Enjoy the simple happiness to do research, nothing more.

My interests: Machine Learning, Data Mining, Artificial Intelligence, Text Modeling, Deep Learning, and My L(W)ife.

Host Fundings:

  • National Natural Science Foundation of China (No. 62006083).
  • National Key Research and Development Program of China (2020YFA0712500)
  • Science and Technology Projects in Guangzhou (202102020654)

  • Courses

  • Natural Language Processing & Natural Language Understanding, 2021 Fall, Major: Computer Science(CS2019); 2022 Spring, Major: Artificial Intelligence(AI2019). Course Projects
  • Mathematics Modeling,2021 Spring, Major: Computer Science(CS2019)
  • Python, 2020 Spring, Major: Optical Information Science and Technology(2019). 2020 Fall, Major: National Scientific Base for Psychology(2019)

  • Selected Publications: (See them in google scholar.)


  • toappear CIKM 2022, "CoPatE: a novel Contrastive Learning Framework for Patent Embeddings", 31st ACM International Conference on Information and Knowledge Management(CIKM), 2022. (CCF B) (PDF)(Code) ( 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).
  • 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).
  • 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)

    Other Publications:

  • 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)
  • 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, 2021. (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)

  • Academic and Community Service Activities

    Journal Reviewer and Conference (Senior) PC Member:

    TPAMI, IEEE Transactions on Circuits and Systems for Video Technology, Knowledge-Based Systems, Scientific Reports, Mathematics;

    AAAI(2016, 2019, 2020, 2021, 2022), IJCAI(2017, 2020), ACL(2020,2021,2022), AACL-IJCNLP(2020,2022), ACL-IJCNLP(2021), EMNLP(2015, 2016, 2017, 2019, 2020, 2021, 2022), NAACL-HLT(2018, 2021), EACL (2021), et al.


    Consultant at cewisec.com


    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.