Shuangyin Li

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.

Positions and Educations:

2020 to Now: Associate Professor and Senior Researcher in School of Computer Science, South China Normal University, Guangzhou.
2017 - 2019: Idled and Fooled around to be Principal Researcher in two startup AI companies, Shenzhen and Guangzhou.
2015 - 2017: PostDoc in Department of Computer Science and Engineering, Hong Kong University of Science and Technology.
Supervisor: Prof. Qiang Yang.
2013 - 2014: Visiting Researcher in Microsoft Research Asia (MSRA).
2011 - 2014: Ph.D in School of Data and Computer Science, Sun Yat-sen University, Guangzhou. Supervisors: Prof. Rong Pan and Prof. Jianlin Feng.
2009 - 2011: M.Sc. in School of Data and Computer Science, Sun Yat-sen University, Guangzhou. Supervisor: Prof. Hongyang Chao.
2005 - 2009: B.Sc. in School of Information Science and Engineering, Lanzhou University, Gansu Province.

Selected Publications: (See them in google scholar.)

2023

NEW

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", toappear Journal of Systems and Software, (CCF B) (Code)(PDF)

2022

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)( 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).

2021

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).

2020

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).

2019

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).

2018

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)

2017

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)

2016

Shuangyin Li, Rong Pan, Yu Zhang, Qiang Yang. "Correlated Tag Learning in Topic Model". UAI 2016. (CCF B) (PDF) (code) (BibTex)

2015

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)

2013

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)

Dr. Shuangyin Li (李双印)