activity
20212023
most citedMeta-HAR: Federated Representation Learning for Human Activity Recognition

123 citations · 285 across the 15 of their papers we have counts for

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Showing 2021Show all

6 papers · 1 filter

cs.IR2021★ 73 cited

RecGURU: Adversarial Learning of Generalized User Representations for Cross-Domain Recommendation

Chenglin Li, Mingjun Zhao, Huanming Zhang +5

Cross-domain recommendation can help alleviate the data sparsity issue in traditional sequential recommender systems. In this paper, we propose the RecGURU algorithm framework to g…

cs.LG2021

TAG: Toward Accurate Social Media Content Tagging with a Concept Graph

Jiuding Yang, Weidong Guo, Bang Liu +6

Although conceptualization has been widely studied in semantics and knowledge representation, it is still challenging to find the most accurate concept phrases to characterize the…

cs.CL2021★ 6 cited

LICHEE: Improving Language Model Pre-training with Multi-grained Tokenization

Weidong Guo, Mingjun Zhao, Lusheng Zhang +5

Language model pre-training based on large corpora has achieved tremendous success in terms of constructing enriched contextual representations and has led to significant performan…

cs.CV2021★ 11 cited

Similarity Embedding Networks for Robust Human Activity Recognition

Chenglin Li, Carrie Lu Tong, Di Niu +5

Deep learning models for human activity recognition (HAR) based on sensor data have been heavily studied recently. However, the generalization ability of deep models on complex rea…

eess.SP2021★ 123 cited

Meta-HAR: Federated Representation Learning for Human Activity Recognition

Chenglin Li, Di Niu, Bei Jiang +2

Human activity recognition (HAR) based on mobile sensors plays an important role in ubiquitous computing. However, the rise of data regulatory constraints precludes collecting priv…

cs.CL2021

Verdi: Quality Estimation and Error Detection for Bilingual Corpora

Mingjun Zhao, Haijiang Wu, Di Niu +2

Translation Quality Estimation is critical to reducing post-editing efforts in machine translation and to cross-lingual corpus cleaning. As a research problem, quality estimation (…