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MWPToolkit: An Open-Source Framework for Deep Learning-Based Math Word Problem Solvers


Sep 02, 2021
Yihuai Lan, Lei Wang, Qiyuan Zhang, Yunshi Lan, Bing Tian Dai, Yan Wang, Dongxiang Zhang, Ee-Peng Lim

* 9 pages, 2 figures 

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A Large-Scale Benchmark for Food Image Segmentation


May 12, 2021
Xiongwei Wu, Xin Fu, Ying Liu, Ee-Peng Lim, Steven C. H. Hoi, Qianru Sun

* 16 pages 

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ENCONTER: Entity Constrained Progressive Sequence Generation via Insertion-based Transformer


Mar 17, 2021
Lee-Hsun Hsieh, Yang-Yin Lee, Ee-Peng Lim

* EACL 2021 long paper 

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DeepStyle: User Style Embedding for Authorship Attribution of Short Texts


Mar 14, 2021
Zhiqiang Hu, Roy Ka-Wei Lee, Lei Wang, Ee-Peng Lim, Bo Dai

* Paper accepted for 4th APWeb-WAIM Joint Conference on Web and Big Data 

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Transforming Facial Weight of Real Images by Editing Latent Space of StyleGAN


Nov 05, 2020
V N S Rama Krishna Pinnimty, Matt Zhao, Palakorn Achananuparp, Ee-Peng Lim


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On Predicting Personal Values of Social Media Users using Community-Specific Language Features and Personal Value Correlation


Jul 16, 2020
Amila Silva, Pei-Chi Lo, Ee-Peng Lim


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Face to Purchase: Predicting Consumer Choices with Structured Facial and Behavioral Traits Embedding


Jul 14, 2020
Zhe Liu, Xianzhi Wang, Lina Yao, Jake An, Lei Bai, Ee-Peng Lim


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RecipeGPT: Generative Pre-training Based Cooking Recipe Generation and Evaluation System


Mar 05, 2020
Helena H. Lee, Ke Shu, Palakorn Achananuparp, Philips Kokoh Prasetyo, Yue Liu, Ee-Peng Lim, Lav R. Varshney

* Accepted to WWW 2020. Demo track paper 

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JPLink: On Linking Jobs to Vocational Interest Types


Feb 06, 2020
Amila Silva, Pei-Chi Lo, Ee-Peng Lim


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FoodAI: Food Image Recognition via Deep Learning for Smart Food Logging


Sep 26, 2019
Doyen Sahoo, Wang Hao, Shu Ke, Wu Xiongwei, Hung Le, Palakorn Achananuparp, Ee-Peng Lim, Steven C. H. Hoi

* Published at KDD 2019 (Applied Data Science track). Demo is accessible at https://foodai.org/ 

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Estimating Glycemic Impact of Cooking Recipes via Online Crowdsourcing and Machine Learning


Sep 17, 2019
Helena Lee, Palakorn Achananuparp, Yue Liu, Ee-Peng Lim, Lav R. Varshney

* To appear in the Proceedings of Digital Public Health 2019 as short paper 

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Characterizing and Predicting Repeat Food Consumption Behavior for Just-in-Time Interventions


Sep 17, 2019
Yue Liu, Helena Lee, Palakorn Achananuparp, Ee-Peng Lim, Tzu-Ling Cheng, Shou-De Lin

* To appear in the Proceedings of Digital Public Health 2019 

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A Near-Optimal Change-Detection Based Algorithm for Piecewise-Stationary Combinatorial Semi-Bandits


Aug 29, 2019
Huozhi Zhou, Lingda Wang, Lav R. Varshney, Ee-Peng Lim


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JobComposer: Career Path Optimization via Multicriteria Utility Learning


Sep 04, 2018
Richard J. Oentaryo, Xavier Jayaraj Siddarth Ashok, Ee-Peng Lim, Philips Kokoh Prasetyo

* ECML-PKDD Data Science for Human Capital Management 2018 

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Collective Semi-Supervised Learning for User Profiling in Social Media


Jun 24, 2016
Richard J. Oentaryo, Ee-Peng Lim, Freddy Chong Tat Chua, Jia-Wei Low, David Lo


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