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ORCIDZhanglin Peng
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2020 – today
- 2025
[j22]Xuhui Zhu, Chenggong Ma, Hao Lei, Pingfan Xia, Zhanglin Peng:
A novel integrated prediction method using adaptive mode decomposition, attention mechanism and deep learning for coking products prices. Eng. Appl. Artif. Intell. 139: 109504 (2025)- 2024
- [j21]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: 102680 (2024) - [j20]Rui Zheng
, Haojun Fang, Zhanglin Peng:
Condition-based maintenance for a balanced system considering dependent soft and hard failures. Comput. Ind. Eng. 197: 110550 (2024) - 2023
- [j19]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: 109536 (2023) - [j18]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: 7917-7929 (2023) - [c11]Fanqing Meng, Wenqi Shao, Zhanglin Peng, Chonghe Jiang, Kaipeng Zhang, Yu Qiao, Ping Luo:
Foundation Model is Efficient Multimodal Multitask Model Selector. NeurIPS 2023 - [i14]Ziyi Tang, Ruimao Zhang, Zhanglin Peng, Jinrui Chen, Liang Lin:
Multi-Stage Spatio-Temporal Aggregation Transformer for Video Person Re-identification. CoRR abs/2301.00531 (2023) - [i13]Fanqing Meng, Wenqi Shao, Zhanglin Peng, Chonghe Jiang, Kaipeng Zhang, Yu Qiao, Ping Luo:
Foundation Model is Efficient Multimodal Multitask Model Selector. CoRR abs/2308.06262 (2023) - 2022
- [j17]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: 101622 (2022) - [i12]Hao Zhang, Ruimao Zhang, Zhanglin Peng, Junle Wang, Yanqing Jing:
Active Domain Adaptation with Multi-level Contrastive Units for Semantic Segmentation. CoRR abs/2205.11192 (2022) - 2021
- [j16]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): 30-44 (2021) - [j15]Xiaonong Lu, Zhanglin Peng, Qiang Zhang, Shanlin Yang:
Event-based optimization approach for solving stochastic decision problems with probabilistic constraint. Optim. Lett. 15(2): 569-590 (2021) - [j14]Qiang Zhang, Zhanglin Peng, Xiaonong Lu, Han Su, Wenxing Lu:
An adaptive agent-based process model for optimizing innovative design. Optim. Lett. 15(2): 591-612 (2021) - [j13]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): 712-728 (2021) - 2020
- [j12]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: 106005 (2020) - [j11]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): 61-88 (2020) - [j10]Shuangyao Zhao, Qiang Zhang, Zhanglin Peng, Xiaonong Lu:
Personalized manufacturing service composition recommendation: combining combinatorial optimization and collaborative filtering. J. Comb. Optim. 40(3): 733-756 (2020) - [j9]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): 597-613 (2020) - [j8]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) - [c10]Ruimao Zhang, Zhanglin Peng, Lingyun Wu, Zhen Li, Ping Luo:
Exemplar Normalization for Learning Deep Representation. CVPR 2020: 12723-12732 - [c9]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: 152-170 - [i11]Ruimao Zhang, Zhanglin Peng, Lingyun Wu, Zhen Li, Ping Luo:
Exemplar Normalization for Learning Deep Representation. CoRR abs/2003.08761 (2020) - [i10]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 abs/2011.04994 (2020)
2010 – 2019
- 2019
- [j7]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): 6758-6779 (2019) - [j6]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): 8769-8786 (2019) - [j5]Ruimao Zhang, Wei Yang, Zhanglin Peng, Pengxu Wei, Xiaogang Wang, Liang Lin:
Progressively diffused networks for semantic visual parsing. Pattern Recognit. 90: 78-86 (2019) - [c8]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: 3541-3550 - [c7]Ping Luo, Jiamin Ren, Zhanglin Peng, Ruimao Zhang, Jingyu Li:
Differentiable Learning-to-Normalize via Switchable Normalization. ICLR (Poster) 2019 - [c6]Ping Luo, Xinjiang Wang, Wenqi Shao, Zhanglin Peng:
Towards Understanding Regularization in Batch Normalization. ICLR (Poster) 2019 - [c5]Ping Luo, Zhanglin Peng, Wenqi Shao, Ruimao Zhang, Jiamin Ren, Lingyun Wu:
Differentiable Dynamic Normalization for Learning Deep Representation. ICML 2019: 4203-4211 - [i9]Ping Luo, Ruimao Zhang, Jiamin Ren, Zhanglin Peng, Jingyu Li:
Switchable Normalization for Learning-to-Normalize Deep Representation. CoRR abs/1907.10473 (2019) - [i8]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 abs/1908.05867 (2019) - 2018
- [j4]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): 3903-3916 (2018) - [c4]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: 1787-1796 - [c3]Zhanglin Peng, Jiamin Ren, Ruimao Zhang, Lingyun Wu, Xinjiang Wang, Ping Luo:
Scheduling Large-scale Distributed Training via Reinforcement Learning. IEEE BigData 2018: 1797-1806 - [i7]Ping Luo, Jiamin Ren, Zhanglin Peng:
Differentiable Learning-to-Normalize via Switchable Normalization. CoRR abs/1806.10779 (2018) - [i6]Ping Luo, Xinjiang Wang, Wenqi Shao, Zhanglin Peng:
Towards Understanding Regularization in Batch Normalization. CoRR abs/1809.00846 (2018) - [i5]Ping Luo, Zhanglin Peng, Jiamin Ren, Ruimao Zhang:
Do Normalization Layers in a Deep ConvNet Really Need to Be Distinct? CoRR abs/1811.07727 (2018) - 2017
- [j3]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): 821-838 (2017) - [i4]Ruimao Zhang, Wei Yang, Zhanglin Peng, Xiaogang Wang, Liang Lin:
Progressively Diffused Networks for Semantic Image Segmentation. CoRR abs/1702.05839 (2017) - 2016
- [j2]Zhanglin Peng, Ya Li, Zhaoquan Cai, Liang Lin:
Deep Boosting: Joint feature selection and analysis dictionary learning in hierarchy. Neurocomputing 178: 36-45 (2016) - [j1]Ya Li, Zhanglin Peng, Depeng Liang, Huiyou Chang, Zhaoquan Cai:
Facial age estimation by using stacked feature composition and selection. Vis. Comput. 32(12): 1525-1536 (2016) - [c2]Zhanglin Peng, Ruimao Zhang, Xiaodan Liang, Xiaobai Liu, Liang Lin:
Geometric Scene Parsing with Hierarchical LSTM. IJCAI 2016: 3439-3445 - [i3]Zhanglin Peng, Ruimao Zhang, Xiaodan Liang, Xiaobai Liu, Liang Lin:
Geometric Scene Parsing with Hierarchical LSTM. CoRR abs/1604.01931 (2016) - 2015
- [i2]Zhanglin Peng, Liang Lin, Ruimao Zhang, Jing Xu:
Deep Boosting: Layered Feature Mining for General Image Classification. CoRR abs/1502.00712 (2015) - [i1]Zhanglin Peng, Ya Li, Zhaoquan Cai, Liang Lin:
Deep Boosting: Joint Feature Selection and Analysis Dictionary Learning in Hierarchy. CoRR abs/1508.01887 (2015) - 2014
- [c1]Zhanglin Peng, Liang Lin, Ruimao Zhang, Jing Xu:
Deep boosting: Layered feature mining for general image classification. ICME 2014: 1-6
Coauthor Index
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