Yu-Ping Ruan

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 28

Top Topics

Emotion Recognition

Linear Inverse Problems

Top Venues

IEEE ACM Trans. Audio Speech Lang. Process.

Publications

Jun Sun, Xinxin Zhang, Shoukang Han, Yu-Ping Ruan, Taihao Li
RedCore: Relative Advantage Aware Cross-Modal Representation Learning for Missing Modalities with Imbalanced Missing Rates. AAAI (2024)
Yu-Ping Ruan, Shoukang Han, Taihao Li, Yanfeng Wu
Fusing Modality-Specific Representations and Decisions for Multimodal Emotion Recognition. ICASSP (2024)
Yanfeng Wu, Pengcheng Yue, Leyuan Qu, Taihao Li, Yu-Ping Ruan
Multi-Modal Emotion Recognition Using Multiple Acoustic Features and Dual Cross-Modal Transformer. ICASSP (2024)
Jun Sun, Shoukang Han, Yu-Ping Ruan, Xiaoning Zhang, Shu-Kai Zheng, Yulong Liu, Yuxin Huang, Taihao Li
Layer-wise Fusion with Modality Independence Modeling for Multi-modal Emotion Recognition. ACL (1) (2023)
Jun Sun, Xinxin Zhang, Shoukang Han, Yu-Ping Ruan, Taihao Li
RedCore: Relative Advantage Aware Cross-modal Representation Learning for Missing Modalities with Imbalanced Missing Rates. CoRR (2023)
Yu-Ping Ruan, Zhen-Hua Ling
Emotion-Regularized Conditional Variational Autoencoder for Emotional Response Generation. IEEE Trans. Affect. Comput. 14 (1) (2023)
Yu-Ping Ruan, Shu-Kai Zheng, Jiantao Huang, Xiaoning Zhang, Yulong Liu, Taihao Li
CH-MEAD: A Chinese Multimodal Conversational Emotion Analysis Dataset with Fine-Grained Emotion Taxonomy. APSIPA ASC (2023)
Yu-Ping Ruan, Taihao Li
Capsule Network with Label Dependency Modeling for Multi-Label Emotion Classification. ECAI (2023)
Fen Wang, Taihao Li, Ying Du, Yu-Ping Ruan, Gene Cheung
Fast Sampling for Large-scale Linear Inverse Problems via Enlarging Principle Submatrix. EUSIPCO (2022)
Fen Wang, Gene Cheung, Taihao Li, Ying Du, Yu-Ping Ruan
Fast Sampling and Reconstruction for Linear Inverse Problems: From Vectors to Tensors. IEEE Trans. Signal Process. 70 (2022)
Wang Qi, Yu-Ping Ruan, Yuan Zuo, Taihao Li
Parameter-Efficient Tuning on Layer Normalization for Pre-trained Language Models. CoRR (2022)
Yu-Ping Ruan, Shu-Kai Zheng, Taihao Li, Fen Wang, Guanxiong Pei
Hierarchical and Multi-View Dependency Modelling Network for Conversational Emotion Recognition. ICASSP (2022)
Boyuan Zheng, Xiaoyu Yang, Yu-Ping Ruan, Zhen-Hua Ling, Quan Liu, Si Wei, Xiaodan Zhu
SemEval-2021 Task 4: Reading Comprehension of Abstract Meaning. SemEval@ACL/IJCNLP (2021)
Boyuan Zheng, Xiaoyu Yang, Yu-Ping Ruan, Zhen-Hua Ling, Quan Liu, Si Wei, Xiaodan Zhu
SemEval-2021 Task 4: Reading Comprehension of Abstract Meaning. CoRR (2021)
Jia-Chen Gu, Tianda Li, Zhen-Hua Ling, Quan Liu, Zhiming Su, Yu-Ping Ruan, Xiaodan Zhu
Deep Contextualized Utterance Representations for Response Selection and Dialogue Analysis. IEEE ACM Trans. Audio Speech Lang. Process. 29 (2021)
Yu-Ping Ruan, Zhen-Hua Ling
Emotion-Regularized Conditional Variational Autoencoder for Emotional Response Generation. CoRR (2021)
Jia-Chen Gu, Tianda Li, Quan Liu, Xiaodan Zhu, Zhen-Hua Ling, Yu-Ping Ruan
Pre-Trained and Attention-Based Neural Networks for Building Noetic Task-Oriented Dialogue Systems. CoRR (2020)
Yu-Ping Ruan, Zhen-Hua Ling, Jia-Chen Gu, Quan Liu
Fine-Tuning BERT for Schema-Guided Zero-Shot Dialogue State Tracking. CoRR (2020)
Yu-Ping Ruan, Zhen-Hua Ling, Xiaodan Zhu
Condition-Transforming Variational Autoencoder for Generating Diverse Short Text Conversations. ACM Trans. Asian Low Resour. Lang. Inf. Process. 19 (6) (2020)
Yu-Ping Ruan, Zhen-Hua Ling, Xiaodan Zhu, Quan Liu, Jia-Chen Gu
Generating diverse conversation responses by creating and ranking multiple candidates. Comput. Speech Lang. 62 (2020)
Yu-Ping Ruan, Xiaodan Zhu, Zhen-Hua Ling, Zhan Shi, Quan Liu, Si Wei
Exploring Unsupervised Pretraining and Sentence Structure Modelling for Winograd Schema Challenge. CoRR (2019)
Yu-Ping Ruan, Zhen-Hua Ling, Quan Liu, Zhigang Chen, Nitin Indurkhya
Condition-Transforming Variational AutoEncoder for Conversation Response Generation. CoRR (2019)
Yu-Ping Ruan, Zhen-Hua Ling, Quan Liu, Jia-Chen Gu, Xiaodan Zhu
Promoting Diversity for End-to-End Conversation Response Generation. CoRR (2019)
Yu-Ping Ruan, Zhen-Hua Ling, Quan Liu, Zhigang Chen, Nitin Indurkhya
Condition-transforming Variational Autoencoder for Conversation Response Generation. ICASSP (2019)
Jia-Chen Gu, Zhen-Hua Ling, Yu-Ping Ruan, Quan Liu
Building Sequential Inference Models for End-to-End Response Selection. CoRR (2018)
Yu-Ping Ruan, Qian Chen, Zhen-Hua Ling
A Sequential Neural Encoder With Latent Structured Description for Modeling Sentences. IEEE ACM Trans. Audio Speech Lang. Process. 26 (2) (2018)
Yu-Ping Ruan, Qian Chen, Zhen-Hua Ling
A Sequential Neural Encoder with Latent Structured Description for Modeling Sentences. CoRR (2017)
Yu-Ping Ruan, Zhen-Hua Ling, Yu Hu
Exploring Semantic Representation in Brain Activity Using Word Embeddings. EMNLP (2016)