Peilin Zhou

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 52

Top Topics

Pixel Classification

Information Disclosure

Top Venues

Publications

Jian Chen, Peilin Zhou, Yining Hua, Dading Chong, Meng Cao, Yaowei Li, Zixuan Yuan, Bing Zhu, Junwei Liang
Vision-Language Models Meet Meteorology: Developing Models for Extreme Weather Events Detection with Heatmaps. CoRR (2024)
Peilin Zhou, You-Liang Huang, Yueqi Xie, Jingqi Gao, Shoujin Wang, Jae Boum Kim, Sunghun Kim
Is Contrastive Learning Necessary? A Study of Data Augmentation vs Contrastive Learning in Sequential Recommendation. WWW (2024)
Yining Hua, Jiageng Wu, Shixu Lin, Minghui Li, Yujie Zhang, Dinah Foer, Siwen Wang, Peilin Zhou, Jie Yang, Li Zhou
Streamlining social media information retrieval for public health research with deep learning. J. Am. Medical Informatics Assoc. 31 (7) (2024)
Yining Hua, Fenglin Liu, Kailai Yang, Zehan Li, Yi-han Sheu, Peilin Zhou, Lauren V. Moran, Sophia Ananiadou, Andrew Beam
Large Language Models in Mental Health Care: a Scoping Review. CoRR (2024)
Jian Chen, Peilin Zhou, Yining Hua, Loh Xin, Kehui Chen, Ziyuan Li, Bing Zhu, Junwei Liang
FinTextQA: A Dataset for Long-form Financial Question Answering. ACL (1) (2024)
Ziyue Xu, Peilin Zhou, Xinyu Shi, Jiageng Wu, Yikang Jiang, Bin Ke, Jie Yang
FinTruthQA: A Benchmark Dataset for Evaluating the Quality of Financial Information Disclosure. CoRR (2024)
Jian Chen, Peilin Zhou, Yining Hua, Yingxin Loh, Kehui Chen, Ziyuan Li, Bing Zhu, Junwei Liang
FinTextQA: A Dataset for Long-form Financial Question Answering. CoRR (2024)
Peilin Zhou, You-Liang Huang, Yueqi Xie, Jingqi Gao, Shoujin Wang, Jae Boum Kim, Sunghun Kim
Is Contrastive Learning Necessary? A Study of Data Augmentation vs Contrastive Learning in Sequential Recommendation. CoRR (2024)
Yining Hua, Shixu Lin, Minghui Li, Yujie Zhang, Peilin Zhou, Ying-Chih Lo, Li Zhou, Jie Yang
Streamlining Social Media Information Retrieval for Public Health Research with Deep Learning. CoRR (2023)
Junling Liu, Ziming Wang, Qichen Ye, Dading Chong, Peilin Zhou, Yining Hua
Qilin-Med-VL: Towards Chinese Large Vision-Language Model for General Healthcare. CoRR (2023)
Peilin Zhou, Jingqi Gao, Yueqi Xie, Qichen Ye, Yining Hua, Jaeboum Kim, Shoujin Wang, Sunghun Kim
Equivariant Contrastive Learning for Sequential Recommendation. RecSys (2023)
Yuda Zou, Xin Xiao, Peilin Zhou, Zhichao Sun, Bo Du, Yongchao Xu
Noised Autoencoders for Point Annotation Restoration in Object Counting. CoRR (2023)
Junling Liu, Peilin Zhou, Yining Hua, Dading Chong, Zhongyu Tian, Andrew Liu, Helin Wang, Chenyu You, Zhenhua Guo, Lei Zhu, Michael Lingzhi Li
Benchmarking Large Language Models on CMExam - A comprehensive Chinese Medical Exam Dataset. NeurIPS (2023)
Peilin Zhou, Meng Cao, You-Liang Huang, Qichen Ye, Peiyan Zhang, Junling Liu, Yueqi Xie, Yining Hua, Jaeboum Kim
Exploring Recommendation Capabilities of GPT-4V(ision): A Preliminary Case Study. CoRR (2023)
Junling Liu, Peilin Zhou, Yining Hua, Dading Chong, Zhongyu Tian, Andrew Liu, Helin Wang, Chenyu You, Zhenhua Guo, Lei Zhu, Michael Lingzhi Li
Benchmarking Large Language Models on CMExam - A Comprehensive Chinese Medical Exam Dataset. CoRR (2023)
Junling Liu, Chao Liu, Peilin Zhou, Qichen Ye, Dading Chong, Kang Zhou, Yueqi Xie, Yuwei Cao, Shoujin Wang, Chenyu You, Philip S. Yu
LLMRec: Benchmarking Large Language Models on Recommendation Task. CoRR (2023)
Qichen Ye, Junling Liu, Dading Chong, Peilin Zhou, Yining Hua, Andrew Liu
Qilin-Med: Multi-stage Knowledge Injection Advanced Medical Large Language Model. CoRR (2023)
Qingcheng Zeng, Lucas Garay, Peilin Zhou, Dading Chong, Yining Hua, Jiageng Wu, Yikang Pan, Han Zhou, Rob Voigt, Jie Yang
GreenPLM: Cross-Lingual Transfer of Monolingual Pre-Trained Language Models at Almost No Cost. IJCAI (2023)
Peilin Zhou, Qichen Ye, Yueqi Xie, Jingqi Gao, Shoujin Wang, Jae Boum Kim, Chenyu You, Sunghun Kim
Attention Calibration for Transformer-based Sequential Recommendation. CIKM (2023)
Yueqi Xie, Jingqi Gao, Peilin Zhou, Qichen Ye, Yining Hua, Jaeboum Kim, Fangzhao Wu, Sunghun Kim
Rethinking Multi-Interest Learning for Candidate Matching in Recommender Systems. CoRR (2023)
Dading Chong, Helin Wang, Peilin Zhou, Qingcheng Zeng
Masked Spectrogram Prediction for Self-Supervised Audio Pre-Training. ICASSP (2023)
Peilin Zhou, Qichen Ye, Yueqi Xie, Jingqi Gao, Shoujin Wang, Jae Boum Kim, Chenyu You, Sunghun Kim
Attention Calibration for Transformer-based Sequential Recommendation. CoRR (2023)
Yueqi Xie, Jingqi Gao, Peilin Zhou, Qichen Ye, Yining Hua, Jae Boum Kim, Fangzhao Wu, Sunghun Kim
Rethinking Multi-Interest Learning for Candidate Matching in Recommender Systems. RecSys (2023)
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
A Survey of Large Language Models in Medicine: Progress, Application, and Challenge. CoRR (2023)
Peilin Zhou, Dading Chong, Helin Wang, Qingcheng Zeng
Calibrate and Refine! A Novel and Agile Framework for ASR Error Robust Intent Detection. INTERSPEECH (2022)
Dading Chong, Helin Wang, Peilin Zhou, Qingcheng Zeng
Masked Spectrogram Prediction For Self-Supervised Audio Pre-Training. CoRR (2022)
Peilin Zhou, Dading Chong, Helin Wang, Qingcheng Zeng
Calibrate and Refine! A Novel and Agile Framework for ASR-error Robust Intent Detection. CoRR (2022)
Qingcheng Zeng, Lucas Garay, Peilin Zhou, Dading Chong, Yining Hua, Jiageng Wu, Yikang Pan, Han Zhou, Jie Yang
GreenPLM: Cross-lingual pre-trained language models conversion with (almost) no cost. CoRR (2022)
Yueqi Xie, Peilin Zhou, Sunghun Kim
Decoupled Side Information Fusion for Sequential Recommendation. CoRR (2022)
Lisong Chen, Peilin Zhou, Yuexian Zou
Joint Multiple Intent Detection and Slot Filling Via Self-Distillation. ICASSP (2022)
Qingcheng Zeng, Dading Chong, Peilin Zhou, Jie Yang
Low-resource Accent Classification in Geographically-proximate Settings: A Forensic and Sociophonetics Perspective. CoRR (2022)
Peilin Zhou, Zeqiang Wang, Dading Chong, Zhijiang Guo, Yining Hua, Zichang Su, Zhiyang Teng, Jiageng Wu, Jie Yang
METS-CoV: A Dataset of Medical Entity and Targeted Sentiment on COVID-19 Related Tweets. NeurIPS (2022)
Yueqi Xie, Peilin Zhou, Sunghun Kim
Decoupled Side Information Fusion for Sequential Recommendation. SIGIR (2022)
Peilin Zhou, Zeqiang Wang, Dading Chong, Zhijiang Guo, Yining Hua, Zichang Su, Zhiyang Teng, Jiageng Wu, Jie Yang
METS-CoV: A Dataset of Medical Entity and Targeted Sentiment on COVID-19 Related Tweets. CoRR (2022)
Peilin Zhou, Jingqi Gao, Yueqi Xie, Qichen Ye, Yining Hua, Sunghun Kim
Equivariant Contrastive Learning for Sequential Recommendation. CoRR (2022)
Qingcheng Zeng, Dading Chong, Peilin Zhou, Jie Yang
Low-resource Accent Classification in Geographically-proximate Settings: A Forensic and Sociophonetics Perspective. INTERSPEECH (2022)
Nuo Chen, Fenglin Liu, Chenyu You, Peilin Zhou, Yuexian Zou
Adaptive Bi-Directional Attention: Exploring Multi-Granularity Representations for Machine Reading Comprehension. ICASSP (2021)
Weiyuan Xu, Peilin Zhou, Chenyu You, Yuexian Zou
Semantic Transportation Prototypical Network for Few-Shot Intent Detection. Interspeech (2021)
Zhiqi Huang, Fenglin Liu, Peilin Zhou, Yuexian Zou
Sentiment Injected Iteratively Co-Interactive Network for Spoken Language Understanding. ICASSP (2021)
Lisong Chen, Peilin Zhou, Yuexian Zou
Joint Multiple Intent Detection and Slot Filling via Self-distillation. CoRR (2021)
Mayank Kejriwal, Peilin Zhou
On detecting urgency in short crisis messages using minimal supervision and transfer learning. Soc. Netw. Anal. Min. 10 (1) (2020)
Nuo Chen, Fenglin Liu, Chenyu You, Peilin Zhou, Yuexian Zou
Adaptive Bi-directional Attention: Exploring Multi-Granularity Representations for Machine Reading Comprehension. CoRR (2020)
Peilin Zhou, Zhiqi Huang, Fenglin Liu, Yuexian Zou
PIN: A Novel Parallel Interactive Network for Spoken Language Understanding. CoRR (2020)
Peilin Zhou, Zhiqi Huang, Fenglin Liu, Yuexian Zou
PIN: A Novel Parallel Interactive Network for Spoken Language Understanding. ICPR (2020)
Mayank Kejriwal, Peilin Zhou
Low-supervision urgency detection and transfer in short crisis messages. CoRR (2019)
Jingzhou Chen, Siyu Chen, Peilin Zhou, Yuntao Qian
Deep Neural Network Based Hyperspectral Pixel Classification With Factorized Spectral-Spatial Feature Representation. IEEE Access 7 (2019)
Mayank Kejriwal, Peilin Zhou
Low-supervision urgency detection and transfer in short crisis messages. ASONAM (2019)
Mayank Kejriwal, Peilin Zhou
SAVIZ: interactive exploration and visualization of situation labeling classifiers over crisis social media data. ASONAM (2019)
Jingzhou Chen, Siyu Chen, Peilin Zhou, Yuntao Qian
Deep Neural Network Based Hyperspectral Pixel Classification With Factorized Spectral-Spatial Feature Representation. CoRR (2019)
Zhenhua Liu, Shuhong Duan, Peilin Zhou, Baocang Wang
Traceable-then-revocable ciphertext-policy attribute-based encryption scheme. Future Gener. Comput. Syst. 93 (2019)
Shuhong Duan, Zhenhua Liu, Peilin Zhou
A privacy-preserving personal health record with searchability and revocability using attribute-based encryption. BWCCA (2016)
Peilin Zhou, Zhenhua Liu, Shuhong Duan
Flexible Attribute-Based Keyword Search via Two Access Policies. BWCCA (2016)
Hongkun Li, Yinhu Wang, Pengshi Zhao, Xiaowen Zhang, Peilin Zhou
Cutting tool operational reliability prediction based on acoustic emission and logistic regression model. J. Intell. Manuf. 26 (5) (2015)
Fanan Wei, Peilin Zhou, Guangyong Li, Lianqing Liu
Finite element simulation of stress relaxation process in living cells. NEMS (2015)