许柏炎(Boyan Xu)
实验师
所属学院：计算机学院
导师类别：硕士生导师
科研方向：Large Language Models、Text-to-SQL、Causality for NLP、Sentiment Analysis、Information Extraction
个人简述：
许柏炎，2020年于广东工业大学获得工学博士学位，同年7月在广东工业大学做博士后研究员，2022年7月进入广东工业大学工作。曾到UIUC新加坡高等数字科学研究中心访问学习。
许柏炎专注于大语言模型、语义解析和因果性学习的理论与应用研究，主持国家自然科学基金1项，参与国家自然科学基金项目2项。针对面向自然语言处理下结构化建模系列理论与应用工作在NeurIPS、IJCAI、ACL、NAACL、COLING等国际会议上发表论文。针对大模型可信性问题，研究推出外部知识库扩展大模型Chat2DB项目。联合琶洲实验室，大数据与决策（国家级）实验室举办《基于大语言模型的数据库查询指令生成》挑战赛，任出题与评审专家。担任ICLR、NeurIPS、、AAAI、ACL等会议审稿人。
个人主页：
https://boyanxu1.github.io/
主要论文(†, 通讯作者)：
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)
