Pengcheng Wu

According to our database, Pengcheng Wu authored at least 58 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Multi-Scale Attention Flow for Probabilistic Time Series Forecasting.

Shibo Feng, Chunyan Miao, Ke Xu, Jiaxiang Wu, Pengcheng Wu, Yang Zhang, Peilin Zhao

IEEE Trans. Knowl. Data Eng., May, 2024

Recent Advances in Electrically Driven Soft Actuators across Dimensional Scales from 2D to 3D.

Dengfeng Li, Jian Li, Pengcheng Wu, Guangyao Zhao, Qing'Ao Qu, Xinge Yu

Adv. Intell. Syst., February, 2024

Knowledge-aware reasoning with self-supervised reinforcement learning for explainable recommendation in MOOCs.

Yuanguo Lin, Wei Zhang, Fan Lin, Wenhua Zeng, Xiuze Zhou, Pengcheng Wu

Neural Comput. Appl., 2024

Test-Time Model Adaptation with Only Forward Passes.

Shuaicheng Niu, Chunyan Miao, Guohao Chen, Pengcheng Wu, Peilin Zhao

CoRR, 2024

Evolutionary Reinforcement Learning: A Systematic Review and Future Directions.

Yuanguo Lin, Fan Lin, Guorong Cai, Hong Chen, Lixin Zou, Pengcheng Wu

CoRR, 2024

2023

Research on Positioning Accuracy of Mobile Robot in Indoor Environment Based on Improved RTABMAP Algorithm.

Shijie Zhou, Zelun Li, Zhongliang Lv, Chuande Zhou, Pengcheng Wu, Changshuang Zhu, Wei Liu

Sensors, December, 2023

A sentiment-enhanced hybrid model for crude oil price forecasting.

Yan Fang, Wenyan Wang, Pengcheng Wu, Yunfan Zhao

Expert Syst. Appl., April, 2023

A Comprehensive Survey on Deep Learning Techniques in Educational Data Mining.

Yuanguo Lin, Hong Chen, Wei Xia, Fan Lin, Pengcheng Wu, Zongyue Wang, Yong Li

CoRR, 2023

Convex Approximation for Probabilistic Reachable Set under Data-driven Uncertainties.

Pengcheng Wu, Sonia Martínez, Jun Chen

CoRR, 2023

Video-based Red Panda Individual Identification by Adaptively Aggregating Discriminative Features.

Lei Li, Mengnan He, Pengcheng Wu, Peng Liu, Ke Huang, Fan Pan, Peng Chen, Qijun Zhao

Proceedings of the International Joint Conference on Neural Networks, 2023

FedOBD: Opportunistic Block Dropout for Efficiently Training Large-scale Neural Networks through Federated Learning.

Yuanyuan Chen, Zichen Chen, Pengcheng Wu, Han Yu

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Research on the Structure of Pediatric Epilepsy Electronic Medical Records Based on Transfer Learning.

Yu Song, Pengcheng Wu, Dongming Dai, Kunli Zhang, Chenghao Zhang, Hengxing Zhang, Xiaomei Liu, Jie Li

Proceedings of the Chinese Lexical Semantics - 24th Workshop, 2023

Efficient Training of Large-Scale Industrial Fault Diagnostic Models through Federated Opportunistic Block Dropout.

Yuanyuan Chen, Zichen Chen, Sheng Guo, Yansong Zhao, Zelei Liu, Pengcheng Wu, Chengyi Yang, Zengxiang Li, Han Yu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Application of 3D Error Diagram in Thermal Infrared Earthquake Prediction: Qinghai-Tibet Plateau.

Chengxiang Zhan, Qingyan Meng, Ying Zhang, Mona Allam, Pengcheng Wu, Linlin Zhang, Xian Lu

Remote. Sens., December, 2022

Safety Assured Online Guidance With Airborne Separation for Urban Air Mobility Operations in Uncertain Environments.

Pengcheng Wu, Xuxi Yang, Peng Wei, Jun Chen

IEEE Trans. Intell. Transp. Syst., 2022

Online Prediction of Cutting Temperature Using Self-Adaptive Local Learning and Dynamic CNN.

Pengcheng Wu, Yan He, Yufeng Li, Yulin Wang, Shilong Wang

IEEE Trans. Ind. Informatics, 2022

Hierarchical reinforcement learning with dynamic recurrent mechanism for course recommendation.

Yuanguo Lin, Fan Lin, Wenhua Zeng, Jianbing Xiahou, Li Li, Pengcheng Wu, Yong Liu, Chunyan Miao

Knowl. Based Syst., 2022

Federated low-rank tensor projections for sequential recommendation.

Li Li, Fan Lin, Jianbing Xiahou, Yuanguo Lin, Pengcheng Wu, Yong Liu

Knowl. Based Syst., 2022

Bit-error-rate aware sensing-error correction interaction in spintronic MRAM.

Hao Cai, Xinfang Tong, Pengcheng Wu, Xinning Liu, Bo Liu

J. Syst. Archit., 2022

Existence of Pareto Solutions for Vector Polynomial Optimization Problems with Constraints.

Yarui Duan, Liguo Jiao, Pengcheng Wu, Yuying Zhou

J. Optim. Theory Appl., 2022

Multi-scale Attention Flow for Probabilistic Time Series Forecasting.

Shibo Feng, Ke Xu, Jiaxiang Wu, Pengcheng Wu, Fan Lin, Peilin Zhao

CoRR, 2022

Self-Supervised Reinforcement Learning with dual-reward for knowledge-aware recommendation.

Wei Zhang, Yuanguo Lin, Yong Liu, Huanyu You, Pengcheng Wu, Fan Lin, Xiuze Zhou

Appl. Soft Comput., 2022

Context-aware reinforcement learning for course recommendation.

Yuanguo Lin, Fan Lin, Lvqing Yang, Wenhua Zeng, Yong Liu, Pengcheng Wu

Appl. Soft Comput., 2022

Local-Region and Cross-Dataset Contrastive Learning for Retinal Vessel Segmentation.

Rui Xu, Jiaxin Zhao, Xinchen Ye, Pengcheng Wu, Zhihui Wang, Haojie Li, Yen-Wei Chen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

A High Reliability Sensing Amplifier for Hybrid MTJ/CMOS Circuits.

Jiawei Fu, Pengcheng Wu, Hao Cai

Proceedings of the 2022 IEEE International Conference on Integrated Circuits, 2022

Pixel-Level and Affinity-Level Knowledge Distillation for Unsupervised Segmentation of Covid-19 Lesions.

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

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Adaptive course recommendation in MOOCs.

Yuanguo Lin, Shibo Feng, Fan Lin, Wenhua Zeng, Yong Liu, Pengcheng Wu

Knowl. Based Syst., 2021

A Survey on Reinforcement Learning for Recommender Systems.

Yuanguo Lin, Yong Liu, Fan Lin, Pengcheng Wu, Wenhua Zeng, Chunyan Miao

CoRR, 2021

Risk-bounded Path Planning for Urban Air Mobility Operations under Uncertainty.

Pengcheng Wu, Junfei Xie, Yanchao Liu, Jun Chen

CoRR, 2021

3-Dimensional Logic Motion Sensing of Polyvinylidene Fluoride for Self-Powered Flexible Interactive Electronics.

Pengcheng Wu, Zhenguo Yang, Guanglin Li, Yanlong Tai

Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2021

HyDRA: Hypergradient Data Relevance Analysis for Interpreting Deep Neural Networks.

Yuanyuan Chen, Boyang Li, Han Yu, Pengcheng Wu, Chunyan Miao

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

A Unified Framework for Sparse Online Learning.

Peilin Zhao, Dayong Wang, Pengcheng Wu, Steven C. H. Hoi

ACM Trans. Knowl. Discov. Data, 2020

An Optimal Control Problem Governed by a Kirchhoff-Type Variational Inequality.

Chengfu Wang, Pengcheng Wu, Yuying Zhou

J. Appl. Math., 2020

Prerequisite Relation Learning for Course Concepts Based on Hyperbolic Deep Representation.

Lu Liu, Fan Lin, Beizhan Wang, Kangkang Li, Meng Xiao, Jianbing Xiahou, Pengcheng Wu

IEEE Access, 2020

Safe Path Planning for Unmanned Aerial Vehicle under Location Uncertainty.

Pengcheng Wu, Junfei Xie, Jun Chen

Proceedings of the 16th IEEE International Conference on Control & Automation, 2020

2019

Experiment Investigation and Numerical Simulation of Snowdrift on a Typical Large-Span Retractable Roof.

Zhenggang Cao, Mengmeng Liu, Pengcheng Wu

Complex., 2019

2018

Face detection using deep learning: An improved faster RCNN approach.

Xudong Sun, Pengcheng Wu, Steven C. H. Hoi

Neurocomputing, 2018

Biopanning data bank 2018: hugging next generation phage display.

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

Database J. Biol. Databases Curation, 2018

2017

HDIdx: High-dimensional indexing for efficient approximate nearest neighbor search.

Ji Wan, Sheng Tang, Yongdong Zhang, Jintao Li, Pengcheng Wu, Steven C. H. Hoi

Neurocomputing, 2017

2016

Online Multi-Modal Distance Metric Learning with Application to Image Retrieval.

Pengcheng Wu, Steven C. H. Hoi, Peilin Zhao, Chunyan Miao, Zhiyong Liu

IEEE Trans. Knowl. Data Eng., 2016

2015

A Framework of Sparse Online Learning and Its Applications.

Dayong Wang, Pengcheng Wu, Peilin Zhao, Steven C. H. Hoi

CoRR, 2015

Online Learning to Rank for Content-Based Image Retrieval.

Ji Wan, Pengcheng Wu, Steven C. H. Hoi, Peilin Zhao, Xingyu Gao, Dayong Wang, Yongdong Zhang, Jintao Li

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

2014

Distance metric learning for multi-modal image retrieval and annotation

Pengcheng Wu

PhD thesis, 2014

Deep Learning for Content-Based Image Retrieval: A Comprehensive Study.

Ji Wan, Dayong Wang, Steven Chu-Hong Hoi, Pengcheng Wu, Jianke Zhu, Yongdong Zhang, Jintao Li

Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

High-Dimensional Data Stream Classification via Sparse Online Learning.

Dayong Wang, Pengcheng Wu, Peilin Zhao, Yue Wu, Chunyan Miao, Steven C. H. Hoi

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Learning Relative Similarity by Stochastic Dual Coordinate Ascent.

Pengcheng Wu, Yi Ding, Peilin Zhao, Chunyan Miao, Steven C. H. Hoi

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Online multi-modal distance learning for scalable multimedia retrieval.

Hao Xia, Pengcheng Wu, Steven C. H. Hoi

Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

Learning to name faces: a multimodal learning scheme for search-based face annotation.

Dayong Wang, Steven C. H. Hoi, Pengcheng Wu, Jianke Zhu, Ying He, Chunyan Miao

Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval, 2013

Online multimodal deep similarity learning with application to image retrieval.

Pengcheng Wu, Steven C. H. Hoi, Hao Xia, Peilin Zhao, Dayong Wang, Chunyan Miao

Proceedings of the ACM Multimedia Conference, 2013

2012

Boosting multi-kernel locality-sensitive hashing for scalable image retrieval.

Hao Xia, Pengcheng Wu, Steven C. H. Hoi, Rong Jin

Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012

Fast Bounded Online Gradient Descent Algorithms for Scalable Kernel-Based Online Learning.

Steven C. H. Hoi, Jialei Wang, Peilin Zhao, Rong Jin, Pengcheng Wu

Proceedings of the 29th International Conference on Machine Learning, 2012

2011

Mining social images with distance metric learning for automated image tagging.

Pengcheng Wu, Steven C. H. Hoi, Peilin Zhao, Ying He

Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011

Randomly Projected KD-Trees with Distance Metric Learning for Image Retrieval.

Pengcheng Wu, Steven C. H. Hoi, Duc Dung Nguyen, Ying He

Proceedings of the Advances in Multimedia Modeling, 2011

SIRE: a social image retrieval engine.

Steven C. H. Hoi, Pengcheng Wu

Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011

2007

Research on the Fuzzy Quantitative Association Rules Mining Algorithm and Its Simulation.

Shuhong Zhang, Jianxun Sun, Pengcheng Wu

Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007

2005

Shadow Programming: Reasoning About Programs Using Lexical Join Point Information.

Pengcheng Wu, Karl J. Lieberherr

Proceedings of the Generative Programming and Component Engineering, 2005

2004

Improving SVM accuracy by training on auxiliary data sources.

Pengcheng Wu, Thomas G. Dietterich

Proceedings of the Machine Learning, 2004

2003

A case for statically executable advice: checking the law of demeter with AspectJ.

Karl J. Lieberherr, David H. Lorenz, Pengcheng Wu

Proceedings of the 2nd International Conference on Aspect-Oriented Software Development, 2003