Yuan Li

24 papers A* 3Journal 11Unranked 9
YearRankTypeTitle / Venue / Authors
2024 J jnl
Focused Contrastive Loss for Classification With Pre-Trained Language Models.
IEEE Trans. Knowl. Data Eng.
Jiayuan He, Yuan Li, Zenan Zhai, Biaoyan Fang, Camilo Thorne, Christian Druckenbrodt, Saber A. Akhondi, Karin Verspoor
2024 — conf
Principles from Clinical Research for NLP Model Generalization.
NAACL-HLT
Aparna Elangovan, Jiayuan He, Yuan Li, Karin Verspoor
2023 — conf
Effects of Human Adversarial and Affable Samples on BERT Generalizability.
EMNLP (Findings)
Aparna Elangovan, Estrid He, Yuan Li, Karin Verspoor
2023 J jnl
Effects of Human Adversarial and Affable Samples on BERT Generalizability.
CoRR
Aparna Elangovan, Jiayuan He, Yuan Li, Karin Verspoor
2023 J jnl
Principles from Clinical Research for NLP Model Generalization.
CoRR
Aparna Elangovan, Jiayuan He, Yuan Li, Karin Verspoor
2022 — conf
Extended Overview of ChEMU 2022 Evaluation Campaign: Information Extraction in Chemical Patents.
CLEF (Working Notes)
Yuan Li, Biaoyan Fang, Jiayuan He, Hiyori Yoshikawa, Saber A. Akhondi, Christian Druckenbrodt, Camilo Thorne, Zubair Afzal, Zenan Zhai, Kojiro Machi, Masaharu Yoshioka, Youngrok Jang, Hosung Song, Junho Lee, Gyeonghun Kim, Yireun Kim, Stanley Jungkyu Choi, Honglak Lee, Kyunghoon Bae, Darshini Mahendran, Christina Tang, Bridget T. McInnes, Timothy Baldwin, Karin Verspoor
2022 J jnl
Large-scale protein-protein post-translational modification extraction with distant supervision and confidence calibrated BioBERT.
BMC Bioinform.
Aparna Elangovan, Yuan Li, Douglas E. V. Pires, Melissa J. Davis, Karin Verspoor
2022 J jnl
Large-scale protein-protein post-translational modification extraction with distant supervision and confidence calibrated BioBERT.
CoRR
Aparna Elangovan, Yuan Li, Douglas E. V. Pires, Melissa J. Davis, Karin Verspoor
2022 — conf
Overview of ChEMU 2022 Evaluation Campaign: Information Extraction in Chemical Patents.
CLEF
Yuan Li, Biaoyan Fang, Jiayuan He, Hiyori Yoshikawa, Saber A. Akhondi, Christian Druckenbrodt, Camilo Thorne, Zubair Afzal, Zenan Zhai, Timothy Baldwin, Karin Verspoor
2022 — conf
The ChEMU 2022 Evaluation Campaign: Information Extraction in Chemical Patents.
ECIR (2)
Yuan Li, Biaoyan Fang, Jiayuan He, Hiyori Yoshikawa, Saber A. Akhondi, Christian Druckenbrodt, Camilo Thorne, Zenan Zhai, Zubair Afzal, Trevor Cohn, Timothy Baldwin, Karin Verspoor
2021 — conf
ChEMU 2021: Reaction Reference Resolution and Anaphora Resolution in Chemical Patents.
ECIR (2)
Jiayuan He, Biaoyan Fang, Hiyori Yoshikawa, Yuan Li, Saber A. Akhondi, Christian Druckenbrodt, Camilo Thorne, Zubair Afzal, Zenan Zhai, Lawrence Cavedon, Trevor Cohn, Timothy Baldwin, Karin Verspoor
2021 — conf
Extended Overview of ChEMU 2021: Reaction Reference Resolution and Anaphora Resolution in Chemical Patents.
CLEF (Working Notes)
Yuan Li, Biaoyan Fang, Jiayuan He, Hiyori Yoshikawa, Saber A. Akhondi, Christian Druckenbrodt, Camilo Thorne, Zubair Afzal, Zenan Zhai, Timothy Baldwin, Karin Verspoor
2021 — conf
Overview of ChEMU 2021: Reaction Reference Resolution and Anaphora Resolution in Chemical Patents.
CLEF
Yuan Li, Biaoyan Fang, Jiayuan He, Hiyori Yoshikawa, Saber A. Akhondi, Christian Druckenbrodt, Camilo Thorne, Zubair Afzal, Zenan Zhai, Timothy Baldwin, Karin Verspoor
2019 A* conf
Exploiting Worker Correlation for Label Aggregation in Crowdsourcing.
ICML
Yuan Li, Benjamin I. P. Rubinstein, Trevor Cohn
2019 — conf
Massively Multilingual Transfer for NER.
ACL (1)
Afshin Rahimi, Yuan Li, Trevor Cohn
2019 J jnl
Multilingual NER Transfer for Low-resource Languages.
CoRR
Afshin Rahimi, Yuan Li, Trevor Cohn
2019 — —
Probabilistic models for aggregating crowdsourced annotations.
Yuan Li
2019 A* conf
Truth Inference at Scale: A Bayesian Model for Adjudicating Highly Redundant Crowd Annotations.
WWW
Yuan Li, Benjamin I. P. Rubinstein, Trevor Cohn
2019 J jnl
Truth Inference at Scale: A Bayesian Model for Adjudicating Highly Redundant Crowd Annotations.
CoRR
Yuan Li, Benjamin I. P. Rubinstein, Trevor Cohn
2017 J jnl
Finding lowest-cost paths in settings with safe and preferred zones.
VLDB J.
Saad Aljubayrin, Jianzhong Qi, Christian S. Jensen, Rui Zhang, Zhen He, Yuan Li
2017 A* conf
Learning how to Active Learn: A Deep Reinforcement Learning Approach.
EMNLP
Meng Fang, Yuan Li, Trevor Cohn
2017 J jnl
Learning how to Active Learn: A Deep Reinforcement Learning Approach.
CoRR
Meng Fang, Yuan Li, Trevor Cohn
2015 J jnl
Destination Prediction by Identifying and Clustering Prominent Features from Public Trajectory Datasets.
EAI Endorsed Trans. Scalable Inf. Syst.
Li Yang, Andy Yuan Xue, Yuan Li, Rui Zhang
2015 J jnl
Solving the data sparsity problem in destination prediction.
VLDB J.
Andy Yuan Xue, Jianzhong Qi, Xing Xie, Rui Zhang, Jin Huang, Yuan Li