| 2025 | ICONIP | DTSAT-DRQN: A Novel DRQN-Enhanced Chaos Communication Strategy with Dual-TCN. | Siyu Hu, Wang Yu, Jiqiang Liu, Xiaoqiang Zhu, Zhenyan Ji, Chenyang Wang, Xiangyi Chen |
| 2025 | IJCAI | DiffFERV: Diffusion-based Facial Editing of Real Videos. | Xiangyi Chen, Han Xue, Li Song |
| 2025 | RecSys | PinFM: Foundation Model for User Activity Sequences at a Billion-scale Visual Discovery Platform. | Xiangyi Chen, Kousik Rajesh, Matthew Lawhon, Zelun Wang, Hanyu Li, Haomiao Li, Saurabh Vishwas Joshi, Pong Eksombatchai, Jaewon Yang, Yi-Ping Hsu, Jiajing Xu, Charles Rosenberg |
| 2024 | GLOBECOM | Energy-efficient Service Deployment Based on Multi-Dimensional Features in Mobile Edge Computing: A Learning-Based Approach. | Xiangyi Chen, Yang Li, Huanlai Xing, Danyang Zheng, Min Li, Lexi Xu, Hai Zhao |
| 2024 | RecSys | Privacy Preserving Conversion Modeling in Data Clean Room. | Kungang Li, Xiangyi Chen, Ling Leng, Jiajing Xu, Jiankai Sun, Behnam Rezaei |
| 2023 | BMVC | Face Aging via Diffusion-based Editing. | Xiangyi Chen, Stphane Lathuilire |
| 2022 | ACML | On the Convergence of Decentralized Adaptive Gradient Methods. | Xiangyi Chen, Belhal Karimi, Weijie Zhao, Ping Li |
| 2022 | ICML | Understanding Clipping for Federated Learning: Convergence and Client-Level Differential Privacy. | Xinwei Zhang, Xiangyi Chen, Mingyi Hong, Steven Wu, Jinfeng Yi |
| 2022 | UAI | Distributed adversarial training to robustify deep neural networks at scale. | Gaoyuan Zhang, Songtao Lu, Yihua Zhang, Xiangyi Chen, Pin-Yu Chen, Quanfu Fan, Lee Martie, Lior Horesh, Mingyi Hong, Sijia Liu |
| 2020 | ICML | Min-Max Optimization without Gradients: Convergence and Applications to Black-Box Evasion and Poisoning Attacks. | Sijia Liu, Songtao Lu, Xiangyi Chen, Yao Feng, Kaidi Xu, Abdullah Al-Dujaili, Mingyi Hong, Una-May O'Reilly |
| 2019 | ACSSC | Alternating Gradient Descent Ascent for Nonconvex Min-Max Problems in Robust Learning and GANs. | Songtao Lu, Rahul Singh, Xiangyi Chen, Yongxin Chen, Mingyi Hong |
| 2019 | ICLR | On the Convergence of A Class of Adam-Type Algorithms for Non-Convex Optimization. | Xiangyi Chen, Sijia Liu, Ruoyu Sun, Mingyi Hong |
| 2019 | ICLR | signSGD via Zeroth-Order Oracle. | Sijia Liu, Pin-Yu Chen, Xiangyi Chen, Mingyi Hong |