Zhanglin Peng

According to our database, Zhanglin Peng authored at least 38 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2025

A novel integrated prediction method using adaptive mode decomposition, attention mechanism and deep learning for coking products prices.

Xuhui Zhu, Chenggong Ma, Hao Lei, Pingfan Xia, Zhanglin Peng

Eng. Appl. Artif. Intell., 2025

2024

Condition-based maintenance for a balanced system considering dependent soft and hard failures.

Rui Zheng, Haojun Fang, Zhanglin Peng

Comput. Ind. Eng., 2024

An evaluation model for selection of large-scale product concept design schemes in design crowdsourcing environment.

Zhanglin Peng, Xinru Hu, Keyu Zhu, Shantao Zhao, Shuqi Zhu, Xiaonong Lu

Adv. Eng. Informatics, 2024

2023

Community Channel-Net: Efficient channel-wise interactions via community graph topology.

Fan Feng, Qi Liu, Zhanglin Peng, Ruimao Zhang, Rosa H. M. Chan

Pattern Recognit., September, 2023

Multi-Stage Spatio-Temporal Aggregation Transformer for Video Person Re-Identification.

Ziyi Tang, Ruimao Zhang, Zhanglin Peng, Jinrui Chen, Liang Lin

IEEE Trans. Multim., 2023

Foundation Model is Efficient Multimodal Multitask Model Selector.

Fanqing Meng, Wenqi Shao, Zhanglin Peng, Chonghe Jiang, Kaipeng Zhang, Yu Qiao, Ping Luo

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Active Domain Adaptation with Multi-level Contrastive Units for Semantic Segmentation.

Hao Zhang, Ruimao Zhang, Zhanglin Peng, Junle Wang, Yanqing Jing

CoRR, 2022

Product platform configuration for product families: Module clustering based on product architecture and manufacturing process.

Shuangyao Zhao, Qiang Zhang, Zhanglin Peng, Xiaonong Lu

Adv. Eng. Informatics, 2022

2021

Switchable Normalization for Learning-to-Normalize Deep Representation.

Ping Luo, Ruimao Zhang, Jiamin Ren, Zhanglin Peng, Jingyu Li

IEEE Trans. Pattern Anal. Mach. Intell., 2021

An adaptive agent-based process model for optimizing innovative design.

Qiang Zhang, Zhanglin Peng, Xiaonong Lu, Han Su, Wenxing Lu

Optim. Lett., 2021

Event-based optimization approach for solving stochastic decision problems with probabilistic constraint.

Xiaonong Lu, Zhanglin Peng, Qiang Zhang, Shanlin Yang

Optim. Lett., 2021

User participation behaviour in crowdsourcing initiatives: influencing factors, related theories and incentive strategies.

Xu Zhang, Zhanglin Peng, Qiang Zhang, Xiaonong Lu, Hao Song

Int. J. Ad Hoc Ubiquitous Comput., 2021

2020

Consistency and consensus-driven models to personalize individual semantics of linguistic terms for supporting group decision making with distribution linguistic preference relations.

Xiaoan Tang, Zhanglin Peng, Qiang Zhang, Witold Pedrycz, Shanlin Yang

Knowl. Based Syst., 2020

Integrating customer requirements into customized product configuration design based on Kano's model.

Shuangyao Zhao, Qiang Zhang, Zhanglin Peng, Yu Fan

J. Intell. Manuf., 2020

Personalized manufacturing service composition recommendation: combining combinatorial optimization and collaborative filtering.

Shuangyao Zhao, Qiang Zhang, Zhanglin Peng, Xiaonong Lu

J. Comb. Optim., 2020

A review-driven customer preference measurement model for product improvement: sentiment-based importance-performance analysis.

Anning Wang, Qiang Zhang, Shuangyao Zhao, Xiaonong Lu, Zhanglin Peng

Inf. Syst. E Bus. Manag., 2020

AIM 2020 Challenge on Learned Image Signal Processing Pipeline.

Andrey Ignatov, Radu Timofte, Zhilu Zhang, Ming Liu, Haolin Wang, Wangmeng Zuo, Jiawei Zhang, Ruimao Zhang, Zhanglin Peng, Sijie Ren, Linhui Dai, Xiaohong Liu, Chengqi Li, Jun Chen, Yuichi Ito, Bhavya Vasudeva, Puneesh Deora, Umapada Pal, Zhenyu Guo, Yu Zhu, Tian Liang, Chenghua Li, Cong Leng, Zhihong Pan, Baopu Li, Byung-Hoon Kim, Joonyoung Song, Jong Chul Ye, JaeHyun Baek, Magauiya Zhussip, Yeskendir Koishekenov, Hwechul Cho, Xin Liu, Xueying Hu, Jun Jiang, Jinwei Gu, Kai Li, Pengliang Tang, Bingxin Hou

CoRR, 2020

Distribution linguistic preference relations with incomplete symbolic proportions for group decision making.

Xiaoan Tang, Qiang Zhang, Zhanglin Peng, Witold Pedrycz, Shanlin Yang

Appl. Soft Comput., 2020

AIM 2020 Challenge on Learned Image Signal Processing Pipeline.

Andrey Ignatov, Radu Timofte, Zhilu Zhang, Ming Liu, Haolin Wang, Wangmeng Zuo, Jiawei Zhang, Ruimao Zhang, Zhanglin Peng, Sijie Ren, Linhui Dai, Xiaohong Liu, Chengqi Li, Jun Chen, Yuichi Ito, Bhavya Vasudeva, Puneesh Deora, Umapada Pal, Zhenyu Guo, Yu Zhu, Tian Liang, Chenghua Li, Cong Leng, Zhihong Pan, Baopu Li, Byung-Hoon Kim, Joonyoung Song, Jong Chul Ye, JaeHyun Baek, Magauiya Zhussip, Yeskendir Koishekenov, Hwechul Cho Ye, Xin Liu, Xueying Hu, Jun Jiang, Jinwei Gu, Kai Li, Pengliang Tang, Bingxin Hou

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Exemplar Normalization for Learning Deep Representation.

Ruimao Zhang, Zhanglin Peng, Lingyun Wu, Zhen Li, Ping Luo

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Progressively diffused networks for semantic visual parsing.

Ruimao Zhang, Wei Yang, Zhanglin Peng, Pengxu Wei, Xiaogang Wang, Liang Lin

Pattern Recognit., 2019

Derivation of personalized numerical scales from distribution linguistic preference relations: an expected consistency-based goal programming approach.

Xiaoan Tang, Qiang Zhang, Zhanglin Peng, Shanlin Yang, Witold Pedrycz

Neural Comput. Appl., 2019

Perspective: a review of lifecycle management research on complex products in smart-connected environments.

Qiang Zhang, Xiaonong Lu, Zhanglin Peng, Minglun Ren

Int. J. Prod. Res., 2019

Differentiable Dynamic Normalization for Learning Deep Representation.

Ping Luo, Zhanglin Peng, Wenqi Shao, Ruimao Zhang, Jiamin Ren, Lingyun Wu

Proceedings of the 36th International Conference on Machine Learning, 2019

Towards Understanding Regularization in Batch Normalization.

Ping Luo, Xinjiang Wang, Wenqi Shao, Zhanglin Peng

Proceedings of the 7th International Conference on Learning Representations, 2019

Differentiable Learning-to-Normalize via Switchable Normalization.

Ping Luo, Jiamin Ren, Zhanglin Peng, Ruimao Zhang, Jingyu Li

Proceedings of the 7th International Conference on Learning Representations, 2019

Differentiable Learning-to-Group Channels via Groupable Convolutional Neural Networks.

Zhaoyang Zhang, Jingyu Li, Wenqi Shao, Zhanglin Peng, Ruimao Zhang, Xiaogang Wang, Ping Luo

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Novel distance and similarity measures for hesitant fuzzy sets and their applications to multiple attribute decision making.

Xiaoan Tang, Zhanglin Peng, Haining Ding, Manli Cheng, Shanlin Yang

J. Intell. Fuzzy Syst., 2018

Do Normalization Layers in a Deep ConvNet Really Need to Be Distinct?

Ping Luo, Zhanglin Peng, Jiamin Ren, Ruimao Zhang

CoRR, 2018

Differentiable Learning-to-Normalize via Switchable Normalization.

Ping Luo, Jiamin Ren, Zhanglin Peng

CoRR, 2018

CUImage: A Neverending Learning Platform on a Convolutional Knowledge Graph of Billion Web Images.

Zhanglin Peng, Lingyun Wu, Jiamin Ren, Ruimao Zhang, Ping Luo

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Scheduling Large-scale Distributed Training via Reinforcement Learning.

Zhanglin Peng, Jiamin Ren, Ruimao Zhang, Lingyun Wu, Xinjiang Wang, Ping Luo

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

A new method for measuring process flexibility of product design.

Qiang Zhang, Desheng Wu, Chao Fu, Claude Baron, Zhanglin Peng

Int. Trans. Oper. Res., 2017

Progressively Diffused Networks for Semantic Image Segmentation.

Ruimao Zhang, Wei Yang, Zhanglin Peng, Xiaogang Wang, Liang Lin

CoRR, 2017

2016

Facial age estimation by using stacked feature composition and selection.

Ya Li, Zhanglin Peng, Depeng Liang, Huiyou Chang, Zhaoquan Cai

Vis. Comput., 2016

Deep Boosting: Joint feature selection and analysis dictionary learning in hierarchy.

Zhanglin Peng, Ya Li, Zhaoquan Cai, Liang Lin

Neurocomputing, 2016

Geometric Scene Parsing with Hierarchical LSTM.

Zhanglin Peng, Ruimao Zhang, Xiaodan Liang, Xiaobai Liu, Liang Lin

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2014

Deep boosting: Layered feature mining for general image classification.

Zhanglin Peng, Liang Lin, Ruimao Zhang, Jing Xu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2014