A network coding scheme for the multiple access full-duplex relay networks. - Zongyan Li; Mugen Peng; Wenbo Wang 007 (CHINACOM, 2011)

A Joint Network and Channel Coding Scheme for Cooperative Relay Networks. - Zongyan Li; Mugen Peng; Wenbo Wang 007 (VTC Fall, 2011)

Structure optimisation of input layer for feed-forward NARX neural network. - Zongyan Li; Matt Best (Int. J. Model. Identif. Control., 2016)

Generalized Joint Channel-Network Coding in Asymmetric Two-Way Relay Channels. - Shengqiang Shen; Shiyin Li; Zongyan Li (KSII Trans. Internet Inf. Syst., 2016)

Optimal-Behavior-Based Dynamic Calibration of the Automotive Diesel Engine. - Ke Fang; Zongyan Li; Kamil Ostrowski; Andrew Thomas Shenton; Peter G. Dowell; Richard M. Sykes (IEEE Trans. Control. Syst. Technol., 2016)

A harmony search variant and a useful constraint handling method for the dynamic economic emission dispatch problems considering transmission loss. - Zongyan Li; Dexuan Zou; Zhi Kong (Eng. Appl. Artif. Intell., 2019)

Code design for run-length control in visible light communication. - Zongyan Li; Honglu Yu; Baoling Shan; Dexuan Zou; Shiyin Li (Frontiers Inf. Technol. Electron. Eng., 2020)

New Run-Length Limited Codes in On-Off Keying Visible Light Communication Systems. - Zongyan Li; Honglu Yu; Baoling Shan; Dexuan Zou; Shiyin Li (IEEE Wirel. Commun. Lett., 2020)

A Joint Coded-Modulation Scheme of Median Partition Color-Shift Keying for Visible Light Communications. - Zongyan Li; Zeyu Yuan; Shuai Ma 002; Shiyin Li (ICC, 2022)

New Bounds on Capacity Region of Multiple Access Channels in Visible Light Communications. - Ruixin Yang; Bing Li; Shuai Ma 002; Youlong Wu; Zongyan Li; Shiyin Li (Entropy, 2022)

Color-Shift Keying Code Design in Visible Light Communications Using Finite-State Machines. - Zongyan Li; Tianfeng Shi; Baoling Shan; Shiyin Li (IEEE Commun. Lett., 2022)

Multi-Intensity Planes Constellation and Code Design-Based Color-Shift Keying for Visible Light Communications. - Zongyan Li; Tianfeng Shi; Baoling Shan; Shuai Ma 002; Shiyin Li (IEEE Internet Things J., 2023)

An RTM-Driven Machine Learning Approach for Estimating High-Resolution FAPAR From LANDSAT 5/7/8/9 Surface Reflectance. - Guodong Zhang; Gaofei Yin; Yi Zhang; Jiangchuan Hu; Zongyan Li; Changjing Wang; Dujuan Ma; Jiangliu Xie (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)