Tianhao Zhang
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
Known people with the same name:
- Tianhao Zhang 001 (University of California Berkeley, CA, USA)
- Tianhao Zhang 002 (Shanghai Jiaotong University, Shanghai, China)
- Tianhao Zhang 003 (University of Sheffield, UK)
- Tianhao Zhang 004 (University of California at Los Angeles, Los Angeles, CA, USA)
Bibliography
2024
IEEE Trans. Neural Networks Learn. Syst., March, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
SENSE: An unsupervised semantic learning model for cross-platform vulnerability search.
Comput. Secur., December, 2023
TCLN: A Transformer-based Conv-LSTM network for multivariate time series forecasting.
Appl. Intell., December, 2023
Deep reinforcement learning-based edge computing offloading algorithm for software-defined IoT.
Comput. Networks, November, 2023
J. Intell. Fuzzy Syst., October, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the IEEE 3rd International Conference on Digital Twins and Parallel Intelligence, 2023
2022
Learning for Attitude Holding of a Robotic Fish: An End-to-End Approach With Sim-to-Real Transfer.
IEEE Trans. Robotics, 2022
From Simulation to Reality: A Learning Framework for Fish-Like Robots to Perform Control Tasks.
IEEE Trans. Robotics, 2022
CoRR, 2022
Brain Connect., 2022
Site Selection of New PM2.5 Mobile Monitoring Station Based on Ordinary Kriging Interpolation.
Proceedings of the 29th International Conference on Geoinformatics, 2022
2021
Toward Coordination Control of Multiple Fish-Like Robots: Real-Time Vision-Based Pose Estimation and Tracking via Deep Neural Networks.
IEEE CAA J. Autom. Sinica, 2021
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Decentralized Circle Formation Control for Fish-like Robots in the Real-world via Reinforcement Learning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Proceedings of the 7th IEEE International Conference on Network Intelligence and Digital Content, 2021
FOP: Factorizing Optimal Joint Policy of Maximum-Entropy Multi-Agent Reinforcement Learning.
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
Charge-Aware Duty Cycling Methods for Wireless Systems under Energy Harvesting Heterogeneity.
ACM Trans. Sens. Networks, 2020
IEEE Trans. Circuits Syst. Video Technol., 2020
Int. J. Comput. Vis., 2020
Stacking Networks Dynamically for Image Restoration Based on the Plug-and-Play Framework.
Proceedings of the Computer Vision - ECCV 2020, 2020
2019
Modular architecture of metabolic brain network and its effects on the spread of perturbation impact.
NeuroImage, 2019
Early detection of tomato spotted wilt virus infection in tobacco using the hyperspectral imaging technique and machine learning algorithms.
Comput. Electron. Agric., 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
2018
Diagnostic Visualization for Deep Neural Networks Using Stochastic Gradient Langevin Dynamics.
CoRR, 2018
Proceedings of the 4th International Conference on Big Data Computing and Communications, 2018
2017
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017
2015
Proceedings of the 5th ACM on International Conference on Multimedia Retrieval, 2015
Classification of MRI under the Presence of Disease Heterogeneity using Multi-Task Learning: Application to Bipolar Disorder.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
2013
Optimally-Discriminative Voxel-Based Morphometry significantly increases the ability to detect group differences in schizophrenia, mild cognitive impairment, and Alzheimer's disease.
NeuroImage, 2013
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013
2012
Proceedings of the Second International Workshop on Pattern Recognition in NeuroImaging, 2012
2011
IEEE Trans. Medical Imaging, 2011
Quantitative calculation of human melatonin suppression induced by inappropriate light at night.
Medical Biol. Eng. Comput., 2011
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
2010
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
2008
Proceedings of the International Joint Conference on Neural Networks, 2008
2004
Behavioral modeling and performance evaluation of microelectrofluidics-based PCR systems using SystemC.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2004
2002
Design of reconfigurable composite microsystems based on hardware/software codesign principles.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2002