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## 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 <span style="color:red">(Spotlight, acceptance rate: 13%)</span>
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 <span style="color:red">(Poster, acceptance rate: 70%)</span>
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 <span style="color:red">(Poster, acceptance rate: 70%)</span>
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 <span style="color:red">(Poster, acceptance rate: 70%)</span>
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 <span style="color:red">(acceptance rate: TBD%)</span>
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 <span style="color:red">(acceptance rate: TBD%)</span>
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 <span style="color:red">(Spotlight, acceptance rate: TBD%)</span>
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 <span style="color:red">(Spotlight, acceptance rate: 13%)</span>
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 <span style="color:red">(Poster, acceptance rate: 70%)</span>
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 <span style="color:red">(Poster, acceptance rate: 70%)</span>
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 <span style="color:red">(Poster, acceptance rate: 70%)</span>
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 <span style="color:red">(acceptance rate: TBD%)</span>
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 <span style="color:red">(acceptance rate: TBD%)</span>
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
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