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Hao Ding

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Logic-Scaffolding: Personalized Aspect-Instructed Recommendation Explanation Generation using LLMs

Dec 22, 2023
Behnam Rahdari, Hao Ding, Ziwei Fan, Yifei Ma, Zhuotong Chen, Anoop Deoras, Branislav Kveton

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Distilling Functional Rearrangement Priors from Large Models

Dec 03, 2023
Yiming Zeng, Mingdong Wu, Long Yang, Jiyao Zhang, Hao Ding, Hui Cheng, Hao Dong

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Pre-trained Recommender Systems: A Causal Debiasing Perspective

Oct 30, 2023
Ziqian Lin, Hao Ding, Nghia Hoang, Branislav Kveton, Anoop Deoras, Hao Wang

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Personalized Federated Domain Adaptation for Item-to-Item Recommendation

Jun 05, 2023
Ziwei Fan, Hao Ding, Anoop Deoras, Trong Nghia Hoang

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GCNSLIM: Graph Convolutional Network with Sparse Linear Methods for E-government Service Recommendation

May 15, 2023
Lingyuan Kong, Hao Ding, Guangwei Hu

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Few-shot Medical Image Segmentation with Cycle-resemblance Attention

Dec 07, 2022
Hao Ding, Changchang Sun, Hao Tang, Dawen Cai, Yan Yan

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Rethinking Causality-driven Robot Tool Segmentation with Temporal Constraints

Nov 30, 2022
Hao Ding, Jie Ying Wu, Zhaoshuo Li, Mathias Unberath

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Twin-S: A Digital Twin for Skull-base Surgery

Nov 21, 2022
Hongchao Shu, Ruixing Liang, Zhaoshuo Li, Anna Goodridge, Xiangyu Zhang, Hao Ding, Nimesh Nagururu, Manish Sahu, Francis X. Creighton, Russell H. Taylor, Adnan Munawar, Mathias Unberath

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CaRTS: Causality-driven Robot Tool Segmentation from Vision and Kinematics Data

Apr 06, 2022
Hao Ding, Jintan Zhang, Peter Kazanzides, Jie Ying Wu, Mathias Unberath

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Context Uncertainty in Contextual Bandits with Applications to Recommender Systems

Feb 16, 2022
Hao Wang, Yifei Ma, Hao Ding, Yuyang Wang

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