Learning how to active learn: A deep reinforcement learning approach M Fang, Y Li, T Cohn arXiv preprint arXiv:1708.02383, 2017 | 372 | 2017 |
Solving the data sparsity problem in destination prediction AY Xue, J Qi, X Xie, R Zhang, J Huang, Y Li The VLDB Journal 24, 219-243, 2015 | 124 | 2015 |
Exploiting worker correlation for label aggregation in crowdsourcing Y Li, B Rubinstein, T Cohn International conference on machine learning, 3886-3895, 2019 | 78 | 2019 |
Truth inference at scale: A bayesian model for adjudicating highly redundant crowd annotations Y Li, B IP Rubinstein, T Cohn The World Wide Web Conference, 1028-1038, 2019 | 36 | 2019 |
Convex-Envelope Based Automated Quantitative Approach to Multi-Voxel 1H-MRS Applied to Brain Tumor Analysis W Dou, M Zhang, X Zhang, Y Li, H Chen, S Li, M Lu, J Dai, JM Constans PloS one 10 (9), e0137850, 2015 | 16 | 2015 |
Multilingual ner transfer for low-resource languages A Rahimi, Y Li, T Cohn Proceedings of the 2019 Conference of the Chapter of the Association for …, 2019 | 14 | 2019 |
Finding lowest-cost paths in settings with safe and preferred zones S Aljubayrin, J Qi, CS Jensen, R Zhang, Z He, Y Li The VLDB Journal 26, 373-397, 2017 | 10 | 2017 |
Large-scale protein-protein post-translational modification extraction with distant supervision and confidence calibrated BioBERT A Elangovan, Y Li, DEV Pires, MJ Davis, K Verspoor BMC bioinformatics 23, 1-23, 2022 | 9 | 2022 |
ChEMU 2021: reaction reference resolution and anaphora resolution in chemical patents J He, B Fang, H Yoshikawa, Y Li, SA Akhondi, C Druckenbrodt, C Thorne, ... Advances in Information Retrieval: 43rd European Conference on IR Research …, 2021 | 8 | 2021 |
Destination prediction by identifying and clustering prominent features from public trajectory datasets L Yang, AY Xue, Y Li, R Zhang EAI Endorsed Transactions on Scalable Information Systems 2 (5), 2015 | 6 | 2015 |
Overview of ChEMU 2021: reaction reference resolution and anaphora resolution in chemical patents Y Li, B Fang, J He, H Yoshikawa, SA Akhondi, C Druckenbrodt, C Thorne, ... Experimental IR Meets Multilinguality, Multimodality, and Interaction: 12th …, 2021 | 5 | 2021 |
Focused contrastive loss for classification with pre-trained language models J He, Y Li, Z Zhai, B Fang, C Thorne, C Druckenbrodt, S Akhondi, ... IEEE Transactions on Knowledge and Data Engineering 36 (7), 3047-3061, 2023 | 4 | 2023 |
Overview of ChEMU 2022 evaluation campaign: information extraction in chemical patents Y Li, B Fang, J He, H Yoshikawa, SA Akhondi, C Druckenbrodt, C Thorne, ... International Conference of the Cross-Language Evaluation Forum for European …, 2022 | 4 | 2022 |
Extended Overview of ChEMU 2021: Reaction Reference Resolution and Anaphora Resolution in Chemical Patents. Y Li, B Fang, J He, H Yoshikawa, SA Akhondi, C Druckenbrodt, C Thorne, ... CLEF (Working Notes), 693-709, 2021 | 4 | 2021 |
Effects of human adversarial and affable samples on BERT generalization A Elangovan, J He, Y Li, K Verspoor arXiv preprint arXiv:2310.08008, 2023 | 3 | 2023 |
The ChEMU 2022 evaluation campaign: information extraction in chemical patents Y Li, B Fang, J He, H Yoshikawa, SA Akhondi, C Druckenbrodt, C Thorne, ... European Conference on Information Retrieval, 400-407, 2022 | 2 | 2022 |
Principles from Clinical Research for NLP Model Generalization A Elangovan, J He, Y Li, K Verspoor arXiv preprint arXiv:2311.03663, 2023 | | 2023 |
End-to-End Chemical Reaction Extraction from Patents Y Li, K Verspoor PatentSemTech 2022, 2, 2022 | | 2022 |
Extended Overview of ChEMU 2022 Evaluation Campaign: Information Extraction in Chemical Patents. Y Li, B Fang, J He, H Yoshikawa, SA Akhondi, C Druckenbrodt, C Thorne, ... CLEF (Working Notes), 758-781, 2022 | | 2022 |
A Bayesian Approach for Inferring the Hidden Truth from Crowdsourced Annotations Y Li, M Fang, BIP Rubinstein, T Cohn 4TH ANNUAL DOCTORAL COLLOQUIUM, 29, 2016 | | 2016 |