Zhiqian Chen - RankMe

93 papers A* 17A 5B 5C 1Journal 46Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AMCNN: attention-based multi-column neural network for multivariate multi-step time series prediction. Appl. Intell. Wenjing Li, Zhiqian Chen, Ruoqing Qiu
2026	A	`conf`	Uncertainty Quantification for Dynamical Networks. WSDM Zhiqian Chen, Zonghan Zhang
2025	—	`conf`	Deep Gaussian Fusion Network for Traffic Prediction. ICDM (Workshops) Andrew Meng, Zhiqian Chen
2025	A*	`conf`	Embedding-based Retrieval in Multi-Modal Content Moderation. SIGIR Hanzhong Liang, Jinghao Shi, Xiang Shen, Zixuan Wang, Vera Wen, Ardalan Mehrani, Zhiqian Chen, Yifan Wu, Zhixin Zhang
2025	J	`jnl`	Embedding-based Retrieval in Multimodal Content Moderation. CoRR Hanzhong Liang, Jinghao Shi, Xiang Shen, Zixuan Wang, Vera Wen, Ardalan Mehrani, Zhiqian Chen, Yifan Wu, Zhixin Zhang
2025	—	`conf`	Filter-And-Refine: A MLLM Based Cascade System for Industrial-Scale Video Content Moderation. ACL (6) Zixuan Wang, Jinghao Shi, Hanzhong Liang, Xiang Shen, Vera Wen, Zhiqian Chen, Yifan Wu, Zhixin Zhang, Hongyu Xiong
2025	J	`jnl`	Filter-And-Refine: A MLLM Based Cascade System for Industrial-Scale Video Content Moderation. CoRR Zixuan Wang, Jinghao Shi, Hanzhong Liang, Xiang Shen, Vera Wen, Zhiqian Chen, Yifan Wu, Zhixin Zhang, Hongyu Xiong
2025	—	`conf`	Graph symbolic regression to interpret the propagation of Vesicular Stomatitis Virus across the U.S. and Mexico. SIGSPATIAL/GIS Tamanna Rashme, Zonghan Zhang, Jason Weeks, Marouane Benbrahim, Zijian Zhang, Zhiqian Chen, Nisha Pillai, Ram Ramkumar, Bindu Nanduri
2025	J	`jnl`	Implicit graph neural network for deep graph transformation. Knowl. Inf. Syst. Lei Zhang, Qisheng Zhang, Zhiqian Chen, Yanshen Sun, Chang-Tien Lu, Liang Zhao
2025	J	`jnl`	MOTGNN: Interpretable Graph Neural Networks for Multi-Omics Disease Classification. CoRR Tiantian Yang, Zhiqian Chen
2025	—	`conf`	Network Interdiction Goes Neural. KDD (2) Lei Zhang, Zhiqian Chen, Chang-Tien Lu, Liang Zhao
2025	B	`conf`	Sobol's Total Indices for Accurate and Scalable Feature Exclusion in High-Dimensional Data. IEEE Big Data Zonghan Zhang, Zhiqian Chen
2025	J	`jnl`	TF-DWGNet: A Directed Weighted Graph Neural Network with Tensor Fusion for Multi-Omics Cancer Subtype Classification. CoRR Tiantian Yang, Zhiqian Chen
2024	A*	`conf`	A Graph-based Representation Framework for Trajectory Recovery via Spatiotemporal Interval-Informed Seq2Seq. IJCAI Yaya Zhao, Kaiqi Zhao, Zhiqian Chen, Yuanyuan Zhang, Yalei Du, Xiaoling Lu
2024	J	`jnl`	An adaptive evolutionary modular neural network with intermodule connections. Appl. Intell. Meng Li, Wenjing Li, Zhiqian Chen, Junfei Qiao
2024	—	`conf`	Bayesian-Guided Generation of Synthetic Microbiomes with Minimized Pathogenicity. EMBC Nisha Pillai, Bindu Nanduri, Michael J. Rothrock, Zhiqian Chen, Mahalingam Ramkumar
2024	J	`jnl`	Bayesian-Guided Generation of Synthetic Microbiomes with Minimized Pathogenicity. CoRR Nisha Pillai, Bindu Nanduri, Michael J. Rothrock Jr., Zhiqian Chen, Mahalingam Ramkumar
2024	J	`jnl`	Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks. ACM Comput. Surv. Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Lingfei Wu, Charu Aggarwal, Chang-Tien Lu
2024	J	`jnl`	Citation Forecasting with Multi-Context Attention-Aided Dependency Modeling. ACM Trans. Knowl. Discov. Data Taoran Ji, Nathan Self, Kaiqun Fu, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu
2024	J	`jnl`	Deep Sensitivity Analysis for Objective-Oriented Combinatorial Optimization. CoRR Ganga Gireesan, Nisha Pillai, Michael J. Rothrock, Bindu Nanduri, Zhiqian Chen, Mahalingam Ramkumar
2024	J	`jnl`	Design of a bi-level PSO based modular neural network for multi-step time series prediction. Appl. Intell. Wenjing Li, Yonglei Liu, Zhiqian Chen
2024	J	`jnl`	Explaining poor performance of text-based machine learning models for vulnerability detection. Empir. Softw. Eng. Kollin Napier, Tanmay Bhowmik, Zhiqian Chen
2024	—	`conf`	FHIRViz: Multi-Agent Platform for FHIR Visualization to Advance Healthcare Analytics. BCB Mariam Almutairi, Lulwah Alkulaib, Shengkun Wang, Zhiqian Chen, Youssif ALMutairi, Thamer M. Alenazi, Kurt Luther, Chang-Tien Lu
2024	A*	`conf`	Graph Bayesian Optimization for Multiplex Influence Maximization. AAAI Zirui Yuan, Minglai Shao, Zhiqian Chen
2024	J	`jnl`	Graph Bayesian Optimization for Multiplex Influence Maximization. CoRR Zirui Yuan, Minglai Shao, Zhiqian Chen
2024	—	`conf`	GraphNILM: A Graph Neural Network for Energy Disaggregation. PAKDD (2) Rui Shang, Siji Chen, Zhiqian Chen, Chang-Tien Lu
2024	—	`conf`	Leveraging Graph Neural Networks for MIC Prediction in Antimicrobial Resistance Studies. EMBC Zonghan Zhang, Ramyasri Veerapaneni, Moses Ayoola, Athish Ram Das, Zhiqian Chen, Bindu Nanduri, Mahalingam Ramkumar
2024	A*	`conf`	Multiple-Source Localization from a Single-Snapshot Observation Using Graph Bayesian Optimization. AAAI Zonghan Zhang, Zijian Zhang, Zhiqian Chen
2024	J	`jnl`	Multiple-Source Localization from a Single-Snapshot Observation Using Graph Bayesian Optimization. CoRR Zonghan Zhang, Zijian Zhang, Zhiqian Chen
2024	J	`jnl`	Network Interdiction Goes Neural. CoRR Lei Zhang, Zhiqian Chen, Chang-Tien Lu, Liang Zhao
2024	B	`conf`	Neural Tangent Bayesian Optimization for Accurate and Efficient Influence Maximization. ICTAI Zijian Zhang, Zonghan Zhang, Zhiqian Chen
2024	J	`jnl`	Novel System-Level Driving-Cycle-Oriented Design Co-Optimization of Electrical Machines for Electrical Vehicles. IEEE Access Zhitong Ran, Zi-Qiang Zhu, Zhiqian Chen, Matthew Younkins, Philippe Farah
2024	—	`conf`	Towards Interpreting Multi-Objective Feature Associations. SysCon Nisha Pillai, Ganga Gireesan, Michael J. Rothrock, Bindu Nanduri, Zhiqian Chen, Mahalingam Ramkumar
2024	J	`jnl`	Towards Interpreting Multi-Objective Feature Associations. CoRR Nisha Pillai, Ganga Gireesan, Michael J. Rothrock Jr., Bindu Nanduri, Zhiqian Chen, Mahalingam Ramkumar
2024	A	`conf`	Unifying Spectral and Spatial Graph Neural Networks. CIKM Zhiqian Chen, Lei Zhang, Liang Zhao
2024	J	`jnl`	Zero-shot visual grounding via coarse-to-fine representation learning. Neurocomputing Jinpeng Mi, Shaofei Jin, Zhiqian Chen, Dan Liu, Xian Wei, Jianwei Zhang
2023	J	`jnl`	A Benchmark Dataset of Endoscopic Images and Novel Deep Learning Method to Detect Intestinal Metaplasia and Gastritis Atrophy. IEEE J. Biomed. Health Informatics Jie Yang, Yan Ou, Zhiqian Chen, Juan Liao, Wenjian Sun, Yang Luo, Chunbo Luo
2023	J	`jnl`	Deep Representation Learning: Fundamentals, Technologies, Applications, and Open Challenges. IEEE Access Amirreza Payandeh, Kourosh Teimouri Baghaei, Pooya Fayyazsanavi, Somayeh Bakhtiari Ramezani, Zhiqian Chen, Shahram Rahimi
2023	A*	`conf`	Exploring Tradeoffs in Automated School Redistricting: Computational and Ethical Perspectives. AAAI Fanglan Chen, Subhodip Biswas, Zhiqian Chen, Shuo Lei, Naren Ramakrishnan, Chang-Tien Lu
2023	J	`jnl`	Fast and adaptive dynamics-on-graphs to dynamics-of-graphs translation. Frontiers Big Data Lei Zhang, Zhiqian Chen, Chang-Tien Lu, Liang Zhao
2023	A*	`conf`	Infinitely Deep Graph Transformation Networks. ICDM Lei Zhang, Qisheng Zhang, Zhiqian Chen, Yanshen Sun, Chang-Tien Lu, Liang Zhao
2023	J	`jnl`	Memetic Algorithms for Spatial Partitioning Problems. ACM Trans. Spatial Algorithms Syst. Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Chang-Tien Lu, Naren Ramakrishnan
2023	C	`conf`	Towards Optimal Microbiome to Inhibit Multidrug Resistance. CIBCB Nisha Pillai, Bindu Nanduri, Michael J. Rothrock, Zhiqian Chen, Mahalingam Ramkumar
2023	A	`conf`	Understanding Influence Maximization via Higher-Order Decomposition. SDM Zonghan Zhang, Zhiqian Chen
2023	A	`conf`	Weakly Supervised Referring Expression Grounding via Dynamic Self-Knowledge Distillation. IROS Jinpeng Mi, Zhiqian Chen, Jianwei Zhang
2023	J	`jnl`	XFlow: Benchmarking Flow Behaviors over Graphs. CoRR Zijian Zhang, Zonghan Zhang, Zhiqian Chen
2022	A*	`conf`	Augmentation of Chinese Character Representations with Compositional Graph Learning (Student Abstract). AAAI Jason Wang, Kaiqun Fu, Zhiqian Chen, Chang-Tien Lu
2022	A*	`conf`	Blocking Influence at Collective Level with Hard Constraints (Student Abstract). AAAI Zonghan Zhang, Subhodip Biswas, Fanglan Chen, Kaiqun Fu, Taoran Ji, Chang-Tien Lu, Naren Ramakrishnan, Zhiqian Chen
2022	J	`jnl`	Deep representation learning: Fundamentals, Perspectives, Applications, and Open Challenges. CoRR Kourosh Teimouri Baghaei, Amirreza Payandeh, Pooya Fayyazsanavi, Shahram Rahimi, Zhiqian Chen, Somayeh Bakhtiari Ramezani
2022	J	`jnl`	Demystifying Graph Convolution with a Simple Concatenation. CoRR Zhiqian Chen, Zonghan Zhang
2022	A*	`conf`	Early Forecast of Traffic Accident Impact Based on a Single-Snapshot Observation (Student Abstract). AAAI Guangyu Meng, Qisheng Jiang, Kaiqun Fu, Beiyu Lin, Chang-Tien Lu, Zhiqian Chen
2022	J	`jnl`	Explain Influence Maximization with Sobol Indices. CoRR Zonghan Zhang, Zhiqian Chen
2022	A*	`conf`	From "Dynamics on Graphs" to "Dynamics of Graphs": An Adaptive Echo-State Network Solution (Student Abstract). AAAI Lei Zhang, Zhiqian Chen, Chang-Tien Lu, Liang Zhao
2022	J	`jnl`	Memetic algorithms for Spatial Partitioning problems. CoRR Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Chang-Tien Lu, Naren Ramakrishnan
2022	J	`jnl`	Sampling-based techniques for designing school boundaries. CoRR Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Chang-Tien Lu, Naren Ramakrishnan
2021	—	`conf`	A Hierarchical Attention Graph Convolutional Network for Traffic Incident Impact Forecasting. IEEE BigData Kaiqun Fu, Taoran Ji, Nathan Self, Zhiqian Chen, Chang-Tien Lu
2021	J	`jnl`	Bridging the Gap between Spatial and Spectral Domains: A Theoretical Framework for Graph Neural Networks. CoRR Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Lingfei Wu, Charu C. Aggarwal, Chang-Tien Lu
2021	J	`jnl`	Deep Graph Learning for Circuit Deobfuscation. Frontiers Big Data Zhiqian Chen, Lei Zhang, Gaurav Kolhe, Hadi Mardani Kamali, Setareh Rafatirad, Sai Manoj Pudukotai Dinakarrao, Houman Homayoun, Chang-Tien Lu, Liang Zhao
2021	B	`conf`	Deep diffusion-based forecasting of COVID-19 by incorporating network-level mobility information. ASONAM Padmaksha Roy, Shailik Sarkar, Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu
2021	J	`jnl`	Deep diffusion-based forecasting of COVID-19 by incorporating network-level mobility information. CoRR Padmaksha Roy, Shailik Sarkar, Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu
2021	J	`jnl`	Development and evaluation of a method to detect broilers continuously walking around feeder as an indication of restricted feeding behaviors. Comput. Electron. Agric. Guoming Li, Xue Hui, Zhiqian Chen, Gray D. Chesser Jr., Yang Zhao
2021	A*	`conf`	Dynamic Multi-Context Attention Networks for Citation Forecasting of Scientific Publications. AAAI Taoran Ji, Nathan Self, Kaiqun Fu, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu
2021	B	`conf`	On the Mean Local Delay of Clustered Fog Radio Access Networks. PIMRC Yanan Zheng, Haonan Hu, Zhiqian Chen, Bo Yin, Jie Zhang
2021	J	`jnl`	Practices and Applications of Convolutional Neural Network-Based Computer Vision Systems in Animal Farming: A Review. Sensors Guoming Li, Yanbo Huang, Zhiqian Chen, Gray D. Chesser Jr., Joseph L. Purswell, John Linhoss, Yang Zhao
2020	J	`jnl`	Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks. CoRR Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Chang-Tien Lu
2020	A	`conf`	Estimating the Circuit De-obfuscation Runtime based on Graph Deep Learning. DATE Zhiqian Chen, Gaurav Kolhe, Setareh Rafatirad, Chang-Tien Lu, Sai Manoj P. D., Houman Homayoun, Liang Zhao
2020	A*	`conf`	Geospatial Clustering for Balanced and Proximal Schools. AAAI Subhodip Biswas, Fanglan Chen, Andreea Sistrunk, Sathappan Muthiah, Zhiqian Chen, Nathan Self, Chang-Tien Lu, Naren Ramakrishnan
2020	—	`conf`	Graph Convolutional Networks with Kalman Filtering for Traffic Prediction. SIGSPATIAL/GIS Fanglan Chen, Zhiqian Chen, Subhodip Biswas, Shuo Lei, Naren Ramakrishnan, Chang-Tien Lu
2020	—	`—`	Graph Neural Networks: Techniques and Applications. Zhiqian Chen
2020	—	`conf`	Incorporating domain knowledge into Memetic Algorithms for solving Spatial Optimization problems. SIGSPATIAL/GIS Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Chang-Tien Lu, Naren Ramakrishnan
2020	—	`conf`	Towards More Accurate Uncertainty Estimation In Text Classification. EMNLP (1) Jianfeng He, Xuchao Zhang, Shuo Lei, Zhiqian Chen, Fanglan Chen, Abdulaziz Alhamadani, Bei Xiao, Chang-Tien Lu
2019	J	`jnl`	Estimating the Circuit Deobfuscating Runtime based on Graph Deep Learning. CoRR Zhiqian Chen, Gaurav Kolhe, Setareh Rafatirad, Sai Manoj P. D., Houman Homayoun, Liang Zhao, Chang-Tien Lu
2019	A*	`conf`	Patent Citation Dynamics Modeling via Multi-Attention Recurrent Networks. IJCAI Taoran Ji, Zhiqian Chen, Nathan Self, Kaiqun Fu, Chang-Tien Lu, Naren Ramakrishnan
2019	J	`jnl`	Patent Citation Dynamics Modeling via Multi-Attention Recurrent Networks. CoRR Taoran Ji, Zhiqian Chen, Nathan Self, Kaiqun Fu, Chang-Tien Lu, Naren Ramakrishnan
2019	—	`conf`	REGAL: A Regionalization framework for school boundaries. SIGSPATIAL/GIS Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Andreea Sistrunk, Nathan Self, Chang-Tien Lu, Naren Ramakrishnan
2018	J	`jnl`	DIMPL: a distributed in-memory drone flight path builder system. J. Big Data Manu Shukla, Zhiqian Chen, Chang-Tien Lu
2018	A*	`conf`	Distributed Self-Paced Learning in Alternating Direction Method of Multipliers. IJCAI Xuchao Zhang, Liang Zhao, Zhiqian Chen, Chang-Tien Lu
2018	J	`jnl`	Distributed Self-Paced Learning in Alternating Direction Method of Multipliers. CoRR Xuchao Zhang, Liang Zhao, Zhiqian Chen, Chang-Tien Lu
2018	A*	`conf`	Rational Neural Networks for Approximating Graph Convolution Operator on Jump Discontinuities. ICDM Zhiqian Chen, Feng Chen, Rongjie Lai, Xuchao Zhang, Chang-Tien Lu
2018	J	`jnl`	Rational Neural Networks for Approximating Jump Discontinuities of Graph Convolution Operator. CoRR Zhiqian Chen, Feng Chen, Rongjie Lai, Xuchao Zhang, Chang-Tien Lu
2018	—	`conf`	StreetNet: preference learning with convolutional neural network on urban crime perception. SIGSPATIAL/GIS Kaiqun Fu, Zhiqian Chen, Chang-Tien Lu
2018	J	`jnl`	Virtual Metering: An Efficient Water Disaggregation Algorithm via Nonintrusive Load Monitoring. ACM Trans. Intell. Syst. Technol. Bingsheng Wang, Zhiqian Chen, Arnold P. Boedihardjo, Chang-Tien Lu
2017	A*	`conf`	Learning to Fuse Music Genres with Generative Adversarial Dual Learning. ICDM Zhiqian Chen, Chih-Wei Wu, Yen-Cheng Lu, Alexander Lerch, Chang-Tien Lu
2017	J	`jnl`	Learning to Fuse Music Genres with Generative Adversarial Dual Learning. CoRR Zhiqian Chen, Chih-Wei Wu, Yen-Cheng Lu, Alexander Lerch, Chang-Tien Lu
2017	A*	`conf`	Multimodal Storytelling via Generative Adversarial Imitation Learning. IJCAI Zhiqian Chen, Xuchao Zhang, Arnold P. Boedihardjo, Jing Dai, Chang-Tien Lu
2017	J	`jnl`	Multimodal Storytelling via Generative Adversarial Imitation Learning. CoRR Zhiqian Chen, Xuchao Zhang, Arnold P. Boedihardjo, Jing Dai, Chang-Tien Lu
2017	—	`conf`	TRACES: Generating Twitter stories via shared subspace and temporal smoothness. IEEE BigData Xuchao Zhang, Zhiqian Chen, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu
2017	—	`conf`	Trendi: Tracking stories in news and microblogs via emerging, evolving and fading topics. IEEE BigData Xuchao Zhang, Liang Zhao, Zhiqian Chen, Arnold P. Boedihardjo, Jing Dai, Chang-Tien Lu
2016	—	`conf`	Storytelling in heterogeneous Twitter entity network based on hierarchical cluster routing. IEEE BigData Xuchao Zhang, Zhiqian Chen, Weisheng Zhong, Arnold P. Boedihardjo, Chang-Tien Lu
2014	J	`jnl`	Sensorless Predictive Peak Current Control for Boost Converter Using Comprehensive Compensation Strategy. IEEE Trans. Ind. Electron. Qiaoling Tong, Qiao Zhang, Run Min, Xuecheng Zou, Zhenglin Liu, Zhiqian Chen
2013	B	`conf`	Detecting Impolite Crawler by Using Time Series Analysis. ICTAI Zhiqian Chen, Wenya Feng
2003	J	`jnl`	An extended electromotive force model for sensorless control of interior permanent-magnet synchronous motors. IEEE Trans. Ind. Electron. Zhiqian Chen, Mutuwo Tomita, Shinji Doki, Shigeru Okuma
2000	J	`jnl`	New adaptive sliding observers for position- and velocity-sensorless controls of brushless DC motors. IEEE Trans. Ind. Electron. Zhiqian Chen, Mutuwo Tomita, Shinji Doki, Shigeru Okuma