CSenticNet: A Concept-Level Resource for Sentiment Analysis in Chinese Language. - Haiyun Peng; Erik Cambria (CICLing (2), 2017)

Radical-Based Hierarchical Embeddings for Chinese Sentiment Analysis at Sentence Level. - Haiyun Peng; Erik Cambria; Xiaomei Zou (FLAIRS, 2017)

A Review of Sentiment Analysis Research in Chinese Language. - Haiyun Peng; Erik Cambria; Amir Hussain 001 (Cogn. Comput., 2017)

Ensemble application of convolutional neural networks and multiple kernel learning for multimodal sentiment analysis. - Soujanya Poria; Haiyun Peng; Amir Hussain 001; Newton Howard; Erik Cambria (Neurocomputing, 2017)

Targeted Aspect-Based Sentiment Analysis via Embedding Commonsense Knowledge into an Attentive LSTM. - Yukun Ma; Haiyun Peng; Erik Cambria (AAAI, 2018)

BabelSenticNet: A Commonsense Reasoning Framework for Multilingual Sentiment Analysis. - David Vilares 001; Haiyun Peng; Ranjan Satapathy; Erik Cambria (SSCI, 2018)

Sentic LSTM: a Hybrid Network for Targeted Aspect-Based Sentiment Analysis. - Yukun Ma; Haiyun Peng; Tahir Khan; Erik Cambria; Amir Hussain 001 (Cogn. Comput., 2018)

Learning multi-grained aspect target sequence for Chinese sentiment analysis. - Haiyun Peng; Yukun Ma; Yang Li 055; Erik Cambria (Knowl. Based Syst., 2018)

Towards Scalable and Reliable Capsule Networks for Challenging NLP Applications. - Wei Zhao 033; Haiyun Peng; Steffen Eger; Erik Cambria; Min Yang 007 (ACL (1), 2019)

A healthy node selection method based on particle swarm optimization under network intrusion environment. - Jun Zhang; Ping-ping Xia; Juan Zhang; Haiyun Peng (ACM TUR-C, 2019)

Fusing Phonetic Features and Chinese Character Representation for Sentiment Analysis. - Haiyun Peng; Soujanya Poria; Yang Li 055; Erik Cambria (CICLing (2), 2019)

Sentiment and Sarcasm Classification With Multitask Learning. - Navonil Majumder; Soujanya Poria; Haiyun Peng; Niyati Chhaya; Erik Cambria; Alexander F. Gelbukh (IEEE Intell. Syst., 2019)

Disentangled Variational Auto-Encoder for semi-supervised learning. - Yang Li 055; Quan Pan 001; Suhang Wang; Haiyun Peng; Tao Yang 028; Erik Cambria (Inf. Sci., 2019)

Learning binary codes with neural collaborative filtering for efficient recommendation systems. - Yang Li 055; Suhang Wang; Quan Pan 001; Haiyun Peng; Tao Yang 028; Erik Cambria (Knowl. Based Syst., 2019)

Linguistic-inspired Chinese sentiment analysis : from characters to radicals and phonetics - Haiyun Peng (2019)

Knowing What, How and Why: A Near Complete Solution for Aspect-Based Sentiment Analysis. - Haiyun Peng; Lu Xu 007; Lidong Bing; Fei Huang 002; Wei Lu 011; Luo Si (AAAI, 2020)

End-to-End latent-variable task-oriented dialogue system with exact log-likelihood optimization. - Haotian Xu; Haiyun Peng; Haoran Xie 001; Erik Cambria; Liuyang Zhou; Weiguo Zheng (World Wide Web, 2020)

Cross-lingual Aspect-based Sentiment Analysis with Aspect Term Code-Switching. - Wenxuan Zhang 001; Ruidan He; Haiyun Peng; Lidong Bing; Wai Lam (EMNLP (1), 2021)

Phonetic-enriched text representation for Chinese sentiment analysis with reinforcement learning. - Haiyun Peng; Yukun Ma; Soujanya Poria; Yang Li 055; Erik Cambria (Inf. Fusion, 2021)

An intelligent image detection method using improved canny edge detection operator. - Qian Wang; Wenxia Chen; Haiyun Peng (Int. J. Inf. Technol. Manag., 2022)