Integrated Defense for Resilient Graph Matching. - Jiaxiang Ren 001; Zijie Zhang 001; Jiayin Jin; Xin Zhao; Sixing Wu; Yang Zhou 001; Yelong Shen; Tianshi Che; Ruoming Jin; Dejing Dou (ICML, 2021)

Expressive 1-Lipschitz Neural Networks for Robust Multiple Graph Learning against Adversarial Attacks. - Xin Zhao; Zeru Zhang; Zijie Zhang 001; Lingfei Wu 001; Jiayin Jin; Yang Zhou 001; Ruoming Jin; Dejing Dou; Da Yan 001 (ICML, 2021)

Validating the Lottery Ticket Hypothesis with Inertial Manifold Theory. - Zeru Zhang; Jiayin Jin; Zijie Zhang 001; Yang Zhou 001; Xin Zhao; Jiaxiang Ren 001; Ji Liu 003; Lingfei Wu 001; Ruoming Jin; Dejing Dou (NeurIPS, 2021)

Accelerated Federated Learning with Decoupled Adaptive Optimization. - Jiayin Jin; Jiaxiang Ren 001; Yang Zhou 001; Lingjuan Lyu; Ji Liu 003; Dejing Dou (ICML, 2022)

Input-agnostic Certified Group Fairness via Gaussian Parameter Smoothing. - Jiayin Jin; Zeru Zhang; Yang Zhou 001; Lingfei Wu 001 (ICML, 2022)

Dimension-independent Certified Neural Network Watermarks via Mollifier Smoothing. - Jiaxiang Ren 001; Yang Zhou 001; Jiayin Jin; Lingjuan Lyu; Da Yan 001 (ICML, 2023)

Entity Representation Learning Through Onsite-Offsite Graph for Pinterest Ads. - Jiayin Jin; Zhimeng Pan; Yang Tang; Jiarui Feng; Kungang Li; Chongyuan Xiang; Jiacheng Li; Runze Su; Siping Ji; Han Sun; Ling Leng; Prathibha Deshikachar (CoRR, 2025)

Multi-Faceted Large Embedding Tables for Pinterest Ads Ranking. - Runze Su; Jiayin Jin; Jiacheng Li; Sihan Wang; Guangtong Bai; Zelun Wang; Li Tang; Yixiong Meng; Huasen Wu; Zhimeng Pan; Kungang Li; Han Sun; et al. (CoRR, 2025)