Economic design of a self-healing policy with limited agents - Rui Zheng; Yuan Xing; Zhanglin Peng; Xiangyun Ren; Kanlun Tan (Comput. Ind. Eng., 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)

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)

Condition-based maintenance for a balanced system considering dependent soft and hard failures - Rui Zheng; Haojun Fang; Zhanglin Peng (Comput. Ind. Eng., 2024)

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., 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 (Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023, 2023)

Multi-Stage Spatio-Temporal Aggregation Transformer for Video Person Re-identification - Ziyi Tang; Ruimao Zhang; Zhanglin Peng; Jinrui Chen; Liang Lin (CoRR, 2023)

Foundation Model is Efficient Multimodal Multitask Model Selector - Fanqing Meng; Wenqi Shao; Zhanglin Peng; Chonghe Jiang; Kaipeng Zhang; Yu Qiao; Ping Luo (CoRR, 2023)

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)

Active Domain Adaptation with Multi-level Contrastive Units for Semantic Segmentation - Hao Zhang; Ruimao Zhang; Zhanglin Peng; Junle Wang; Yanqing Jing (CoRR, 2022)

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)

Event-based optimization approach for solving stochastic decision problems with probabilistic constraint - Xiaonong Lu; Zhanglin Peng; Qiang Zhang; Shanlin Yang (Optim. Lett., 2021)

An adaptive agent-based process model for optimizing innovative design - Qiang Zhang; Zhanglin Peng; Xiaonong Lu; Han Su; Wenxing Lu (Optim. Lett., 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)

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)

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)

Personalized manufacturing service composition recommendation: combining combinatorial optimization and collaborative filtering - Shuangyao Zhao; Qiang Zhang; Zhanglin Peng; Xiaonong Lu (J. Comb. Optim., 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)

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)

Exemplar Normalization for Learning Deep Representation - Ruimao Zhang; Zhanglin Peng; Lingyun Wu; Zhen Li; Ping Luo (2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2020, Seattle, WA, USA, June 13-19, 2020, 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; et al. (Computer Vision - ECCV 2020 Workshops - Glasgow, UK, August 23-28, 2020, Proceedings, Part III, 2020)

Exemplar Normalization for Learning Deep Representation - Ruimao Zhang; Zhanglin Peng; Lingyun Wu; Zhen Li; Ping Luo (CoRR, 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; et al. (CoRR, 2020)

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)

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)

Progressively diffused networks for semantic visual parsing - Ruimao Zhang; Wei Yang; Zhanglin Peng; Pengxu Wei; Xiaogang Wang; Liang Lin (Pattern Recognit., 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 (2019 IEEE/CVF International Conference on Computer Vision, ICCV 2019, Seoul, Korea (South), October 27 - November 2, 2019, 2019)

Differentiable Learning-to-Normalize via Switchable Normalization - Ping Luo; Jiamin Ren; Zhanglin Peng; Ruimao Zhang; Jingyu Li (7th International Conference on Learning Representations, ICLR 2019, New Orleans, LA, USA, May 6-9, 2019, 2019)

Towards Understanding Regularization in Batch Normalization - Ping Luo; Xinjiang Wang; Wenqi Shao; Zhanglin Peng (7th International Conference on Learning Representations, ICLR 2019, New Orleans, LA, USA, May 6-9, 2019, 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, ICML 2019, 9-15 June 2019, Long Beach, California, USA, 2019)

Switchable Normalization for Learning-to-Normalize Deep Representation - Ping Luo; Ruimao Zhang; Jiamin Ren; Zhanglin Peng; Jingyu Li (CoRR, 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 (CoRR, 2019)

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)

CUImage: A Neverending Learning Platform on a Convolutional Knowledge Graph of Billion Web Images - Zhanglin Peng; Lingyun Wu; Jiamin Ren; Ruimao Zhang; Ping Luo (IEEE International Conference on Big Data (IEEE BigData 2018), Seattle, WA, USA, December 10-13, 2018, 2018)

Scheduling Large-scale Distributed Training via Reinforcement Learning - Zhanglin Peng; Jiamin Ren; Ruimao Zhang; Lingyun Wu; Xinjiang Wang; Ping Luo (IEEE International Conference on Big Data (IEEE BigData 2018), Seattle, WA, USA, December 10-13, 2018, 2018)

Differentiable Learning-to-Normalize via Switchable Normalization - Ping Luo; Jiamin Ren; Zhanglin Peng (CoRR, 2018)

Towards Understanding Regularization in Batch Normalization - Ping Luo; Xinjiang Wang; Wenqi Shao; Zhanglin Peng (CoRR, 2018)

Do Normalization Layers in a Deep ConvNet Really Need to Be Distinct? - Ping Luo; Zhanglin Peng; Jiamin Ren; Ruimao Zhang (CoRR, 2018)

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)

Deep Boosting: Joint feature selection and analysis dictionary learning in hierarchy - Zhanglin Peng; Ya Li; Zhaoquan Cai; Liang Lin (Neurocomputing, 2016)

Facial age estimation by using stacked feature composition and selection - Ya Li; Zhanglin Peng; Depeng Liang; Huiyou Chang; Zhaoquan Cai (Vis. Comput., 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, IJCAI 2016, New York, NY, USA, 9-15 July 2016, 2016)

Geometric Scene Parsing with Hierarchical LSTM - Zhanglin Peng; Ruimao Zhang; Xiaodan Liang; Xiaobai Liu; Liang Lin (CoRR, 2016)

Deep Boosting: Layered Feature Mining for General Image Classification - Zhanglin Peng; Liang Lin; Ruimao Zhang; Jing Xu (CoRR, 2015)

Deep Boosting: Joint Feature Selection and Analysis Dictionary Learning in Hierarchy - Zhanglin Peng; Ya Li; Zhaoquan Cai; Liang Lin (CoRR, 2015)

Deep boosting: Layered feature mining for general image classification - Zhanglin Peng; Liang Lin; Ruimao Zhang; Jing Xu (IEEE International Conference on Multimedia and Expo, ICME 2014, Chengdu, China, July 14-18, 2014, 2014)