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ORCIDPengcheng Wu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j28]Dengfeng Li
, Jian Li, Pengcheng Wu, Guangyao Zhao, Qing'Ao Qu, Xinge Yu:
Recent Advances in Electrically Driven Soft Actuators across Dimensional Scales from 2D to 3D. Adv. Intell. Syst. 6(2) (2024)- [j27]Yuanguo Lin, Wei Zhang, Fan Lin, Wenhua Zeng, Xiuze Zhou, Pengcheng Wu:
Knowledge-aware reasoning with self-supervised reinforcement learning for explainable recommendation in MOOCs. Neural Comput. Appl. 36(8): 4115-4132 (2024) - [j26]Zhongwen Li, He Xie, Zhouqian Wang, Daoyuan Li, Kuan Chen, Xihang Zong, Wei Qiang, Feng Wen, Zhihong Deng, Limin Chen, Huiping Li, He Dong, Pengcheng Wu, Tao Sun, Yan Cheng, Yanning Yang, Jinsong Xue, Qinxiang Zheng, Jiewei Jiang, Wei Chen:
Deep learning for multi-type infectious keratitis diagnosis: A nationwide, cross-sectional, multicenter study. npj Digit. Medicine 7(1) (2024) - [j25]Pengcheng Wu, Jun Chen:
Data-driven zonotopic approximation for n-dimensional probabilistic geofencing. Reliab. Eng. Syst. Saf. 244: 109923 (2024) - [j24]Pengcheng Wu, Jun Chen:
Data-Driven Polytopic Approximation for an $n$-Dimensional Probabilistic Reachable Set. IEEE Trans. Ind. Informatics 20(9): 11192-11201 (2024) - [j23]Shibo Feng, Chunyan Miao, Ke Xu, Jiaxiang Wu, Pengcheng Wu, Yang Zhang, Peilin Zhao:
Multi-Scale Attention Flow for Probabilistic Time Series Forecasting. IEEE Trans. Knowl. Data Eng. 36(5): 2056-2068 (2024) - [j22]Yuanguo Lin, Yong Liu, Fan Lin, Lixin Zou, Pengcheng Wu, Wenhua Zeng, Huanhuan Chen, Chunyan Miao:
A Survey on Reinforcement Learning for Recommender Systems. IEEE Trans. Neural Networks Learn. Syst. 35(10): 13164-13184 (2024) - [j21]Pengcheng Wu, Jun Chen:
Efficient Box Approximation for Data-Driven Probabilistic Geofencing. Unmanned Syst. 12(3): 511-522 (2024) - [c28]Shuaicheng Niu, Chunyan Miao, Guohao Chen, Pengcheng Wu, Peilin Zhao:
Test-Time Model Adaptation with Only Forward Passes. ICML 2024 - [c27]Zihao Zhang, Han Su, Rong Hou, Pengcheng Wu, Ping Xu, Peng Chen:
Age Estimation of Giant Pandas Based on Narrowed Window Ordered Regression. IJCNN 2024: 1-7 - [i14]Yuanguo Lin, Fan Lin, Guorong Cai, Hong Chen, Lixin Zou, Pengcheng Wu:
Evolutionary Reinforcement Learning: A Systematic Review and Future Directions. CoRR abs/2402.13296 (2024) - [i13]Shuaicheng Niu, Chunyan Miao, Guohao Chen, Pengcheng Wu, Peilin Zhao:
Test-Time Model Adaptation with Only Forward Passes. CoRR abs/2404.01650 (2024) - 2023
- [j20]Yan Fang, Wenyan Wang, Pengcheng Wu, Yunfan Zhao:
A sentiment-enhanced hybrid model for crude oil price forecasting. Expert Syst. Appl. 215: 119329 (2023) - [j19]Shijie Zhou, Zelun Li, Zhongliang Lv, Chuande Zhou, Pengcheng Wu, Changshuang Zhu, Wei Liu:
Research on Positioning Accuracy of Mobile Robot in Indoor Environment Based on Improved RTABMAP Algorithm. Sensors 23(23): 9468 (2023) - [c26]Yuanyuan Chen, Zichen Chen, Sheng Guo, Yansong Zhao, Zelei Liu, Pengcheng Wu, Chengyi Yang, Zengxiang Li, Han Yu:
Efficient Training of Large-Scale Industrial Fault Diagnostic Models through Federated Opportunistic Block Dropout. AAAI 2023: 15485-15493 - [c25]Yu Song, Pengcheng Wu, Dongming Dai, Kunli Zhang, Chenghao Zhang, Hengxing Zhang, Xiaomei Liu, Jie Li:
Research on the Structure of Pediatric Epilepsy Electronic Medical Records Based on Transfer Learning. CLSW (2) 2023: 76-90 - [c24]Yuanyuan Chen, Zichen Chen, Pengcheng Wu, Han Yu:
FedOBD: Opportunistic Block Dropout for Efficiently Training Large-scale Neural Networks through Federated Learning. IJCAI 2023: 3541-3549 - [c23]Lei Li, Mengnan He, Pengcheng Wu, Peng Liu, Ke Huang, Fan Pan, Peng Chen, Qijun Zhao:
Video-based Red Panda Individual Identification by Adaptively Aggregating Discriminative Features. IJCNN 2023: 1-7 - [i12]Yuanyuan Chen, Zichen Chen, Sheng Guo, Yansong Zhao, Zelei Liu, Pengcheng Wu, Chengyi Yang, Zengxiang Li, Han Yu:
Efficient Training of Large-scale Industrial Fault Diagnostic Models through Federated Opportunistic Block Dropout. CoRR abs/2302.11485 (2023) - [i11]Pengcheng Wu, Sonia Martínez, Jun Chen:
Convex Approximation for Probabilistic Reachable Set under Data-driven Uncertainties. CoRR abs/2303.01549 (2023) - [i10]Yuanguo Lin, Hong Chen, Wei Xia, Fan Lin, Pengcheng Wu, Zongyue Wang, Yong Li:
A Comprehensive Survey on Deep Learning Techniques in Educational Data Mining. CoRR abs/2309.04761 (2023) - 2022
- [j18]Yuanguo Lin, Fan Lin, Lvqing Yang, Wenhua Zeng, Yong Liu, Pengcheng Wu:
Context-aware reinforcement learning for course recommendation. Appl. Soft Comput. 125: 109189 (2022) - [j17]Wei Zhang, Yuanguo Lin, Yong Liu, Huanyu You, Pengcheng Wu, Fan Lin, Xiuze Zhou:
Self-Supervised Reinforcement Learning with dual-reward for knowledge-aware recommendation. Appl. Soft Comput. 131: 109745 (2022) - [j16]Yarui Duan, Liguo Jiao, Pengcheng Wu, Yuying Zhou:
Existence of Pareto Solutions for Vector Polynomial Optimization Problems with Constraints. J. Optim. Theory Appl. 195(1): 148-171 (2022) - [j15]Hao Cai, Xinfang Tong, Pengcheng Wu, Xinning Liu, Bo Liu:
Bit-error-rate aware sensing-error correction interaction in spintronic MRAM. J. Syst. Archit. 128: 102557 (2022) - [j14]Yuanguo Lin, Fan Lin, Wenhua Zeng, Jianbing Xiahou, Li Li, Pengcheng Wu, Yong Liu, Chunyan Miao:
Hierarchical reinforcement learning with dynamic recurrent mechanism for course recommendation. Knowl. Based Syst. 244: 108546 (2022) - [j13]Li Li, Fan Lin, Jianbing Xiahou, Yuanguo Lin, Pengcheng Wu, Yong Liu:
Federated low-rank tensor projections for sequential recommendation. Knowl. Based Syst. 255: 109483 (2022) - [j12]Chengxiang Zhan, Qingyan Meng, Ying Zhang, Mona Allam, Pengcheng Wu, Linlin Zhang, Xian Lu:
Application of 3D Error Diagram in Thermal Infrared Earthquake Prediction: Qinghai-Tibet Plateau. Remote. Sens. 14(23): 5925 (2022) - [j11]Pengcheng Wu, Yan He, Yufeng Li, Yulin Wang, Shilong Wang:
Online Prediction of Cutting Temperature Using Self-Adaptive Local Learning and Dynamic CNN. IEEE Trans. Ind. Informatics 18(12): 8629-8640 (2022) - [j10]Pengcheng Wu, Xuxi Yang, Peng Wei, Jun Chen:
Safety Assured Online Guidance With Airborne Separation for Urban Air Mobility Operations in Uncertain Environments. IEEE Trans. Intell. Transp. Syst. 23(10): 19413-19427 (2022) - [c22]Rui Xu, Yufeng Wang, Xinchen Ye, Pengcheng Wu, Yen-Wei Chen, Fangyi Xu, Wenchao Zhu, Chao Chen, Yong Zhou, Hongjie Hu, Xiaofeng Qu, Shoji Kido, Noriyuki Tomiyama:
Pixel-Level and Affinity-Level Knowledge Distillation for Unsupervised Segmentation of Covid-19 Lesions. ICASSP 2022: 1376-1380 - [c21]Jiawei Fu, Pengcheng Wu, Hao Cai:
A High Reliability Sensing Amplifier for Hybrid MTJ/CMOS Circuits. ICTA 2022: 1-2 - [c20]Rui Xu, Jiaxin Zhao, Xinchen Ye, Pengcheng Wu, Zhihui Wang, Haojie Li, Yen-Wei Chen:
Local-Region and Cross-Dataset Contrastive Learning for Retinal Vessel Segmentation. MICCAI (2) 2022: 571-581 - [i9]Shibo Feng, Ke Xu, Jiaxiang Wu, Pengcheng Wu, Fan Lin, Peilin Zhao:
Multi-scale Attention Flow for Probabilistic Time Series Forecasting. CoRR abs/2205.07493 (2022) - [i8]Yuanyuan Chen, Zichen Chen, Pengcheng Wu, Han Yu:
FedOBD: Opportunistic Block Dropout for Efficiently Training Large-scale Neural Networks through Federated Learning. CoRR abs/2208.05174 (2022) - 2021
- [j9]Yuanguo Lin, Shibo Feng, Fan Lin, Wenhua Zeng, Yong Liu, Pengcheng Wu:
Adaptive course recommendation in MOOCs. Knowl. Based Syst. 224: 107085 (2021) - [c19]Yuanyuan Chen, Boyang Li, Han Yu, Pengcheng Wu, Chunyan Miao:
HyDRA: Hypergradient Data Relevance Analysis for Interpreting Deep Neural Networks. AAAI 2021: 7081-7089 - [c18]Pengcheng Wu, Zhenguo Yang, Guanglin Li, Yanlong Tai:
3-Dimensional Logic Motion Sensing of Polyvinylidene Fluoride for Self-Powered Flexible Interactive Electronics. RCAR 2021: 1408-1413 - [i7]Yuanyuan Chen, Boyang Li, Han Yu, Pengcheng Wu, Chunyan Miao:
HYDRA: Hypergradient Data Relevance Analysis for Interpreting Deep Neural Networks. CoRR abs/2102.02515 (2021) - [i6]Pengcheng Wu, Junfei Xie, Yanchao Liu, Jun Chen:
Risk-bounded Path Planning for Urban Air Mobility Operations under Uncertainty. CoRR abs/2109.04606 (2021) - [i5]Yuanguo Lin, Yong Liu, Fan Lin, Pengcheng Wu, Wenhua Zeng, Chunyan Miao:
A Survey on Reinforcement Learning for Recommender Systems. CoRR abs/2109.10665 (2021) - 2020
- [j8]Lu Liu, Fan Lin, Beizhan Wang, Kangkang Li, Meng Xiao, Jianbing Xiahou, Pengcheng Wu:
Prerequisite Relation Learning for Course Concepts Based on Hyperbolic Deep Representation. IEEE Access 8: 49079-49089 (2020) - [j7]Chengfu Wang, Pengcheng Wu, Yuying Zhou:
An Optimal Control Problem Governed by a Kirchhoff-Type Variational Inequality. J. Appl. Math. 2020: 2831242:1-2831242:8 (2020) - [j6]Peilin Zhao, Dayong Wang, Pengcheng Wu, Steven C. H. Hoi:
A Unified Framework for Sparse Online Learning. ACM Trans. Knowl. Discov. Data 14(5): 59:1-59:20 (2020) - [c17]Pengcheng Wu, Junfei Xie, Jun Chen:
Safe Path Planning for Unmanned Aerial Vehicle under Location Uncertainty. ICCA 2020: 342-347
2010 – 2019
- 2019
- [j5]Zhenggang Cao, Mengmeng Liu, Pengcheng Wu:
Experiment Investigation and Numerical Simulation of Snowdrift on a Typical Large-Span Retractable Roof. Complex. 2019: 5984804:1-5984804:14 (2019) - 2018
- [j4]Bifang He, Lixu Jiang, Yaocong Duan, Guoshi Chai, Yewei Fang, Juanjuan Kang, Min Yu, Ning Li, Zhongjie Tang, Pengcheng Yao, Pengcheng Wu, Ratmir Derda, Jian Huang:
Biopanning data bank 2018: hugging next generation phage display. Database J. Biol. Databases Curation 2018: bay032 (2018) - [j3]Xudong Sun, Pengcheng Wu, Steven C. H. Hoi:
Face detection using deep learning: An improved faster RCNN approach. Neurocomputing 299: 42-50 (2018) - 2017
- [j2]Ji Wan, Sheng Tang, Yongdong Zhang, Jintao Li, Pengcheng Wu, Steven C. H. Hoi:
HDIdx: High-dimensional indexing for efficient approximate nearest neighbor search. Neurocomputing 237: 401-404 (2017) - [i4]Xudong Sun, Pengcheng Wu, Steven C. H. Hoi:
Face Detection using Deep Learning: An Improved Faster RCNN Approach. CoRR abs/1701.08289 (2017) - 2016
- [j1]Pengcheng Wu, Steven C. H. Hoi, Peilin Zhao, Chunyan Miao, Zhiyong Liu:
Online Multi-Modal Distance Metric Learning with Application to Image Retrieval. IEEE Trans. Knowl. Data Eng. 28(2): 454-467 (2016) - 2015
- [c16]Ji Wan, Pengcheng Wu, Steven C. H. Hoi, Peilin Zhao, Xingyu Gao, Dayong Wang, Yongdong Zhang, Jintao Li:
Online Learning to Rank for Content-Based Image Retrieval. IJCAI 2015: 2284-2290 - [i3]Dayong Wang, Pengcheng Wu, Peilin Zhao, Steven C. H. Hoi:
A Framework of Sparse Online Learning and Its Applications. CoRR abs/1507.07146 (2015) - [i2]Ji Wan, Sheng Tang, Yongdong Zhang, Jintao Li, Pengcheng Wu, Steven C. H. Hoi:
HDIdx: High-Dimensional Indexing for Efficient Approximate Nearest Neighbor Search. CoRR abs/1510.01991 (2015) - 2014
- [b1]Pengcheng Wu:
Distance metric learning for multi-modal image retrieval and annotation. Nanyang Technological University, Singapore, 2014 - [c15]Pengcheng Wu, Yi Ding, Peilin Zhao, Chunyan Miao, Steven C. H. Hoi:
Learning Relative Similarity by Stochastic Dual Coordinate Ascent. AAAI 2014: 2142-2148 - [c14]Dayong Wang, Pengcheng Wu, Peilin Zhao, Yue Wu, Chunyan Miao, Steven C. H. Hoi:
High-Dimensional Data Stream Classification via Sparse Online Learning. ICDM 2014: 1007-1012 - [c13]Ji Wan, Dayong Wang, Steven Chu-Hong Hoi, Pengcheng Wu, Jianke Zhu, Yongdong Zhang, Jintao Li:
Deep Learning for Content-Based Image Retrieval: A Comprehensive Study. ACM Multimedia 2014: 157-166 - 2013
- [c12]Pengcheng Wu, Steven C. H. Hoi, Hao Xia, Peilin Zhao, Dayong Wang, Chunyan Miao:
Online multimodal deep similarity learning with application to image retrieval. ACM Multimedia 2013: 153-162 - [c11]Dayong Wang, Steven C. H. Hoi, Pengcheng Wu, Jianke Zhu, Ying He, Chunyan Miao:
Learning to name faces: a multimodal learning scheme for search-based face annotation. SIGIR 2013: 443-452 - [c10]Hao Xia, Pengcheng Wu, Steven C. H. Hoi:
Online multi-modal distance learning for scalable multimedia retrieval. WSDM 2013: 455-464 - 2012
- [c9]Steven C. H. Hoi, Jialei Wang, Peilin Zhao, Rong Jin, Pengcheng Wu:
Fast Bounded Online Gradient Descent Algorithms for Scalable Kernel-Based Online Learning. ICML 2012 - [c8]Hao Xia, Pengcheng Wu, Steven C. H. Hoi, Rong Jin:
Boosting multi-kernel locality-sensitive hashing for scalable image retrieval. SIGIR 2012: 55-64 - [i1]Peilin Zhao, Jialei Wang, Pengcheng Wu, Rong Jin, Steven C. H. Hoi:
Fast Bounded Online Gradient Descent Algorithms for Scalable Kernel-Based Online Learning. CoRR abs/1206.4633 (2012) - 2011
- [c7]Steven C. H. Hoi, Pengcheng Wu:
SIRE: a social image retrieval engine. ACM Multimedia 2011: 817-818 - [c6]Pengcheng Wu, Steven C. H. Hoi, Duc Dung Nguyen, Ying He:
Randomly Projected KD-Trees with Distance Metric Learning for Image Retrieval. MMM (2) 2011: 371-382 - [c5]Pengcheng Wu, Steven C. H. Hoi, Peilin Zhao, Ying He:
Mining social images with distance metric learning for automated image tagging. WSDM 2011: 197-206
2000 – 2009
- 2007
- [c4]Shuhong Zhang, Jianxun Sun, Pengcheng Wu:
Research on the Fuzzy Quantitative Association Rules Mining Algorithm and Its Simulation. FSKD (2) 2007: 401-405 - 2005
- [c3]Pengcheng Wu, Karl J. Lieberherr:
Shadow Programming: Reasoning About Programs Using Lexical Join Point Information. GPCE 2005: 141-156 - 2004
- [c2]Pengcheng Wu, Thomas G. Dietterich:
Improving SVM accuracy by training on auxiliary data sources. ICML 2004 - 2003
- [c1]Karl J. Lieberherr, David H. Lorenz, Pengcheng Wu:
A case for statically executable advice: checking the law of demeter with AspectJ. AOSD 2003: 40-49
Coauthor Index
aka: Steven Chu-Hong Hoi
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last updated on 2024-12-12 20:56 CET by the dblp team
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