Pengcheng Wu

Orcid: 0000-0001-9388-819X

According to our database1, Pengcheng Wu authored at least 59 papers between 2003 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Multi-Scale Attention Flow for Probabilistic Time Series Forecasting.
IEEE Trans. Knowl. Data Eng., May, 2024

Recent Advances in Electrically Driven Soft Actuators across Dimensional Scales from 2D to 3D.
Adv. Intell. Syst., February, 2024

Data-driven zonotopic approximation for n-dimensional probabilistic geofencing.
Reliab. Eng. Syst. Saf., 2024

Knowledge-aware reasoning with self-supervised reinforcement learning for explainable recommendation in MOOCs.
Neural Comput. Appl., 2024

Test-Time Model Adaptation with Only Forward Passes.
CoRR, 2024

Evolutionary Reinforcement Learning: A Systematic Review and Future Directions.
CoRR, 2024

2023
Research on Positioning Accuracy of Mobile Robot in Indoor Environment Based on Improved RTABMAP Algorithm.
Sensors, December, 2023

A sentiment-enhanced hybrid model for crude oil price forecasting.
Expert Syst. Appl., April, 2023

A Comprehensive Survey on Deep Learning Techniques in Educational Data Mining.
CoRR, 2023

Convex Approximation for Probabilistic Reachable Set under Data-driven Uncertainties.
CoRR, 2023

Video-based Red Panda Individual Identification by Adaptively Aggregating Discriminative Features.
Proceedings of the International Joint Conference on Neural Networks, 2023

FedOBD: Opportunistic Block Dropout for Efficiently Training Large-scale Neural Networks through Federated Learning.
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.
Proceedings of the Chinese Lexical Semantics - 24th Workshop, 2023

Efficient Training of Large-Scale Industrial Fault Diagnostic Models through Federated Opportunistic Block Dropout.
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.
Remote. Sens., December, 2022

Safety Assured Online Guidance With Airborne Separation for Urban Air Mobility Operations in Uncertain Environments.
IEEE Trans. Intell. Transp. Syst., 2022

Online Prediction of Cutting Temperature Using Self-Adaptive Local Learning and Dynamic CNN.
IEEE Trans. Ind. Informatics, 2022

Hierarchical reinforcement learning with dynamic recurrent mechanism for course recommendation.
Knowl. Based Syst., 2022

Federated low-rank tensor projections for sequential recommendation.
Knowl. Based Syst., 2022

Bit-error-rate aware sensing-error correction interaction in spintronic MRAM.
J. Syst. Archit., 2022

Existence of Pareto Solutions for Vector Polynomial Optimization Problems with Constraints.
J. Optim. Theory Appl., 2022

Multi-scale Attention Flow for Probabilistic Time Series Forecasting.
CoRR, 2022

Self-Supervised Reinforcement Learning with dual-reward for knowledge-aware recommendation.
Appl. Soft Comput., 2022

Context-aware reinforcement learning for course recommendation.
Appl. Soft Comput., 2022

Local-Region and Cross-Dataset Contrastive Learning for Retinal Vessel Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

A High Reliability Sensing Amplifier for Hybrid MTJ/CMOS Circuits.
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.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Adaptive course recommendation in MOOCs.
Knowl. Based Syst., 2021

A Survey on Reinforcement Learning for Recommender Systems.
CoRR, 2021

Risk-bounded Path Planning for Urban Air Mobility Operations under Uncertainty.
CoRR, 2021

3-Dimensional Logic Motion Sensing of Polyvinylidene Fluoride for Self-Powered Flexible Interactive Electronics.
Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2021

HyDRA: Hypergradient Data Relevance Analysis for Interpreting Deep Neural Networks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
A Unified Framework for Sparse Online Learning.
ACM Trans. Knowl. Discov. Data, 2020

An Optimal Control Problem Governed by a Kirchhoff-Type Variational Inequality.
J. Appl. Math., 2020

Prerequisite Relation Learning for Course Concepts Based on Hyperbolic Deep Representation.
IEEE Access, 2020

Safe Path Planning for Unmanned Aerial Vehicle under Location Uncertainty.
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.
Complex., 2019

2018
Face detection using deep learning: An improved faster RCNN approach.
Neurocomputing, 2018

Biopanning data bank 2018: hugging next generation phage display.
Database J. Biol. Databases Curation, 2018

2017
HDIdx: High-dimensional indexing for efficient approximate nearest neighbor search.
Neurocomputing, 2017

2016
Online Multi-Modal Distance Metric Learning with Application to Image Retrieval.
IEEE Trans. Knowl. Data Eng., 2016

2015
A Framework of Sparse Online Learning and Its Applications.
CoRR, 2015

Online Learning to Rank for Content-Based Image Retrieval.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

2014
Distance metric learning for multi-modal image retrieval and annotation
PhD thesis, 2014

Deep Learning for Content-Based Image Retrieval: A Comprehensive Study.
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.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Learning Relative Similarity by Stochastic Dual Coordinate Ascent.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Online multi-modal distance learning for scalable multimedia retrieval.
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.
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.
Proceedings of the ACM Multimedia Conference, 2013

2012
Boosting multi-kernel locality-sensitive hashing for scalable image retrieval.
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.
Proceedings of the 29th International Conference on Machine Learning, 2012

2011
Mining social images with distance metric learning for automated image tagging.
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.
Proceedings of the Advances in Multimedia Modeling, 2011

SIRE: a social image retrieval engine.
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.
Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007

2005
Shadow Programming: Reasoning About Programs Using Lexical Join Point Information.
Proceedings of the Generative Programming and Component Engineering, 2005

2004
Improving SVM accuracy by training on auxiliary data sources.
Proceedings of the Machine Learning, 2004

2003
A case for statically executable advice: checking the law of demeter with AspectJ.
Proceedings of the 2nd International Conference on Aspect-Oriented Software Development, 2003


  Loading...