Xuxin Cheng
Orcid: 0009-0002-6244-2931
According to our database1,
Xuxin Cheng
authored at least 35 papers
between 2019 and 2024.
Collaborative distances:
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Bibliography
2024
Dance with Labels: Dual-Heterogeneous Label Graph Interaction for Multi-intent Spoken Language Understanding.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024
Towards Explainable Joint Models via Information Theory for Multiple Intent Detection and Slot Filling.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Aligner²: Enhancing Joint Multiple Intent Detection and Slot Filling via Adjustive and Forced Cross-Task Alignment.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Embracing Language Inclusivity and Diversity in CLIP through Continual Language Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Towards Multi-Intent Spoken Language Understanding via Hierarchical Attention and Optimal Transport.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Unify, Align and Refine: Multi-Level Semantic Alignment for Radiology Report Generation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
A Dynamic Graph Interactive Framework with Label-Semantic Injection for Spoken Language Understanding.
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Enhancing Code-Switching for Cross-lingual SLU: A Unified View of Semantic and Grammatical Coherence.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
MCLF: A Multi-grained Contrastive Learning Framework for ASR-robust Spoken Language Understanding.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Accelerating Multiple Intent Detection and Slot Filling via Targeted Knowledge Distillation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
MRRL: Modifying the Reference via Reinforcement Learning for Non-Autoregressive Joint Multiple Intent Detection and Slot Filling.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
DAS-CL: Towards Multimodal Machine Translation via Dual-Level Asymmetric Contrastive Learning.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Towards Spoken Language Understanding via Multi-level Multi-grained Contrastive Learning.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Towards Unified Spoken Language Understanding Decoding via Label-aware Compact Linguistics Representations.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
ML-LMCL: Mutual Learning and Large-Margin Contrastive Learning for Improving ASR Robustness in Spoken Language Understanding.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
Proceedings of the Conference on Robot Learning, 2022
2021
Reinforcement Learning for Robust Parameterized Locomotion Control of Bipedal Robots.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
2020
Automated Lane Change Strategy using Proximal Policy Optimization-based Deep Reinforcement Learning.
CoRR, 2020
Automated Lane Change Strategy using Proximal Policy Optimization-based Deep Reinforcement Learning.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020
2019
Driving Decision and Control for Autonomous Lane Change based on Deep Reinforcement Learning.
CoRR, 2019
Driving Decision and Control for Automated Lane Change Behavior based on Deep Reinforcement Learning.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019