DeepAoA: Online Vehicular Direction Finding Based on a Deep Learning Method. - Yifeng Zhu; Yunxiang Cai; Hongzi Zhu; Shan Chang (ICPADS, 2019)

Distributed Neighbor Distribution Estimation with Adaptive Compressive Sensing in VANETs. - Yunxiang Cai; Hongzi Zhu; Xiao Wang 012; Shan Chang; Jiangang Shen; Minyi Guo (INFOCOM, 2021)

mmV2V: Combating One-hop Multicasting in Millimeter-wave Vehicular Networks. - Jiangang Shen; Hongzi Zhu; Yunxiang Cai; Bangzhao Zhai; Xudong Wang 001; Shan Chang; Haibin Cai; Minyi Guo (ICDCS, 2022)

PeerProbe: Estimating Vehicular Neighbor Distribution With Adaptive Compressive Sensing. - Yunxiang Cai; Hongzi Zhu; Shan Chang; Xiao Wang 012; Jiangang Shen; Minyi Guo (IEEE/ACM Trans. Netw., 2022)

CDDTR: Cross-Domain Autoencoders for Predicting Cell Type Specific Drug-Induced Transcriptional Responses. - Hanjun Zhang; Yunxiang Cai; Fengya Ge; Wenjuan Zhang; Jinqian Li; Shuxin Chen; Chao Chen; Lin Wang (ICIC (LNBI 2), 2024)

LoRaPCR: Long Range Point Cloud Registration through Multi-hop Relays in VANETs. - Zhenxi Wang; Hongzi Zhu; Yunxiang Cai; Quan Liu 006; Shan Chang; Liang Zhang 027 (INFOCOM, 2024)

Taming Distributed One-Hop Multicasting in Millimeter-Wave VANETs. - Jiangang Shen; Hongzi Zhu; Yunxiang Cai; Shan Chang; Haibin Cai; Bangzhao Zhai; Xudong Wang 001; Minyi Guo (IEEE Trans. Mob. Comput., 2024)

Enabling Long Range Point Cloud Registration in Vehicular Networks via Muti-Hop Relays. - Zhenxi Wang; Hongzi Zhu; Yunxiang Cai; Quan Liu 006; Shan Chang; Liang Zhang 027; Minyi Guo (IEEE Trans. Mob. Comput., 2024)

DeepAoA+: Online Cross-Domain Vehicular Relative Direction Estimation via Deep Learning. - Facheng Hu; Yunxiang Cai; Hongzi Zhu; Shan Chang; Xudong Wang 001; Minyi Guo (IEEE Trans. Veh. Technol., 2024)

PreTKcat: A pre-trained representation learning and machine learning framework for predicting enzyme turnover number. - Yunxiang Cai; Wenjuan Zhang; Zhuangzhuang Dou; Chao Wang; Wenping Yu; Lin Wang 107 (Comput. Biol. Chem., 2025)

Factorizing value function with hierarchical residual Q-network in multi-agent reinforcement learning. - Fang Gao 001; Yunxiang Cai; Haotian Yao; Shaodong Li; Qing Gao; Linfei Yin (Neurocomputing, 2025)