Advances in ALOHA random multiple access techniques. - Zhao Liang (Int. J. Commun. Syst., 2000)

Nonparametric Classification Based on Local Mean and Class Mean. - Zeng Yong; Wang Bing; Zhao Liang; Yu-Pu Yang (ICIC (1), 2008)

Automatic parking path optimization based on Bezier curve fitting. - Zhao Liang; Guoqiang Zheng; Jishun Li (ICAL, 2012)

Review on Virtual Human's Affective Model and Related Applied Algorithm. - Zhao Liang (J. Digit. Inf. Manag., 2012)

A parallel Probabilistic Latent Semantic Analysis method on MapReduce platform. - Zhao Liang; Wenye Li 001; Yuxi Li (ICIA, 2013)

Characterization and prediction of B-cell epitopes - Zhao Liang (2013)

Big Data Processing with Probabilistic Latent Semantic Analysis on MapReduce. - Yong Zhao 009; Yao Chen; Zhao Liang; Shuangshuang Yuan; Youfu Li 002 (CyberC, 2014)

Sensor data fusion among neighbors in wireless networks. - Bao Yu; Haijian Tang; Chaogang Tang; Zhao Liang (ICTC, 2015)

Data clustering with edge domination in complex networks. - Paulo Roberto Urio; Zhao Liang (CoRR, 2017)

Novel unequal clustering routing protocol considering energy balancing based on network partition & distance for mobile education. - De-gan Zhang 001; Si Liu 004; Ting Zhang 009; Zhao Liang (J. Netw. Comput. Appl., 2017)

Natural Language Semantics and Its Computable Analysis. - Zhao Liang; Chongli Zou (ICIS, 2018)

NeoPeptide: an immunoinformatic database of T-cell-defined neoantigens. - Weijun Zhou; Zhi Qu; Chao-Yang Song; Yang Sun; An-Li Lai; Ma-Yao Luo; Yu-Zhe Ying; Hu Meng; Zhao Liang; Yan-Jie He; Yu-Hua Li; Jian Liu (Database J. Biol. Databases Curation, 2019)

AMVAE: Asymmetric Multimodal Variational Autoencoder for Multi-view Representation. - Wen Youpeng; Hongxiang Lin; Guo Yiju; Zhao Liang (ICANN (1), 2021)

TRICAN: Multi-Modal Hateful Memes Detection with Triplet-Relation Information Cross-Attention Network. - Xiaolin Liang; Yajuan Huang; Wen Liu; He Zhu; Zhao Liang; Libo Chen (IJCNN, 2022)

Research on Occupancy Grid Map Creation Method Based on RPBF-SLAM. - Zhao Liang; Weiguang Shi; Shenghao Zhou; Junwei Chen (ACIRS, 2023)

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action. - Jasmine Chiat Ling Ong; Yilin Ning; Mingxuan Liu; Yian Ma; Zhao Liang; Kuldev Singh; Robert T. Chang; Silke Vogel; John CW Lim; Iris Siu Kwan Tan; Oscar Freyer; Stephen Gilbert; et al. (CoRR, 2025)

Enhancing Social Media Rumor Detection: A Semantic and Graph Neural Network Approach for the 2024 Global Election. - Liu Yan; Liu Yunpeng; Zhao Liang (CoRR, 2025)

Complex Networks for Pattern-Based Data Classification. - Josimar Chire; Khalid Mahmood; Zhao Liang (CoRR, 2025)