Peng-Fei Zhang

Orcid: 0000-0002-6790-2098

According to our database1, Peng-Fei Zhang authored at least 31 papers between 2018 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Abstract and Explore: A Novel Behavioral Metric with Cyclic Dynamics in Reinforcement Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Proactive Privacy-preserving Learning for Cross-modal Retrieval.
ACM Trans. Inf. Syst., April, 2023

Long short-term enhanced memory for sequential recommendation.
World Wide Web (WWW), March, 2023

Balanced BPF With Dual-Port Quasi-Reflectionless Characteristic and Selectivity Enhancement.
IEEE Trans. Circuits Syst. II Express Briefs, March, 2023

Video Captioning by Learning from Global Sentence and Looking Ahead.
ACM Trans. Multim. Comput. Commun. Appl., 2023

Multi-head Siamese Prototype Learning against both Data and Label Corruption.
Proceedings of the ACM Multimedia Asia 2023, 2023

Self-Distillation Dual-Memory Online Hashing with Hash Centers for Streaming Data Retrieval.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Zero-Shot Learning by Harnessing Adversarial Samples.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

FedVMR: A New Federated Learning Method for Video Moment Retrieval.
Proceedings of the IEEE International Conference on Acoustics, 2023

Balanced and Explainable Social Media Analysis for Public Health with Large Language Models.
Proceedings of the Databases Theory and Applications, 2023

Abstract then Play: A Skill-centric Reinforcement Learning Framework for Text-based Games.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Aggregation-Based Graph Convolutional Hashing for Unsupervised Cross-Modal Retrieval.
IEEE Trans. Multim., 2022

Self-supervised Graph-based Point-of-interest Recommendation.
CoRR, 2022

Robust Learning with Adversarial Perturbations and Label Noise: A Two-Pronged Defense Approach.
Proceedings of the 4th ACM International Conference on Multimedia in Asia, 2022

IDEAL: High-Order-Ensemble Adaptation Network for Learning with Noisy Labels.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Machine Unlearning for Image Retrieval: A Generative Scrubbing Approach.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Discovering Domain Disentanglement for Generalized Multi-Source Domain Adaptation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

2021
High-order nonlocal Hashing for unsupervised cross-modal retrieval.
World Wide Web, 2021

Privacy Protection in Deep Multi-modal Retrieval.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

BRUSH: Label Reconstructing and Similarity Preserving Hashing for Cross-modal Retrieval.
Proceedings of the MMAsia '21: ACM Multimedia Asia, Gold Coast, Australia, December 1, 2021

Joint-teaching: Learning to Refine Knowledge for Resource-constrained Unsupervised Cross-modal Retrieval.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Lightweight Self-Attentive Sequential Recommendation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Proactive Privacy-preserving Learning for Retrieval.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
A look at field manipulation and antenna design using 3D transformation electromagnetics and 2D surface electromagnetics.
Frontiers Inf. Technol. Electron. Eng., 2020

Semantics-Reconstructing Hashing for Cross-Modal Retrieval.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Completely Unsupervised Cross-Modal Hashing.
Proceedings of the Database Systems for Advanced Applications, 2020

2019
Discrete Hashing With Multiple Supervision.
IEEE Trans. Image Process., 2019

Study on estimating quantum discord by neural network with prior knowledge.
Quantum Inf. Process., 2019

2018
Atherosclerotic Plaque Pathological Analysis by Unsupervised K-Means Clustering.
IEEE Access, 2018

SCRATCH: A Scalable Discrete Matrix Factorization Hashing for Cross-Modal Retrieval.
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Asymmetric Discrete Cross-Modal Hashing.
Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval, 2018


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