Finite element simulation of stress relaxation process in living cells. - Fanan Wei; Peilin Zhou; Guangyong Li; Lianqing Liu (NEMS, 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)

A privacy-preserving personal health record with searchability and revocability using attribute-based encryption. - Shuhong Duan; Zhenhua Liu 001; Peilin Zhou (BWCCA, 2016)

Flexible Attribute-Based Keyword Search via Two Access Policies. - Peilin Zhou; Zhenhua Liu 001; Shuhong Duan (BWCCA, 2016)

Low-supervision urgency detection and transfer in short crisis messages. - Mayank Kejriwal; Peilin Zhou (ASONAM, 2019)

SAVIZ: interactive exploration and visualization of situation labeling classifiers over crisis social media data. - Mayank Kejriwal; Peilin Zhou (ASONAM, 2019)

Deep Neural Network Based Hyperspectral Pixel Classification With Factorized Spectral-Spatial Feature Representation. - Jingzhou Chen; Siyu Chen 002; Peilin Zhou; Yuntao Qian (IEEE Access, 2019)

Traceable-then-revocable ciphertext-policy attribute-based encryption scheme. - Zhenhua Liu 001; Shuhong Duan; Peilin Zhou; Baocang Wang (Future Gener. Comput. Syst., 2019)

PIN: A Novel Parallel Interactive Network for Spoken Language Understanding. - Peilin Zhou; Zhiqi Huang 001; Fenglin Liu; Yuexian Zou (ICPR, 2020)

On detecting urgency in short crisis messages using minimal supervision and transfer learning. - Mayank Kejriwal; Peilin Zhou (Soc. Netw. Anal. Min., 2020)

Adaptive Bi-Directional Attention: Exploring Multi-Granularity Representations for Machine Reading Comprehension. - Nuo Chen 001; Fenglin Liu; Chenyu You; Peilin Zhou; Yuexian Zou (ICASSP, 2021)

Sentiment Injected Iteratively Co-Interactive Network for Spoken Language Understanding. - Zhiqi Huang 001; Fenglin Liu; Peilin Zhou; Yuexian Zou (ICASSP, 2021)

Semantic Transportation Prototypical Network for Few-Shot Intent Detection. - Weiyuan Xu; Peilin Zhou; Chenyu You; Yuexian Zou (Interspeech, 2021)

Joint Multiple Intent Detection and Slot Filling Via Self-Distillation. - Lisong Chen; Peilin Zhou; Yuexian Zou (ICASSP, 2022)

Low-resource Accent Classification in Geographically-proximate Settings: A Forensic and Sociophonetics Perspective. - Qingcheng Zeng; Dading Chong; Peilin Zhou; Jie Yang 039 (INTERSPEECH, 2022)

Calibrate and Refine! A Novel and Agile Framework for ASR Error Robust Intent Detection. - Peilin Zhou; Dading Chong; Helin Wang; Qingcheng Zeng (INTERSPEECH, 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 039 (NeurIPS, 2022)

Decoupled Side Information Fusion for Sequential Recommendation. - Yueqi Xie; Peilin Zhou; Sunghun Kim 001 (SIGIR, 2022)

Equivariant Contrastive Learning for Sequential Recommendation. - Peilin Zhou; Jingqi Gao; Yueqi Xie; Qichen Ye; Yining Hua; Sunghun Kim 001 (CoRR, 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 010; Jie Yang 039 (CoRR, 2022)

Attention Calibration for Transformer-based Sequential Recommendation. - Peilin Zhou; Qichen Ye; Yueqi Xie; Jingqi Gao; Shoujin Wang; Jae Boum Kim; Chenyu You; Sunghun Kim 001 (CIKM, 2023)

Masked Spectrogram Prediction for Self-Supervised Audio Pre-Training. - Dading Chong; Helin Wang; Peilin Zhou; Qingcheng Zeng (ICASSP, 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 010; Rob Voigt; Jie Yang 039 (IJCAI, 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 (NeurIPS, 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 001 (RecSys, 2023)

Equivariant Contrastive Learning for Sequential Recommendation. - Peilin Zhou; Jingqi Gao; Yueqi Xie; Qichen Ye; Yining Hua; Jaeboum Kim; Shoujin Wang; Sunghun Kim 001 (RecSys, 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 007; Jie Yang 039 (CoRR, 2023)

LLMRec: Benchmarking Large Language Models on Recommendation Task. - Junling Liu; Chao Liu 001; Peilin Zhou; Qichen Ye; Dading Chong; Kang Zhou; Yueqi Xie; Yuwei Cao; Shoujin Wang; Chenyu You; Philip S. Yu (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)

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)

Exploring Recommendation Capabilities of GPT-4V(ision): A Preliminary Case Study. - Peilin Zhou; Meng Cao 002; You-Liang Huang; Qichen Ye; Peiyan Zhang; Junling Liu; Yueqi Xie; Yining Hua; Jaeboum Kim (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 001; Zheng Li 018; Fenglin Liu (CoRR, 2023)

Noised Autoencoders for Point Annotation Restoration in Object Counting. - Yuda Zou; Xin Xiao 010; Peilin Zhou; Zhichao Sun; Bo Du 001; Yongchao Xu (CoRR, 2023)

FinTextQA: A Dataset for Long-form Financial Question Answering. - Jian Chen 047; Peilin Zhou; Yining Hua; Loh Xin; Kehui Chen; Ziyuan Li; Bing Zhu; Junwei Liang 001 (ACL (1), 2024)

Shifted Autoencoders for Point Annotation Restoration in Object Counting. - Yuda Zou; Xin Xiao 010; Peilin Zhou; Zhichao Sun; Bo Du 001; Yongchao Xu (ECCV (25), 2024)

Prompting Segment Anything Model with Domain-Adaptive Prototype for Generalizable Medical Image Segmentation. - Zhikai Wei; Wenhui Dong; Peilin Zhou; Yuliang Gu; Zhou Zhao; Yongchao Xu (MICCAI (8), 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 001 (WWW, 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)

FinTextQA: A Dataset for Long-form Financial Question Answering. - Jian Chen 047; Peilin Zhou; Yining Hua; Yingxin Loh; Kehui Chen; Ziyuan Li; Bing Zhu; Junwei Liang 001 (CoRR, 2024)

Vision-Language Models Meet Meteorology: Developing Models for Extreme Weather Events Detection with Heatmaps. - Jian Chen 047; Peilin Zhou; Yining Hua; Dading Chong; Meng Cao 002; Yaowei Li; Zixuan Yuan; Bing Zhu; Junwei Liang 001 (CoRR, 2024)

FinTruthQA: A Benchmark Dataset for Evaluating the Quality of Financial Information Disclosure. - Ziyue Xu; Peilin Zhou; Xinyu Shi; Jiageng Wu; Yikang Jiang; Bin Ke; Jie Yang 039 (CoRR, 2024)

CellSeg1: Robust Cell Segmentation with One Training Image. - Peilin Zhou; Bo Du; Yongchao Xu (CoRR, 2024)

Streamlining social media information retrieval for public health research with deep learning. - Yining Hua; Jiageng Wu; Shixu Lin; Minghui Li; Yujie Zhang; Dinah Foer; Siwen Wang; Peilin Zhou; Jie Yang 039; Li Zhou 007 (J. Am. Medical Informatics Assoc., 2024)

When Large Vision Language Models Meet Multimodal Sequential Recommendation: An Empirical Study. - Peilin Zhou; Chao Liu 001; Jing Ren 010; Xinfeng Zhou; Yueqi Xie; Meng Cao 002; Zhongtao Rao; You-Liang Huang; Dading Chong; Junling Liu; Jae Boum Kim; Shoujin Wang; et al. (WWW, 2025)

Cold-Start Recommendation towards the Era of Large Language Models (LLMs): A Comprehensive Survey and Roadmap. - Weizhi Zhang 001; Yuanchen Bei; Liangwei Yang; Henry Peng Zou; Peilin Zhou; Aiwei Liu; Yinghui Li; Hao Chen 062; Jianling Wang; Yu Wang 158; Feiran Huang; Sheng Zhou 004; et al. (CoRR, 2025)

BrowseComp-ZH: Benchmarking Web Browsing Ability of Large Language Models in Chinese. - Peilin Zhou; Bruce Leon; Xiang Ying; Can Zhang 001; Yifan Shao; Qichen Ye; Dading Chong; Zhiling Jin; Chenxuan Xie; Meng Cao 002; Yuxin Gu; Sixin Hong; et al. (CoRR, 2025)

Compliance-to-Code: Enhancing Financial Compliance Checking via Code Generation. - Siyuan Li; Jian Chen; Rui Yao; Xuming Hu; Peilin Zhou; Weihua Qiu; Simin Zhang; Chucheng Dong; Zhiyao Li; Qipeng Xie; Zixuan Yuan (CoRR, 2025)

From Web Search towards Agentic Deep Research: Incentivizing Search with Reasoning Agents. - Weizhi Zhang 001; Yangning Li; Yuanchen Bei; Junyu Luo 002; Guancheng Wan; Liangwei Yang; Chenxuan Xie; Yuyao Yang; Wei-Chieh Huang; Chunyu Miao; Henry Peng Zou; Xiao Luo 001; et al. (CoRR, 2025)