Zhanglin Peng

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 42

Top Topics

Processing Pipeline

Influencing Factors

Product Configuration

Top Venues

Adv. Eng. Informatics

Publications

Zhanglin Peng, Xinru Hu, Keyu Zhu, Shantao Zhao, Shuqi Zhu, Xiaonong Lu
An evaluation model for selection of large-scale product concept design schemes in design crowdsourcing environment. Adv. Eng. Informatics 62 (2024)
Ziyi Tang, Ruimao Zhang, Zhanglin Peng, Jinrui Chen, Liang Lin
Multi-Stage Spatio-Temporal Aggregation Transformer for Video Person Re-Identification. IEEE Trans. Multim. 25 (2023)
Fan Feng, Qi Liu, Zhanglin Peng, Ruimao Zhang, Rosa H. M. Chan
Community Channel-Net: Efficient channel-wise interactions via community graph topology. Pattern Recognit. 141 (2023)
Fanqing Meng, Wenqi Shao, Zhanglin Peng, Chonghe Jiang, Kaipeng Zhang, Yu Qiao, Ping Luo
Foundation Model is Efficient Multimodal Multitask Model Selector. CoRR (2023)
Fanqing Meng, Wenqi Shao, Zhanglin Peng, Chonghe Jiang, Kaipeng Zhang, Yu Qiao, Ping Luo
Foundation Model is Efficient Multimodal Multitask Model Selector. NeurIPS (2023)
Ziyi Tang, Ruimao Zhang, Zhanglin Peng, Jinrui Chen, Liang Lin
Multi-Stage Spatio-Temporal Aggregation Transformer for Video Person Re-identification. CoRR (2023)
Shuangyao Zhao, Qiang Zhang, Zhanglin Peng, Xiaonong Lu
Product platform configuration for product families: Module clustering based on product architecture and manufacturing process. Adv. Eng. Informatics 52 (2022)
Hao Zhang, Ruimao Zhang, Zhanglin Peng, Junle Wang, Yanqing Jing
Active Domain Adaptation with Multi-level Contrastive Units for Semantic Segmentation. CoRR (2022)
Ping Luo, Ruimao Zhang, Jiamin Ren, Zhanglin Peng, Jingyu Li
Switchable Normalization for Learning-to-Normalize Deep Representation. IEEE Trans. Pattern Anal. Mach. Intell. 43 (2) (2021)
Qiang Zhang, Zhanglin Peng, Xiaonong Lu, Han Su, Wenxing Lu
An adaptive agent-based process model for optimizing innovative design. Optim. Lett. 15 (2) (2021)
Xiaonong Lu, Zhanglin Peng, Qiang Zhang, Shanlin Yang
Event-based optimization approach for solving stochastic decision problems with probabilistic constraint. Optim. Lett. 15 (2) (2021)
Xu Zhang, Zhanglin Peng, Qiang Zhang, Xiaonong Lu, Hao Song
User participation behaviour in crowdsourcing initiatives: influencing factors, related theories and incentive strategies. Int. J. Ad Hoc Ubiquitous Comput. 38 (1/2/3) (2021)
Anning Wang, Qiang Zhang, Shuangyao Zhao, Xiaonong Lu, Zhanglin Peng
A review-driven customer preference measurement model for product improvement: sentiment-based importance-performance analysis. Inf. Syst. E Bus. Manag. 18 (1) (2020)
Xiaoan Tang, Qiang Zhang, Zhanglin Peng, Witold Pedrycz, Shanlin Yang
Distribution linguistic preference relations with incomplete symbolic proportions for group decision making. Appl. Soft Comput. 88 (2020)
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
AIM 2020 Challenge on Learned Image Signal Processing Pipeline. ECCV Workshops (3) (2020)
Xiaoan Tang, Zhanglin Peng, Qiang Zhang, Witold Pedrycz, Shanlin Yang
Consistency and consensus-driven models to personalize individual semantics of linguistic terms for supporting group decision making with distribution linguistic preference relations. Knowl. Based Syst. 189 (2020)
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
AIM 2020 Challenge on Learned Image Signal Processing Pipeline. CoRR (2020)
Shuangyao Zhao, Qiang Zhang, Zhanglin Peng, Xiaonong Lu
Personalized manufacturing service composition recommendation: combining combinatorial optimization and collaborative filtering. J. Comb. Optim. 40 (3) (2020)
Ruimao Zhang, Zhanglin Peng, Lingyun Wu, Zhen Li, Ping Luo
Exemplar Normalization for Learning Deep Representation. CVPR (2020)
Ruimao Zhang, Zhanglin Peng, Lingyun Wu, Zhen Li, Ping Luo
Exemplar Normalization for Learning Deep Representation. CoRR (2020)
Shuangyao Zhao, Qiang Zhang, Zhanglin Peng, Yu Fan
Integrating customer requirements into customized product configuration design based on Kano's model. J. Intell. Manuf. 31 (3) (2020)
Ping Luo, Xinjiang Wang, Wenqi Shao, Zhanglin Peng
Towards Understanding Regularization in Batch Normalization. ICLR (Poster) (2019)
Qiang Zhang, Xiaonong Lu, Zhanglin Peng, Minglun Ren
Perspective: a review of lifecycle management research on complex products in smart-connected environments. Int. J. Prod. Res. 57 (21) (2019)
Ping Luo, Jiamin Ren, Zhanglin Peng, Ruimao Zhang, Jingyu Li
Differentiable Learning-to-Normalize via Switchable Normalization. ICLR (Poster) (2019)
Ping Luo, Zhanglin Peng, Wenqi Shao, Ruimao Zhang, Jiamin Ren, Lingyun Wu
Differentiable Dynamic Normalization for Learning Deep Representation. ICML (2019)
Ruimao Zhang, Wei Yang, Zhanglin Peng, Pengxu Wei, Xiaogang Wang, Liang Lin
Progressively diffused networks for semantic visual parsing. Pattern Recognit. 90 (2019)
Zhaoyang Zhang, Jingyu Li, Wenqi Shao, Zhanglin Peng, Ruimao Zhang, Xiaogang Wang, Ping Luo
Differentiable Learning-to-Group Channels via Groupable Convolutional Neural Networks. CoRR (2019)
Zhaoyang Zhang, Jingyu Li, Wenqi Shao, Zhanglin Peng, Ruimao Zhang, Xiaogang Wang, Ping Luo
Differentiable Learning-to-Group Channels via Groupable Convolutional Neural Networks. ICCV (2019)
Xiaoan Tang, Qiang Zhang, Zhanglin Peng, Shanlin Yang, Witold Pedrycz
Derivation of personalized numerical scales from distribution linguistic preference relations: an expected consistency-based goal programming approach. Neural Comput. Appl. 31 (12) (2019)
Ping Luo, Ruimao Zhang, Jiamin Ren, Zhanglin Peng, Jingyu Li
Switchable Normalization for Learning-to-Normalize Deep Representation. CoRR (2019)
Ping Luo, Jiamin Ren, Zhanglin Peng
Differentiable Learning-to-Normalize via Switchable Normalization. CoRR (2018)
Ping Luo, Zhanglin Peng, Jiamin Ren, Ruimao Zhang
Do Normalization Layers in a Deep ConvNet Really Need to Be Distinct? CoRR (2018)
Zhanglin Peng, Jiamin Ren, Ruimao Zhang, Lingyun Wu, Xinjiang Wang, Ping Luo
Scheduling Large-scale Distributed Training via Reinforcement Learning. IEEE BigData (2018)
Xiaoan Tang, Zhanglin Peng, Haining Ding, Manli Cheng, Shanlin Yang
Novel distance and similarity measures for hesitant fuzzy sets and their applications to multiple attribute decision making. J. Intell. Fuzzy Syst. 34 (6) (2018)
Zhanglin Peng, Lingyun Wu, Jiamin Ren, Ruimao Zhang, Ping Luo
CUImage: A Neverending Learning Platform on a Convolutional Knowledge Graph of Billion Web Images. IEEE BigData (2018)
Ping Luo, Xinjiang Wang, Wenqi Shao, Zhanglin Peng
Towards Understanding Regularization in Batch Normalization. CoRR (2018)
Qiang Zhang, Desheng Wu, Chao Fu, Claude Baron, Zhanglin Peng
A new method for measuring process flexibility of product design. Int. Trans. Oper. Res. 24 (4) (2017)
Ruimao Zhang, Wei Yang, Zhanglin Peng, Xiaogang Wang, Liang Lin
Progressively Diffused Networks for Semantic Image Segmentation. CoRR (2017)
Zhanglin Peng, Ruimao Zhang, Xiaodan Liang, Xiaobai Liu, Liang Lin
Geometric Scene Parsing with Hierarchical LSTM. CoRR (2016)
Zhanglin Peng, Ya Li, Zhaoquan Cai, Liang Lin
Deep Boosting: Joint feature selection and analysis dictionary learning in hierarchy. Neurocomputing 178 (2016)
Zhanglin Peng, Ruimao Zhang, Xiaodan Liang, Xiaobai Liu, Liang Lin
Geometric Scene Parsing with Hierarchical LSTM. IJCAI (2016)
Ya Li, Zhanglin Peng, Depeng Liang, Huiyou Chang, Zhaoquan Cai
Facial age estimation by using stacked feature composition and selection. Vis. Comput. 32 (12) (2016)
Zhanglin Peng, Ya Li, Zhaoquan Cai, Liang Lin
Deep Boosting: Joint Feature Selection and Analysis Dictionary Learning in Hierarchy. CoRR (2015)
Zhanglin Peng, Liang Lin, Ruimao Zhang, Jing Xu
Deep Boosting: Layered Feature Mining for General Image Classification. CoRR (2015)
Zhanglin Peng, Liang Lin, Ruimao Zhang, Jing Xu
Deep boosting: Layered feature mining for general image classification. ICME (2014)