Bo Li

Bo Li

deepblue.lb@gmail.com

Bo Li · HomePage

Hi! I’m Bo Li (李博), currently a Lecturer at the School of Health Sciences and Biomedical Engineering, Hebei University of Technology, Tianjin, China.

I received my Ph.D. degree in June 2024 from the Knowledge Computing Lab, Peking University, where I was fortunate to be advised by Prof. Wei Ye, Prof. Wen Zhao, and Prof. Shikun Zhang.
My research focuses on Knowledge Computing and Information Processing, with particular interests in Large Language Models, Information Extraction and AI for Medical.

Interests

Large Language Model, Natural Language Processing, Information Extraction, AI for Medical, Retrieval-Augmented Generation, Data Augmentation.

Preprint

  • Evaluating ChatGPT’s Information Extraction Capabilities: An Assessment of Performance, Explainability, Calibration, and Faithfulness
    Bo Li, Gexiang Fang, Yang Yang, Quansen Wang, Wei Ye, Wen Zhao, and Shikun Zhang. Arxiv 2023.4 [paper][code]

Selected Publications

  • MPL: Multiple Programming Languages with Large Language Models for Information Extraction
    Bo Li, Gexiang Fang, Wei Ye, Zhenghua Xu, Jinglei Zhang, Hao Cheng and Shikun Zhang. ACL 2025, Findings. [paper][code]
  • MixCL: Mixed Contrastive Learning for Relation Extraction
    Jinglei Zhang, Bo Li(equal contribution), Xixin Cao, Minghui Zhang, Wen Zhao. PAKDD 2024, CCF Rank C, Full Paper.
  • Labels Need Prompts Too: Mask Matching for Natural Language Understanding Tasks
    Bo Li, Wei Ye, Quansen Wang, Wen Zhao, Shikun Zhang. AAAI 2024, CCF Rank A, Full Paper. [paper]
  • Sequence Generation with Label Augmentation for Relation Extraction
    Bo Li, Dingyao Yu, Wei Ye, Jinglei Zhang, Shikun Zhang. AAAI 2023, CCF Rank A, Full Paper (oral). [paper][code]
  • Reviewing Labels: Label Graph Network with Top-k Prediction Set for Relation Extraction
    Bo Li, Wei Ye, Jinglei Zhang, Shikun Zhang. AAAI 2023, CCF Rank A, Full Paper (oral). [paper]
  • Point, Disambiguate and Copy: Incorporating Bilingual Dictionaries for Neural Machine Translation
    Tong Zhang, Long Zhang, Wei Ye, Bo Li, Jinan Sun, Shikun Zhang, Xiaoyu Zhu and Wen Zhao. ACL 2021, CCF Rank A, Full Paper. [paper]
  • Multi-view Inference for Relation Extraction with Uncertain Knowledge
    Bo Li, Wei Ye, Canming Huang and Shikun Zhang. AAAI 2021, CCF Rank A, Full Paper. [paper][code]
  • Graph Enhanced Dual Attention Network for Document-Level Relation Extraction
    Bo Li, Wei Ye, Zhonghao Sheng, Rui Xie, Xiangyu Xi and Shikun Zhang. COLING 2020, CCF Rank B, Full Paper. [paper]
  • Sliding Hierarchical Recurrent Neural Networks for Sequence Classification
    Bo Li,Zhonghao Sheng, Wei Ye, Jinglei Zhang, Kai Liu and Shikun Zhang. IJCNN 2020, CCF Rank C, Full Paper. [paper]
  • Exploiting Entity BIO Tag Embeddings and Multi-task Learning for Relation Extraction with Imbalanced Data
    Wei Ye’, Bo Li’(equal contribution), Rui Xie, Zhonghao Sheng, Long Chen and Shikun Zhang. ACL 2019, CCF Rank A, Full Paper. [paper][code]
  • Long Text Analysis Using Sliced Recurrent Neural Networks with Breaking Point Information Enrichment
    Bo Li, Zehua Cheng, Zhenghua Xu, Wei Ye, Thomas Lukasiewicz, Shikun Zhang. ICASSP 2019, CCF Rank B, Full Paper. [paper]
  • Denoising Convolutional Autoencoder based B-mode Ultrasound Tongue Image Feature Extraction
    Bo Li, Kele Xu, Dawei Feng, Haibo Mi, Huaimin Wang, Jian Zhu. ICASSP 2019, CCF Rank B, Full Paper. [paper][code]
  • Multi-scale DenseNet-based Electricity Theft Detection
    Bo Li, Kele Xu, Xiaoyan Cui, Yiheng Wang, Xinbo Ai, Yanbo Wang. ICIC2018, CCF Rank C, Full Paper. [paper]

Awards and Honors

  • 2021 | Huawei Scholarship - Peking University.
  • 2021 | Exceptional Award for Academic Innovation - Peking University.
  • 2018 | National Scholarship - Beijing University of Posts and Telecommunications.
  • 2014 | Excellent Undergraduate Thesis - University of Jinan.

Selected Competitions

  • China AI and Law Challenge(CAIL2022): Event Detection. Rank: First Prize
  • China AI and Law Challenge(CAIL2022): Judicial Examination. Rank: Second Prize
  • China Computer Federation(CCF): Big Data & Computing Intelligence Contest 2019(BDCI) Sentiment Analysis Of Internet News. Rank: 3/2754
  • CIKM AnalytiCup 2018: Cross-Language Short Text Matching. Rank: 3/1027
  • IJCAI 2018: Click Transformation Rate Prediction. Rank: 5/5024
  • KDD2018: Weather Prediction. Rank: 7/4170
  • Tianchi: Medical Knowledge Graph Challenge. Rank: 2/1029
  • China Computer Federation(CCF)： Big Data & Computing Intelligence Contest 2017(BDCI) Optimization of Supermarket Supply and Marketing. Rank: 1/706
  • China Computer Federation(CCF)： Big Data & Computing Intelligence Contest 2017(BDCI) Business Operation Exit Risk Forecasting. Rank: 2/507
  • China Mobile: 4G User Churn Prediction. Rank: 1/126
  • ppdai Mirror Cup: Text Matching Challenge. Rank: 2/576
  • Kaggle: TGS Salt Identification Challenge. Rank: 10/3234(Gold Medal)

Internship Experience

  • 2021.07 - 2022.01 | Microsoft Research Asia (MSRA) - NLC Group, advised by Xingxing Zhang and Furu Wei.
  • 2018.06 - 2020.09 | Peking University - National Engineering Research Center For Software Enginering, advised by Prof. Wei Ye and Prof. Shikun Zhang.

Education

Academic Services

  • Program Committee (PC) Member: WWW2020, EMNLP2021, EMNLP2022, SDM2022, ACL2022, ACL2023, ECAL2023, EMNLP2023, COLING2024.

Contact with me

E-mail: deepblue.lb@gmail.com