Hanlei Zhang

Orcid: 0000-0003-3448-6793

According to our database1, Hanlei Zhang authored at least 25 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Evolutionary Multimodal Reasoning via Hierarchical Semantic Representation for Intent Recognition.
CoRR, March, 2026

Ellipsoid-Based Decision Boundaries for Open Intent Classification.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Multimodal Classification and Out-of-Distribution Detection for Multimodal Intent Understanding.
IEEE Trans. Multim., 2025

Can Large Language Models Help Multimodal Language Analysis? MMLA: A Comprehensive Benchmark.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

BARBIE: Robust Backdoor Detection Based on Latent Separability.
Proceedings of the 32nd Annual Network and Distributed System Security Symposium, 2025

LLM-Guided Semantic Relational Reasoning for Multimodal Intent Recognition.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024
A Clustering Framework for Unsupervised and Semi-Supervised New Intent Discovery.
IEEE Trans. Knowl. Data Eng., November, 2024

Deep-Learning Recognition of Scanning Transmission Electron Microscopy: Quantifying and Mitigating the Influence of Gaussian Noises.
CoRR, 2024

Real-time scheduling for two-stage assembly flowshop with dynamic job arrivals by deep reinforcement learning.
Adv. Eng. Informatics, 2024

MIntRec2.0: A Large-scale Benchmark Dataset for Multimodal Intent Recognition and Out-of-scope Detection in Conversations.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Unsupervised Multimodal Clustering for Semantics Discovery in Multimodal Utterances.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Token-Level Contrastive Learning with Modality-Aware Prompting for Multimodal Intent Recognition.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Intent Recognition for Human-Machine Interactions
Springer Briefs in Computer Science, Springer, ISBN: 978-981-99-3884-1, 2023

Learning Discriminative Representations and Decision Boundaries for Open Intent Detection.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

USNID: A Framework for Unsupervised and Semi-supervised New Intent Discovery.
CoRR, 2023

DDS: An Auction Based on a Variant of Data Shapley for Federated Learning.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2023

VILLAIN: Backdoor Attacks Against Vertical Split Learning.
Proceedings of the 32nd USENIX Security Symposium, 2023

2022
Towards Open Intent Detection.
CoRR, 2022

MIntRec: A New Dataset for Multimodal Intent Recognition.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

2021
TEXTOIR: An Integrated and Visualized Platform for Text Open Intent Recognition.
Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Discovering New Intents with Deep Aligned Clustering.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Deep Open Intent Classification with Adaptive Decision Boundary.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Discovering New Intents with Deep Aligned Clustering.
CoRR, 2020

Discovering New Intents via Constrained Deep Adaptive Clustering with Cluster Refinement.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Constrained Self-Supervised Clustering for Discovering New Intents (Student Abstract).
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020


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