Ziheng Chen
Orcid: 0000-0002-5366-7293
According to our database1,
Ziheng Chen
authored at least 44 papers
between 2019 and 2024.
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Bibliography
2024
IEEE Trans. Neural Networks Learn. Syst., July, 2024
Explain the Explainer: Interpreting Model-Agnostic Counterfactual Explanations of a Deep Reinforcement Learning Agent.
IEEE Trans. Artif. Intell., April, 2024
Scene Classification Method Based on Multi-Scale Convolutional Neural Network with Long Short-Term Memory and Whale Optimization Algorithm.
Remote. Sens., January, 2024
Understanding Matrix Function Normalizations in Covariance Pooling through the Lens of Riemannian Geometry.
CoRR, 2024
Convergence rate and exponential stability of backward Euler method for neutral stochastic delay differential equations under generalized monotonicity conditions.
CoRR, 2024
Stochastic theta methods for random periodic solution of stochastic differential equations under non-globally Lipschitz conditions.
CoRR, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
2023
Pattern Recognit., October, 2023
IEEE Trans. Big Data, February, 2023
Strong and weak convergence rates of logarithmic transformed truncated EM methods for SDEs with positive solutions.
J. Comput. Appl. Math., 2023
The Dark Side of Explanations: Poisoning Recommender Systems with Counterfactual Examples.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Proceedings of the 2023 3rd International Conference on Robotics and Control Engineering, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Neural Networks, 2022
J. Vis. Commun. Image Represent., 2022
IEEE Internet Things J., 2022
VecLI: A framework for calculating vector landscape indices considering landscape fragmentation.
Environ. Model. Softw., 2022
GREASE: Generate Factual and Counterfactual Explanations for GNN-based Recommendations.
CoRR, 2022
DreamNet: A Deep Riemannian Network based on SPD Manifold Learning for Visual Classification.
CoRR, 2022
Concurr. Comput. Pract. Exp., 2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
AdaLoGN: Adaptive Logic Graph Network for Reasoning-Based Machine Reading Comprehension.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
Proceedings of the Computer Vision - ACCV 2022, 2022
2021
ReLACE: Reinforcement Learning Agent for Counterfactual Explanations of Arbitrary Predictive Models.
CoRR, 2021
Large deviations principles of sample paths and invariant measures of numerical methods for parabolic SPDEs.
CoRR, 2021
Appl. Intell., 2021
Compensated projected Euler-Maruyama method for stochastic differential equations with superlinear jumps.
Appl. Math. Comput., 2021
Proceedings of the Semantic Web - ISWC 2021 - 20th International Semantic Web Conference, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021
2020
J. Comput. Phys., 2020
Convergence and stability of the backward Euler method for jump-diffusion SDEs with super-linearly growing diffusion and jump coefficients.
J. Comput. Appl. Math., 2020
Int. J. Autom. Comput., 2020
CLUE: A Fast Parallel Clustering Algorithm for High Granularity Calorimeters in High-Energy Physics.
Frontiers Big Data, 2020
Hospital readmission prediction based on long-term and short-term information fusion.
Appl. Soft Comput., 2020
IEEE Access, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
2019
Proceedings of the 2019 IEEE International Conference on Data Science and Advanced Analytics, 2019