When large language models meet personalization: perspectives of challenges and opportunities.
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World Wide Web (WWW), July, 2024
Skip and Skip: Segmenting Medical Images with Prompts.
CoRR, 2024
MISS: A Generative Pretraining and Finetuning Approach for Med-VQA.
CoRR, 2024
RecAI: Leveraging Large Language Models for Next-Generation Recommender Systems.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
Aligning Language Models for Versatile Text-based Item Retrieval.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
RecExplainer: Aligning Large Language Models for Explaining Recommendation Models.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
MISS: A Generative Pre-training and Fine-Tuning Approach for Med-VQA.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024
Large Vision-Language Models as Emotion Recognizers in Context Awareness.
Proceedings of the Asian Conference on Machine Learning, 2024
A Unified Self-Distillation Framework for Multimodal Sentiment Analysis with Uncertain Missing Modalities.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Enhancing text representations separately with entity descriptions.
Neurocomputing, October, 2023
RecExplainer: Aligning Large Language Models for Recommendation Model Interpretability.
CoRR, 2023
Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations.
CoRR, 2023
When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities.
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CoRR, 2023
Text-Oriented Modality Reinforcement Network for Multimodal Sentiment Analysis from Unaligned Multimodal Sequences.
Proceedings of the Artificial Intelligence - Third CAAI International Conference, 2023
Ered: Enhanced Text Representations with Entities and Descriptions.
CoRR, 2022
MuscleRehab: Improving Unsupervised Physical Rehabilitation by Monitoring and Visualizing Muscle Engagement.
Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology, 2022
O&O: A DIY toolkit for designing and rapid prototyping olfactory interfaces.
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022