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ORCIDZiheng Chen
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j23]Easwaran Ramamurthy
, Snigdha Agarwal, Noelle Toong, Heather Sestili, Irene M. Kaplow, Ziheng Chen, BaDoi N. Phan, Andreas R. Pfenning:
Regression convolutional neural network models implicate peripheral immune regulatory variants in the predisposition to Alzheimer's disease. PLoS Comput. Biol. 20(8): 1012356 (2024)- [j22]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): 174 (2024) - [j21]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): 1443-1457 (2024) - [j20]Ziheng Chen, Yue Song, Tianyang Xu, Zhiwu Huang, Xiaojun Wu, Nicu Sebe:
Adaptive Log-Euclidean Metrics for SPD Matrix Learning. IEEE Trans. Image Process. 33: 5194-5205 (2024) - [j19]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): 8924-8938 (2024) - [j18]Shaokang Li, Chengzhi Lyu, Bin Xia, Ziheng Chen, Lei Zhang:
TAMDepth: self-supervised monocular depth estimation with transformer and adapter modulation. Vis. Comput. 40(10): 6797-6808 (2024) - [c15]Ziheng Chen, Yue Song, Gaowen Liu, Ramana Rao Kompella, Xiao-Jun Wu, Nicu Sebe:
Riemannian Multinomial Logistics Regression for SPD Neural Networks. CVPR 2024: 17086-17096 - [c14]Shengkun Cui, Saurabh Jha, Ziheng Chen, Zbigniew T. Kalbarczvk, Ravishankar K. Iyer:
iPrism: Characterize and Mitigate Risk by Quantifying Change in Escape Routes. DSN 2024: 142-155 - [c13]Ziheng Chen, Yue Song, Yunmei Liu, Nicu Sebe:
A Lie Group Approach to Riemannian Batch Normalization. ICLR 2024 - [c12]Rui Wang, Chen Hu, Ziheng Chen, Xiao-Jun Wu, Xiaoning Song:
A Grassmannian Manifold Self-Attention Network for Signal Classification. IJCAI 2024: 5099-5107 - [i20]Ziheng Chen, Liangmin Cao, Lin Chen:
Stochastic theta methods for random periodic solution of stochastic differential equations under non-globally Lipschitz conditions. CoRR abs/2401.09747 (2024) - [i19]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 abs/2402.08973 (2024) - [i18]Ziheng Chen, Yue Song, Yunmei Liu, Nicu Sebe:
A Lie Group Approach to Riemannian Batch Normalization. CoRR abs/2403.11261 (2024) - [i17]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 abs/2404.15760 (2024) - [i16]Ziheng Chen, Yue Song, Xiao-Jun Wu, Nicu Sebe:
Product Geometries on Cholesky Manifolds with Applications to SPD Manifolds. CoRR abs/2407.02607 (2024) - [i15]Ziheng Chen, Yue Song, Xiaojun Wu, Gaowen Liu, Nicu Sebe:
Understanding Matrix Function Normalizations in Covariance Pooling through the Lens of Riemannian Geometry. CoRR abs/2407.10484 (2024) - [i14]Ziheng Chen, Yue Song, Rui Wang, Xiaojun Wu, Nicu Sebe:
RMLR: Extending Multinomial Logistic Regression into General Geometries. CoRR abs/2409.19433 (2024) - 2023
- [j17]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: 114758 (2023) - [j16]Wanrong Yu, Xiao-Jun Wu, Tianyang Xu, Ziheng Chen, Josef Kittler:
Scalable Affine Multi-view Subspace Clustering. Neural Process. Lett. 55(4): 4679-4696 (2023) - [j15]Yifei Liu, Yaling Liang, Pengfei Wang, Ziheng Chen, Changxing Ding:
GlobalAP: Global average precision optimization for person re-identification. Pattern Recognit. 142: 109682 (2023) - [j14]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): 75-92 (2023) - [c11]Ziheng Chen, Tianyang Xu, Xiao-Jun Wu, Rui Wang, Zhiwu Huang, Josef Kittler:
Riemannian Local Mechanism for SPD Neural Networks. AAAI 2023: 7104-7112 - [c10]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: 209-214 - [c9]Ziheng Chen, Fabrizio Silvestri, Jia Wang, Yongfeng Zhang, Gabriele Tolomei:
The Dark Side of Explanations: Poisoning Recommender Systems with Counterfactual Examples. SIGIR 2023: 2426-2430 - [i13]Ziheng Chen, Tianyang Xu, Zhiwu Huang, Yue Song, Xiao-Jun Wu, Nicu Sebe:
Adaptive Riemannian Metrics on SPD Manifolds. CoRR abs/2303.15477 (2023) - [i12]Ziheng Chen, Fabrizio Silvestri, Jia Wang, Yongfeng Zhang, Gabriele Tolomei:
The Dark Side of Explanations: Poisoning Recommender Systems with Counterfactual Examples. CoRR abs/2305.00574 (2023) - [i11]Ziheng Chen, Yue Song, Gaowen Liu, Ramana Rao Kompella, Xiaojun Wu, Nicu Sebe:
Riemannian Multiclass Logistics Regression for SPD Neural Networks. CoRR abs/2305.11288 (2023) - 2022
- [j13]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) - [j12]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: 105325 (2022) - [j11]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): 14408-14425 (2022) - [j10]Yifei Liu, Yaling Liang, Ziheng Chen:
LRHW-AP: Using ranking-based metric as loss for Person Re-Identification. J. Vis. Commun. Image Represent. 85: 103517 (2022) - [j9]Rui Wang, Xiaojun Wu, Ziheng Chen, Tianyang Xu, Josef Kittler:
Learning a discriminative SPD manifold neural network for image set classification. Neural Networks 151: 94-110 (2022) - [c8]Rui Wang, Xiaojun Wu, Ziheng Chen, Tianyang Xu, Josef Kittler:
DreamNet: A Deep Riemannian Manifold Network for SPD Matrix Learning. ACCV (6) 2022: 646-663 - [c7]Xiao Li, Gong Cheng, Ziheng Chen, Yawei Sun, Yuzhong Qu:
AdaLoGN: Adaptive Logic Graph Network for Reasoning-Based Machine Reading Comprehension. ACL (1) 2022: 7147-7161 - [c6]Ziheng Chen, Fabrizio Silvestri, Jia Wang, He Zhu, Hongshik Ahn, Gabriele Tolomei:
ReLAX: Reinforcement Learning Agent Explainer for Arbitrary Predictive Models. CIKM 2022: 252-261 - [i10]Ziheng Chen, Xiao-Jun Wu, Tianyang Xu, Rui Wang, Zhiwu Huang, Josef Kittler:
MSNet: A Deep Multi-scale Submanifold Network for Visual Classification. CoRR abs/2201.10145 (2022) - [i9]Xiao Li, Gong Cheng, Ziheng Chen, Yawei Sun, Yuzhong Qu:
AdaLoGN: Adaptive Logic Graph Network for Reasoning-Based Machine Reading Comprehension. CoRR abs/2203.08992 (2022) - [i8]Ziheng Chen:
RLOP: RL Methods in Option Pricing from a Mathematical Perspective. CoRR abs/2205.05600 (2022) - [i7]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 abs/2206.07967 (2022) - [i6]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 abs/2208.04222 (2022) - 2021
- [j8]Min Li, Chengming Huang, Ziheng Chen:
Compensated projected Euler-Maruyama method for stochastic differential equations with superlinear jumps. Appl. Math. Comput. 393: 125760 (2021) - [j7]Ziheng Chen, Jiangtao Ren:
Multi-label text classification with latent word-wise label information. Appl. Intell. 51(2): 966-979 (2021) - [c5]Ziheng Chen, Sichen Zhong, Jianshu Chen, Yue Zhao:
DeepPursuit: Uniting Classical Wisdom and Deep RL for Sparse Recovery. ACSCC 2021: 1361-1366 - [c4]Ziheng Chen, Jin Huang, Hongshik Ahn, Xin Ning:
Costly Features Classification using Monte Carlo Tree Search. IJCNN 2021: 1-8 - [c3]Yulin Shen, Ziheng Chen, Gong Cheng, Yuzhong Qu:
CKGG: A Chinese Knowledge Graph for High-School Geography Education and Beyond. ISWC 2021: 429-445 - [i5]Ziheng Chen, Jin Huang, Hongshik Ahn, Xin Ning:
Costly Features Classification using Monte Carlo Tree Search. CoRR abs/2102.07073 (2021) - [i4]Chuchu Chen, Ziheng Chen, Jialin Hong, Diancong Jin:
Large deviations principles of sample paths and invariant measures of numerical methods for parabolic SPDEs. CoRR abs/2106.11018 (2021) - [i3]Ziheng Chen, Fabrizio Silvestri, Gabriele Tolomei, He Zhu, Jia Wang, Hongshik Ahn:
ReLACE: Reinforcement Learning Agent for Counterfactual Explanations of Arbitrary Predictive Models. CoRR abs/2110.11960 (2021) - 2020
- [j6]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: 59059-59068 (2020) - [j5]Ziheng Chen, Chaojie Lai, Jiangtao Ren:
Hospital readmission prediction based on long-term and short-term information fusion. Appl. Soft Comput. 96: 106690 (2020) - [j4]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: 591315 (2020) - [j3]Ziheng Chen, Hongshik Ahn:
Item Response Theory Based Ensemble in Machine Learning. Int. J. Autom. Comput. 17(5): 621-636 (2020) - [j2]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: 350-369 (2020) - [j1]Ziheng Chen, Zhennan Zhou:
The Bayesian inversion problem for thermal average sampling of quantum systems. J. Comput. Phys. 413: 109448 (2020) - [c2]Liao Cheng, Ziheng Chen, Jiangtao Ren:
Enhancing Question Answering over Knowledge Base Using Dynamical Relation Reasoning. IJCNN 2020: 1-8
2010 – 2019
- 2019
- [c1]Ziheng Chen, Jiangtao Ren:
Short Text Embedding for Clustering Based on Word and Topic Semantic Information. DSAA 2019: 61-70 - [i2]Ziheng Chen, Zhennan Zhou:
The Bayesian Inversion Problem for Thermal Average Sampling of Quantum Systems. CoRR abs/1910.02116 (2019) - [i1]Ziheng Chen, Hongshik Ahn:
Item Response Theory based Ensemble in Machine Learning. CoRR abs/1911.04616 (2019)
Coauthor Index
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last updated on 2024-12-02 21:30 CET by the dblp team
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