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Ziheng Chen
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2020 – today
- 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
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
Adaptive Log-Euclidean Metrics for SPD Matrix Learning. IEEE Trans. Image Process. 33: 5194-5205 (2024) - [j19]Rui Wang
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
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
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
Visual Servoing Control Method of 3D Robot Based on 3D Point Cloud Processing. RobCE 2023: 209-214 - [c9]Ziheng Chen
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
Harnessing semantic segmentation masks for accurate facial attribute editing. Concurr. Comput. Pract. Exp. 34(12) (2022) - [j12]Yao Yao, Tao Cheng, Zhenhui Sun
VecLI: A framework for calculating vector landscape indices considering landscape fragmentation. Environ. Model. Softw. 149: 105325 (2022) - [j11]Shuai Chen
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
Learning a discriminative SPD manifold neural network for image set classification. Neural Networks 151: 94-110 (2022) - [c8]Rui Wang
DreamNet: A Deep Riemannian Manifold Network for SPD Matrix Learning. ACCV (6) 2022: 646-663 - [c7]Xiao Li
AdaLoGN: Adaptive Logic Graph Network for Reasoning-Based Machine Reading Comprehension. ACL (1) 2022: 7147-7161 - [c6]Ziheng Chen, Fabrizio Silvestri, Jia Wang
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
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
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
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
CLUE: A Fast Parallel Clustering Algorithm for High Granularity Calorimeters in High-Energy Physics. Frontiers Big Data 3: 591315 (2020) - [j3]Ziheng Chen
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
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 2024-11-18 20:46 CET by the dblp team
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