---

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

• RTE-GMoE: A Model-agnostic Approach for Relation Triplet Extraction via Graph-based Mixture-of-Expert Mutual Learning.
  Aziguli Wulamu, Kaiyuan Gong, Lyu Zhengyu, Yu Han, Zhihong Zhu and Bowen Xing^*
  In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025) .

• HTML: Hierarchical Topology Multi-task Learning for Semantic Parsing in Knowledge Base Question Answering.
  Aziguli Wulamu, Lyu Zhengyu, Kaiyuan Gong, Yu Han, Zewen Wang, Zhihong Zhu and Bowen Xing^*.
  In Proceedings of the 63th Annual Meeting of the Association for Computational Linguistics (ACL 2025) [Findings].

• DC-Instruct: An Effective Framework for Generative Multi-intent Spoken Language Understanding.
  Bowen Xing^*, Lizi Liao, Minlie Huang and Ivor W. Tsang.
  In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024) .

• 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

• Sentence-level Relation Semantics Learning via Contrastive Sentences .
  Bowen Xing^* and Ivor W. Tsang.
  In IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2025 .

• DXA-Net: Dual-task Cross-lingual Alignment Network for Zero-shot Cross-lingual Spoken Language Understanding.
  Bowen Xing, Libo Qin, Zhou Yu and Ivor W. Tsang.
  In IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2025.

• DigNet: Digging Clues from Local-Global Interactive Graph for Aspect-level Sentiment Classification.
  Bowen Xing^* and Ivor W. Tsang.
  In IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2025.

• HC²L: Hybrid and Cooperative Contrastive Learning for Cross-lingual Spoken Language Understanding .
  Bowen Xing^* and Ivor W. Tsang.
  In IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2024 .

• Exploiting Contextual Target Attributes for Target Sentiment Classification.
  Bowen Xing^* and Ivor W. Tsang.
  In Journal of Artificial Intelligence Research (JAIR), 2024 .

• Co-guiding for Multi-intent Spoken Language Understanding .
  Bowen Xing^* and Ivor W. Tsang.
  In IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2023 .

• Relational Temporal Graph Reasoning for Dual-task Dialogue Language Understanding
  Bowen Xing^* and Ivor W. Tsang.
  In IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2023 .

• Out of Context: A New Clue for Context Modeling of Aspect-based Sentiment Analysis.
  Bowen Xing^* and Ivor W. Tsang.
  In Journal of Artificial Intelligence Research (JAIR), 2022 .

• Understand me, if you refer to Aspect Knowledge: Knowledge-aware Gated Recurrent Memory Network.
  Bowen Xing^* and Ivor W. Tsang.
  In IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI), 2022 .

---

Professional Service

• Conference Reviewer/PC Member:

• ACL, ICML, NeurIPS, EMNLP, AAAI, etc.

• Journal Reviewer:

• TNNLS, TASLP, KAIS, etc.