許柏炎(Boyan Xu)
實驗師
所屬學院：太阳成集团tyc234cc
導師類别：碩士生導師
科研方向：Large Language Models、Text-to-SQL、Causality for NLP、Sentiment Analysis、Information Extraction
個人簡述：
許柏炎，2020年于太阳成集团tyc234cc獲得工學博士學位，同年7月在太阳成集团tyc234cc做博士後研究員，2022年7月進入太阳成集团tyc234cc工作。曾到UIUC新加坡高等數字科學研究中心訪問學習。
許柏炎專注于大語言模型、語義解析和因果性學習的理論與應用研究，主持國家自然科學基金1項，參與國家自然科學基金項目2項。針對面向自然語言處理下結構化建模系列理論與應用工作在NeurIPS、IJCAI、ACL、NAACL、COLING等國際會議上發表論文。針對大模型可信性問題，研究推出外部知識庫擴展大模型Chat2DB項目。聯合琶洲實驗室，大數據與決策（國家級）實驗室舉辦《基于大語言模型的數據庫查詢指令生成》挑戰賽，任出題與評審專家。擔任ICLR、NeurIPS、、AAAI、ACL等會議審稿人。
個人主頁：
https://boyanxu1.github.io/
主要論文(†, 通訊作者)：
1. Handling Missing Entities in Zero-Shot Named Entity Recognition: Integrated Recall and Retrieval Augmentation, Ruichu Cai, Junhao Lu, Zhongjie Chen, Boyan Xu†, Zhifeng Hao (NAACL Main)
2. Track-SQL: Enhancing Generative Language Models with Dual-Extractive Modules for Schema and Context Tracking in Multi-turn Text-to-SQL, Bingfeng chen, Shaobin Shi, yongqi luo, Boyan Xu†, Ruichu Cai, Zhifeng Hao (NAACL Main)
3. S^2IT: Stepwise Syntax Integration Tuning for Large Language Models in Aspect Sentiment Quad Prediction, Bingfeng chen, Chenjie Qiu, Yifeng Xie, Boyan Xu†, Ruichu Cai, Zhifeng Hao (NAACL Findings)
4. Chat2DB: Chatting to the Database with Interactive Agent Assisted Language Models，Boyan Xu*, Yuyuan Cai*, Shaobin Shi, Zhifeng Hao, Ruichu Cai (ICDE 2025 Demo)
5. TP-UNet: Temporal Prompt Guided UNet for Medical Image Segmentation, Ranmin Wang, Limin Zhuang, Hongkun Chen, Boyan Xu†, Ruichu Cai (Preprint)
6. Dr.ECI: Infusing Large Language Models with Causal Knowledge for Decomposed Reasoning in Event Causality Identification, Ruichu Cai, Shengyin Yu, Jiahao Zhang, Wei Chen, Boyan Xu†, Keli Zhang (COLING 2025)
7. CACA: Context-Aware Cross-Attention Network for Extractive Aspect Sentiment Quad Prediction, Bingfeng Chen, Haoran Xu, Yongqi Luo, Boyan Xu†, Ruichu Cai, Zhifeng Hao (COLING 2025)
8. SDGNN: Structure-aware Dual Graph Neural Network for Code Summarization, Zhifeng Hao, Zonghao Lin, Shengqiang Zhang, Boyan Xu†, Ruichu Cai (JMLC)
9. S^2GSL: Incorporating Segment to Syntactic Enhanced Graph Structure Learning for Aspect-based Sentiment Analysis, Bingfeng Chen, Qihan Ouyang, Yongqi Luo, Boyan Xu†, Ruichu Cai, Zhifeng Hao (ACL 2024 Main)
10. From Large to Tiny: Distilling and Refining Mathematical Expertise for Math Word Problems with Weakly Supervision, Qingwen Lin, Boyan Xu, Zhengting Huang, Ruichu Cai (ICIC 2024)
11. SADGA: Structure-aware dual graph aggregation network for text-to-sql, Ruichu Cai, Jinjie Yuan, Boyan Xu†, Zhifeng Hao (NeurIPS 2021)
12. Causal mechanism transfer network for time series domain adaptation in mechanical systems, Zijian Li, Ruichu Cai, Hong Wei Ng, Marianne Winslett, Tom ZJ Fu, Boyan Xu, Xiaoyan Yang, Zhenjie Zhang (TIST)
13. Semi-supervised disentangled framework for transferable named entity recognition, Zhifeng Hao, Di Lv, Zijian Li, Ruichu Cai, Wen Wen, Boyan Xu (Neural Networks)
14. Meta Multi-Task Learning for Speech Emotion Recognition, Ruichu Cai, Kaibin Guo, Boyan Xu†, Xiaoyan Yang, Zhenjie Zhang (Interspeech 2020)
15. TAG: Type auxiliary guiding for code comment generation, Ruichu Cai, Zhihao Liang, Boyan Xu†, Zijian Li, Yuixing Hao, Yao Chen (ACL 2020)
16. Disentanglement Challenge: From Regularization to Reconstruction, Jie Qiao *, Zijian Li *, Boyan Xu *, Ruichu Cai, Kun Zhang, NeurIPS 2019 Workshop Disentanglement Challenge
17. An encoder-decoder framework translating natural language to database queries, Ruichu Cai, Boyan Xu, Xiaoyan Yang, Zhenjie Zhang, Zijian Li, Zhihao Liang (IJCAI 2018)
18. Data driven chiller plant energy optimization with domain knowledge, Hoang Dung Vu, Kok Soon Chai, Bryan Keating, Nurislam Tursynbek, Boyan Xu, Kaige Yang, Xiaoyan Yang, Zhenjie Zhang (CIKM 2017)
