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2020 – today
- 2022
[j11]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)- [j10]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) - [c20]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 - [i8]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) - 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
- [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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