Zhilin Zheng

According to our database, Zhilin Zheng authored at least 16 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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, Le Lu, Dingwen Zhang, Jian Zhou, Ling Zhang

CoRR, 2024

2023

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, Lingyun Huang, Jing Xiao, Yu Shi, Hong Lu, Jianping Lu, Ling Zhang, Chengwei Shao, Yun Bian

CoRR, 2023

2021

Knowledge Distillation with Adaptive Asymmetric Label Sharpening for Semi-supervised Fracture Detection in Chest X-Rays.

Yirui Wang, Kang Zheng, Chi-Tung Cheng, Xiao-Yun Zhou, Zhilin Zheng, Jing Xiao, Le Lu, Chien-Hung Liao, Shun Miao

Proceedings of the Information Processing in Medical Imaging, 2021

Bridging the Gap between Label- and Reference-based Synthesis in Multi-attribute Image-to-Image Translation.

Qiusheng Huang, Zhilin Zheng, Xueqi Hu, Li Sun, Qingli Li

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Knowledge Distillation with Adaptive Asymmetric Label Sharpening for Semi-supervised Fracture Detection in Chest X-rays.

Yirui Wang, Kang Zheng, Chi-Tung Chang, Xiao-Yun Zhou, Zhilin Zheng, Lingyun Huang, Jing Xiao, Le Lu, Chien-Hung Liao, Shun Miao

CoRR, 2020

Learning Posterior and Prior for Uncertainty Modeling in Person Re-Identification.

Yan Zhang, Zhilin Zheng, Binyu He, Li Sun

CoRR, 2020

Disentangling The Spatial Structure And Style In Conditional VAE.

Ziye Zhang, Li Sun, Zhilin Zheng, Qingli Li

Proceedings of the IEEE International Conference on Image Processing, 2020

2019

Disentangling Latent Space for VAE by Label Relevant/Irrelevant Dimensions.

Zhilin Zheng, Li Sun

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2017

Learning Group Composition and Re-composition in Large-scale Online Learning Contexts

Zhilin Zheng

PhD thesis, 2017

Recomposing Small Learning Groups at Scale - A Data-driven Approach and a Simulation Experiment.

Zhilin Zheng, Niels Pinkwart

Proceedings of the Bildungsräume 2017: DeLFI 2017, 2017

2016

Perfect Scores Indicate Good Students !? The Case of One Hundred Percenters in a Math Learning System.

Zhilin Zheng, Martin Stapel, Niels Pinkwart

Proceedings of the 9th International Conference on Educational Data Mining, 2016

An Ensemble Method to Predict Student Performance in an Online Math Learning Environment.

Martin Stapel, Zhilin Zheng, Niels Pinkwart

Proceedings of the 9th International Conference on Educational Data Mining, 2016

2015

The Impact of Small Learning Group Composition on Drop-Out Rate and Learning Performance in a MOOC.

Zhilin Zheng, Tim Vogelsang, Niels Pinkwart

Proceedings of the 8th International Conference on Educational Data Mining, 2015

2014

A Discrete Particle Swarm Optimization Approach to Compose Heterogeneous Learning Groups.

Zhilin Zheng, Niels Pinkwart

Proceedings of the IEEE 14th International Conference on Advanced Learning Technologies, 2014

Dynamic Re-Composition of Learning Groups Using PSO-Based Algorithms.

Zhilin Zheng, Niels Pinkwart

Proceedings of the 7th International Conference on Educational Data Mining, 2014

2013

A Dynamic Group Composition Method to Refine Collaborative Learning Group Formation.

Zhilin Zheng

Proceedings of the 6th International Conference on Educational Data Mining, 2013