Cui, Xiaodong

17 publications

NeurIPS 2025 Objective Soups: Multilingual Multi-Task Modeling for Speech Processing A F M Saif, Lisha Chen, Xiaodong Cui, Songtao Lu, Brian Kingsbury, Tianyi Chen

ICLR 2025 Training Nonlinear Transformers for Chain-of-Thought Inference: A Theoretical Generalization Analysis Hongkang Li, Songtao Lu, Pin-Yu Chen, Xiaodong Cui, Meng Wang

ICMLW 2024 How Do Nonlinear Transformers Acquire Generalization-Guaranteed CoT Ability? Hongkang Li, Meng Wang, Songtao Lu, Xiaodong Cui, Pin-Yu Chen

ICMLW 2024 How Do Nonlinear Transformers Acquire Generalization-Guaranteed CoT Ability? Hongkang Li, Meng Wang, Songtao Lu, Xiaodong Cui, Pin-Yu Chen

ICML 2024 How Do Nonlinear Transformers Learn and Generalize in In-Context Learning? Hongkang Li, Meng Wang, Songtao Lu, Xiaodong Cui, Pin-Yu Chen

ICML 2023 Compressed Decentralized Proximal Stochastic Gradient Method for Nonconvex Composite Problems with Heterogeneous Data Yonggui Yan, Jie Chen, Pin-Yu Chen, Xiaodong Cui, Songtao Lu, Yangyang Xu

AISTATS 2023 Distributed Offline Policy Optimization over Batch Data Han Shen, Songtao Lu, Xiaodong Cui, Tianyi Chen

NeurIPSW 2023 Transformers as Multi-Task Feature Selectors: Generalization Analysis of In-Context Learning Hongkang Li, Meng Wang, Songtao Lu, Hui Wan, Xiaodong Cui, Pin-Yu Chen

NeurIPS 2022 A Stochastic Linearized Augmented Lagrangian Method for Decentralized Bilevel Optimization Songtao Lu, Siliang Zeng, Xiaodong Cui, Mark Squillante, Lior Horesh, Brian Kingsbury, Jia Liu, Mingyi Hong

NeurIPS 2020 A Decentralized Parallel Algorithm for Training Generative Adversarial Nets Mingrui Liu, Wei Zhang, Youssef Mroueh, Xiaodong Cui, Jarret Ross, Tianbao Yang, Payel Das

NeurIPS 2020 ScaleCom: Scalable Sparsified Gradient Compression for Communication-Efficient Distributed Training Chia-Yu Chen, Jiamin Ni, Songtao Lu, Xiaodong Cui, Pin-Yu Chen, Xiao Sun, Naigang Wang, Swagath Venkataramani, Vijayalakshmi Srinivasan, Wei Zhang, Kailash Gopalakrishnan

IJCAI 2020 Task-Based Learning via Task-Oriented Prediction Network with Applications in Finance Di Chen, Yada Zhu, Xiaodong Cui, Carla P. Gomes

ICLR 2020 Towards Better Understanding of Adaptive Gradient Algorithms in Generative Adversarial Nets Mingrui Liu, Youssef Mroueh, Jerret Ross, Wei Zhang, Xiaodong Cui, Payel Das, Tianbao Yang

NeurIPS 2020 Ultra-Low Precision 4-Bit Training of Deep Neural Networks Xiao Sun, Naigang Wang, Chia-Yu Chen, Jiamin Ni, Ankur Agrawal, Xiaodong Cui, Swagath Venkataramani, Kaoutar El Maghraoui, Vijayalakshmi Srinivasan, Kailash Gopalakrishnan

NeurIPS 2019 Hybrid 8-Bit Floating Point (HFP8) Training and Inference for Deep Neural Networks Xiao Sun, Jungwook Choi, Chia-Yu Chen, Naigang Wang, Swagath Venkataramani, Vijayalakshmi Srinivasan, Xiaodong Cui, Wei Zhang, Kailash Gopalakrishnan

NeurIPS 2018 Evolutionary Stochastic Gradient Descent for Optimization of Deep Neural Networks Xiaodong Cui, Wei Zhang, Zoltán Tüske, Michael Picheny

NeurIPS 2017 Dilated Recurrent Neural Networks Shiyu Chang, Yang Zhang, Wei Han, Mo Yu, Xiaoxiao Guo, Wei Tan, Xiaodong Cui, Michael Witbrock, Mark A Hasegawa-Johnson, Thomas S. Huang