Zhihong Zhu
Orcid: 0009-0007-8954-6737
According to our database1,
Zhihong Zhu
authored at least 77 papers
between 2021 and 2024.
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Bibliography
2024
Audio-text Retrieval with Transformer-based Hierarchical Alignment and Disentangled Cross-modal Representation.
CoRR, 2024
CoRR, 2024
MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation?
CoRR, 2024
D2O: Dynamic Discriminative Operations for Efficient Generative Inference of Large Language Models.
CoRR, 2024
CoRR, 2024
CoRR, 2024
Securing Reliability: A Brief Overview on Enhancing In-Context Learning for Foundation Models.
CoRR, 2024
AutoPRM: Automating Procedural Supervision for Multi-Step Reasoning via Controllable Question Decomposition.
CoRR, 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
AutoPRM: Automating Procedural Supervision for Multi-Step Reasoning via Controllable Question Decomposition.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
Towards Multimodal-augmented Pre-trained Language Models via Self-balanced Expectation-Maximization Iteration.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
InMu-Net: Advancing Multi-modal Intent Detection via Information Bottleneck and Multi-sensory Processing.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
<i>Aspects are Anchors: </i> Towards Multimodal Aspect-based Sentiment Analysis via Aspect-driven Alignment and Refinement.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Multivariate Cooperative Game for Image-Report Pairs: Hierarchical Semantic Alignment for Medical Report Generation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
TFCD: Towards Multi-modal Sarcasm Detection via Training-Free Counterfactual Debiasing.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Chinese Named Entity Recognition in the Ship News Field Based on Adversarial Transfer Learning.
Proceedings of the 2024 16th International Conference on Machine Learning and Computing, 2024
KC-Prompt: End-To-End Knowledge-Complementary Prompting for Rehearsal-Free Continual Learning.
Proceedings of the IEEE International Conference on Acoustics, 2024
Game on Tree: Visual Hallucination Mitigation via Coarse-to-Fine View Tree and Game Theory.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Mitigating Hallucinations of Large Language Models in Medical Information Extraction via Contrastive Decoding.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Learning to Match Representations is Better for End-to-End Task-Oriented Dialog System.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
LOOK-M: Look-Once Optimization in KV Cache for Efficient Multimodal Long-Context Inference.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Dual-oriented Disentangled Network with Counterfactual Intervention for Multimodal Intent Detection.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Relevance Is a Guiding Light: Relevance-aware Adaptive Learning for End-to-end Task-oriented Dialogue System.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the Computer Vision - ECCV 2024, 2024
Alignment before Awareness: Towards Visual Question Localized-Answering in Robotic Surgery via Optimal Transport and Answer Semantics.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Towards Multi-modal Sarcasm Detection via Disentangled Multi-grained Multi-modal Distilling.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Zero-Shot Spoken Language Understanding via Large Language Models: A Preliminary Study.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Multi-perspective Improvement of Knowledge Graph Completion with Large Language Models.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
InfoEnh: Towards Multimodal Sentiment Analysis via Information Bottleneck Filter and Optimal Transport Alignment.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Knowledge-enhanced Prompt Tuning for Dialogue-based Relation Extraction with Trigger and Label Semantic.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
SaLa: Scenario-aware Label Graph Interaction for Multi-intent Spoken Language Understanding.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Code-Switching Can be Better Aligners: Advancing Cross-Lingual SLU through Representation-Level and Prediction-Level Alignment.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Cyclical Contrastive Learning Based on Geodesic for Zero-shot Cross-lingual Spoken Language Understanding.
Proceedings of the Findings of the Association for Computational Linguistics, 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
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
An ECG Signal Acquisition and Analysis System Based on Machine Learning with Model Fusion.
Sensors, September, 2023
Implicit smoothed particle hydrodynamics model for simulating incompressible fluid-elastic coupling.
Comput. Animat. Virtual Worlds, 2023
Mix before Align: Towards Zero-shot Cross-lingual Sentiment Analysis via Soft-Mix and Multi-View Learning.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023
GhostT5: Generate More Features with Cheap Operations to Improve Textless Spoken Question Answering.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023
FC-MTLF: A Fine- and Coarse-grained Multi-Task Learning Framework for Cross-Lingual Spoken Language Understanding.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023
C²A-SLU: Cross and Contrastive Attention for Improving ASR Robustness in Spoken Language Understanding.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023
Improved Notch Filter Method for Vibration Suppression of Flexible Joint Robots with Harmonic Reducers.
Proceedings of the Intelligent Robotics and Applications - 16th International Conference, 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
A Grouping-Based Multi-task Scheduling Strategy with Deadline Constraint on Heterogeneous Edge Computing.
Proceedings of the Algorithms and Architectures for Parallel Processing, 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
TLAG: An Informative Trigger and Label-Aware Knowledge Guided Model for Dialogue-based Relation Extraction.
Proceedings of the 26th International Conference on Computer Supported Cooperative Work in Design, 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
An empirical study on the influencing factors of the stability of the coupling symbiosis network of industry-university-research.
J. Comput. Methods Sci. Eng., 2022
An Improved LightGBM Job Running Status Prediction Algorithm Integrating Combinatorial Feature Selection and Bayesian Hyperparameter Optimization on Spark.
Proceedings of the IEEE Smartworld, 2022
2021
J. Comput. Methods Sci. Eng., 2021
Proceedings of the Intelligent Robotics and Applications - 14th International Conference, 2021
Silicone Oil-Water Interaction and Emulsification Visual Simulation for Intraocular Silicone Oil Tamponade.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021