Selected Publications: (See them in google scholar.)
Hanmo Liu, Shimin Di, Haoyang Li, Shuangyin Li(Corresponding author), Lei Chen, Xiaofang Zhou, “Effective Data Selection and Replay for Unsupervised Continual Learning”, toappear ICDE 2024. (CCF A)(Code)(PDF)(BibTex)
Fuda Ye, Shuangyin Li(Co-first and Corresponding author), "MileCut: A Multi-view Truncation Framework for Legal Case Retrieval", toappear TheWebConf 2024 (WWW2024). (CCF A) (Code)(PDF)(BibTex)
Mingdong Tang, Fenfang Xie, Sixian Lian, Jiajin Mai, Shuangyin Li(Corresponding author), "Mashup-Oriented API Recommendation via Pre-Trained Heterogeneous Information Networks", Information and Software Technology, 2024. (SCI & CCF B) (PDF)(BibTex)
Ziming Ye, Shuangyin Li(Co-first and Corresponding author), "A transformer-based neural network framework for full names prediction with abbreviations and contexts", Data & Knowledge Engineering, 2024. (SCI & CCF B) (Code)(PDF)(BibTex)
Qingfa Xiao, Shuangyin Li(Co-first and Corresponding author), Lei Chen, "Topic-DPR:Topic-based Prompts for Dense Passage Retrieval", EMNLP 2023 (CCF B)(Slices)(PDF)(BibTex)
Qingfa Xiao, Shuangyin Li(Co-first and Corresponding author), Lei Chen, "Identical and Fraternal Twins: Fine-Grained Semantic Contrastive Learning of Sentence Representations", ECAI 2023 (CCF B)(Slices)(PDF)(BibTex)
Haoyu Luo, Tianxiang Chen, Xuejun Li, Shuangyin Li(Corresponding author), Chong Zhang, Gansen Zhao, and Xiao Liu, "KeepEdge: A Knowledge Distillation Empowered Edge Intelligence Framework for Visual Assisted Positioning in UAV Delivery", IEEE Transactions On Mobile Computing. (SCI IF=6.075 & CCF A) (PDF)(Code) (BibTex).
Jiahao He, Shuangyin Li(Co-first and Corresponding author), Xinming Wang, Shing-Chi Cheung, Gansen Zhao and Jinji Yang, "Neural-FEBI: Accurate Function Identification in Ethereum Virtual Machine Bytecode", Journal of Systems and Software 2023. (SCI & CCF B) (Code)(PDF)( BibTex)
Huahang Li, Shuangyin Li(Co-first and Corresponding author), Yuncheng Jiang, Gansen Zhao, "CoPatE: a novel Contrastive Learning Framework for Patent Embeddings", 31st ACM International Conference on Information and Knowledge Management(CIKM), 2022. (CCF B) (PDF)(Slices)( BibTex).
Shuangyin Li, Weiwei Chen, Yu Zhang, Rong Pan, Gansen Zhao, Zhenhua Huang, Yong Tang, "A Context-Enhanced Sentence Representation Learning method for Close Domains with Topic Modeling", Information Sciences, 2022. (SCI top IF=8.233 & CCF B) (PDF)(Code) (BibTex).
Shuangyin Li, Haoyu Luo, Gansen Zhao, Mingdong Tang and Xiao Liu. "bi-Directional Bayesian Probabilistic Model based Hybrid Grained Semantic Matchmaking for Web Service Discovery", World Wide Web - Internet and Web Information Systems. (SCI IF=3.000 & CCF B) (PDF)(Code) (BibTex).
Shuangyin Li, Rong Pan, Haoyu Luo, Xiao Liu, Gansen Zhao. "Adaptive Cross-contextual Word Embedding for Word Polysemy with Unsupervised Topic Modeling". Knowledge-Based Systems (SCI & IF=8.139) (PDF)(Code) (BibTex).
Huijuan Wang, Shuangyin Li(Corresponding author), Rong Pan. "An Adversarial Transfer Network for Knowledge Representation Learning". TheWebConf 2021 (WWW2021) (CCF A) (PDF) (Code)
(BibTex).
Shuangyin Li, Yu Zhang, Rong Pan. "Bi-Directional Recurrent Attentional Topic Model". ACM Trans. KDD (SCI & IF=4.157 & CCF B) (PDF)
(Code)
(BibTex).
Shuangyin Li, Heng Wang, Rong Pan, Mingzhi Mao. "MemoryPath: A deep reinforcement learning framework for incorporating memory component into knowledge graph reasoning". Neurocomputing. (SCI & IF=5.779) (PDF)
(Code)
(BibTex).
Wenshen Xu, Shuangyin Li(Corresponding author), Yonghe Lu. "Usr-mtl: an unsupervised sentence representation learning framework with multi-task learning". Applied Intelligence. (SCI & IF=5.019 & CCF C) (PDF)
(Code)
(BibTex).
Shuangyin Li, Haoyu Luo and Gansen Zhao. "An Effective Semantic Matchmaking Model for Web Service Discovery". IEEE ICWS 2020. (CCF B)
(PDF)
(BibTex).
Shuangyin Li, Yu Zhang, Rong Pan and Kaixiang Mo. "Adaptive Probabilistic Word Embedding". TheWebConf 2020 (WWW2020) . (CCF A)
(PDF)(Code)
(BibTex).
Heng Wang, Shuangyin Li, Rong Pan and Mingzhi Mao. "Incorporating Graph Attention Mechanism into Knowledge Graph Reasoning Based on Deep Reinforcement Learning". EMNLP 2019 . (CCF B)
(PDF)
(BibTex).
Peifeng Wang, Shuangyin Li and Rong Pan. "Incorporating GAN for Negative Sampling in Knowledge Representation Learning". AAAI 2018. (CCF A)
(PDF)
(BibTex)
Kaixiang Mo, Yu Zhang, Shuangyin Li, Jiajun Li and Qiang Yang. "Personalizing a Dialogue System with Transfer Reinforcement Learning". AAAI 2018. (CCF A)
(PDF)
(BibTex)
Zhengjie Huang, Zi Ye, Shuangyin Li and Rong Pan. "Length Adaptive Recurrent Model for Text Classification". CIKM 2017. (CCF B)
(PDF)
(BibTex)
Shuangyin Li, Rong Pan and Jun Yan. "Self-paced Compensatory Deep Boltzmann Machine for Semi-Structured Document Embedding". IJCAI 2017. (CCF A)
(PDF)
(BibTex
)
Shuangyin Li, Yu Zhang, Rong Pan and Mingzhi Mao. "Recurrent Attentional Topic Model". AAAI 2017. (CCF A)
(PDF)
(code)
(BibTex)
Shuangyin Li, Rong Pan, Yu Zhang, Qiang Yang. "Correlated Tag Learning in Topic Model".
UAI 2016. (CCF B)
(PDF)
(code)
(BibTex)
Shuangyin Li, Jiefei Li, Guan Huang, Ruiyang Tan, Rong Pan. "Tag-Weighted Topic Model For Large-scale Semi-Structured Documents". arXiv preprint arXiv:1507.08396 (2015)
(PDF)
(code)
(BibTex)
Shuangyin Li, Guan Huang, Ruiyang Tan, Rong Pan. "Tag-Weighted Dirichlet Allocation".
ICDM 2013. (CCF B)
(PDF)
(code)
(BibTex)
Shuangyin Li, Jiefei Li, and Rong Pan. "Tag-Weighted Topic Model for Mining Semi-Structured Documents". IJCAI 2013. (CCF A)
(PDF)
(code)
(BibTex)
Xinyue wang, Shuangyin Li(Corresponding author), "Prediction of COVID-19 Using a WOA-BILSTM Model", Bioengineering, 2023, (SCI/Q2/IF=4.6)(PDF)
Haorong Li, Zihao Chen, Jingtao Zhou, and Shuangyin Li(Corresponding author), "Reducing The Teacher-Student Gap Via Elastic Student", KSEM, 2023. (CCF C)
Chengchuang Lin, HanbiaoChen, JieshengHuang, JingPeng, LiGuo, ZhirongYang, Jiahua Du, ShuangyinLi(Corresponding author), AihuaYin, GansenZhao, "ChromosomeNet: A massive dataset enabling benchmarking and building basedlines of clinical chromosome classification". Computational Biology and Chemistry, 2022. (SCI/Q1/IF=3.737)
Wenyuan Li, Shuangyin Li, et al. , "EOSIOAnalyzer: An Effective Static Analysis Vulnerability Detection Framework for EOSIO Smart Contracts", COMPSAC 2022. (CCF C)
Qingren Zeng, Shuangyin Li, et al. , "EtherGIS: A Vulnerability Detection Framework for Ethereum Smart Contracts Based on Graph Learning Features". COMPSAC 2022. (CCF C)
Chengchuang Lin, Gansen Zhao, Shuangyin Li, et al. "A Novel Chromosome Cluster Identification Method Using ResNeXt WSL model". Journal of Medical Image Analysis，2021. (SCI/Q1/IF=13.828)
Runye Huang, Chengchuang Lin, Gansen Zhao, Shuangyin Li, et al. A Clinical Dataset and Various Baselines for Chromosome Instance Segmentation. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2022. (SCI/Q3/IF=3.71)
Chengchuang Lin, Gansen Zhao, Zhirong Yang, Shuangyin Li, et al. “机器视觉应用中的图像数据增广综述”，Journal of Frontiers of Computer Science and Technology，2021. (CCF B)
Kaixin Huang, Shuangyin Li(Corresponding author), et al,. "A novel chromosome instance segmentation method based on geometry and deep learning", IJCNN 2021. (CCF C)
Jing Peng, Shuangyin Li, et al. "Identification of Incorrect Karyotypes Using Deep Learning", ICANN 2021, pp 453-464. (CCF C)
2024
NEW2023
2022
2021
2020
2019
2018
2017
2016
2015
2013
Other Publications:
Patents:
Some patents in China, CN201611194573.8, CN201710023633.8, CN201710506259.7, CN201710617657.6, CN202010542552.0, CN202010542528.7, CN202010507774.9, CN202010506557.8, CN202020435232.0, CN202020433676.0, et al.