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2020 – today
- 2024
[j5]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): 1569-1577 (2024)- [c24]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: 6025-6047 - [c23]Yuda Zou, Xin Xiao, Peilin Zhou, Zhichao Sun, Bo Du, Yongchao Xu:
Shifted Autoencoders for Point Annotation Restoration in Object Counting. ECCV (25) 2024: 113-130 - [c22]Zhikai Wei, Wenhui Dong, Peilin Zhou, Yuliang Gu, Zhou Zhao, Yongchao Xu:
Prompting Segment Anything Model with Domain-Adaptive Prototype for Generalizable Medical Image Segmentation. MICCAI (8) 2024: 533-543 - [c21]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: 3854-3863 - [i28]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 abs/2401.02984 (2024) - [i27]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 abs/2403.11136 (2024) - [i26]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 abs/2405.09980 (2024) - [i25]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 abs/2406.09838 (2024) - [i24]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 abs/2406.12009 (2024) - [i23]Zhikai Wei, Wenhui Dong, Peilin Zhou, Yuliang Gu, Zhou Zhao, Yongchao Xu:
Prompting Segment Anything Model with Domain-Adaptive Prototype for Generalizable Medical Image Segmentation. CoRR abs/2409.12522 (2024) - 2023
- [c20]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: 3595-3605 - [c19]Dading Chong, Helin Wang, Peilin Zhou, Qingcheng Zeng:
Masked Spectrogram Prediction for Self-Supervised Audio Pre-Training. ICASSP 2023: 1-5 - [c18]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: 6290-6298 - [c17]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 - [c16]Peilin Zhou, Jingqi Gao, Yueqi Xie, Qichen Ye, Yining Hua, Jaeboum Kim, Shoujin Wang, Sunghun Kim:
Equivariant Contrastive Learning for Sequential Recommendation. RecSys 2023: 129-140 - [c15]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: 283-293 - [i22]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 abs/2302.14532 (2023) - [i21]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 abs/2306.03030 (2023) - [i20]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 abs/2306.16001 (2023) - [i19]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 abs/2308.09419 (2023) - [i18]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 abs/2308.12241 (2023) - [i17]Qichen Ye, Junling Liu, Dading Chong, Peilin Zhou, Yining Hua, Andrew Liu:
Qilin-Med: Multi-stage Knowledge Injection Advanced Medical Large Language Model. CoRR abs/2310.09089 (2023) - [i16]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 abs/2310.17956 (2023) - [i15]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 abs/2311.04199 (2023) - [i14]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 abs/2311.05112 (2023) - [i13]Yuda Zou, Xin Xiao, Peilin Zhou, Zhichao Sun, Bo Du, Yongchao Xu:
Noised Autoencoders for Point Annotation Restoration in Object Counting. CoRR abs/2312.07190 (2023) - 2022
- [c14]Lisong Chen, Peilin Zhou, Yuexian Zou:
Joint Multiple Intent Detection and Slot Filling Via Self-Distillation. ICASSP 2022: 7612-7616 - [c13]Peilin Zhou, Dading Chong, Helin Wang, Qingcheng Zeng:
Calibrate and Refine! A Novel and Agile Framework for ASR Error Robust Intent Detection. INTERSPEECH 2022: 1096-1100 - [c12]Qingcheng Zeng, Dading Chong, Peilin Zhou, Jie Yang:
Low-resource Accent Classification in Geographically-proximate Settings: A Forensic and Sociophonetics Perspective. INTERSPEECH 2022: 5308-5312 - [c11]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 - [c10]Yueqi Xie, Peilin Zhou, Sunghun Kim:
Decoupled Side Information Fusion for Sequential Recommendation. SIGIR 2022: 1611-1621 - [i12]Yueqi Xie, Peilin Zhou, Sunghun Kim:
Decoupled Side Information Fusion for Sequential Recommendation. CoRR abs/2204.11046 (2022) - [i11]Dading Chong, Helin Wang, Peilin Zhou, Qingcheng Zeng:
Masked Spectrogram Prediction For Self-Supervised Audio Pre-Training. CoRR abs/2204.12768 (2022) - [i10]Peilin Zhou, Dading Chong, Helin Wang, Qingcheng Zeng:
Calibrate and Refine! A Novel and Agile Framework for ASR-error Robust Intent Detection. CoRR abs/2205.11008 (2022) - [i9]Qingcheng Zeng, Dading Chong, Peilin Zhou, Jie Yang:
Low-resource Accent Classification in Geographically-proximate Settings: A Forensic and Sociophonetics Perspective. CoRR abs/2206.12759 (2022) - [i8]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 abs/2209.13773 (2022) - [i7]Peilin Zhou, Jingqi Gao, Yueqi Xie, Qichen Ye, Yining Hua, Sunghun Kim:
Equivariant Contrastive Learning for Sequential Recommendation. CoRR abs/2211.05290 (2022) - [i6]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 abs/2211.06993 (2022) - 2021
- [c9]Zhiqi Huang, Fenglin Liu, Peilin Zhou, Yuexian Zou:
Sentiment Injected Iteratively Co-Interactive Network for Spoken Language Understanding. ICASSP 2021: 7488-7492 - [c8]Nuo Chen, Fenglin Liu, Chenyu You, Peilin Zhou, Yuexian Zou:
Adaptive Bi-Directional Attention: Exploring Multi-Granularity Representations for Machine Reading Comprehension. ICASSP 2021: 7833-7837 - [c7]Weiyuan Xu, Peilin Zhou, Chenyu You, Yuexian Zou:
Semantic Transportation Prototypical Network for Few-Shot Intent Detection. Interspeech 2021: 251-255 - [i5]Lisong Chen, Peilin Zhou, Yuexian Zou:
Joint Multiple Intent Detection and Slot Filling via Self-distillation. CoRR abs/2108.08042 (2021) - 2020
- [j4]Mayank Kejriwal, Peilin Zhou:
On detecting urgency in short crisis messages using minimal supervision and transfer learning. Soc. Netw. Anal. Min. 10(1): 58 (2020) - [c6]Peilin Zhou, Zhiqi Huang, Fenglin Liu, Yuexian Zou:
PIN: A Novel Parallel Interactive Network for Spoken Language Understanding. ICPR 2020: 2950-2957 - [i4]Peilin Zhou, Zhiqi Huang, Fenglin Liu, Yuexian Zou:
PIN: A Novel Parallel Interactive Network for Spoken Language Understanding. CoRR abs/2009.13431 (2020) - [i3]Nuo Chen, Fenglin Liu, Chenyu You, Peilin Zhou, Yuexian Zou:
Adaptive Bi-directional Attention: Exploring Multi-Granularity Representations for Machine Reading Comprehension. CoRR abs/2012.10877 (2020)
2010 – 2019
- 2019
- [j3]Jingzhou Chen, Siyu Chen, Peilin Zhou, Yuntao Qian:
Deep Neural Network Based Hyperspectral Pixel Classification With Factorized Spectral-Spatial Feature Representation. IEEE Access 7: 81407-81418 (2019) - [j2]Zhenhua Liu, Shuhong Duan, Peilin Zhou, Baocang Wang:
Traceable-then-revocable ciphertext-policy attribute-based encryption scheme. Future Gener. Comput. Syst. 93: 903-913 (2019) - [c5]Mayank Kejriwal, Peilin Zhou:
Low-supervision urgency detection and transfer in short crisis messages. ASONAM 2019: 353-356 - [c4]Mayank Kejriwal, Peilin Zhou:
SAVIZ: interactive exploration and visualization of situation labeling classifiers over crisis social media data. ASONAM 2019: 705-708 - [i2]Jingzhou Chen, Siyu Chen, Peilin Zhou, Yuntao Qian:
Deep Neural Network Based Hyperspectral Pixel Classification With Factorized Spectral-Spatial Feature Representation. CoRR abs/1904.07461 (2019) - [i1]Mayank Kejriwal, Peilin Zhou:
Low-supervision urgency detection and transfer in short crisis messages. CoRR abs/1907.06745 (2019) - 2016
- [c3]Peilin Zhou, Zhenhua Liu, Shuhong Duan:
Flexible Attribute-Based Keyword Search via Two Access Policies. BWCCA 2016: 815-822 - [c2]Shuhong Duan, Zhenhua Liu, Peilin Zhou:
A privacy-preserving personal health record with searchability and revocability using attribute-based encryption. BWCCA 2016: 831-838 - 2015
- [j1]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): 923-931 (2015) - [c1]Fanan Wei, Peilin Zhou, Guangyong Li, Lianqing Liu:
Finite element simulation of stress relaxation process in living cells. NEMS 2015: 67-71
Coauthor Index
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last updated on 2024-11-07 20:29 CET by the dblp team
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