Yu-Ping Ruan

According to our database, Yu-Ping Ruan authored at least 21 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

RedCore: Relative Advantage Aware Cross-Modal Representation Learning for Missing Modalities with Imbalanced Missing Rates.

Jun Sun, Xinxin Zhang, Shoukang Han, Yu-Ping Ruan, Taihao Li

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Emotion-Regularized Conditional Variational Autoencoder for Emotional Response Generation.

Yu-Ping Ruan, Zhen-Hua Ling

IEEE Trans. Affect. Comput., 2023

Capsule Network with Label Dependency Modeling for Multi-Label Emotion Classification.

Yu-Ping Ruan, Taihao Li

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

CH-MEAD: A Chinese Multimodal Conversational Emotion Analysis Dataset with Fine-Grained Emotion Taxonomy.

Yu-Ping Ruan, Shu-Kai Zheng, Jiantao Huang, Xiaoning Zhang, Yulong Liu, Taihao Li

Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2023

Layer-wise Fusion with Modality Independence Modeling for Multi-modal Emotion Recognition.

Jun Sun, Shoukang Han, Yu-Ping Ruan, Xiaoning Zhang, Shu-Kai Zheng, Yulong Liu, Yuxin Huang, Taihao Li

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Fast Sampling and Reconstruction for Linear Inverse Problems: From Vectors to Tensors.

Fen Wang, Gene Cheung, Taihao Li, Ying Du, Yu-Ping Ruan

IEEE Trans. Signal Process., 2022

Parameter-Efficient Tuning on Layer Normalization for Pre-trained Language Models.

Wang Qi, Yu-Ping Ruan, Yuan Zuo, Taihao Li

CoRR, 2022

Hierarchical and Multi-View Dependency Modelling Network for Conversational Emotion Recognition.

Yu-Ping Ruan, Shu-Kai Zheng, Taihao Li, Fen Wang, Guanxiong Pei

Proceedings of the IEEE International Conference on Acoustics, 2022

Fast Sampling for Large-scale Linear Inverse Problems via Enlarging Principle Submatrix.

Fen Wang, Taihao Li, Ying Du, Yu-Ping Ruan, Gene Cheung

Proceedings of the 30th European Signal Processing Conference, 2022

2021

Deep Contextualized Utterance Representations for Response Selection and Dialogue Analysis.

Jia-Chen Gu, Tianda Li, Zhen-Hua Ling, Quan Liu, Zhiming Su, Yu-Ping Ruan, Xiaodan Zhu

IEEE ACM Trans. Audio Speech Lang. Process., 2021

SemEval-2021 Task 4: Reading Comprehension of Abstract Meaning.

Boyuan Zheng, Xiaoyu Yang, Yu-Ping Ruan, Zhen-Hua Ling, Quan Liu, Si Wei, Xiaodan Zhu

Proceedings of the 15th International Workshop on Semantic Evaluation, 2021

2020

Condition-Transforming Variational Autoencoder for Generating Diverse Short Text Conversations.

Yu-Ping Ruan, Zhen-Hua Ling, Xiaodan Zhu

ACM Trans. Asian Low Resour. Lang. Inf. Process., 2020

Generating diverse conversation responses by creating and ranking multiple candidates.

Yu-Ping Ruan, Zhen-Hua Ling, Xiaodan Zhu, Quan Liu, Jia-Chen Gu

Comput. Speech Lang., 2020

Pre-Trained and Attention-Based Neural Networks for Building Noetic Task-Oriented Dialogue Systems.

Jia-Chen Gu, Tianda Li, Quan Liu, Xiaodan Zhu, Zhen-Hua Ling, Yu-Ping Ruan

CoRR, 2020

Fine-Tuning BERT for Schema-Guided Zero-Shot Dialogue State Tracking.

Yu-Ping Ruan, Zhen-Hua Ling, Jia-Chen Gu, Quan Liu

CoRR, 2020

2019

Exploring Unsupervised Pretraining and Sentence Structure Modelling for Winograd Schema Challenge.

Yu-Ping Ruan, Xiaodan Zhu, Zhen-Hua Ling, Zhan Shi, Quan Liu, Si Wei

CoRR, 2019

Promoting Diversity for End-to-End Conversation Response Generation.

Yu-Ping Ruan, Zhen-Hua Ling, Quan Liu, Jia-Chen Gu, Xiaodan Zhu

CoRR, 2019

Condition-transforming Variational Autoencoder for Conversation Response Generation.

Yu-Ping Ruan, Zhen-Hua Ling, Quan Liu, Zhigang Chen, Nitin Indurkhya

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

A Sequential Neural Encoder With Latent Structured Description for Modeling Sentences.

Yu-Ping Ruan, Qian Chen, Zhen-Hua Ling

IEEE ACM Trans. Audio Speech Lang. Process., 2018

Building Sequential Inference Models for End-to-End Response Selection.

Jia-Chen Gu, Zhen-Hua Ling, Yu-Ping Ruan, Quan Liu

CoRR, 2018

2016

Exploring Semantic Representation in Brain Activity Using Word Embeddings.

Yu-Ping Ruan, Zhen-Hua Ling, Yu Hu

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016