Deep boosting: Layered feature mining for general image classification. - Zhanglin Peng; Liang Lin; Ruimao Zhang; Jing Xu (ICME, 2014)

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

Deep Boosting: Joint feature selection and analysis dictionary learning in hierarchy. - Zhanglin Peng; Ya Li; Zhaoquan Cai 001; Liang Lin (Neurocomputing, 2016)

Facial age estimation by using stacked feature composition and selection. - Ya Li; Zhanglin Peng; Depeng Liang; Huiyou Chang; Zhaoquan Cai 001 (Vis. Comput., 2016)

Progressively Diffused Networks for Semantic Image Segmentation. - Ruimao Zhang; Wei Yang 019; Zhanglin Peng; Xiaogang Wang 001; Liang Lin (CoRR, 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)

Scheduling Large-scale Distributed Training via Reinforcement Learning. - Zhanglin Peng; Jiamin Ren; Ruimao Zhang; Lingyun Wu; Xinjiang Wang; Ping Luo 002 (IEEE BigData, 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 002 (IEEE BigData, 2018)

Differentiable Learning-to-Normalize via Switchable Normalization. - Ping Luo 002; Jiamin Ren; Zhanglin Peng (CoRR, 2018)

Do Normalization Layers in a Deep ConvNet Really Need to Be Distinct? - Ping Luo 002; Zhanglin Peng; Jiamin Ren; Ruimao Zhang (CoRR, 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)

Differentiable Learning-to-Group Channels via Groupable Convolutional Neural Networks. - Zhaoyang Zhang 004; Jingyu Li; Wenqi Shao; Zhanglin Peng; Ruimao Zhang; Xiaogang Wang 001; Ping Luo 002 (ICCV, 2019)

Differentiable Learning-to-Normalize via Switchable Normalization. - Ping Luo 002; Jiamin Ren; Zhanglin Peng; Ruimao Zhang; Jingyu Li (ICLR (Poster), 2019)

Towards Understanding Regularization in Batch Normalization. - Ping Luo 002; Xinjiang Wang; Wenqi Shao; Zhanglin Peng (ICLR (Poster), 2019)

Differentiable Dynamic Normalization for Learning Deep Representation. - Ping Luo 002; Zhanglin Peng; Wenqi Shao; Ruimao Zhang; Jiamin Ren; Lingyun Wu (ICML, 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)

Derivation of personalized numerical scales from distribution linguistic preference relations: an expected consistency-based goal programming approach. - Xiaoan Tang; Qiang Zhang 010; Zhanglin Peng; Shanlin Yang; Witold Pedrycz (Neural Comput. Appl., 2019)

Progressively diffused networks for semantic visual parsing. - Ruimao Zhang; Wei Yang 019; Zhanglin Peng; Pengxu Wei; Xiaogang Wang 001; Liang Lin (Pattern Recognit., 2019)

Exemplar Normalization for Learning Deep Representation. - Ruimao Zhang; Zhanglin Peng; Lingyun Wu; Zhen Li 026; Ping Luo 002 (CVPR, 2020)

AIM 2020 Challenge on Learned Image Signal Processing Pipeline. - Andrey Ignatov; Radu Timofte; Zhilu Zhang 001; Ming Liu 018; Haolin Wang; Wangmeng Zuo; Jiawei Zhang 002; Ruimao Zhang; Zhanglin Peng; Sijie Ren; Linhui Dai; Xiaohong Liu 001; et al. (ECCV Workshops (3), 2020)

Distribution linguistic preference relations with incomplete symbolic proportions for group decision making. - Xiaoan Tang; Qiang Zhang 010; 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 001; Ming Liu 018; Haolin Wang; Wangmeng Zuo; Jiawei Zhang 002; Ruimao Zhang; Zhanglin Peng; Sijie Ren; Linhui Dai; Xiaohong Liu 001; et al. (CoRR, 2020)

A review-driven customer preference measurement model for product improvement: sentiment-based importance-performance analysis. - Anning Wang; Qiang Zhang 010; 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 010; Witold Pedrycz; Shanlin Yang (Knowl. Based Syst., 2020)

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 010; 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 002; Ruimao Zhang; Jiamin Ren; Zhanglin Peng; Jingyu Li (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

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 097; Ruimao Zhang; Zhanglin Peng; Junle Wang; Yanqing Jing (CoRR, 2022)

Foundation Model is Efficient Multimodal Multitask Model Selector. - Fanqing Meng; Wenqi Shao; Zhanglin Peng; Chonghe Jiang; Kaipeng Zhang; Yu Qiao 001; Ping Luo 002 (NeurIPS, 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)

Community Channel-Net: Efficient channel-wise interactions via community graph topology. - Fan Feng; Qi Liu 042; Zhanglin Peng; Ruimao Zhang; Rosa H. M. Chan (Pattern Recognit., 2023)

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)

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)