Peilin Zhou

Orcid: 0000-0001-6763-5236

According to our database1, Peilin Zhou authored at least 39 papers between 2015 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
Streamlining social media information retrieval for public health research with deep learning.
J. Am. Medical Informatics Assoc., 2024

FinTruthQA: A Benchmark Dataset for Evaluating the Quality of Financial Information Disclosure.
CoRR, 2024

Vision-Language Models Meet Meteorology: Developing Models for Extreme Weather Events Detection with Heatmaps.
CoRR, 2024

FinTextQA: A Dataset for Long-form Financial Question Answering.
CoRR, 2024

Large Language Models in Mental Health Care: a Scoping Review.
CoRR, 2024

Is Contrastive Learning Necessary? A Study of Data Augmentation vs Contrastive Learning in Sequential Recommendation.
Proceedings of the ACM on Web Conference 2024, 2024

2023
Noised Autoencoders for Point Annotation Restoration in Object Counting.
CoRR, 2023

A Survey of Large Language Models in Medicine: Progress, Application, and Challenge.
CoRR, 2023

Exploring Recommendation Capabilities of GPT-4V(ision): A Preliminary Case Study.
CoRR, 2023

Qilin-Med-VL: Towards Chinese Large Vision-Language Model for General Healthcare.
CoRR, 2023

Qilin-Med: Multi-stage Knowledge Injection Advanced Medical Large Language Model.
CoRR, 2023

LLMRec: Benchmarking Large Language Models on Recommendation Task.
CoRR, 2023

Streamlining Social Media Information Retrieval for Public Health Research with Deep Learning.
CoRR, 2023

Equivariant Contrastive Learning for Sequential Recommendation.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Rethinking Multi-Interest Learning for Candidate Matching in Recommender Systems.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Benchmarking Large Language Models on CMExam - A comprehensive Chinese Medical Exam Dataset.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

GreenPLM: Cross-Lingual Transfer of Monolingual Pre-Trained Language Models at Almost No Cost.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Masked Spectrogram Prediction for Self-Supervised Audio Pre-Training.
Proceedings of the IEEE International Conference on Acoustics, 2023

Attention Calibration for Transformer-based Sequential Recommendation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
GreenPLM: Cross-lingual pre-trained language models conversion with (almost) no cost.
CoRR, 2022

Equivariant Contrastive Learning for Sequential Recommendation.
CoRR, 2022

Decoupled Side Information Fusion for Sequential Recommendation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

METS-CoV: A Dataset of Medical Entity and Targeted Sentiment on COVID-19 Related Tweets.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Calibrate and Refine! A Novel and Agile Framework for ASR Error Robust Intent Detection.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Low-resource Accent Classification in Geographically-proximate Settings: A Forensic and Sociophonetics Perspective.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Joint Multiple Intent Detection and Slot Filling Via Self-Distillation.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Semantic Transportation Prototypical Network for Few-Shot Intent Detection.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Sentiment Injected Iteratively Co-Interactive Network for Spoken Language Understanding.
Proceedings of the IEEE International Conference on Acoustics, 2021

Adaptive Bi-Directional Attention: Exploring Multi-Granularity Representations for Machine Reading Comprehension.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
On detecting urgency in short crisis messages using minimal supervision and transfer learning.
Soc. Netw. Anal. Min., 2020

PIN: A Novel Parallel Interactive Network for Spoken Language Understanding.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
Traceable-then-revocable ciphertext-policy attribute-based encryption scheme.
Future Gener. Comput. Syst., 2019

Deep Neural Network Based Hyperspectral Pixel Classification With Factorized Spectral-Spatial Feature Representation.
IEEE Access, 2019

SAVIZ: interactive exploration and visualization of situation labeling classifiers over crisis social media data.
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

Low-supervision urgency detection and transfer in short crisis messages.
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

2016
Flexible Attribute-Based Keyword Search via Two Access Policies.
Proceedings of the Advances on Broad-Band Wireless Computing, 2016

A privacy-preserving personal health record with searchability and revocability using attribute-based encryption.
Proceedings of the Advances on Broad-Band Wireless Computing, 2016

2015
Cutting tool operational reliability prediction based on acoustic emission and logistic regression model.
J. Intell. Manuf., 2015

Finite element simulation of stress relaxation process in living cells.
Proceedings of the 10th IEEE International Conference on Nano/Micro Engineered and Molecular Systems, 2015


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