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Yu-Ping Ruan

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2020 – today

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2024
[j7]
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Wuchao Liu, Wengen Li, Yu-Ping Ruan, Yulou Shu, Juntao Chen, Yina Li, Caili Yu, Yichao Zhang, Jihong Guan, Shuigeng Zhou:
Weakly Correlated Multimodal Sentiment Analysis: New Dataset and Topic-Oriented Model. IEEE Trans. Affect. Comput. 15(4): 2070-2082 (2024)
[c11]
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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: 15173-15182
[c10]
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Yu-Ping Ruan, Shoukang Han, Taihao Li, Yanfeng Wu:
Fusing Modality-Specific Representations and Decisions for Multimodal Emotion Recognition. ICASSP 2024: 7925-7929
[c9]
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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: 10496-10500
2023
[j6]
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Yu-Ping Ruan, Zhen-Hua Ling:
Emotion-Regularized Conditional Variational Autoencoder for Emotional Response Generation. IEEE Trans. Affect. Comput. 14(1): 842-848 (2023)
[c8]
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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: 658-670
[c7]
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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: 498-505
[c6]
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Yu-Ping Ruan, Taihao Li:
Capsule Network with Label Dependency Modeling for Multi-Label Emotion Classification. ECAI 2023: 2018-2024
[i11]
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  - journals/corr/abs-2312-10386
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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 abs/2312.10386 (2023)
2022
[j5]
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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: 6376-6391 (2022)
[c5]
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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: 2266-2270
[c4]
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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: 7032-7036
[i10]
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  - journals/corr/abs-2211-08682
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Wang Qi, Yu-Ping Ruan, Yuan Zuo, Taihao Li:
Parameter-Efficient Tuning on Layer Normalization for Pre-trained Language Models. CoRR abs/2211.08682 (2022)
2021
[j4]
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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: 2443-2455 (2021)
[c3]
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  - conf/semeval/ZhengYRLLWZ21
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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: 37-50
[i9]
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  - journals/corr/abs-2104-08857
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Yu-Ping Ruan, Zhen-Hua Ling:
Emotion-Regularized Conditional Variational Autoencoder for Emotional Response Generation. CoRR abs/2104.08857 (2021)
[i8]
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  - journals/corr/abs-2105-14879
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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 abs/2105.14879 (2021)
2020
[j3]
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  - journals/csl/RuanLZLG20
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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: 101071 (2020)
[j2]
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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): 79:1-79:13 (2020)
[i7]
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  - journals/corr/abs-2002-00181
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Yu-Ping Ruan, Zhen-Hua Ling, Jia-Chen Gu, Quan Liu:
Fine-Tuning BERT for Schema-Guided Zero-Shot Dialogue State Tracking. CoRR abs/2002.00181 (2020)
[i6]
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  - journals/corr/abs-2004-01940
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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 abs/2004.01940 (2020)

2010 – 2019

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2019
[c2]
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Yu-Ping Ruan, Zhen-Hua Ling, Quan Liu, Zhigang Chen, Nitin Indurkhya:
Condition-transforming Variational Autoencoder for Conversation Response Generation. ICASSP 2019: 7215-7219
[i5]
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  - journals/corr/abs-1901-09444
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Yu-Ping Ruan, Zhen-Hua Ling, Quan Liu, Jia-Chen Gu, Xiaodan Zhu:
Promoting Diversity for End-to-End Conversation Response Generation. CoRR abs/1901.09444 (2019)
[i4]
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  - journals/corr/abs-1904-09705
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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 abs/1904.09705 (2019)
[i3]
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  - journals/corr/abs-1904-10610
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Yu-Ping Ruan, Zhen-Hua Ling, Quan Liu, Zhigang Chen, Nitin Indurkhya:
Condition-Transforming Variational AutoEncoder for Conversation Response Generation. CoRR abs/1904.10610 (2019)
2018
[j1]
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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): 231-242 (2018)
[i2]
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  - journals/corr/abs-1812-00686
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Jia-Chen Gu, Zhen-Hua Ling, Yu-Ping Ruan, Quan Liu:
Building Sequential Inference Models for End-to-End Response Selection. CoRR abs/1812.00686 (2018)
2017
[i1]
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  - journals/corr/abs-1711-05433
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Yu-Ping Ruan, Qian Chen, Zhen-Hua Ling:
A Sequential Neural Encoder with Latent Structured Description for Modeling Sentences. CoRR abs/1711.05433 (2017)
2016
[c1]
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  - conf/emnlp/RuanLH16
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Yu-Ping Ruan, Zhen-Hua Ling, Yu Hu:
Exploring Semantic Representation in Brain Activity Using Word Embeddings. EMNLP 2016: 669-679

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