Browsing Regularities in Hedonic Content Systems. - Ping Luo 001; Ganbin Zhou; Jiaxi Tang; Rui Chen; Zhongjie Yu 002; Qing He 003 (IJCAI, 2016)

Ranking Distillation: Learning Compact Ranking Models With High Performance for Recommender System. - Jiaxi Tang; Ke Wang 001 (KDD, 2018)

Sequential Recommendation with User Memory Networks. - Xu Chen 017; Hongteng Xu; Yongfeng Zhang; Jiaxi Tang; Yixin Cao 002; Zheng Qin 003; Hongyuan Zha (WSDM, 2018)

Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding. - Jiaxi Tang; Ke Wang 001 (WSDM, 2018)

Towards Neural Mixture Recommender for Long Range Dependent User Sequences. - Jiaxi Tang; Francois Belletti; Sagar Jain; Minmin Chen; Alex Beutel; Can Xu; Ed H. Chi (WWW, 2019)

Revisiting Adversarially Learned Injection Attacks Against Recommender Systems. - Jiaxi Tang; Hongyi Wen; Ke Wang 001 (RecSys, 2020)

Off-policy Learning in Two-stage Recommender Systems. - Jiaqi Ma 001; Zhe Zhao 001; Xinyang Yi; Ji Yang; Minmin Chen; Jiaxi Tang; Lichan Hong; Ed H. Chi (WWW, 2020)

Understanding and Improving Knowledge Distillation. - Jiaxi Tang; Rakesh Shivanna; Zhe Zhao 001; Dong Lin; Anima Singh; Ed H. Chi; Sagar Jain (CoRR, 2020)

Multimodal Data Fusion Using Non-Sparse Multi-Kernel Learning With Regularized Label Softening. - Peihua Wang; Chengyu Qiu; Jiali Wang; Yulong Wang; Jiaxi Tang; Bin Huang; Jian Su 001; Yuanpeng Zhang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

A Practical Post-Stroke Elbow Spasticity Assessment Using an Upper Limb Rehabilitation Robot: A Validation Study. - Xinliang Guo; Jiaxi Tang; Vincent Crocher; Marlena Klaic; Denny Oetomo; Qing Xie 005; Mary P. Galea; Chuanxin Minos Niu; Ying Tan 001 (EMBC, 2022)

Distributionally-robust Recommendations for Improving Worst-case User Experience. - Hongyi Wen; Xinyang Yi; Tiansheng Yao; Jiaxi Tang; Lichan Hong; Ed H. Chi (WWW, 2022)

A comparative review of graph convolutional networks for human skeleton-based action recognition. - Liqi Feng; Yaqin Zhao; Wenxuan Zhao; Jiaxi Tang (Artif. Intell. Rev., 2022)

Attention Optimized Deep Generative Adversarial Network for Removing Uneven Dense Haze. - Wenxuan Zhao; Yaqin Zhao; Liqi Feng; Jiaxi Tang (Symmetry, 2022)

Using sEMG Signal Frequency to Evaluate Post-Stroke Elbow Spasticity. - Xinliang Guo; Jiaxi Tang; Vincent Crocher; Marlena Klaic; Denny Oetomo; Qing Xie 005; Chuanxin Minos Niu; Ying Tan 001 (EMBC, 2023)

Improving Training Stability for Multitask Ranking Models in Recommender Systems. - Jiaxi Tang; Yoel Drori; Daryl Chang; Maheswaran Sathiamoorthy; Justin Gilmer; Li Wei; Xinyang Yi; Lichan Hong; Ed H. Chi (KDD, 2023)

Short-form Video Needs Long-term Interests: An Industrial Solution for Serving Large User Sequence Models. - Yuening Li; Diego Uribe; Chuan He; Jiaxi Tang; Qingyun Liu 003; Junjie Shan; Ben Most; Kaushik Kalyan; Shuchao Bi; Xinyang Yi; Lichan Hong; Ed H. Chi; et al. (RecSys, 2024)