Tianshu Chu
Orcid: 0009-0005-7485-3967
According to our database1,
Tianshu Chu
authored at least 49 papers
between 2009 and 2024.
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Bibliography
2024
Energy-Efficient Power Control for Multiple-Task Split Inference in UAVs: A Tiny Learning-Based Approach.
IEEE Internet Things J., June, 2024
Improving the Post-Training Neural Network Quantization by Prepositive Feature Quantization.
IEEE Trans. Circuits Syst. Video Technol., April, 2024
Eliminating Contextual Prior Bias for Semantic Image Editing via Dual-Cycle Diffusion.
IEEE Trans. Circuits Syst. Video Technol., February, 2024
A similarity calculation model of road network and its application in map generalization quality evaluation.
Spatial Cogn. Comput., January, 2024
Privacy Checklist: Privacy Violation Detection Grounding on Contextual Integrity Theory.
CoRR, 2024
SPABA: A Single-Loop and Probabilistic Stochastic Bilevel Algorithm Achieving Optimal Sample Complexity.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Predicting Depression and Anxiety: A Multi-Layer Perceptron for Analyzing the Mental Health Impact of COVID-19.
Proceedings of the 2024 8th International Conference on Medical and Health Informatics, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
Improving the adversarial robustness of quantized neural networks via exploiting the feature diversity.
Pattern Recognit. Lett., December, 2023
CoRR, 2023
IEEE Access, 2023
2022
2021
SOSPCNN: Structurally Optimized Stochastic Pooling Convolutional Neural Network for Tetralogy of Fallot Recognition.
Wirel. Commun. Mob. Comput., 2021
Pattern Recognit., 2021
Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
2020
IEEE Trans. Intell. Transp. Syst., 2020
CoRR, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Proceedings of the 2020 IEEE Conference on Control Technology and Applications, 2020
2019
Mixed-Precision Quantized Neural Network with Progressively Decreasing Bitwidth For Image Classification and Object Detection.
CoRR, 2019
Proceedings of the 2019 IEEE International Conference on Robotics and Biomimetics, 2019
AFM Calibration of Nano-friction through Estimating Meniscus Water Membrane Contour between Single Polystyrene Nano-particle and Silicon Surface.
Proceedings of the 2019 IEEE International Conference on Robotics and Biomimetics, 2019
Large-scale traffic control using autonomous vehicles and decentralized deep reinforcement learning.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
Dynamics-Enabled Safe Deep Reinforcement Learning: Case Study on Active Suspension Control.
Proceedings of the 2019 IEEE Conference on Control Technology and Applications, 2019
2018
Training Drift Counteraction Optimal Control Policies Using Reinforcement Learning: An Adaptive Cruise Control Example.
IEEE Trans. Intell. Transp. Syst., 2018
Knowledge source strategy and enterprise innovation performance: dynamic analysis based on machine learning.
Technol. Anal. Strateg. Manag., 2018
Neural Networks Meet Physical Networks: Distributed Inference Between Edge Devices and the Cloud.
Proceedings of the 17th ACM Workshop on Hot Topics in Networks, 2018
Supporting Chinese Character Educational Interfaces with Richer Assessment Feedback through Sketch Recognition.
Proceedings of the 44th Graphics Interface Conference, Toronto, Canada, May 8-11, 2018., 2018
Safe Reinforcement Learning: Learning with Supervision Using a Constraint-Admissible Set.
Proceedings of the 2018 Annual American Control Conference, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Traffic signal control by distributed Reinforcement Learning with min-sum communication.
Proceedings of the 2017 American Control Conference, 2017
2016
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, 2016
Large-Scale Traffic Grid Signal Control Using Decentralized Fuzzy Reinforcement Learning.
Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016, 2016
Large-scale multi-agent reinforcement learning using image-based state representation.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
Proceedings of the 2016 American Control Conference, 2016
2015
A centralized reinforcement learning approach for proactive scheduling in manufacturing.
Proceedings of the 20th IEEE Conference on Emerging Technologies & Factory Automation, 2015
Proceedings of the American Control Conference, 2015
2014
Kernel-based reinforcement learning for traffic signal control with adaptive feature selection.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014
Comuptional reasoning and learning for smart manufacturing under realistic conditions.
Proceedings of the 2014 International Conference on Behavioral, 2014
2012
Proceedings of the 2012 International Conference on Cloud and Service Computing, 2012
2010
J. Zhejiang Univ. Sci. C, 2010
Quantum mechanics and quasiclassical study of the H/D+FO -> OH/OD+F, HF/DF+O reactions: Chemical stereodynamics.
J. Comput. Chem., 2010
Proceedings of the Algorithms and Architectures for Parallel Processing, 2010
Proceedings of the Algorithms and Architectures for Parallel Processing, 2010
A Novel Scheme for High Performance Finite-Difference Time-Domain (FDTD) Computations Based on GPU.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2010
2009
Proceedings of the IEEE 6th International Conference on Mobile Adhoc and Sensor Systems, 2009