徐博，工学博士，计算机科学与技术学院副教授，硕士生导师，中国中文信息学会情感计算专委会委员，医疗健康与生物信息处理专业委员会委员，自然语言生成与智能写作专委会委员，所在团队是大连理工大学信息检索研究室（DUTIR, http://ir.dlut.edu.cn/），获2023年辽宁省优秀研究生导师团队。本人长期从事自然语言处理和信息检索领域研究，研究方向包括医疗人机对话、心理健康计算和推荐系统等。发表CCF-A/B类论文30余篇，成果发表于SIGIR、ACL、CIKM、COLING、TCBB、JASIST和《计算机学报》等，担任ACL、SIGIR、AAAI等会议程序委员，获多项授权专利和软件著作权；获辽宁省自然科学学术成果奖一等奖；主持国家自然科学基金青年项目，教育部人文社会科学基金一般项目等省部级以上项目，主持科大讯飞认知智能国家重点实验室开放课题、腾讯犀牛鸟创意基金、美柚研究院等企业合作项目，参与团队牵头的多项国家级项目。

欢迎有志于投身自然语言处理、信息检索，人机对话和情感计算等研究领域的同学加入到我们的科研队伍。

主持科研项目： 

-中国航发哈尔滨东安发动机有限公司，机匣车间调度算法优化，2023-2024.

-国家重点研发计划子课题，面向法律监督的多源异构数据分析挖掘关键技术，2022-2025.

-美柚研究院合作项目，面向女性用户的泛用智能对话语料集构建及对话系统研究，2023-2024.

-辽宁省社科规划基金项目，基于多源信息和行为图谱的短视频平台用户情绪画像研究，2021-2023.

-国家自然科学基金青年科学基金项目，融合领域知识的个性化医疗对话关键技术研究，2021-2023.

-辽宁省自然科学基金博士启动项目，基于用户意图挖掘的深度医疗文本匹配模型研究, 2021-2023. 

-计算机软件新技术国家重点实验室(南京大学)开放课题, 面向心理健康的人机对话技术研究, 2021-2023.

-CCF-腾讯犀牛鸟基金创新基金, 融合心理特征的医疗对话生成技术研究, 2021-2022.

-认知智能重点实验室（科大讯飞）开放基金，基于用户画像和知识图谱的智能医疗问答研究，2019-2022.

-教育部人文社会科学项目，面向“一带一路”的国际媒体舆论倾向性研究, 2019-2022. 

-中国博士后基金面上项目，面向查询理解的生物医学文献检索研究, 2018-2020.

代表性论著： 

2024

-Xiaokun Zhang, Bo Xu, Zhaochun Ren, Xiaochen Wang, Hongfei Lin and Fenglong Ma. Disentangling ID and Modality Effects for Session-based Recommendation, SIGIR 2024, accepted, 2024, (CCF-A)

-Xiaokun Zhang, Bo Xu, Youlin Wu, Yuan Zhong, Hongfei Lin and Fenglong Ma. FineRec: Exploring Fine-grained Sequential Recommendation, SIGIR 2024, accepted, 2024, (CCF-A)

-Xiaokun Zhang, Bo Xu, Fenglong Ma, Chenliang Li, Liang Yang, Hongfei Lin. Beyond Co-occurrence: Multi-modal Session-based Recommendation. IEEE Transactions on Knowledge and Data Engineering (TKDE), 36(4): 1450-1462, 2024. (CCF-A)

-Junyu Lu, Bo Xu, Xiaokun Zhang, Kaiyuan Liu, Dongyu Zhang, Liang Yang and Hongfei Lin, Take its Essence, Discard its Dross! Debiasing for Toxic Language Detection via Counterfactual Causal Effect, LREC-COLING 2024, accepted. (CCF-B)

-Xinyue Liu, Jianan Zhang, Chi Ma, Wenxin Liang, Bo Xu and Linlin Zong. Temporal Knowledge Graph Reasoning with Dynamic Hypergraph Embedding, LREC-COLING 2024, accepted. (CCF-B)

-Linlin Zong, Zhenrong Xie, Chi Ma, Xinyue Liu, Xianchao Zhang and Bo Xu. RENN: A Rule Embedding Enhanced Neural Network Framework for Temporal Knowledge Graph Completion, LREC-COLING 2024, accepted. (CCF-B)

-Linlin Zong, Jiahui Wan, Xianchao Zhang, Xinyue Liu, Wenxin Liang, Bo Xu. Video-Language Aligned Transformer for Video Question Answering. AAAI 2024, 19795-19803

(CCF-A)

-Linlin Zong, Faqiang Miao, Xianchao Zhang, Wenxin Liang, Bo Xu, Self-Supervised Deep Multiview Spectral Clustering, IEEE Transactions on Neural Networks and Learning Systems, 35(3): 4299-4308, 2024. (CCF-B)

2023

-Xiaokun Zhang, Bo Xu, Fenglong Ma, Chenliang Li, Yuan Lin, Hongfei Lin. Bi-Preference Learning Heterogeneous Hypergraph Networks for Session-based Recommendation. ACM Transactions on Information Systems (TOIS), 42(3), 1-28 , 2023. (CCF-A)

-Bo Zhang, Jian Wang, Hui Ma, Bo Xu, Hongfei Lin. ZRIGF: An Innovative Multimodal Framework for Zero-Resource Image-Grounded Dialogue Generation. Proceedings of the 31st ACM International Conference on Multimedia, MM'23, 2023:5464–5473. (CCF-A)

-Junyu Lu, Bo Xu, Xiaokun Zhang, Changrong Min, Liang Yang and Hongfei Lin. Facilitating Fine-grained Detection of Chinese Toxic Language: Hierarchical Taxonomy, Resources, and Benchmarks, ACL 2023, 16235-16250. (CCF-A)

-Changrong Min, Ximing Li, Liang Yang, Zhilin Wang, Bo Xu and Hongfei Lin. Just Like a Human Would, Direct Access to Sarcasm Augmented with Potential Result and Reaction, ACL 2023, 10172-10183. (CCF-A)

-宗林林, 周佳慧, 谢秋捷, 张宪超, 徐博. 基于超图的多模态情绪识别, 计算机学报, 2023, 46 (12): 2520-2534. (CCF-A)

-Junyu Lu, Hongfei Lin, Xiaokun Zhang, Linlin Zong, Fenglong Ma, Bo Xu. Hate Speech Detection via Dual Contrastive Learning, IEEE Transactions on Audio, Speech and Language Processing, 2023, 31: 2787-2795. (CCF-B)

-Yunzhi Qiu, Xiaokun Zhang, Weiwei Wang, Youlin Wu, Bo Xu, Haifeng Liu, Hongfei Lin. SEDGCN: Sentiment Enhanced Dual Graph Convolutional Networks for Detecting Adverse Drug Reactions. BIBM 2023: 2183-2186. (CCF-B)

-Linlin Zong, Jian Zheng, Xianchao Zhang, Xinyue Liu, Wenxin Liang, Bo Xu. An Early Depression Detection Model on Social Media using Emotional and Causal Features. BIBM 2023: 4856-4858. (CCF-B)

-Hui Ma, Jian Wang, Hongfei Lin, Bo Zhang, Yijia Zhang, Bo Xu. A Transformer-Based Model With Self-Distillation for Multimodal Emotion Recognition in Conversations, IEEE Transactions on Multimedia, 2023, accepted. (CCF-B)

2022

-Bo Xu, Hongtong Zhang, Jian Wang, Xiaokun Zhang, Dezhi Hao, Linlin Zong, Hongfei Lin, Fenglong Ma. RealMedDial: A real telemedical dialogue dataset collected from online Chinese short-video clips. Proceedings of the 29th International Conference on Computational Linguistics, COLING 2022: 3342-3352. (CCF-B)

-Xiaokun Zhang, Bo Xu, Liang Yang, Chenliang Li, Fenglong Ma, Haifeng Liu, Hongfei Lin. Price DOES Matter!: Modeling price and interest preferences in session-based recommendation. The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2022: 1684-1693. (CCF-A)

-Xiaokun Zhang, Hongfei Lin, Bo Xu, Chenliang Li, Yuan Lin, Haifeng Liu, Fenglong Ma. Dynamic intent-aware iterative denoising network for session-based recommendation. Information Processing & Management, 2022, 59(3): 102936. (CCF-B)

-Bo Zhang, Jian Wang, Hongfei Lin, Bo Xu, Exploiting Pairwise Mutual Information for Knowledge-Grounded Dialogue. IEEE/ACM Transactions on Audio Speech and Language Processing, 2022, 30, 2231-2240. (CCF-B)

-胡旭阳,王治政,孙媛媛,徐博,林鸿飞. 融合语义解析的知识图谱表示方法[J].计算机研究与发展,2022,59(12):2878-2888. (CCF-A)

2021

-Yuan Lin, Zhang Xie, Bo Xu, Kan Xu, Hongfei Lin:Info-flow Enhanced GANs for Recommender. Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2021: 1703-1707. (CCF-A)

-Linlin Zong, Qiujie Xie, Jiahui Zhou, Peiran Wu, Xianchao Zhang, Bo Xu. FedCMR: Federated cross-modal retrieval. Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2021: 1672-1676. (CCF-A)

-Changrong Min, Yonghe Chu, Liang Yang, Bo Xu, Hongfei Lin. Locality preserving sentence encoding. Findings of the Association for Computational Linguistics: EMNLP (Findings) 2021: 3050-3060. (CCF-B)

-Bo Xu, Hongfei Lin, Yuan Lin, Kan Xu. Two-stage supervised ranking for emotion cause extraction. Knowlege Based Systems, 2021, 228: 107225.

-徐博, 面向互联网的智能信息检索技术研究, 科学出版社, 2021年, 32万字，学术专著.

2021之前

-Linlin Zong, Faqiang Miao, Xianchao Zhang, Bo Xu. Multimodal clustering via deep commonness and uniqueness mining. The 29th ACM International Conference on Information and Knowledge Management, CIKM 2020: 2357-2360. (CCF-B)

-Haifeng Liu, Hongfei Lin, Chen Shen, Liang Yang, Yuan Lin, Bo Xu, Zhihao Yang, Jian Wang, Yuanyuan Sun. Drug Repositioning for SARS-CoV-2 Based on Graph Neural Network. IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2020: 319-322. (CCF-B)

-Tongxuan Zhang, Hongfei Lin, Bo Xu, Yuqi Ren, Zhihao Yang, Jian Wang, Xiaodong Duan. Gated iterative capsule network for adverse drug reaction detection from social media. IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2020: 387-390. (CCF-B)

-徐博,林鸿飞,林原,许侃.一种融合语义资源的生物医学查询理解方法[J].计算机学报,2019,42(10):2160-2174. (CCF-A)

-Bo Xu, Hongfei Lin, Yuan Lin. Learning to refine expansion terms for biomedical information retrieval using semantic resources. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2019, 16(3): 954-966. (CCF-B)

-Bo Xu, Hongfei Lin, Yuan Lin, Yunlong Ma, Liang Yang, Jian Wang, Zhihao Yang. Improve biomedical information retrieval using modified learning to rank methods. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2018, 15(6): 1797-1809. (CCF-B)

-Bo Xu, Hongfei Lin, Liang Yang, Kan Xu, Yijia Zhang, Dongyu Zhang, Zhihao Yang, Jian Wang, Yuan Lin, Fuliang Yin, Improve diversity-oriented biomedical information retrieval using supervised query expansion. IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018: 556-559. (CCF-B)

-Bo Xu, Hongfei Lin, Yuan Lin, Kan Xu. Learning to rank with query-level semi-supervised autoencoders. The 26th ACM International Conference on Information and Knowledge Management, CIKM 2017: 2395-2398. (CCF-B)

-Bo Xu, Hongfei Lin, Yuan Lin. Assessment of learning to rank methods for query expansion. Journal of the Association for Information Science and Technology (JASIST), 2016, 67(6): 1345-1357. (CCF-B)

-Bo Xu, Hongfei Lin, Yuan Lin, Yunlong Ma, Liang Yang, Jian Wang, Zhihao Yang. Learning to rank for biomedical information retrieval. IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2015: 464-469. (CCF-B)