishnan (IJCAI, 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 002; Chang-Tien Lu (CoRR, 2019)

Geospatial Clustering for Balanced and Proximal Schools. - Subhodip Biswas; Fanglan Chen; Andreea Sistrunk; Sathappan Muthiah; Zhiqian Chen; Nathan Self; Chang-Tien Lu; Naren Ramakrishnan (AAAI, 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 002 (DATE, 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 (EMNLP (1), 2020)

Incorporating domain knowledge into Memetic Algorithms for solving Spatial Optimization problems. - Subhodip Biswas; Fanglan Chen; Zhiqian Chen; Chang-Tien Lu; Naren Ramakrishnan (SIGSPATIAL/GIS, 2020)

Graph Convolutional Networks with Kalman Filtering for Traffic Prediction. - Fanglan Chen; Zhiqian Chen; Subhodip Biswas; Shuo Lei; Naren Ramakrishnan; Chang-Tien Lu (SIGSPATIAL/GIS, 2020)

Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks. - Zhiqian Chen; Fanglan Chen; Lei Zhang 158; Taoran Ji; Kaiqun Fu; Liang Zhao 002; Feng Chen 001; Chang-Tien Lu (CoRR, 2020)

Dynamic Multi-Context Attention Networks for Citation Forecasting of Scientific Publications. - Taoran Ji; Nathan Self; Kaiqun Fu; Zhiqian Chen; Naren Ramakrishnan; Chang-Tien Lu (AAAI, 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 (ASONAM, 2021)

A Hierarchical Attention Graph Convolutional Network for Traffic Incident Impact Forecasting. - Kaiqun Fu; Taoran Ji; Nathan Self; Zhiqian Chen; Chang-Tien Lu (IEEE BigData, 2021)

On the Mean Local Delay of Clustered Fog Radio Access Networks. - Yanan Zheng; Haonan Hu; Zhiqian Chen; Bo Yin; Jie Zhang 003 (PIMRC, 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 032 (Comput. Electron. Agric., 2021)

Bridging the Gap between Spatial and Spectral Domains: A Theoretical Framework for Graph Neural Networks. - Zhiqian Chen; Fanglan Chen; Lei Zhang 158; Taoran Ji; Kaiqun Fu; Liang Zhao 002; Feng Chen 001; Lingfei Wu 001; Charu C. Aggarwal; Chang-Tien Lu (CoRR, 2021)

Deep Graph Learning for Circuit Deobfuscation. - Zhiqian Chen; Lei Zhang 158; Gaurav Kolhe; Hadi Mardani Kamali; Setareh Rafatirad; Sai Manoj Pudukotai Dinakarrao; Houman Homayoun; Chang-Tien Lu; Liang Zhao 002 (Frontiers Big Data, 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 032 (Sensors, 2021)

Early Forecast of Traffic Accident Impact Based on a Single-Snapshot Observation (Student Abstract). - Guangyu Meng; Qisheng Jiang 001; Kaiqun Fu; Beiyu Lin; Chang-Tien Lu; Zhiqian Chen (AAAI, 2022)

Augmentation of Chinese Character Representations with Compositional Graph Learning (Student Abstract). - Jason Wang; Kaiqun Fu; Zhiqian Chen; Chang-Tien Lu (AAAI, 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 (AAAI, 2022)

From "Dynamics on Graphs" to "Dynamics of Graphs": An Adaptive Echo-State Network Solution (Student Abstract). - Lei Zhang 158; Zhiqian Chen; Chang-Tien Lu; Liang Zhao 002 (AAAI, 2022)

Sampling-based techniques for designing school boundaries. - Subhodip Biswas; Fanglan Chen; Zhiqian Chen; Chang-Tien Lu; Naren Ramakrishnan (CoRR, 2022)

Explain Influence Maximization with Sobol Indices. - Zonghan Zhang; Zhiqian Chen (CoRR, 2022)

Demystifying Graph Convolution with a Simple Concatenation. - Zhiqian Chen; Zonghan Zhang (CoRR, 2022)

Deep representation learning: Fundamentals, Perspectives, Applications, and Open Challenges. - Kourosh Teimouri Baghaei; Amirreza Payandeh; Pooya Fayyazsanavi; Shahram Rahimi 001; Zhiqian Chen; Somayeh Bakhtiari Ramezani (CoRR, 2022)

Exploring Tradeoffs in Automated School Redistricting: Computational and Ethical Perspectives. - Fanglan Chen; Subhodip Biswas; Zhiqian Chen; Shuo Lei; Naren Ramakrishnan; Chang-Tien Lu (AAAI, 2023)

Towards Optimal Microbiome to Inhibit Multidrug Resistance. - Nisha Pillai; Bindu Nanduri; Michael J. Rothrock; Zhiqian Chen; Mahalingam Ramkumar (CIBCB, 2023)

Infinitely Deep Graph Transformation Networks. - Lei Zhang 158; Qisheng Zhang; Zhiqian Chen; Yanshen Sun; Chang-Tien Lu; Liang Zhao 002 (ICDM, 2023)

Weakly Supervised Referring Expression Grounding via Dynamic Self-Knowledge Distillation. - Jinpeng Mi; Zhiqian Chen; Jianwei Zhang 001 (IROS, 2023)

Understanding Influence Maximization via Higher-Order Decomposition. - Zonghan Zhang; Zhiqian Chen (SDM, 2023)

Deep Representation Learning: Fundamentals, Technologies, Applications, and Open Challenges. - Amirreza Payandeh; Kourosh Teimouri Baghaei; Pooya Fayyazsanavi; Somayeh Bakhtiari Ramezani; Zhiqian Chen; Shahram Rahimi 001 (IEEE Access, 2023)

XFlow: Benchmarking Flow Behaviors over Graphs. - Zijian Zhang; Zonghan Zhang; Zhiqian Chen (CoRR, 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)

Fast and adaptive dynamics-on-graphs to dynamics-of-graphs translation. - Lei Zhang 158; Zhiqian Chen; Chang-Tien Lu; Liang Zhao 002 (Frontiers Big Data, 2023)

Memetic Algorithms for Spatial Partitioning Problems. - Subhodip Biswas; Fanglan Chen; Zhiqian Chen; Chang-Tien Lu; Naren Ramakrishnan (ACM Trans. Spatial Algorithms Syst., 2023)

Graph Bayesian Optimization for Multiplex Influence Maximization. - Zirui Yuan; Minglai Shao 001; Zhiqian Chen (AAAI, 2024)

Multiple-Source Localization from a Single-Snapshot Observation Using Graph Bayesian Optimization. - Zonghan Zhang; Zijian Zhang; Zhiqian Chen (AAAI, 2024)

FHIRViz: Multi-Agent Platform for FHIR Visualization to Advance Healthcare Analytics. - Mariam Almutairi; Lulwah Alkulaib; Shengkun Wang; Zhiqian Chen; Youssif ALMutairi; Thamer M. Alenazi; Kurt Luther; Chang-Tien Lu (BCB, 2024)

Unifying Spectral and Spatial Graph Neural Networks. - Zhiqian Chen; Lei Zhang 158; Liang Zhao 002 (CIKM, 2024)

Bayesian-Guided Generation of Synthetic Microbiomes with Minimized Pathogenicity. - Nisha Pillai; Bindu Nanduri; Michael J. Rothrock; Zhiqian Chen; Mahalingam Ramkumar (EMBC, 2024)

Leveraging Graph Neural Networks for MIC Prediction in Antimicrobial Resistance Studies. - Zonghan Zhang; Ramyasri Veerapaneni; Moses Ayoola; Athish Ram Das; Zhiqian Chen; Bindu Nanduri; Mahalingam Ramkumar (EMBC, 2024)

Neural Tangent Bayesian Optimization for Accurate and Efficient Influence Maximization. - Zijian Zhang; Zonghan Zhang; Zhiqian Chen (ICTAI, 2024)

A Graph-based Representation Framework for Trajectory Recovery via Spatiotemporal Interval-Informed Seq2Seq. - Yaya Zhao; Kaiqi Zhao 001; Zhiqian Chen; Yuanyuan Zhang 010; Yalei Du; Xiaoling Lu (IJCAI, 2024)

GraphNILM: A Graph Neural Network for Energy Disaggregation. - Rui Shang; Siji Chen; Zhiqian Chen; Chang-Tien Lu (PAKDD (2), 2024)

Towards Interpreting Multi-Objective Feature Associations. - Nisha Pillai; Ganga Gireesan; Michael J. Rothrock; Bindu Nanduri; Zhiqian Chen; Mahalingam Ramkumar (SysCon, 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)

Deep Sensitivity Analysis for Objective-Oriented Combinatorial Optimization. - Ganga Gireesan; Nisha Pillai; Michael J. Rothrock; Bindu Nanduri; 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)

Bayesian-Guided Generation of Synthetic Microbiomes with Minimized Pathogenicity. - Nisha Pillai; Bindu Nanduri; Michael J. Rothrock Jr.; Zhiqian Chen; Mahalingam Ramkumar (CoRR, 2024)

Network Interdiction Goes Neural. - Lei Zhang 158; Zhiqian Chen; Chang-Tien Lu; Liang Zhao 002 (CoRR, 2024)

Zero-shot visual grounding via coarse-to-fine representation learning. - Jinpeng Mi; Shaofei Jin; Zhiqian Chen; Dan Liu; Xian Wei; Jianwei Zhang 001 (Neurocomputing, 2024)

An adaptive evolutionary modular neural network with intermodule connections. - Meng Li 007; Wenjing Li 004; Zhiqian Chen; Junfei Qiao 001 (Appl. Intell., 2024)

Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks. - Zhiqian Chen; Fanglan Chen; Lei Zhang 158; Taoran Ji; Kaiqun Fu; Liang Zhao 002; Feng Chen 001; Lingfei Wu 001; Charu Aggarwal 001; Chang-Tien Lu (ACM Comput. Surv., 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, 2024)

Design of a bi-level PSO based modular neural network for multi-step time series prediction. - Wenjing Li 004; Yonglei Liu; Zhiqian Chen (Appl. Intell., 2024)

Explaining poor performance of text-based machine learning models for vulnerability detection. - Kollin Napier; Tanmay Bhowmik; Zhiqian Chen (Empir. Softw. Eng., 2024)

Embedding-based Retrieval in Multi-Modal Content Moderation. - Hanzhong Liang; Jinghao Shi; Xiang Shen 001; Zixuan Wang; Vera Wen; Ardalan Mehrani; Zhiqian Chen; Yifan Wu; Zhixin Zhang (SIGIR, 2025)

Embedding-based Retrieval in Multimodal Content Moderation. - Hanzhong Liang; Jinghao Shi; Xiang Shen 001; Zixuan Wang; Vera Wen; Ardalan Mehrani; Zhiqian Chen; Yifan Wu; Zhixin Zhang (CoRR, 2025)

Filter-And-Refine: A MLLM Based Cascade System for Industrial-Scale Video Content Moderation. - Zixuan Wang; Jinghao Shi; Hanzhong Liang; Xiang Shen 001; Vera Wen; Zhiqian Chen; Yifan Wu; Zhixin Zhang; Hongyu Xiong (CoRR, 2025)

MOTGNN: Interpretable Graph Neural Networks for Multi-Omics Disease Classification. - Tiantian Yang; Zhiqian Chen (CoRR, 2025)

Implicit graph neural network for deep graph transformation. - Lei Zhang 158; Qisheng Zhang; Zhiqian Chen; Yanshen Sun; Chang-Tien Lu; Liang Zhao 002 (Knowl. Inf. Syst., 2025)