Zhanglin Peng

52 papers A* 5A 1Journal 41Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Novel Hybrid Price Prediction Method Using Multimodal Deep Learning and LLM for New Energy Power Raw Materials.
IEEE Trans. Engineering Management
Xuhui Zhu, Muzi Li, Pingfan Xia, Hao Lei, Zhanglin Peng
2026 J jnl
Intelligent Condition Monitoring for Battery Cell Manufacturing Equipment: A Dynamic Dilated Transformer Approach.
IEEE Trans. Ind. Informatics
Shantao Zhao, Zhanglin Peng, Xiaonong Lu, Qiang Zhang, Jiawen Xu, Shanlin Yang
2025 J jnl
A novel integrated prediction method using adaptive mode decomposition, attention mechanism and deep learning for coking products prices.
Eng. Appl. Artif. Intell.
Xuhui Zhu, Chenggong Ma, Hao Lei, Pingfan Xia, Zhanglin Peng
2025 J jnl
Economic design of a self-healing policy with limited agents.
Comput. Ind. Eng.
Rui Zheng, Yuan Xing, Zhanglin Peng, Xiangyun Ren, Kanlun Tan
2025 J jnl
GauDP: Reinventing Multi-Agent Collaboration through Gaussian-Image Synergy in Diffusion Policies.
CoRR
Ziye Wang, Li Kang, Yiran Qin, Jiahua Ma, Zhanglin Peng, Lei Bai, Ruimao Zhang
2025 J jnl
Hybrid price prediction method combining TCN-BiGRU and attention mechanism for battery-grade lithium carbonate.
Kybernetes
Zhanglin Peng, Tianci Yin, Xuhui Zhu, Xiaonong Lu, Xiaoyu Li
2024 J jnl
An evaluation model for selection of large-scale product concept design schemes in design crowdsourcing environment.
Adv. Eng. Informatics
Zhanglin Peng, Xinru Hu, Keyu Zhu, Shantao Zhao, Shuqi Zhu, Xiaonong Lu
2024 J jnl
Condition-based maintenance for a balanced system considering dependent soft and hard failures.
Comput. Ind. Eng.
Rui Zheng, Haojun Fang, Zhanglin Peng
2023 J jnl
Community Channel-Net: Efficient channel-wise interactions via community graph topology.
Pattern Recognit.
Fan Feng, Qi Liu, Zhanglin Peng, Ruimao Zhang, Rosa H. M. Chan
2023 A* conf
Foundation Model is Efficient Multimodal Multitask Model Selector.
NeurIPS
Fanqing Meng, Wenqi Shao, Zhanglin Peng, Chonghe Jiang, Kaipeng Zhang, Yu Qiao, Ping Luo
2023 J jnl
Foundation Model is Efficient Multimodal Multitask Model Selector.
CoRR
Fanqing Meng, Wenqi Shao, Zhanglin Peng, Chonghe Jiang, Kaipeng Zhang, Yu Qiao, Ping Luo
2023 J jnl
Multi-Stage Spatio-Temporal Aggregation Transformer for Video Person Re-Identification.
IEEE Trans. Multim.
Ziyi Tang, Ruimao Zhang, Zhanglin Peng, Jinrui Chen, Liang Lin
2023 J jnl
Multi-Stage Spatio-Temporal Aggregation Transformer for Video Person Re-identification.
CoRR
Ziyi Tang, Ruimao Zhang, Zhanglin Peng, Jinrui Chen, Liang Lin
2022 J jnl
Active Domain Adaptation with Multi-level Contrastive Units for Semantic Segmentation.
CoRR
Hao Zhang, Ruimao Zhang, Zhanglin Peng, Junle Wang, Yanqing Jing
2022 J jnl
Product platform configuration for product families: Module clustering based on product architecture and manufacturing process.
Adv. Eng. Informatics
Shuangyao Zhao, Qiang Zhang, Zhanglin Peng, Xiaonong Lu
2021 J jnl
An adaptive agent-based process model for optimizing innovative design.
Optim. Lett.
Qiang Zhang, Zhanglin Peng, Xiaonong Lu, Han Su, Wenxing Lu
2021 J jnl
Event-based optimization approach for solving stochastic decision problems with probabilistic constraint.
Optim. Lett.
Xiaonong Lu, Zhanglin Peng, Qiang Zhang, Shanlin Yang
2021 J jnl
Switchable Normalization for Learning-to-Normalize Deep Representation.
IEEE Trans. Pattern Anal. Mach. Intell.
Ping Luo, Ruimao Zhang, Jiamin Ren, Zhanglin Peng, Jingyu Li
2021 J jnl
User participation behaviour in crowdsourcing initiatives: influencing factors, related theories and incentive strategies.
Int. J. Ad Hoc Ubiquitous Comput.
Xu Zhang, Zhanglin Peng, Qiang Zhang, Xiaonong Lu, Hao Song
2020 J jnl
A review-driven customer preference measurement model for product improvement: sentiment-based importance-performance analysis.
Inf. Syst. E Bus. Manag.
Anning Wang, Qiang Zhang, Shuangyao Zhao, Xiaonong Lu, Zhanglin Peng
2020 — conf
AIM 2020 Challenge on Learned Image Signal Processing Pipeline.
ECCV Workshops (3)
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
2020 J jnl
AIM 2020 Challenge on Learned Image Signal Processing Pipeline.
CoRR
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
2020 J jnl
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.
Xiaoan Tang, Zhanglin Peng, Qiang Zhang, Witold Pedrycz, Shanlin Yang
2020 J jnl
Distribution linguistic preference relations with incomplete symbolic proportions for group decision making.
Appl. Soft Comput.
Xiaoan Tang, Qiang Zhang, Zhanglin Peng, Witold Pedrycz, Shanlin Yang
2020 A* conf
Exemplar Normalization for Learning Deep Representation.
CVPR
Ruimao Zhang, Zhanglin Peng, Lingyun Wu, Zhen Li, Ping Luo
2020 J jnl
Exemplar Normalization for Learning Deep Representation.
CoRR
Ruimao Zhang, Zhanglin Peng, Lingyun Wu, Zhen Li, Ping Luo
2020 J jnl
Integrating customer requirements into customized product configuration design based on Kano's model.
J. Intell. Manuf.
Shuangyao Zhao, Qiang Zhang, Zhanglin Peng, Yu Fan
2020 J jnl
Personalized manufacturing service composition recommendation: combining combinatorial optimization and collaborative filtering.
J. Comb. Optim.
Shuangyao Zhao, Qiang Zhang, Zhanglin Peng, Xiaonong Lu
2019 J jnl
Derivation of personalized numerical scales from distribution linguistic preference relations: an expected consistency-based goal programming approach.
Neural Comput. Appl.
Xiaoan Tang, Qiang Zhang, Zhanglin Peng, Shanlin Yang, Witold Pedrycz
2019 A* conf
Differentiable Dynamic Normalization for Learning Deep Representation.
ICML
Ping Luo, Zhanglin Peng, Wenqi Shao, Ruimao Zhang, Jiamin Ren, Lingyun Wu
2019 A* conf
Differentiable Learning-to-Group Channels via Groupable Convolutional Neural Networks.
ICCV
Zhaoyang Zhang, Jingyu Li, Wenqi Shao, Zhanglin Peng, Ruimao Zhang, Xiaogang Wang, Ping Luo
2019 J jnl
Differentiable Learning-to-Group Channels via Groupable Convolutional Neural Networks.
CoRR
Zhaoyang Zhang, Jingyu Li, Wenqi Shao, Zhanglin Peng, Ruimao Zhang, Xiaogang Wang, Ping Luo
2019 — conf
Differentiable Learning-to-Normalize via Switchable Normalization.
ICLR (Poster)
Ping Luo, Jiamin Ren, Zhanglin Peng, Ruimao Zhang, Jingyu Li
2019 J jnl
Perspective: a review of lifecycle management research on complex products in smart-connected environments.
Int. J. Prod. Res.
Qiang Zhang, Xiaonong Lu, Zhanglin Peng, Minglun Ren
2019 J jnl
Progressively diffused networks for semantic visual parsing.
Pattern Recognit.
Ruimao Zhang, Wei Yang, Zhanglin Peng, Pengxu Wei, Xiaogang Wang, Liang Lin
2019 J jnl
Switchable Normalization for Learning-to-Normalize Deep Representation.
CoRR
Ping Luo, Ruimao Zhang, Jiamin Ren, Zhanglin Peng, Jingyu Li
2019 — conf
Towards Understanding Regularization in Batch Normalization.
ICLR (Poster)
Ping Luo, Xinjiang Wang, Wenqi Shao, Zhanglin Peng
2018 — conf
CUImage: A Neverending Learning Platform on a Convolutional Knowledge Graph of Billion Web Images.
IEEE BigData
Zhanglin Peng, Lingyun Wu, Jiamin Ren, Ruimao Zhang, Ping Luo
2018 J jnl
Differentiable Learning-to-Normalize via Switchable Normalization.
CoRR
Ping Luo, Jiamin Ren, Zhanglin Peng
2018 J jnl
Do Normalization Layers in a Deep ConvNet Really Need to Be Distinct?
CoRR
Ping Luo, Zhanglin Peng, Jiamin Ren, Ruimao Zhang
2018 J jnl
Novel distance and similarity measures for hesitant fuzzy sets and their applications to multiple attribute decision making.
J. Intell. Fuzzy Syst.
Xiaoan Tang, Zhanglin Peng, Haining Ding, Manli Cheng, Shanlin Yang
2018 — conf
Scheduling Large-scale Distributed Training via Reinforcement Learning.
IEEE BigData
Zhanglin Peng, Jiamin Ren, Ruimao Zhang, Lingyun Wu, Xinjiang Wang, Ping Luo
2018 J jnl
Towards Understanding Regularization in Batch Normalization.
CoRR
Ping Luo, Xinjiang Wang, Wenqi Shao, Zhanglin Peng
2017 J jnl
A new method for measuring process flexibility of product design.
Int. Trans. Oper. Res.
Qiang Zhang, Desheng Wu, Chao Fu, Claude Baron, Zhanglin Peng
2017 J jnl
Progressively Diffused Networks for Semantic Image Segmentation.
CoRR
Ruimao Zhang, Wei Yang, Zhanglin Peng, Xiaogang Wang, Liang Lin
2016 J jnl
Deep Boosting: Joint feature selection and analysis dictionary learning in hierarchy.
Neurocomputing
Zhanglin Peng, Ya Li, Zhaoquan Cai, Liang Lin
2016 J jnl
Facial age estimation by using stacked feature composition and selection.
Vis. Comput.
Ya Li, Zhanglin Peng, Depeng Liang, Huiyou Chang, Zhaoquan Cai
2016 A* conf
Geometric Scene Parsing with Hierarchical LSTM.
IJCAI
Zhanglin Peng, Ruimao Zhang, Xiaodan Liang, Xiaobai Liu, Liang Lin
2016 J jnl
Geometric Scene Parsing with Hierarchical LSTM.
CoRR
Zhanglin Peng, Ruimao Zhang, Xiaodan Liang, Xiaobai Liu, Liang Lin
2015 J jnl
Deep Boosting: Joint Feature Selection and Analysis Dictionary Learning in Hierarchy.
CoRR
Zhanglin Peng, Ya Li, Zhaoquan Cai, Liang Lin
2015 J jnl
Deep Boosting: Layered Feature Mining for General Image Classification.
CoRR
Zhanglin Peng, Liang Lin, Ruimao Zhang, Jing Xu
2014 A conf
Deep boosting: Layered feature mining for general image classification.
ICME
Zhanglin Peng, Liang Lin, Ruimao Zhang, Jing Xu