Jiaxi Tang

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 20

Top Topics

Kernel Learning

Injection Attacks

Recommendation Systems

Top Venues

Publications

Jiaxi Tang, Yoel Drori, Daryl Chang, Maheswaran Sathiamoorthy, Justin Gilmer, Li Wei, Xinyang Yi, Lichan Hong, Ed H. Chi
Improving Training Stability for Multitask Ranking Models in Recommender Systems. KDD (2023)
Jiaxi Tang, Yoel Drori, Daryl Chang, Maheswaran Sathiamoorthy, Justin Gilmer, Li Wei, Xinyang Yi, Lichan Hong, Ed H. Chi
Improving Training Stability for Multitask Ranking Models in Recommender Systems. CoRR (2023)
Xinliang Guo, Jiaxi Tang, Vincent Crocher, Marlena Klaic, Denny Oetomo, Qing Xie, Chuanxin Minos Niu, Ying Tan
Using sEMG Signal Frequency to Evaluate Post-Stroke Elbow Spasticity. EMBC (2023)
Hongyi Wen, Xinyang Yi, Tiansheng Yao, Jiaxi Tang, Lichan Hong, Ed H. Chi
Distributionally-robust Recommendations for Improving Worst-case User Experience. WWW (2022)
Wenxuan Zhao, Yaqin Zhao, Liqi Feng, Jiaxi Tang
Attention Optimized Deep Generative Adversarial Network for Removing Uneven Dense Haze. Symmetry 14 (1) (2022)
Liqi Feng, Yaqin Zhao, Wenxuan Zhao, Jiaxi Tang
A comparative review of graph convolutional networks for human skeleton-based action recognition. Artif. Intell. Rev. 55 (5) (2022)
Xinliang Guo, Jiaxi Tang, Vincent Crocher, Marlena Klaic, Denny Oetomo, Qing Xie, Mary P. Galea, Chuanxin Minos Niu, Ying Tan
A Practical Post-Stroke Elbow Spasticity Assessment Using an Upper Limb Rehabilitation Robot: A Validation Study. EMBC (2022)
Peihua Wang, Chengyu Qiu, Jiali Wang, Yulong Wang, Jiaxi Tang, Bin Huang, Jian Su, Yuanpeng Zhang
Multimodal Data Fusion Using Non-Sparse Multi-Kernel Learning With Regularized Label Softening. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14 (2021)
Jiaxi Tang, Rakesh Shivanna, Zhe Zhao, Dong Lin, Anima Singh, Ed H. Chi, Sagar Jain
Understanding and Improving Knowledge Distillation. CoRR (2020)
Jiaxi Tang, Hongyi Wen, Ke Wang
Revisiting Adversarially Learned Injection Attacks Against Recommender Systems. CoRR (2020)
Jiaqi Ma, Zhe Zhao, Xinyang Yi, Ji Yang, Minmin Chen, Jiaxi Tang, Lichan Hong, Ed H. Chi
Off-policy Learning in Two-stage Recommender Systems. WWW (2020)
Jiaxi Tang, Hongyi Wen, Ke Wang
Revisiting Adversarially Learned Injection Attacks Against Recommender Systems. RecSys (2020)
Jiaxi Tang, Francois Belletti, Sagar Jain, Minmin Chen, Alex Beutel, Can Xu, Ed H. Chi
Towards Neural Mixture Recommender for Long Range Dependent User Sequences. CoRR (2019)
Jiaxi Tang, Francois Belletti, Sagar Jain, Minmin Chen, Alex Beutel, Can Xu, Ed H. Chi
Towards Neural Mixture Recommender for Long Range Dependent User Sequences. WWW (2019)
Jiaxi Tang, Ke Wang
Ranking Distillation: Learning Compact Ranking Models With High Performance for Recommender System. CoRR (2018)
Jiaxi Tang, Ke Wang
Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding. CoRR (2018)
Xu Chen, Hongteng Xu, Yongfeng Zhang, Jiaxi Tang, Yixin Cao, Zheng Qin, Hongyuan Zha
Sequential Recommendation with User Memory Networks. WSDM (2018)
Jiaxi Tang, Ke Wang
Ranking Distillation: Learning Compact Ranking Models With High Performance for Recommender System. KDD (2018)
Jiaxi Tang, Ke Wang
Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding. WSDM (2018)
Ping Luo, Ganbin Zhou, Jiaxi Tang, Rui Chen, Zhongjie Yu, Qing He
Browsing Regularities in Hedonic Content Systems. IJCAI (2016)