Shuangyin Li

According to our database, Shuangyin Li authored at least 38 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

BoostER: Leveraging Large Language Models for Enhancing Entity Resolution.

Huahang Li, Shuangyin Li, Fei Hao, Chen Jason Zhang, Yuanfeng Song, Lei Chen

CoRR, 2024

On Leveraging Large Language Models for Enhancing Entity Resolution.

Huahang Li, Longyu Feng, Shuangyin Li, Fei Hao, Chen Jason Zhang, Yuanfeng Song, Lei Chen

CoRR, 2024

S²-DMs: Skip-Step Diffusion Models.

Yixuan Wang, Shuangyin Li

CoRR, 2024

2023

KeepEdge: A Knowledge Distillation Empowered Edge Intelligence Framework for Visual Assisted Positioning in UAV Delivery.

Haoyu Luo, Tianxiang Chen, Xuejun Li, Shuangyin Li, Chong Zhang, Gansen Zhao, Xiao Liu

IEEE Trans. Mob. Comput., August, 2023

Neural-FEBI: Accurate function identification in Ethereum Virtual Machine bytecode.

Jiahao He, Shuangyin Li, Xinming Wang, Shing-Chi Cheung, Gansen Zhao, Jinji Yang

J. Syst. Softw., May, 2023

Single-Cell RNA-seq Synthesis with Latent Diffusion Model.

Yixuan Wang, Shuangyin Li, Shimin Di, Lei Chen

CoRR, 2023

Reducing the Teacher-Student Gap via Elastic Student.

Haorong Li, Zihao Chen, Jingtao Zhou, Shuangyin Li

Proceedings of the Knowledge Science, Engineering and Management, 2023

Topic-DPR: Topic-based Prompts for Dense Passage Retrieval.

Qingfa Xiao, Shuangyin Li, Lei Chen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Identical and Fraternal Twins: Fine-Grained Semantic Contrastive Learning of Sentence Representations.

Qingfa Xiao, Shuangyin Li, Lei Chen

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022

bi-directional Bayesian probabilistic model based hybrid grained semantic matchmaking for Web service discovery.

Shuangyin Li, Haoyu Luo, Gansen Zhao, Mingdong Tang, Xiao Liu

World Wide Web, 2022

A Clinical Dataset and Various Baselines for Chromosome Instance Segmentation.

Runhua Huang, Chengchuang Lin, Aihua Yin, Hanbiao Chen, Li Guo, Gansen Zhao, Xiaomao Fan, Shuangyin Li, Jinji Yang

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

A context-enhanced sentence representation learning method for close domains with topic modeling.

Shuangyin Li, Weiwei Chen, Yu Zhang, Gansen Zhao, Rong Pan, Zhenhua Huang, Yong Tang

Inf. Sci., 2022

ChromosomeNet: A massive dataset enabling benchmarking and building basedlines of clinical chromosome classification.

Chengchuang Lin, Hanbiao Chen, Jiesheng Huang, Jing Peng, Li Guo, Zhirong Yang, Jiahua Du, Shuangyin Li, Aihua Yin, Gansen Zhao

Comput. Biol. Chem., 2022

EtherGIS: A Vulnerability Detection Framework for Ethereum Smart Contracts Based on Graph Learning Features.

Qingren Zeng, Jiahao He, Gansen Zhao, Shuangyin Li, Jingji Yang, Hua Tang, Haoyu Luo

Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022

EOSIOAnalyzer: An Effective Static Analysis Vulnerability Detection Framework for EOSIO Smart Contracts.

Wenyuan Li, Jiahao He, Gansen Zhao, Jinji Yang, Shuangyin Li, Ruilin Lai, Ping Li, Hua Tang, Haoyu Luo, Ziheng Zhou

Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022

CoPatE: A Novel Contrastive Learning Framework for Patent Embeddings.

Huahang Li, Shuangyin Li, Yuncheng Jiang, Gansen Zhao

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

A novel chromosome cluster types identification method using ResNeXt WSL model.

Chengchuang Lin, Gansen Zhao, Aihua Yin, Zhirong Yang, Li Guo, Hanbiao Chen, Lei Zhao, Shuangyin Li, Haoyu Luo, Zhaohui Ma

Medical Image Anal., 2021

Adaptive cross-contextual word embedding for word polysemy with unsupervised topic modeling.

Shuangyin Li, Rong Pan, Haoyu Luo, Xiao Liu, Gansen Zhao

Knowl. Based Syst., 2021

MemoryPath: A deep reinforcement learning framework for incorporating memory component into knowledge graph reasoning.

Shuangyin Li, Heng Wang, Rong Pan, Mingzhi Mao

Neurocomputing, 2021

Usr-mtl: an unsupervised sentence representation learning framework with multi-task learning.

Wenshen Xu, Shuangyin Li, Yonghe Lu

Appl. Intell., 2021

An Adversarial Transfer Network for Knowledge Representation Learning.

Huijuan Wang, Shuangyin Li, Rong Pan

Proceedings of the WWW '21: The Web Conference 2021, 2021

A novel chromosome instance segmentation method based on geometry and deep learning.

Kaixin Huang, Chengchuang Lin, Runhua Huang, Gansen Zhao, Aihua Yin, Hanbiao Chen, Li Guo, Chun Shan, Ruihua Nie, Shuangyin Li

Proceedings of the International Joint Conference on Neural Networks, 2021

Identification of Incorrect Karyotypes Using Deep Learning.

Jing Peng, Chengchuang Lin, Gansen Zhao, Aihua Yin, Hanbiao Chen, Li Guo, Shuangyin Li

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020

Bi-Directional Recurrent Attentional Topic Model.

Shuangyin Li, Yu Zhang, Rong Pan

ACM Trans. Knowl. Discov. Data, 2020

Adaptive Probabilistic Word Embedding.

Shuangyin Li, Yu Zhang, Rong Pan, Kaixiang Mo

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

bi-HPTM: An Effective Semantic Matchmaking Model for Web Service Discovery.

Shuangyin Li, Haoyu Luo, Gansen Zhao

Proceedings of the 2020 IEEE International Conference on Web Services, 2020

2019

Research on Strategy Optimization of OpenFlow Switch Flow Table Based on "Bus Route" Idea.

Zhaohui Ma, Gansen Zhao, Chengchuang Lin, Haoyu Luo, Chunyun Deng, Shuangyin Li, Qinglan Wu, Zefeng Mo, Zanbo Zhang

Proceedings of the 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2019

Incorporating Graph Attention Mechanism into Knowledge Graph Reasoning Based on Deep Reinforcement Learning.

Heng Wang, Shuangyin Li, Rong Pan, Mingzhi Mao

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

Incorporating GAN for Negative Sampling in Knowledge Representation Learning.

Peifeng Wang, Shuangyin Li, Rong Pan

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Personalizing a Dialogue System With Transfer Reinforcement Learning.

Kaixiang Mo, Yu Zhang, Shuangyin Li, Jiajun Li, Qiang Yang

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Self-paced Compensatory Deep Boltzmann Machine for Semi-Structured Document Embedding.

Shuangyin Li, Rong Pan, Jun Yan

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Length Adaptive Recurrent Model for Text Classification.

Zhengjie Huang, Zi Ye, Shuangyin Li, Rong Pan

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Recurrent Attentional Topic Model.

Shuangyin Li, Yu Zhang, Rong Pan, Mingzhi Mao, Yang Yang

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Personalizing a Dialogue System with Transfer Learning.

Kaixiang Mo, Shuangyin Li, Yu Zhang, Jiajun Li, Qiang Yang

CoRR, 2016

Correlated Tag Learning in Topic Model.

Shuangyin Li, Rong Pan, Yu Zhang, Qiang Yang

Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

2015

Tag-Weighted Topic Model For Large-scale Semi-Structured Documents.

Shuangyin Li, Jiefei Li, Guan Huang, Ruiyang Tan, Rong Pan

CoRR, 2015

2013

Tag-Weighted Topic Model for Mining Semi-Structured Documents.

Shuangyin Li, Jiefei Li, Rong Pan

Proceedings of the IJCAI 2013, 2013

Tag-Weighted Dirichlet Allocation.

Shuangyin Li, Guan Huang, Ruiyang Tan, Rong Pan

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013