Pengcheng Wu

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2025

UniMRE: a unified framework for zero-shot medicial relation extraction with large language models.

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[DOI]

Health Inf. Sci. Syst., December, 2025

C4D-YOLOv8: improved YOLOv8 for object detection on drone-captured images.

[BibT_eX]

[DOI]

Signal Image Video Process., October, 2025

Laplacian Analysis Meets Dynamics Modelling: Gaussian Splatting for 4D Reconstruction.

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[DOI]

CoRR, August, 2025

WaMo: Wavelet-Enhanced Multi-Frequency Trajectory Analysis for Fine-Grained Text-Motion Retrieval.

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[DOI]

CoRR, August, 2025

Efficient Parallel Training Methods for Spiking Neural Networks with Constant Time Complexity.

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[DOI]

CoRR, June, 2025

NTPP: Generative Speech Language Modeling for Dual-Channel Spoken Dialogue via Next-Token-Pair Prediction.

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[DOI]

CoRR, June, 2025

A Survey on Privacy Risks and Protection in Large Language Models.

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[DOI]

CoRR, May, 2025

Self-Bootstrapping for Versatile Test-Time Adaptation.

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[DOI]

CoRR, April, 2025

Continual Optimization with Symmetry Teleportation for Multi-Task Learning.

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[DOI]

CoRR, March, 2025

Audio-Reasoner: Improving Reasoning Capability in Large Audio Language Models.

[BibT_eX]

[DOI]

CoRR, March, 2025

Fine-Tuned Convex Approximations of Probabilistic Reachable Sets Under Data-Driven Uncertainties.

[BibT_eX]

[DOI]

Pengcheng Wu

Sonia Martínez

Jun Chen

IEEE Trans Autom. Sci. Eng., 2025

Clip4Vis: Parameter-free fusion for multimodal video recognition.

[BibT_eX]

[DOI]

Neurocomputing, 2025

Physics-aware parameter diffusion for spatio-temporal continuum field modeling for governance.

[BibT_eX]

[DOI]

Neurocomputing, 2025

Exploring New Paradigms in Time Series Prediction by Integrating Computer Simulations and Machine Learning.

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[DOI]

IEEE Access, 2025

Vehicle-Level Safety Validation of AD/ADAS Systems via Extreme Value Analysis.

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[DOI]

Proceedings of the Computer Safety, Reliability, and Security. SAFECOMP 2025 Workshops, 2025

CaDRL: Document-level Relation Extraction via Context-aware Differentiable Rule Learning.

[BibT_eX]

[DOI]

Proceedings of the 31st International Conference on Computational Linguistics, 2025

CmEAA: Cross-modal Enhancement and Alignment Adapter for Radiology Report Generation.

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[DOI]

Proceedings of the 31st International Conference on Computational Linguistics, 2025

HDT: Hierarchical Discrete Transformer for Multivariate Time Series Forecasting.

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[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Timeliness Analysis for Real-Time Updates Across Different Service Time.

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[DOI]

IEEE Trans. Aerosp. Electron. Syst., December, 2024

A Survey on Reinforcement Learning for Recommender Systems.

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[DOI]

IEEE Trans. Neural Networks Learn. Syst., October, 2024

Data-Driven Polytopic Approximation for an $n$-Dimensional Probabilistic Reachable Set.

[BibT_eX]

[DOI]

Pengcheng Wu

Jun Chen

IEEE Trans. Ind. Informatics, September, 2024

Efficient Box Approximation for Data-Driven Probabilistic Geofencing.

[BibT_eX]

[DOI]

Pengcheng Wu

Jun Chen

Unmanned Syst., May, 2024

Multi-Scale Attention Flow for Probabilistic Time Series Forecasting.

[BibT_eX]

[DOI]

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

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

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[DOI]

Adv. Intell. Syst., February, 2024

Data-driven zonotopic approximation for n-dimensional probabilistic geofencing.

[BibT_eX]

[DOI]

Pengcheng Wu

Jun Chen

Reliab. Eng. Syst. Saf., 2024

Deep learning for multi-type infectious keratitis diagnosis: A nationwide, cross-sectional, multicenter study.

[BibT_eX]

[DOI]

npj Digit. Medicine, 2024

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

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[DOI]

Neural Comput. Appl., 2024

Evolutionary Reinforcement Learning: A Systematic Review and Future Directions.

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[DOI]

CoRR, 2024

Cross-Angle Facial Individual Verification of Giant Panda.

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[DOI]

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024

Age Estimation of Giant Pandas Based on Narrowed Window Ordered Regression.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2024

Test-Time Model Adaptation with Only Forward Passes.

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[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

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

[BibT_eX]

[DOI]

Sensors, December, 2023

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

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[DOI]

Expert Syst. Appl., April, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

Pengcheng Wu

Sonia Martínez

Jun Chen

CoRR, 2023

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

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2023

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

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[DOI]

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.

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[DOI]

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

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

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[DOI]

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.

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[DOI]

Remote. Sens., December, 2022

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

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[DOI]

IEEE Trans. Intell. Transp. Syst., 2022

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

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[DOI]

IEEE Trans. Ind. Informatics, 2022

Hierarchical reinforcement learning with dynamic recurrent mechanism for course recommendation.

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[DOI]

Knowl. Based Syst., 2022

Federated low-rank tensor projections for sequential recommendation.

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[DOI]

Knowl. Based Syst., 2022

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

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[DOI]

J. Syst. Archit., 2022

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

[BibT_eX]

[DOI]

J. Optim. Theory Appl., 2022

Multi-scale Attention Flow for Probabilistic Time Series Forecasting.

[BibT_eX]

[DOI]

CoRR, 2022

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

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[DOI]

Appl. Soft Comput., 2022

Context-aware reinforcement learning for course recommendation.

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[DOI]

Appl. Soft Comput., 2022

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

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[DOI]

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

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Adaptive course recommendation in MOOCs.

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[DOI]

Knowl. Based Syst., 2021

A Survey on Reinforcement Learning for Recommender Systems.

[BibT_eX]

[DOI]

CoRR, 2021

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

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[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

2020

A Unified Framework for Sparse Online Learning.

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[DOI]

ACM Trans. Knowl. Discov. Data, 2020

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

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[DOI]

Chengfu Wang

Pengcheng Wu

Yuying Zhou

J. Appl. Math., 2020

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

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[DOI]

IEEE Access, 2020

Safe Path Planning for Unmanned Aerial Vehicle under Location Uncertainty.

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[DOI]

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.

[BibT_eX]

[DOI]

Zhenggang Cao

Mengmeng Liu

Pengcheng Wu

Complex., 2019

2018

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

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[DOI]

Xudong Sun

Pengcheng Wu

Steven C. H. Hoi

Neurocomputing, 2018

Biopanning data bank 2018: hugging next generation phage display.

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[DOI]

Database J. Biol. Databases Curation, 2018

2017

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

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[DOI]

Neurocomputing, 2017

2016

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

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[DOI]

IEEE Trans. Knowl. Data Eng., 2016

2015

A Framework of Sparse Online Learning and Its Applications.

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[DOI]

CoRR, 2015

Online Learning to Rank for Content-Based Image Retrieval.

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[DOI]

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

2014

Distance metric learning for multi-modal image retrieval and annotation

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[DOI]

Pengcheng Wu

PhD thesis, 2014

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

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[DOI]

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.

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[DOI]

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

Learning Relative Similarity by Stochastic Dual Coordinate Ascent.

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[DOI]

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

2013

Online multi-modal distance learning for scalable multimedia retrieval.

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[DOI]

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.

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[DOI]

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.

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Proceedings of the ACM Multimedia Conference, 2013

2012

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

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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.

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[DOI]

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

2011

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

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[DOI]

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.

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[DOI]

Proceedings of the Advances in Multimedia Modeling, 2011

SIRE: a social image retrieval engine.

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[DOI]

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.

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[DOI]

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.

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[DOI]

Pengcheng Wu

Karl J. Lieberherr

Proceedings of the Generative Programming and Component Engineering, 2005

2004

Improving SVM accuracy by training on auxiliary data sources.

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[DOI]

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.

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[DOI]

Karl J. Lieberherr

David H. Lorenz

Pengcheng Wu

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

Pengcheng Wu

Bibliography

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