A high-throughput multi-rate LDPC decoder for error correction of solid-state drives. - Yishan Zhang; Chun Zhang; Zhiyuan Yan; Shuang Chen; Hanjun Jiang (SiPS, 2015)

The state of practice of COVID -19 tracking systems: An inventory study. - Rong Tang 001; Sanda Erdelez; Emma May; Yishan Zhang (ASIST, 2020)

Retrieval of Water Quality Parameters from Hyperspectral Images Using Hybrid Bayesian Probabilistic Neural Network. - Yishan Zhang; Lun Wu; Huazhong Ren; Licui Deng; Pengcheng Zhang (Remote. Sens., 2020)

Mapping Water Quality Parameters in Urban Rivers from Hyperspectral Images Using a New Self-Adapting Selection of Multiple Artificial Neural Networks. - Yishan Zhang; Lun Wu; Huazhong Ren; Yu Liu 003; Yongqian Zheng; Yaowen Liu; Jiaji Dong (Remote. Sens., 2020)

HierSyn: Fast Synthesis for Large Hierarchical Designs. - Yishan Zhang; Zhiyong Zhang; Chang Wu (ASICON, 2023)

Transformer based Multi-modal Memory-augmented Masked Network for Air Crisis Event Detection. - Yang Yang 122; Yishan Zhang; Shengsheng Qian; Minghua Zhang; Kaiquan Cai (ITSC, 2023)

Open Government Data (OGD) sites and the sharing of country-specific real-time pandemic information: An investigation into COVID-19 datasets available on worldwide OGDs. - Rong Tang 001; Jie Jiang; Yishan Zhang; Jiebei Luo (Inf. Process. Manag., 2023)

Point-of-interest recommendation based on LBSN with multi-aspect fusion of social and individual features. - Yishan Zhang; Yu Liu (Neural Comput. Appl., 2024)

Scenario-Guided Transformer-Enabled Multi-Modal Unknown Event Classification for Air Transport. - Yang Yang 122; Yishan Zhang; Shengsheng Qian; Kaiquan Cai (IEEE Trans. Intell. Transp. Syst., 2024)

Symmetry and Fusion Data Augmentation for Semi-Supervised Medical Segmentation. - Yishan Zhang; Wenxin Yu 001; Zhiqiang Zhang; Jun Gong; Peng Chen; Chang Liu (ICASSP, 2025)

Data use policies on state COVID-19 dashboards in the United States: Key characteristics, topical focus, and identifiable gaps. - Rong Tang 001; Zhan Hu; Yishan Zhang (Data Inf. Manag., 2025)

Learning from leading indicators to predict long-term dynamics of hourly electricity generation from multiple resources. - Zhenghong Wang; Yi Wang 132; Furong Jia 001; Kun Liu; Yishan Zhang; Fan Zhang 011; Zhou Huang; Yu Liu 003 (Neural Networks, 2025)