Asymptotic Rate-Distortion Analysis of Symmetric Remote Gaussian Source Coding: Centralized Encoding vs. Distributed Encoding. - Yizhong Wang; Li Xie; Siyao Zhou 002; Mengzhen Wang; Jun Chen 005 (Entropy, 2019)

Trimmed Data-Driven Evolutionary Optimization Using Selective Surrogate Ensembles. - Yawen Shan; Yongjin Hou; Mengzhen Wang; Fei Xu (BIC-TA, 2020)

Predicting Drug-Target Interactions Binding Affinity by Using Dual Updating Multi-task Learning. - Chengyu Shi; Shaofu Lin; Jianhui Chen; Mengzhen Wang; Qingcai Gao (ChineseCSCW (2), 2021)

Medication Recommendation Based on a Knowledge-enhanced Pre-training Model. - Mengzhen Wang; Jianhui Chen; Shaofu Lin (WI/IAT (Workshop/Special Session), 2021)

Hybrid seeding: A standalone track reconstruction algorithm for scintillating fibre tracker at LHCb. - Salvatore Aiola; Yasmine Amhis; Pierre Billoir; Brij Kishor Jashal; Louis Henry; A. Oyanguren Campos; Carla Marin Benito; Francesco Polci; Renato Quagliani; Manuel T. Schiller; Mengzhen Wang (Comput. Phys. Commun., 2021)

A Many-objective Evolutionary Algorithm using Determinantal Point Process in Potential Region. - Mengzhen Wang; Fangzhen Ge; Debao Chen; Huaiyu Liu (CCEAI, 2022)

Automatic Drilling Recognition System for Intelligent Surgery Robot. - Xuan Liu; Limin Mao; Jiajie Chen; Mengzhen Wang (ICCSIE, 2022)

Offline Data-Driven Evolutionary Optimization Algorithm Using K-Fold Cross. - Mengzhen Wang; Yawen Shan; Fei Xu (ICSI (1), 2022)

MR-KPA: medication recommendation by combining knowledge-enhanced pre-training with a deep adversarial network. - Shaofu Lin; Mengzhen Wang; Chengyu Shi; Zhe Xu; Lihong Chen; Qingcai Gao; Jianhui Chen (BMC Bioinform., 2022)

CEIL: A General Classification-Enhanced Iterative Learning Framework for Text Clustering. - Mingjun Zhao; Mengzhen Wang; Yinglong Ma 001; Di Niu; Haijiang Wu (WWW, 2023)

A many-objective evolutionary algorithm based on corner solution and cosine distance. - Mengzhen Wang; Fangzhen Ge; Debao Chen; Huaiyu Liu (Appl. Intell., 2023)

A many-objective evolutionary algorithm with adaptive convergence calculation. - Mengzhen Wang; Fangzhen Ge; Debao Chen; Huaiyu Liu (Appl. Intell., 2023)

Fine-Grained Features-based Code Search for Precise Query-Code Matching. - Xinting Zhang; Mengqiu Cheng; Mengzhen Wang; Songwen Gong; Jiayuan Xie; Yi Cai 001; Qing Li 001 (COLING, 2025)

Adaptive composing augmentations on multi-modal graph convolutional network for disease prediction. - Longfei Han; Mengzhen Wang; Xiangsen Zhang; Wenxin Li; Haisheng Li 002; Xiankai Huang (Comput. Electr. Eng., 2025)

Power system state estimation based on graph contrastive learning. - Ping Li; Zhen Dai; Mengzhen Wang; Zhenyu Wang (Expert Syst. Appl., 2025)