From 0139b39b887e7d8bdec5bb61e2923d1174950905 Mon Sep 17 00:00:00 2001 From: Xuan Wang Date: Fri, 20 Sep 2024 11:55:05 -0400 Subject: [PATCH] Update publications.md --- _pages/publications.md | 21 +++++++++++---------- 1 file changed, 11 insertions(+), 10 deletions(-) diff --git a/_pages/publications.md b/_pages/publications.md index 8df3e778adcbc..0d421c1d8c249 100644 --- a/_pages/publications.md +++ b/_pages/publications.md @@ -8,16 +8,17 @@ author_profile: true {% include base_path %} ## 2024 -1. Meng Lu, Ho Brandon, Ren Dennis, and **Xuan Wang**, “TriageAgent: Towards Better Multi-Agents Collaborations for Large Language Model-Based Clinical Triage”, The Forty-first International Conference on Machine Learning AI for Science Workshop (**ICML'24 AI4Science**), July 26 or 27, 2024, Vienna, Austria (Spotlight, acceptance rate: 13%) -2. Hanwen Liu, Daniel Hajialigol, Benny Antony, Aiguo Han, and **Xuan Wang**, “EEG2Text: Open Vocabulary EEG-to-Text Decoding with EEG Pre-Training and Multi-View Transformer”, The Forty-first International Conference on Machine Learning AI for Science Workshop (**ICML'24 AI4Science**), July 26 or 27, 2024, Vienna, Austria (Poster, acceptance rate: 70%) -3. Sindhura Kommu, Yizhi Wang, Yue Wang, and **Xuan Wang**, “Gene Regulatory Network Inference from Pre-trained Single-Cell Transcriptomics Transformer with Joint Graph Learning”, The Forty-first International Conference on Machine Learning AI for Science Workshop (**ICML'24 AI4Science**), July 26 or 27, 2024, Vienna, Austria (Poster, acceptance rate: 70%) -4. Sajib Acharjee Dip, Uddip Acharjee Shuvo, Tran Chau, Haoqiu Song, Petra Choi, **Xuan Wang**, and Liqing Zhang, “PathoLM: Identifying pathogenicity from the DNA sequence through the Genome Foundation Model”, The Forty-first International Conference on Machine Learning AI for Science Workshop (**ICML’24 AI4Science**), July 26 or 27, 2024, Vienna, Austria (Poster, acceptance rate: 70%) -5. Brandon Ho, Meng Lu, **Xuan Wang**, and Dennis Ren, "Evaluation of AI Models in Predicting Pediatric Emergency Severity Index Levels", 2024 AAP National Conference & Exhibition (Abstract Poster), September 27 – October 1, 2024, Orlando, Florida -6. Tanay Komarlu, Minhao Jiang, **Xuan Wang**, and Jiawei Han, “OntoType: Ontology-Guided and Pre-Trained Language Model Assisted Fine-Grained Entity Typing”, in Proc. 2024 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (**KDD'24**), pages TBD, August 25–29, 2024, Barcelona, Spain (acceptance rate: TBD%) -7. Chufan Gao, **Xuan Wang**, and Jimeng Sun, “TTM-RE: Memory-Augmented Document-Level Relation Extraction”, in Proc. The 62nd Annual Meeting of the Association for Computational Linguistics (**ACL'24**), pages TBD, August 11–16, 2024, Bangkok, Thailand (acceptance rate: TBD%) -8. Chufan Gao, Xulin Fan, Jimeng Sun, and **Xuan Wang**, “PromptRE: Weakly-Supervised Document-Level Relation Extraction via Prompting-Based Data Programming”, in Proc. The 62nd Annual Meeting of the Association for Computational Linguistics (**ACL'24 KnowledgeLM**), August 11–16, 2024, Bangkok, Thailand -9. Zhenyu Bi, Minghao Xu, Jian Tang, and **Xuan Wang**, “AI for Science in the Era of Large Language Models”, in Proc. 2024 Annual Meeting of the Association for Computational Linguistics (**ACL’24**) (Conference Tutorial), pages TBD, August 11-16, 2024, Bangkok, Thailand -10. Yueyan Gu, **Xuan Wang**, and Farrokh Jazizadeh, “Are Transformers Effective for Time Series Anomaly Detection? – A Case Study in Building Energy Management”, in Proc. 2024 ASCE International Conference on Computing in Civil Engineering (**i3CE'24**), pages TBD, July 28-31, 2024, Pittsburgh, Pennsylvania +1. 1. Meng Lu, Ho Brandon, Ren Dennis, and **Xuan Wang**, “TriageAgent: Towards Better Multi-Agents Collaborations for Large Language Model-Based Clinical Triage”, in Proc. 2024 Conf. on Findings of Empirical Methods in Natural Language Processing (**EMNLP’24**), pages TBD, November 12-16, 2024, Miami, Florida (Spotlight, acceptance rate: TBD%) +2. Meng Lu, Ho Brandon, Ren Dennis, and **Xuan Wang**, “TriageAgent: Towards Better Multi-Agents Collaborations for Large Language Model-Based Clinical Triage”, The Forty-first International Conference on Machine Learning AI for Science Workshop (**ICML'24 AI4Science**), July 26 or 27, 2024, Vienna, Austria (Spotlight, acceptance rate: 13%) +3. Hanwen Liu, Daniel Hajialigol, Benny Antony, Aiguo Han, and **Xuan Wang**, “EEG2Text: Open Vocabulary EEG-to-Text Decoding with EEG Pre-Training and Multi-View Transformer”, The Forty-first International Conference on Machine Learning AI for Science Workshop (**ICML'24 AI4Science**), July 26 or 27, 2024, Vienna, Austria (Poster, acceptance rate: 70%) +4. Sindhura Kommu, Yizhi Wang, Yue Wang, and **Xuan Wang**, “Gene Regulatory Network Inference from Pre-trained Single-Cell Transcriptomics Transformer with Joint Graph Learning”, The Forty-first International Conference on Machine Learning AI for Science Workshop (**ICML'24 AI4Science**), July 26 or 27, 2024, Vienna, Austria (Poster, acceptance rate: 70%) +5. Sajib Acharjee Dip, Uddip Acharjee Shuvo, Tran Chau, Haoqiu Song, Petra Choi, **Xuan Wang**, and Liqing Zhang, “PathoLM: Identifying pathogenicity from the DNA sequence through the Genome Foundation Model”, The Forty-first International Conference on Machine Learning AI for Science Workshop (**ICML’24 AI4Science**), July 26 or 27, 2024, Vienna, Austria (Poster, acceptance rate: 70%) +6. Brandon Ho, Meng Lu, **Xuan Wang**, and Dennis Ren, "Evaluation of AI Models in Predicting Pediatric Emergency Severity Index Levels", 2024 AAP National Conference & Exhibition (Abstract Poster), September 27 – October 1, 2024, Orlando, Florida +7. Tanay Komarlu, Minhao Jiang, **Xuan Wang**, and Jiawei Han, “OntoType: Ontology-Guided and Pre-Trained Language Model Assisted Fine-Grained Entity Typing”, in Proc. 2024 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (**KDD'24**), pages TBD, August 25–29, 2024, Barcelona, Spain (acceptance rate: TBD%) +8. Chufan Gao, **Xuan Wang**, and Jimeng Sun, “TTM-RE: Memory-Augmented Document-Level Relation Extraction”, in Proc. The 62nd Annual Meeting of the Association for Computational Linguistics (**ACL'24**), pages TBD, August 11–16, 2024, Bangkok, Thailand (acceptance rate: TBD%) +9. Chufan Gao, Xulin Fan, Jimeng Sun, and **Xuan Wang**, “PromptRE: Weakly-Supervised Document-Level Relation Extraction via Prompting-Based Data Programming”, in Proc. The 62nd Annual Meeting of the Association for Computational Linguistics (**ACL'24 KnowledgeLM**), August 11–16, 2024, Bangkok, Thailand +10. Zhenyu Bi, Minghao Xu, Jian Tang, and **Xuan Wang**, “AI for Science in the Era of Large Language Models”, in Proc. 2024 Annual Meeting of the Association for Computational Linguistics (**ACL’24**) (Conference Tutorial), pages TBD, August 11-16, 2024, Bangkok, Thailand +11. Yueyan Gu, **Xuan Wang**, and Farrokh Jazizadeh, “Are Transformers Effective for Time Series Anomaly Detection? – A Case Study in Building Energy Management”, in Proc. 2024 ASCE International Conference on Computing in Civil Engineering (**i3CE'24**), pages TBD, July 28-31, 2024, Pittsburgh, Pennsylvania ## 2023