Hongzhi Shi

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 22

Top Topics

Face Recognition

Convolutional Network

Top Venues

IEEE Trans. Serv. Comput.

Publications

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 (2024)
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)
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 (2024)
Hongzhi Shi, Quanming Yao, Yong Li
Learning to Simulate Crowd Trajectories with Graph Networks. WWW (2023)
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 (2023)
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 (2023)
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)
Hongzhi Shi, Jingtao Ding, Yufan Cao, Quanming Yao, Li Liu, Yong Li
Learning Symbolic Models for Graph-structured Physical Mechanism. ICLR (2023)
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)
Yuhang Zhang, Weihong Deng, Xingchen Cui, Yunfeng Yin, Hongzhi Shi, Dongchao Wen
Model and Data Agreement for Learning with Noisy Labels. CoRR (2022)
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) (2021)
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)
Mingyang Zhang, Tong Li, Hongzhi Shi, Yong Li, Pan Hui
A Decomposition Approach for Urban Anomaly Detection Across Spatiotemporal Data. IJCAI (2019)
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)
Zefang Zong, Jie Feng, Kechun Liu, Hongzhi Shi, Yong Li
DeepDPM: Dynamic Population Mapping via Deep Neural Network. AAAI (2019)
Hongzhi Shi, Chao Zhang, Quanming Yao, Yong Li, Funing Sun, Depeng Jin
State-Sharing Sparse Hidden Markov Models for Personalized Sequences. KDD (2019)
Zefang Zong, Jie Feng, Kechun Liu, Hongzhi Shi, Yong Li
DeepDPM: Dynamic Population Mapping via Deep Neural Network. CoRR (2018)
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) (2018)
Hongzhi Shi, Yong Li
Discovering Periodic Patterns for Large Scale Mobile Traffic Data: Method and Applications. IEEE Trans. Mob. Comput. 17 (10) (2018)
Jinxue Sui, Li Yang, Suiyu Li, Hongzhi Shi
Blood circulation diseases treatment based on decentralized adaptive control. J. Intell. Fuzzy Syst. 33 (5) (2017)
Jicheng Chen, Yaqian Zhao, Hongzhi Shi, Yihan Li
BFDir: A Space-Efficient Coherence Directory Based on Bloom Filter. NCCET (2016)
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) (2016)