Web Intelligence
Mining, understanding and personalizing the Web and its content, including language and conversational AI.
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Precise object detection using adversarially augmented local/global feature fusion
X Han, T He, YS Ong, Y Zhong. Cited by 13
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Exploiting unsupervised data for emotion recognition in conversations
W Jiao, MR Lyu, I King. Cited by 15
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Explicit memory tracker with coarse-to-fine reasoning for conversational machine reading
Y Gao, CS Wu, S Joty, C Xiong, R Socher, I King, MR Lyu, SCH Hoi. Cited by 23
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A unified dual-view model for review summarization and sentiment classification with inconsistency loss
HP Chan, W Chen, I King. Cited by 40
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Discern: Discourse-aware entailment reasoning network for conversational machine reading
Y Gao, CS Wu, J Li, S Joty, SCH Hoi, C Xiong, I King, MR Lyu. Cited by 51
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Poison attacks against text datasets with conditional adversarially regularized autoencoder
A Chan, Y Tay, YS Ong, A Zhang. Cited by 65
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Cocon: A self-supervised approach for controlled text generation
A Chan, YS Ong, B Pung, A Zhang, J Fu. Cited by 108
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Vd-bert: A unified vision and dialog transformer with bert
Y Wang, S Joty, MR Lyu, I King, C Xiong, SCH Hoi. Cited by 114
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An overview of machine learning in chatbots
P Suta, X Lan, B Wu, P Mongkolnam, JH Chan. Cited by 213
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Recommendation Systems for Sequential Decisions
MM Hu, X Zhou, J Cao, I King
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BigScholar 2019: The 6th Workshop on Big Scholarly Data
F Xia, H Liu, I King, K Wang
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A Longitudinal Study on Quality of Experience (QoE) measures to predict customer’s Likelihood to Recommend (L2R) a service
A Azad, M Chignell, L Zucherman. Cited by 1