Discovering New Intents with Deep Aligned Clustering H Zhang, H Xu, TE Lin, R Lyu AAAI 2021, Regular paper 35 (16), 14365-14373, 2021 | 106 | 2021 |
Deep Open Intent Classification with Adaptive Decision Boundary H Zhang, H Xu, TE Lin AAAI 2021, Regular paper 35 (16), 14374-14382, 2021 | 105 | 2021 |
Discovering New Intents via Constrained Deep Adaptive Clustering with Cluster Refinement TE Lin, H Xu, H Zhang AAAI 2020, Regular paper 35 (4), 8360-8367, 2020 | 104 | 2020 |
TEXTOIR: An Integrated and Visualized Platform for Text Open Intent Recognition H Zhang, X Li, H Xu, P Zhang, K Zhao, K Gao ACL 2021, Demo paper, 167-174, 2021 | 33 | 2021 |
MIntRec: A New Dataset for Multimodal Intent Recognition H Zhang, H Xu, X Wang, Q Zhou, S Zhao, J Teng ACM MM 2022, Regular paper, 1688-1697, 2022 | 25 | 2022 |
Learning Discriminative Representations and Decision Boundaries for Open Intent Detection H Zhang, H Xu, S Zhao, Q Zhou IEEE/ACM Transactions on Audio, Speech, and Language Processing (IEEE/ACM …, 2023 | 13 | 2023 |
A Clustering Framework for Unsupervised and Semi-supervised New Intent Discovery H Zhang, H Xu, X Wang, F Long, K Gao IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 1-14, 2023 | 9* | 2023 |
Token-Level Contrastive Learning with Modality-Aware Prompting for Multimodal Intent Recognition Q Zhou, H Xu, H Li, H Zhang, X Zhang, Y Wang, K Gao AAAI 2024, Regular paper, 2023 | 4 | 2023 |
Intent Recognition for Human-Machine Interactions H Xu, H Zhang, TE Lin Springer, 2023 | 2* | 2023 |
Unsupervised Multimodal Clustering for Semantics Discovery in Multimodal Utterances H Zhang, H Xu, F Long, X Wang, K Gao ACL 2024, Regular paper, 2024 | | 2024 |
MIntRec2.0: A Large-scale Benchmark Dataset for Multimodal Intent Recognition and Out-of-scope Detection in Conversations H Zhang, X Wang, H Xu, Q Zhou, K Gao, J Su, J Zhao, W Li, Y Chen ICLR 2024, Regular paper, 2024 | | 2024 |