Synthesizing Fundus Photographies for Training Segmentation Networks. - Jannes Magnusson; Ahmed J. Afifi; Shengjia Zhang; Andreas Ley; Olaf Hellwich (DeLTA, 2021)

Boosting Unsupervised Domain Adaptation with Soft Pseudo-label and Curriculum Learning. - Shengjia Zhang; Tiancheng Lin 001; Yi Xu 001 (CoRR, 2021)

Extracting Terrain Texture Features for Landform Classification Using Wavelet Decomposition. - Yuexue Xu; Shengjia Zhang; Jinyu Li; Haiying Liu; Hongchun Zhu (ISPRS Int. J. Geo Inf., 2021)

Data-Free Area Detection and Evaluation for Marine Satellite Data Products. - Shengjia Zhang; Hongchun Zhu; Jie Li; Yanrui Yang; Haiying Liu (Remote. Sens., 2022)

A TFN-based uncertainty modeling method in complex evidence theory for decision making. - Shengjia Zhang; Fuyuan Xiao 001 (Inf. Sci., 2023)

Finding High-Quality Item Attributes for Recommendation. - Xiaolin Zheng; Yanchao Tan; Yan Wang 002; Xiangyu Wei; Shengjia Zhang; Chaochao Chen 001; Longfei Li; Carl Yang 001 (IEEE Trans. Knowl. Data Eng., 2023)

Crafting Lifelike Avatars: Model Compression and Advanced Rendering Techniques. - Shengjia Zhang (ECAI, 2024)

GFAvatar: A High-Quality Facial Avatar Reconstruction Method. - Shengjia Zhang; Suping Wu (ICME, 2024)

Unsupervised Multi-collaborative Learning Network for 3D Face Reconstruction. - Wenlong Lu; Suping Wu; Xitie Zhang; Shengjia Zhang (MMM (3), 2024)

A Complex Gaussian Fuzzy Numbers-Based Multisource Information Fusion for Pattern Classification. - Shengjia Zhang; Mingrui Yin; Fuyuan Xiao 001; Zehong Cao; Danilo Pelusi (IEEE Trans. Fuzzy Syst., 2024)

Advancing Loss Functions in Recommender Systems: A Comparative Study with a Rényi Divergence-Based Solution. - Shengjia Zhang; Jiawei Chen 007; Changdong Li; Sheng Zhou 004; Qihao Shi; Yan Feng; Chun Chen 001; Can Wang 001 (AAAI, 2025)

OThink-R1: Intrinsic Fast/Slow Thinking Mode Switching for Over-Reasoning Mitigation. - Shengjia Zhang; Junjie Wu; Jiawei Chen 007; Changwang Zhang; Xingyu Lou; Wangchunshu Zhou; Sheng Zhou 004; Can Wang 001; Jun Wang 020 (CoRR, 2025)

Breaking the Top-K Barrier: Advancing Top-K Ranking Metrics Optimization in Recommender Systems. - Weiqin Yang; Jiawei Chen; Shengjia Zhang; Peng Wu; Yuegang Sun; Yan Feng; Chun Chen; Can Wang (CoRR, 2025)