Ziheng Chen

According to our database, Ziheng Chen authored at least 42 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Explain the Explainer: Interpreting Model-Agnostic Counterfactual Explanations of a Deep Reinforcement Learning Agent.

Ziheng Chen, Fabrizio Silvestri, Gabriele Tolomei, Jia Wang, He Zhu, Hongshik Ahn

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.

Yingying Ran, Xiaobin Xu, Minzhou Luo, Jian Yang, Ziheng Chen

Remote. Sens., January, 2024

A Lie Group Approach to Riemannian Batch Normalization.

Ziheng Chen, Yue Song, Yunmei Liu, Nicu Sebe

CoRR, 2024

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

Jingjing Cai, Ziheng Chen, Yuanling Niu

CoRR, 2024

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

Ziheng Chen, Liangmin Cao, Lin Chen

CoRR, 2024

2023

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

Yifei Liu, Yaling Liang, Pengfei Wang, Ziheng Chen, Changxing Ding

Pattern Recognit., October, 2023

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

Ziheng Chen, Tianyang Xu, Xiaojun Wu, Rui Wang, Josef Kittler

IEEE Trans. Big Data, February, 2023

Scalable Affine Multi-view Subspace Clustering.

Wanrong Yu, Xiao-Jun Wu, Tianyang Xu, Ziheng Chen, Josef Kittler

Neural Process. Lett., 2023

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

Ziyi Lei, Siqing Gan, Ziheng Chen

J. Comput. Appl. Math., 2023

Riemannian Multiclass Logistics Regression for SPD Neural Networks.

Ziheng Chen, Yue Song, Gaowen Liu, Ramana Rao Kompella, Xiaojun Wu, Nicu Sebe

CoRR, 2023

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

Ziheng Chen, Fabrizio Silvestri, Jia Wang, Yongfeng Zhang, Gabriele Tolomei

CoRR, 2023

Adaptive Riemannian Metrics on SPD Manifolds.

Ziheng Chen, Tianyang Xu, Zhiwu Huang, Yue Song, Xiao-Jun Wu, Nicu Sebe

CoRR, 2023

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

Ziheng Chen, Fabrizio Silvestri, Jia Wang, Yongfeng Zhang, Gabriele Tolomei

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.

Wen Wang, Xiaobin Xu, Ziheng Chen, Zhiqiang Zhang, Haojie Zhang, Zhiying Tan

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

Riemannian Local Mechanism for SPD Neural Networks.

Ziheng Chen, Tianyang Xu, Xiao-Jun Wu, Rui Wang, Zhiwu Huang, Josef Kittler

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

2022

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

Rui Wang, Xiaojun Wu, Ziheng Chen, Tianyang Xu, Josef Kittler

Neural Networks, 2022

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

Yifei Liu, Yaling Liang, Ziheng Chen

J. Vis. Commun. Image Represent., 2022

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

Shuai Chen, Bing Li, Ziheng Chen, Yan Zhang, Caicai Wang, Tao Cheng

IEEE Internet Things J., 2022

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

Yao Yao, Tao Cheng, Zhenhui Sun, Linlong Li, Dongsheng Chen, Ziheng Chen, Jianglin Wei, Qingfeng Guan

Environ. Model. Softw., 2022

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

Ziheng Chen, Fabrizio Silvestri, Jia Wang, Yongfeng Zhang, Zhenhua Huang, Hongshik Ahn, Gabriele Tolomei

CoRR, 2022

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

Rui Wang, Xiao-Jun Wu, Ziheng Chen, Tianyang Xu, Josef Kittler

CoRR, 2022

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

Ziheng Chen

CoRR, 2022

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

Ziheng Chen, Xiao-Jun Wu, Tianyang Xu, Rui Wang, Zhiwu Huang, Josef Kittler

CoRR, 2022

Harnessing semantic segmentation masks for accurate facial attribute editing.

Peng Chen, Qi Xiao, Jian Xu, Xiaoli Dong, Linjun Sun, Weijun Li, Xin Ning, Guojun Wang, Ziheng Chen

Concurr. Comput. Pract. Exp., 2022

ReLAX: Reinforcement Learning Agent Explainer for Arbitrary Predictive Models.

Ziheng Chen, Fabrizio Silvestri, Jia Wang, He Zhu, Hongshik Ahn, Gabriele Tolomei

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

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

Xiao Li, Gong Cheng, Ziheng Chen, Yawei Sun, Yuzhong Qu

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.

Rui Wang, Xiaojun Wu, Ziheng Chen, Tianyang Xu, Josef Kittler

Proceedings of the Computer Vision - ACCV 2022, 2022

2021

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

Ziheng Chen, Fabrizio Silvestri, Gabriele Tolomei, He Zhu, Jia Wang, Hongshik Ahn

CoRR, 2021

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

Chuchu Chen, Ziheng Chen, Jialin Hong, Diancong Jin

CoRR, 2021

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

Ziheng Chen, Jiangtao Ren

Appl. Intell., 2021

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

Min Li, Chengming Huang, Ziheng Chen

Appl. Math. Comput., 2021

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

Yulin Shen, Ziheng Chen, Gong Cheng, Yuzhong Qu

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

Costly Features Classification using Monte Carlo Tree Search.

Ziheng Chen, Jin Huang, Hongshik Ahn, Xin Ning

Proceedings of the International Joint Conference on Neural Networks, 2021

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

Ziheng Chen, Sichen Zhong, Jianshu Chen, Yue Zhao

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

2020

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

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.

Ziheng Chen, Siqing Gan

J. Comput. Appl. Math., 2020

Item Response Theory Based Ensemble in Machine Learning.

Ziheng Chen, Hongshik Ahn

Int. J. Autom. Comput., 2020

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

Marco Rovere, Ziheng Chen, Antonio Di Pilato, Felice Pantaleo, Chris Seez

Frontiers Big Data, 2020

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

Ziheng Chen, Chaojie Lai, Jiangtao Ren

Appl. Soft Comput., 2020

BDARS_CapsNet: Bi-Directional Attention Routing Sausage Capsule Network.

Xin Ning, Weijuan Tian, Weijun Li, Yueyue Lu, Shuai Nie, Linjun Sun, Ziheng Chen

IEEE Access, 2020

Enhancing Question Answering over Knowledge Base Using Dynamical Relation Reasoning.

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.

Ziheng Chen, Jiangtao Ren

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