Ziqi Chen
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
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Bibliography
2024
Modeling Sequences as Star Graphs to Address Over-Smoothing in Self-Attentive Sequential Recommendation.
ACM Trans. Knowl. Discov. Data, September, 2024
IEEE Netw., September, 2024
Full-Analog Implementation of Activation Function Based on Phase-Change Memory for Artificial Neural Networks.
IEEE Trans. Ind. Electron., August, 2024
Channel Adaptive and Sparsity Personalized Federated Learning for Privacy Protection in Smart Healthcare Systems.
IEEE J. Biomed. Health Informatics, June, 2024
IEEE Netw., March, 2024
A two-stage cross-neighborhood search algorithm bridging different solution representation spaces for solving the hybrid flow shop scheduling problem.
Swarm Evol. Comput., February, 2024
IEEE J. Sel. Areas Commun., February, 2024
Quantitative Determination of the Optimal Scale for the Proportion of Saline-Alkali Patches of Soda Saline-Alkali Land in Northeast China.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
IEEE Geosci. Remote. Sens. Lett., 2024
AAFormer: Attention-Attended Transformer for Semantic Segmentation of Remote Sensing Images.
IEEE Geosci. Remote. Sens. Lett., 2024
J. Chem. Inf. Model., 2024
CoRR, 2024
LlaSMol: Advancing Large Language Models for Chemistry with a Large-Scale, Comprehensive, High-Quality Instruction Tuning Dataset.
CoRR, 2024
Communication-Efficient Personalized Federated Learning for Green Communications in IoMT.
Proceedings of the IEEE International Conference on Communications, 2024
2023
SSCNet: A Spectrum-Space Collaborative Network for Semantic Segmentation of Remote Sensing Images.
Remote. Sens., December, 2023
High-Order Neural-Network-Based Multi-Model Nonlinear Adaptive Decoupling Control for Microclimate Environment of Plant Factory.
Sensors, October, 2023
Freeze-and-mutate: abnormal sample identification for DL applications through model core analysis.
Autom. Softw. Eng., June, 2023
Binding peptide generation for MHC Class I proteins with deep reinforcement learning.
Bioinform., February, 2023
Towards Efficient and Effective Adaptation of Large Language Models for Sequential Recommendation.
CoRR, 2023
CoRR, 2023
T-Cell Receptor Optimization with Reinforcement Learning and Mutation Policies for Precesion Immunotherapy.
CoRR, 2023
T-Cell Receptor Optimization with Reinforcement Learning and Mutation Polices for Precision Immunotherapy.
Proceedings of the Research in Computational Molecular Biology, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Computing Task Orchestration in Communication and Computing Integrated Mobile Network.
Proceedings of the IEEE Globecom Workshops 2023, 2023
Proceedings of the IEEE Global Communications Conference, 2023
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
A Novel Acceleration Method for Crack Computation Using Finite Element Analysis in Eddy Current Testing.
IEEE Trans. Instrum. Meas., 2022
Quantitative Identification of Temporal-Spatial Variations of Urban Heat Island (UHI) Effects in Changchun, China.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022
Reduction of Coil-Crack Angle Sensitivity Effect Using a Novel Flux Feature of ACFM Technique.
Sensors, 2022
Encoding Contextual Information by Interlacing Transformer and Convolution for Remote Sensing Imagery Semantic Segmentation.
Remote. Sens., 2022
Attentively Learning Edge Distributions for Semantic Segmentation of Remote Sensing Imagery.
Remote. Sens., 2022
Int. J. Intell. Syst., 2022
CoRR, 2022
A Comparative Study of non-deep Learning, Deep Learning, and Ensemble Learning Methods for Sunspot Number Prediction.
Appl. Artif. Intell., 2022
mFI-PSO: A Flexible and Effective Method in Adversarial Image Generation for Deep Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2022
2021
Depth Evaluation for Metal Surface Defects by Eddy Current Testing Using Deep Residual Convolutional Neural Networks.
IEEE Trans. Instrum. Meas., 2021
Nat. Mach. Intell., 2021
An efficient shortest path algorithm for content-based routing on 2-D mesh accelerator networks.
Future Gener. Comput. Syst., 2021
IEEE Access, 2021
A data-driven approach to optimize building energy performance and thermal comfort using machine learning models.
Proceedings of the ICCIR 2021: International Conference on Control and Intelligent Robotics, 2021
2020
Sensors, 2020
Int. J. Autom. Technol., 2020
Ranking-based Convolutional Neural Network Models for Peptide-MHC Binding Prediction.
CoRR, 2020
CoRR, 2020
A Remote-Sensing Image Pan-Sharpening Method Based on Multi-Scale Channel Attention Residual Network.
IEEE Access, 2020
A Novel Conductivity Classification Technique for Non-Magnetic Tilting Metals by Eddy Current Sensors.
IEEE Access, 2020
2019
Reproducibility of functional brain alterations in major depressive disorder: Evidence from a multisite resting-state functional MRI study with 1, 434 individuals.
NeuroImage, 2019
Comparing the Estimations of Value-at-Risk Using Artificial Network and Other Methods for Business Sectors.
Proceedings of the Recent Advances in Big Data and Deep Learning, 2019
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2019
Proceedings of the 26th Asia-Pacific Software Engineering Conference, 2019
2018
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018
Proceedings of the 32nd Pacific Asia Conference on Language, Information and Computation, 2018
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018
2017
Proceedings of the 13th International Conference on Natural Computation, 2017
2011
Efficient semiparametric estimation via Cholesky decomposition for longitudinal data.
Comput. Stat. Data Anal., 2011