Convergence rate and exponential stability of backward Euler method for neutral stochastic delay differential equations under generalized monotonicity conditions.

[BibT_eX]

[DOI]

Jingjing Cai

Ziheng Chen

Yuanling Niu

CoRR, 2024

Stochastic theta methods for random periodic solution of stochastic differential equations under non-globally Lipschitz conditions.

[BibT_eX]

[DOI]

Ziheng Chen

Liangmin Cao

Lin Chen

CoRR, 2024

Research on Autonomous Navigation of Dual-mode Wheel-legged Robot.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

A Grassmannian Manifold Self-Attention Network for Signal Classification.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

A Lie Group Approach to Riemannian Batch Normalization.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

iPrism: Characterize and Mitigate Risk by Quantifying Change in Escape Routes.

[BibT_eX]

[DOI]

Shengkun Cui

Saurabh Jha

Ziheng Chen

Zbigniew T. Kalbarczvk

Ravishankar K. Iyer

Proceedings of the 54th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2024

Riemannian Multinomial Logistics Regression for SPD Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

GlobalAP: Global average precision optimization for person re-identification.

[BibT_eX]

[DOI]

Pattern Recognit., October, 2023

Hybrid Riemannian Graph-Embedding Metric Learning for Image Set Classification.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, February, 2023

Scalable Affine Multi-view Subspace Clustering.

[BibT_eX]

[DOI]

Neural Process. Lett., 2023

Strong and weak convergence rates of logarithmic transformed truncated EM methods for SDEs with positive solutions.

[BibT_eX]

[DOI]

Ziyi Lei

Siqing Gan

Ziheng Chen

J. Comput. Appl. Math., 2023

Riemannian Multiclass Logistics Regression for SPD Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2023

Adaptive Riemannian Metrics on SPD Manifolds.

[BibT_eX]

[DOI]

CoRR, 2023

The Dark Side of Explanations: Poisoning Recommender Systems with Counterfactual Examples.

[BibT_eX]

[DOI]

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Visual Servoing Control Method of 3D Robot Based on 3D Point Cloud Processing.

[BibT_eX]

[DOI]

Proceedings of the 2023 3rd International Conference on Robotics and Control Engineering, 2023

Riemannian Local Mechanism for SPD Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Learning a discriminative SPD manifold neural network for image set classification.

[BibT_eX]

[DOI]

Neural Networks, 2022

LRHW-AP: Using ranking-based metric as loss for Person Re-Identification.

[BibT_eX]

[DOI]

Yifei Liu

Yaling Liang

Ziheng Chen

J. Vis. Commun. Image Represent., 2022

Novel Strong-PUF-Based Authentication Protocols Leveraging Shamir's Secret Sharing.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2022

VecLI: A framework for calculating vector landscape indices considering landscape fragmentation.

[BibT_eX]

[DOI]

Environ. Model. Softw., 2022

GREASE: Generate Factual and Counterfactual Explanations for GNN-based Recommendations.

[BibT_eX]

[DOI]

CoRR, 2022

DreamNet: A Deep Riemannian Network based on SPD Manifold Learning for Visual Classification.

[BibT_eX]

[DOI]

CoRR, 2022

RLOP: RL Methods in Option Pricing from a Mathematical Perspective.

[BibT_eX]

[DOI]

Ziheng Chen

CoRR, 2022

MSNet: A Deep Multi-scale Submanifold Network for Visual Classification.

[BibT_eX]

[DOI]

CoRR, 2022

Harnessing semantic segmentation masks for accurate facial attribute editing.

[BibT_eX]

[DOI]

Concurr. Comput. Pract. Exp., 2022

ReLAX: Reinforcement Learning Agent Explainer for Arbitrary Predictive Models.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

AdaLoGN: Adaptive Logic Graph Network for Reasoning-Based Machine Reading Comprehension.

[BibT_eX]

[DOI]

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

DreamNet: A Deep Riemannian Manifold Network for SPD Matrix Learning.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ACCV 2022, 2022

2021

ReLACE: Reinforcement Learning Agent for Counterfactual Explanations of Arbitrary Predictive Models.

[BibT_eX]

[DOI]

CoRR, 2021

Large deviations principles of sample paths and invariant measures of numerical methods for parabolic SPDEs.

[BibT_eX]

[DOI]

CoRR, 2021

Multi-label text classification with latent word-wise label information.

[BibT_eX]

[DOI]

Ziheng Chen

Jiangtao Ren

Appl. Intell., 2021

Compensated projected Euler-Maruyama method for stochastic differential equations with superlinear jumps.

[BibT_eX]

[DOI]

Min Li

Chengming Huang

Ziheng Chen

Appl. Math. Comput., 2021

CKGG: A Chinese Knowledge Graph for High-School Geography Education and Beyond.

[BibT_eX]

[DOI]

Proceedings of the Semantic Web - ISWC 2021 - 20th International Semantic Web Conference, 2021

Costly Features Classification using Monte Carlo Tree Search.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

DeepPursuit: Uniting Classical Wisdom and Deep RL for Sparse Recovery.

[BibT_eX]

[DOI]

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020

The Bayesian inversion problem for thermal average sampling of quantum systems.

[BibT_eX]

[DOI]

Ziheng Chen

Zhennan Zhou

J. Comput. Phys., 2020

Convergence and stability of the backward Euler method for jump-diffusion SDEs with super-linearly growing diffusion and jump coefficients.

[BibT_eX]

[DOI]

Ziheng Chen

Siqing Gan

J. Comput. Appl. Math., 2020

Item Response Theory Based Ensemble in Machine Learning.

[BibT_eX]

[DOI]

Ziheng Chen

Hongshik Ahn

Int. J. Autom. Comput., 2020

CLUE: A Fast Parallel Clustering Algorithm for High Granularity Calorimeters in High-Energy Physics.

[BibT_eX]

[DOI]

Frontiers Big Data, 2020

Hospital readmission prediction based on long-term and short-term information fusion.

[BibT_eX]

[DOI]

Ziheng Chen

Chaojie Lai

Jiangtao Ren

Appl. Soft Comput., 2020

BDARS_CapsNet: Bi-Directional Attention Routing Sausage Capsule Network.

[BibT_eX]

[DOI]

IEEE Access, 2020

Enhancing Question Answering over Knowledge Base Using Dynamical Relation Reasoning.

[BibT_eX]

[DOI]

Liao Cheng

Ziheng Chen

Jiangtao Ren

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

Short Text Embedding for Clustering Based on Word and Topic Semantic Information.

[BibT_eX]

[DOI]

Ziheng Chen

Jiangtao Ren

Proceedings of the 2019 IEEE International Conference on Data Science and Advanced Analytics, 2019

Ziheng Chen

Known people with the same name:

Bibliography

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