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2020 – today
- 2025
[c25]Peilin Zhou
, Chao Liu, Jing Ren, Xinfeng Zhou, Yueqi Xie, Meng Cao, Zhongtao Rao, You-Liang Huang, Dading Chong, Junling Liu, Jae Boum Kim, Shoujin Wang, Raymond Chi-Wing Wong, Sunghun Kim:
When Large Vision Language Models Meet Multimodal Sequential Recommendation: An Empirical Study. WWW 2025: 275-292- [i35]Weizhi Zhang, Yuanchen Bei, Liangwei Yang, Henry Peng Zou, Peilin Zhou, Aiwei Liu, Yinghui Li, Hao Chen, Jianling Wang, Yu Wang, Feiran Huang, Sheng Zhou, Jiajun Bu, Allen Lin, James Caverlee, Fakhri Karray, Irwin King, Philip S. Yu:
Cold-Start Recommendation towards the Era of Large Language Models (LLMs): A Comprehensive Survey and Roadmap. CoRR abs/2501.01945 (2025) - [i34]Peilin Zhou, Bruce Leon, Xiang Ying, Can Zhang, Yifan Shao, Qichen Ye, Dading Chong, Zhiling Jin, Chenxuan Xie, Meng Cao, Yuxin Gu, Sixin Hong, Jing Ren, Jian Chen, Chao Liu, Yining Hua:
BrowseComp-ZH: Benchmarking Web Browsing Ability of Large Language Models in Chinese. CoRR abs/2504.19314 (2025) - [i33]Siyuan Li, Jian Chen, Rui Yao, Xuming Hu, Peilin Zhou, Weihua Qiu, Simin Zhang, Chucheng Dong, Zhiyao Li, Qipeng Xie, Zixuan Yuan:
Compliance-to-Code: Enhancing Financial Compliance Checking via Code Generation. CoRR abs/2505.19804 (2025) - [i32]Weizhi Zhang, Yangning Li, Yuanchen Bei, Junyu Luo, Guancheng Wan, Liangwei Yang, Chenxuan Xie, Yuyao Yang, Wei-Chieh Huang, Chunyu Miao, Henry Peng Zou, Xiao Luo, Yusheng Zhao, Yankai Chen, Chunkit Chan, Peilin Zhou, Xinyang Zhang, Chenwei Zhang, Jingbo Shang, Ming Zhang, Yangqiu Song, Irwin King, Philip S. Yu:
From Web Search towards Agentic Deep Research: Incentivizing Search with Reasoning Agents. CoRR abs/2506.18959 (2025) - [i31]Jian Chen, Zhenyan Chen, Xuming Hu, Peilin Zhou, Yining Hua, Han Fang, Cissy Hing Yee Choy, Xinmei Ke, Jingfeng Luo, Zixuan Yuan:
DeKeyNLU: Enhancing Natural Language to SQL Generation through Task Decomposition and Keyword Extraction. CoRR abs/2509.14507 (2025) - [i30]Kainan Shi, Peilin Zhou, Ge Wang, Han Ding, Fei Wang:
What Matters in LLM-Based Feature Extractor for Recommender? A Systematic Analysis of Prompts, Models, and Adaptation. CoRR abs/2509.14979 (2025) - 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 - [i29]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) - [i28]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) - [i27]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) - [i26]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) - [i25]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) - [i24]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) - [i23]Peilin Zhou, Bo Du, Yongchao Xu:
CellSeg1: Robust Cell Segmentation with One Training Image. CoRR abs/2412.01410 (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 2025-10-18 21:17 CEST by the dblp team
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