Zhiqian Chen

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 67

Top Topics

Influence Maximization

Endoscopic Images

Top Venues

Publications

Nisha Pillai, Bindu Nanduri, Michael J. Rothrock Jr., Zhiqian Chen, Mahalingam Ramkumar
Bayesian-Guided Generation of Synthetic Microbiomes with Minimized Pathogenicity. CoRR (2024)
Zonghan Zhang, Zijian Zhang, Zhiqian Chen
Multiple-Source Localization from a Single-Snapshot Observation Using Graph Bayesian Optimization. AAAI (2024)
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) (2024)
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) (2024)
Nisha Pillai, Ganga Gireesan, Michael J. Rothrock Jr., Bindu Nanduri, Zhiqian Chen, Mahalingam Ramkumar
Towards Interpreting Multi-Objective Feature Associations. CoRR (2024)
Zirui Yuan, Minglai Shao, Zhiqian Chen
Graph Bayesian Optimization for Multiplex Influence Maximization. CoRR (2024)
Meng Li, Wenjing Li, Zhiqian Chen, Junfei Qiao
An adaptive evolutionary modular neural network with intermodule connections. Appl. Intell. 54 (5) (2024)
Nisha Pillai, Ganga Gireesan, Michael J. Rothrock, Bindu Nanduri, Zhiqian Chen, Mahalingam Ramkumar
Towards Interpreting Multi-Objective Feature Associations. SysCon (2024)
Zonghan Zhang, Zijian Zhang, Zhiqian Chen
Multiple-Source Localization from a Single-Snapshot Observation Using Graph Bayesian Optimization. CoRR (2024)
Rui Shang, Siji Chen, Zhiqian Chen, Chang-Tien Lu
GraphNILM: A Graph Neural Network for Energy Disaggregation. PAKDD (2) (2024)
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) (2024)
Ganga Gireesan, Nisha Pillai, Michael J. Rothrock, Bindu Nanduri, Zhiqian Chen, Mahalingam Ramkumar
Deep Sensitivity Analysis for Objective-Oriented Combinatorial Optimization. CoRR (2024)
Kollin Napier, Tanmay Bhowmik, Zhiqian Chen
Explaining poor performance of text-based machine learning models for vulnerability detection. Empir. Softw. Eng. 29 (5) (2024)
Lei Zhang, Zhiqian Chen, Chang-Tien Lu, Liang Zhao
Network Interdiction Goes Neural. CoRR (2024)
Zirui Yuan, Minglai Shao, Zhiqian Chen
Graph Bayesian Optimization for Multiplex Influence Maximization. AAAI (2024)
Jinpeng Mi, Zhiqian Chen, Jianwei Zhang
Weakly Supervised Referring Expression Grounding via Dynamic Self-Knowledge Distillation. IROS (2023)
Zonghan Zhang, Zhiqian Chen
Understanding Influence Maximization via Higher-Order Decomposition. SDM (2023)
Nisha Pillai, Bindu Nanduri, Michael J. Rothrock, Zhiqian Chen, Mahalingam Ramkumar
Towards Optimal Microbiome to Inhibit Multidrug Resistance. CIBCB (2023)
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) (2023)
Zijian Zhang, Zonghan Zhang, Zhiqian Chen
XFlow: Benchmarking Flow Behaviors over Graphs. CoRR (2023)
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)
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)
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 (2023)
Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Chang-Tien Lu, Naren Ramakrishnan
Memetic Algorithms for Spatial Partitioning Problems. ACM Trans. Spatial Algorithms Syst. 9 (1) (2023)
Lei Zhang, Qisheng Zhang, Zhiqian Chen, Yanshen Sun, Chang-Tien Lu, Liang Zhao
Infinitely Deep Graph Transformation Networks. ICDM (2023)
Kourosh Teimouri Baghaei, Amirreza Payandeh, Pooya Fayyazsanavi, Shahram Rahimi, Zhiqian Chen, Somayeh Bakhtiari Ramezani
Deep representation learning: Fundamentals, Perspectives, Applications, and Open Challenges. CoRR (2022)
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)
Zonghan Zhang, Zhiqian Chen
Explain Influence Maximization with Sobol Indices. CoRR (2022)
Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Chang-Tien Lu, Naren Ramakrishnan
Memetic algorithms for Spatial Partitioning problems. CoRR (2022)
Zhiqian Chen, Zonghan Zhang
Demystifying Graph Convolution with a Simple Concatenation. CoRR (2022)
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)
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)
Jason Wang, Kaiqun Fu, Zhiqian Chen, Chang-Tien Lu
Augmentation of Chinese Character Representations with Compositional Graph Learning (Student Abstract). AAAI (2022)
Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Chang-Tien Lu, Naren Ramakrishnan
Sampling-based techniques for designing school boundaries. CoRR (2022)
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)
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 (2021)
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 (2021)
Yanan Zheng, Haonan Hu, Zhiqian Chen, Bo Yin, Jie Zhang
On the Mean Local Delay of Clustered Fog Radio Access Networks. PIMRC (2021)
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)
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 (2021)
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)
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 (2021)
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) (2021)
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)
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)
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)
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)
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)
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 (2020)
Taoran Ji, Zhiqian Chen, Nathan Self, Kaiqun Fu, Chang-Tien Lu, Naren Ramakrishnan
Patent Citation Dynamics Modeling via Multi-Attention Recurrent Networks. IJCAI (2019)
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 (2019)
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)
Taoran Ji, Zhiqian Chen, Nathan Self, Kaiqun Fu, Chang-Tien Lu, Naren Ramakrishnan
Patent Citation Dynamics Modeling via Multi-Attention Recurrent Networks. CoRR (2019)
Kaiqun Fu, Zhiqian Chen, Chang-Tien Lu
StreetNet: preference learning with convolutional neural network on urban crime perception. SIGSPATIAL/GIS (2018)
Zhiqian Chen, Feng Chen, Rongjie Lai, Xuchao Zhang, Chang-Tien Lu
Rational Neural Networks for Approximating Graph Convolution Operator on Jump Discontinuities. ICDM (2018)
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) (2018)
Manu Shukla, Zhiqian Chen, Chang-Tien Lu
DIMPL: a distributed in-memory drone flight path builder system. J. Big Data 5 (2018)
Xuchao Zhang, Liang Zhao, Zhiqian Chen, Chang-Tien Lu
Distributed Self-Paced Learning in Alternating Direction Method of Multipliers. CoRR (2018)
Xuchao Zhang, Liang Zhao, Zhiqian Chen, Chang-Tien Lu
Distributed Self-Paced Learning in Alternating Direction Method of Multipliers. IJCAI (2018)
Zhiqian Chen, Feng Chen, Rongjie Lai, Xuchao Zhang, Chang-Tien Lu
Rational Neural Networks for Approximating Jump Discontinuities of Graph Convolution Operator. CoRR (2018)
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)
Zhiqian Chen, Xuchao Zhang, Arnold P. Boedihardjo, Jing Dai, Chang-Tien Lu
Multimodal Storytelling via Generative Adversarial Imitation Learning. IJCAI (2017)
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)
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)
Zhiqian Chen, Xuchao Zhang, Arnold P. Boedihardjo, Jing Dai, Chang-Tien Lu
Multimodal Storytelling via Generative Adversarial Imitation Learning. CoRR (2017)
Zhiqian Chen, Chih-Wei Wu, Yen-Cheng Lu, Alexander Lerch, Chang-Tien Lu
Learning to Fuse Music Genres with Generative Adversarial Dual Learning. CoRR (2017)
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)
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) (2014)
Zhiqian Chen, Wenya Feng
Detecting Impolite Crawler by Using Time Series Analysis. ICTAI (2013)
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) (2003)
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) (2000)