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- research-articleMay 2024
Temporal Conformity-aware Hawkes Graph Network for Recommendations
WWW '24: Proceedings of the ACM Web Conference 2024Pages 3185–3194https://doi.org/10.1145/3589334.3645354Many existing recommender systems (RSs) assume user behavior is governed solely by their interests. However, the peer effect often influences individual decision-making, which leads to conformity behavior. Conventional solutions that eliminate ...
- research-articleOctober 2023
Emo-DNA: Emotion Decoupling and Alignment Learning for Cross-Corpus Speech Emotion Recognition
MM '23: Proceedings of the 31st ACM International Conference on MultimediaPages 5956–5965https://doi.org/10.1145/3581783.3611704Cross-corpus speech emotion recognition (SER) seeks to generalize the ability of inferring speech emotion from a well-labeled corpus to an unlabeled one, which is a rather challenging task due to the significant discrepancy between two corpora. Existing ...
- ArticleOctober 2023
FreeSeed: Frequency-Band-Aware and Self-guided Network for Sparse-View CT Reconstruction
Medical Image Computing and Computer Assisted Intervention – MICCAI 2023Pages 250–259https://doi.org/10.1007/978-3-031-43999-5_24AbstractSparse-view computed tomography (CT) is a promising solution for expediting the scanning process and mitigating radiation exposure to patients, the reconstructed images, however, contain severe streak artifacts, compromising subsequent screening ...
- research-articleOctober 2022
NEST: Simulating Pandemic-like Events for Collaborative Filtering by Modeling User Needs Evolution
CIKM '22: Proceedings of the 31st ACM International Conference on Information & Knowledge ManagementPages 1430–1440https://doi.org/10.1145/3511808.3557407We outline a simulation-based study of the effect rapid population-scale concept drifts have on Collaborative Filtering (CF) models. We create a framework for analyzing the effects of macro-trends in population dynamics on the behavior of such models. ...
- ArticleMay 2023
Self Pre-training with Single-Scale Adapter for Left Atrial Segmentation
- Can Tu,
- Ziyan Huang,
- Zhongying Deng,
- Yuncheng Yang,
- Chenglong Ma,
- Junjun He,
- Jin Ye,
- Haoyu Wang,
- Xiaowei Ding
Left Atrial and Scar Quantification and SegmentationPages 24–35https://doi.org/10.1007/978-3-031-31778-1_3AbstractAccurate Left Atrial (LA) segmentation from Late Gadolinium Enhancement Magnetic Resonance Imaging (LGE MRI) is fundamental to the diagnosis of Atrial Fibrillation (AF). Previous approaches tended to solve this problem by refining network ...
- short-paperJuly 2022
Evaluation of Herd Behavior Caused by Population-scale Concept Drift in Collaborative Filtering
SIGIR '22: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information RetrievalPages 1984–1989https://doi.org/10.1145/3477495.3531792Concept drift in stream data has been well studied in machine learning applications. In the field of recommender systems, this issue is also widely observed, as known as temporal dynamics in user behavior. Furthermore, in the context of COVID-19 ...
- research-articleNovember 2020
Enhanced Inductive Link Using Perpendicular Transmitting Coils in Wireless Power Transfer for Visual Implants
2020 IEEE 9th International Power Electronics and Motion Control Conference (IPEMC2020-ECCE Asia)Pages 2520–2524https://doi.org/10.1109/IPEMC-ECCEAsia48364.2020.9367955Coil misalignment is a serious problem in wireless power transfer (WPT) for visual implants since the relative positions of the receiving coils fixed in eyes are varying with time, which can lead to degradation of power transfer efficiency. To enhance the ...
