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ORCIDHongzhi Shi
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2020 – today
- 2024
[c12]Zijian Chen, Mei Wang, Weihong Deng, Hongzhi Shi, Dongchao Wen, Yingjie Zhang, Xingchen Cui, Jian Zhao:
Confidence-Aware RGB-D Face Recognition via Virtual Depth Synthesis. CVPR Workshops 2024: 1481-1489- [c11]Xuannan Liu, Yaoyao Zhong, Weihong Deng, Hongzhi Shi, Xingchen Cui, Yunfeng Yin, Dongchao Wen:
Enhancing Generalization Of Invisible Facial Privacy Cloak Via Gradient Accumulation. ICASSP 2024: 5290-5294 - [i6]Xuannan Liu, Yaoyao Zhong, Weihong Deng, Hongzhi Shi, Xingchen Cui, Yunfeng Yin, Dongchao Wen:
Enhancing Generalization of Invisible Facial Privacy Cloak via Gradient Accumulation. CoRR abs/2401.01575 (2024) - [i5]Zijian Chen, Mei Wang, Weihong Deng, Hongzhi Shi, Dongchao Wen, Yingjie Zhang, Xingchen Cui, Jian Zhao:
Confidence-Aware RGB-D Face Recognition via Virtual Depth Synthesis. CoRR abs/2403.06529 (2024) - 2023
- [c10]Linzhi Huang, Mei Wang, Jiahao Liang, Weihong Deng, Hongzhi Shi, Dongchao Wen, Yingjie Zhang
, Jian Zhao:
Gradient Attention Balance Network: Mitigating Face Recognition Racial Bias via Gradient Attention. CVPR Workshops 2023: 38-47 - [c9]Hongzhi Shi, Jingtao Ding, Yufan Cao, Quanming Yao, Li Liu, Yong Li:
Learning Symbolic Models for Graph-structured Physical Mechanism. ICLR 2023 - [c8]Hongzhi Shi, Quanming Yao, Yong Li:
Learning to Simulate Crowd Trajectories with Graph Networks. WWW 2023: 4200-4209 - [i4]Xu Ling, Yichen Lu, Wenqi Xu, Weihong Deng, Yingjie Zhang, Xingchen Cui, Hongzhi Shi, Dongchao Wen:
Dive into the Resolution Augmentations and Metrics in Low Resolution Face Recognition: A Plain yet Effective New Baseline. CoRR abs/2302.05621 (2023) - [i3]Linzhi Huang, Mei Wang, Jiahao Liang, Weihong Deng, Hongzhi Shi, Dongchao Wen, Yingjie Zhang, Jian Zhao:
Gradient Attention Balance Network: Mitigating Face Recognition Racial Bias via Gradient Attention. CoRR abs/2304.02284 (2023) - 2022
- [c7]Shiyong Hong, Yaobin Zhang, Xu Ling, Weihong Deng, Yunfeng Yin, Yingjie Zhang, Hongzhi Shi, Dongchao Wen:
Face Clustering via Adaptive Aggregation of Clean Neighbors. HCMA@MM 2022: 83-92 - [i2]Yuhang Zhang, Weihong Deng, Xingchen Cui, Yunfeng Yin, Hongzhi Shi, Dongchao Wen:
Model and Data Agreement for Learning with Noisy Labels. CoRR abs/2212.01054 (2022) - 2021
- [j5]Hongzhi Shi, Yong Li, Hancheng Cao, Xiangxin Zhou, Chao Zhang, Vassilis Kostakos:
Semantics-Aware Hidden Markov Model for Human Mobility. IEEE Trans. Knowl. Data Eng. 33(3): 1183-1194 (2021) - 2020
- [c6]Hongzhi Shi, Quanming Yao, Qi Guo, Yaguang Li, Lingyu Zhang, Jieping Ye, Yong Li, Yan Liu:
Predicting Origin-Destination Flow via Multi-Perspective Graph Convolutional Network. ICDE 2020: 1818-1821
2010 – 2019
- 2019
- [c5]Zefang Zong, Jie Feng, Kechun Liu, Hongzhi Shi, Yong Li:
DeepDPM: Dynamic Population Mapping via Deep Neural Network. AAAI 2019: 1294-1301 - [c4]Mingyang Zhang, Tong Li, Hongzhi Shi, Yong Li, Pan Hui:
A Decomposition Approach for Urban Anomaly Detection Across Spatiotemporal Data. IJCAI 2019: 6043-6049 - [c3]Hongzhi Shi, Chao Zhang, Quanming Yao, Yong Li, Funing Sun, Depeng Jin:
State-Sharing Sparse Hidden Markov Models for Personalized Sequences. KDD 2019: 1549-1559 - [c2]Hongzhi Shi, Hancheng Cao, Xiangxin Zhou, Yong Li, Chao Zhang, Vassilis Kostakos, Funing Sun, Fanchao Meng:
Semantics-Aware Hidden Markov Model for Human Mobility. SDM 2019: 774-782 - 2018
- [j4]Jinxue Sui, Li Yang, Xinguang Zhang, Hongzhi Shi, Ya Hu:
Hemodynamic Solution Computation and Pathological Analysis in the Circle of Willis. J. Medical Syst. 42(10): 178:1-178:9 (2018) - [j3]Hongzhi Shi, Yong Li:
Discovering Periodic Patterns for Large Scale Mobile Traffic Data: Method and Applications. IEEE Trans. Mob. Comput. 17(10): 2266-2278 (2018) - [i1]Zefang Zong, Jie Feng, Kechun Liu, Hongzhi Shi, Yong Li:
DeepDPM: Dynamic Population Mapping via Deep Neural Network. CoRR abs/1811.02644 (2018) - 2017
- [j2]Jinxue Sui, Li Yang, Suiyu Li, Hongzhi Shi:
Blood circulation diseases treatment based on decentralized adaptive control. J. Intell. Fuzzy Syst. 33(5): 2851-2860 (2017) - 2016
- [j1]Fengli Xu, Yuyun Lin, Jiaxin Huang, Di Wu, Hongzhi Shi, Jeungeun Song, Yong Li:
Big Data Driven Mobile Traffic Understanding and Forecasting: A Time Series Approach. IEEE Trans. Serv. Comput. 9(5): 796-805 (2016) - [c1]Jicheng Chen, Yaqian Zhao, Hongzhi Shi, Yihan Li:
BFDir: A Space-Efficient Coherence Directory Based on Bloom Filter. NCCET 2016: 81-93
Coauthor Index
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