Haiyun Peng

25 papers A* 2Misc 1Journal 15Unranked 6
YearRankTypeTitle / Venue / Authors
2022 J jnl
An intelligent image detection method using improved canny edge detection operator.
Int. J. Inf. Technol. Manag.
Qian Wang, Wenxia Chen, Haiyun Peng
2021 — conf
Cross-lingual Aspect-based Sentiment Analysis with Aspect Term Code-Switching.
EMNLP (1)
Wenxuan Zhang, Ruidan He, Haiyun Peng, Lidong Bing, Wai Lam
2021 J jnl
Phonetic-enriched text representation for Chinese sentiment analysis with reinforcement learning.
Inf. Fusion
Haiyun Peng, Yukun Ma, Soujanya Poria, Yang Li, Erik Cambria
2020 J jnl
End-to-End latent-variable task-oriented dialogue system with exact log-likelihood optimization.
World Wide Web
Haotian Xu, Haiyun Peng, Haoran Xie, Erik Cambria, Liuyang Zhou, Weiguo Zheng
2020 A* conf
Knowing What, How and Why: A Near Complete Solution for Aspect-Based Sentiment Analysis.
AAAI
Haiyun Peng, Lu Xu, Lidong Bing, Fei Huang, Wei Lu, Luo Si
2019 — conf
A healthy node selection method based on particle swarm optimization under network intrusion environment.
ACM TUR-C
Jun Zhang, Ping-ping Xia, Juan Zhang, Haiyun Peng
2019 J jnl
Disentangled Variational Auto-Encoder for semi-supervised learning.
Inf. Sci.
Yang Li, Quan Pan, Suhang Wang, Haiyun Peng, Tao Yang, Erik Cambria
2019 — conf
Fusing Phonetic Features and Chinese Character Representation for Sentiment Analysis.
CICLing (2)
Haiyun Peng, Soujanya Poria, Yang Li, Erik Cambria
2019 J jnl
Knowing What, How and Why: A Near Complete Solution for Aspect-based Sentiment Analysis.
CoRR
Haiyun Peng, Lu Xu, Lidong Bing, Fei Huang, Wei Lu, Luo Si
2019 J jnl
Learning binary codes with neural collaborative filtering for efficient recommendation systems.
Knowl. Based Syst.
Yang Li, Suhang Wang, Quan Pan, Haiyun Peng, Tao Yang, Erik Cambria
2019 — —
Linguistic-inspired Chinese sentiment analysis : from characters to radicals and phonetics
Haiyun Peng
2019 J jnl
Phonetic-enriched Text Representation for Chinese Sentiment Analysis with Reinforcement Learning.
CoRR
Haiyun Peng, Yukun Ma, Soujanya Poria, Yang Li, Erik Cambria
2019 J jnl
Sentiment and Sarcasm Classification With Multitask Learning.
IEEE Intell. Syst.
Navonil Majumder, Soujanya Poria, Haiyun Peng, Niyati Chhaya, Erik Cambria, Alexander F. Gelbukh
2019 J jnl
Sentiment and Sarcasm Classification with Multitask Learning.
CoRR
Navonil Majumder, Soujanya Poria, Haiyun Peng, Niyati Chhaya, Erik Cambria, Alexander F. Gelbukh
2019 — conf
Towards Scalable and Reliable Capsule Networks for Challenging NLP Applications.
ACL (1)
Wei Zhao, Haiyun Peng, Steffen Eger, Erik Cambria, Min Yang
2019 J jnl
Towards Scalable and Reliable Capsule Networks for Challenging NLP Applications.
CoRR
Wei Zhao, Haiyun Peng, Steffen Eger, Erik Cambria, Min Yang
2018 — conf
BabelSenticNet: A Commonsense Reasoning Framework for Multilingual Sentiment Analysis.
SSCI
David Vilares, Haiyun Peng, Ranjan Satapathy, Erik Cambria
2018 J jnl
Learning multi-grained aspect target sequence for Chinese sentiment analysis.
Knowl. Based Syst.
Haiyun Peng, Yukun Ma, Yang Li, Erik Cambria
2018 J jnl
Sentic LSTM: a Hybrid Network for Targeted Aspect-Based Sentiment Analysis.
Cogn. Comput.
Yukun Ma, Haiyun Peng, Tahir Khan, Erik Cambria, Amir Hussain
2018 A* conf
Targeted Aspect-Based Sentiment Analysis via Embedding Commonsense Knowledge into an Attentive LSTM.
AAAI
Yukun Ma, Haiyun Peng, Erik Cambria
2017 J jnl
A Review of Sentiment Analysis Research in Chinese Language.
Cogn. Comput.
Haiyun Peng, Erik Cambria, Amir Hussain
2017 — conf
CSenticNet: A Concept-Level Resource for Sentiment Analysis in Chinese Language.
CICLing (2)
Haiyun Peng, Erik Cambria
2017 J jnl
Disentangled Variational Auto-Encoder for Semi-supervised Learning.
CoRR
Yang Li, Quan Pan, Suhang Wang, Haiyun Peng, Tao Yang, Erik Cambria
2017 J jnl
Ensemble application of convolutional neural networks and multiple kernel learning for multimodal sentiment analysis.
Neurocomputing
Soujanya Poria, Haiyun Peng, Amir Hussain, Newton Howard, Erik Cambria
2017 Misc conf
Radical-Based Hierarchical Embeddings for Chinese Sentiment Analysis at Sentence Level.
FLAIRS
Haiyun Peng, Erik Cambria, Xiaomei Zou