Selected Publications: (See them in google scholar.)
Wenxin Zhao, Jiachuan Wang, Yongqi Zhang, Shuangyin Li, Cheng Deng, Jun Wang, Lei Chen, "VoG: Enhancing LLM Reasoning through Stepwise Verification on Knowledge Graphs", toapper ICLR 2026. (Equal with CCF A)(PDF)(BibTex)(Code) Junyu Cheng, Zhibiao Liang, Yidong Chen and Shuangyin Li(Corresponding Author), "RFI: Rectified Flow Intervention for Mitigating Object Hallucination in Large Vision-Language Models", toapper AAAI 2026. (CCF A)(PDF)(BibTex)(Code) Zuohan Wu, Jiachuang Wang, Libin Zheng, Yongqi Zhang, Shuangyin Li and Lei Chen, "Efficient Zero-shot and Label-free Log Anomaly Detection for Resource-constrained Systems", toapper the 2026 IEEE International Conference on Data Engineering (ICDE 2026). (CCF A)(PDF)(BibTex)(Code) Junyu Cheng, Chang Pan, Shuangyin Li(Corresponding Author), "ToneCraft: Cantonese Lyrics Generation with Harmony of Tones and Pitches", Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025). (CCF B)(PDF)(BibTex) Shuangyin Li, Jihua Yang, Yixuan Wang, Shimin Di, Lei Chen, "ESCFD: Probabilistic Flow Diffusion Model for Accelerated High-Quality Single-Cell RNA-seq Data Synthesis", Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2025). (CCF A)(PDF)(BibTex)(Code) Wenzhuo Zhao, Shuangyin Li(Corresponding Author), "RUBY: An Effective Framework for Multi-Constraint Multi-Hop Question Generation", The 63rd Annual Meeting of the Association for Computational Linguistics(ACL 2025). (CCF A)(PDF)(BibTex)(Code) Tong LI, Jiachuan Wang, Yongqi Zhang, Shuangyin Li, Lei Chen, "Adapting Pretrained Language Models for Citation Classification via Self-Supervised Contrastive Learning", Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2025). (CCF A)(PDF)(BibTex)(Code) Eryu Wang, Liping Luo, Jiachuan Wang, Jiaxin Dai, Shuangyin Li(Corresponding Author), Lei Chen, Jia Li, "A Dataset for Investigations of Amine-Impregnated Solid Adsorbent for Direct Air Capture", Scientific Data, 12, Article number: 724 Nature 2025. (PDF)(BibTex)
Fuda Ye, Shuangyin Li(Corresponding author), Yongqi Zhang, Lei Chen, "R2AG: Incorporating Retrieval Information into Retrieval Augmented Generation", The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024). (CCF B) (Code)(PDF)(BibTex)
Le Cheng, Shuangyin Li(Corresponding author), “DiffusPoll: Conditional Text Diffusion Model for Poll Generation”, The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024). (CCF A)(Code)(PDF)(BibTex)
Hanmo Liu, Shimin Di, Haoyang Li, Shuangyin Li(Corresponding author), Lei Chen, Xiaofang Zhou, “Effective Data Selection and Replay for Unsupervised Continual Learning”, 2024 IEEE 40th International Conference on Data Engineering (ICDE 2024). (CCF A)(Code)(PDF)(BibTex)
Huahang Li, Shuangyin Li, Fei Hao, Chen Jason Zhang, Yuanfeng Song, Lei Chen, “BoostER: Leveraging Large Language Models for Enhancing Entity Resolution”, WWW '24 Companion: Companion Proceedings of the ACM on Web Conference 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", Proceedings of The Web Conference 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, Volume 169, May 2024, 107428. (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, Volume 150, March 2024, 102275. (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", Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (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", 26th European Conference on Artificial Intelligence (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, Volume. 22, No. 8, pp. 4729-4741, 1 August, 2023. (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, Volume 199, May 2023, 111627. (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, Volume 607, August 2022, Pages 186-210, 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, Volume 25, pages 445–470, (WWWJ 2022). (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, Volume 218, 22 April 2021, 106827. (SCI & IF=8.139) (PDF)(Code) (BibTex).
Huijuan Wang, Shuangyin Li(Corresponding author), Rong Pan. "An Adversarial Transfer Network for Knowledge Representation Learning". Proceedings of The Web Conference 2021 (WWW2021) (CCF A) (PDF) (Code)
(BibTex).
Shuangyin Li, Yu Zhang, Rong Pan. "Bi-Directional Recurrent Attentional Topic Model". ACM Transactions on Knowledge Discovery from Data, Volume 14, Issue 6, Article No.: 74, Pages 1 - 30. (TKDD) (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, Volume 419, 2 January 2021, Pages 273-286. (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, Volume 51, pages 3506–3521, (2021). (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 International Conference on Web Services (IEEE ICWS 2020). (CCF B)
(PDF)
(BibTex).
Shuangyin Li, Yu Zhang, Rong Pan and Kaixiang Mo. "Adaptive Probabilistic Word Embedding". Proceedings of The Web Conference 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". Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP 2019). (CCF B)
(PDF)
(BibTex).
Peifeng Wang, Shuangyin Li and Rong Pan. "Incorporating GAN for Negative Sampling in Knowledge Representation Learning". The Thirty-Second AAAI Conference on Artificial Intelligence (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". The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI 2018). (CCF A)
(PDF)
(BibTex)
Zhengjie Huang, Zi Ye, Shuangyin Li and Rong Pan. "Length Adaptive Recurrent Model for Text Classification". The 26th ACM International Conference on Information and Knowledge Management (CIKM 2017). (CCF B)
(PDF)
(BibTex)
Shuangyin Li, Rong Pan and Jun Yan. "Self-paced Compensatory Deep Boltzmann Machine for Semi-Structured Document Embedding". Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI 2017). (CCF A)
(PDF)
(BibTex
)
Shuangyin Li, Yu Zhang, Rong Pan and Mingzhi Mao. "Recurrent Attentional Topic Model". The Thirty-First AAAI Conference on Artificial Intelligence (AAAI 2017). (CCF A)
(PDF)
(code)
(BibTex)
Shuangyin Li, Rong Pan, Yu Zhang, Qiang Yang. "Correlated Tag Learning in Topic Model".
The Conference on Uncertainty in Artificial Intelligence (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".
2013 IEEE International Conference on Data Mining (ICDM 2013). (CCF B)
(PDF)
(code)
(BibTex)
Shuangyin Li, Jiefei Li, and Rong Pan. "Tag-Weighted Topic Model for Mining Semi-Structured Documents". 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013). (CCF A)
(PDF)
(code)
(BibTex)
Jiarui Chen, Shuangyin Li and Yuncheng Jiang, "A Decomposed-Distilled Sequential Framework for Text-to-Table Task with LLMs", PRICAI 2024: Trends in Artificial Intelligence. (CCF C),(PDF).
Shuangyin Li, Jinbin Zhang and Yuncheng Jiang, "An End-to-End Method for Chinese Spelling Error Detection and Correction", PRICAI 2024: Trends in Artificial Intelligence. (CCF C),(PDF).
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)
2026
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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.