Peilin Zhou

According to our database, Peilin Zhou authored at least 35 papers between 2015 and 2024.

Collaborative distances:

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

2024

Is Contrastive Learning Necessary? A Study of Data Augmentation vs Contrastive Learning in Sequential Recommendation.

Peilin Zhou, You-Liang Huang, Yueqi Xie, Jingqi Gao, Shoujin Wang, Jae Boum Kim, Sunghun Kim

CoRR, 2024

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

Yining Hua, Fenglin Liu, Kailai Yang, Zehan Li, Yi-han Sheu, Peilin Zhou, Lauren V. Moran, Sophia Ananiadou, Andrew Beam

CoRR, 2024

2023

Noised Autoencoders for Point Annotation Restoration in Object Counting.

Yuda Zou, Xin Xiao, Peilin Zhou, Zhichao Sun, Bo Du, Yongchao Xu

CoRR, 2023

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

Hongjian Zhou, Boyang Gu, Xinyu Zou, Yiru Li, Sam S. Chen, Peilin Zhou, Junling Liu, Yining Hua, Chengfeng Mao, Xian Wu, Zheng Li, Fenglin Liu

CoRR, 2023

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

Peilin Zhou, Meng Cao, You-Liang Huang, Qichen Ye, Peiyan Zhang, Junling Liu, Yueqi Xie, Yining Hua, Jaeboum Kim

CoRR, 2023

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

Junling Liu, Ziming Wang, Qichen Ye, Dading Chong, Peilin Zhou, Yining Hua

CoRR, 2023

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

Qichen Ye, Junling Liu, Dading Chong, Peilin Zhou, Yining Hua, Andrew Liu

CoRR, 2023

LLMRec: Benchmarking Large Language Models on Recommendation Task.

Junling Liu, Chao Liu, Peilin Zhou, Qichen Ye, Dading Chong, Kang Zhou, Yueqi Xie, Yuwei Cao, Shoujin Wang, Chenyu You, Philip S. Yu

CoRR, 2023

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

Yining Hua, Shixu Lin, Minghui Li, Yujie Zhang, Peilin Zhou, Ying-Chih Lo, Li Zhou, Jie Yang

CoRR, 2023

Equivariant Contrastive Learning for Sequential Recommendation.

Peilin Zhou, Jingqi Gao, Yueqi Xie, Qichen Ye, Yining Hua, Jaeboum Kim, Shoujin Wang, Sunghun Kim

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Rethinking Multi-Interest Learning for Candidate Matching in Recommender Systems.

Yueqi Xie, Jingqi Gao, Peilin Zhou, Qichen Ye, Yining Hua, Jae Boum Kim, Fangzhao Wu, Sunghun Kim

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Benchmarking Large Language Models on CMExam - A comprehensive Chinese Medical Exam Dataset.

Junling Liu, Peilin Zhou, Yining Hua, Dading Chong, Zhongyu Tian, Andrew Liu, Helin Wang, Chenyu You, Zhenhua Guo, Lei Zhu, Michael Lingzhi Li

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.

Qingcheng Zeng, Lucas Garay, Peilin Zhou, Dading Chong, Yining Hua, Jiageng Wu, Yikang Pan, Han Zhou, Rob Voigt, Jie Yang

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

Masked Spectrogram Prediction for Self-Supervised Audio Pre-Training.

Dading Chong, Helin Wang, Peilin Zhou, Qingcheng Zeng

Proceedings of the IEEE International Conference on Acoustics, 2023

Attention Calibration for Transformer-based Sequential Recommendation.

Peilin Zhou, Qichen Ye, Yueqi Xie, Jingqi Gao, Shoujin Wang, Jae Boum Kim, Chenyu You, Sunghun Kim

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.

Qingcheng Zeng, Lucas Garay, Peilin Zhou, Dading Chong, Yining Hua, Jiageng Wu, Yikang Pan, Han Zhou, Jie Yang

CoRR, 2022

Equivariant Contrastive Learning for Sequential Recommendation.

Peilin Zhou, Jingqi Gao, Yueqi Xie, Qichen Ye, Yining Hua, Sunghun Kim

CoRR, 2022

Decoupled Side Information Fusion for Sequential Recommendation.

Yueqi Xie, Peilin Zhou, Sunghun Kim

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.

Peilin Zhou, Zeqiang Wang, Dading Chong, Zhijiang Guo, Yining Hua, Zichang Su, Zhiyang Teng, Jiageng Wu, Jie Yang

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.

Peilin Zhou, Dading Chong, Helin Wang, Qingcheng Zeng

Proceedings of the Interspeech 2022, 2022

Low-resource Accent Classification in Geographically-proximate Settings: A Forensic and Sociophonetics Perspective.

Qingcheng Zeng, Dading Chong, Peilin Zhou, Jie Yang

Proceedings of the Interspeech 2022, 2022

Joint Multiple Intent Detection and Slot Filling Via Self-Distillation.

Lisong Chen, Peilin Zhou, Yuexian Zou

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Semantic Transportation Prototypical Network for Few-Shot Intent Detection.

Weiyuan Xu, Peilin Zhou, Chenyu You, Yuexian Zou

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Sentiment Injected Iteratively Co-Interactive Network for Spoken Language Understanding.

Zhiqi Huang, Fenglin Liu, Peilin Zhou, Yuexian Zou

Proceedings of the IEEE International Conference on Acoustics, 2021

Adaptive Bi-Directional Attention: Exploring Multi-Granularity Representations for Machine Reading Comprehension.

Nuo Chen, Fenglin Liu, Chenyu You, Peilin Zhou, Yuexian Zou

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

On detecting urgency in short crisis messages using minimal supervision and transfer learning.

Mayank Kejriwal, Peilin Zhou

Soc. Netw. Anal. Min., 2020

PIN: A Novel Parallel Interactive Network for Spoken Language Understanding.

Peilin Zhou, Zhiqi Huang, Fenglin Liu, Yuexian Zou

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Traceable-then-revocable ciphertext-policy attribute-based encryption scheme.

Zhenhua Liu, Shuhong Duan, Peilin Zhou, Baocang Wang

Future Gener. Comput. Syst., 2019

Deep Neural Network Based Hyperspectral Pixel Classification With Factorized Spectral-Spatial Feature Representation.

Jingzhou Chen, Siyu Chen, Peilin Zhou, Yuntao Qian

IEEE Access, 2019

SAVIZ: interactive exploration and visualization of situation labeling classifiers over crisis social media data.

Mayank Kejriwal, Peilin Zhou

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.

Mayank Kejriwal, Peilin Zhou

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.

Peilin Zhou, Zhenhua Liu, Shuhong Duan

Proceedings of the Advances on Broad-Band Wireless Computing, 2016

A privacy-preserving personal health record with searchability and revocability using attribute-based encryption.

Shuhong Duan, Zhenhua Liu, Peilin Zhou

Proceedings of the Advances on Broad-Band Wireless Computing, 2016

2015

Cutting tool operational reliability prediction based on acoustic emission and logistic regression model.

Hongkun Li, Yinhu Wang, Pengshi Zhao, Xiaowen Zhang, Peilin Zhou

J. Intell. Manuf., 2015

Finite element simulation of stress relaxation process in living cells.

Fanan Wei, Peilin Zhou, Guangyong Li, Lianqing Liu

Proceedings of the 10th IEEE International Conference on Nano/Micro Engineered and Molecular Systems, 2015