Yikai 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:

Bibliography

2024
Enhanced performance of EEG-based brain-computer interfaces by joint sample and feature importance assessment.
Health Inf. Sci. Syst., December, 2024

Dissecting Human and LLM Preferences.
CoRR, 2024

TimeArena: Shaping Efficient Multitasking Language Agents in a Time-Aware Simulation.
CoRR, 2024

Extending LLMs' Context Window with 100 Samples.
CoRR, 2024

2023
In-situ monitoring laser based directed energy deposition process with deep convolutional neural network.
J. Intell. Manuf., February, 2023

Learning to Abstain From Uninformative Data.
CoRR, 2023

Can Large Language Models Understand Real-World Complex Instructions?
CoRR, 2023

Beyond the Obvious: Evaluating the Reasoning Ability In Real-life Scenarios of Language Models on Life Scapes Reasoning Benchmark~(LSR-Benchmark).
CoRR, 2023

C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Topology-Aware Uncertainty for Image Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Provably Convergent Schrödinger Bridge with Applications to Probabilistic Time Series Imputation.
Proceedings of the International Conference on Machine Learning, 2023

Learning to Segment from Noisy Annotations: A Spatial Correction Approach.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Risk Bounds on Aleatoric Uncertainty Recovery.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

HAUSER: Towards Holistic and Automatic Evaluation of Simile Generation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Algorithm 1024: Spherical Triangle Algorithm: A Fast Oracle for Convex Hull Membership Queries.
ACM Trans. Math. Softw., 2022

An Auto-Weighting Incremental Random Vector Functional Link Network for EEG-Based Driving Fatigue Detection.
IEEE Trans. Instrum. Meas., 2022

S<sup>3</sup>LRR: A Unified Model for Joint Discriminative Subspace Identification and Semisupervised EEG Emotion Recognition.
IEEE Trans. Instrum. Meas., 2022

A Novel Defect Inspection System Using Convolutional Neural Network for MEMS Pressure Sensors.
J. Imaging, 2022

On the Convergence of Optimizing Persistent-Homology-Based Losses.
CoRR, 2022

A Manifold View of Adversarial Risk.
CoRR, 2022

Stability of SGD: Tightness analysis and improved bounds.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

Intelligent Balance Vehicle for Medical Nucleic Acid Collection Based on Path Planning.
Proceedings of the 5th International Conference on Information Technologies and Electrical Engineering, 2022

A Manifold View of Adversarial Risk.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Point cloud modeling and slicing algorithm for trajectory planning of spray painting robot.
Robotica, 2021

Auto-weighted concept factorization for joint feature map and data representation learning.
J. Intell. Fuzzy Syst., 2021

Training Federated GANs with Theoretical Guarantees: A Universal Aggregation Approach.
CoRR, 2021

Database-Assisted 3D Reconstruction and Printing of a Mechanical Key From a Single Photograph.
IEEE Access, 2021

Topological Detection of Trojaned Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning with Feature-Dependent Label Noise: A Progressive Approach.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
Multi-modal AsynDGAN: Learn From Distributed Medical Image Data without Sharing Private Information.
CoRR, 2020

A Geometric Algorithm for Solving Linear Systems.
CoRR, 2020

Robust vertex enumeration for convex hulls in high dimensions.
Ann. Oper. Res., 2020

Learn Distributed GAN with Temporary Discriminators.
Proceedings of the Computer Vision - ECCV 2020, 2020

Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Local Regularizer Improves Generalization.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Taming the Noisy Gradient: Train Deep Neural Networks with Small Batch Sizes.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019


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