A Dynamic Group Composition Method to Refine Collaborative Learning Group Formation. - Zhilin Zheng (EDM, 2013)

Dynamic Re-Composition of Learning Groups Using PSO-Based Algorithms. - Zhilin Zheng; Niels Pinkwart (EDM, 2014)

A Discrete Particle Swarm Optimization Approach to Compose Heterogeneous Learning Groups. - Zhilin Zheng; Niels Pinkwart (ICALT, 2014)

The Impact of Small Learning Group Composition on Drop-Out Rate and Learning Performance in a MOOC. - Zhilin Zheng; Tim Vogelsang; Niels Pinkwart (EDM, 2015)

An Ensemble Method to Predict Student Performance in an Online Math Learning Environment. - Martin Stapel; Zhilin Zheng; Niels Pinkwart (EDM, 2016)

Perfect Scores Indicate Good Students !? The Case of One Hundred Percenters in a Math Learning System. - Zhilin Zheng; Martin Stapel; Niels Pinkwart (EDM, 2016)

Recomposing Small Learning Groups at Scale - A Data-driven Approach and a Simulation Experiment. - Zhilin Zheng; Niels Pinkwart (DeLFI, 2017)

Learning Group Composition and Re-composition in Large-scale Online Learning Contexts - Zhilin Zheng (2017)

Disentangling Latent Space for VAE by Label Relevant/Irrelevant Dimensions. - Zhilin Zheng; Li Sun (CVPR, 2019)

Disentangling The Spatial Structure And Style In Conditional VAE. - Ziye Zhang; Li Sun 012; Zhilin Zheng; Qingli Li (ICIP, 2020)

Learning Posterior and Prior for Uncertainty Modeling in Person Re-Identification. - Yan Zhang; Zhilin Zheng; Binyu He; Li Sun (CoRR, 2020)

Knowledge Distillation with Adaptive Asymmetric Label Sharpening for Semi-supervised Fracture Detection in Chest X-rays. - Yirui Wang 002; Kang Zheng; Chi-Tung Chang; Xiao-Yun Zhou 001; Zhilin Zheng; Lingyun Huang; Jing Xiao 006; Le Lu 001; Chien-Hung Liao; Shun Miao (CoRR, 2020)

Bridging the Gap between Label- and Reference-based Synthesis in Multi-attribute Image-to-Image Translation. - Qiusheng Huang; Zhilin Zheng; Xueqi Hu; Li Sun 012; Qingli Li (ICCV, 2021)

Knowledge Distillation with Adaptive Asymmetric Label Sharpening for Semi-supervised Fracture Detection in Chest X-Rays. - Yirui Wang 002; Kang Zheng; Chi-Tung Cheng; Xiao-Yun Zhou 001; Zhilin Zheng; Jing Xiao 006; Le Lu 001; Chien-Hung Liao; Shun Miao (IPMI, 2021)

A deep local attention network for pre-operative lymph node metastasis prediction in pancreatic cancer via multiphase CT imaging. - Zhilin Zheng; Xu Fang; Jiawen Yao; Mengmeng Zhu; Le Lu 001; Lingyun Huang; Jing Xiao 006; Yu Shi; Hong Lu; Jianping Lu; Ling Zhang 002; Chengwei Shao; et al. (CoRR, 2023)

Boosting Medical Image-based Cancer Detection via Text-guided Supervision from Reports. - Guangyu Guo; Jiawen Yao; Yingda Xia; Tony C. W. Mok; Zhilin Zheng; Junwei Han 001; Le Lu 001; Dingwen Zhang; Jian Zhou; Ling Zhang 002 (CoRR, 2024)

Deep Attention Learning for Pre-operative Lymph Node Metastasis Prediction in Pancreatic Cancer via Multi-object Relationship Modeling. - Zhilin Zheng; Xu Fang; Jiawen Yao; Mengmeng Zhu; Le Lu 001; Yu Shi; Hong Lu; Jianping Lu; Ling Zhang 002; Chengwei Shao; Yun Bian (Int. J. Comput. Vis., 2025)

Correction: Deep Attention Learning for Pre-operative Lymph Node Metastasis Prediction in Pancreatic Cancer via Multi-object Relationship Modeling. - Zhilin Zheng; Xu Fang; Jiawen Yao; Mengmeng Zhu; Le Lu 001; Yu Shi; Hong Lu; Jianping Lu; Ling Zhang 002; Chengwei Shao; Yun Bian (Int. J. Comput. Vis., 2025)