Ziheng Chen

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 51

Top Topics

Metric Learning

Image Set Classification

Top Venues

J. Comput. Appl. Math.

Publications

Ziheng Chen, Liangmin Cao, Lin Chen
Stochastic theta methods for random periodic solution of stochastic differential equations under non-globally Lipschitz conditions. CoRR (2024)
Ziheng Chen, Yue Song, Yunmei Liu, Nicu Sebe
A Lie Group Approach to Riemannian Batch Normalization. ICLR (2024)
Rui Wang, Xiaojun Wu, Ziheng Chen, Cong Hu, Josef Kittler
SPD Manifold Deep Metric Learning for Image Set Classification. IEEE Trans. Neural Networks Learn. Syst. 35 (7) (2024)
Jingjing Cai, Ziheng Chen, Yuanling Niu
Convergence rate and exponential stability of backward Euler method for neutral stochastic delay differential equations under generalized monotonicity conditions. CoRR (2024)
Ziheng Chen, Yue Song, Xiaojun Wu, Gaowen Liu, Nicu Sebe
Understanding Matrix Function Normalizations in Covariance Pooling through the Lens of Riemannian Geometry. CoRR (2024)
Ziheng Chen, Yue Song, Xiao-Jun Wu, Nicu Sebe
Product Geometries on Cholesky Manifolds with Applications to SPD Manifolds. CoRR (2024)
Yingying Ran, Xiaobin Xu, Minzhou Luo, Jian Yang, Ziheng Chen
Scene Classification Method Based on Multi-Scale Convolutional Neural Network with Long Short-Term Memory and Whale Optimization Algorithm. Remote. Sens. 16 (1) (2024)
Ziheng Chen, Jia Wang, Jun Zhuang, Abbavaram Gowtham Reddy, Fabrizio Silvestri, Jin Huang, Kaushiki Nag, Kun Kuang, Xin Ning, Gabriele Tolomei
Debiasing Machine Unlearning with Counterfactual Examples. CoRR (2024)
Ziheng Chen, Fabrizio Silvestri, Gabriele Tolomei, Jia Wang, He Zhu, Hongshik Ahn
Explain the Explainer: Interpreting Model-Agnostic Counterfactual Explanations of a Deep Reinforcement Learning Agent. IEEE Trans. Artif. Intell. 5 (4) (2024)
Ziheng Chen, Yue Song, Yunmei Liu, Nicu Sebe
A Lie Group Approach to Riemannian Batch Normalization. CoRR (2024)
Ziheng Chen, Yue Song, Gaowen Liu, Ramana Rao Kompella, Xiaojun Wu, Nicu Sebe
Riemannian Multiclass Logistics Regression for SPD Neural Networks. CoRR (2023)
Ziheng Chen, Tianyang Xu, Xiaojun Wu, Rui Wang, Josef Kittler
Hybrid Riemannian Graph-Embedding Metric Learning for Image Set Classification. IEEE Trans. Big Data 9 (1) (2023)
Ziyi Lei, Siqing Gan, Ziheng Chen
Strong and weak convergence rates of logarithmic transformed truncated EM methods for SDEs with positive solutions. J. Comput. Appl. Math. 419 (2023)
Wen Wang, Xiaobin Xu, Ziheng Chen, Zhiqiang Zhang, Haojie Zhang, Zhiying Tan
Visual Servoing Control Method of 3D Robot Based on 3D Point Cloud Processing. RobCE (2023)
Wanrong Yu, Xiao-Jun Wu, Tianyang Xu, Ziheng Chen, Josef Kittler
Scalable Affine Multi-view Subspace Clustering. Neural Process. Lett. 55 (4) (2023)
Ziheng Chen, Tianyang Xu, Xiao-Jun Wu, Rui Wang, Zhiwu Huang, Josef Kittler
Riemannian Local Mechanism for SPD Neural Networks. AAAI (2023)
Ziheng Chen, Fabrizio Silvestri, Jia Wang, Yongfeng Zhang, Gabriele Tolomei
The Dark Side of Explanations: Poisoning Recommender Systems with Counterfactual Examples. CoRR (2023)
Ziheng Chen, Tianyang Xu, Zhiwu Huang, Yue Song, Xiao-Jun Wu, Nicu Sebe
Adaptive Riemannian Metrics on SPD Manifolds. CoRR (2023)
Ziheng Chen, Fabrizio Silvestri, Jia Wang, Yongfeng Zhang, Gabriele Tolomei
The Dark Side of Explanations: Poisoning Recommender Systems with Counterfactual Examples. SIGIR (2023)
Yifei Liu, Yaling Liang, Pengfei Wang, Ziheng Chen, Changxing Ding
GlobalAP: Global average precision optimization for person re-identification. Pattern Recognit. 142 (2023)
Yifei Liu, Yaling Liang, Ziheng Chen
LRHW-AP: Using ranking-based metric as loss for Person Re-Identification. J. Vis. Commun. Image Represent. 85 (2022)
Rui Wang, Xiao-Jun Wu, Ziheng Chen, Tianyang Xu, Josef Kittler
DreamNet: A Deep Riemannian Network based on SPD Manifold Learning for Visual Classification. CoRR (2022)
Ziheng Chen, Fabrizio Silvestri, Jia Wang, Yongfeng Zhang, Zhenhua Huang, Hongshik Ahn, Gabriele Tolomei
GREASE: Generate Factual and Counterfactual Explanations for GNN-based Recommendations. CoRR (2022)
Yao Yao, Tao Cheng, Zhenhui Sun, Linlong Li, Dongsheng Chen, Ziheng Chen, Jianglin Wei, Qingfeng Guan
VecLI: A framework for calculating vector landscape indices considering landscape fragmentation. Environ. Model. Softw. 149 (2022)
Rui Wang, Xiaojun Wu, Ziheng Chen, Tianyang Xu, Josef Kittler
DreamNet: A Deep Riemannian Manifold Network for SPD Matrix Learning. ACCV (6) (2022)
Ziheng Chen
RLOP: RL Methods in Option Pricing from a Mathematical Perspective. CoRR (2022)
Rui Wang, Xiaojun Wu, Ziheng Chen, Tianyang Xu, Josef Kittler
Learning a discriminative SPD manifold neural network for image set classification. Neural Networks 151 (2022)
Xiao Li, Gong Cheng, Ziheng Chen, Yawei Sun, Yuzhong Qu
AdaLoGN: Adaptive Logic Graph Network for Reasoning-Based Machine Reading Comprehension. CoRR (2022)
Xiao Li, Gong Cheng, Ziheng Chen, Yawei Sun, Yuzhong Qu
AdaLoGN: Adaptive Logic Graph Network for Reasoning-Based Machine Reading Comprehension. ACL (1) (2022)
Peng Chen, Qi Xiao, Jian Xu, Xiaoli Dong, Linjun Sun, Weijun Li, Xin Ning, Guojun Wang, Ziheng Chen
Harnessing semantic segmentation masks for accurate facial attribute editing. Concurr. Comput. Pract. Exp. 34 (12) (2022)
Ziheng Chen, Xiao-Jun Wu, Tianyang Xu, Rui Wang, Zhiwu Huang, Josef Kittler
MSNet: A Deep Multi-scale Submanifold Network for Visual Classification. CoRR (2022)
Ziheng Chen, Fabrizio Silvestri, Jia Wang, He Zhu, Hongshik Ahn, Gabriele Tolomei
ReLAX: Reinforcement Learning Agent Explainer for Arbitrary Predictive Models. CIKM (2022)
Shuai Chen, Bing Li, Ziheng Chen, Yan Zhang, Caicai Wang, Tao Cheng
Novel Strong-PUF-Based Authentication Protocols Leveraging Shamir's Secret Sharing. IEEE Internet Things J. 9 (16) (2022)
Ziheng Chen, Sichen Zhong, Jianshu Chen, Yue Zhao
DeepPursuit: Uniting Classical Wisdom and Deep RL for Sparse Recovery. ACSCC (2021)
Min Li, Chengming Huang, Ziheng Chen
Compensated projected Euler-Maruyama method for stochastic differential equations with superlinear jumps. Appl. Math. Comput. 393 (2021)
Chuchu Chen, Ziheng Chen, Jialin Hong, Diancong Jin
Large deviations principles of sample paths and invariant measures of numerical methods for parabolic SPDEs. CoRR (2021)
Ziheng Chen, Jin Huang, Hongshik Ahn, Xin Ning
Costly Features Classification using Monte Carlo Tree Search. CoRR (2021)
Ziheng Chen, Jiangtao Ren
Multi-label text classification with latent word-wise label information. Appl. Intell. 51 (2) (2021)
Yulin Shen, Ziheng Chen, Gong Cheng, Yuzhong Qu
CKGG: A Chinese Knowledge Graph for High-School Geography Education and Beyond. ISWC (2021)
Ziheng Chen, Fabrizio Silvestri, Gabriele Tolomei, He Zhu, Jia Wang, Hongshik Ahn
ReLACE: Reinforcement Learning Agent for Counterfactual Explanations of Arbitrary Predictive Models. CoRR (2021)
Ziheng Chen, Jin Huang, Hongshik Ahn, Xin Ning
Costly Features Classification using Monte Carlo Tree Search. IJCNN (2021)
Ziheng Chen, Hongshik Ahn
Item Response Theory Based Ensemble in Machine Learning. Int. J. Autom. Comput. 17 (5) (2020)
Marco Rovere, Ziheng Chen, Antonio Di Pilato, Felice Pantaleo, Chris Seez
CLUE: A Fast Parallel Clustering Algorithm for High Granularity Calorimeters in High-Energy Physics. Frontiers Big Data 3 (2020)
Ziheng Chen, Chaojie Lai, Jiangtao Ren
Hospital readmission prediction based on long-term and short-term information fusion. Appl. Soft Comput. 96 (2020)
Ziheng Chen, Siqing Gan
Convergence and stability of the backward Euler method for jump-diffusion SDEs with super-linearly growing diffusion and jump coefficients. J. Comput. Appl. Math. 363 (2020)
Liao Cheng, Ziheng Chen, Jiangtao Ren
Enhancing Question Answering over Knowledge Base Using Dynamical Relation Reasoning. IJCNN (2020)
Xin Ning, Weijuan Tian, Weijun Li, Yueyue Lu, Shuai Nie, Linjun Sun, Ziheng Chen
BDARS_CapsNet: Bi-Directional Attention Routing Sausage Capsule Network. IEEE Access 8 (2020)
Ziheng Chen, Zhennan Zhou
The Bayesian inversion problem for thermal average sampling of quantum systems. J. Comput. Phys. 413 (2020)
Ziheng Chen, Jiangtao Ren
Short Text Embedding for Clustering Based on Word and Topic Semantic Information. DSAA (2019)
Ziheng Chen, Hongshik Ahn
Item Response Theory based Ensemble in Machine Learning. CoRR (2019)
Ziheng Chen, Zhennan Zhou
The Bayesian Inversion Problem for Thermal Average Sampling of Quantum Systems. CoRR (2019)