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Bowen Xing
Associate Professor
School of Computer and Communication Engineering, University of Science and Technology Beijing (USTB)
E-mail: bwxing714 [at] gmail.com ; xingbowen@ustb.edu.cn
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Brief Biography
Since March 2024, I have been an Associate Professor at School of Computer and Communication Engineering, University of Science and Technology Beijing (USTB).
I obtained my Ph.D. degree from Australian Artificial Intelligence Institute (AAII), University of Technology Sydney (UTS) in February 2024,
honorly supervised by Prof. Ivor W. Tsang (IEEE Fellow, Director of A*STAR CFAR, previous Research Director of AAII).
From August 2022 to February 2024, I visited Centre for Frontier Artificial Intelligence Research (CFAR), A*STAR, Singapore, working as Prof. Tsang's research assistant.
I got my B.Eng degree and M.Eng degree in Computer Science and Technology from Beijing Institute of Technology in 2017 and 2020, respectively.
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My Research
My research focuses on natural language processing, such as dialog systems, sentiment analysis, information extraction and so on. I'm especially interested in exploiting multi-task learning frameworks and graph structures/networks.
Publications
(# denotes equal contribution, * denotes corresponding author)
Conference Papers
InMu-Net: Advancing Multi-modal Intent Detection via Information Bottleneck and Multi-sensory Processing. Zhihong Zhu, Xuxin Cheng, Zhaorun Chen, Yuyan Chen, Yunyan Zhang, Xian Wu, Yefeng Zheng and Bowen Xing. In ACM Multimedia 2024 .
Low-Hanging Fruit: Knowledge Distillation from Noisy Teachers for Open Domain Spoken Language Understanding. Cheng Chen, Bowen Xing and Ivor W. Tsang. In Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2024) .
MTKDN: Multi-Task Knowledge Disentanglement Network for Recommendation. Haotian Wu#, Bowen Xing#* and Ivor W. Tsang. In Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (CIKM 2023) [short paper].
Co-evolving Graph Reasoning Network for Emotion-Cause Pair Extraction. Bowen Xing* and Ivor W. Tsang. In Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2023) [Oral] .
Co-guiding Net: Modeling Mutual Guidances between Multiple Intent Detection and Slot Filling via Heterogenous Semantics-Label Graphs. Bowen Xing* and Ivor W. Tsang. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022) [Oral].
Group is better than individual: Exploiting Label Topologies and Label Relations for Joint Multiple Intent Detection and Slot Filling. Bowen Xing* and Ivor W. Tsang. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022) .
Neural Subgraph Explorer: Reducing Noisy Information via Target-oriented Syntax Graph Pruning. Bowen Xing* and Ivor W. Tsang. In Proceedings of the 31st International Joint Conference on Artificial Intelligence (IJCAI 2022) [Oral].
DARER: Dual-task Temporal Relational Recurrent Reasoning Network for Joint Dialog Sentiment Classification and Act Recognition. Bowen Xing* and Ivor W. Tsang. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022) [Findings].
Earlier Attention? Aspect-Aware LSTM for Aspect-Based Sentiment Analysis. Bowen Xing, Lejian Liao, Dandan Song, Jingang Wang, Fuzheng Zhang, Zhongyuan Wang and Heyan Huang. In Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019) [Oral].
Journal Papers
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