Jiaxi Tang

21 papers A* 6A 4Journal 9Unranked 2
YearRankTypeTitle / Venue / Authors
2024 A conf
Short-form Video Needs Long-term Interests: An Industrial Solution for Serving Large User Sequence Models.
RecSys
Yuening Li, Diego Uribe, Chuan He, Jiaxi Tang, Qingyun Liu, Junjie Shan, Ben Most, Kaushik Kalyan, Shuchao Bi, Xinyang Yi, Lichan Hong, Ed H. Chi, Liang Liu
2023 A* conf
Improving Training Stability for Multitask Ranking Models in Recommender Systems.
KDD
Jiaxi Tang, Yoel Drori, Daryl Chang, Maheswaran Sathiamoorthy, Justin Gilmer, Li Wei, Xinyang Yi, Lichan Hong, Ed H. Chi
2023 J jnl
Improving Training Stability for Multitask Ranking Models in Recommender Systems.
CoRR
Jiaxi Tang, Yoel Drori, Daryl Chang, Maheswaran Sathiamoorthy, Justin Gilmer, Li Wei, Xinyang Yi, Lichan Hong, Ed H. Chi
2023 — conf
Using sEMG Signal Frequency to Evaluate Post-Stroke Elbow Spasticity.
EMBC
Xinliang Guo, Jiaxi Tang, Vincent Crocher, Marlena Klaic, Denny Oetomo, Qing Xie, Chuanxin Minos Niu, Ying Tan
2022 — conf
A Practical Post-Stroke Elbow Spasticity Assessment Using an Upper Limb Rehabilitation Robot: A Validation Study.
EMBC
Xinliang Guo, Jiaxi Tang, Vincent Crocher, Marlena Klaic, Denny Oetomo, Qing Xie, Mary P. Galea, Chuanxin Minos Niu, Ying Tan
2022 J jnl
A comparative review of graph convolutional networks for human skeleton-based action recognition.
Artif. Intell. Rev.
Liqi Feng, Yaqin Zhao, Wenxuan Zhao, Jiaxi Tang
2022 J jnl
Attention Optimized Deep Generative Adversarial Network for Removing Uneven Dense Haze.
Symmetry
Wenxuan Zhao, Yaqin Zhao, Liqi Feng, Jiaxi Tang
2022 A* conf
Distributionally-robust Recommendations for Improving Worst-case User Experience.
WWW
Hongyi Wen, Xinyang Yi, Tiansheng Yao, Jiaxi Tang, Lichan Hong, Ed H. Chi
2021 J jnl
Multimodal Data Fusion Using Non-Sparse Multi-Kernel Learning With Regularized Label Softening.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Peihua Wang, Chengyu Qiu, Jiali Wang, Yulong Wang, Jiaxi Tang, Bin Huang, Jian Su, Yuanpeng Zhang
2020 A* conf
Off-policy Learning in Two-stage Recommender Systems.
WWW
Jiaqi Ma, Zhe Zhao, Xinyang Yi, Ji Yang, Minmin Chen, Jiaxi Tang, Lichan Hong, Ed H. Chi
2020 A conf
Revisiting Adversarially Learned Injection Attacks Against Recommender Systems.
RecSys
Jiaxi Tang, Hongyi Wen, Ke Wang
2020 J jnl
Revisiting Adversarially Learned Injection Attacks Against Recommender Systems.
CoRR
Jiaxi Tang, Hongyi Wen, Ke Wang
2020 J jnl
Understanding and Improving Knowledge Distillation.
CoRR
Jiaxi Tang, Rakesh Shivanna, Zhe Zhao, Dong Lin, Anima Singh, Ed H. Chi, Sagar Jain
2019 A* conf
Towards Neural Mixture Recommender for Long Range Dependent User Sequences.
WWW
Jiaxi Tang, Francois Belletti, Sagar Jain, Minmin Chen, Alex Beutel, Can Xu, Ed H. Chi
2019 J jnl
Towards Neural Mixture Recommender for Long Range Dependent User Sequences.
CoRR
Jiaxi Tang, Francois Belletti, Sagar Jain, Minmin Chen, Alex Beutel, Can Xu, Ed H. Chi
2018 A conf
Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding.
WSDM
Jiaxi Tang, Ke Wang
2018 J jnl
Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding.
CoRR
Jiaxi Tang, Ke Wang
2018 A* conf
Ranking Distillation: Learning Compact Ranking Models With High Performance for Recommender System.
KDD
Jiaxi Tang, Ke Wang
2018 J jnl
Ranking Distillation: Learning Compact Ranking Models With High Performance for Recommender System.
CoRR
Jiaxi Tang, Ke Wang
2018 A conf
Sequential Recommendation with User Memory Networks.
WSDM
Xu Chen, Hongteng Xu, Yongfeng Zhang, Jiaxi Tang, Yixin Cao, Zheng Qin, Hongyuan Zha
2016 A* conf
Browsing Regularities in Hedonic Content Systems.
IJCAI
Ping Luo, Ganbin Zhou, Jiaxi Tang, Rui Chen, Zhongjie Yu, Qing He