Jiaxi Tang

Orcid: 0009-0001-0172-9982

According to our database1, Jiaxi Tang authored at least 16 papers between 2016 and 2024.

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Bibliography

2024
Short-form Video Needs Long-term Interests: An Industrial Solution for Serving Large User Sequence Models.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024

2023
Improving Training Stability for Multitask Ranking Models in Recommender Systems.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Using sEMG Signal Frequency to Evaluate Post-Stroke Elbow Spasticity.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022
Attention Optimized Deep Generative Adversarial Network for Removing Uneven Dense Haze.
Symmetry, 2022

A comparative review of graph convolutional networks for human skeleton-based action recognition.
Artif. Intell. Rev., 2022

Distributionally-robust Recommendations for Improving Worst-case User Experience.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

A Practical Post-Stroke Elbow Spasticity Assessment Using an Upper Limb Rehabilitation Robot: A Validation Study.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021
Multimodal Data Fusion Using Non-Sparse Multi-Kernel Learning With Regularized Label Softening.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

2020
Understanding and Improving Knowledge Distillation.
CoRR, 2020

Off-policy Learning in Two-stage Recommender Systems.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Revisiting Adversarially Learned Injection Attacks Against Recommender Systems.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

2019
Towards Neural Mixture Recommender for Long Range Dependent User Sequences.
Proceedings of the World Wide Web Conference, 2019

2018
Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Sequential Recommendation with User Memory Networks.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Ranking Distillation: Learning Compact Ranking Models With High Performance for Recommender System.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2016
Browsing Regularities in Hedonic Content Systems.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016


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