Yichen Zhou

Orcid: 0000-0002-0596-2087

According to our database1, Yichen Zhou authored at least 44 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A multi-step regularity assessment and joint prediction system for ordering time series based on entropy and deep learning.
Auton. Intell. Syst., December, 2024

Approximation trees: statistical reproducibility in model distillation.
Data Min. Knowl. Discov., September, 2024

MetaFormer Baselines for Vision.
IEEE Trans. Pattern Anal. Mach. Intell., February, 2024

A terpenoids database with the chemical content as a novel agronomic trait.
Database J. Biol. Databases Curation, January, 2024

In-Context Fine-Tuning for Time-Series Foundation Models.
CoRR, 2024

Robustness to Model Approximation, Learning, and Sample Complexity in Wasserstein Regular MDPs.
CoRR, 2024

An adaptive dimension-reduction Chebyshev metamodel.
Adv. Eng. Softw., 2024

Towards Safe and Efficient Last-Mile Delivery: A Multi-Modal Socially Aware Navigation Framework for Autonomous Robots on Pedestrian-Crowded Sidewalks.
Proceedings of the IEEE International Conference on Cybernetics and Intelligent Systems, 2024

A decoder-only foundation model for time-series forecasting.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Dynamic point cloud compression with spatio-temporal transformer-style modeling.
Proceedings of the Data Compression Conference, 2024

2023
Reliability-based design optimization of a car body using dimension- reduced Chebyshev polynomial.
Qual. Reliab. Eng. Int., February, 2023

GCM: Efficient video recognition with glance and combine module.
Pattern Recognit., 2023

Application of a record linkage software to identify mortality of enrolees of large integrated healthcare organisations.
Int. J. Bus. Intell. Data Min., 2023

Generalized Damping Torque Analysis of Ultra-Low Frequency Oscillation in the Jerk Space.
CoRR, 2023

Robust distillation for worst-class performance: on the interplay between teacher and student objectives.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

Traversability Analysis for Unmanned Ground Vehicles Based on Multi-modal Information Fusion.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2023

ViNavUT: Vison Based Navigation System for Unmanned Tractor in Airport.
Proceedings of the IEEE International Conference on Cybernetics and Intelligent Systems, 2023

2022
Boulevard: Regularized Stochastic Gradient Boosted Trees and Their Limiting Distribution.
J. Mach. Learn. Res., 2022

Co-evolution-based parameter learning for remote sensing scene classification.
Int. J. Wavelets Multiresolution Inf. Process., 2022

Decision tree boosted varying coefficient models.
Data Min. Knowl. Discov., 2022

Robust Distillation for Worst-class Performance.
CoRR, 2022

Mugs: A Multi-Granular Self-Supervised Learning Framework.
CoRR, 2022

Inception Transformer.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Multi-Attribute Joint Point Cloud Super-Resolution with Adversarial Feature Graph Networks.
Proceedings of the IEEE International Conference on Multimedia and Expo Workshops, 2022

MetaFormer is Actually What You Need for Vision.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
A Novel Transformers Fault Diagnosis Method Based on Probabilistic Neural Network and Bio-Inspired Optimizer.
Sensors, 2021

Malicious Mode Attack on EV Coordinated Charging Load and MIADRC Defense Strategy.
CoRR, 2021

Preliminary Study on Forced Oscillation of Power System with Quadratic Nonlinearity.
CoRR, 2021

Distilling Double Descent.
CoRR, 2021

2020
Towards Accurate Human Pose Estimation in Videos of Crowded Scenes.
CoRR, 2020

A Simple Baseline for Pose Tracking in Videos of Crowded Scenes.
CoRR, 2020

Toward Accurate Person-level Action Recognition in Videos of Crowded Scenes.
CoRR, 2020

ID Preserving Face Super-Resolution Generative Adversarial Networks.
IEEE Access, 2020

Approximate Heavily-Constrained Learning with Lagrange Multiplier Models.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Toward Accurate Person-level Action Recognition in Videos of Crowed Scenes.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Towards Accurate Human Pose Estimation in Videos of Crowded Scenes.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

A Simple Baseline for Pose Tracking in Videos of Crowed Scenes.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

2019
Toward Expressive Multi-Platform Teleoperation: Laban-Inspired Concurrent Operation of Multiple Joints on the Rethink Robotics Baxter Robot in Static and Dynamic Tasks.
Proceedings of the 6th International Conference on Movement and Computing, 2019

2018
A Deep-Learning-Based Fashion Attributes Detection Model.
CoRR, 2018

Approximation Trees: Statistical Stability in Model Distillation.
CoRR, 2018

2017
A Data-driven Process Recommender Framework.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Semi-Synthetic Trauma Resuscitation Process Data Generator.
Proceedings of the 2017 IEEE International Conference on Healthcare Informatics, 2017

2015
Multivariate Time Series Classification Using Dynamic Time Warping Template Selection for Human Activity Recognition.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

2011
Seismic Wave Propagation Simulation Using Accelerated Support Operator Rupture Dynamics on Multi-GPU.
Proceedings of the 14th IEEE International Conference on Computational Science and Engineering, 2011


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