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Blockchain-based Trustworthy Federated Learning Architecture

Aug 16, 2021
Sin Kit Lo, Yue Liu, Qinghua Lu, Chen Wang, Xiwei Xu, Hye-Young Paik, Liming Zhu

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Towards Demystifying Serverless Machine Learning Training

May 17, 2021
Jiawei Jiang, Shaoduo Gan, Yue Liu, Fanlin Wang, Gustavo Alonso, Ana Klimovic, Ankit Singla, Wentao Wu, Ce Zhang

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Personalized Entity Resolution with Dynamic Heterogeneous Knowledge Graph Representations

Apr 14, 2021
Ying Lin, Han Wang, Jiangning Chen, Tong Wang, Yue Liu, Heng Ji, Yang Liu, Premkumar Natarajan

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Beyond Visual Attractiveness: Physically Plausible Single Image HDR Reconstruction for Spherical Panoramas

Mar 24, 2021
Wei Wei, Li Guan, Yue Liu, Hao Kang, Haoxiang Li, Ying Wu, Gang Hua

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Deep Learning for Android Malware Defenses: a Systematic Literature Review

Mar 09, 2021
Yue Liu, Chakkrit Tantithamthavorn, Li Li, Yepang Liu

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A Local Method for Identifying Causal Relations under Markov Equivalence

Feb 25, 2021
Zhuangyan Fang, Yue Liu, Zhi Geng, Yangbo He

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Out-of-Distribution Generalization Analysis via Influence Function

Jan 21, 2021
Haotian Ye, Chuanlong Xie, Yue Liu, Zhenguo Li

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Deep Neural Network Approach for Annual Luminance Simulations

Sep 14, 2020
Yue Liu, Alex Colburn, Mehlika Inanici

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Video Moment Retrieval via Natural Language Queries

Sep 10, 2020
Xinli Yu, Mohsen Malmir, Cynthia He, Yue Liu, Rex Wu

* needs internal approval 

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Adding Seemingly Uninformative Labels Helps in Low Data Regimes

Aug 11, 2020
Christos Matsoukas, Albert Bou I Hernandez, Yue Liu, Karin Dembrower, Gisele Miranda, Emir Konuk, Johan Fredin Haslum, Athanasios Zouzos, Peter Lindholm, Fredrik Strand, Kevin Smith

* ICML 2020 

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Decoupling Inherent Risk and Early Cancer Signs in Image-based Breast Cancer Risk Models

Jul 14, 2020
Yue Liu, Hossein Azizpour, Fredrik Strand, Kevin Smith

* Medical Image Computing and Computer Assisted Interventions 2020 

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Online NEAT for Credit Evaluation -- a Dynamic Problem with Sequential Data

Jul 06, 2020
Yue Liu, Adam Ghandar, Georgios Theodoropoulos

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Real-time Human Activity Recognition Using Conditionally Parametrized Convolutions on Mobile and Wearable Devices

Jun 13, 2020
Xin Cheng, Lei Zhang, Yin Tang, Yue Liu, Hao Wu, Jun He

* 10 pages,14 figures 

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Risk Variance Penalization: From Distributional Robustness to Causality

Jun 13, 2020
Chuanlong Xie, Fei Chen, Yue Liu, Zhenguo Li

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Low Rank Directed Acyclic Graphs and Causal Structure Learning

Jun 10, 2020
Zhuangyan Fang, Shengyu Zhu, Jiji Zhang, Yue Liu, Zhitang Chen, Yangbo He

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Stable Prediction via Leveraging Seed Variable

Jun 09, 2020
Kun Kuang, Bo Li, Peng Cui, Yue Liu, Jianrong Tao, Yueting Zhuang, Fei Wu

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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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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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Causal Discovery by Kernel Intrinsic Invariance Measure

Sep 02, 2019
Zhitang Chen, Shengyu Zhu, Yue Liu, Tim Tse

* 9 pages, preprint 

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Exploring Stereovision-Based 3-D Scene Reconstruction for Augmented Reality

Feb 17, 2019
Guang-Yu Nie, Yun Liu, Cong Wang, Yue Liu, Yongtian Wang

* To be published in IEEE VR2019 Conference as a Poster 

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Seq2RDF: An end-to-end application for deriving Triples from Natural Language Text

Aug 08, 2018
Yue Liu, Tongtao Zhang, Zhicheng Liang, Heng Ji, Deborah L. McGuinness

* Proceedings of the 17th International Semantic Web Conference P&D 

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Recurrent knowledge distillation

May 18, 2018
Silvia L. Pintea, Yue Liu, Jan C. van Gemert

* International Conference on Image Processing (ICIP), 2018 

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Exploiting Task-Oriented Resources to Learn Word Embeddings for Clinical Abbreviation Expansion

Apr 11, 2018
Yue Liu, Tao Ge, Kusum S. Mathews, Heng Ji, Deborah L. McGuinness

* Proceedings of BioNLP 15 

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