所在单位:计算机与通信工程学院
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联系方式:bwxing714 AT gmail DOT com \\ 英文主页:https://xingbowen714.github.io/
邢博文, 1995年生,中共党员,博士,副教授,硕士生导师,中国计算机学会会员,自然语言处理专委会委员,人工智能与模式识别专委会委员。 分别于2017和2020年在北京理工大学获得计算机科学与技术学士和硕士学位。2024 年 2 月从悉尼科技大学澳大利亚人工智能研究所获得博士学位,师从人工智能领域国际知名学者 Ivor W. Tsang 教授 (IEEE Fellow,前澳大利亚人工智能研究所科研主任,现任新加坡科技局前沿人工智能研究中心主任,南洋理工大学兼职教授)。2024 年 3 月,作为引进人才入职北京科技大学计算机与通信工程学院。曾获得国家优秀自费留学生奖学金、研究生国家奖学金和悉尼科技大学ARC Discovery全额奖学金等奖励和荣誉。 长期从事人工智能和自然语言处理领域的前沿研究工作,尤其关注基于大语言模型的异质语言信息处理及其在垂直领域的应用。常年担任ACL Roling Review、ICML、AAAI、IJCAI、IEEE TNNLS、IEEE TASLP等会议和期刊的程序委员和审稿人。参与国家重点研发计划“中医药现代化”重点专项“广义望诊多维信息采集与智能处理技术的数智中医诊疗研究”。 近五年以第一作者在 IEEE TPAMI、ACL、EMNLP 等人工智能和自然语言处理领域的顶级期刊和会议上发表了多篇高水平论文,其中十篇代表作列举如下(包含 CCF/清华 A 类 8 篇,CCF B 类 2 篇):
[1] Bowen Xing and Ivor W. Tsang. HC2L: Hybrid and Cooperative Contrastive Learning for Cross-lingual Spoken Language Understanding. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2024, vol. 46, no. 12, pp. 8094-8105. (CCF A 类期刊,中科院一区顶刊,人工智能领域顶刊,影响因子: 23.6)
[2] Bowen Xing and Ivor W. Tsang. Co-Guiding for Multi-Intent Spoken Language Understanding. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2024, vol. 46, no. 5, pp. 2965-2980. (CCF A 类期刊,中科院一区顶刊,人工智能领域顶刊,影响因子: 23.6)
[3] Bowen Xing and Ivor W. Tsang. Relational Temporal Graph Reasoning for Dual-task Dialogue Language Understanding. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023, vol. 45, no. 11, pp. 13170-13184. (CCF A 类期刊,中科院一区顶刊,人工智能领域顶刊,影响因子: 23.6)
[4] Bowen Xing and Ivor W. Tsang. DARER: Dual-task Temporal Relational Recurrent Reasoning Network for Joint Dialog Sentiment Classification and Act Recognition. In Findings of the Association for Computational Linguistics: ACL 2022, pp. 3611–3621. (CCF A 类会议,自然言处理领域顶会)
[5] Bowen Xing, Lizi Liao, Minlie Huang and Ivor Tsang. DC-Instruct: An Effective Framework for Generative Multi-intent Spoken Language Understanding. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024). (CCF B/清华 A 类会议,自然语言处理领域顶会)
[6] Bowen Xing and Ivor W. Tsang. Co-guiding Net: Achieving Mutual Guidances between Multiple Intent Detection and Slot Filling via Heterogeneous Semantics-Label Graphs. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), pp. 159–169. (CCF B/清华 A 类会议,自然语言处理领域顶会)
[7] Bowen Xing and Ivor W. Tsang. Group is better than individual: Exploiting Label Topologies and Label Relations for Joint Multiple Intent Detection and Slot Filling. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), pp. 3964–3975. (CCF B/清华 A 类会议,自然语言处理领域顶会)
[8] Bowen Xing and Ivor W. Tsang. Neural Subgraph Explorer: Reducing Noisy Information via Target-Oriented Syntax Graph Pruning. In Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (IJCAI 2022), pp. 4425–4431. (CCF A 类会议,人工智能领域顶会)
[9] Bowen Xing, Lejian Liao, Dandan Song, Jingang Wang, Fuzheng Zhang, Zhongyuan Wang and Heyan Huang. Earlier Attention? Aspect-Aware LSTM for Aspect-Based Aentiment Analysis. In Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence (IJCAI 2019), pp. 5313-5319. (CCF A 类会议,人工智能领域顶会)
[10] Bowen Xing and Ivor W. Tsang. Exploiting Contextual Target Attributes for Target Sentiment Classification. Journal of Artificial Intelligence Research (JAIR), 2024, 80, pp. 419-439 (CCF B 类期刊,人工智能领域顶刊).