BFDir: A Space-Efficient Coherence Directory Based on Bloom Filter. - Jicheng Chen; Yaqian Zhao; Hongzhi Shi; Yihan Li (NCCET, 2016)

Big Data Driven Mobile Traffic Understanding and Forecasting: A Time Series Approach. - Fengli Xu; Yuyun Lin 001; Jiaxin Huang 001; Di Wu 002; Hongzhi Shi; Jeungeun Song 002; Yong Li 008 (IEEE Trans. Serv. Comput., 2016)

Blood circulation diseases treatment based on decentralized adaptive control. - Jinxue Sui; Li Yang; Suiyu Li; Hongzhi Shi (J. Intell. Fuzzy Syst., 2017)

Hemodynamic Solution Computation and Pathological Analysis in the Circle of Willis. - Jinxue Sui; Li Yang; Xinguang Zhang; Hongzhi Shi; Ya Hu (J. Medical Syst., 2018)

Discovering Periodic Patterns for Large Scale Mobile Traffic Data: Method and Applications. - Hongzhi Shi; Yong Li 008 (IEEE Trans. Mob. Comput., 2018)

DeepDPM: Dynamic Population Mapping via Deep Neural Network. - Zefang Zong; Jie Feng 002; Kechun Liu; Hongzhi Shi; Yong Li 008 (AAAI, 2019)

A Decomposition Approach for Urban Anomaly Detection Across Spatiotemporal Data. - Mingyang Zhang 004; Tong Li 013; Hongzhi Shi; Yong Li 008; Pan Hui 001 (IJCAI, 2019)

State-Sharing Sparse Hidden Markov Models for Personalized Sequences. - Hongzhi Shi; Chao Zhang 014; Quanming Yao; Yong Li 008; Funing Sun; Depeng Jin (KDD, 2019)

Semantics-Aware Hidden Markov Model for Human Mobility. - Hongzhi Shi; Hancheng Cao; Xiangxin Zhou; Yong Li 008; Chao Zhang 014; Vassilis Kostakos; Funing Sun; Fanchao Meng (SDM, 2019)

Predicting Origin-Destination Flow via Multi-Perspective Graph Convolutional Network. - Hongzhi Shi; Quanming Yao; Qi Guo; Yaguang Li; Lingyu Zhang 001; Jieping Ye; Yong Li 008; Yan Liu 002 (ICDE, 2020)

Semantics-Aware Hidden Markov Model for Human Mobility. - Hongzhi Shi; Yong Li 008; Hancheng Cao; Xiangxin Zhou; Chao Zhang 014; Vassilis Kostakos (IEEE Trans. Knowl. Data Eng., 2021)

Face Clustering via Adaptive Aggregation of Clean Neighbors. - Shiyong Hong; Yaobin Zhang; Xu Ling; Weihong Deng; Yunfeng Yin; Yingjie Zhang; Hongzhi Shi; Dongchao Wen (HCMA@MM, 2022)

Model and Data Agreement for Learning with Noisy Labels. - Yuhang Zhang; Weihong Deng; Xingchen Cui; Yunfeng Yin; Hongzhi Shi; Dongchao Wen (CoRR, 2022)

Gradient Attention Balance Network: Mitigating Face Recognition Racial Bias via Gradient Attention. - Linzhi Huang; Mei Wang; Jiahao Liang; Weihong Deng; Hongzhi Shi; Dongchao Wen; Yingjie Zhang; Jian Zhao (CVPR Workshops, 2023)

Learning Symbolic Models for Graph-structured Physical Mechanism. - Hongzhi Shi; Jingtao Ding; Yufan Cao 002; Quanming Yao; Li Liu; Yong Li 008 (ICLR, 2023)

Learning to Simulate Crowd Trajectories with Graph Networks. - Hongzhi Shi; Quanming Yao; Yong Li 008 (WWW, 2023)

Dive into the Resolution Augmentations and Metrics in Low Resolution Face Recognition: A Plain yet Effective New Baseline. - Xu Ling; Yichen Lu; Wenqi Xu; Weihong Deng; Yingjie Zhang; Xingchen Cui; Hongzhi Shi; Dongchao Wen (CoRR, 2023)

Confidence-Aware RGB-D Face Recognition via Virtual Depth Synthesis. - Zijian Chen; Mei Wang; Weihong Deng; Hongzhi Shi; Dongchao Wen; Yingjie Zhang; Xingchen Cui; Jian Zhao (CVPR Workshops, 2024)

Enhancing Generalization Of Invisible Facial Privacy Cloak Via Gradient Accumulation. - Xuannan Liu; Yaoyao Zhong; Weihong Deng; Hongzhi Shi; Xingchen Cui; Yunfeng Yin; Dongchao Wen (ICASSP, 2024)

Semantic-Aware Local Image Editing with a Single Mask Operation. - Dongchao Wen; Zijian Chen; Weihong Deng; Yujiang Tian; Hongzhi Shi; Yingjie Zhang; Xingchen Cui; Jian Zhao; Lingyan Liang; Mei Wang (CVPR Workshops, 2025)