Exploring Semantic Representation in Brain Activity Using Word Embeddings. - Yu-Ping Ruan; Zhen-Hua Ling; Yu Hu 003 (EMNLP, 2016)

Building Sequential Inference Models for End-to-End Response Selection. - Jia-Chen Gu; Zhen-Hua Ling; Yu-Ping Ruan; Quan Liu 003 (CoRR, 2018)

A Sequential Neural Encoder With Latent Structured Description for Modeling Sentences. - Yu-Ping Ruan; Qian Chen 003; Zhen-Hua Ling (IEEE ACM Trans. Audio Speech Lang. Process., 2018)

Condition-transforming Variational Autoencoder for Conversation Response Generation. - Yu-Ping Ruan; Zhen-Hua Ling; Quan Liu 003; Zhigang Chen 003; Nitin Indurkhya (ICASSP, 2019)

Promoting Diversity for End-to-End Conversation Response Generation. - Yu-Ping Ruan; Zhen-Hua Ling; Quan Liu 003; Jia-Chen Gu; Xiaodan Zhu 001 (CoRR, 2019)

Exploring Unsupervised Pretraining and Sentence Structure Modelling for Winograd Schema Challenge. - Yu-Ping Ruan; Xiaodan Zhu 001; Zhen-Hua Ling; Zhan Shi; Quan Liu 003; Si Wei (CoRR, 2019)

Fine-Tuning BERT for Schema-Guided Zero-Shot Dialogue State Tracking. - Yu-Ping Ruan; Zhen-Hua Ling; Jia-Chen Gu; Quan Liu 003 (CoRR, 2020)

Pre-Trained and Attention-Based Neural Networks for Building Noetic Task-Oriented Dialogue Systems. - Jia-Chen Gu; Tianda Li; Quan Liu 003; Xiaodan Zhu 001; Zhen-Hua Ling; Yu-Ping Ruan (CoRR, 2020)

Generating diverse conversation responses by creating and ranking multiple candidates. - Yu-Ping Ruan; Zhen-Hua Ling; Xiaodan Zhu 001; Quan Liu 003; Jia-Chen Gu (Comput. Speech Lang., 2020)

Condition-Transforming Variational Autoencoder for Generating Diverse Short Text Conversations. - Yu-Ping Ruan; Zhen-Hua Ling; Xiaodan Zhu 001 (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2020)

SemEval-2021 Task 4: Reading Comprehension of Abstract Meaning. - Boyuan Zheng; Xiaoyu Yang 002; Yu-Ping Ruan; Zhen-Hua Ling; Quan Liu 003; Si Wei; Xiaodan Zhu 001 (SemEval@ACL/IJCNLP, 2021)

Deep Contextualized Utterance Representations for Response Selection and Dialogue Analysis. - Jia-Chen Gu; Tianda Li; Zhen-Hua Ling; Quan Liu 003; Zhiming Su; Yu-Ping Ruan; Xiaodan Zhu 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

Fast Sampling for Large-scale Linear Inverse Problems via Enlarging Principle Submatrix. - Fen Wang; Taihao Li; Ying Du; Yu-Ping Ruan; Gene Cheung (EUSIPCO, 2022)

Hierarchical and Multi-View Dependency Modelling Network for Conversational Emotion Recognition. - Yu-Ping Ruan; Shu-Kai Zheng; Taihao Li; Fen Wang; Guanxiong Pei (ICASSP, 2022)

Parameter-Efficient Tuning on Layer Normalization for Pre-trained Language Models. - Wang Qi; Yu-Ping Ruan; Yuan Zuo; Taihao Li (CoRR, 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)

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 (ACL (1), 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 (APSIPA ASC, 2023)

Capsule Network with Label Dependency Modeling for Multi-Label Emotion Classification. - Yu-Ping Ruan; Taihao Li (ECAI, 2023)

Emotion-Regularized Conditional Variational Autoencoder for Emotional Response Generation. - Yu-Ping Ruan; Zhen-Hua Ling (IEEE Trans. Affect. Comput., 2023)

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 (AAAI, 2024)

Fusing Modality-Specific Representations and Decisions for Multimodal Emotion Recognition. - Yu-Ping Ruan; Shoukang Han; Taihao Li; Yanfeng Wu (ICASSP, 2024)

Multi-Modal Emotion Recognition Using Multiple Acoustic Features and Dual Cross-Modal Transformer. - Yanfeng Wu; Pengcheng Yue; Leyuan Qu; Taihao Li; Yu-Ping Ruan (ICASSP, 2024)

Weakly Correlated Multimodal Sentiment Analysis: New Dataset and Topic-Oriented Model. - Wuchao Liu; Wengen Li; Yu-Ping Ruan; Yulou Shu; Juntao Chen; Yina Li; Caili Yu; Yichao Zhang 001; Jihong Guan; Shuigeng Zhou (IEEE Trans. Affect. Comput., 2024)