Jieyu Zhao

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

2025
The Hallucination Tax of Reinforcement Finetuning.
CoRR, May, 2025

Detecting and Filtering Unsafe Training Data via Data Attribution.
CoRR, February, 2025

A Novel SO(3) Rotational Equivariant Masked Autoencoder for 3D Mesh Object Analysis.
IEEE Trans. Circuits Syst. Video Technol., January, 2025

Do Not Design, Learn: A Trainable Scoring Function for Uncertainty Estimation in Generative LLMs.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

Hardware-Optimized RNN Detection for Insertion/Deletion Channels in Wireless Communication.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2025

2024
Rotation-equivariant spherical vector networks for objects recognition with unknown poses.
Vis. Comput., March, 2024

GDUI: Guided Diffusion Model for Unlabeled Images.
Algorithms, March, 2024

Self-supervised rotation-equivariant spherical vector network for learning canonical 3D point cloud orientation.
Eng. Appl. Artif. Intell., 2024

Safer-Instruct: Aligning Language Models with Automated Preference Data.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

A Vulnerability Propagation Impact Analysis Approach Based on Code Semantics with LLM.
Proceedings of the 11th International Conference on Dependable Systems and Their Applications, 2024

2023
Multi-Level Implicit Function for Detailed Human Reconstruction by Relaxing SMPL Constraints.
Comput. Graph. Forum, October, 2023

3D Mesh classification and panoramic image segmentation using spherical vector networks with rotation-equivariant self-attention mechanism.
J. King Saud Univ. Comput. Inf. Sci., May, 2023

MixFormer: A Self-Attentive Convolutional Network for 3D Mesh Object Recognition.
Algorithms, March, 2023

2022
3D mesh transformer: A hierarchical neural network with local shape tokens.
Neurocomputing, 2022

A Contrastive Learning Method for the Visual Representation of 3D Point Clouds.
Algorithms, 2022

2021
Building Accountable Natural Language Processing Models: on Social Bias Detection and Mitigation.
PhD thesis, 2021

2020
Short-Term Temporal Convolutional Networks for Dynamic Hand Gesture Recognition.
CoRR, 2020

2019
Transferring Common Spatial Filters With Semi-Supervised Learning for Zero-Training Motor Imagery Brain-Computer Interface.
IEEE Access, 2019

2018
Efficient spectral reconstruction using a trichromatic camera via sample optimization.
Vis. Comput., 2018

Locally Linear Embedded Sparse Coding for Spectral Reconstruction From RGB Images.
IEEE Signal Process. Lett., 2018

Practical Radiometric Compensation for Projection Display on Textured Surfaces using a Multidimensional Model.
Comput. Graph. Forum, 2018

2017
A hand gesture recognition system based on canonical superpixel-graph.
Signal Process. Image Commun., 2017

Hierarchical non-parametric Markov random field for image segmentation.
IET Comput. Vis., 2017

Parallel algorithms for anomalous subgraph detection.
Concurr. Comput. Pract. Exp., 2017

2016
Hand gesture recognition based on canonical formed superpixel earth mover's distance.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2016

2015
iMIG: Toward an Adaptive Live Migration Method for KVM Virtual Machines.
Comput. J., 2015

2014
Swendsen-Wang Cuts sampling for spatially constrained Dirichlet process mixture models.
Graph. Model., 2014

SyncSnap: Synchronized Live Memory Snapshots of Virtual Machine Networks.
Proceedings of the 2014 IEEE International Conference on High Performance Computing and Communications, 2014

2012
Segmentation of depth image using graph cut.
Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012

Facial feature extraction with a depth AAM algorithm.
Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012

2011
Graph matching based a probabilistic spectral method.
Proceedings of the Seventh International Conference on Natural Computation, 2011

A polynomial-time algorithm for image segmentation using Ising models.
Proceedings of the Seventh International Conference on Natural Computation, 2011

Spatio-temporal video object segmentation using moving detection and graph cut methods.
Proceedings of the Seventh International Conference on Natural Computation, 2011

2010
Curvelet feature extraction for face recognition and facial expression recognition.
Proceedings of the Sixth International Conference on Natural Computation, 2010

Emotion generation for virtual human using Cognitive Map.
Proceedings of the Sixth International Conference on Natural Computation, 2010

A Chinese question-answering system with question classification and answer clustering.
Proceedings of the Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010

2009
Using a Robust Active Appearance Model for Face Processing.
Proceedings of the First IITA International Joint Conference on Artificial Intelligence, 2009

Bayesian Visual Inference and Attention.
Proceedings of the First IITA International Joint Conference on Artificial Intelligence, 2009

MRF Energy Minimization for Unsupervised Image Segmentation.
Proceedings of the Fifth International Conference on Natural Computation, 2009

Facial Feature Points Extraction.
Proceedings of the Fifth International Conference on Image and Graphics, 2009

A Novel Approach to Object/Background Segmentation Based on the Probabilistic Graphical Model.
Proceedings of the Fifth International Conference on Image and Graphics, 2009

2008
Live facial feature extraction.
Sci. China Ser. F Inf. Sci., 2008

Image Segmentation Using Improved Potts Model.
Proceedings of the Fourth International Conference on Natural Computation, 2008

Interactive Image Segmentation with Conditional Random Fields.
Proceedings of the Fourth International Conference on Natural Computation, 2008

Interactive image segmentation via multi-cue dynamic integration.
Proceedings of the International Conference on Image Processing, 2008

Medical Image Retrieval Based on Latent Semantic Indexing.
Proceedings of the International Conference on Computer Science and Software Engineering, 2008

2007
Iterative unit selection with unnatural prosody detection.
Proceedings of the 8th Annual Conference of the International Speech Communication Association, 2007

Video Object Segmentation with a Potts Model.
Proceedings of the Third International Conference on Natural Computation, 2007

2005
Dynamic Background Discrimination with a Recurrent Network.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

A Novel Fuzzy-Connectedness-Based Incremental Clustering Algorithm for Large Databases.
Proceedings of the Fuzzy Systems and Knowledge Discovery, Second International Conference, 2005

2004
Segmenting Moving Objects with a Recurrent Stochastic Neural Network.
Proceedings of the Neural Information Processing, 11th International Conference, 2004

2001
A recurrent stochastic binary network.
Sci. China Ser. F Inf. Sci., 2001

1998
Reinforcement Learning with Self-Modifying Policies.
Proceedings of the Learning to Learn., 1998

1997
Shifting Inductive Bias with Success-Story Algorithm, Adaptive Levin Search, and Incremental Self-Improvement.
Mach. Learn., 1997

1996
Learning in Stochastic Bit Stream Neural Networks.
Neural Networks, 1996

A recurrent network with stochastic weights.
Proceedings of International Conference on Neural Networks (ICNN'96), 1996

Multi-Agent Learning with the Success-Story Algorithm.
Proceedings of the Distributed Artificial Intelligence Meets Machine Learning, 1996

1995
Generalisation of A Class of Continuous Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 8, 1995


  Loading...